A Sustainable Production Scheduling with Backorders under Different Forms of Rework Process and Green Investment

R. Udayakumar, S. Priyan, Mandeep Mittal, Anuwat Jirawattanapanit, Grienggrai Rajchakit and Pramet Kaewmesri ()
Additional contact information
R. Udayakumar: Department of Mathematics, Dr. N.G.P Institute of Technology, Coimbatore 641048, Tamil Nadu, India
S. Priyan: Department of IT & Engineering, Faculty of Mathematics, Amity University Tashkent, Tashkent 100028, Uzbekistan
Mandeep Mittal: Department of Mathematics, Amity Institute of Applied Sciences, Amity University Uttar Pradesh, Noida 201313, Uttar Pradesh, India
Anuwat Jirawattanapanit: Department of Mathematics, Faculty of Science, Phuket Rajabhat University (PKRU), Phuket 83000, Thailand
Grienggrai Rajchakit: Department of Mathematics, Faculty of Science, Maejo University, Chiang Mai 50290, Thailand
Pramet Kaewmesri: Geo-Informatics and Space Technology Development Agency (GISTDA), Bangkok 10210, Thailand

Sustainability, 2022, vol. 14, issue 24, 1-38

Abstract: Rework is currently a necessity for businesses and commercial organizations across the world. It is only beneficial in tackling climate change if the process emits less greenhouse gases than would otherwise be emitted. This study designs an optimal production scheduling model to reduce both carbon emissions during the processes of production, transport and storage, and setup cost by leveraging on green technology efforts in an imperfect production process where a fraction of items is erroneous so that the firm may run out of inventory. The producer implements a rework strategy to rectify the flawed products, anda flexible rework rate is offered since the rework might be executed on various schemes. The flexible rework allows the producer to choose therework rate, which can differ from the production rate, as well as the rework process itself, which can be asynchronous or synchronous.The two forms of green investments: quadratic and exponential are considered in the study. The main point of the study is to derive a solution procedure of the various problem settings associated with the rework rate, rework process and green investment. The findings suggest that developing the optimal production schedule (lot-sizes, backorders, setup cost and green investment amount) can lower the manufacturing sector’s excessive ecological carbon emissions. The findings also support the idea that making green investments is the most cost-effective way to cut carbon emissions and setup cost simultaneously.

Keywords: carbon emissions (CO 2 ); green investment; imperfect production; rework process (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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