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Analysis Inventory of Consumable Goods Using Min-Max Method at Universitas Pertamina Nurma Irfan Romadhon; Iwan Sukarno; Mirna Lusiani
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 1 No 1 (2022): Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v1i1.6

Abstract

Inventory control is one of the problems faced by Universitas Pertamina. In the management of inventory, especially Consumable items, Universitas Pertamina does not determine the limited value of inventory that must be stored. Thus, this causes asset management difficult to determine the ordering quantity for each item and how many items should be stored in the warehouse. The purpose of this study is to recommend policies related to the value of safety stock, minimum stock, and maximum stock for each consumable item. The method used is the Min-Max Stock method. In addition, the ABC classification method is also used to classify items based on the level of usage. The results of this study are in the form of value limits for safety stock, minimum stock, and maximum stock. Then the priority item classification must be managed. Based on the calculation results, it is found that by using the min-max method, Universitas Pertamina can save up to 30% of inventory costs compared to the current policy.
Wind Turbine Production Planning in Logistic Systems Nanda Ruswandi; Dhian Febriyani Hutasuhut; May Putri Fadillah; Yizri Ievana Febrianty Rumalutur; Iwan Sukarno; Rahmad Inca Liperda
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 1 No 2 (2022): Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v1i2.22

Abstract

Production planning is very important in an industrial company as well as planning in Logistics. The purpose of implementing production planning in a company is to minimize costs incurred and maximize profits. This research is practicum-based research in the laboratory with the object of observation in the form of a wind turbine toy. This object will be processed through 5 stages in the production process starting from forecasting, RCCP (Rough Cut Capacity Planning), MRP (Material Requirement Planning), CRP (Capacity Requirement Planning), and Line Balancing. forecasting results are carried out with 12 future periods producing 232,888 units, RCCP balance between available capacity and required capacity, MRP using the lot sizing technique obtains the cheapest cost per unit Rp.142,179 with the LTC (Least Total Cost) method when compared to other MRP methods, namely LFL (Lot for Lot), POQ (Period Order Quantity), PPB (Part Period Balancing), EOQ (Economic Order Quantity), and LUC (Least Unit Cost), CRP by calculating the number of machines and working time, and line balancing which results in a decrease in track ineffectiveness from 42% to 22% and Smoothness Index from 476,662 to 189,703.