Enhancing supply chain decisions using constraint programming: a case study

Authors:
Luiz C. A. Rodrigues;Leandro Magatão
Affiliations:
Federal University of Technology-Paraná, Mechanical Engineering Department, Curitiba, PR, Brazil;Federal University of Technology-Paraná, Mechanical Engineering Department, Curitiba, PR, Brazil
Venue:
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Year:
2007

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Abstract

A new approach is proposed to tackle integrated decision making associated to supply chains. This procedure enables reliable decisions concerning the set of order demands along a supply chain. This is accomplished by means of supply chain scheduling simulations, based on the use of Constraint Programming. The definition of time windows for all tasks poses as an indication that no infeasibility was found during supply chain analysis. Scheduling of orders along the supply chain is treated as a constraint satisfaction problem. It suffices to identify any feasible schedule to state that simulated decisions are acceptable. The main contribution of this work is the integration of Constraint Programming concepts within a decision-support system to support supply chain decisions.