![Sample our Engineering & Technology journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5933/TOC-Subject-Sample-2021-Engineering-Tech.jpg"})
ABSTRACT
A product recovery system is proposed to reduce the bulk of waste sent to landfills by retrieving materials and parts of obsolete products for using them in remanufacturing and recycling. Product recovery is a significant strategy for enhancing customer satisfaction with regard to environmental concerns. Considering the fact that some products are returned, it becomes challenging to analyse whether to manufacture a new product or to rework the returned product at every step of the product recovery chain. Our approach uses a mixed integer linear programming model with the genetic algorithm and particle swarm optimisation, where two meta-heuristic algorithms are introduced for solving the MILP problem. Here, a recovery scenario is modelled, subject to the time and type of product to be processed. The study is intended to enhance the overall productivity of the product recovery chain. To demonstrate the approach, a case study is presented in the fast-moving consumer goods industry in which the proposed model demonstrates a reduction in the overall cost in the product recovery chain.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Data availability statement
The data that support the findings of this study are available from the corresponding author on reasonable request.
Additional information
Notes on contributors
Ashish Dwivedi
Ashish Dwivedi works as an assistant professor in the area of operations management and decision sciences at Jindal Global Business School, O.P. Jindal Global (Institution of Eminence Deemed to be University), Sonipat, India. He holds a doctorate (Ph.D.) from the Department of Management Studies, Indian Institute of Technology Delhi, India. He holds an M.Tech degree in Mechanical Engineering with specialisation in Computer-Aided Design and Manufacturing from Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India. He is an engineering graduate in Mechanical Engineering. His research has been published in various journals of international repute including the Journal of Cleaner Production, Business Strategy and Environment, International Journal of Logistics Management, International Journal of Manpower and so forth. He has also presented his research works at various international conferences held in the U.S and Dubai.
Jitender Madaan
Jitender Madaan is an associate professor and member of the Department of Management Studies Operations and Supply Chain Management Group, Indian Institute of Technology, Delhi. He served as the assistant professor in the production and industrial engineering group of the Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee and as an adjunct faculty at the New York Institute of Technology. Prof. Madaan is a founding member of the Entrepreneurship Program at DMS Indian Institute of Technology, Delhi. His research interests are in diverse areas of supply chain management, sustainable product recovery systems, product packaging system design and disaster management with special focus on ‘emergency humanitarian supply chain simulation and modelling’ and ‘businesses resilience and post disaster recovery’. He is currently involved as the principal investigator and co-investigator of several major research projects related to sustainable supply chains funded by Indian funding agencies including DST, Indian Navy, DEIT and IIT Delhi, IIT Roorkee, among others. Prof. Madaan teaching interests cover a good range of topics including operations management, logistics, supply chain analytics, industrial environmental management, information systems and technology, and select topics on entrepreneurship design thinking. Prof. Madaan has published on his own and with a wide variety of co-authors in numerous publication outlets. He has over 55 research publications, most of which are cited in his institutes’ research pages.
Felix T. S. Chan
Felix Chan received his BSc Degree in Mechanical Engineering from Brighton University, U.K, and obtained his MSc and PhD in Manufacturing Engineering from the Imperial College of Science and Technology, University of London, U.K. Prior to joining the Macau University of Science and Technology, Prof. Chan has many years of working experience in other universities including The Hong Kong Polytechnic University; University of Hong Kong; University of South Australia; University of Strathclyde. His current research interests are Logistics and Supply Chain Management, Operations Research, Production and Operations Management, Distribution Coordination, Smart Manufacturing, AI Optimisation. To date, Prof. Chan has published over 16 book chapters, over 370 SCI refereed international journal papers and 310 peer-reviewed international conference papers. His total number of citations > 10700, h Index = 53. Prof. Chan is a chartered member of the Chartered Institute of Logistics and Transport in Hong Kong. Based on the recent compilation (2020) from a research group of Stanford about the impact of scientists (top 2% listed), the work is published on the following website: https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000918. Prof. Felix Chan is categorised in the field of Operations Research, ranked 10 out of 23,455 scientists worldwide, i.e. top 0.04% worldwide. He also ranked 2 among all the universities in Hong Kong.
Mohit Dalal
Mohit Dalal graduated from the Indian Institute of Technology Delhi, India with a B.Tech in Industrial and ProductionEngineering. He received two awards for the best innovative hardware-oriented major project in Mechanical Engineering for the session 2018–2019. During his college years, he developed an interest in Logistics and Supply Chain Management and Operations Research. Currently, he is working on Big Data Analytics and Machine Learning in the Banking Industry.