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Nobil, A., Kazemi, . (2022). Presenting an economic lot-sizing scheduling problem considering maximum permissible carbon emissions. , 20(65), 217-243. doi: 10.22054/jims.2022.34024.2109
Amir Hossein Nobil; َAbolfazl Kazemi. "Presenting an economic lot-sizing scheduling problem considering maximum permissible carbon emissions". , 20, 65, 2022, 217-243. doi: 10.22054/jims.2022.34024.2109
Nobil, A., Kazemi, . (2022). 'Presenting an economic lot-sizing scheduling problem considering maximum permissible carbon emissions', , 20(65), pp. 217-243. doi: 10.22054/jims.2022.34024.2109
Nobil, A., Kazemi, . Presenting an economic lot-sizing scheduling problem considering maximum permissible carbon emissions. , 2022; 20(65): 217-243. doi: 10.22054/jims.2022.34024.2109

Presenting an economic lot-sizing scheduling problem considering maximum permissible carbon emissions

مطالعات مدیریت صنعتی
Article 7, Volume 20, Issue 65, June 2022, Pages 217-243    PDF (1.26 M)
Document Type: Research Paper
DOI: 10.22054/jims.2022.34024.2109
Authors
Amir Hossein Nobil1; َAbolfazl Kazemi* 2
1PhD student in industrial and mechanical engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran
2Associate Professor, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Abstract
Carbon emissions related to energy consumptions from the manufacturing industry have become a substantial part of environmental burdens. Carbon emissions related to energy consumptions from the manufacturing industry have become a substantial part of environmental burdens. This study presents carbon emission constraint into the economic lot scheduling problem to reduce carbon emissions. The aim of this research to satisfy customer demand for various items over the planning horizon, with an objective to minimize total costs, includes setup, production, rework and holding costs. In this problem, it is assumed that the production process is defective, and during the process some of the goods are produced with undesirable quality. Defective products can be sold using a rework process. This proposed model has been proven to be a nonlinear convex programming problem. Hence, the optimal solution of this proposed model can be obtained using the derivative method. Finally, a hypothetical example is solved to demonstrate the performance of the proposed exact solution algorithm.
Keywords
Carbon emission constraint; nonlinear programming; exact solution algorithm; sustainable environment; lot-sizing problem
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