Title: Priority model for critical success factors in reverse flow inventory management

Authors: Marcele Elisa Fontana; Raphaela Vidal; Pedro Carmona Marques; Wesley Douglas Oliveira Silva

Addresses: Technology Department, Universidade Federal de Pernambuco (UFPE), Agreste Academic Centre (CAA), Caruaru (PE), Brazil ' Research Centre in Industrial Engineering, Management and Sustainability (EIGeS), Lusófona University, Lisbon, Portugal ' Research Centre in Industrial Engineering, Management and Sustainability (EIGeS) and ISEL, Lusófona University and Polytechnic of Lisbon, Lisbon, Portugal ' Tech Engineering School, Universidade Católica de Pernambuco (UNICAP), Caruaru-PE, Brazil

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.

Keywords: reverse supply chain; multi-methodology; problem structured methods; elicitation procedure.

DOI: 10.1504/IJIR.2023.130360

International Journal of Inventory Research, 2023 Vol.6 No.2, pp.116 - 134

Published online: 18 Apr 2023 *

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