NDLI: A Hybrid Path-Relinking Method for Solving a Stochastic Lot Sizing and Scheduling Problem

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A Hybrid Path-Relinking Method for Solving a Stochastic Lot Sizing and Scheduling Problem

Content Provider	Semantic Scholar
Author	Amorim, Pedro Costa, A. M. Almada-Lobo, Bernardo
Copyright Year	2012
Abstract	Path-relinking has been used to help solving deterministic problems by exploring the neighbourhood of elite solutions in an intelligent way. In this paper, we present an algorithm that combines a mixed-integer linear solver with a truncated path-relinking method in order to solve a stochastic lot sizing and scheduling problem dealing with perishable products. This supply chain planning problem may be seen as a two-stage stochastic integer problem with complete recourse and first stage integer variables. In the first stage the decision maker decides about the production sequence and the production quantities. Afterwards, the uncertain demand is unveiled and the second stage decisions concerned about inventory usage are taken. The key idea of this method is to take advantage of the possible scenario-based decomposition in an innovative way, which can be generalized to problems with a similar structure. Therefore, path-relinking is used to combine optimised solutions from different scenarios in pursuing good stochastic solutions. Computational results show a clear advantage of the proposed method in solving this stochastic problem when compared to a state-of-the-art mixed-integer solver, especially for the medium and larger instances.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.ms.unimelb.edu.au/~acosta@unimelb/articles/conf-amorim12hybrid.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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