Fasil Kebede Tesfaye1*, Ayitenew Mogninet Getaneh2 and Mequanint Birhan Alem3
1Department of Mechanical Engineering, Mizan Tepi University, Teppi Illubabur, Ethiopia
2Department of Mechanical Engineering, Mizan Tepi University, Teppi Illubabur, Ethiopia
3Department Industrial and Mechanical Engineering Lecturer, Mizan Tepi University, Teppi Illubabur, Ethiopia
*Corresponding Author: Fasil Kebede Tesfaye, Department of Mechanical Engineering, Mizan Tepi University, Teppi Illubabur, Ethiopia.
Received: March 02, 2023; Published: May 12, 2023
Manufacturing companies have traditionally controlled their parts using the reorder point (ROP) technique. They gradually realized that some of these components had dependent demand, and material requirements planning (MRP) evolved to better control the dependent items. The method known as "material requirement planning" uses the bill of materials, inventory data, and a master schedule to figure out how much material is required. It also takes into account the relationship between assembly lead times and the organizational structure of the bill of materials. For each item in the bill of materials structure, an MRP plan generates a material plan that specifies the quantity of fresh material required as well as the due date. Dates on the new schedule for the materials that are currently on order if routings with specific labor requirements are available, a capacity plan will be created concurrently with the MRP material plan. The MRP plan can be executed for any number of entities, including distributor inventories, if the system has access to this type of data. These entities may be physically distinct stocks. MRP seeks the best possible balance of maximizing service level, lowering expenses, and avoiding capital lockup. In this paper, we attempt to depict a real-world MRP problem and show how it aids in cost- and service-level optimization.
Keywords:Optimization; Inventory; Bill of Material; Planning for Product Specifications; Master Timetable
Citation: Fasil Kebede Tesfaye., et al. “Scientific Study of Material Need Planning that is Simple and Direct". Acta Scientific Applied Physics 3.6 (2023): 26-31.
Copyright: © 2023 Fasil Kebede Tesfaye., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.