Interaction between intelligent agent strategies for real-time transportation planning

In this paper we study the real-time scheduling of time-sensitive full truckload pickup-and-delivery jobs. The problem involves the allocation of jobs to a fixed set of vehicles which might belong to different collaborating transportation agencies. A recently proposed solution methodology for this problem is the use of a multi-agent system where shipper agents offer jobs through sequential auctions and vehicle agents bid on these jobs. In this paper we consider such a system where both the vehicle agents and the shipper agents are using profit maximizing look-ahead strategies. Our main contribution is that we study the interrelation of these strategies and their impact on the system-wide logistical costs. From our simulation results, we conclude that the system-wide logistical costs (i) are always reduced by using the look-ahead strategies instead of a myopic strategy (10–20%) and (ii) the joint effect of two look-ahead strategies is larger than the effect of an individual strategy. To provide an indication of the savings that might be realized under centralized decision making, we benchmark our results against an integer programming approach.

[1]  Axel Tuma,et al.  Multi-agent-based transport planning in the newspaper industry , 2011 .

[2]  Hani S. Mahmassani,et al.  Framework for Study of Carrier Strategies in Auction-Based Transportation Marketplace , 2003 .

[3]  Christian Bierwirth,et al.  Solutions to the request reassignment problem in collaborative carrier networks , 2010 .

[4]  Martin W. P. Savelsbergh,et al.  Shipper collaboration , 2007, Comput. Oper. Res..

[5]  Martin W. P. Savelsbergh,et al.  Efficient Insertion Heuristics for Vehicle Routing and Scheduling Problems , 2004, Transp. Sci..

[6]  Jian Yang,et al.  Real-Time Multivehicle Truckload Pickup and Delivery Problems , 2004, Transp. Sci..

[7]  Martijn Mes,et al.  Comparison of agent-based scheduling to look-ahead heuristics for real-time transportation problems , 2007, Eur. J. Oper. Res..

[8]  Amelia C. Regan,et al.  An Auction Based Collaborative Carrier Network , 2003 .

[9]  P. C. Schuur,et al.  Look-ahead strategies for dynamic pickup and delivery problems , 2010, OR Spectr..

[10]  Hartmut Stadtler,et al.  Negotiation-based collaborative planning between supply chains partners , 2005, Eur. J. Oper. Res..

[11]  Jürgen Branke,et al.  Waiting Strategies for Dynamic Vehicle Routing , 2005, Transp. Sci..

[12]  Roger B. Myerson,et al.  Optimal Auction Design , 1981, Math. Oper. Res..

[13]  Marius M. Solomon,et al.  The A Priori Dynamic Traveling Salesman Problem with Time Windows , 2004, Transp. Sci..

[14]  Özlem Ergun,et al.  Allocating Costs in a Collaborative Transportation Procurement Network , 2008, Transp. Sci..

[15]  A. Regan,et al.  Approximation Algorithms for the Bid Construction Problem in Combinatorial Auctions for the Procurement of Freight Transportation Contracts , 2003 .

[16]  Tuomas Sandholm,et al.  An Implementation of the Contract Net Protocol Based on Marginal Cost Calculations , 1993, AAAI.

[17]  Jörn Schönberger.  Operational Freight Carrier Planning: Basic Concepts, Optimization Models and Advanced Memetic Algorithms , 2005 .

[18]  Zhong Ma,et al.  A Carrier's Optimal Bid Generation Problem in Combinatorial Auctions for Transportation Procurement , 2007 .

[19]  Bo Chen,et al.  A Review of the Applications of Agent Technology in Traffic and Transportation Systems , 2010, IEEE Transactions on Intelligent Transportation Systems.

[20]  Bo Dai,et al.  A multi-agent and auction-based framework and approach for carrier collaboration , 2011, Logist. Res..

[21]  Christof Weinhardt,et al.  Elektronische Märkte für die dezentrale Transportplanung , 1997, Wirtsch..

[22]  Hartmut Stadtler,et al.  A collaborative planning approach for intermodal freight transportation , 2010, OR Spectr..

[23]  Marc Salomon,et al.  Empirical Study: Order Sharing between Transportation Companies May Result in Cost Reductions between 5 to 15 Percent , 2004 .

[24]  Michel Gendreau,et al.  Exploiting Knowledge About Future Demands for Real-Time Vehicle Dispatching , 2006, Transp. Sci..

[25]  Giselher Pankratz,et al.  Das Groupage-Problem kooperierender Verkehrsträger , 1999 .

[26]  Martijn R.K. Mes,et al.  Dynamic threshold policy for delaying and breaking commitments in transportation auctions , 2009 .

[27]  Herbert Kopfer,et al.  Collaborating freight forwarding enterprises , 2006, OR Spectr..

[28]  Gilbert Laporte,et al.  Waiting strategies for the dynamic pickup and delivery problem with time windows , 2004 .

[29]  Victor R. Lesser,et al.  Leveled Commitment Contracts and Strategic Breach , 2001, Games Econ. Behav..

[30]  R. McAfee,et al.  Auctions and Bidding , 1986 .

[31]  Gerhard Weiss,et al.  Multiagent Systems , 1999 .

[32]  Gilbert Laporte,et al.  Horizontal cooperation among freight carriers: request allocation and profit sharing , 2008, J. Oper. Res. Soc..

[33]  Han La Poutré,et al.  A Decommitment Strategy in a Competitive Multi-agent Transportation Setting , 2003, AMEC.

[34]  Ulrich Derigs,et al.  Cooperative planning in express carrier networks - An empirical study on the effectiveness of a real-time Decision Support System , 2011, Decis. Support Syst..

[35]  Xiao Liu,et al.  Two-phase heuristic algorithms for full truckloads multi-depot capacitated vehicle routing problem in carrier collaboration , 2010, Comput. Oper. Res..

[36]  Martin Berger,et al.  Multicriteria decentralized decision making in logistic chains: a dynamic programming approach for collaborative forwarding of air cargo freight , 2011, Logist. Res..

[37]  Roberto Musmanno,et al.  Real-time vehicle routing: Solution concepts, algorithms and parallel computing strategies , 2003, Eur. J. Oper. Res..

[38]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[39]  Martin W. P. Savelsbergh,et al.  Reducing Truckload Transportation Costs Through Collaboration , 2007, Transp. Sci..

[40]  Hartmut Stadtler,et al.  A framework for collaborative planning and state-of-the-art , 2009, OR Spectr..

[41]  Michael Luck,et al.  Crossing the agent technology chasm: Lessons, experiences and challenges in commercial applications of agents , 2006, The Knowledge Engineering Review.

[42]  Barrett W. Thomas.  Waiting Strategies for Anticipating Service Requests from Known Customer Locations , 2007, Transp. Sci..

[43]  William Vickrey,et al.  Counterspeculation, Auctions, And Competitive Sealed Tenders , 1961 .

[44]  Paul Davidsson,et al.  An Analysis of Agent-Based Approaches to Transport Logistics , 2005 .

[45]  Jörg P. Müller,et al.  COOPERATIVE TRANSPORTATION SCHEDULING : AN APPLICATION DOMAIN FOR DAI , 1996 .

[46]  Ira Rudowsky,et al.  Intelligent Agents , 2004, Commun. Assoc. Inf. Syst..

[47]  Michael Schwind,et al.  A combinatorial intra-enterprise exchange for logistics services , 2009, Inf. Syst. E Bus. Manag..

[48]  Michael Hülsmann,et al.  Collaborative Transportation Planning in Complex Adaptive Logistics Systems: A Complexity Science-Based Analysis of Decision-Making Problems of "Groupage Systems" , 2009, Complex.

[49]  Jos van Hillegersberg,et al.  Design choices for agent-based control of AGVs in the dough making process , 2008, Decis. Support Syst..