Article ID: | iaor20171853 |
Volume: | 253 |
Issue: | 1 |
Start Page Number: | 353 |
End Page Number: | 376 |
Publication Date: | Jun 2017 |
Journal: | Annals of Operations Research |
Authors: | Diabat Ali, Kannan Devika, Garg Kiran, Jha P |
Keywords: | supply & supply chains, combinatorial optimization, simulation, planning, networks, management, demand, heuristics, programming: integer |
The increasing pressure due to legislation and various public policies has prompted manufacturers to seriously take into consideration the impact of electronic waste. To overcome this challenge, several manufacturers have incorporated reverse logistics into their business lines. Due to a lack of resources and/or managerial expertise, several companies choose to outsource product recovery activities to third parties. The growing demand has given rise to the number of third party logistics providers, who are assigned the task of efficiently and cost effectively achieving product recovery. The work of the 3PRL’s commences with the collection of returned products from various companies to retrieve maximum value harvested in the form of reusable products, components and materials. Thus, a 3PRLP needs to establish a recovery process able to effectively retrieve value from various types of product. To deal with multiple types of products, the recovery network needs to work with a balanced disassembly line. Thus in this paper we proposes a cost effective reverse logistics network from the perspective of the third party, which integrates the disassembly line balancing in the planning recovery network. This study develops a mixed integer non‐linear programming problem for the same. The model is validated using various products from the liquid crystal displays industry.