Indonesian Journal of Industrial Engineering & Management
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.
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<![CDATA[Quality Analysis and Improvement of Nut Dragging Defects in FR S/C Side RH Bracket Products within Indonesia's Automotive SMEs ]]>
<![CDATA[Sumasto, Fredy]]>;
<![CDATA[Saputra, Yogi Pangestu]]>;
<![CDATA[Imansuri, Febriza]]>;
<![CDATA[Marizka, Dewi Auditiya]]>;
<![CDATA[Ismono, Ahlan]]>;
<![CDATA[Rozi, Muhamad Fahrul]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 3: October 2024 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v5i3.23857
<![CDATA[This study analyses the quality of FR S/C Side RH Bracket products at PT BMI, especially concerning the nut dragging problem, which is often the main defect. This study aims to analyze and improve the nut dragging defect problem in FR S/C Side RH Bracket products, as well as provide an understanding of the effectiveness of the improvement in reducing the number of defective products. The analysis shows that FR S/C Side RH Bracket products with nut dragging problems are the most frequent defects, reaching 632 defective units or about 60% of the total defective products before improvement. The Failure Tree Analysis (FTA) method was used to identify the root cause of the nut dragging problem, which revealed that machine factors were generally the main cause, especially setting the spot welding machine parameters too high. In response, improvements were made by changing the parameters on the SW.03 spot welding machine and adding a cooling water line. The results showed a significant decrease in defective products, totaling 1320 units. After the improvement, only 141 units were defective. This research provides an in-depth understanding of product quality issues at PT BMI. It offers solutions to improve product quality and meet customer expectations in the highly competitive automotive industry.]]>
<![CDATA[Strategic Line Balancing for Enhanced Efficiency in Solar Module Manufacturing: A Comprehensive Study in the Renewable Energy Sector ]]>
<![CDATA[Imansuri, Febriza]]>;
<![CDATA[Sumasto, Fredy]]>;
<![CDATA[Pratama, Indra Rizki]]>;
<![CDATA[Aminuddin, Muhammad]]>;
<![CDATA[Saputra, Alfiolani]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 3: October 2024 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v5i3.22972
<![CDATA[This study endeavors to enhance the productivity of solar module production in a renewable energy conversion company. The existing production line needs help in achieving the daily target of 64 units, resulting in an actual output of only 40 units. This study focuses on optimizing the production line by considering processing time adjustments and operator flexibility. To accurately measure working time, we incorporate operator flexibility and adjustment factors in the planning phase of solar module production. The primary objective is establishing an optimal production trajectory by balancing the load and capacity across workstations, thereby elevating overall production efficiency. The approach involves the application of the trial-error method and the shortest operation time method, implemented through POM QM software. Through meticulous data analysis, we determine that the trial-error process yields the most optimal results. Post-implementation, improvements are evident as the solar module production capacity increases to 60 units per day from the initial 40 units. Additionally, the idle time ratio on the assembly line to available time diminishes to 13.17% after optimization. This study contributes valuable insights into the effective enhancement of solar module production lines, emphasizing practical methodologies and software-assisted techniques for achieving substantial productivity gains in the renewable energy sector. ]]>
<![CDATA[Measurement of the Physiological Workload of Sorting Station Operators in A Palm Oil Processing Factory ]]>
<![CDATA[Sitorus, Tosty Maylangi]]>;
<![CDATA[Lubis, Rizki Fadhillah]]>;
<![CDATA[Tamami, Briliyan]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 3: October 2024 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v5i3.25071
<![CDATA[One of the palm oil processing industries in Riau that has isolated entrepreneurs as part of its work. Based on the results of continuous observations using the Nordic Body Map (NBM) Questionnaire, 75% of working waste handlers experience complaints in the hands, waist, and legs. So the workload of processing operators is measured using a physiological approach in one of the palm oil processing industries in Riau. Measurements using a physiological approach are carried out objectively using the method of heart rate, energy expenditure, %CVL, and energy consumption. Based on the principles of heart rate, energy expenditure budget and %CVL, the results were found to be non-standard which requires additional improvements based on the energy expenditure budget and %CVL method.]]>
<![CDATA[Proposed Preventive Maintenance of Air Screw Compressor Machine Using Failure Mode and Effect Analysis and Modularity Design Methods at PT XYZ ]]>
<![CDATA[Susilo, Dave Dee]]>;
<![CDATA[Widjajati, Endang Pudji]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 3: October 2024 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v5i3.23742
<![CDATA[Current developments in the industrial world made competition between companies increasingly tight. This required companies to increase the effectiveness and efficiency of their production processes, one of which was by implementing proper machine maintenance so that the machines used could operate well and optimally. PT XYZ is a company engaged in the manufacturing industry which is engaged in making hydrogen peroxide chemical liquid in Indonesia. This company experienced problems with damage to its air screw compressor machine because the maintenance system was carried out when components were damaged, resulting in long downtime. Therefore, this research was carried out with the aim of providing preventive maintenance suggestions using the failure mode and effect analysis (FMEA) method to find critical components of the machine and modularity design to group machine components so as to reduce downtime and minimize maintenance costs. By implementing preventive maintenance with FMEA and modularity design, ten critical sub-components were obtained with a total maintenance cost of IDR 884,839,695, lower than the company's current total maintenance cost of IDR 1,513,836,000. So by applying the proposed method, the company gets an efficiency of 41.55%.]]>
<![CDATA[Optimization of Flight Routes Employing the Simulated Annealing Method in the Context of the Indonesian National Airline Industry ]]>
<![CDATA[Juniawan, Singgih]]>;
<![CDATA[Roysen, Uti]]>;
<![CDATA[Alam, Fachrul]]>;
<![CDATA[Zainuddin, Zafitri]]>;
<![CDATA[Daruki, Daruki]]>;
<![CDATA[Taher, Hermawan]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 3: October 2024 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v5i3.21748
<![CDATA[This research was conducted in the context of significant air traffic growth in Indonesia, where the increasing number of passengers each year presents an opportunity for airlines to expand their route networks and reach more markets. To seize this opportunity, a national airline based in Jakarta conducted internal research to open new flight routes connecting several important cities in Indonesia, namely Jakarta, Kupang, Pangkal Pinang, Pekanbaru, Makassar, and Banjarmasin.This research aims to obtain an optimal flight route that can enhance the effectiveness and efficiency of the planned airline routes. The research utilizes the Simulated Annealing-Traveling Salesman Problem optimization method to achieve this objective. This method is employed to find the best solution in determining the shortest route that includes visits to each destination city.The initial proposed flight route by the airline was Banjarmasin-Pangkal Pinang-Pekanbaru-Jakarta-Kupang-Makassar, with a total distance of 5,127 km. However, the research yielded a different optimal flight route after conducting the optimization process using the Simulated Annealing-Traveling Salesman Problem method. The discovered optimal flight route is Pekanbaru-Pangkal Pinang-Jakarta-Banjarmasin-Makassar-Kupang, with a total distance of 3,256 km. A comparison between the initial and optimal routes reveals that the new route has a 36.49% shorter distance than the initial route.]]>
<![CDATA[Comparative Analysis of Mental Workload in Industrial Engineering Laboratory Assistants Using the NASA-TLX Method ]]>
<![CDATA[Tajtibra, Firli]]>;
<![CDATA[Putra, Perdana Suteja]]>;
<![CDATA[Prihadianto, Rahaditya Dimas]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 3: October 2024 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v5i3.25787
<![CDATA[The education system at Telkom University Surabaya (TEL-U SBY) is not only in the form of theory but also practicum material, one of which is like the activities in the Industrial Engineering Stdui Program at Telkom University Surabaya. In this Study Program has a laboratory unit as a means of practicum activities, which includes 5 laboratories. The practicum activities involve the role of active students who are responsible as laboratory assistants in the implementation of practicum. This makes them have two roles that can lead to the potential for increased mental workload (MW). So, in this study, a comparative measurement of the mental workload of laboratory assistants was carried out to help identify the level of workload experienced, as well as increase efficiency and productivity. The method used as an approach in measuring the mental workload of laboratory assistants is through the NASA-TLX method. The results obtained from this study, it is known that the Engineering Management laboratory has the highest mean score of 65.42 and the second highest is the Optimization and System Modeling laboratory of 60.56. The most dominant indicators as the cause of the mental workload of laboratory assistants are the effort and temporal demand indicators. Recommendations for improvement include task and time management, work appreciation, and improving adequate practicum facilities, for the comfort and satisfaction of laboratory assistant members.]]>
<![CDATA[Optimization Unloading Time Container Use Multiple-Channel Queuing Model at Car Industry ]]>
<![CDATA[Fitra, Adi]]>;
<![CDATA[Suhendra, Suhendra]]>;
<![CDATA[Wiyatno, Tri Ngudi]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 3: October 2024 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v5i3.24198
<![CDATA[The development of the car assembly industry in Indonesia is increasing from year to year and competition is getting tighter. To be able to compete in the competition, a system with low costs is needed. Logistics is an activity that does not add value and logistics is also included in the price formation elements. Logistics costs in Indonesia are high, reaching 30% of the total product. Waiting time for containers to be unloaded is a hidden cost and can reduce service levels. The aim of this research is to reduce waste when waiting to unload containers which is related to the capacity of the area waiting to unload containers. The method used is the Multiple-Channel Queuing Model queuing method where analysis is carried out to reduce waiting time so that there are no containers waiting outside the cross-dock warehouse. The results of the research found that by increasing the number of containers unloading docks, the unloading time could be reduced from 2.25 hours to 1 hour and increase the service level where the container waiting area which initially required 5 parking lots became 2 container parking lots. Not only can it reduce the number of queues outside the warehouse and reduce waiting times. In this study, it was found that by adding docking from 2 to 3, it can make a cost reduction of 1 million per month because there is no need to pay overtime costs to unload containers.]]>
<![CDATA[Measurement of Line Balancing in the Production Process Copper Cathode at PT. Smelting Using Ranked Positional Weight (RPW) Method ]]>
<![CDATA[Wardana, Muhammad Donny Putra]]>;
<![CDATA[Saifuddin, Joumil Aidil]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 3: October 2024 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v5i3.23322
<![CDATA[Line balancing is required in the production process. Without a balanced production line at work stations, the production process is less effective and efficient. Refinery at PT. Smelting has a type of mass production process, so it is planned to determine the optimal production line so that the loading on each work station will be more evenly distributed and reduce idle time. The method used is the measurement of working time with a stop watch. the data used is the work element and the time needed by the operator to complete the copper cathode production process which is from the anode arriving at the Anode Preparation Machine (APM) until the copper cathode is finished strapping at the Cathode Washing & Stripping Machine (CWSM). There are two results of the analysis,based on the first analysis that by using the line balancing method, the company can achieve a line efficiency of 78.10% and reduce the balance delay by 15.11% which is from 37.01% to 21.90%.]]>
<![CDATA[The Influence of Product Quality and Location on the Purchase Decision in Bakso Damas Malang ]]>
<![CDATA[Rahmadhani, Aisyah]]>;
<![CDATA[Murtiyanto, Rizky Kurniawan]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 3: October 2024 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v5i3.27048
<![CDATA[In today's globalized world, the culinary industry has seen remarkable growth, with product quality and strategic location being crucial factors. This study, titled "The Influence of Product Quality and Location on Purchase Decisions at Bakso Damas Malang," examines how these elements affect consumer choices, focusing on a prominent meatball vendor facing quality challenges despite a commitment to freshness. The urgency of this research stems from the rapid expansion and fierce competition in Malang's culinary sector. Quantitative analysis is essential to assess the impact of product quality and location on purchasing decisions. This research involves a substantial sample and employs a variety of data collection methods, including interviews, questionnaires, and observations, both online and offline. Validity and reliability tests ensure the robustness of the research tools, and a comprehensive analytical approach is used. The study finds that product quality and location significantly influence consumer decisions, with 71.8% of purchase decisions attributed to these factors, as indicated by the coefficient of determination (R2). The F-statistic test further confirms the combined effect of these variables. The study concludes that prioritizing product quality and strategic location is vital for businesses like Bakso Damas Malang to achieve sustained success and high consumer satisfaction.]]>
<![CDATA[Comparative Study of RCCP and System Dynamics in Productivity Capacity ]]>
<![CDATA[Purwojatmiko, B. Handoko]]>;
<![CDATA[Cessari, Raissa Annisa]]>;
<![CDATA[Ambarwati, Laksmi]]>;
<![CDATA[Sumasto, Fredy]]>
<![CDATA[ IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 3: October 2024 ]]>
Publisher : <![CDATA[Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana ]]>
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DOI: 10.22441/ijiem.v5i3.23806
<![CDATA[One of the manufacturing companies in Indonesia which is engaged in foundry has a production line for various types of automotive components and has produced 2051 types of products. One of the products produced is the Trunion Bracket. In the molding process, cores are needed that can provide cavities in the product. The current production process has not been able to meet demand because the production cycle time does not match the predetermined time. This discrepancy will affect consumer satisfaction. Therefore, it is necessary to make a schedule for the period July to December 2022, to assist companies in facilitating the scheduling of the production process using Rough Cut Capacity Planning and System dynamics. The calculation results from Rough Cut Capacity Planning indicate that the 5th workstation experienced a shortage of production time from July to September 2022, so an additional number of working hours had to be made. The addition of the number of working hours before improvement was 367 hours and after improvement was 112 hours. Meanwhile, the results of system dynamics modeling for the period July to December 2022, require an additional working hour before improvement by 308 hours and 205 hours after improvement are carried out. The companies can implement strategies based on the results of system dynamics simulations to identify, forecast, and plan production capacity requirements for the next.]]>
