این مقاله ISI به زبان انگلیسی از نشریه الزویر مربوط به سال ۲۰۱۸ دارای ۷ صفحه انگلیسی با فرمت PDF می باشد در ادامه این صفحه لینک دانلود رایگان مقاله انگلیسی و بخشی از ترجمه فارسی مقاله موجود می باشد.
کد محصول: M774
سال نشر: ۲۰۱۸
نام ناشر (پایگاه داده): الزویر
تعداد صفحه انگلیسی: ۷ صفحه PDF
مقاله انگلیسی ۲۰۱۸: اندازه گیری بهره وری در سیستم های تولیدی
Productivity Measurement of Manufacturing System
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As industrialization has taken a great place in our world and also the competitiveness among industry is increasing day by day, so every industry is in a way of manufacturing products of high quality at low cost with a priority of delivering product to customers in stipulated time span. Every industry uses a system to manufacture the product.
Therefore, industry needs a manufacturing system which is capable to produce the high quality product in the minimum input. This can be achieved by keeping the manufacturing system productivity high. Hence Productivity measurement is essential to measure the performance of the manufacturing system. In this present work we are developing the methodology to measure the productivity of manufacturing systems Therefore, we are proposing a mathematical model for productivity measurement of manufacturing system such as dedicated system, cellular system and flexible manufacturing system which are capable of producing mass and batch type product. Further the productivity is considered as one of the significant factor for performance measurement of manufacturing systems. The present work include the development of model for the measurement of productivity for the three manufacturing system followed by the case study for the application of the proposed model.
Keywords: Manufacturing system, Productivity, case study, series- parallel models.
The advancement of economy of any country is sustained by development of its manufacturing industries. Currently the manufacturing firms are passing through a period of very strong competition. Now a day’s industries are using different manufacturing system, these are such as Dedicated Manufacturing system, Cellular Manufacturing System and Flexible Manufacturing system. The output of the manufacturing system depends upon the various factors.
These factors include the production rate, the quality of the product and flexibility of the system. The production rate is greatly depends upon the productivity of the system, where as the quality is related with the conformance of produced product with the available quality standards. The system flexibility is greatly depends upon the responsiveness of the system with respect to changeover in the product or product specification therefore these factors are considered as the performance parameters for measuring overall performance of the manufacturing system.
As stated above the productivity is to be considered as one the key factor or measuring the performance of the manufacturing system. Lieberman and Kang  showed that public financial data can establish productivity measure to give a suitable measure of industrial performance than profit rates only. four decades ago POSCO was established by Korean steelmaker which is considered as world’s most profitable and well-organized steel producer, and their analysis shows that POSCO has better record of good profitability and labor productivity.
They applied productivity methods to assess the historical performance record of POSCO. David N. card  discuses the key considerations for defining on effective productivity measure. It also explore the relationship between quality and productivity. Sonand Park  quantified and incorporated the Productivity, quality and flexibility measures. The conventional productivity measure was developed so that it could be used in integrated manufacturing production systems.. These three measures were integrated for the evaluation of a manufacturing system. They improved the conventional productivity measures for use in IMPS as a whole.
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