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KAZANCOGLU, Y., SAGNAK, M., KAYIKCI, Yasanur and KUMAR MANGLA, S. (2020). Operational excellence in a green supply chain for environmental management: a case study. Business Strategy and the Environment, 29 (3), 1532-1547.
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Abstract
Nowadays, organizations have started to become more conscious about the environment in their supply chain operations. The greening process has guided supply chain practices into new ways of thinking according to green standards. The assessment of the performance of green supply chain management (GSCM) requires a holistic view for the whole supply chain. In this context, given that becoming green in the operational side of activities is essential, the performance assessment of operational activities also requires a holistic view to be taken. In this paper, an attempt has been made to improve the performance of GSCM by examining and evaluating the green operational excellence of a hot dip galvanizing company. The framework includes several green operational excellence key criteria, namely, quality management, efficiency management, green production/manufacturing, eco-packaging, and green design. First, the weights of the criteria and the respective measurements were found by fuzzy analytic network process. Then, the overall operational performance score was found by a weighted scoring method. Finally, both managerial and theoretical implications were suggested according to the outcomes and findings of the case study.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | fuzzy ANP; green supply chain; operational excellence; performance assessment; sustainability; weighted scoring method; 0502 Environmental Science and Management; 1501 Accounting, Auditing and Accountability; 1503 Business and Management; Business & Management |
| Identification Number: | https://doi.org/10.1002/bse.2451 |
| Page Range: | 1532-1547 |
| SWORD Depositor: | Symplectic Elements |
| Depositing User: | Symplectic Elements |
| Date Deposited: | 20 May 2022 16:28 |
| Last Modified: | 12 Oct 2023 12:01 |
| URI: | https://shura.shu.ac.uk/id/eprint/29903 |
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