پديد آورنده :
تسليمي، الهام
عنوان :
عدم قطعيت در انتخاب تامين كننده و تخصيص سفارش به آن در زنجيره تامين
مقطع تحصيلي :
كارشناسي ارشد
محل تحصيل :
اصفهان : دانشگاه صنعتي اصفهان ،دانشكده صنايع و سيستم ها
صفحه شمار :
[ نه ]، [112]، [II] ص. : جدول، نمودار
يادداشت :
ص. ع. به : فارسي و انگليسي
توصيفگر ها :
تقاضاي مشتري , ظرفيت تامين كننده , فاصله زماني تحويل محصول , الگوريتمSA
تاريخ نمايه سازي :
21/7/1387
استاد داور :
محمد سعيد صباغ
دانشكده :
مهندسي صنايع و سيستم ها
چكيده فارسي :
به فارسي و انگليسي : قابل رويت در نسخه ديجيتال
چكيده انگليسي :
AbstractConsidering to the key rule supplier performance on the cost quality on time delivery andlevel of services and also considering to we can not attain to a production with high qualityand at least of cost without to have a satisfactory set of supplier so supplier selection andit s order allocation is one of the most important critical activities of purchasingmanagement in a supply chain Furthermore in real situations about supplier selection and it s order allocation many ofinput information such as customer demand supplier capacity for production supplierdelivery and etc are not precise exactly So we can not use from a certain model in thissituations fuzzy set theory acts as a suitable tool for handling of uncertainty To solve problem of uncertainty in supplier selection and it s order allocation in supplychain has proposed a MIP model which follows two objectives in the from of Chance Constrained programming The objective functions consist of minimizing of costs andmaximizing total value of purchasing Limitations is consist of applying allowed limit onsupplier delivery number of suppliers who select for supply a product supplier capacityand transportation capacity and satisfying the customer demand It is supposed that to make decision customer demand supplier capacity and supplierdelivery are fuzzy parameters To solve fuzzy programming has been used from chance constrained programming Chance constrained programming is solved by fuzzy simulation based genetic algorithmand fuzzy simulation based simulated annealing The result has been compared and analyzed According to the obtained results the firstmethod act better than the other from objective function point of view But for complexproblems fuzzy simulation is more suitable than one from run time point of view
استاد داور :
محمد سعيد صباغ
