A supply chain production scheduling with deterioration and release date. (1st January 2013)

• Record Type: Journal Article
• Authors: Teimoury, Ebrahim; Haddad, Hamidreza
• Is Part Of: International journal of rapid manufacturing. Volume 3:Number 4(2013)
• Page Start: 195
• Page End: 208
• Publication Date: 2013-01-01
• Subjects: supply chain scheduling -- tardiness -- simulated annealing -- genetic algorithm -- bee algorithm; Manufacturing processes -- Periodicals; 670.4205
• Languages: English
• ISSNs: 1757-8817

Abstract

This paper presents an INLP model for problem of production scheduling with release date and deterioration in a three-staged supply chain. A vehicle with limited capacity is used to transport a specific raw material from supplier to manufacturer and another capacitated vehicle sends the finished products from manufacturer to customer. The objective function is minimisation of the total tardiness which is known as a NP-hard problem in literature. A simulated annealing meta-heuristic is used to find near optimal solutions in reasonable run time. In order to check the verification and to validate the proposed model, some small instances of problem are solved optimally using Lingo 11 global solver and are compared to SA results. Furthermore, two lower bounds are also provided for larger scales. Computational studies demonstrate that the proposed SA is capable to find solutions with very low gap in suitable run time.