Linear and Non-Linear Models for Master Scheduling of Dynamic Resources Product Mix

Fuente: arXiv
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Autores principales: Mohammed, Ayman R., Sleem, Ahmad Abu, Abdel-Aal, Mohammad A. M.
Formato: Preprint
Publicado: 2024
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author Mohammed, Ayman R.
Sleem, Ahmad Abu
Abdel-Aal, Mohammad A. M.
author_facet Mohammed, Ayman R.
Sleem, Ahmad Abu
Abdel-Aal, Mohammad A. M.
contents The literature on master production scheduling for product mix problems under the Theory of Constraints (TOC) was considered by many previous studies. Most studies assume a static resources availability. In this study, the raw materials supplied to the manufacturer is considered as dynamic depending on the results of the problem. Thus, an integer linear heuristic, an integer non-linear optimization model, and a basic non-linear model are developed to find a good solution of the problem. The results of the three models were compared to each other in terms of profit, raw materials costs, inventory costs and raw materials utilization. Recent studies in the field are reviewed and conclusions are drawn.
format Preprint
id arxiv_https___arxiv_org_abs_2402_11306
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Linear and Non-Linear Models for Master Scheduling of Dynamic Resources Product Mix
Mohammed, Ayman R.
Sleem, Ahmad Abu
Abdel-Aal, Mohammad A. M.
Computational Engineering, Finance, and Science
The literature on master production scheduling for product mix problems under the Theory of Constraints (TOC) was considered by many previous studies. Most studies assume a static resources availability. In this study, the raw materials supplied to the manufacturer is considered as dynamic depending on the results of the problem. Thus, an integer linear heuristic, an integer non-linear optimization model, and a basic non-linear model are developed to find a good solution of the problem. The results of the three models were compared to each other in terms of profit, raw materials costs, inventory costs and raw materials utilization. Recent studies in the field are reviewed and conclusions are drawn.
title Linear and Non-Linear Models for Master Scheduling of Dynamic Resources Product Mix
topic Computational Engineering, Finance, and Science
url https://arxiv.org/abs/2402.11306