Developing a Multi-Objective Closed-Loop Supply Chain For Meat Distribution Network Considering The Environmental Impact

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dc.contributor.advisorHenni, Amr
dc.contributor.authorHassanzadeh Goocdareh, Amir
dc.contributor.committeememberIbrahim, Hussameldin
dc.contributor.externalexaminerTorabi, Farshid
dc.date.accessioned2019-06-21T19:19:35Z
dc.date.available2019-06-21T19:19:35Z
dc.date.issued2018-09
dc.descriptionA Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Applied Science in Industrial Systems Engineering, University of Regina. xiv, 145 p.en_US
dc.description.abstractIn the past few years, environmental issues have had a critical and an essential role in designing a supply chain network and need to be taken into consideration; many companies and organizations have started employing environmentally sustainable processes in their business and supply networks. On the other hand, the trends show that by the year 2050, the global demand of food may increase as twice as it is now, as the population of the world may reach 9 billion by then. For thousands of years meat has been an important part of human diet as it is recognized as an essential part of an equitable diet by the World Health Organization. Based on what is available in the literature dealing with food supply chain (FSC), one could notice that there is a lack of reverse logistics in this area of study, and closed-loop supply chain (CLSC) design as an integration of forward and reverse logistics has not been paid much attention. This study is conducted as an expansion of the work done by Mohammed and Wang (2017) dealing with a multi-objective closed-loop Green meat supply chain, and an attempt to cover the gap of reverse logistics in their study. To that aim, this work has targeted to design an optimal Green supply chain configuration for meat production network considering both forward and backward (reverse) flow. ɛ-constraint technique, as a classical method for solving multi-objective optimization (MOO) problems, is used to solve the model. The designed CLSC network is modeled by Mixed-Integer Linear Programming. To validate the developed meat supply chain (MSC) network, a real-life case study is provided. Having modeled the case problem, IBM ILOG CPLEX optimization software is used to code it based on the procedure of the proposed method. Computational results are presented, and a complete discussion and sensitivity analysis are performed, which proves that the developed CLSC network is robust enough to be applied to practical CLSC problems, and the performance of the optimization method is quite acceptable to solve such problems.en_US
dc.description.authorstatusStudenten
dc.description.peerreviewyesen
dc.identifier.tcnumberTC-SRU-8853
dc.identifier.thesisurlhttps://ourspace.uregina.ca/bitstream/handle/10294/8853/Hassanzadeh-Goddcdareh_Amir_MASC_ISE_Spring2019.pdf
dc.identifier.urihttps://hdl.handle.net/10294/8853
dc.language.isoenen_US
dc.publisherFaculty of Graduate Studies and Research, University of Reginaen_US
dc.titleDeveloping a Multi-Objective Closed-Loop Supply Chain For Meat Distribution Network Considering The Environmental Impacten_US
dc.typeThesisen
thesis.degree.departmentFaculty of Engineering and Applied Scienceen_US
thesis.degree.disciplineEngineering - Industrial Systemsen_US
thesis.degree.grantorUniversity of Reginaen
thesis.degree.levelMaster'sen
thesis.degree.nameMaster of Applied Science (MASc)en_US
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