Key to Solve Nervous System at PT. Schneider Electric Manufacturing Batam

Gracia Vicki Widarso(1*), Jani Rahardjo(2),


(1) Jurusan Teknik Industri Universitas Kristen Petra
(2) Jurusan Teknik Industri Universitas Kristen Petra
(*) Corresponding Author

Abstract


PT. Schneider Electric Manufacturing Batam is an industry that concern in electrical component. There is a team in this company that conduct a Master Production Planning (MPP) and vendor forecast, the MPP is a production planning that contain several constrains. But there is a missing constrain, is a warehouse capacity. By using DMAIC approach this project was started. In this project, there is a tools that can control the inventory level at SEMB’s warehouse (Batam Logistics Platform/BLP). With this tools, we can be knowing the utilization rate of the warehouse for six months ahead and knowing the most contribute of the warehouse base on supplier view and commodity view. Available capacity in BLP is 10,412.70 m3 with contain 47 rows. Then the utilization rate of warehouse in May until June is about 63%-69% when demand is in low level. The utilization rate warehouse in May until June when demand is in stable level is about 44%-54%. And when demand is in high level, the utilization rate is about 34%-48%. The additional information is to knowing the suppliers which use 80% space of warehouse capacity and the commodity. There are 35 suppliers and there are 8 commodities that use more space in warehouse.


Keywords


MPP, Vendor Forecast, Warehouse, DMAIC, Inventory

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References


Simchi-Levi, D., Kaminsky, P., Simchi-Levi, E., & Shankar, R. (n.d.). Designing and Managing the Supply Chain. The McGraw-Hill Companies.

Richards, G. (2014). Warehouse Management. Kogan Page.

Montgomery, D. C. (2009). Introduction to Statistical Quality Control. Wiley.

Hill, A. V. (2012). The Encyclopedia of Operations Management. New Jersey: Pearson Education, Inc.


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