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All Journal BERKALA SAINSTEK JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) JISI UMJ (Jurnal Integrasi Sistem Industri UMJ) Infotech Journal Jurnal Ilmiah Manajemen dan Bisnis (JIMB) IKRA-ITH Informatika : Jurnal Komputer dan Informatika IKRA-ITH EKONOMIKA Jurnal Logistik Indonesia Majalah Ilmiah Bijak Transparansi Jurnal Ilmiah Ilmu Administrasi Jurnal Abdi Insani Community Development Journal: Jurnal Pengabdian Masyarakat JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) International Journal of Research in Vocational Studies (IJRVOCAS) JESCEE- Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Iskandar, Yelita Anggiane
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Inventory Management with Demand Forecast for Eyeglass Lenses Using The Time Series Method at An Optical Store Adriel Silaen, Thobias; Iskandar, Yelita Anggiane
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 2 No 2 (2023): 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.v2i2.65

Abstract

In the healthcare sector, supply chain management is one of the most important elements since in the logistics of medical devices and pharmaceutical products, patient satisfaction is the main focus in efforts to improve service quality. One of the problems that often occurs in the optical supply chain is inventory control. The optical store is one of the microenterprises engaged in optometric health services. The enclosed supply chain is a three-echelon model, where the store is at the second level. The process of ordering lenses at the store from suppliers is not carried out based on predicted demand. The determination of the safety stock amount and the reorder point also still has a fairly low accuracy there. This is indicated by overstock and stock-out situations that still occur frequently in this company. Overstock causes the product to be damaged because it has been stored for too long and stock out causes lost sales. To solve the problem in this research, the prediction of future demand is overcome by using several time series methods, such as cyclical models, cyclical trend models, and ARIMA models. Forecasting result validation is implemented by calculating the calculation of errors using MAPE, MAD, and MSE then it was found that the forecasting model chosen to predict the demand for the lenses is a cyclical trend model. The result of the demand forecasting and safety stock size calculation with 3 service levels are used as input to determine the reorder point. After observing the condition of the company and the targets set by the company, the calculation results with a service level of 90% is the most possible to be implemented.
Enhancing Storage Efficiency with Class-Based Storage Design: A Lubricant Drum Warehouse Study at PT Patra Logistik Iskandar, Yelita Anggiane; Alkatiri, Non Firdiyanti
Jurnal Logistik Indonesia Vol 9, No 1: April 2025
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v9i1.4868

Abstract

Efficient storage is a critical aspect of warehouse management, particularly in industries constrained by limited space, such as lubricant drum storage. PT Patra Logistik, a third-party logistics (3PL) provider for PT Pertamina Lubricants, has faced inefficiencies in its warehouse operations due to an unstructured storage system. The current use of a random storage method has led to increased travel distances for goods movement, difficulty in locating products, and overall layout disorganization. This study aims to redesign the warehouse layout using the Class-Based Storage (CBS) method to minimize the travel distance involved in the picking and storing of goods. The research employed field observations, interviews, and analysis of historical goods movement data from the April-June 2024 period. ABC Analysis was utilized to classify products based on the frequency of inbound and outbound movements. These classifications served as the foundation for developing a more efficient warehouse layout. The results indicate that implementing the CBS method significantly reduced the total travel distance from 164,625 meters to 78,609 meters, a reduction of 86,015 meters. This improvement enhanced operational efficiency by decreasing retrieval time, increasing labor productivity, and optimizing storage space utilization. Furthermore, validation of the new layout design revealed strong support from respondents, with the majority agreeing or strongly agreeing with the proposed system.
Co-Authors Ade Irawan Adriel Silaen, Thobias Afdiyan, Hafidz Al Alkatiri, Non Firdiyanti Altis Irawan, Tito Amadea, Jesika Aqil, Hilmi Candra Kurniawan, Adji Dicky Ahmad Zaky Eka Puspitasari, Eka Fajar Ikhlas, Muhammad Febryan, Rio Fihan, Joan Mesiah Gaffar, Aditya Hartono, Werdaningtyas Evivani Herlina, Rohma Hutasoit, Marco Ferdinand Montoya Ida Herawati Ikhlas, Muhammad Fajar Iktri Madrinovella Iqbal, Nur Muhammad Kamilia, Rifka Alifa Khairunnisa, Nazihah Lailatul Fitriani Lusiani, Mirna Misbahudin Misbahudin Mubarak, Alfi Muhammad Lubis Muhyi, Lana Salsabila Mulyasari, Farah Nissya, Agtandella Islamy Oktafiani, Intan Passasung, Octaviano Rosario Pratama, Fikih Urdi Purba, Niko Andri Putri Amro, Alda Putri Fadillah, May Rachmawati, Nur Layli Rahardi, Riqqi Rahma, Dewinka Azelia Rahmadani Zahra, Carissa Rollandiaz, Stenlee Sandy Kurniawan Suhardja Siadari, Madhe Putra Sofyan, Fathya Fajria Sukarno, Iwan Utami, Fera Dianita Vikaliana, Resista Waskito Pranowo Widyanti, Sari Winda Septiana, Winda Zulvia, Ferani Eva