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Journal : JESCEE- Journal of Emerging Supply Chain, Clean Energy, and Process Engineering

Analysis Inventory of Consumable Goods Using Min-Max Method at Universitas Pertamina Irfan Romadhon, Nurma; Sukarno, Iwan; Lusiani, Mirna
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.
Inventory Control Analysis of Flowline Pipe (Case Study: PT. Pertamina Hulu Rokan Field Limau) Hevira Putri , Nathasya; Sukarno, Iwan; Dewabharata, Anindhita
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.v1i2.21

Abstract

Flowline is a means of distributing oil and natural gas from drilling wells to the separation point or collection station. The need for this flowline is fast moving but the problem that often occurs in companies is that the flowline needs cannot be fulfilled. Stock out on the 4-inch flowline pipe can cause a loss of production opportunity. To overcome the stock out, it is necessary to do proper inventory control. Forecasting the demand for the 4-inch flowline pipe using the ARIMA model to determine the amount of demand in the future period. After getting the number of requests, the requests are analyzed using the ADI-CV technique to see the demand pattern. The characteristics of the demand pattern are used to determine the appropriate type of inventory control. The result of the ADI value is 1 and the CV value is 0.04, so the demand pattern is smooth moving and uses the continuous review method. The continuous review method resulted in a total cost of Rp. 17,780,325,626, while the actual cost was Rp. 18,247,993,200. These results indicate that with inventory control, the proposed condition using the continuous review method can reduce inventory costs by Rp. 467,667,574 compared to actual conditions, and there is a saving of 2.56%.
Wind Turbine Production Planning in Logistic Systems Ruswandi, Nanda; Febriyani Hutasuhut, Dhian; Putri Fadillah, May; Ievana Febrianty Rumalutur, Yizri; Sukarno, Iwan; Inca Liperda, Rahmad
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.
Co-Authors Ade Asriani Aisyah Adelady Rozha Amarilies, Harummi Sekar Amelia, Afifah Ananda P. Dermawan Angel Olivia Benedikta Anshari, Reza Kharisma Atthoriq, Muhammad Fajril Baliwangi, Lahar Barges, Zetira Christ M. Purba Dewabharata, Anindhita Dharmapatni, Made Ranjani Dianisa, Pramesti Adwinda Dicka Hidayat Fatahayu, Nafi Riska Febriyani Hutasuhut, Dhian Ferani Eva Zulvia Gita Kurnia Harummi Amarilies Hegel Johanes Herlina, Rohma Hevira Putri , Nathasya Ievana Febrianty Rumalutur, Yizri Inca Liperda, Rahmad Indrawan, Ahsan P. Intan R. Silalahi Irfan Romadhon, Nurma Iskandar, Yelita Anggiane Ismi Nur Sabani Juan S. Y. Simanjuntak Kurnia, Gita Layman, Pauline Nancy Deslin Liperda, Rahmad Inca Lusiani, Mirna M. Welano Kharisma Mega Rizkah Sudiar Mohamad Reynaldo Haykal Arshal Muhammad Al Furqan Nulkarim Mutia Zahvira Nabila Ananda Yusfa Nabila Asyifa Cabriani Lestari Nanda Ruswandi Nia Azi Fadjri Nursabila, Nursabila Nursechafia Nursechafia P., Rangga Pratami, Putri Monika Putri Fadillah, May Rachmad Inca Liperda Rahesya P. Syailendra Raina Fridayanti Raja Mohd Rasi, Raja Zuraidah Ramadhan Setiyani, Denok Ramli, Moh. Agus S. Reza Kharisma Anshari Rumalutur, Yizri Ievana Febrianty Ruswandi, Nanda Sandi, Evelyn Sari, Alifiana Permata Septianinda Purnamasari Suri, Faras Karningtia Syafrizal Ambiya Tansy, Argya Fauziah Tazkiya, Osel Nur ` Vikaliana, Resista Wahyu Kunto Wibowo Waluya, Fuad Najib Wibowo, Wahyu Kunto Y, Iman Nafiz. Yaqin, Syaiful Haqqul Yelita Anggiane Iskandar Yenda, Natasha Utami Syave Yordan, Vainzela Dwi Amanda Zahra Zayyina Yustisia Arif (Universitas Pertamina)