Designing reverse logistics network for a case study of home-care health medical device waste management: Implications for Industry 4.0 supply chains. Issue 10 (2022)

• Record Type: Journal Article
• Authors: Sar, Kubra; Ghadimi, Pezhman
• Is Part Of: IFAC-PapersOnLine. Volume 55:Issue 10(2022)
• Page Start: 3148
• Page End: 3153
• Publication Date: 2022
• Subjects: logistics -- real-time -- network -- modeling approach -- optimization; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2022.10.213
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: This study presents a reverse logistics network design (RLND) model for medical product waste management generated as part of home health care operation. The aim of this paper is to develop a mathematical model that maximizes collected waste amount by utilizing real-time updating number of customers in the network and their changing demands. The efficiency and applicability of the developed model was validated by a randomly generated small dataset based on a case study in home care health management sector using Pyomo optimization solver package.