Title |
DfRem-Driven Closed-Loop Supply Chain Decision-Making: A Systematic Framework for Modeling Research |
ID_Doc |
24826 |
Authors |
Niu, SY; Zhuo, HL; Xue, KL |
Title |
DfRem-Driven Closed-Loop Supply Chain Decision-Making: A Systematic Framework for Modeling Research |
Year |
2019 |
Published |
Sustainability, 11, 12 |
DOI |
10.3390/su11123299 |
Abstract |
With the prevalence of a circular economy, extended producer responsibility, and the maturity of intelligent manufacturing technology, Design for Remanufacture (DfRem) has become a new driving force for the profitability of the modern supply chain. DfRem activities occur at the stage of new product design but have a significant impact on subsequent remanufacturing operations. Based on the closed-loop supply chain operation systems with DfRem, we systematically explored the impact of DfRem on supply chain operation decisions through a case study and modeling analysis and built up a modeling research framework of DfRem-driven closed-loop supply chain (CLSC) operation decision-making. Our research identified DfRem-driven model design elements and discussed the modeling of DfRem-driven investment decision problems, involving different approaches to obtain DfRem investment (i.e., DfRem-driven horizontal or vertical supply chain cooperation) and the ownership of DfRem-level decision-making rights. Moreover, the DfRem-driven two-stage and multi-period modeling processes are elaborated in detail. The aim of this paper is to provide other scholars with a more comprehensive understanding of DfRem research issues, and to establish an integrated DfRem-driven research framework for subsequent scholars to better conduct modeling research on DfRem. |
Author Keywords |
Design for Remanufacture (DfRem); closed-loop supply chain (CLSC); modeling framework; investment cooperation; operational decision optimization |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
EID |
WOS:000473753700069 |
WoS Category |
Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
PDF |
https://www.mdpi.com/2071-1050/11/12/3299/pdf?version=1560749908
|