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Journal Article•DOI•

A technical note on ‘Analysis of closed loop supply chain using genetic algorithm and particle swarm optimisation’

Perumal Subramanian1, N. Ramkumar1, T.T. Narendran1, K. Ganesh2•
Indian Institute of Technology Madras1, IBM2
16 Apr 2012-International Journal of Production Research (Taylor & Francis Group)-Vol. 50, Iss: 2, pp 593-602
TL;DR: In this paper, the authors analyzed the mixed-integer linear program (MILP) proposed by Kannan et al. in their paper entitled "Analysis of closed loop supply chain using genetic algorithm and particle swarm optimisation".
Abstract: This study analyses the mixed-integer linear program (MILP) proposed by Kannan et al. [Kannan, G., Noorul Hag, A., and Devika, M., 2009. Analysis of closed loop supply chain using genetic algorithm and particle swarm optimization. International Journal of Production Research, 47 (5), 1175–1200] in their paper entitled ‘Analysis of closed loop supply chain using genetic algorithm and particle swarm optimisation’. Since we find inconsistencies in the model, we propose modifications to rectify the flaws. The revised model is presented and tested using a hypothetical problem.
Citations
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Journal Article•DOI•
A review of reverse logistics and closed loop supply chain management studies published in IJPR: a bibliometric and content analysis

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Nima Kazemi1, Nikunja Mohan Modak, Kannan Govindan•
Massachusetts Institute of Technology1
29 Aug 2019-International Journal of Production Research
TL;DR: This review study aims to investigate the studies in the area of RL&CLSCM published in IJPR from 2000 until July 2017 by presenting a thorough bibliometric and content analysis of 94 studies.
Abstract: Reverse Logistics and Closed Loop Supply Chain Management (RL&CLSCM) are universally recognised as two environmentally friendly practices that could help in greening conventional supply chains. The...

181 citations

Journal Article•DOI•
Swarm intelligence applied in green logistics: A literature review

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Shuzhu Zhang1, Carman K. M. Lee1, Hing Kai Chan2, King Lun Tommy Choy1, Zhang Wu3 •
Hong Kong Polytechnic University1, University of Nottingham2, Nanyang Technological University3
01 Jan 2015-Engineering Applications of Artificial Intelligence
TL;DR: This research reviews the application of SI in GL through a comprehensive and extensive investigation and analysis of extant literature, which includes 115 publications in the last twenty years.

115 citations

Journal Article•DOI•
PRISM: PRIority based SiMulated annealing for a closed loop supply chain network design problem

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Perumal Subramanian1, N. Ramkumar2, T.T. Narendran2, K. Ganesh3•
Pennsylvania State University1, Indian Institute of Technology Madras2, IBM3
01 Feb 2013
TL;DR: A constructive heuristic based on Vogel's approximation method-total opportunity cost method is developed to provide good initial solutions to a priority-based simulated annealing heuristic, to accelerate its convergence.
Abstract: Concerns over environmental degradation, legislative requirements and growing needs of business have fueled the growth of Closed Loop Supply Chains (CLSC). We consider a CLSC and address the issues of designing the network and of optimizing the distribution. Four variants of the problem are considered. The problem is modeled as an Integer Linear Program (ILP). We develop a constructive heuristic based on Vogel's approximation method-total opportunity cost method to provide good initial solutions to a priority-based simulated annealing heuristic, to accelerate its convergence. Trials on a set of hypothetical datasets have yielded encouraging results. The methodology is also tested using a case study data of a company producing electronic products. Implications for sustainability are discussed.

64 citations

Journal Article•DOI•
A bi-objective network design model for multi-period, multi-product closed-loop supply chain

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Subramanian Pazhani1, N. Ramkumar2, T.T. Narendran3, K. Ganesh4•
Pennsylvania State University1, JDA Software2, Indian Institute of Technology Madras3, McKinsey & Company4
05 Sep 2013-Journal of Industrial and Production Engineering
TL;DR: A bi-objective mixed integer linear programming model is developed to assist decisions in (1) location/operating decisions for warehouses, hybrid facilities and manufacturing facilities and (2) production and distribution of products between stages in the supply chain.
Abstract: Concerns over environmental degradation legislative requirements and growing business needs have fueled the growth of closed-loop supply chains (CLSCs). This paper addresses a bi-objective network design problem for multi-period, multi-product CLSC to minimize the total supply chain costs and to maximize the service efficiency of the warehouses and hybrid facilities. We develop a bi-objective mixed integer linear programming model to assist decisions in (1) location/operating decisions for warehouses, hybrid facilities and manufacturing facilities and (2) production and distribution of products between stages in the supply chain. Goal programming models and compromise programming techniques are used to solve the problem. An application of the model is demonstrated using a case study from the literature.

26 citations

Cites background from "A technical note on ‘Analysis of cl..."

  • ...However, there are limitations and errors [40] in the model, in the data-sets and in the computational studies reported....

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  • ...(1) Very few papers deal with multi-period network design models for integrated forward and reverse supply chains [4,29,34,35,40]....

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Journal Article•DOI•
Development of Closed–Loop Supply Chain Network in Terms of Corporate Social Responsibility

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Ali Pedram1, Payam Pedram2, Nukman Yusoff1, Shahryar Sorooshian3•
University of Malaya1, Qazvin Islamic Azad University2, Universiti Malaysia Pahang3
06 Apr 2017-PLOS ONE
TL;DR: A mathematical model to increase corporate social responsibility in terms of job creation, in addition to increasing total CLSC profit, provides a range of strategic decision solutions for decision makers to select a best action plan for a CLSC.
Abstract: Due to the rise in awareness of environmental issues and the depletion of virgin resources, many firms have attempted to increase the sustainability of their activities. One efficient way to elevate sustainability is the consideration of corporate social responsibility (CSR) by designing a closed loop supply chain (CLSC). This paper has developed a mathematical model to increase corporate social responsibility in terms of job creation. Moreover the model, in addition to increasing total CLSC profit, provides a range of strategic decision solutions for decision makers to select a best action plan for a CLSC. A proposed multi-objective mixed-integer linear programming (MILP) model was solved with non-dominated sorting genetic algorithm II (NSGA-II). Fuzzy set theory was employed to select the best compromise solution from the Pareto-optimal solutions. A numerical example was used to validate the potential application of the proposed model. The results highlight the effect of CSR in the design of CLSC.

19 citations

References
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Journal Article•DOI•
The spatial and temporal consolidation of returned products in a closed-loop supply chain network

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Hokey Min1, Chang Seong Ko2, Hyun Jeung Ko3•
University of Louisville1, Kyungsung University2, Korea Maritime Institute3
01 Oct 2006-Computers & Industrial Engineering
TL;DR: A mixed-integer, nonlinear programming model and a genetic algorithm that can solve the reverse logistics problem involving both spatial and temporal consolidation of returned products is proposed.

173 citations

"A technical note on ‘Analysis of cl..." refers background in this paper

  • ...(3) There is no saving in shipment (transportation cost) by consolidating the returned items as inventory at the collection centres (Min et al. 2006)....

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  • ...(3) There is no saving in shipment (transportation cost) by consolidating the returned items as inventory at the collection centres (Min et al. 2006)....

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Journal Article•DOI•
Analysis of closed loop supply chain using genetic algorithm and particle swarm optimisation

[...]

G. Kannan1, A. Noorul Haq1, M Devika2•
National Institute of Technology, Tiruchirappalli1, Government Polytechnic College2
01 Mar 2009-International Journal of Production Research
TL;DR: In this article, an integrated forward logistics multi-echelon distribution inventory supply chain model (FLM) is proposed to design an integrated Forward Logistics Multi-Echelon Distribution Inventory Supply Chain Model (FLMM).
Abstract: There are many reasons for the growing interest in reverse logistics. The most prominent reasons are the growing concern for the environment and cost reduction. Next to environment, consumers demand for clean manufacturing and recycling. Hence, customers and retailers expect original equipment manufacturers to set up a proper reverse logistics system and expect the returned products to be processed and recovered in an environmentally responsible way and another reason is cost reduction. A well-managed reverse logistics programme can provide important cost savings in procurement, disposal, inventory carrying and transportation. In this context, looking at the entire supply chain is the best starting point for solutions. Supply chain management aims at the integration of traditional ‘forward’ supply chain processes, avoiding local optimisation by emphasising integrality. The main objective of this paper is to design an integrated forward logistics multi-echelon distribution inventory supply chain model (FLM...

172 citations

"A technical note on ‘Analysis of cl..." refers background or methods in this paper

  • ...The following implications of Kannan et al. (2009) are examined critically....

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  • ...Revised mathematical model We propose an integer linear program (ILP) for the problem considered by Kannan et al. (2009). For the sake of clarity, we have used the same notation, indices and equation numbers wherever possible....

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  • ...(4) Items returned from the collection centre to the manufacturing plant were not considered by Kannan et al. (2009)....

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  • ...Therefore, TPIC (Kannan et al. 2009) is not considered....

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  • ...Problem description The CLSC network, considered by Kannan et al. (2009) for both of its cases, is detailed below. The network has K manufacturers catering to the needs of W retailers through a set of J distributors and I wholesalers. Manufacturers produce a set of products M! {m1,m2, . . . ,mp}. Raw material for producing product set M is purchased from the best supplier considered among S suppliers. Retailers’ demand for products M in each time period z! {1, 2, . . . ,Z} is known. Customers’ return is aggregated at C collection centres. The return quantity is known. The products are subsequently returned to the manufacturers for recycling. It is assumed that all the returned items are recycled and there is no disposal at the collection centres. The task is to analyse a multi-product, multi-period allocation problem for closed-loop supply chain networks (assumption of the model of Kannan et al. (2009))....

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