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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 74 Documents
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Surface Integrity Analysis of Wire Electric Discharge Machining of Nitinol Shape Memory Alloy: A Literature Review Mofoluwaso Kehinde Adeniran; Sunday Ayoola Oke
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 2: June 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i2.14821

Abstract

When nitinol is machined, quantitative details regarding the surfaces such as the surface crack density, utmost peak-to-valley heights, recast layer thickness and the mean peak-to-valley height among others offer the most appropriate features to consider in the integrity of the surfaces of machined nitinol. This quantitative information directs the integrity and the projected future performance of the machined nitinol in the components. Consequently, the research question of how to achieve optimal surface integrity of the machined nitinol is important. A literature review is conducted to study the surface integrity analysis of wire electrical discharged machined nitinol. In particular, published papers between 2007 and 2021 have been reviewed. Literature is explored concerning the method of analysis, parameters of research interest and the problems/issues arising from the literature. Diverse methods were employed to evaluate the surface integrity of nitinol after machining. Commonly, both mathematical optimization and microstructural characterizations are used to suggest ideas. Mathematical optimization has been in two broad perspectives, namely, experimental design-based methods such as orthogonal arrays, signal-to-noise ratios, Taguchi's utility and quality loss function, Box-Behnken design and response surface methodology. The non-traditional optimization schemes such as the differential evolution, multi-objective optimization based on ratio analysis and teaching learning-based optimization have been applied. For microstructural characterization, tools to evaluate the surface integrity of nitinol such as field emission scanning electron microscope and energy dispersive X-ray have been deployed. Parameters such as residual stress, geometric deviation, microhardness and profile accuracy are pursued to be optimized. It is known that various literature reviews in previous years have studied the surface integrity problem of nitinol using large-scale approaches. However, in this article, a brief review is prescribed and this work reveals how the surface integrity analysis of nitinol has been tackled in the literature.
Kaizen Method Implementation in Industries: Literature Review and Research Issues Muhammad Julian Syaputra; Siti Aisyah
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 2: June 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i2.15408

Abstract

A business philosophy in a corporate organization that involves all elements from the leadership level to workers to contribute to the processes that support an organizational system, such as work and time efficiency, work environment and safety, waste management, production processes and other processes.  Kaizen has been widely accepted by various types of industries, both manufacturing and services, in response to these requirements, because kaizen itself can eliminate waste without additional resource requirements.  This research aims to know and provide information about Kaizen implementation from various types of industries.  This paper uses the literature review method of research papers that generally apply kaizen. A total of 52 research papers have been reviewed as research contributions, type of research methodology adopted, techniques and tools used, type of industry, and year of publication. The results obtained were published in many researchs about kaizen at 2012-2019, Kaizen approach can solve kind of problems such as quality, consumption energy, lead time, performance problem, etc. to improve the work system, widely applied in various industries such as: manufacturing, logistics, construction, SME, service, healthcare, pharmaceutical and processes for continuous improvement.
Optimization and Selection of Boring Process Parameters for IS 2062 E250 Steel Plates Using Hybrid Taguchi-Pareto Box Behnken-Genetic Algorithm Method Yakubu Umar Abdullahi; Sunday Ayoola Oke
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 2: June 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i2.15443

Abstract

The integrated Taguchi-Pareto-Box-Behnken design (TP-BBD) method has been recognized as an effective method for boring operation optimization. Yet it has further optimization opportunities even with less information availability. In this study, the genetic algorithm (GA) was integrated with the TP-BBD method to form a novel TP-BBD-GA method to effectively deal with the paucity of boring data and generate multiple optimal solutions. Numerical simulation coupled with experimental data analysis was conducted to ascertain the effectiveness of the proposed method using literature data. To combine the procedure of the constituent methods, the authors analysed the literature data with the Taguchi-Pareto method. Then the output was used as inputs to the Box Behnken design method. Afterwards, linear programs with objective functions and constraints were formulated and introduced into the genetic algorithm structure and then solved using the python language. The results revealed that the proposed method exhibits good performance for boring operations as it predicts the best parameter i.e. speed, feed rate, depth of cut and noise radius values for optimal surface roughness values. This article offers a unique contribution to the boring literature since it examines an additional optimization procedure to the existing one. The study analyzes the optimization behaviour of the IS 2062 E250 steel plates in the boring process and gives an easy procedure for process engineers on improving the boring operations.
A Systematic Review of Kaizen Approach in Industries Barata Sutrisno; Erry Rimawan; Tosty Maylangi Sitorus
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 2: June 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i2.14131

Abstract

Today industries are currently entering the best possibility to action on rapidly changing customer needs, desires and experiences. In the environment of industries, as well as cultural competitiveness and improving market share in the global narrowing market saturation is a big concern, the concept of continuous improvement of manufacturing processes strive to the best experiences to customers has become necessary. Market competition and continuously increasing levels of service and needs for customer satisfaction have proven to be the ultimate driver of an organization's key performance continuous improvement. Adaptable Kaizen refers to sustainable continuous improvement in performance delivery, cost, and quality to a satisfied customer. This paper contribution to define research variable domination in various tools used in Kaizen concept and research variable of Kaizen dominated by VSM and Continuous Improvement with the same percentage number 21%, then Lean 18%, TPM 10%, 5S 8%, PDCA 4%, in this calculation one research paper can use more than one tools of Kaizen.
Risk Identification in Residential Construction Project: A Systematic Literature Review Daniel Kurniawan Sunarjo; Priyawan Priyawan
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 2: June 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i2.15484

Abstract

Risk is always present in every construction project. Residential building construction projects have various risks and are likely to be affected due to their difficulty and multiple operations and threats.   Purpose of this journal is to understanding risk factors in a residential construction project spread over several countries, with various project size and complexity, and to get up to date research information. Risk factors are divided into three categories, namely internal factors, projects, and external factors.  Three categories above is further divided into two technical and non-technical risk. This journal review 40 selected journals that discuss risk identification and risk management in residential construction projects.   Risk factors in residential projects are generally very diverse and give us an idea that the interrelationships between the parties with an interest in the project contribute to the risk factors themselves occurring in the course of the project. It has been mentioned that the risk factors that occur in residential projects are something that is commonplace in various countries, in this case contributing to the success of the project. Outline on this journal has succeeded in providing information on the extent to which risk factors are currently occurring and there is a high potential for a change in the percentage of risk factors according to the classifications presented in this journal for other construction projects in the future.
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.
IJIEM - Indonesian Journal of Industrial Engineering and Management, Vol. 3 No. 2, June 2022 Admin Admin
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 2: June 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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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.

Page 5 of 8 | Total Record : 74

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