Literature Network

The following network shows which literature references key literature for Attended Home Deliveries. Each node represents literature, e.g. a paper or a book. If there is an edge between two nodes, the more recent literature references the other. With hovering a node you get information about author, year, title etc. For the network visualization the "cited by" information provided by Web of Science was used.

Agatz, N., Campbell, A., Fleischmann, M., and Savelsbergh, M. (2011). Time Slot Management in Attended Home Delivery. Transportation Science 45, 435–449.Bühler, D., Klein, R., and Neugebauer, M. (2016). Model-based delivery cost approximation in attended home services. Computers & Industrial Engineering 98, 78–90.Cleophas, C., and Ehmke, J.F. (2014). When Are Deliveries Profitable?: Considering Order Value and Transport Capacity in Demand Fulfillment for Last-Mile Deliveries in Metropolitan Areas. Business & Information Systems Engineering 6, 153–163.Ehmke, J.F., and Campbell, A.M. (2014). Customer acceptance mechanisms for home deliveries in metropolitan areas. European Journal of Operational Research 233, 193–207.Klein, R., Neugebauer, M., Ratkovitch, D., and Steinhardt, C. (2016a). Differentiated time slot pricing under routing considerations in attended home delivery.Yang, X., Strauss, A.K., Currie, C.S.M., and Eglese, R. (2014). Choice-Based Demand Management and Vehicle Routing in E-Fulfillment. Transportation Science 141223041352002.Campbell, A.M., and Savelsbergh, M. (2006). Incentive Schemes for Attended Home Delivery Services. Transportation Science 40, 327–341.Hillier, F.S., and Price, C.C. (2004). International Series in Operations Research & Management Science (Springer).Campbell, A.M. (2006). Aggregation for the probabilistic traveling salesman problem. Computers & Operations Research 33, 2703–2724.Confessore, G., Corini, D., and Stecca, G. (2006). Pricing Of Delivery Service In A Logistics Network. In Working Conference on Virtual Enterprises, (Springer), pp. 313–320.Finland, O. Vehicle routing methodologies to support costing and pricing decisions.Cordeau, J.-F., Laporte, G., Potvin, J.-Y., and Savelsbergh, M.W. (2007). Transportation on demand. Handbooks in Operations Research and Management Science 14, 429–466.Douma, A., Schuur, P., and Schutten, M. (2007). Barge rotation planning and quay scheduling in the port of rotterdam (Beta Research School for Operations Management and Logistics, University of Twente).Lim, S.F.W., Jin, X., and Srai, J.S. LAST-MILE LOGISTICS STRUCTURES: A LITERATURE REVIEW AND DESIGN GUIDELINE.Nakari, P., Bräysy, O., and Dullaert, W. (2007). Communal Transportation: Challenges for Largescale Routing Heuristics.Agatz, N., Campbell, A., Fleischmann, M., van Nunen, J., and Savelsbergh, M. (2008a). Demand Management Opportunities in E-fulfillment.Agatz, N., Campbell, A.M., Fleischmann, M., van Nunen, J., and Savelsbergh, M. (2008b). Demand management opportunities in e-fulfillment: What internet retailers can learn from revenue management.Agatz, N.A., Fleischmann, M., and Van Nunen, J.A. (2008d). E-fulfillment and multi-channel distribution–A review. European Journal of Operational Research 187, 339–356.Confessore, G., Corini, D., and Stecca, G. (2008). A computational method for pricing of delivery service in a logistics network. International Journal of Production Research 46, 1231–1242.Douma, A.M. (2008). Aligning the operations of barges and terminals through distributed planning (University of Twente).Douma, A., Schuur, P., and Schutten, M. (2008). Using service-time profiles for distributed planning of container barge rotations along terminals (Beta Research School for Operations Management and Logistics, University of Twente).Asdemir, K., Jacob, V.S., and Krishnan, R. (2009). Dynamic pricing of multiple home delivery options. European Journal of Operational Research 196, 246–257.Bräysy, O., Dullaert, W., and Nakari, P. (2009). The potential of optimization in communal routing problems: case studies from Finland. Journal of Transport Geography 17, 484–490.Campbell, A., Agatz, N., Fleischmann, M., and Savelsbergh, M. (2009). Time Slot Management in Attended Home Delivery. In Industry Studies Association. 2009 Annual Conference, (Citeseer), pp. 1–32.Douma, A., Schutten, M., and Schuur, P. (2009). Waiting profiles: An efficient protocol for enabling distributed planning of container barge rotations along terminals in the port of Rotterdam. Transportation Research Part C: Emerging Technologies 17, 133–148.Fry, M.J., and Ohlmann, J.W. (2009). Route design for delivery of voting machines in hamilton county, ohio. Interfaces 39, 443–459.Zuglian, S. (2009). Evaluation of the cost of time windows in home delivery applications. Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark.Ehmke, J.F., and Mattfeld, D.C. DATA ALLOCATION AND APPLICATION FOR TIME-DEPENDENT DELIVERY IN URBAN AREAS.Akkerman, R., Farahani, P., and Grunow, M. (2010). Quality, safety and sustainability in food distribution: a review of quantitative operations management approaches and challenges. Or Spectrum 32, 863–904.Rickli, J.L., and Camelio, J.A. (2010). Impacting Consumer End-of-Life Product Return Decisions With Incentives. In Proceedings of the 17th CIRP International Conference on Life Cycle Engineering, May, pp. 19–21.Agatz, N., and van Nunen, J. (2011). Demand Management in Transportation and Logistics. In Transitions Towards Sustainable Mobility, (Springer), pp. 161–171.Douma, A., Schuur, P., and Jagerman, R. (2011). Degrees of terminal cooperativeness and the efficiency of the barge handling process. Expert Systems with Applications 38, 3580–3589.Lomme, L. (2011). incentive schemes in distribution logistics. GHENT UNIVERSITY.Desaulniers, G. (2012). The Discrete Time Window Assignment Vehicle Routing Problem R. Spliet.Ehmke, J.F., and Mattfeld, D.C. (2012). Vehicle routing for attended home delivery in city logistics. Procedia-Social and Behavioral Sciences 39, 622–632.Ehmke, J.F., Steinert, A., and Mattfeld, D.C. (2012). Advanced routing for city logistics service providers based on time-dependent travel times. Journal of Computational Science 3, 193–205.Lasch, R., Schultmann, F., Goebel, P., Moeller, S., and Pibernik, R. (2012). Paying for convenience: Attractiveness and revenue potential of time-based delivery services. International Journal of Physical Distribution & Logistics Management 42, 584–606.Turner, J.P., Lee, S., Daskin, M.S., Homem-de-Mello, T., and Smilowitz, K. (2012). Dynamic fleet scheduling with uncertain demand and customer flexibility. Computational Management Science 9, 459–481.Agatz, N., Campbell, A.M., Fleischmann, M., Van Nunen, J., and Savelsbergh, M. (2013). Revenue management opportunities for Internet retailers. Journal of Revenue and Pricing Management 12, 128–138.Spliet, R. (2013). Vehicle routing with uncertain demand.Rickli, J.L. (2013). The Effect of Uncertain End-of-Life Product Quality and Consumer Incentives on Partial Disassembly Sequencing in Value Recovery Operations.Xing, Y., Li, L., Bi, Z., Wilamowska-Korsak, M., and Zhang, L. (2013). Operations research (OR) in service industries: a comprehensive review. Systems Research and Behavioral Science 30, 300–353.CASAZZA, M., CESELLI, D.A., CALVO, R.W., and DAMIANI, E. ALGORITHMS FOR OPTIMIZATION PROBLEMS WITH FRACTIONAL RESOURCES.Ehmke, J.F., Campbell, A.M., and Thomas, B.W. (2014). Solution Approaches for Stochastic Emissions-minimized Paths in Urban Areas. In Technical Report, (University of Iowa Iowa City), p.Herrel, K. (2014). A visual interactive simulation application for minimizing risk and improving outbound logistical efficiency in time-sensitive attended home deliveries and services. Simulation 90, 377–404.Kovacs, A.A., Golden, B.L., Hartl, R.F., and Parragh, S.N. (2014). Vehicle routing problems in which consistency considerations are important: A survey. Networks 64, 192–213.Kovacs, M.A.A. Vehicle routing problems with service consistency considerations.Nabot, A. (2014). Effective, efficient and reliable postcode alternative system in the context of online shopping for solving the problem of home delivery service in Jordan. Brunel University.Nuzzolo, A., Comib, A., and Rosati, L. Investigating the impacts of e-purchase deliveries: the deployment of pick-up points.Ruff, V. (2014). Coordinated Planning in Revenue Management.Spliet, R., and Gabor, A.F. (2014). The time window assignment vehicle routing problem. Transportation Science 49, 721–731.Van Duin, J.H.R., Kortmann, R., and van den Boogaard, S.L. (2014). City logistics through the canals? A simulation study on freight waterborne transport in the inner-city of Amsterdam. International Journal of Urban Sciences 18, 186–200.Wang, X., Zhan, L., Ruan, J., and Zhang, J. (2014). How to choose “last mile” delivery modes for E-fulfillment. Mathematical Problems in Engineering 2014.Bouzidi, S., Zhang, Y., and Ye, Q.C. (2014). Barge processing policies in container terminals: A multi-agent simulation study.Kratsch, W. (2014). Design von Anreizsystemen im Attended Home Delivery.Banerjee, A., and Siemens, F. Logistics of E-Groceries. de. Innovations and Strate Logistics and Supply Ch 91.Ehmke, J.F., Campbell, A.M., and Urban, T.L. (2015). Ensuring service levels in routing problems with time windows and stochastic travel times. European Journal of Operational Research 240, 539–550.Groß, P.-O., Ulmer, M.W., Ehmke, J.F., and Mattfeld, D.C. (2015). Exploiting travel time information for reliable routing in city logistics. Transportation Research Procedia 10, 652–661.Kasemsap, K. (2015). The role of electronic commerce in the global business environments. Handbook of Research on Interactive Information Quality in Expanding Social Network Communications 304–324.Kersten, W., Blecker, T., and Ri, C.M. Logistics of E-Groceries.Leaver, I.I., and Richard, D. (2015). Business Strategies to Improve On-Time Deliveries and Profits in Southcentral Alaska.Lin, C.-S., Hsu, C.-L., and Chen, M.-C. (2015). Determinants of customer loyalty for home delivery. International Journal of Logistics Systems and Management 22, 125–154.Pulido, R., Muñoz, J.C., and Gazmuri, P. (2015). A continuous approximation model for locating warehouses and designing physical and timely distribution strategies for home delivery. EURO Journal on Transportation and Logistics 4, 399–419.Spliet, R., and Desaulniers, G. (2015). The discrete time window assignment vehicle routing problem. European Journal of Operational Research 244, 379–391.van der Helm, P. (2015). Competitiveness of Logistics Service Centers in the High Volume Parcel Delivery Market. Unpublished Doctoral Dissertation.Voccia, S.A., Campbell, A.M., and Thomas, B.W. (2015). The same-day delivery problem for online purchases. Tippie College of Business, University of Iowa 1–40.Kratsch, W. (2015). Design von Anreizsystemen im Attended Home Delivery: Vorstellung mathematischer Modellformulierungen und anschließende Implementierung des Systems mit IBM ILOG und MS EXCEL (diplom. de).Torabi, S.A., Hassini, E., and Jeihoonian, M. (2015a). Fulfillment source allocation, inventory transshipment, and customer order transfer in e-tailing. Transportation Research Part E: Logistics and Transportation Review 79, 128–144.Torabi, S.A., Hassini, E., and Jeihoonian, M. (2015b). Transportation Research Part E.Brown, J.R., Bushuev, M.A., Kretinin, A.A., and Guiffrida, A.L. (2016). Recent Developments in Green Supply Chain Management: Sourcing and Logistics. Green Supply Chain Management for Sustainable Business Practice 191.Casazza, M., Ceselli, A., and Létocart, L. (2016). Optimizing time slot allocation in single operator home delivery problems. In Operations Research Proceedings 2014, (Springer), pp. 91–97.Ehmke, J.F., Campbell, A.M., and Thomas, B.W. (2016). Data-driven approaches for emissions-minimized paths in urban areas. Computers & Operations Research 67, 34–47.Groß, P.-O., Geisinger, M., Ehmke, J.F., and Mattfeld, D.C. (2016). Interval travel times for more reliable routing in city logistics. Transportation Research Procedia 12, 239–251.Jeanpert, S., and Paché, G. (2016). Integration process in multichannel management: from consumer decisions to supply chain strategy. In Supply Chain Forum: An International Journal, (Taylor & Francis), pp. 1–15.Kasemsap, K. (2016). Implementing electronic commerce in global marketing. In Encyclopedia of E-Commerce Development, Implementation, and Management, (IGI Global), pp. 591–602.Klein, R., Mackert, J., Neugebauer, M., and Steinhardt, C. (2016b). On the Approximation of Opportunity Cost for Dynamic Pricing in Attended Home Delivery.Kotzab, X.B., Christoph Teller, H., Hübner, A., Kuhn, H., and Wollenburg, J. (2016). Last mile fulfilment and distribution in omni-channel grocery retailing: a strategic planning framework. International Journal of Retail & Distribution Management 44, 228–247.Lei, Y., and Jasin, S. (2016). Real-time dynamic pricing for revenue management with reusable resources and deterministic service time requirements.Liu, L., Li, K., and Liu, Z. (2016). A capacitated vehicle routing problem with order available time in e-commerce industry. Engineering Optimization 1–17.Malas, A., El Falou, M., El Falou, S., Itmi, M., and Cardon, A. (2016). Multi-agent approach for on-demand transport problem in a city. In Electrical, Electronics, Computer Engineering and Their Applications (EECEA), 2016 Third International Conference on, (IEEE), pp. 40–45.Nabot, A., and Omar, F. Comparative Study of the Impacts of Conventional and Online Retailing on the Environment: A Last Mile Perspective.Nguyen, D.H., Leeuw, S., and Dullaert, W.E. (2016). Consumer Behaviour and Order Fulfilment in Online Retailing: A Systematic Review. International Journal of Management Reviews.Pan, S., Yufei, H., Qiao, B., Grover-Silva, E., Giannikas, V., and others (2016). Mining Customer-related Data to Enhance Home Delivery in E-commerce: an experimental study. In 6th International Conference on Information Systems, Logistics and Supply Chain (ILS2016), p.Rincon Garcia, N. (2016). Freight transport, routing software and time-dependent vehicle routing models. University of Southampton.Rodríguez-García, M., Domínguez-Caamaño, P., and Prado-Prado, J.C. (2016). La Nueva Cadena de Suministro en la Era de los E-Retailers: Una Revisión Bibliográfica Actualizada. Dirección Y Organización 18–31.Ruan, J., and Shi, Y. (2016). Monitoring and assessing fruit freshness in IOT-based e-commerce delivery using scenario analysis and interval number approaches. Information Sciences 373, 557–570.Savisaari, A., and others (2016). Supply chain effects in creation of omnichannel customer experience in grocery retail.Taniguchi, E., Thompson, R.G., and Yamada, T. (2016). New opportunities and challenges for city logistics. Transportation Research Procedia 12, 5–13.Ulmer, M.W. (2016). Anticipation vs. reoptimization for dynamic vehicle routing with stochastic requests (Submitted).Ulmer, M.W., Thomas, B.W., and Mattfeld, D.C. (2016). Preemptive depot returns for a dynamic same-day delivery problem (working paper).Vrugt, N.M. (2016). Efficient healthcare logistics with a human touch. University of Twente.Yang, X., and Strauss, A.K. (2016). An Approximate Dynamic Programming Approach to Attended Home Delivery Management. European Journal of Operational Research.Yang, X., Vernitski, A., and Carrea, L. (2016). An approximate dynamic programming approach for improving accuracy of lossy data compression by Bloom filters. European Journal of Operational Research 252, 985–994.Chen, C.-C., and Chen, Y.-C. (2016). Dynamic Programming Model for Attended Delivery Time Slot Management. Transportation Research Record: Journal of the Transportation Research Board 43–52.DE LUCIA, S. (2016). Home delivery su appuntamento nell’eCommerce B2c: sviluppo di un modello per la quantificazione dei costi.Ghajargar, M., Zenezini, G., and Montanaro, T. (2016). Home delivery services: innovations and emerging needs. IFAC-PapersOnLine 49, 1371–1376.Montanaro, T. (2016). Home delivery services: innovations and emerging needs.Van Duin, J.H.R., De Goffau, W., Wiegmans, B., Tavasszy, L.A., and Saes, M. (2016). Improving home delivery efficiency by using principles of address intelligence for B2C deliveries. Transportation Research Procedia 12, 14–25.Campbell, A.M., and Savelsbergh, M.W.P. (2005). Decision Support for Consumer Direct Grocery Initiatives. Transportation Science 39, 313–327.Acimovic, J., and Graves, S.C. (2014). Making better fulfillment decisions on the fly in an online retail environment. Manufacturing & Service Operations Management 17, 34–51.Aksen, D., and Altinkemer, K. (2008). A location-routing problem for the conversion to the “click-and-mortar” retailing: The static case. European Journal of Operational Research 186, 554–575.Amini, S. (2011). A novel PSO for solving the VRPTW with real case study. In Proceedings of the 2011 International Conference on Industrial Engineering and Operations Management, pp. 103–110.Amini, S., Javanshir, H., and Tavakkoli-Moghaddam, R. (2010). A PSO approach for solving VRPTW with real case study. Int. J. Res. Rev. Appl. Sci 4, 118–126.Arango Serna, M.D., Adarme Jaimes, W., and Zapata Cortes, J.A. (2010). Commodities distribution using alternative types of transport. A study in the Colombian Bread SMEs. Dyna 77, 222–233.Azi, N., Gendreau, M., and Potvin, J.-Y. (2010). An exact algorithm for a vehicle routing problem with time windows and multiple use of vehicles. European Journal of Operational Research 202, 756–763.Azi, N., Gendreau, M., and Potvin, J.-Y. (2012). A dynamic vehicle routing problem with multiple delivery routes. Annals of Operations Research 199, 103–112.Azi, N., Gendreau, M., and Potvin, J.-Y. (2014). An adaptive large neighborhood search for a vehicle routing problem with multiple routes. Computers & Operations Research 41, 167–173.Bent, R., and Van Hentenryck, P. (2003). Dynamic vehicle routing with stochastic requests. In IJCAI, pp. 1362–1363.Bent, R., and Van Hentenryck, P. (2004a). Online stochastic and robust optimization. In Advances in Computer Science-ASIAN 2004. Higher-Level Decision Making, (Springer), pp. 286–300.Bent, R., and Van Hentenryck, P. (2004b). Regrets only! online stochastic optimization under time constraints. In AAAI, pp. 501–506.Bent, R., and Van Hentenryck, P. (2004c). The Value of Consensus in Online Stochastic Scheduling. In ICAPS, pp. 219–226.Bent, R., Van Hentenryck, P., and Ufval, E. (2005). Online Stochastic Optimization Under Time Constraints (Working Paper).Boyer, K.K., Prud’homme, A.M., and Chung, W. (2009). The last mile challenge: evaluating the effects of customer density and delivery window patterns. Journal of Business Logistics 30, 185–201.Campbell, A.M., and Thomas, B.W. (2009). Runtime reduction techniques for the probabilistic traveling salesman problem with deadlines. Computers & Operations Research 36, 1231–1248.Chaiwuttisak, P., Smith, H., Wu, Y., and Potts, C. (2014). Blood supply chain with insufficient supply: a case study of location and routing in Thailand. Lecture Notes in Management Science 6, 23–31.Colla, E., and Lapoule, P. (2012). E-commerce: exploring the critical success factors. International Journal of Retail & Distribution Management 40, 842–864.Cremers, M.L., Gromicho, J.A., Haneveld, W.K.K., and van der Vlerk, M.H. (2008). A dynamic service mechanic problem for a housing corporation. In CTW, pp. 78–81.De Magalhães, J.M., and De Sousa, J.P. (2006). Dynamic VRP in pharmaceutical distribution—a case study. Central European Journal of Operations Research 14, 177–192.Emeç, U., Çatay, B., and Bozkaya, B. (2016). An adaptive large neighborhood search for an e-grocery delivery routing problem. Computers & Operations Research 69, 109–125.Espinoza, D., Garcia, R., Goycoolea, M., Nemhauser, G.L., and Savelsbergh, M.W. (2008). Per-seat, on-demand air transportation part I: Problem description and an integer multicommodity flow model. Transportation Science 42, 263–278.Hays, T., Keskinocak, P., and De López, V.M. (2005). Strategies and challenges of internet grocery retailing logistics. In Applications of Supply Chain Management and E-Commerce Research, (Springer), pp. 217–252.Hewitt, M., Nowak, M., and Nataraj, N. (2016). Planning Strategies for Home Health Care Delivery. Asia-Pacific Journal of Operational Research 33, 1650041.Horne, S.E. (2010). A Seasonal Shelf Space Reorder Model Decision Support System. Kent State University.Hvattum, L.M., Løkketangen, A., and Laporte, G. (2007). A branch-and-regret heuristic for stochastic and dynamic vehicle routing problems. Networks 49, 330–340.Ileri, Y. (2006). Drayage optimization in truck/rail networks. Georgia Institute of Technology.Khoury, S. (2012). Route activity tracking and management using available technology. International Journal of Industrial Engineering Computations 3, 35–42.Klapp Belmar, M.A. (2016). DYNAMIC OPTIMIZATION FOR SAME-DAY DELIVERY OPERATIONS. Georgia Institute of Technology.Klein, R., Neugebauer, M., Ratkovitch, D., and Steinhardt, C. (2016b). Differentiated time slot pricing under routing considerations in attended home delivery.Koorevaar, S., Veelenturf, L.P., and van Woensel, T. (2016). Efficiency improvements in driver dispatching for dynamic PDPs.Lim, A., and Zhang, X. (2007). A two-stage heuristic with ejection pools and generalized ejection chains for the vehicle routing problem with time windows. INFORMS Journal on Computing 19, 443–457.Lucky Jr, W.D. (2008). What Makes Online Grocers Work? A Case Study Analysis of Factors Contributing to Online Grocery Store Profitability.Nouaouri, I., Goncalves, G., and Jolly, D. (2011). A Hybrid Tabu Search for a Vehicle Routing Problem with Double Time Windows for the Depot and Multiple use of Vehicles: Case of Fuel Delivery. International Journal of Industrial Engineering Research and Development (IJIERD) 2, 91–105.Nowak, M., Hewitt, M., and Nataraj, N. (2013). Planning strategies for home health care delivery. IIE Transactions on Healthcare Systems Engineering.Pekár, J., Brezina, I., Čičková, Z., and others (2013). Solving the real-life vehicle routing problem with time windows using self organizing migrating algorithm. Ekonomickỳ Časopis 497–513.Pillac, V., Gendreau, M., Guéret, C., and Medaglia, A.L. (2013). A review of dynamic vehicle routing problems. European Journal of Operational Research 225, 1–11.Psaraftis, H.N., Wen, M., and Kontovas, C.A. (2016). Dynamic vehicle routing problems: Three decades and counting. Networks 67, 3–31.Ramirez Bathen, A.B. (2015). Importance of supply chain and fulfillment operations in businesses that offer perishable food products online. NTNU.Resende, M.G., and Festa, P. (2005). An updated bibliography of GRASP.Roman, E.P. (2010). Simulation and optimization models for scheduling multi-step sequential procedures in nuclear medicine. Texas A&M University.Song, B.D., and Ko, Y.D. (2016). A vehicle routing problem of both refrigerated-and general-type vehicles for perishable food products delivery. Journal of Food Engineering 169, 61–71.Sze, S.N. (2011). A study on multi-trip vehicle routing problem with time windows and meal break considerations.Thomas, B.W. (2010). Dynamic vehicle routing. Wiley Encyclopedia of Operations Research and Management Science.Van Hentenryck, P., Bent, R., and Vergados, Y. (2006). Online stochastic reservation systems. In International Conference on Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, (Springer), pp. 212–227.Van Hentenryck, P., Bent, R., and Upfal, E. (2010). Online stochastic optimization under time constraints. Annals of Operations Research 177, 151–183.van de Vrugt, N.M. (2016). Efficient healthcare logistics with a human touch. Centre for Telematics and Information Technology, University of Twente.Yang, X., Strauss, A.K., Currie, C.S., and Eglese, R. (2014). Choice-based demand management and vehicle routing in e-fulfillment. Transportation Science 50, 473–488.ZIROUR, M. (2008). Vehicle routing problem: models and solutions. Journal of Quality Measurement and Analysis JQMA 4, 205–218.Subramanyam, A., and Gounaris, C.E. Strategic Allocation of Time Windows in Vehicle Routing Problems under Uncertainty.Zhang, S. (2016). Modeling green logistics activities for sustainable development using swarm intelligence. The Hong Kong Polytechnic University.Hungerländer, P., Maier, K., Pöcher, J., Rendl, A., and Truden, C. (2016). Solving an On-line Capacitated Vehicle Routing Problem with Structured Time Windows.Han, S., Zhao, L., Chen, K., Luo, Z., and Mishra, D. Appointment Scheduling and Routing Optimization of Attended Home Delivery System with Random Customer Behavior. European Journal of Operational Research.Hernandez, F., Gendreau, M., and Potvin, J.-Y. (2017). Heuristics for tactical time slot management: a periodic vehicle routing problem view. Intl. Trans. in Op. Res. n/a-n/a.Ulmer, M.W., and Thomas, B.W. (2017). Enough Waiting for the Cable Guy-Estimating Arrival Times for Service Vehicle Routing.Ulmer, M.W. (2017). Approximate Dynamic Programming for Dynamic Vehicle Routing. Operations Research/Computer Science Interfaces 6Guo, Z., Guo, P., Zhao, W., Wu, J., Xiao, H., Liang, Q., & Zou, Q. (2017). “Last Kilometer” Distribution Strategy Research of the County Logistics. Open Journal of Social Sciences, 5(05), 251.Ulmer, M. W. (2017). Dynamic pricing for same-day delivery routing.Ulmer, M. W., & Thomas, B. W. (2017). Meso-parametric value function approximation for dynamic customer acceptances in delivery routing.Hungerländer, P., Rendl, A., & Truden, C. (2017). On the Slot Optimization Problem in On-Line Vehicle Routing. Transportation Research Procedia, 27, 492-499.Ansari, S., Başdere, M., Li, X., Ouyang, Y., & Smilowitz, K. (2017). Advancements in continuous approximation models for logistics and transportation systems: 1996–2016. Transportation Research Part B: Methodological.Köhler, C., Lang, M. A., Cleophas, C., & Ehmke, J. F. (2018). Integrated Planning of Order Capture and Delivery for Attended Deliveries in Metropolitan Areas. In Operations Research Proceedings 2016(pp. 435-440). Springer, Cham.Vareias, A. D., Repoussis, P. P., & Tarantilis, C. D. (2017). Assessing Customer Service Reliability in Route Planning with Self-Imposed Time Windows and Stochastic Travel Times. Transportation Science.Guo, X., Li, B., Liu, Y., & Liang, L. (2017). Eliminating the Inconvenience of Carrying: Optimal Pricing of Delivery Service for Retailers. Service Science, 9(3), 181-191.Blokland, R. H., & Spliet, R. (2017). Incentive Schemes for Attended Home Delivery Services.Ulmer, M. W. (2017). Delivery deadlines for same-day delivery.Wenzel, S., & Peter, T. (2017). Comparing Different Distance Metrics for Calculating Distances in Urban Areas with a Supply Chain Simulation Tool. Simulation in Produktion und Logistik 2017, 119.Fortini, V. (2017). Fast logistics in the B2C eCommerce: a global overview.Phillipson, F., del Vecchyo, M. O., van Ginkel, B., Huizing, D., & Sangers, A. (2017, October). Optimising and Recognising 2-Stage Delivery Chains with Time Windows. In International Conference on Computational Logistics (pp. 366-380). Springer, Cham.Soeffker, N., Ulmer, M. W., & Mattfeld, D. C. On Fairness Aspects of Customer Acceptance Mechanisms in Dynamic Vehicle Routing.Bruck, B. P., Cordeau, J. F., & Iori, M. (2017). A practical time slot management and routing problem for attended home services. Omega.Klein, R., Mackert, J., Neugebauer, M., & Steinhardt, C. (2017). A model-based approximation of opportunity cost for dynamic pricing in attended home delivery. OR Spectrum, 1-28.Groß, P. O., Ehmke, J. F., Haas, I., & Mattfeld, D. C. (2017). Evaluation of Alternative Paths for Reliable Routing in City Logistics. Transportation Research Procedia, 27, 1195-1202.Melacini, M., & Tappia, E. (2018). A Critical Comparison of Alternative Distribution Configurations in Omni-Channel Retailing in Terms of Cost and Greenhouse Gas Emissions. Sustainability, 10(2), 307.Jin, M., Li, G., & Cheng, T. C. E. (2018). Buy Online and Pick Up In-store: Design of the Service Area. European Journal of Operational Research.Ni, M. (2018). Transportation Analytics and Last-mile Same-day Delivery with Local Store Fulfillment (Doctoral dissertation, Faculty of the Graduate School of the University at Buffalo, State University of New York).Yuen, K. F., Wang, X., Ng, L. T. W., & Wong, Y. D. (2018). An investigation of customers’ intention to use self-collection services for last-mile delivery. Transport Policy, 66, 1-8.
Key Literature 2005-2009 2010-2014 2015 & 2016 2017 2018


Key Literature

Asdemir, Kursad; Jacob, Varghese S.; Krishnan, Ramayya (2009): Dynamic pricing of multiple home delivery options. In: European Journal of Operational Research 196, S. 246–257.
Cleophas, Catherine; Ehmke, Jan Fabian (2014): When Are Deliveries Profitable? In: Bus Inf Syst Eng 6 (3), S. 153–163.
Ehmke, Jan Fabian; Campbell, Ann Melissa (2014): Customer acceptance mechanisms for home deliveries in metropolitan areas. In: European Journal of Operational Research 233 (1), S. 193–207.
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Table of literature

Author ↕ Year ↕ Title ↕
Bent, Russell; van Hentenryck, Pascal 2003 Dynamic vehicle routing with stochastic requests:
Bent, R; Van Hentenryck, P. 2004 Online stochastic and robust optimization:
Bent, Russell; van Hentenryck, Pascal 2004 Regrets only! online stochastic optimization under time constraints:
Bent, Russell; van Hentenryck, Pascal 2004 The Value of Consensus in Online Stochastic Scheduling:
Maher, Michael J. 2004 Advances in Computer Science-ASIAN 2004, Higher Level Decision Making: 9th Asian Computing Science Conference. Dedicated to Jean-Louis Lassez on the Occasion of His 5th Cycle Birthday, Chiang Mai, Thailand, December 8-10, 2004
Bent, Russell; van Hentenryck, Pascal; Ufval, Eli 2005 Online Stochastic Optimization Under Time Constraints:
Campbell, Ann Melissa; Savelsbergh, Martin W. P. 2005 Decision support for consumer direct grocery initiatives:
Hays, Tom; Keskinocak, Pınar; López, Virginia Malcome de 2005 Strategies and challenges of internet grocery retailing logistics:
Hillier, Frederick S.; Price, Camille C. 2005 International Series in Operations Research & Management Science:
Resende, Mauricio G. C.; Festa, Paola 2005 An updated bibliography of grasp:
Campbell, Ann Melissa 2006 Aggregation for the probabilistic traveling salesman problem:
Campbell, Ann Melissa; Savelsbergh, Martin 2006 Incentive schemes for attended home delivery services:
Confessore, Giuseppe; Corini, Daniele; Stecca, Giuseppe 2006 Pricing Of Delivery Service In A Logistics Network: Network-Centric Collaboration and Supporting Frameworks
Ileri, Yetkin 2006 Drayage optimization in truck/rail networks:
Magalhaes, José Miguel de; Sousa, Jorge Pinho de 2006 Dynamic VRP in pharmaceutical distribution—a case study:
Cordeau, Jean-François; Laporte, Gilbert; Potvin, Jean-Yves; Savelsbergh, Martin W. P. 2007 Transportation on demand:
Douma, Am; Schuur, Peter; Schutten, Johannes M. J. 2007 Barge rotation planning and quay scheduling in the port of Rotterdam:
Hvattum, Lars Magnus; Løkketangen, Arne; Laporte, Gilbert 2007 A branch‐and‐regret heuristic for stochastic and dynamic vehicle routing problems:
Lim, Andrew; Zhang, Xingwen 2007 A two-stage heuristic with ejection pools and generalized ejection chains for the vehicle routing problem with time windows:
Nakari, Pentti; Bräysy, Olli; Dullaert, Wout 2007 Communal Transportation: Challenges for Largescale Routing Heuristics
Agatz, Niels A. H.; Fleischmann, Moritz; van Nunen, Jo AEE 2008 E-fulfillment and multi-channel distribution–A review:
Agatz, Niels; Campbell, Ann Melissa; Fleischmann, Moritz; van Nunen, JAEE; Savelsbergh, Martin 2008 Demand management opportunities in e-fulfillment: What internet retailers can learn from revenue management
Aksen, Deniz; Altinkemer, Kemal 2008 A location-routing problem for the conversion to the “click-and-mortar” retailing: The static case
Confessore, G.; Corini, D.; Stecca, G. 2008 A computational method for pricing of delivery service in a logistics network:
Cremers, Maria LAG; Gromicho, Joaquim A. S.; Haneveld, Willem K. Klein; van der Vlerk, Maarten H. 2008 A dynamic service mechanic problem for a housing corporation:
Douma, Albert Menno 2008 Aligning the operations of barges and terminals through distributed planning:
Douma, Am; Schuur, Peter; Schutten, Johannes M. J. 2008 Using service-time profiles for distributed planning of container barge rotations along terminals:
Espinoza, D.; Garcia, R.; Goycoolea, Marcos; Nemhauser, George L.; Savelsbergh, Martin W. P. 2008 Per-seat, on-demand air transportation part I: Problem description and an integer multicommodity flow model
Lucky Jr, William D. 2008 What Makes Online Grocers Work? A Case Study Analysis of Factors Contributing to Online Grocery Store Profitability:
ZIROUR, MOURAD 2008 Vehicle routing problem: Models and solutions
Asdemir, Kursad; Jacob, Varghese S.; Krishnan, Ramayya 2009 Dynamic pricing of multiple home delivery options:
Boyer, Kenneth K.; Prud'homme, Andrea M.; Chung, Wenming 2009 The last mile challenge: Evaluating the effects of customer density and delivery window patterns
Bräysy, Olli; Dullaert, Wout; Nakari, Pentti 2009 The potential of optimization in communal routing problems: Case studies from Finland
Campbell, Ann Melissa; Thomas, Barrett W. 2009 Runtime reduction techniques for the probabilistic traveling salesman problem with deadlines:
Douma, Albert; Schutten, Marco; Schuur, Peter 2009 Waiting profiles: An efficient protocol for enabling distributed planning of container barge rotations along terminals in the port of Rotterdam
Fry, Michael J.; Ohlmann, Jeffrey W. 2009 Route design for delivery of voting machines in hamilton county, ohio:
van Hentenryck, Pascal; Bent, Russell; Mercier, Luc; Vergados, Yannis 2009 Online stochastic reservation systems:
Zuglian, Sara 2009 Evaluation of the cost of time windows in home delivery applications:
Akkerman, Renzo; Farahani, Poorya; Grunow, Martin 2010 Quality, safety and sustainability in food distribution: A review of quantitative operations management approaches and challenges
Amini, Shahrzad; Javanshir, Hassan; Tavakkoli-Moghaddam, Reza 2010 A PSO approach for solving VRPTW with real case study:
Arango Serna, Martín Darío; Adarme Jaimes, Wilson; Zapata Cortés, Julián Andrés 2010 Commodities distribution using alternative types of transport. A study in the Colombian Bread SMEs:
Azi, Nabila; Gendreau, Michel; Potvin, Jean-Yves 2010 An exact algorithm for a vehicle routing problem with time windows and multiple use of vehicles:
Ehmke, Jan Fabian; Mattfeld, Dirk Christian 2010 DATA ALLOCATION AND APPLICATION FOR TIME-DEPENDENT DELIVERY IN URBAN AREAS:
Horne, Susan Elaine 2010 A Seasonal Shelf Space Reorder Model Decision Support System:
Rickli, J. L.; Camelio, J. A. 2010 Impacting Consumer End-of-Life Product Return Decisions With Incentives:
Roman, Eduardo Perez 2010 Simulation and optimization models for scheduling multi-step sequential procedures in nuclear medicine:
Thomas, Barrett W. 2010 Dynamic vehicle routing:
van Hentenryck, Pascal; Bent, Russell; Upfal, Eli 2010 Online stochastic optimization under time constraints:
Agatz, Niels; Campbell, Ann; Fleischmann, Moritz; Savelsbergh, Martin 2011 Time slot management in attended home delivery:
Agatz, Niels; van Nunen, Jo 2011 Demand Management in Transportation and Logistics:
Amini, Shahrzad 2011 A novel PSO for solving the VRPTW with real case study:
Douma, Albert; Schuur, Peter; Jagerman, Rama 2011 Degrees of terminal cooperativeness and the efficiency of the barge handling process:
Lomme, Liesbeth 2011 incentive schemes in distribution logistics:
Nouaouri, Issam; Goncalves, Gilles; Jolly, Daniel 2011 A Hybrid Tabu Search for a Vehicle Routing Problem with Double Time Windows for the Depot and Multiple use of Vehicles: Case of Fuel Delivery
Sze, San Nah 2011 A study on multi-trip vehicle routing problem with time windows and meal break considerations:
Azi, Nabila; Gendreau, Michel; Potvin, Jean-Yves 2012 A dynamic vehicle routing problem with multiple delivery routes:
Colla, Enrico; Lapoule, Paul 2012 E-commerce: Exploring the critical success factors
Ehmke, Jan Fabian; Mattfeld, Dirk Christian 2012 Vehicle routing for attended home delivery in city logistics:
Ehmke, Jan Fabian; Steinert, André; Mattfeld, Dirk Christian 2012 Advanced routing for city logistics service providers based on time-dependent travel times:
Goebel, Philipp; Moeller, Sabine; Pibernik, Richard 2012 Paying for convenience: Attractiveness and revenue potential of time-based delivery services
Khoury, Sam 2012 Route activity tracking and management using available technology:
Turner, Jonathan P.; Lee, Soonhui; Daskin, Mark S.; Homem-de-Mello, Tito; Smilowitz, Karen 2012 Dynamic fleet scheduling with uncertain demand and customer flexibility:
Agatz, Niels; Campbell, Ann M.; Fleischmann, Moritz; van Nunen, Jo; Savelsbergh, Martin 2013 Revenue management opportunities for Internet retailers:
Čičková, Zuzana; Brezina, Ivan; Pekár, Juraj 2013 Solving the real-life vehicle routing problem with time windows using self organizing migrating algorithm:
Nowak, Maciek; Hewitt, Mike; Nataraj, Nisha 2013 Planning strategies for home health care delivery:
Pillac, Victor; Gendreau, Michel; Guéret, Christelle; Medaglia, Andrés L. 2013 A review of dynamic vehicle routing problems:
Rickli, Jeremy L. 2013 The Effect of Uncertain End-of-Life Product Quality and Consumer Incentives on Partial Disassembly Sequencing in Value Recovery Operations:
Spliet, Remy 2013 Vehicle routing with uncertain demand:
Xing, Yiting; Li, Ling; Bi, Zhuming; Wilamowska‐Korsak, Marzena; Zhang, Li 2013 Operations research (OR) in service industries: A comprehensive review
Acimovic, Jason; Graves, Stephen C. 2014 Making better fulfillment decisions on the fly in an online retail environment:
Azi, Nabila; Gendreau, Michel; Potvin, Jean-Yves 2014 An adaptive large neighborhood search for a vehicle routing problem with multiple routes:
Bouzidi, Sabri; Zhang, Yingqian; Ye, Qing Chuan 2014 Barge processing policies in container terminals: A multi-agent simulation study
Chaiwuttisak, Pornpimol; Smith, Honora; Wu, Yue; Potts, Chris 2014 Blood supply chain with insufficient supply: A case study of location and routing in Thailand
Cleophas, Catherine; Ehmke, Jan Fabian 2014 When Are Deliveries Profitable?:
Ehmke, Jan Fabian; Campbell, Ann Melissa 2014 Customer acceptance mechanisms for home deliveries in metropolitan areas:
Ehmke, Jan Fabian; Campbell, Ann Melissa; Thomas, Barrett W. 2014 Solution approaches for stochastic emissions-minimized paths in urban areas:
Herrel, Keith 2014 A visual interactive simulation application for minimizing risk and improving outbound logistical efficiency in time-sensitive attended home deliveries and services:
Kovacs, Attila A.; Golden, Bruce L.; Hartl, Richard F.; Parragh, Sophie N. 2014 Vehicle routing problems in which consistency considerations are important: A survey
Kratsch, Wolfgang 2014 Design von Anreizsystemen im Attended Home Delivery:
Nabot, Ahmad 2014 Effective, efficient and reliable postcode alternative system in the context of online shopping for solving the problem of home delivery service in Jordan:
Ruff, Volker 2014 Coordinated planning in revenue management:
Spliet, Remy; Gabor, Adriana F. 2014 The time window assignment vehicle routing problem:
van Duin, J. H.R.; Kortmann, R.; van den Boogaard, S. L. 2014 City logistics through the canals? A simulation study on freight waterborne transport in the inner-city of Amsterdam:
Wang, Xuping; Zhan, Linmin; Ruan, Junhu; Zhang, Jun 2014 How to choose “last mile” delivery modes for E-fulfillment:
Yang, Xinan; Strauss, Arne K.; Currie, Christine S. M.; Eglese, Richard 2014 Choice-based demand management and vehicle routing in e-fulfillment:
Banerjee, Amardeep; Siemens, Franziska 2015 Logistics of E-Groceries. de:
Ehmke, Jan Fabian; Campbell, Ann Melissa; Urban, Timothy L. 2015 Ensuring service levels in routing problems with time windows and stochastic travel times:
Groß, Patrick-Oliver; Ulmer, Marlin W.; Ehmke, Jan F.; Mattfeld, Dirk C. 2015 Exploiting travel time information for reliable routing in city logistics:
Kasemsap, Kijpokin 2015 The role of electronic commerce in the global business environments:
Kersten, Wolfgang; Blecker, Thorsten; Ringle, Christian M. 2015 Innovations and strategies for logistics and supply chains: Technologies, business models and risk management
Kratsch, Wolfgang 2015 Design von Anreizsystemen im Attended Home Delivery: Vorstellung mathematischer Modellformulierungen und anschließende Implementierung des Systems mit IBM ILOG und MS EXCEL
Leaver II, Donald Richard 2015 Business Strategies to Improve On-Time Deliveries and Profits in Southcentral Alaska:
Lin, Chin-Sen; Hsu, Chia-Lin; Chen, Mu-Chen 2015 Determinants of customer loyalty for home delivery:
Nuzzolo, A.; Comi, A.; Rosati, L. 2015 Reducing the impacts of e-purchase deliveries: The development of pick-up points
Pulido, Roberto; Muñoz, Juan Carlos; Gazmuri, Pedro 2015 A continuous approximation model for locating warehouses and designing physical and timely distribution strategies for home delivery:
Ramirez Bathen, Ana Beatriz 2015 Importance of supply chain and fulfillment operations in businesses that offer perishable food products online:
Spliet, Remy; Desaulniers, Guy 2015 The discrete time window assignment vehicle routing problem:
Torabi, S. A.; Hassini, E.; Jeihoonian, M. 2015 Fulfillment source allocation, inventory transshipment, and customer order transfer in e-tailing:
Torabi, S. A.; Hassini, E.; Jeihoonian, M. 2015 Transportation Research Part E:
van der Helm, Paul 2015 Competitiveness of Logistics Service Centers in the High Volume Parcel Delivery Market:
Brown, Jay R.; Bushuev, Maxim A.; Kretinin, Andrey A.; Guiffrida, Alfred L. 2016 Recent developments in green supply chain management: Sourcing and logistics
Bühler, Dominic; Klein, Robert; Neugebauer, Michael 2016 Model-based delivery cost approximation in attended home services:
Casazza, MARCO 2016 ALGORITHMS FOR OPTIMIZATION PROBLEMS WITH FRACTIONAL RESOURCES:
Casazza, MARCO; Ceselli, Alberto; Létocart, Lucas 2016 Optimizing time slot allocation in single operator home delivery problems:
Chen, Cheng-Chieh; Chen, Yu-Chieh 2016 Dynamic Programming Model for Attended Delivery Time Slot Management:
Ehmke, Jan Fabian; Campbell, Ann Melissa; Thomas, Barrett W. 2016 Data-driven approaches for emissions-minimized paths in urban areas:
Emeç, Uğur; Çatay, Bülent; Bozkaya, Burcin 2016 An adaptive large neighborhood search for an e-grocery delivery routing problem:
Ghajargar, Maliheh; Zenezini, Giovanni; Montanaro, Teodoro 2016 Home delivery services: Innovations and emerging needs
Groß, Patrick-Oliver; Geisinger, Michael; Ehmke, Jan Fabian; Mattfeld, Dirk Christian 2016 Interval travel times for more reliable routing in city logistics:
Hewitt, Mike; Nowak, Maciek; Nataraj, Nisha 2016 Planning Strategies for Home Health Care Delivery:
Hübner, Alexander; Kuhn, Heinrich; Wollenburg, Johannes 2016 Last mile fulfilment and distribution in omni-channel grocery retailing: A strategic planning framework
IEEE 2016 Electrical, Electronics, Computer Engineering and their Applications (EECEA), 2016 Third International Conference on:
Jeanpert, Sophie; Paché, Gilles 2016 Integration process in multichannel management: From consumer decisions to supply chain strategy
Kasemsap, Kijpokin 2016 Implementing electronic commerce in global marketing:
Klapp Belmar, Mathias A. 2016 Dynamic optimization for same-day delivery operations:
Klein, Robert; Mackert, Jochen; Neugebauer, Michael; Steinhardt, Claudius 2016 On the approximation of opportunity cost for dynamic pricing in attended home delivery:
Koorevaar, Sander; Veelenturf, L. P.; van Woensel, T. 2016 Efficiency improvements in driver dispatching for dynamic PDPs:
Lei, Yanzhe; Jasin, Stefanus 2016 Real-time dynamic pricing for revenue management with reusable resources and deterministic service time requirements:
LUCIA, STEFANO de 2016 Home delivery su appuntamento nell'eCommerce B2c: Sviluppo di un modello per la quantificazione dei costi
Malas, Anas; El Falou, Mohamad; El Falou, Salah; Itmi, Mhamed; Cardon, Alain 2016 Multi-agent approach for on-demand transport problem in a city:
Nabot, Ahmad; Omar, Firas 2016 Comparative Study of the Impacts of Conventional and Online Retailing on the Environment: A Last Mile Perspective
Nguyen, Dung H.; Leeuw, Sander; Dullaert, Wout E. H. 2016 Consumer Behaviour and Order Fulfilment in Online Retailing: A Systematic Review
Pan, Shenle; Han, Yufei; Qiao, Bin; Grover-Silva, Etta; Giannikas, Vaggelis 2016 Mining Customer-related Data to Enhance Home Delivery in E-commerce: An experimental study
Psaraftis, Harilaos N.; Wen, Min; Kontovas, Christos A. 2016 Dynamic vehicle routing problems: Three decades and counting
Rincon Garcia, Nicolas 2016 Freight transport, routing software and time-dependent vehicle routing models:
Rodríguez-García, M.; Domínguez-Caamaño, P.; Prado-Prado, J. C. 2016 La Nueva Cadena de Suministro en la Era de los E-Retailers: Una Revisión Bibliográfica Actualizada
Ruan, Junhu; Shi, Yan 2016 Monitoring and assessing fruit freshness in IOT-based e-commerce delivery using scenario analysis and interval number approaches:
Savisaari, Anna 2016 Supply chain effects in creation of omnichannel customer experience in grocery retail:
Song, Byung Duk; Ko, Young Dae 2016 A vehicle routing problem of both refrigerated-and general-type vehicles for perishable food products delivery:
Taniguchi, Eiichi; Thompson, Russell G.; Yamada, Tadashi 2016 New opportunities and challenges for city logistics:
Taylor & Francis 2016 Supply Chain Forum: An International Journal:
Ulmer, Marlin W. 2016 Anticipation vs. reoptimization for dynamic vehicle routing with stochastic requests:
Ulmer, Marlin W.; Thomas, Barrett W.; Mattfeld, Dirk C. 2016 Preemptive depot returns for a dynamic same-day delivery problem:
van de Vrugt, Noëlle Maria 2016 Efficient healthcare logistics with a human touch:
van Duin, J. H.R.; Goffau, W. de; Wiegmans, B.; La Tavasszy; Saes, M. 2016 Improving home delivery efficiency by using principles of address intelligence for B2C deliveries:
Yang, Xinan; Vernitski, Alexei; Carrea, Laura 2016 An approximate dynamic programming approach for improving accuracy of lossy data compression by Bloom filters:
Zhang, Shuzhu 2016 Modeling green logistics activities for sustainable development using swarm intelligence:
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Fortini, Veronica 2017 Fast logistics in the B2C eCommerce: A global overview
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Guo, Xiaolong; Li, Ben; Liu, Yan; Liang, Liang 2017 Eliminating the Inconvenience of Carrying: Optimal Pricing of Delivery Service for Retailers
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Klein, Robert; Mackert, Jochen; Neugebauer, Michael; Steinhardt, Claudius 2017 A model-based approximation of opportunity cost for dynamic pricing in attended home delivery:
Klein, Robert; Neugebauer, Michael; Ratkovitch, Dimitri; Steinhardt, Claudius 2017 Differentiated time slot pricing under routing considerations in attended home delivery:
Liu, Ling; Li, Kunpeng; Liu, Zhixue 2017 A capacitated vehicle routing problem with order available time in e-commerce industry:
Soeffker, Ninja; Ulmer, Marlin W.; Mattfeld, Dirk C. 2017 On Fairness Aspects of Customer Acceptance Mechanisms in Dynamic Vehicle Routing:
Subramanyam, Anirudh; Gounaris, Chrysanthos E. 2017 Strategic Allocation of Time Windows in Vehicle Routing Problems under Uncertainty:
Ulmer, Marlin W. 2017 Delivery deadlines for same-day delivery:
Ulmer, Marlin W. 2017 Dynamic pricing for same-day delivery routing:
Ulmer, Marlin W.; Thomas, Barrett W. 2017 Enough waiting for the cable guy-estimating arrival times for service vehicle routing:
Ulmer, Marlin W.; Thomas, Barrett W. 2017 Meso-parametric value function approximation for dynamic customer acceptances in delivery routing:
Ulmer, Marlin Wolf 2017 Approximate Dynamic Programming for Dynamic Vehicle Routing:
Vareias, Anastasios D.; Repoussis, Panagiotis P.; Tarantilis, Christos D. 2017 Assessing Customer Service Reliability in Route Planning with Self-Imposed Time Windows and Stochastic Travel Times:
Voccia, Stacy A.; Melissa Campbell, Ann; Thomas, Barrett W. 2017 The same-day delivery problem for online purchases:
Wenzel, Sigrid; Peter, Tim 2017 Comparing Different Distance Metrics for Calculating Distances in Urban Areas with a Supply Chain Simulation Tool:
Yang, Xinan; Strauss, Arne K. 2017 An approximate dynamic programming approach to attended home delivery management:
Hungerländer, Philipp; Maier, Kerstin; Pöcher, Jörg; Rendl, Andrea; Truden, Christian 2018 Solving an on-line capacitated vehicle routing problem with structured time windows:
Jin, Ming; Li, Gang; Cheng, T. C.E. 2018 Buy online and pick up in-store: Design of the service area
Köhler, Charlotte; Lang, Magdalena A. K.; Cleophas, Catherine; Ehmke, Jan Fabian 2018 Integrated Planning of Order Capture and Delivery for Attended Deliveries in Metropolitan Areas:
Melacini, Marco; Tappia, Elena 2018 A Critical Comparison of Alternative Distribution Configurations in Omni-Channel Retailing in Terms of Cost and Greenhouse Gas Emissions:
Ni, Ming 2018 Transportation Analytics and Last-mile Same-day Delivery with Local Store Fulfillment:
Yuen, Kum Fai; Wang, Xueqin; Ng, Li Ting Wendy; Wong, Yiik Diew 2018 An investigation of customers’ intention to use self-collection services for last-mile delivery:
Finland, Olli Vehicle routing methodologies to support costing and pricing decisions:
Lim, Stanley Frederick WT; Jin, Xin; Srai, Jagjit Singh LAST-MILE LOGISTICS STRUCTURES: A LITERATURE REVIEW AND DESIGN GUIDELINE