When to Start Remanufacturing Using Adopter Categorization

Nitin Sachdeva (), P. K. Kapur () and Ompal Singh ()
Additional contact information
Nitin Sachdeva: University of Delhi
P. K. Kapur: Amity University
Ompal Singh: University of Delhi

A chapter in Quality, IT and Business Operations, 2018, pp 443-465 from Springer

Abstract: Abstract Remanufacturing of goods involves taking the product back from the customer so as to use it as a feedstock for manufacturing new products. It provides double benefits of cost and environmental saving to the manufacturer and society, respectively. One of the major challenges faced by original equipment manufacturer (OEM) here is forecasting quantity returned by the customers and when to start remanufacturing. In this paper, we formulate a strategy for OEMs to optimize time to start remanufacturing using the adopter categorization approach as proposed by Roger. We propose an optimization model based on famous Bass diffusion model to depict not only the quantity returned in the remanufacturing process but also the amount of cost saving a manufacturer does with efficient remanufacturing. With data on 11 consumer durable products, we compare product returned under various adopter categorization time point. An application examining the diffusion of these products under remanufacturing scenario is documented to illustrate the usefulness of the proposed strategy.

Keywords: Remanufacturing; Adopter categorization; Reused product; Remanufacturing diffusion dynamics (RDD); Bass model; Closed-loop supply chain; End-of-life product (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-981-10-5577-5_35

Ordering information: This item can be ordered from
http://www.springer.com/9789811055775

DOI: 10.1007/978-981-10-5577-5_35

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().