Measuring and rewarding flexibility in collaborative distribution, including two-partner coalitions
AbstractHorizontal collaboration among shippers is gaining traction as a way to increase logistic efficiency. The total distribution cost of a logistic coalition is generally between 9% and 30% lower than the sum of costs of each partner distributing separately. However, the coalition gain is highly dependent on the flexibility that each partner allows in its delivery terms. Flexible delivery dates, flexible order sizes, order splitting rules, etc., allow the coalition to exploit more opportunities for optimization and create better and cheaper distribution plans. An important challenge in a logistic coalition is the division (or sharing) of the coalition gain. Several methods have been proposed for this purpose, often stemming from the eld of game theory. This paper states that an adequate gain sharing method should not only be fair, but should also reward exibility in order to persuade companies to relax their delivery terms. Methods that limit the criteria for cost allocation to the marginal costs and the values of the subcoalitions are found to be able to generate adequate incentives for companies to adopt a flexible position. In a coalition of two partners however, we show that these methods are not able to correctly evaluate an asymmetric effort to be more exible. For this situation, we suggest an alternative approach to better measure and reward the value of flexibility.
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Bibliographic InfoPaper provided by University of Antwerp, Faculty of Applied Economics in its series Working Papers with number 2013017.
Length: 26 pages
Date of creation: Aug 2013
Date of revision:
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Web page: https://www.uantwerp.be/en/faculties/applied-economic-sciences/
More information through EDIRC
Logistics; Game Theory; Shapley value; Nucleolus; Collaboration;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-09-06 (All new papers)
- NEP-CDM-2013-09-06 (Collective Decision-Making)
- NEP-GTH-2013-09-06 (Game Theory)
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