Tackling Uncertain Performances of Multiple Stakeholders in the Design and Optimization of Decentralized Supply Chains
Supply chains are normally managed in a decentralized way by multiple stakeholders pursuing distinct objectives. However, most existing supply chain studies rely on centralized models and neglect the uncertain behaviors of stakeholders in the decision-making process. In this work, a novel game theor...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2018-08-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/443 |
| _version_ | 1811189840285270016 |
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| author | Jiyao Gao Fengqi You |
| author_facet | Jiyao Gao Fengqi You |
| author_sort | Jiyao Gao |
| collection | DOAJ |
| description | Supply chains are normally managed in a decentralized way by multiple stakeholders pursuing distinct objectives. However, most existing supply chain studies rely on centralized models and neglect the uncertain behaviors of stakeholders in the decision-making process. In this work, a novel game theory based stochastic model is proposed that integrates two-stage stochastic programming with a single-leader-multiple-follower Stackelberg game scheme. The aim is to address the optimization problem of decentralized supply chains considering multiple stakeholders under uncertainty. The resulting model is formulated as a stochastic mixed-integer bilevel nonlinear program, which can be further reformulated into a tractable single-level stochastic mixed-integer linear program by applying KKT conditions and Glover’s linearization method. To illustrate the applicability of proposed modeling framework, a case study of a large-scale shale gas supply chain is presented, which demonstrates the advantages of the proposed modeling framework and efficiency of the solution algorithm. |
| first_indexed | 2024-04-11T14:40:30Z |
| format | Article |
| id | doaj.art-5203daa6c03543449b14c9935ebf903a |
| institution | Directory Open Access Journal |
| issn | 2283-9216 |
| language | English |
| last_indexed | 2024-04-11T14:40:30Z |
| publishDate | 2018-08-01 |
| publisher | AIDIC Servizi S.r.l. |
| record_format | Article |
| series | Chemical Engineering Transactions |
| spelling | doaj.art-5203daa6c03543449b14c9935ebf903a2022-12-22T04:17:57ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162018-08-017010.3303/CET1870013Tackling Uncertain Performances of Multiple Stakeholders in the Design and Optimization of Decentralized Supply ChainsJiyao GaoFengqi YouSupply chains are normally managed in a decentralized way by multiple stakeholders pursuing distinct objectives. However, most existing supply chain studies rely on centralized models and neglect the uncertain behaviors of stakeholders in the decision-making process. In this work, a novel game theory based stochastic model is proposed that integrates two-stage stochastic programming with a single-leader-multiple-follower Stackelberg game scheme. The aim is to address the optimization problem of decentralized supply chains considering multiple stakeholders under uncertainty. The resulting model is formulated as a stochastic mixed-integer bilevel nonlinear program, which can be further reformulated into a tractable single-level stochastic mixed-integer linear program by applying KKT conditions and Glover’s linearization method. To illustrate the applicability of proposed modeling framework, a case study of a large-scale shale gas supply chain is presented, which demonstrates the advantages of the proposed modeling framework and efficiency of the solution algorithm.https://www.cetjournal.it/index.php/cet/article/view/443 |
| spellingShingle | Jiyao Gao Fengqi You Tackling Uncertain Performances of Multiple Stakeholders in the Design and Optimization of Decentralized Supply Chains Chemical Engineering Transactions |
| title | Tackling Uncertain Performances of Multiple Stakeholders in the Design and Optimization of Decentralized Supply Chains |
| title_full | Tackling Uncertain Performances of Multiple Stakeholders in the Design and Optimization of Decentralized Supply Chains |
| title_fullStr | Tackling Uncertain Performances of Multiple Stakeholders in the Design and Optimization of Decentralized Supply Chains |
| title_full_unstemmed | Tackling Uncertain Performances of Multiple Stakeholders in the Design and Optimization of Decentralized Supply Chains |
| title_short | Tackling Uncertain Performances of Multiple Stakeholders in the Design and Optimization of Decentralized Supply Chains |
| title_sort | tackling uncertain performances of multiple stakeholders in the design and optimization of decentralized supply chains |
| url | https://www.cetjournal.it/index.php/cet/article/view/443 |
| work_keys_str_mv | AT jiyaogao tacklinguncertainperformancesofmultiplestakeholdersinthedesignandoptimizationofdecentralizedsupplychains AT fengqiyou tacklinguncertainperformancesofmultiplestakeholdersinthedesignandoptimizationofdecentralizedsupplychains |