Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24980
Title: Decentralised planning coordination with quantity discount contract in a divergent supply chain
Authors: Ogier, M
Cung, VD
Boissiere, J
Chung, SH
Keywords: coordination mechanism
decentralised supply chain
lot-sizing
planning
quantity discount
Issue Date: 2013
Publisher: Taylor & Francis Ltd
Source: International journal of production research, 2013, v. 51, no. 9, p. 2776-2789 How to cite?
Journal: International Journal of Production Research 
Abstract: This paper proposes to solve a supply chain planning problem with realistic features. The problem consists of planning productions, transportations and storage activities in a supply chain at a tactical level on a finite horizon. The main features considered are decentralised decision making and iteration of the planning process on a rolling horizon basis. In each planning process, the actors optimise their local planning and coordinate to achieve a good overall planning. A multi-agent system is used to model such supply chain behaviour. The study is conducted in a divergent two-echelon supply chain with one manufacturer and multiple independent retailers. Coordination is achieved using a standard contract in practice, known as the quantity discount contract. The planning framework on the supply chain structure is detailed. Lot-sizing models integrating the quantity discount are presented for the local planning problems. Experimental tests are conducted with three major parameters: quantity discount price, quantity discount breakpoint and rolling horizon length. They are used to determine the quantity discount parameters in achieving the best supply chain profit, and to analyse the increasing profit of the actors. A decision-making tool which is able to consider realistic features of supply chain planning is therefore resulted.
URI: http://hdl.handle.net/10397/24980
ISSN: 0020-7543
DOI: 10.1080/00207543.2012.737951
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