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Economic production quantity model considering warm-up period in a cleaner production environment

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  • Amir Hossein Nobil
  • Sunil Tiwari
  • Fatemeh Tajik

Abstract

Currently, the primary objective of every manufacturing organization is in customers’ satisfaction and system cost reduction while keeping in mind both production quantity (economic issues) and environmental issues (sustainability). This study investigates the effects of machine warm-up period on an imperfect production process with rework. In this case, the maintenance process is intended to maximize the efficiency and effectiveness of the production machine. In this manufacturing system, it assumed that after the setup time, the machine starts at the lower rate than the regular production process, commonly called as warm-up period. The warm-up period will increase the useful life of the machine. On the other hand, the machine's defects that occur during this warm-up period are identified and repaired before the regular production starts. Also, this warm-up period reduces waste as it improves machine performance; resulting in the decrease of scrapped items that makes the process friendly for the environment. The purpose of this proposed model is to determine the optimum value of production quantity to minimize the total costs by considering the warm-up period and set-up time. Finally, numerical experiments have been conducted to validate the efficacy of the model as well as to obtain some managerial insights.

Suggested Citation

  • Amir Hossein Nobil & Sunil Tiwari & Fatemeh Tajik, 2019. "Economic production quantity model considering warm-up period in a cleaner production environment," International Journal of Production Research, Taylor & Francis Journals, vol. 57(14), pages 4547-4560, July.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:14:p:4547-4560
    DOI: 10.1080/00207543.2018.1518608
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    Cited by:

    1. Erfan Nobil & Leopoldo Eduardo Cárdenas-Barrón & Imelda de Jesús Loera-Hernández & Neale R. Smith & Gerardo Treviño-Garza & Armando Céspedes-Mota & Amir Hossein Nobil, 2023. "Sustainability Economic Production Quantity with Warm-Up Function for a Defective Production System," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    2. Mahesh Kumar Jayaswal & Mandeep Mittal, 2022. "Impact of Inflation and Credit Financing Policy on the Supply Chain With Learning," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 15(1), pages 1-25, January.
    3. Erfan Nobil & Leopoldo Eduardo Cárdenas-Barrón & Dagoberto Garza-Núñez & Gerardo Treviño-Garza & Armando Céspedes-Mota & Imelda de Jesús Loera-Hernández & Neale R. Smith & Amir Hossein Nobil, 2023. "Machine Downtime Effect on the Warm-Up Period in an Economic Production Quantity Problem," Mathematics, MDPI, vol. 11(7), pages 1-23, April.
    4. Mitali Sarkar & Li Pan & Bikash Koli Dey & Biswajit Sarkar, 2020. "Does the Autonomation Policy Really Help in a Smart Production System for Controlling Defective Production?," Mathematics, MDPI, vol. 8(7), pages 1-21, July.

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