Analysis of network design for a circular production system using multi-objective mixed integer linear programming model

Purpose The purpose of this paper is to propose a mathematical model for the design of a circular production system (CPS) for an Indian manufacturing organization participating in a symbiotic network. Design/methodology/approach A multi-objective mixed integer linear programming is used to model the...

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Veröffentlicht in:Journal of manufacturing technology management Jg. 30; H. 3; S. 628 - 646
Hauptverfasser: Vimal, K.E.K, Rajak, Sonu, Kandasamy, Jayakrishna
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bradford Emerald Publishing Limited 15.04.2019
Emerald Group Publishing Limited
Schlagworte:
Advanced manufacturing technologies
By products
Circular economy
Circularity
Computer simulation
Defective products
Design engineering
Economic analysis
Economic models
Economics
Industrial development
Integer programming
Linear programming
Logistics
Manufacturing
Mathematical models
Mixed integer
Multiple objective analysis
Network analysis
Network design
Optimization
Production capacity
Purchase orders
Raw materials
Reverse logistics
Sensitivity analysis
Suppliers
Supply chain management
Supply chain sustainability
Supply chains
Sustainability
Sustainable development
Competitive advantage
Supply chain management
Ecology
Sustainable production
ISSN:1741-038X, 1758-7786
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Zusammenfassung:Purpose The purpose of this paper is to propose a mathematical model for the design of a circular production system (CPS) for an Indian manufacturing organization participating in a symbiotic network. Design/methodology/approach A multi-objective mixed integer linear programming is used to model the network for quantifying the economic benefits. The data set collected from the case organization is used. The GAMS optimization package is used to simulate the model. Findings The model is able to compute the economic benefit achieved through circular operations in the case organization. The flow of different items through the network is also obtained. Research limitations/implications The data set of the single organization in the symbiotic network is used to validate the proposed mathematical model. Further research can be done considering the all the organizations in the considered symbiotic network. Practical implications This paper will help the authors to better understand the role of sustainable supply chains in a circular economy model especially in energy and materials intensive industries. Originality/value This study has uniquely utilized a multi-objective mixed-integer linear programming approach for the analysis of variables in CPSs and the corresponding economic benefits.
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ISSN:1741-038X
1758-7786
DOI:10.1108/JMTM-02-2018-0058