Material Requirements Planning (MRP) has deficiencies when dealing with current business environments, marked by a more complex network, a huge variety of products with longer lead time, and uncertain demands. This drives Demand-Driven MRP (DDMRP) approach to deal with those challenges. DDMRP is designed to connect the availability of materials and supplies directly from the actual condition using bills of materials (BOMs). Nevertheless, only few studies have scientifically proved the performance of DDMRP over MRP for controlling production and inventory control. Therefore, this research fills this gap by evaluating and comparing the performance of DDMRP and MRP in terms of level of effective inventory in the system. The evaluation was conducted through a simulation using data from an automotive company in Indonesia. The input parameters of scenarios were given for running the simulation. Based on the simulation, for the observed critical parts, DDMRP gave better results than MRP in terms of lead time and inventory level. DDMRP compressed the lead time part from 52 to 3 days (94% reduced) and, overall, the inventory level was in an effective condition. This suggests that DDMRP is more effective for controlling the production-inventory than MRP.
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15 June 2017
GREEN PROCESS, MATERIAL, AND ENERGY: A SUSTAINABLE SOLUTION FOR CLIMATE CHANGE: Proceedings of the 3rd International Conference on Engineering, Technology, and Industrial Application (ICETIA 2016)
7–8 December 2016
Surakarta, Indonesia
Research Article|
June 15 2017
Effective production control in an automotive industry: MRP vs. demand-driven MRP
Mohamad Jihan Shofa;
Mohamad Jihan Shofa
a)
1
Universitas Serang Raya
, Jl. Serang-Cilegon, Banten, Indonesia
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Wahyu Oktri Widyarto
Wahyu Oktri Widyarto
2
Universitas Serang Raya
, Jl. Serang-Cilegon, Banten, Indonesia
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a)
Corresponding author: [email protected]
AIP Conf. Proc. 1855, 020004 (2017)
Citation
Mohamad Jihan Shofa, Wahyu Oktri Widyarto; Effective production control in an automotive industry: MRP vs. demand-driven MRP. AIP Conf. Proc. 15 June 2017; 1855 (1): 020004. https://doi.org/10.1063/1.4985449
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