12800

11715

كارشناسي ارشد

سيستم هاي اقتصادي - اجتماعي

اصفهان: دانشگاه صنعتي اصفهان، دانشكده صنايع و مركز برنامه‌ريزي سيستمها

1396

دوازده، 72ص.: مصور، جدول، نمودار

ص.ع. به فارسي و انگليسي

ناصر ملاوردي

رضا حجازي، مهدي علينقيان

1396/06/25

كتابنامه

صنايع و مركز برنامه‌ريزي سيستمها

مهندسي صنايع و سيستم ها

ID11715

ر 4 3 2 زير مساله 48 SP 4 3 3 دوگان زير مساله 48 DSP 4 3 4 جهت هاي شعاعي حدي براي مساله 50 DSP 4 3 5 برش شدني و برش بهينگي 05 4 4 پياده سازي الگوريتم تجزيه بندرز براي مساله خطي استوار شده 15 4 4 1 مساله ي اصلي 51 MP 4 4 2 زير مساله 51 SP 4 4 3 مساله ي دوگان زير مساله 52 DSP 4 4 4 جهت هاي شعاعي حدي براي مساله ي 53 DSP 4 4 5 برش هاي شدني و بهينگي 45 4 5 نتايج عددي 45 4 6 جمع بندي 16 فصل پنجم نتيجه گيري و پيشنهادات 26 5 1 جمع بندي 26 5 2 نوآوري هاي پژوهش 46 5 3 پيشنهاداتي براي پژوهش هاي آينده 46 منابع 56 پيوست 96 چكيده انگليسي 37

73 Integration Of Multi Commodity Supply Chain Network Designing And Assembly Line Balancing With Robust Optimization Approach Salar Rasouli Kia s rasouli@in iut ac ir Department of Industrial and System Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language PersianSupervisor Dr Naser Mollaverdi naserm@cc iut ac irAbstractNetwork Design consists of rational and clear location finding for facilities determiningcapacities and choosing sources for the demand in the network and also determining theway for sending shipments overall the network in order to satisfy the needs of customers inthe lowest possible cost For improving the overall efficiency in the supply chain network there is an essential need for combining and unifying both of the strategic planning andoperational planning because with this implementation there is a much morecomprehensive network design compared to the time when there is no unification of theboth One of the operational decisions that can be implemented in the model is assembly linebalancing In the literature review undertaken for this thesis combining both of the networkdesign and assembly line balancing is scarcely studied also those studies presumed onlyone commodity for assembly line balancing though we already know that there is no suchthing in the real world On the other hand we are faced with uncertainty in the modelproposed in this thesis so in order to tackle with this and also counter the nature ofuncertainty we use and implement the robustness approach through the mathematical model At first the proposed model is mixed integer non linear programming but then we proposethe mixed integer linear programming model By knowing the fact that network design is astrategic programming there is a vital need to use an exact solving approach to encounterthe mathematical model because of the importance and the magnitude of the strategicdecision making and its effect in the long term For this reason we use the BendersDecomposition Algorithm for the proposed model in this thesis BDA is a very efficient anduseful way for solving problems in small medium and large sizes and dimensions At theend we conclude that using BDA is way more efficient and handier in solving differentkinds of problems than the CPLEX solver in GAMS The number of binary variables thatBDA can support according to the size of the problem for this thesis small medium andlarge are 2000 5000 and over 500000 respectively Key Words Network Design Multi Commodity Assembly Line Balancing RobustnessApproach Mixed Integer Programming Benders Decomposition

ناصر ملاوردي

رضا حجازي، مهدي علينقيان