پديد آورنده :
شيرين فر، مصطفي
عنوان :
يك الگوريتم ژنتيك كارا براي مساله طراحي سيستم هاي سلولي با در نظر گرفتن مسير قابل اطمينان
مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
مهندسي صنايع
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده صنايع و سيستم ها
صفحه شمار :
دوازده،116ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد مشاور :
رضا توكلي مقدم
توصيفگر ها :
توليد سلولي , الگوريتم هاي فرا ابتكاري
تاريخ نمايه سازي :
25/5/90
استاد داور :
علي شاهنده، مهدي بيجاري
دانشكده :
مهندسي صنايع و سيستم ها
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
117 An Efficient Genetic Algorithm to the Cell Formation Problem With Reliable Route Consideration Mostafa Shirinfar m shirinfar@in iut ac ir Date of Submission 05 2 2011 Department of Industrial and Systems Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisors Hasan Haleh hhaleh@cc iut ac ir Abstract The first stage of designing a cellular manufacturing system CMS is to from cells within the system This cell formation CF creates completely independent machine cells identifies part families andallocates part families to machine cells in order to minimize operational costs consisting of machine andmaterial handling costs Considering this costs makes the CF more realistic However the existing cellformation methods assume that all machines are always available In the real world situation manufacturing facilities are subject to deterioration and obsolescence due to malfunction breakdown orfailure Machine failure affects the CMS performance by interrupting production activities especially fromthe scheduling point of view in this situation for timely satisfaction of demands and reduction of work in process WIP inventories a principal goal is to increase the system reliability with respect to the failurerate of manufacturing facilities because of the dynamic nature of production systems the effects ofmachine breakdown are different manufacturing situations This research proposes a mixed integer nonlinear programming model for designing a cellularmanufacturing system that minimizes the total costs of manufacturing operations machine under utilization inter cell material handling and intra cell material handling setup and breakdown withreliability consideration In general it is impossible to avoid production interruptions while handling machine breakdowns Inthe situation changing the process road dynamically can provide quick response to meet productionrequirements By assuming alternative process plan for operation part requirements the concept of thereliable road is extended In a redundant reliability system with a series parallel configuration each reliableroute is associated with and operation of a part as a parallel subsystem This route consists of a number of units or alternative machines allocated to cells in such a way thatparts are processed with the maximum reliability for a given period of time When an alternative machinebreaks down on processed parts are transferred to the next pre determined machine on the reliable route inorder to complete reliable route approach increases the overall system reliability In this research an efficient genetic algorithm is proposed to solve the cell formation problem Withreliable road and machine reliability considerations computational experiences form test problem show thatthe proposed approach is extremely effective and efficient Finally the related computational results arereported Keywords Cellular Manufacturing System Series parallel Redundant Reliability System ReliableRoute Genetic Algorithm
استاد مشاور :
رضا توكلي مقدم
استاد داور :
علي شاهنده، مهدي بيجاري
