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A supply chain network with product remanufacturing and carbon emission considerations: a two-phase design
- Source :
- Journal of Intelligent Manufacturing. 29:693-705
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- Growing awareness of environmental issues is prompting the development of sustainable supply chain management. Closed-loop supply chains in which used products can be returned for remanufacture are becoming increasingly popular. This paper introduces a two-phase approach to the design of supply chain networks taking into account carbon emission and remanufacturing. In the first phase, a continuous approximation model is used to design the forward supply chain network. The objective is to minimize the total forward network cost by simultaneously determining the number and the service areas of distribution centers (DCs) and the replenishment cycle time for DCs. A nonlinear optimization technique is used to solve the forward supply chain network design problem. In the second phase, a reverse supply chain network is formulated based on the results of the first phase to determine the optimal number and service areas of remanufacturing centers (RCs) and the replenishment cycle time for RCs. Finally, numerical analyses are conducted to show the solution approach and provide some managerial insights.
- Subjects :
- 0209 industrial biotechnology
Service (systems architecture)
Engineering
business.industry
Supply chain
05 social sciences
02 engineering and technology
Phase (combat)
Industrial engineering
Industrial and Manufacturing Engineering
Manufacturing engineering
Nonlinear programming
Product (business)
020901 industrial engineering & automation
Artificial Intelligence
0502 economics and business
Production (economics)
Supply chain network
business
Remanufacturing
050203 business & management
Software
Subjects
Details
- ISSN :
- 15728145 and 09565515
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- Journal of Intelligent Manufacturing
- Accession number :
- edsair.doi...........cef6b86c2f20d5ece43de211587040ee