تطوير نظام خبير لتصميم نظام التصنيع الخلوي وجدولته : دراسة حالة في الشركة العامة للصناعات الكهربائية == Improvement Expert System To Design Cellular Manufacturing System & Schedule It A Case Study At General Electric Industries Corporation
Author name:
علي محمد جسام الجبوري
Supervisor name:
صباح مجيد سعيد النجار | زهير عيسى الداوود
General topic:
Administration and Economics
Specific topic:
Business Administration
Degree:
Doctorate
University:
University of Baghdad - Faculty Of Administration And Economics - Department Of Business Administration
Language:
Arabic
University location:
Baghdad
First pages:
07T3895 - p.pdf
Abstract:
تواجه الشركات الصناعية منافسة شديدة على المستوى المحلي والعالمــي، تمثلت هذه المنافسة في تخفيض الكلف الى ادنى مستوى ممكن للوصول الى سعر تنافسي يحقق للشركة اكبر حصة سوقية، مع الاخذ بالاعتبار مسالة تحسين الجودة التي تلبي حاجات الزبون ورغباته، ومن اجل الوصو | Manufacturing companies face a great competition in both local and international level, this competition was represented by decreasing the costs to the possible minimum levels in order to come about a competitive price that achieves the largest market participation to the company taking in consideration improving the quality of products to meet the needs and wishes of costumers and to reach to the product flexibility which is usually related to the functional manufacturing systems and to raise the production efficiency related to the quantities production, therefore it was recommended to use cellular manufacturing system since it is one of the successful eateries. This system is based on the idea of gathering different machines in groups so as to treat the group of similar parts, which results in the formation of semi - independent manufacturing cells. The aim of the study is to design a system called (IESCMSS) which depends in the expert as one of the artificial intelligence technologies and this system consists of two parts, the first one is interested in generating different solution to the problem of the formation of manufacturing cells by using a group of cell formation methods. This part also presents advice to the user about doing possible changes and evaluating according to the group of efficiency measures for cell formation to choose the best method. The second part of the system acted on loading the work orders on the cell in order to estimate the energy of both machines and cells, and applying a group of the rules of scheduling the cellular manufacturing system and comparing between them according to a group of measures that evaluate the activity of scheduling rules and recognizing the performance of each rule to choose the best one. The expert systems was designed depending on the (Visual Basic) language which is considered the suitable environment to design advanced programs and to verify the possibility of applying those programs to obtain quick and precise results. The scientific importance of this study was originated from its humble participation to fill the gap in the process of treating the problem of the formation of manufacturing cells and scheduling them as well. The study has depended on the case study manner as a method to know the results of managing the expert system (IESCMSS). The study sample were taken from Tammooz air conditioner factory. The most important conclusions of the study were : the AVV method in forming manufacturing cells exceeded the other methods in view of the group of formation efficiency measures. The results of applying the expert system showed a new method in doing the process of reassignment to the machines and the parts quickly and precisely in addition achieving accuracy and quickness in doing the processes of loading and scheduling to each cell generated from the application of formation methods
