Sequential auctions for full truckload allocation

Mes, Martijn

doi:10.3990/1.9789036526296

Cited by 5 publications

(11 citation statements)

References 113 publications

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“…The previous studies relevant to ours are Mes and Van der Heijden [20], Mes [21], Wellman et al [30], and Walsh and Wellman [28]. Compared with sequential auctions for truckload pickup and delivery jobs proposed in Mes and Van der Heijden [20] and Mes [21], our proposed auction is not sequential but asynchronous.…”

Section: Auctions In Transportationmentioning

confidence: 79%

“…Compared with sequential auctions for truckload pickup and delivery jobs proposed in Mes and Van der Heijden [20] and Mes [21], our proposed auction is not sequential but asynchronous. In our auction, each agent (carrier) may engage in multiple auctions at the same time.…”

Section: Auctions In Transportationmentioning

confidence: 98%

“…The idea of breaking commitments is that the shipper allows the carriers to break commitments against certain penalties. In this way, the pricing and scheduling decisions of carriers can take into account both the direct costs of jobs and their impact on future opportunities [21].…”

Section: Multi-agent Systems In Transportationmentioning

confidence: 99%

“…For the application of MAS in collaborative logistics, Mes and Van der Heijden [20] and Mes [21] used a multiagent system to model a transportation marketplace, where shippers offer time-sensitive full truckload pickup and delivery jobs through sequential auctions and carriers compete with each other to service these jobs. To cope with the interdependencies among jobs, they used reserve prices and decommitment penalties and proposed two strategies for shippers to maximize their revenue in sequential auctions, namely delaying and breaking commitments.…”

Section: Multi-agent Systems In Transportationmentioning

confidence: 99%

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A multi-agent and auction-based framework and approach for carrier collaboration

Dai

Chen

2011

Logist. Res.

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Carrier collaboration in transportation means multiple carriers form an alliance to optimize their transportation operations through sharing transportation requests and vehicle capacities. In this paper, we propose a multi-agent and auction-based framework and approach for carrier collaboration in less than truckload transportation. In this framework, the carriers outsource/acquire requests through multiple auctions, one for outsourcing each request; a carrier acts as an auctioneer when it wants to outsource a request to other carriers, whereas the carrier acts as a bidder when it wants to acquire a request from other carriers; for each carrier, which requests it should outsource and acquire are determined by solving its outsourcing requests selection problem and requests bidding problem, respectively. These two decision problems are formulated as mixed integer programming problems. The auction of each request is multiround; in each round, the auctioneer determines the outsourcing price of the request and each bidder determines whether it acquires the request at the given price; the auctioneer lowers the outsourcing price if multiple carriers bid for the request or raises the price if no carrier bids for it. The auction process continues until only one carrier bids for the request or a given number of rounds are achieved. In the second case, if no agent bids for the request, then it is returned to the outsourcing agent; if multiple bidding agents compete for the request, a conflict resolution procedure is used to determine which carrier wins it. The approach is decentralized, asynchronous, and dynamic, where multiple auctions may occur simultaneously and interact with each other. The performance of the approach is evaluated by randomly generated instances and compared with an individual planning approach and a centralized planning approach.

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Section: Auctions In Transportationmentioning

confidence: 79%

Section: Auctions In Transportationmentioning

confidence: 98%

Section: Multi-agent Systems In Transportationmentioning

confidence: 99%

Section: Multi-agent Systems In Transportationmentioning

confidence: 99%

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A multi-agent and auction-based framework and approach for carrier collaboration

Dai

Chen

2011

Logist. Res.

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“…Usually, the additional costs needed to serve a request is used as a bid [6], and to minimize overall costs, the request is assigned to the vehicle that has announced hal-00614584, version 1 -12 Aug 2011 the bid with the lowest additional costs. In our work, we let the companies compete on the QoS for an incoming request.…”

Section: Bidding Service Qualitymentioning

confidence: 99%

Impact of Competition on Quality of Service in Demand Responsive Transit

Grootenboers¹,

Weerdt²,

Zargayouna

2010

Multiagent System Technologies

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Abstract. Demand responsive transportation has the potential to provide efficient public door-to-door transport with a high quality. In currently implemented systems in the Netherlands, however, we observe a decrease in the quality of service (QoS), expressed in longer travel times for the customers. Currently, generally one transport company is responsible for transporting all customers located in a specified geographic zone. In general it is known that when multiple companies compete on costs, the price for customers decreases. In this paper, we investigate whether a similar result can be achieved when competing on quality instead. To arrive at some first conclusions, we set up a multiagent environment to simulate the assignment of rides to companies through an auction on QoS, and the insertion of allocated rides in the companies' schedules using online optimization. Our results reveal that this set-up improves the quality of the service offered to the customers at moderately higher costs.

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Review of Full Truckload Transportation Service Procurement

Basu¹,

Subramanian

Cheikhrouhou

2015

Transport Reviews

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This study was conducted to review the literature on full truckload (FTL) transportation service procurement and to identify the gaps from the perspectives of researchers and practitioners. FTL procurement in particular was reviewed because it is encountered more than others forms of procurement in freight movement, and it involves numerous challenges. A framework was developed to provide a systematic review of the literature, the findings of which are discussed in detail. Some key findings include the simplistic assumption of demand patterns, limited focus on non-price variables, a limited number of case studies, less consideration of sustainability aspects, and a lack of detailed studies on emerging economies.

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Sequential auctions for full truckload allocation

Cited by 5 publications

References 113 publications

A multi-agent and auction-based framework and approach for carrier collaboration

A multi-agent and auction-based framework and approach for carrier collaboration

Impact of Competition on Quality of Service in Demand Responsive Transit

Review of Full Truckload Transportation Service Procurement

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