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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 7 Documents
 1 
Search results for , issue "Vol 3, No 3: October 2022" : 7 Documents clear
Analysis of BTA16 CNC Machine Performance Improvement with Total Productive Maintenance Approach Erik Odi Wijaya; Welly Atikno; Indra Setiawan; Rendy Susanto; Hibarkah Kurnia
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 3: October 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i3.15770

Abstract

Machinery or production equipment was the most important part of a production system. Machines need effective and efficient maintenance to be able to guarantee and support the production process to operate properly. The gas filter industry is an industry that produces air and gas filters. The gas filter industry has many production machines, one of which is CNC BTA16. This machine often has problems such as downtime that interfere with smooth production. The purpose of this study was to determine the problems in the CNC BTA16 production machine and provide recommendations for improvements to improve machine performance. The approach used is Total Productive Maintenance. Problem analysis was carried out through Focus Group Discussions with experts. The results showed that the cause of the engine is not optimal comes from abnormal heat in the gearbox on the engine spindle component caused by operator error when inputting data. The results of the calculation of the OEE value on the BTA16 CNC machine during the January – December 2021 period, the average OEE value was 73%. Suggested improvements are to make a special schedule for maintenance, check all speeches, and conduct training for employees to improve knowledge and skills.
Optimizing the Process Parameters for Eco-Friendly Minimum Quantity Lubrication-Turning of AISI 4340 Alloy with Nano-Lubricants Using a Grey Wolf Optimization Approach Chukwuka Prosper Ozule; Sunday Ayoola Oke; Ugochukwu Sixtus Nwankiti
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 3: October 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i3.15519

Abstract

Optimization of turning process parameters in minimum quantity lubrication (MQL)-assisted mode is obligatory for enhanced efficiency and product integrity. However, little attention has been paid to analyzing situations where high search precision is needed when evaluating the optimal turning process parameters. This article applies the grey wolf optimization (GWO) approach to optimize the turning of parameters AISI 4340 alloy to enhance cutting force, surface roughness and tool wear. Based on the literature data, turning was conducted with MQL-assisted CuO and Al2O3 nanofluids. The problem was formulated by mimicking six wolves in six different objective functions. The objective functions have the responses as the dependent variables and the parameters including cutting speed, feed and cutting depth as independent variables. The hunting behavior of the wolves as they encircle the prey is interpreted to the machining task optimization. It involves three hierarchically-evaluated guides- the alpha, beta and delta wolves- positioned optimally and other wolves are updated accordingly. The cutting speed, feed and cutting depth are bound in the lower and upper limits as 80 and 140m/min, 0.05 and 0.20m/m/rev and 0.1 and 0.4mm, respectively. The grey wolf optimization algorithm optimizes the parameters to yield the cutting force, surface roughness and tool wear using Al2O3 as 199.50N, -23.54mm and 0.06mm, respectively. For the CuO, the corresponding cutting force, surface roughness and tool wear, the CuO, Al2O3 and CuO nano lubricants produced the best results. However, for mass production, selective use of CuO and Al2O3 should be made. The usefulness of this research endeavor is to help process engineers to make decisions in producing low-cost components in manufacturing.
Mini Oreo Cup Production Plan with Aggregate Method to Minimize Production Costs Vera Nova Lumban Raja
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 3: October 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i3.15787

Abstract

Manufacturing companya PT.Sinar Jatimulia Gemilang produces many types of plastic packaging, one of which is mini oreo cups.The production system in this company is based on job shop, changing product demand and limited product capacity make it difficult for the company to make a productin plan. The purpose of this research is to make a mini cup production plan to meet future demand with the aim of minimize production costs. At the initial stage a field study was conducted to obtain to required data. The data obtained through interviews with production employees from the company. Then do the literature study through books and articles from related journal as the theoretical basis used in this research. Production planning research using exponential smoothing forecasting method with α=0.6 and standard error of 617814.3 was selected with the criteria of the smallest mean square error and aggregate planning.The result of analysis I strategy of inventory level inventory cost is IDR. 441,654,900. In analysis II the strategy for variation in the number workers costs is IDR. 747,373,500. The cost for analysis III subcontracting strategy is IDR. 79,065,843,000. From the research that production cost before the calculation is IDR. 52,002,000,000 and the number of workers is 4. After the result of the research on optimization the number of workers that will be used by 2.
Thermal Friction Drilling Process Parametric Optimization for AISI 304 Stainless Steel Using an Integrated Taguchi-Pareto–Grey Wolf-Desirability Function Analysis Optimization Technique Ugochukwu Sixtus Nwankiti; Sunday Ayoola Oke
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 3: October 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i3.15444

Abstract

Thermal friction estimations are presently essential on steel for manufacturing applications as they predict the aggregated energy required for the required process. However, the current thermal friction estimates are inaccurate as they exclude the optimized thresholds of both the input and output quantities. In this article, the optimization of the drilling operation process is accounted for by introducing a new method of combined Taguchi-Pareto–grey wolf-desirability function analysis applied on the AISI 304 stainless steel. An objective function was formulated using the delta values developed from the average signal-to-noise into the response table of the Taguchi method. Besides, the ranks of the parameters through the response table are taken in the reciprocal mode to evaluate the values of the linear program formulated according to the objective function and some constraints taken from the system. Six input parameters were considered tool cylindrical region diameter, friction angle, friction contact area ratio, mouthpiece thickness, feed rate and reciprocal speed. The outputs are the axial force, radial force, hole diameter dimensional error, roundness error and bushing length. These inputs and outputs were analyzed for the optimization process. Based on the results, which were solved using the C++ software, the best value converges in iteration 8 with the starting value of 1699.2. Iteration 1 drops to 11016.3 in six iterations (iterations 2 to 7) and finally converges at 11015.9 in iterations 8 through 20. The usefulness of the effort is to help process engineers to execute cost-effective energy conservation decisions in optimization that could be obtained using optimized thermal friction values.
Quantitative Assessment of Effectiveness and Utilization of Medical Equipment Isha Roy Chowdhuri; Arun Kiran Pal
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 3: October 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i3.16072

Abstract

The problem of operational efficiency assessment of medical equipment is becoming crucial, due to its increasing requirement in hospitals. It has been observed that a significant amount of medical equipment is out of service for several reasons such as lack of training, maintenance and health technology management. The unexpected failures, downtime associated with breakdown and make ready, loss of production and poor maintenance costs of medical equipment are the major drawback in any hospital. Quality of diagnostic and treatment care provided to patients largely depends on the reliability, availability and maintainability of sophisticated medical equipment. Aim of the present study is to determine quantitatively overall effectiveness and utilization of some medical equipment. Overall Equipment Effectiveness (OEE) and utilization coefficient is the metric measurement of Total Productive Maintenance (TPM) which specifies effective functioning of devices.  The results of the effectiveness of the devices are found to be below the standard of 85%. The cause of low effectiveness value was due to poor performance and availability. Equipment utilization is also needed for the evaluation of medical equipment necessity, appropriateness and efficiency of the use in diagnosis and treating a patient. The proposed methodology may be able to increase the amount of working medical equipment by implementing preventive maintenance schedule. The methodology is also validated by failure probability and reliability of the machines.
The Influence of Service Quality and Facilities on Customer Satisfaction and Loyalty of Blue Residence’s Boarding Room, West Jakarta Chandra Dewi Kurnianingtyas; Tiya Katriliya; Bawono Bawono
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 3: October 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i3.15769

Abstract

Blue Residence Kos is a boarding house in West Jakarta. This business has been going on for a long time and and over time, the boarding house owner also needs to consider the potential risk of being lonely due to the loss of attractiveness of the boarding house. This business has a high customer turnover rate and many boarding rooms are found to be unoccupied. For this reason, it is necessary to control the quality of boarding services provided in services and facilities. This study examines the effect of service quality on customer satisfaction and loyalty boarding. It is proven that customer satisfaction and loyalty are influenced by service quality and boarding facilities. Customer satisfaction is affected by the variable boarding facilities and boarding services significantly and both variables affect simultaneously by 63.9%. Customer loyalty is not significantly affected by the variable costing facilities, but is significantly affected by the variable costing services. Simultaneously, customer loyalty is influenced by these two variables by 72.5%. Customer satisfaction regression formula Y1 = 1.379 + 0.423 X1 + 0.500 X2 and customer loyalty regression formula Y2 = -3.178 + 0.204 X1 + 0.775 X2. Researchers propose improvements with the QFD method and obtain a ranking of improvement priorities that have been evaluated for their level of competitiveness with competitors of the Blue Residence boarding house. Researchers also use quality management tools to control quality, namely Check Sheet, Pareto Diagram, and Fishbone.
IJIEM - Indonesian Journal of Industrial Engineering and Management, Vol 3, No 3, October 2022 Admin Admin
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 3: October 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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