Priority model for critical success factors in reverse flow inventory management
by Marcele Elisa Fontana; Raphaela Vidal; Pedro Carmona Marques; Wesley Douglas Oliveira Silva
International Journal of Inventory Research (IJIR), Vol. 6, No. 2, 2023

Abstract: Reverse logistics is gaining prominence in a global, economic, social, and political context due to the increasing number of disposable products, a higher environmental concern, and the pursuit of competitive advantage. Thus, reverse flow inventory management is necessary for efficient operational control. However, many organisations are not able to identify and manage all their critical success factors (CSF) simultaneously. Thus, this paper proposes an integrative decision model to identify and prioritise CSFs. This model combines soft and hard operation research methods. The priority model can aid DMs to think creatively about their values in messy situations and express them in a structured way, requiring less cognitive effort because it uses partial information in its elicitation procedure. A case study in a Brazilian steel company was conducted to demonstrate the applicability of the proposed model. This model was able to generate practical, managerial, environmental, and social results.

Online publication date: Tue, 18-Apr-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Inventory Research (IJIR):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com