موازنة خط التجميع المتعدد باستخدام خوارزميتي الاوزان الموقعية المرجحة وكومسوال : دراسة حالة لخط الخياطة في معمل (7) - الشركة العامة للصناعات الجلدية - بغداد == Balancing The Multi Assembly Line By Using Ranked Positional Weight And Comsoal Algorithms Case Study At The Sewing Line Factory (7) /The General Company For Leather Industries (Gcli/ Baghdad
Author name:
هالة حمد ماجود
Supervisor name:
صباح مجيد سعيد النجار
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:
07T4137 - p.pdf
Abstract:
قدم المهتمون في حقل ادارة الانتاج والعمليات الكثير من الدراسات والبحوث العلمية التي سعت الى تطوير اساليب وطرائق معالجة مشكلات عدم توازن خطوط التجميع بانواعها. وصنفت تلك الاساليب والطرائق ما بين الخوارزميات الاجتهادية وما فوق الاجتهادية والاجراءات الدقيقة | Experts in the field of output Production and Operation Management have presented many research studies to develop new techniques to tackle problems related to the imbalance of all types of assembly lines. These techniques, however, have been categorized as discretionary algorithms, over discretionary and precise and developed procedures. The ever increasing interest in the problems of assembly lines imbalance underscores the key role of this type of problems and its marked impact on the reality of assembly processes and line output. In this respect, the imbalance problems of the multi assembly type become one of the most complicated due to the nature and characteristics of these lines. The question this research tackles is how to choose the appropriate procedure that includes the nature of the processes of the multi assembly type represented in this research by the sewing line of factory no. 7. The balance of this output line does not pursue any scientific rules to be followed, rather, it is subject to the individual’s discretion which consequently created idle times at the work stations and led to low output of the line and this does not meet the company plans of output levels, in addition to creating time fluctuations and stochastic duty timings task times of the research subjects of 7 models produced at the sewing line during 2009. In the light of these indications, the author has devised a flexible simulation model that helps to include these changes and to deal with the imbalance problems of the sewing output line utilizing the probable systematic uniform distribution to create duty task times for each model. Working on the simulation model depends on the results of specifying the duties on the work stations in accordance with algorithms of the discretionary methods (Ranked Positional Weight and COMSOAL). Based on the outcome, the results were obtained by employing a number of applicable performance measures and standards to assembly lines among which are (output cycle time, average output per hour, rate of the line efficiency, rate of line idle time, and duration of line idle and lost times). Next, all the results obtained from the real work situation were analyzed and compared with the simulation model results for each algorithm and the 3 hypotheses of the research were tested put to test. The research has reached a number of conclusions that have proved the validity of the simulation model to address the problem and to achieve the sewing line balance through introducing possible alternatives with regard to the duty stochastic task times. It is quite clear that the applied algorithms have effective impact on achieving better results to enhance and to improve the lines line's efficiency and maximize its output in comparison with the real condition of the line. This research recommends that the application of the model simulation model technique be applied, as an appropriate procedure to address the balance problems of the multi assembly lines, and be combined with an applicable algorithm as this model is able to efficiently deal with the changeability and stochasticity of the line through applying a scientific procedure to specify and distribute the duties tasks on the work stations.
