مشخصات پژوهش

عنوان	A simulation method for Material requirement planning supply dependent demand and uncertainty lead-time
نوع پژوهش	مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها	planned lead-time, periodic order quantity, uncertainty, Monte-Carlo simulation, Probabilistic lead-time
چکیده	Materials requirements planning (MRP) is a widely used method for production planning and scheduling. Planned lead-time (PLT) and lot-size are two of the input parameters for MRP systems, which determine planned order release dates. In this paper deals with material requirement planning for a three levels production and assembly system with several types of components and one type of product, in multi periods. In this paper, we assume that components lead-times are probabilistic. A MRP approach with periodic order quantity (POQ) policy is used for the planning of components. The objective is minimizing sum of the all components holding cost, final product backlogging cost, final product holding cost and setup costs. The main policies in this model determine the periodic order quantity, and planned lead-times. Monte-Carlo simulation is used to generate numerous scenarios based on the components lead-time, and by using Monte-Carlo simulation we can find the suitable solution for this problem.
پژوهشگران	مهدی حیدری (نفر سوم)، احمد ماکویی (نفر دوم)، هیبت اله صادقی (نفر اول)