دانلود مقاله ISI انگلیسی شماره 88808
ترجمه فارسی عنوان مقاله

رویکرد به تعیین نحوه تولید قطعات و واحدهای سازنده محصولات مهندسی در برنامه ریزی فرآیند تولید

عنوان انگلیسی
Approach to Determining Order of Production of Parts and Assembly Units of Engineering Products in Production Process Planning
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
88808 2017 7 صفحه PDF
منبع

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

Journal : Procedia Engineering, Volume 206, 2017, Pages 1515-1521

ترجمه کلمات کلیدی
مهندسی مکانیک، طرح تولید، الگوریتم های اکتشافی ساختار محصول، توالی لایه بندی
کلمات کلیدی انگلیسی
mechanical engineering; production planning; heuristic algorithms; product structure; layering sequencing;
پیش نمایش مقاله
پیش نمایش مقاله  رویکرد به تعیین نحوه تولید قطعات و واحدهای سازنده محصولات مهندسی در برنامه ریزی فرآیند تولید

چکیده انگلیسی

The paper investigates the production planning process. Due to the large dimensions and complex constraints of the production sequencee of parts and assembly units, the process-planning problem belongs to the NP-complex class. The aim of the work was to develop an algorithm that allows forming a feasible schedule, which is close to the optimum, minimizing the length of the production cycle. The authors propose an algorithm for determining the order of the item and assembly processing units of the product to entitle it "Falling Leaves". The algorithm is based on a stratified cutting the end vertices (leaves) of the tree structure of electronic products and ranking the group leaves depending on the duration of the production path. This approach allows us to start the production of products with the parts having the longest production cycle. Computational experiments on the products of varying complexity and the comparison with the existing algorithm have been conducted to determine the order of processing of parts and assembly units at the level of entry into the structure of the product. The results show that the developed algorithm "Falling Leaves" decreases the production cycle of products by 2% to 30%.