| Title |
Green production planning for circular supply chain and resource management: An empirical study for high-tech textile dyeing |
| ID_Doc |
8877 |
| Authors |
Chien, CF; Kuo, PC; Sun, PC; Kuo, HA |
| Title |
Green production planning for circular supply chain and resource management: An empirical study for high-tech textile dyeing |
| Year |
2024 |
| Published |
|
| DOI |
10.1016/j.resconrec.2024.107499 |
| Abstract |
Effective production planning is crucial for optimizing resource management and enhancing the recycling rate of defective fabric to reduce waste and wastewater generation. Dyeing is valuable and polluting process in the textile industry. Low quality and uncertain yields increase environmental costs for handling material waste and wastewater, while little research has been done to address the present problem. This study aims to develop a robust green production planning framework to minimize wastewater production and maximize the recycling rate of defective dyed products. To validate the proposed framework, martingale models of forecast evolution were designed to consider yield uncertainty, while a simulation model was developed based on a leading textile company in Taiwan. The results have shown practical viability of the proposed model that can effectively deal with the yield rate uncertainty and reduce production risks with robust performance for both circular supply chain and total resource management. |
| Author Keywords |
Cleaner production; Forecast evolution; Robust planning; Waste reduction; Textile dyeing; Circular supply chain |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001200290400001 |
| WoS Category |
Engineering, Environmental; Environmental Sciences |
| Research Area |
Engineering; Environmental Sciences & Ecology |
| PDF |
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