تعیین ترکیب تولید در محیط چند گلوگاهی با استفاده از روش ویکور فازی
محورهای موضوعی : مدیریت صنعتیKianush kivan Behjoo 1 , Seyed Amin Badri 2 , Hassan Haleh 3
1 - M.S in Industrial Engineering, Gazvin Branch, Islamic Azad University, Qazvin, Iran
2 - M.A Student in Management, Allameh Tabatabaei University, Tehran, Iran
3 - Assistant Professor in Industrial Engineering, Gazvin Branch, Islamic Azad University, Gazvin, Iran
کلید واژه: خلاقیت, تاپسیس فازی, نوآوری سازمانی, مؤلفه های نوآوری, Optimizing product mix, Several lines of a bottleneck, Fuzzy Vikor (Fvikor),
چکیده مقاله :
تعیین ترکیب تولید، یکی از مهمترین تصمیماتی است که باید در سیستم‌های تولیدی گرفته شود. بدان معنی که از کدام محصول و به چه مقدار باید تولید شود تا خروجی نهایی سیستم، افزایش یابد. در الگوریتم‌های موجود، غالباً تمام پارامترهای مسأله، قطعی فرض شده و تصمیم‌گیری انجام می‌گیرد. در این مقاله حالتی مورد بررسی قرار می‌گیرد که در آن کلیه پارامترهای تولیدی به صورت اعداد فازی مثلثی می‌باشند. پارامترهای تولیدی، تقاضای هفتگی، قیمت فروش، هزینه مواد خام، زمان پردازش محصولات و ظرفیت در دسترس منابع را شامل می‌شوند. در الگوریتم پیشنهادی، با در نظر گرفتن چند گلوگاه، به کمک روش ویکور فازی، رتبه‌بندی محصولات جهت تولید مشخص می‌شوند. سپس مقدار تولید هر محصول محاسبه می‌گردد. در پایان نیز برای تشریح روش پیشنهادی، یک مثال عددی مورد بررسی قرار می‌گیرد.
One of the most important decisions that must be made in production systems is determining the product mix. That means which and how much of the product should be made from it in order to increase the final output of the system. Often, in previously existing algorithms, all problem parameters are assumed to be certain and decision-making used to be carried out. The situation studied in this paper is that all the production parameters are in the form of triangular fuzzy numbers. Those production parameters include weekly demand, selling price, cost of raw materials, the processing time of products and the available capacity of resources. In the proposed algorithm, considering the multi-bottleneck, with the help of fuzzy Vikor, the prioritization of production is calculated. Finally, in order to explain the aforementioned method, a numerical example has been discussed.
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