Information Systems and e-Business Management

, Volume 7, Issue 4, pp 447–471

A combinatorial intra-enterprise exchange for logistics services

Original Article
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Abstract

The exchange of cargo capacities is a well established approach in logistics. However, only few logistics marketplaces are able to take into consideration synergies that can be generated by combining different transportation routes of different logistics carrierps. In order to exploit these synergies, we designed and implemented the combinatorial exchange mechanism ComEx for the intra-enterprise exchange of delivery orders in a logistics company organized in a profit center structure. Each profit center is able to release delivery orders to an adjacent profit center if the geographic locations of the customers allow for a reduced-cost delivery by the adjacent profit center. We demonstrate that by using the ComEx mechanism, the total cost of transportation of our logistics company can be reduced by up to 14%. Since our iterative auction mechanism is very complex and therefore resource-intensive, we reduce the complexity by applying a convex hull approach combined with a distance-based cost estimator.

Keywords

Collaboration in logistics Combinatorial exchange Route optimization Electronic marketplace Vehicle routing problems with time windows 

References

  1. An N, Elmaghraby W, Keskinocak P (2005) Bidding strategies and their impact on revenues in combinatorial auctions. J Revenue Pricing Manag 3(4):337–357CrossRefGoogle Scholar
  2. Bullnheimer B, Hartl R, Strauss C (1999) An improved ant system algorithm for the vehicle routing problem. Ann Oper Res 89:319–328CrossRefGoogle Scholar
  3. Cantillon E, Pesendorfer M (2005) Auctioning bus routes: the London experience. In: Steinberg R, Shoham Y, Cramton P (eds) Combinatorial auctions, chap 22. MIT Press, Massachusetts, pp 573–571Google Scholar
  4. Caplice C (1996) An optimization based bidding process: a new framework for shipper-carrierrelationships. PhD thesis, MIT Press, MassachusettsGoogle Scholar
  5. Caplice C, Sheffi Y (2003) Optimization-based procurement for transportation services. J Bus Logist 24(2):109–128Google Scholar
  6. Cramton P, Shoham Y, Steinberg R (2006) Combinatorial auctions: Introduction. In: Steinberg R, Shoham Y, Cramton P (eds) Combinatorial auctions. MIT Press, Massachusetts, pp 1–13Google Scholar
  7. Cruijssen F, Brysy O, Dullaert W, Fleuren H, Salomon M (2007a) Joint route planning under varying market conditions. Int J Phys Distrib Logist Manag 37(4):287–304CrossRefGoogle Scholar
  8. Cruijssen F, Cools K, Dullaert W, Fleuren H (2007b) Horizontal cooperation in logistics: opportunities and impediments. Transp Res Part E Logist Transp Rev 43(2):129–142CrossRefGoogle Scholar
  9. Elmaghraby W, Keskinocak P (2005) Combinatorial auctions in procurement. In: Harrison TP, Lee HL, Neale JJ (eds) The practice of supply chain management: where theory and application converge. Springer, Berlin, pp 245–258Google Scholar
  10. Ergun O, Kuyzu G, Savelsbergh MWP (2007a) Bid price optimization for simultaneous truckload transportation procurement auctions. Technical report on Stewart School of Industrial Engineering, Georgia Institute of Technology, AtlantaGoogle Scholar
  11. Ergun O, Kuyzu G, Savelsbergh MWP (2007b) Reducing truckload transportation costs through collaboration. Transp Sci 41(2):206–221CrossRefGoogle Scholar
  12. Ergun O, Kuyzu G, Savelsbergh MWP (2007c) Shipper collaboration. Comput Oper Res 34(6):1551–1560CrossRefGoogle Scholar
  13. Glover F (1986) Future paths for integer programming and links to artificial intelligence. Comput Oper Res 13(5):533–549CrossRefGoogle Scholar
  14. Goel A, Gruhn V (2007) A general vehicle routing problem. Eur J Oper Res 191:650–660Google Scholar
  15. Gomber P, Schmidt C, Weinhardt C (1999) Auctions in electronic commerce: efficiency versus computational tractability. In: Proceedings of the international conference on electronic commerce 98, Seoul, pp 43–48Google Scholar
  16. Gujo O, Schwind M (2007) Comex: combinatorial auctions for the intra-enterprise exchange of logistics services. In: Proceedings of the 9th international conference on enterprise information systems. Funchal, Madeira, PortugalGoogle Scholar
  17. Gujo O, Schwind M, Vykoukal J (2007) The design of incentives in a combinatorial exchange for intra-enterprise logistic services. In: Proceedings of the 9th international IEEE conference on E-Commerce technology (CEC’07), IEEE Comp Society, Tokyo, pp 443–446Google Scholar
  18. Houghtalen LM (2007) Designing allocation mechanisms for carrier alliances. Phd thesis, School of Industrial and Systems Engineering, Georgia Institute of Technology, AtlantaGoogle Scholar
  19. Krajewska MA, Kopfer H (2006) Collaborating freight forwarding enterprises. OR Spectr 28(3):301–436CrossRefGoogle Scholar
  20. Krajewska MA, Kopfer H, Laporte G, Ropke S, Zaccour G (2008) Horizontal cooperation of freight carriers: Request allocation and profit sharing. J Oper Res Soc (in press)Google Scholar
  21. Kruskal JB (1956) On the shortest spanning subtree of a graph and the traveling salesman problem. Proc Am Math Soc 7:48–50CrossRefGoogle Scholar
  22. Li H, Lim A (2003) Local search with annealing-like restarts to solve the VRPTW. Eur J Oper Res 150:115–127CrossRefGoogle Scholar
  23. Nowak M, Ergun O, White CC (2008) Pickup and delivery with split loads. Transp Sci 42(1):32–43CrossRefGoogle Scholar
  24. Özener O, Ergun O (2008) Allocating costs in a collaborative transportation procurement network. Transp Sci (in press)Google Scholar
  25. Parkes DC, Kalagnanam J, Eso M (2001) Achieving budget-balance with vickrey-based payment schemes in combinatorial exchanges. In: Proceedigns of the 17th international joint conference on artificial intelligenceGoogle Scholar
  26. Quariguasi JFN, Bloemhof-Ruwaard JM, van Nunen J, van Heck H (2006) Designing and evaluating sustainable logistics networks. Int J Prod Econ 111(2):195–208Google Scholar
  27. Regan A, Song J (2003) An auction based collaborative carrier network. Technical report: UCI-ITS-WP-03-6, Institute of Transportation Studies, University of California, IrvineGoogle Scholar
  28. Savelsbergh MWP, Sol M (1995) The general pickup and delivery problem. Transp Sci 29:17–29CrossRefGoogle Scholar
  29. Schwind M (2005) Design of combinatorial auctions for allocation and procurement processes. In: Proceedings of the 7th international IEEE conference on E-Commerce technology (CEC’05), IEEE Comp Society, München, pp 391–395Google Scholar
  30. Schwind M, Stockheim T, Rothlauf F (2003) Optimization heuristics for the combinatorial auction problem. In: Proceedings of the congress on evolutionary computation (CEC 2003), pp 1588–1595Google Scholar
  31. Schwind M, Gujo O, Stockheim T (2006) Dynamic resource prices in a combinatorial grid system. In: Proceedigns of the 8th international IEEE Conference on E-Commerce technology (CEC’06), San Francisco, CA, IEEE Comp Society, pp 49–53Google Scholar
  32. Slikker M, Fransoo J, Wouters M (2005) Cooperation between multiple news-vendors with transshipments. Eur J Oper Res 167:370–380CrossRefGoogle Scholar
  33. Song J, Regan A (2001) Transition or transformation? Emerging freight transportation intermediaries. Transp Res Rec 1763(1):1–5CrossRefGoogle Scholar
  34. Stockheim T, Schwind M (2004) Agent-based scheduling in supply chain management. In: Proc of the Sec European Workshop on Multi-Agent Systems (EUMAS 2004), Barcelona, SpainGoogle Scholar
  35. Vries SD, Vohra R (2001) Combinatorial auctions: a survey. INFORMS J Comput 15(3):284–309CrossRefGoogle Scholar
  36. Wendt O (1995) Tourenplanung durch den Einsatz naturanaloger Verfahren: Integration von genetischen Algorithmen und Simulated Annealing. Gabler Verlag, Wiesbaden, GermanyGoogle Scholar
  37. Wendt O, Stockheim T, Weiss K (2005) Intelligente Tourenplanung mit DynaRoute. Wirtsch 47(2):135–140Google Scholar
  38. Wendt O, König W, Stockheim T, Lanninger V, Weiss K (2006) Transportplanung der Zukunft - Prozess- und Kostenanalyse, Optimierungspotenziale und Outsourcing. Books on Demand, Norderstedt, GermanyGoogle Scholar
  39. Xiao F, Yang H (2006) Three-player game-theoretic model over a freight transportation network. Transp Res Part C Emerg Technol 15(4):209–21CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  1. 1.Chair of Business Information Systems and Operations ResearchTechnical University KaiserslauternKaiserslauternGermany
  2. 2.Chair of Business Administration, esp. Information SystemsFrankfurt UniversityFrankfurtGermany

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