Manufacturing/remanufacturing based supply chain management under advertisements and carbon emissions process

Subhash Kumar, Meenu Sigroha, Kamal Kumar, Biswajit Sarkar

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)

Abstract

One of the most successful ways to get the word out about a product's popularity across all types of customers is through advertising. It has a valuable direct influence on increasing product demand. The supply chain model is developed for manufacturer and retailer, where advertisements are dependent on demand. The advertisement rate has been considered a function that has enhanced at a diminishing rate concerning time, although the growth rate slowed. During the manufacturing cycle, the market's demand is a function of advertisement, and the customer's demand is a linear function of time. The production rate exceeds the demand rate during manufacturing and remanufacturing; shortages are not faced. It involves a manufacturing/remanufacturing process that quickly delivers consumer products and less waste. To keep the environment clean, the cost of carbon emissions is incorporated into the manufacturer's and supplier's holding and degrading costs. The model's primary purpose is to minimize the overall cost of manufacturing and remanufacturing. The overall cost during the manufacturing cycle is higher than that during the remanufacturing cycle. This study confirms that the increasing cost of advertising provides the continuous increasing value of the total cost. A numerical example is provided, graphical representation and sensitivity analysis determine the function's behavior and test the model.

Original languageEnglish
Pages (from-to)831-851
Number of pages21
JournalRAIRO - Operations Research
Volume56
Issue number2
DOIs
Publication statusPublished - 2022 Mar 1

Bibliographical note

Funding Information:
Acknowledgements. The first author Subhash Kumar is working at Meerut College,Meerut as a research scholar and thankful to UGC, India, for the financial support. The work is supported by the National Research Foundation of Korea (NRF) grant, funded by the Korea Government (MSIT) (NRF-2020R1F1A1064460).

Publisher Copyright:
© 2022 Authors

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science Applications
  • Management Science and Operations Research

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