Effect of Learning and Forgetting on Inventory Model under Carbon Emission and Agile Manufacturing

Vandana, Shiv Raj Singh, Mitali Sarkar and Biswajit Sarkar ()
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Vandana: Department of Mathematics, Inderprastha Engineering College, Ghaziabad 201010, India
Shiv Raj Singh: Department of Mathematics, Chaudhary Charan Singh University, Meerut 250001, India
Mitali Sarkar: Department of Industrial and Management Engineering, Pohang University of Science and Technology, 77, Cheongam-ro, Nam-gu, Pohang-si 37673, Republic of Korea
Biswajit Sarkar: Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seodaemun-gu, Seoul 03722, Republic of Korea

Mathematics, 2023, vol. 11, issue 2, 1-20

Abstract: The aim of this study is to examine the learning and forgetting effect on a manufacturer’s production process with volume agility and carbon emission costs. During COVID-19, the learning rate becomes very low, and the forgetting rate becomes very high. That is why, the analysis of the learning and forgetting effects on the production process is very important. This research finds an effect of learning and forgetting on the manufacturer and on reducing the unit manufacturing cost. Here, the production rate is a function of the number of units produced, and it is taken as a decision variable through agile manufacturing. Here, the Weibull deterioration rate is used, and the production process is subject to the learn–forget–learn policy. Here, a carbon emission cost is introduced into the setup/ordering cost, holding cost, and item cost for the manufacturer. The effect of learning and forgetting is analyzed through numerical examples.

Keywords: learning and forgetting; carbon emission; deterioration rate; agile manufacturing (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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