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ANALISA MITIGASI RISIKO MANAJEMEN RANTAI PASOKAN MENGGUNAKAN PENDEKATAN HOUSE OF RISK PADA PERUSAHAAN MANUFAKTUR TEPUNG AGAR-AGAR INSTAN Dennis Marchello; Wilson Kosasih; Lithrone Laricha Salomon
Jurnal Ilmiah Teknik Industri Vol. 11 No. 2 (2023): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jitiuntar.v11i2.21195

Abstract

Every company must have a good supply chain flow to support the company's development. A series of complex supply chain processes makes business processes unavoidable from risks that have a negative impact. Some risk events that are often found include the inability of suppliers to fulfill orders on the specified date, problems experienced by machines, and others. To overcome the risks that arise, it is necessary to manage supply chain risk management using the House of Risk (HOR) approach. The HOR method consists of 2 phases, HOR phase 1 focuses on risk events and priority handling of risk sources (risk agents) that will be subject to risk mitigation assistance measures to deal with negative pathways from these risks. While HOR phase 2 focuses on designing mitigation actions that will be applied to companies to deal with the negative impacts of risks and prevent risks from happening again. The results of the study showed that there were 47 risk events and 48 risk agents with 2 priority risk agents. Thus, 8 risk mitigation action strategies and 3 priority risk mitigation action strategies have been set to mitigate the existing risk agents.
PENGUKURAN KEY PERFORMANCE INDICATOR SISTEM MANAJEMEN GUDANG DI PERUSAHAAN LOGISTIK Hendrawan Suryajaya; Wilson Kosasih; Carla Olyvia Doaly; Lithrone Laricha Salomon
Jurnal Ilmiah Teknik Industri Vol. 13 No. 2 (2025): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/3eem4g52

Abstract

Many sellers of goods through digital platforms (marketplaces) do not have large storage space, so currently logistics companies also provide warehouse services to store goods from these sellers. A good warehouse management system (WMS) must be able to flow goods from input to output effectively and efficiently. Many logistics companies have yet to comprehensively measure key performance indicators (KPIs) for their WMS due to the perception that measurement is difficult and should only be performed by experts. This study aims to design and measure the KPIs of a WMS. This study uses a case study approach in a logistics company that has a storage area for various types of goods from sellers. Data were collected through literature studies, observations, and interviews. The methods used were the Analytical Hierarchy Process (AHP) and Snorm De Boer. The results show that three KPIs fall into the poor category, including: putaway per man-hour, % location and cube occupied, and order lines picked per man-hour. The company needs to create a structured system for storing goods based on their type, set standard storage time limits or even increase storage capacity, and also need to monitor the smooth flow of goods. In the end, it is hoped that all proposed KPIs can be measured periodically for continuous improvement.
ANALYSIS OF WASTE IN A CANDLE MANUFACTURING PRODUCTION LINE USING WASTE ASSESSMENT MODEL Teresa Novita; Wilson Kosasih; Ahmad
Jurnal Ilmiah Teknik Industri Vol. 14 No. 1 (2026): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jitiuntar.v14i1.37559

Abstract

The current state of the manufacturing industry demands that businesses continuously optimize their production processes. In reality, many activities still do not contribute to product added value, potentially leading to various forms of inefficiency. This situation has a negative impact in the form of increased production costs, decreased productivity levels, and extended duration required to complete the production process. The purpose of this study was to detect the categories of waste occurring in the candle production process and to design recommendations for improvements that can be implemented by the company. The study was conducted using Value Stream Mapping (VSM) as a tool for mapping material flows, Process Cycle Efficiency (PCE) to measure the extent to which process efficiency has been achieved, and the Waste Assessment Model (WAM) to determine the dominant waste categories. The research findings indicate that defects are the most common type of waste. The main triggers are unstable temperature settings, inconsistent raw material quantities, and incorrect wick installation. Based on the results of the investigation using the 5 Whys analysis and the 5W+1H approach, the implementation of the 5S and the Kanban system is recommended as concrete steps to reduce waste and encourage increased operational efficiency and product quality.