Optimization of multi-product constrained manufacturing problem with shelf lives using metaheuristic algorithms

Maryam Mohammadi, S. Nurmaya Musa, Ardeshir Bahreininejad

Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional


This article addresses the Economic Lot Scheduling Problem (ELSP) where multiple items produced on a single machine have different production frequencies and specified shelf lives. In the case of unavailable inventory, total backordering is allowed for any of the products. However, production of each item more than once per cycle may be more cost-effective, it might bring about an infeasible schedule. Mathematical models are formulated for solving a multi-item production problem to obtain the minimum yearly cost and feasible manufacturing schedule. Efficient search procedures are used to obtain the optimal solution by employing metaheuristic algorithms, namely genetic algorithm (GA) and simulated annealing (SA). The computational results indicate the prominence of the applied algorithms regarding lower total costs compared to other approaches existing in the literature.
Original languageEnglish
Title of host publication AOTULE 2013 Student Conference, Chulalongkorn Unviersity, Bangkok, Thailand
Number of pages1
Publication statusPublished - 2013
MoE publication typeD3 Professional conference proceedings
EventDeans/Admin Staff Meeting/Student Workshop - Bangkok, Thailand
Duration: 17 Oct 201319 Oct 2013
Conference number: 8


WorkshopDeans/Admin Staff Meeting/Student Workshop
Abbreviated titleAOTULE
Internet address


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