DocumentCode
237628
Title
Flexibility analysis on a supply chain contract using a parametric Linear Programming model
Author
Chengbin Chu ; Longomo, Eric E. ; Xiang Song ; Ouelhaj, Djamila
Author_Institution
Lab. Genie Industriel, Ecole Centrale Paris, Paris, France
fYear
2014
fDate
18-22 Aug. 2014
Firstpage
704
Lastpage
709
Abstract
This research paper builds on existing knowledge in the field of parametric Linear Programming (pLP) and proposes a continuous mathematical model that considers a multi-period Quantity Flexibility (QF) contract between a car manufacturer (buyer) and external parts supplying company. The supplier periodically delivers parts to the car manufacturer as agreed in the contract. Due to the uncertainty of the demand for parts, the car manufacturer -in concert with the supplier-aims to develop a policy -at strategic level, that determines the optimal nominal order quantity (Q) and variation rate (β) underpinning the contract that ensures the actual order quantity satisfies the actual demand and the total cost is minimised over the contract length. The behaviour of the mathematical model has been examined in order to establish its feasibility and convexity, consequently guaranteeing an optimal solution. Simulations have been carried out to evaluate the relationship of the total cost with respect to the variation rate and the nominal quantity ordered.
Keywords
contracts; linear programming; supply chain management; supply chains; QF contract; actual order quantity; car manufacturer; continuous mathematical model; contract length; convexity; external parts supplying company; flexibility analysis; multiperiod quantity flexibility contract; optimal nominal order quantity; optimal solution; parametric linear programming model; strategic level; supply chain contract; underpinning; variation rate; Contracts; Convex functions; Industries; Linear programming; Mathematical model; Optimization; Vectors; contracting; multi-period; parametric linear programming; quantity flexibility;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Science and Engineering (CASE), 2014 IEEE International Conference on
Conference_Location
Taipei
Type
conf
DOI
10.1109/CoASE.2014.6899405
Filename
6899405
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