دانلود مقاله ISI انگلیسی شماره 43692
عنوان فارسی مقاله

مساله کنترل زمان فرآوری چندهدفه با محدودیت تصادفی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
43692 2014 12 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Multi-Objective Lead-Time Control Problem with Stochastic Constraints
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of Applied Research and Technology, Volume 12, Issue 5, October 2014, Pages 927–938

کلمات کلیدی
برنامه ریزی چندهدفه - بهینه سازی قوی - کنترل زمان فرآوری - تئوری صف - سیستم مونتاژ پیچیده
پیش نمایش مقاله
پیش نمایش مقاله مساله کنترل زمان فرآوری چندهدفه با محدودیت تصادفی

چکیده انگلیسی

This research intends to find out any development of a robust multi-objective for lead time optimal control problem in a multi-stage assembly system model. Assembly system modeling is possible by the help of the open queue network. A working station includes one or infinite servers and just manufacturing or assembly operations are performed therein. Each part has a separate entry process and independent of each other. It is completely based upon Poisson process.Serving Lead Time of Stations are also independent of each other and therefore exponential distribution of each parameter is controllable. All stations have bounded uncertain unrecyclable wastes which are completely independent in compliance with Erlang distribution. Uncertainty in the problem parameters has been suggested as robust multi-objective optimal control model in which we have three incompatible target functions including cyclic operation cost minimization, average lead time minimization and lead time variance. Finally, target progress method has been applied in order to achieve serving optimal speeds and solve discrete time of the main problem approximately. The proposed model could present a suitable solution even for the same problem as mentioned in other related papers along with some considerable results in parameter uncertainty conditions.

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