A fuzzy bi-level optimization model for multi-period post-disaster relief distribution in sustainable humanitarian supply chains

In the aftermath of large-scale natural disasters, supply shortage and inequitable distribution cause various losses, hindering humanitarian supply chains’ performance. The optimal decisions are difficult due to the complexity arising from the multi-period post-disaster consideration, uncertainty of...

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Veröffentlicht in:	International journal of production economics Jg. 235; S. 108081
Hauptverfasser:	Cao, Cejun, Liu, Yang, Tang, Ou, Gao, Xuehong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.05.2021 Elsevier Science Publishers
Schlagworte:	Analysis Business schools Case studies Disaster relief Earthquakes Fuzzy bi-level integer programming model Hierarchical decisions Hybrid global criterion method Logistics Multi-period post-disaster relief distribution Natural disasters Sustainable development Sustainable humanitarian supply chains Fuzzy bi-level integer programming model Hierarchical decisions Hybrid global criterion method Sustainable humanitarian supply chains Multi-period post-disaster relief distribution
ISSN:	0925-5273, 1873-7579, 1873-7579
Online-Zugang:	Volltext
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Abstract	In the aftermath of large-scale natural disasters, supply shortage and inequitable distribution cause various losses, hindering humanitarian supply chains’ performance. The optimal decisions are difficult due to the complexity arising from the multi-period post-disaster consideration, uncertainty of supplies, hierarchal decision levels and conflicting objectives in sustainable humanitarian supply chains (SHSCs). This paper formulates the problem as a fuzzy tri-objective bi-level integer programming model to minimize the unmet demand rate, potential environmental risks, emergency costs on the upper level of decision hierarchy and maximize survivors’ perceived satisfaction on the lower level of decision hierarchy. A hybrid global criterion method is devised to incorporate a primal-dual algorithm, expected value and branch-and-bound approach in solving the model. A case study using data from the Wenchuan earthquake is presented to evaluate the proposed model. Study results indicate that the hybrid global criterion method guides an optimal strategy for such a complex problem within a reasonable computational time. More attention should be attached to the environmental and economic sustainability aspects in SHSCs after golden rescue stage. The proposed bi-level optimization model has the advantages of reducing the total unmet demand rate, total potential environmental risks and total emergency costs. If the decision-agents with higher authorities act as the leaders with dominant power in SHSCs, the optimal decisions, respectively taking hierarchical and horizontal relationships into account would result in equal performance. •Sustainable multi-period relief distribution with fuzzy supplies was proposed.•Social, environmental, and economic sustainability were simultaneously considered.•The problem was formulated as a fuzzy tri-objective bi-level optimization model.•Social objectives should be prioritized in the golden rescue stage.•Environmental and economic objectives are the focus after the initial rescue stage.
AbstractList	In the aftermath of large-scale natural disasters, supply shortage and inequitable distribution cause various losses, hindering humanitarian supply chains’ performance. The optimal decisions are difficult due to the complexity arising from the multi-period post-disaster consideration, uncertainty of supplies, hierarchal decision levels and conflicting objectives in sustainable humanitarian supply chains (SHSCs). This paper formulates the problem as a fuzzy tri-objective bi-level integer programming model to minimize the unmet demand rate, potential environmental risks, emergency costs on the upper level of decision hierarchy and maximize survivors’ perceived satisfaction on the lower level of decision hierarchy. A hybrid global criterion method is devised to incorporate a primal-dual algorithm, expected value and branch-and-bound approach in solving the model. A case study using data from the Wenchuan earthquake is presented to evaluate the proposed model. Study results indicate that the hybrid global criterion method guides an optimal strategy for such a complex problem within a reasonable computational time. More attention should be attached to the environmental and economic sustainability aspects in SHSCs after golden rescue stage. The proposed bi-level optimization model has the advantages of reducing the total unmet demand rate, total potential environmental risks and total emergency costs. If the decision-agents with higher authorities act as the leaders with dominant power in SHSCs, the optimal decisions, respectively taking hierarchical and horizontal relationships into account would result in equal performance. •Sustainable multi-period relief distribution with fuzzy supplies was proposed.•Social, environmental, and economic sustainability were simultaneously considered.•The problem was formulated as a fuzzy tri-objective bi-level optimization model.•Social objectives should be prioritized in the golden rescue stage.•Environmental and economic objectives are the focus after the initial rescue stage. In the aftermath of large-scale natural disasters, supply shortage and inequitable distribution cause various losses, hindering humanitarian supply chains? performance. The optimal decisions are difficult due to the complexity arising from the multi-period post-disaster consideration, uncertainty of supplies, hierarchal decision levels and conflicting objectives in sustainable humanitarian supply chains (SHSCs). This paper formulates the problem as a fuzzy tri-objective bi-level integer programming model to minimize the unmet demand rate, potential environmental risks, emergency costs on the upper level of decision hierarchy and maximize survivors? perceived satisfaction on the lower level of decision hierarchy. A hybrid global criterion method is devised to incorporate a primal-dual algorithm, expected value and branch-and-bound approach in solving the model. A case study using data from the Wenchuan earthquake is presented to evaluate the proposed model. Study results indicate that the hybrid global criterion method guides an optimal strategy for such a complex problem within a reasonable computational time. More attention should be attached to the environmental and economic sustainability aspects in SHSCs after golden rescue stage. The proposed bi-level optimization model has the advantages of reducing the total unmet demand rate, total potential environmental risks and total emergency costs. If the decision-agents with higher authorities act as the leaders with dominant power in SHSCs, the optimal decisions, respectively taking hierarchical and horizontal relationships into account would result in equal performance.
ArticleNumber	108081
Audience	Trade
Author	Cao, Cejun Liu, Yang Tang, Ou Gao, Xuehong
Author_xml	– sequence: 1 givenname: Cejun surname: Cao fullname: Cao, Cejun organization: School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing, 400067, PR China – sequence: 2 givenname: Yang orcidid: 0000-0001-8006-3236 surname: Liu fullname: Liu, Yang email: yang.liu@liu.se organization: Department of Management and Engineering, Linköping University, SE-581 83 Linköping, Sweden – sequence: 3 givenname: Ou surname: Tang fullname: Tang, Ou organization: Department of Management and Engineering, Linköping University, SE-581 83 Linköping, Sweden – sequence: 4 givenname: Xuehong surname: Gao fullname: Gao, Xuehong organization: School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, 100083, PR China
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Keywords	Fuzzy bi-level integer programming model Hierarchical decisions Hybrid global criterion method Sustainable humanitarian supply chains Multi-period post-disaster relief distribution
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Snippet	In the aftermath of large-scale natural disasters, supply shortage and inequitable distribution cause various losses, hindering humanitarian supply chains’... In the aftermath of large-scale natural disasters, supply shortage and inequitable distribution cause various losses, hindering humanitarian supply chains?...
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SubjectTerms	Analysis Business schools Case studies Disaster relief Earthquakes Fuzzy bi-level integer programming model Hierarchical decisions Hybrid global criterion method Logistics Multi-period post-disaster relief distribution Natural disasters Sustainable development Sustainable humanitarian supply chains
Title	A fuzzy bi-level optimization model for multi-period post-disaster relief distribution in sustainable humanitarian supply chains
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