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Humiras Hardi Purba
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IJIEM - Indonesian Journal of Industrial Engineering & Management Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana Kampus Menteng - Gedung Tedja Buana, Floor 4th Jl. Menteng Raya No. 29 Jakarta Pusat- Indonesia Tlp.: +62 21 31935454 Fax: +62 21 31934474
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INDONESIA
Indonesian Journal of Industrial Engineering & Management
Published by Universitas Mercu Buana
ISSN : 26147327     EISSN : 27459063     DOI : https://dx.doi.org/10.22441/ijiem
Core Subject : Science, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering
The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on industrial engineering and management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simulation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization. Indonesian Journal of Industrial Engineering & Management is published under the auspices of Universitas Mercu Buana. The main purpose of Indonesian Journal of Industrial Engineering & Management is to publish the results of cutting-edge research advancing the concepts, theories and implementation of novel solutions in modern manufacturing and services. Papers presenting original research results related to industrial engineering and management education are also welcomed.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 15 Documents
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Search results for , issue "Vol 6, No 1: February 2025" : 15 Documents clear
Key Performance Metrics for Green Warehousing in Manufacturing Supply Chains: A Review Meliana, Dita; Hasibuan, Sawarni
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 1: February 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i1.29955

Abstract

This research highlights the significance of adopting eco-friendly methods in storage, which is a vital part of the manufacturing supply chain. Although green warehousing is still in its early stages, and there is less literature and empirical data on the subject, its potential for sustainable growth is enormous and requires additional exploration. The study's objective is to identify areas in research that have not been adequately addressed and to establish key performance indicators (KPIs) relevant to green warehousing. This will be achieved by a thorough invesstigation of existing literature. The research methodology employs well-regarded databases such as Publish or Perish, Proquest, and Google Scholar. It utilizes keywords such as "key performance indicators" and "green warehousing". A study of bibliographic data is performed using VOS Viewer to find patterns and concentration of research in this field. The results provide a range of KPIs for environmentally friendly warehousing, such as energy usage, waste management, efficiency in utilizing warehouse space, and monitoring of carbon emissions. The discussion emphasizes the importance of using eco-friendly warehousing practices to decrease greenhouse gas emissions and improve the efficiency of supply chains. The study suggests that researchers create practical case studies based on observation and participate in interdisciplinary research. For professionals in the industry, it recommends adopting quantifiable KPIs and allocating resources to develop environmentally friendly infrastructure.
Optimizing the Distribution and Allocation of COVID-19 Vaccines Using Mathematical Programming Approach: A Case Study in Indonesia Yaqin, Alvin Muhammad 'Ainul; Rosyid, Ghina Salsabila; Karim, Abdul Alimul; Sulaiman, Mochamad; Fadillah, Fitriah
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 1: February 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i1.28013

Abstract

Effective distribution of COVID-19 vaccines is crucial for pandemic control. This study utilized a multi-product mixed-integer nonlinear programming (MINLP) model to optimize the distribution of five vaccine types across (AstraZeneca, Sinopharm, Moderna, Pfizer, and Sinovac). The population, segmented into five age groups (12-18 years, 19-30 years, 31-45 years, 46-59 years and over 60 years), accesses vaccines through 59 healthcare facilities in one of the large cities in Indonesia. With a budget of IDR 150 billion, the model procured five vaccine a total of 574,748 vaccine doses, distributed as follows: 112,954 of type 1, 115,733 of type 2, 115,649 of type 3, 112,171 of type 4, and 118,241 of type 5 vaccines. The model successfully optimized the distribution, achieving a delivery-to-demand ratio of 0.049, which reflects the proportion of vaccine demand met under various scenarios, particularly in scenario 4, which represents actual conditions. Decision-makers can further enhance vaccine allocation by adjusting the total budget; for instance, an additional IDR 10 billion would enable the distribution of 123,474 more doses, increasing the delivery-to-demand ratio to 0.056. This ratio of 0.056 was obtained by adjusting the total budget allocated for vaccine distribution in scenario 5, based on the results from AMPL and Gurobi software. A significant contribution of this study is the development of a MINLP model that ensures equitable distribution tailored to age-specific pandemic requirements. Validation using real-world data enhances the existing literature on vaccine distribution strategies. This study provides valuable insights for policymakers and managers aiming to optimize resource allocation and distribution strategies for COVID-19 vaccination programs, thereby improving overall pandemic management efficiency.
Analysis of Priority Improvement in Draft Quality of Sizing Using Grey Theory in FMEA Pujianto, Hendri; Nazar, Yunus; Mohadi, Mohadi; Gultom, Dora Virma Yolanda; Nasihardani, Dana
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 1: February 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i1.29858

Abstract

Draft quality is a crucial problem in the sizing section. There were 3889 warp yarn breaks for six months. The study aims to decrease quality draft defects by applying the grey theory in the traditional FMEA. After analyzing the flow process, 41 potential causes (PC) were found from 12 potential failure modes in 7 areas. There is no significant difference in the top 5 rankings of the RPN assessment on traditional FMEA and grey theory. However, there is a slight difference in ranking on 5 PC. The first priority (RPN= 48; GR=0.588) is in the beam shaft with the creel unaligned in the beam installation (pneumatic piston not parallel). The last priority (RPN= 4; GR=0.857) is a less oiling. This research can recommend an improvement sizing process based on the proposed repairs or maintenance list, using the Grey theory in the FMEA method to decrease the weaving industry defect rate.  
Analysis Implementation of Total Quality Management System on Operational Performance: Case Study on Fast Moving Consumer Goods Company Badawi, Yessica Tania. H; Arviansyah, Arviansyah
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 1: February 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i1.26925

Abstract

Implementation of the Total Quality Management System in food companies is essential to help company produce quality product for consumers and to gain competitive advantage. This research aims to analyze TQMS implementation in Fast Moving Consumer Goods companies that produce food and beverages regarding operational performance. The data collected from 136 respondents, who are employees in the FMCG sector, was analyzed using a quantitative method with PLS-SEM. The endogenous variable in this study is operational performance, while the exogenous variables are dimensions of TQM practices, which include leadership, employee involvement, customer focus, strategic planning, and continuous improvement. The results of the study indicate that the implementation of TQM in the factors of leadership, employee involvement, customer focus, and continuous improvement has a positive and significant impact on operational performance. In contrast, strategic planning does not have a significant positive impact on the operational performance of the company.
Analysis of Work Posture and Improvement of Worker Activities at a Four-Wheeled Vehicle Lighting Company Imansuri, Febriza; Ardiansyah, Muhammad; Irhannudin, Muhammad; Rahimun, Farhan Bagus; Priandi, Fajar Putra; Pratama, Indra Rizki; Wulansari, Isma
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 1: February 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i1.25345

Abstract

PMG, Ltd is a company that manufactures and subcontracts for car lighting companies.The problem on the automobile lamp factory floor is that workers do repetitive operations and lifting loads manually without using tools. The goal of this research is to determine the risk level of work posture and provide recommendations for improvements to four-wheeled vehicle lighting component companies. The methods used to assess operator working posture are the Nordic Body Map (NBM), Quick Exposure Check (QEC) and Ovako Working Posture Analysis System (OWAS) questionnaires. Based on the results of the NBM questionnaire, Musculoskeletal Disorder (MSD) symptoms were found on the neck, back, hands and feet. The score for the QEC method is 65.43%, which means further research and changes are needed, and the OWAS method is in category 2, which means that corrective action is needed in the near future. Improvements in working posture were carried out by redesigning the work table according to anthropometric ergonomics principles and reducing the flow of stages in the lamp production process from 11 steps to 8 work steps. 

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