A multi-product green supply chain under government supervision with price and demand uncertainty
In this paper, a bi-level game-theoretic model is proposed to investigate the effects of governmental financial intervention on green supply chain. This problem is formulated as a bi-level program for a green supply chain that produces various products with different environmental pollution levels....
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| Published in: | Journal of industrial engineering international Vol. 15; no. 1; pp. 193 - 206 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Heidelberg
Springer
01.03.2019
Springer Berlin Heidelberg Islamic Azad University, South Tehran Branch Islamic Azad University |
| Subjects: | |
| ISSN: | 2251-712X, 1735-5702, 2251-712X |
| Online Access: | Get full text |
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| Summary: | In this paper, a bi-level game-theoretic model is proposed to investigate the effects of governmental financial intervention on green supply chain. This problem is formulated as a bi-level program for a green supply chain that produces various products with different environmental pollution levels. The problem is also regard uncertainties in market demand and sale price of raw materials and products. The model is further transformed into a single-level nonlinear programming problem by replacing the lower-level optimization problem with its Karush-Kuhn-Tucker optimality conditions. Genetic algorithm is applied as a solution methodology to solve nonlinear programming model. Finally, to investigate the validity of the proposed method, the computational results obtained through genetic algorithm are compared with global optimal solution attained by enumerative method. Analytical results indicate that the proposed GA offers better solutions in large size problems. Also, we conclude that financial intervention by government consists of green taxation and subsidization is an effective method to stabilize green supply chain members' performance. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 2251-712X 1735-5702 2251-712X |
| DOI: | 10.1007/s40092-018-0271-9 |