Journal of Industrial Engineering Research in Production Systems

Journal of Industrial Engineering Research in Production Systems

Order Planning and Parallel Machines Scheduling Considering Make to Order (MTO) and Make to Stock (MTS) Combinational Policies

Document Type : Research Paper

Authors
Sajad Amiri 1
Javad Rezaeian 2
1 . M.A. Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
2 Associate Professor, Department of Industrial Engineering, Mazandaran University of Science And Technology , Babol, Iran
10.22084/ier.2024.29466.2170
Abstract
In this research, a proposed integer non-linear programming model investigates the order planning problem in a multi-product, multi-period environment. The model focuses on unrelated parallel machine scheduling using make-to-stock (MTS)1 and make-to-order (MTO)2 combinational policies towards the just-in-time (JIT)3 approach. The objective function is to minimize total operating costs, procurement of raw materials, storage of raw materials and final products, tardiness, and rejection of orders. The proposed model is coded, solved, and validated using an illustrative example with Lingo 9.0 software. The results show the model's correct performance, which responds to most orders at appropriate times with the lowest inventory level. Also, considering the theoretical challenges and industrial applications, a genetic algorithm is proposed to solve this problem. The performance of the proposed algorithm is evaluated using several numerical issues. Finally, the analysis of computational results indicates the satisfactory performance of the algorithm.
Keywords
Genetic Algorithm
Order Planning
unrelated parallel machines scheduling
make-to-stock (MTS)
make-to-order (MTO)
just in time (JIT)
Subjects
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Journal of Industrial Engineering Research in Production Systems
Volume 12, Issue 24
September 2024
Pages 63-75