Identification of potential recovery facilities for designing a reverse supply chain network using physical programming

Kishore K. Pochampally; Surendra M. Gupta; Sagar V. Kamarthi

doi:10.1117/12.516197

27 February 2004 Identification of potential recovery facilities for designing a reverse supply chain network using physical programming

Kishore K. Pochampally, Surendra M. Gupta, Sagar V. Kamarthi

Author Affiliations +

Proceedings Volume 5262, Environmentally Conscious Manufacturing III; (2004) https://doi.org/10.1117/12.516197
Event: Photonics Technologies for Robotics, Automation, and Manufacturing, 2003, Providence, RI, United States

Abstract

Although there are many quantitative models in the literature to design a reverse supply chain, every model assumes that all the recovery facilities that are engaged in the supply chain have enough potential to efficiently re-process the incoming used products. Motivated by the risk of re-processing used products in facilities of insufficient potentiality, this paper proposes a method to identify potential facilities in a set of candidate recovery facilities operating in a region where a reverse supply chain is to be established. In this paper, the problem is solved using a newly developed method called physical programming. The most significant advantage of using physical programming is that it allows a decision maker to express his preferences for values of criteria (for comparing the alternatives), not in the traditional form of weights but in terms of ranges of different degrees of desirability, such as ideal range, desirable range, highly desirable range, undesirable range, and unacceptable range. A numerical example is considered to illustrate the proposed method.

Citation Download Citation

Kishore K. Pochampally, Surendra M. Gupta, and Sagar V. Kamarthi "Identification of potential recovery facilities for designing a reverse supply chain network using physical programming", Proc. SPIE 5262, Environmentally Conscious Manufacturing III, (27 February 2004); https://doi.org/10.1117/12.516197

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available