دانلود مقاله ISI انگلیسی شماره 88845
ترجمه فارسی عنوان مقاله

بهینه سازی مشترک برنامه ریزی تولید و تنظیم ظرفیت سیستم مونتاژ

عنوان انگلیسی
Joint Optimization of Production Planning and Capacity Adjustment for Assembly System
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
88845 2017 6 صفحه PDF
منبع

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

Journal : Procedia CIRP, Volume 62, 2017, Pages 193-198

ترجمه کلمات کلیدی
برنامه ریزی پرونده، ظرفیت تنظیممنت، روش سطح پاسخ، بهینه سازی مشترک،
کلمات کلیدی انگلیسی
Prodction planning; Capacity adjustmnet; Response surface methodology; Joint optimization;
پیش نمایش مقاله
پیش نمایش مقاله  بهینه سازی مشترک برنامه ریزی تولید و تنظیم ظرفیت سیستم مونتاژ

چکیده انگلیسی

Manufacturing companies are confronted with increasing market volatility, which is characterized by the increasing of product variants and decreasing of production volume of each variant to meet customers’ demands. To stay competitive and to fulfill quickly changing market needs, manufacturing companies have to cope with rapidly changing customer demands concerning product types, quantities and delivery dates and have the ability to enable a fast modification and system-change of future manufacturing systems. Production planning and control must compensate the resulting fluctuations in capacity demand. This paper deals with a problem of joint optimization of production planning and capacity adjustment based on products specifications, delivery time constraints and reconfigurable machines capabilities for assembly systems. At the production planning level, the production planning problem consists in a multi-product capacitated lot-sizing problem. At the capacity adjustment level, the machine can be reconfigured to meet the changing needs in terms of capacity and functionality. In this context, the same machine can be modified in order to perform different tasks depending on the offered axes of motion in each configuration and the availability of tools. The main objective of this paper is to determine simultaneously the economic production quantity of each product variants and the optimal capacity of assembly systems to ensure the adherence to delivery dates. A stochastic mathematical model is developed and solved using a simulation optimization approach based on the response surface methodology. The obtained results show clearly strong interactions between production quantity, delivery time constraints and capacity of assembly line which confirm the necessity of jointly considering production planning and capacity adjustment in an integrated model.