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SUMMARY:Gbemileke Ogunranti\, PhD Candidate at Drexel University
DESCRIPTION: \n\nTitle: Models Addressing Sustainability and Risk Issues in
  Global\nSupply Chains\n\nAbstract: Global supply chains have become incre
 asingly complex\,\ninterconnected and interdependent\, thus\, managing thi
 s complexity and\nassociated supply chain risks are key for a firm to gain
  a competitive\nadvantage. While managing supply chain risks are very impo
 rtant to\nfirms\, sustainability has introduced another layer to supply ch
 ain\ncomplexity. Nowadays\, two greatest concerns for supply chain\nexecut
 ives is how to address supply chain risks and sustainability\nissues toget
 her. Thus\, this dissertation explores three important\nstrategic issues i
 n global supply chains. The first strategic issue\ndeals with the design o
 f contracts to mitigate the exchange rate risk\nbetween a buyer and a supp
 lier in global supply chains. Two types of\ncurrency exchange rate flexibi
 lity contracts are proposed to explore\nthe characteristics of exchange ra
 te risk mitigation policies for the\nbuyer and the supplier. Furthermore\,
  the effects of the contract\nstructures on the optimal order quantity\, a
 s well as the expected\nprofits of both supply chain members are investiga
 ted. The second\nmajor issue addressed focuses on the trade-off between su
 pply chain\nsustainability-related risks and low-cost in supplier selectio
 n and\norder allocation problem\, often encountered in outsourcing contrac
 t\nmanufacturing. An integrated model that utilizes principal component\na
 nalysis based approach for evaluating a supplier’s sustainability\nperfo
 rmance and bi-objective mixed integer programming model for\nsuppliers’ 
 selection and order quantity allocation was developed.\nThen\, an illustra
 tive example of outsourcing contract manufacturers in\nthe US apparel indu
 stry was presented to demonstrate the applicability\nof the proposed frame
 work in practice. Finally\, the last strategic\nissue examined in this dis
 sertation is the design of an integrated\nproduction-distribution network 
 to reduce environmental risk\,\nparticularly minimizing carbon emissions f
 rom transportation in the\nentire supply chain. A mixed integer linear pro
 gramming model was\ndeveloped for a three-echelon supply chain network des
 ign problem in a\ndeterministic\, multi-period\, multi-product within a fi
 nite planning\nhorizon. The model minimizes the total supply chain cost an
 d solves\nstrategic\, tactical\, and operational decision-making which inc
 ludes\nlocating distribution centers\, how much quantity of each product t
 o\nproduce\, the frequency of flow of delivery truck\, as well as the\nall
 ocation in each echelon of the supply chain. A numerical study was\nconduc
 ted through example problems to demonstrate the applicability of\nthis mod
 el and gain some managerial insights.\n 
DTSTART:20190503T180000Z
DTEND:20190503T190000Z
LOCATION:Gerri C. LeBow Hall\, 3220 Market Street\, 409\, Philadelphia\, PA
  19104
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