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dc.contributor.authorKaur, Harpreet
dc.contributor.authorSingh, Surya Prakash
dc.contributor.authorGarza-Reyes, Jose Arturo
dc.contributor.authorMishra, Nishikant
dc.date.accessioned2018-12-08T10:26:28Z
dc.date.available2018-12-08T10:26:28Z
dc.date.issued2018-12-06
dc.identifier.citationKaur, H. et al. (2018) ‘Sustainable stochastic production and procurement problem for resilient supply chain’, Computers & Industrial Engineering. doi: 10.1016/j.cie.2018.12.007en
dc.identifier.issn0360-8352
dc.identifier.doi10.1016/j.cie.2018.12.007
dc.identifier.urihttp://hdl.handle.net/10545/623201
dc.description.abstractTraditionally business organizations take production and procurement decisions independently. First, the decision is made on product mix and then procurement plan is developed. However, procurement for all the dependent items is computed using bill of material information of independent items. Any market uncertainty in demand of independent items does not only affects production plan but also the procurement process. Also, sustainability is an essential business aspect and must be considered in production and procurement decisions. Hence, there is a need to develop a resilient integrated production and procurement model capable to capture the fluctuating market demand and also uncertainties in production, supplier & carrier capacities. The paper proposes an independent and integrated production and procurement model considering sustainability and uncertainty for a resilient supply chain. Various possible uncertainties such as market demand, machine capacity, supplier and carrier capacities in the presence of carbon emissions is also considered in the proposed models. The paper also proposed a supplier selection model under uncertainty using Fuzzy-MCDM techniques. The proposed models are MILP & MINLP, and are demonstrated using numerical illustrations solved in LINGO 10. The performance analysis is also conducted and it is found that the integrated model will always provide a more efficient optimal solution while traditional independent production & procurement models may even lead to infeasible solution.
dc.description.sponsorshipN/Aen
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S0360835218306120en
dc.subjectResilient procurement model, Product mix, Sustainability, Uncertain demand and capacity, Bill of materials, Mixed integer linear program (MILP), Mixed Integer Non-Linear Program (MINLP), Fuzzy-MCDMen
dc.titleSustainable stochastic production and procurement problem for resilient supply chain.en
dc.typeArticleen
dc.contributor.departmentBirla Institute of Management Technologyen
dc.contributor.departmentIndian Institute of Technology Delhien
dc.contributor.departmentUniversity of Derbyen
dc.contributor.departmentUniversity of Hullen
dc.identifier.journalComputers & Industrial Engineeringen
html.description.abstractTraditionally business organizations take production and procurement decisions independently. First, the decision is made on product mix and then procurement plan is developed. However, procurement for all the dependent items is computed using bill of material information of independent items. Any market uncertainty in demand of independent items does not only affects production plan but also the procurement process. Also, sustainability is an essential business aspect and must be considered in production and procurement decisions. Hence, there is a need to develop a resilient integrated production and procurement model capable to capture the fluctuating market demand and also uncertainties in production, supplier & carrier capacities. The paper proposes an independent and integrated production and procurement model considering sustainability and uncertainty for a resilient supply chain. Various possible uncertainties such as market demand, machine capacity, supplier and carrier capacities in the presence of carbon emissions is also considered in the proposed models. The paper also proposed a supplier selection model under uncertainty using Fuzzy-MCDM techniques. The proposed models are MILP & MINLP, and are demonstrated using numerical illustrations solved in LINGO 10. The performance analysis is also conducted and it is found that the integrated model will always provide a more efficient optimal solution while traditional independent production & procurement models may even lead to infeasible solution.


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