Designing an Optimal Control Model of Finite Capacity, Multi-stage Continuous MRP System Considering Delay in Production Lead Time and the Possibility of Reworking and Recycling

Journal of Systems Thinking in Practice

مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 18 مرداد 1404

نوع مقاله: Research Article

شناسه دیجیتال (DOI): 10.22067/jstinp.2025.94678.1164

نویسندگان

Mahdi Miri¹؛ Alireza Pooya^{* 2}؛ Morteza Pakdaman³

¹Department of Management, Ferdowsi University of Mashhad, Mashhad, Iran

²Department of Management, Ferdowsi University of Mashhad

³Atmospheric Science and Meteorological Research Center (ASMERC), Climatological Research Institute (CRI), Mashhad, Iran.

چکیده

In this paper, we propose a multi-stage continuous- MRP system using an optimal control model, considering the production lead time. In the proposed model, the lead time is given for ordering the work in process during the second stage and final product manufacturing. Also, the intended dynamical system is a multi-stage production-inventory system that follows a linear-quadratic optimal control model with a time delay for the state variables. In the proposed system, inventories are considered state variables, and the delivery levels and orders are control variables. The return stage is considered for items whose production has been defective; according to their situations, there are three destinations for them send to the reworking stage, the recycling stage, and disposal. The amount of shipment to the next stage of production is based on their BOM utilization coefficient and the inventory one. This stage will consume all sent items at any time and will not create a surplus inventory. In this paper, time is considered a continuous parameter proportional to the continuous production processes. For validation, the proposed optimal control model was simulated in a real study in the polymer industry.

کلیدواژه‌ها

Optimal Control؛ Continuous Material Requirements Planning (CMRP)؛ Deteriorating Items؛ Lead Time؛ Reworking؛ Recycling