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INDONESIA
Jurnal Sistem dan Manajemen Industri
Published by Universitas Serang Raya
ISSN : 25802887     EISSN : 25802895     DOI : -
Core Subject : Engineering,
Engineering Industrial & Manufacturing Engineering Transportation
This journal aims to publish the results of research in the field of Industrial Engineering is published twice a year, managed by the University of Serang Raya. The scope of Sciences covers Operations Research, Manufacturing System, Industrial Management, Ergonomics and Work System, Logistics and Supply Chain Management, and other scientific studies in accordance with scope field of Industrial Engineering research.
Arjuna Subject : -
Articles 256 Documents
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Application of lean six sigma methodology to improve the weight inconsistency problem of coffee powder packaging Aziz, Nik Alimi Nik; Ahmad, Rosmaini; Mustafa, Shaliza Azreen; Sin, Tan Chan; Jusoh, Muhammad Shahar
Jurnal Sistem dan Manajemen Industri Vol. 5 No. 2 (2021)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v5i2.3729

Abstract

This paper presents a continuous improvement (CI) project based on the application of Lean Six Sigma (LSS) methodology. This project was carried out at coffee manufacturing industry located in northern area of Malaysia. The focus of this presented CI project is to improve the weight inconsistency problem of coffee powder packaging. The presented CI project was mainly guided with Six Sigma methodology of Define, Measure, Analyze, Improve and Control (DMAIC) steps, and related Lean tools applications. The step of Define summaries the overall view of CI project. In the step of Measure, current level of sigma based on defect per million of opportunities (DPMO) calculation was determined. Initially, 6% of rejected products were recorded, which it presents the sigma level at 3.1. In the step of Analyze, a series of team-based activities towards root cause identification was carried out. It included the applications of cause effect (CE) analysis and possible causes prioritization and close observations on packaging process. In the step of Improve, the related Lean tool was proposed to improve the problem under study. In the final step of Control, related supportive actions were suggested to sustain the effectiveness of the proposed solution. There are fourteen possible causes are initially identified in CE analysis and based on team’s evaluation process of possible causes prioritization four causes are collectively to be the most possible of root cause(s). Three close observation sessions were carried out to finalize the most possible root cause of the problem. Result strongly suggested that the high variation of coffee powder’s size and inconsistency is the root cause. An improvement strategy based on Lean Manufacturing approach called ‘poka yoke’ is proposed. The proposed improvement strategy was then validated based on real packaging process scenario. Result shows that the proposed improvement strategy is significantly effective to solve the problem with 0% of reject product was recorded so far, where it is not only produced the product within the acceptable weight of 215 and 208 grams, but also presents the reduction of weight fluctuation that close to ideal weight of 208 grams.
Application of lean manufacturing technology in a milk manufacturing company Onifade, Morakinyo Kehinde; Oroye, Olufemi Adebayo
Jurnal Sistem dan Manajemen Industri Vol. 5 No. 2 (2021)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v5i2.3736

Abstract

This work presents the application of lean management principle in the area of waste elimination in a powder milk plant of a production company. The existing manufacturing procedure for the company’s plant was evaluated, and a lean manufacturing technique was developed for the plant. To achieve this, a time series analysis was carried out on the econometric data obtained, and a future forecast predicting losses and usage was predicted based on the practised manufacturing procedures. The econo­metric linear transfer function technique applied to the actual usage and actual loss data obtained filtered the waste in the production process and generated forecast values for actual loss and usage. This revealed that there had been poor manufacturing practices in the factory. The findings from this research can be used as a guide to managers on wastage control in a production system.
Performance evaluation of after-sales service partners in the power tools industry Aljabar, Muhammad Wahid Malik; Hasibuan, Sawarni
Jurnal Sistem dan Manajemen Industri Vol. 5 No. 2 (2021)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v5i2.3985

Abstract

After-sales service (ASS) is a product support activity provided to customers; after-sales service that focuses on quality can create a sustainable competitive advantage. This study aims to the ASS performance, analyze the causes of performance constraints that occur in ASS and recommendations for improving the performance of ASS conceptually. Service partner performance achievement can be assessed from four categories, i.e. very good, good, bad, and poor, based on the actual level of performance compared to performance targets. The sample of this research is 12 ASS partners in the electrical equipment industry in West Java and Jakarta. Factors causing failure were analyzed descriptively using the fault tree analysis (FTA) method, which involved experts in focus group discussions (FGD). Based on the evaluation, 25% of partners were rated good, 50% poor, and 25% very poor. Partner performance achievement is carried out on 22 performance indicators, of which 20 performance indicators have not achieved a good rating. These indicators relate to brand issues, warranty, training, parts control and stock management, pricing, and service systems, including service centers and service facilities. The proposed concept that becomes a recommendation for improving the performance of power tools ASS is improving the operating system and the selection of partners in the service center and service dealer categories with industrial customer segmentation.
Fuzzy risk priority number assessment to detect midsole product defects Krisnaningsih, Erni; Sulistyo, Arif Budi; Rahim, Abdul; Dwiyatno, Saleh
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 1 (2022)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v6i1.4013

Abstract

The quality of midsole products significantly impacts the quality, durability, and comfort of the users of shoe products manufactured by ABC company. The high percentage of the average number of product defects based on product yield data for 12 months is 3.1% which exceeds the average number of product defects required by the company by 2%. There are six types of defects in the midsole: yellowing, porous, bubbles, broken, over left material and trimming. Three types of midsole product defects from six types of defects are the focus of improvement based on the Pareto concept, the name of the type of defect is yellowing. Porous and over left material with a total defect percentage of 82.9%. This study aims to evaluate flaws in the midsole production process using a method that combines failure mode and effect analysis (FMEA), fuzzy logic, and Pareto diagram analysis. FMEA is used in shoe manufacturing to identify failure modes, their causes, and their effects. In contrast, fuzzy logic methods for input factors, such as occurrence (O), severity (S), and detection (D), are used to obtain a fuzzy risk priority number (FRPN). The assessment using rule-based FRPN provides strong evidence that the proposed methodology is logically useful for prioritizing the value of the RPN.
A mobile application for assessing the product success on crowdfunding campaign: the development and usability testing Pasmawati, Yanti; Wijayanto, Titis; Tontowi, Alva Edy; Hartono, Budi
Jurnal Sistem dan Manajemen Industri Vol. 5 No. 2 (2021)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v5i2.4073

Abstract

Crowdfunding is one of the alternative sources of finance for product-based startups. Products are funded if the campaign is considered to be successful in reaching the target. The assessment of the success rate of product campaigns develops into three successive levels, namely overfunding, successful and unsuccessful. Due to the complication of setting up a product campaign on an online crowdfunding platform, a mobile application to aid campaigners needs to be developed. Moreover, it is essential to evaluate its ease to use. This study aims to (1) develop an android-based application, (2) evaluate the usability of the application based on user perceptions. The application ('POSCA') was developed by emphasizing user experience (UX), while the Use Questionnaire evaluated its usability. Ten participants were invited to evaluate the system usability and interface. The results suggest that 'POSCA' has good scores of usability: ‘efficiency’ = 49.11% in the fifth trial, ‘very-easy-to-learn’ (95%), ‘useful’ (85%), ‘easy-to-use’ (87%), and ‘satisfy-the-users’ (88%).
Total productive maintenance and companies performance: a case study of fast moving consumer goods companies Oroye, Olufemi Adebayo; Sylvester, Bamisaye Olufemi; Farayibi, Peter Kayode
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 1 (2022)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v6i1.4185

Abstract

TPM implementation by FMCG firms in Ado/Ota industrial hub of Ogun State Nigeria was investigated, and its influence on the firm's performance was analyzed. Primary data were collected through the administration of an online questionnaire. A total number of 98 respondents participated in this research. The analysis was conducted through descriptive analysis and structural equation model (SEM) using a smart partial least square (PLS) software. It was observed that TPM implementation had a positive influence on firms' performance. The descriptive analysis. It noted that most firms explored in this study had implemented TPM. It implies that above ninety percent of companies in the industrial hub are practicing TPM. The data employed in this research are limited to those obtained from FMCG firms in Ado/Ota in Ogun State, Nigeria. However, this study's findings can represent other firms in other locations where TPM is practiced. This research will be helpful for FMCG firms in Nigeria, especially those in Ogun State. TPM was measured using the following indicators: 5S, Autonomous Maintenance, Kobetsu Kaizen, Planned Maintenance, Quality, Education and Training, Office TPM, and Health, Safety and Environment. Eight indicators measure The company's performance: Product Quality, Cost, Inventory, Lead Time, Processing Cycle Time, Customer Complaints, Equipment Efficiency and Overall Productivity. The research review shows that the TPM implementation significantly affects firms' sustainable performance. In addition, the result shows that local firms in the survey area are yet to key into implementing TPM practices fully.
Effects of ergonomics intervention on work accidents in the construction sector and their effect on productivity Asih, Ia; Setiawan, Indra; Hernadewita, Hernadewita; Hendra, Hendra
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 1 (2022)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v6i1.4242

Abstract

Construction services are one of the most important and strategic sectors supporting the achievement of development in Indonesia. Through this sector, Indonesia can experience stable economic growth. In 2020, accidents in the construction sector were the highest cases compared to other sectors, with a death rate of more than 60,000 cases annually. The role of Occupational Health and Safety (OHS) Management and the application of its requirements when working at heights is crucial to protect against the dangers of work accidents due to high risk. This study aims to determine the relationship between the factors that affect work accidents in the construction sector and their effect on Productivity moderated by ergonomics. This research was conducted by analyzing surveys from work-at-height workers in the construction sector, with 107 respondents from projects in Jakarta. The data analysis method used is Structural Equation Modeling (SEM) based on non-covariance, namely Partial Least Square (PLS). Data analysis using Smart PLS 3.0 software. The results show that Ergonomics has no direct effect on Productivity, with p-value 0.313. Work Accidents do not directly affect Productivity with p-value 0.333. OHS Management does not directly affect Work Accidents with p-value 0.013. OHS Management has a direct effect on Productivity with p-value 0.000. Application of OHS Requirements has a direct effect on Work Accidents with p-value 0.527. Application of OHS Requirements has a direct effect on Productivity with p-value 0.001 and Application of OHS Requirements through Ergonomics has no direct effect on Productivity with p-value 0.000.
Integration of fuzzy AHP and fuzzy TOPSIS for green supplier selection of mindi wood raw materials Ramadhanti, Viola Indira; Pulansari, Farida
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 1 (2022)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v6i1.4332

Abstract

The current industrial development is related to increasing global action and public awareness of environmental issues with Sustainable Development Goals (SDGs). It makes the implementation of green supply chain management on Green Supplier Evaluation and Selection (GSES) more appreciated because it can affect the company's environmental perfor­mance. Companies that can improve their environmental performance will be able to increase their competitive advantage and have an impact on increasing revenue, market share, and a more positive green image of the company. Currently, there is no research about green supplier selection in the furniture industry, especially in Indonesia. So, it is necessary to research the industry because it hugely affects environmental performance. One of the companies engaged in the furniture industry is X company. They are selecting their suppliers only based on the ownership of the environmental certification of each supplier and the quality of the raw materials. Environmental criteria such as the green image in the community and environmental competency have not been considered. On the one hand, X company also wants to realize its mission of environmental sensitivity. This study aims to select the best green supplier of mindi wood raw materials by integrating fuzzy AHP and TOPSIS because these methods can make practical multicriteria decisions and obtain more valid results. The results obtained indicate that the 8th green supplier has the highest preference value of 0.777 so it is called the best alternative for mindi wood raw materials.
Implementation of six sigma approach for increasing quality formal men’s jackets in the garment industry Sjarifudin, Didin; Kurnia, Hibarkah; Purba, Humiras Hardi; Jaqin, Choesnul
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 1 (2022)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v6i1.4359

Abstract

This study aims to implement the Six Sigma method on formal men's jacket products in the garment industry to increase the level of sigma. The methodology is based on the Define, Measure, Analyze, Improve, and Control (DMAIC) approach. The new approach in this study is the determination of 5W+1H using a Focus Group Discussion (FGD) with five expert judgments. The design of this study has applied the Six Sigma method at the Measure stage. It is a measurement before improvement and after the Control stage as a measurement after improvement. The results of this study have increased the level of sigma from 3.5765 to 3.7839, so there is an increase of 5.48%. Increasing the sigma level contributes to a decrease in defects at the finish line by 44.09% every month. Implementing the Six Sigma method to the DMAIC approach has succeeded in increasing the level of sigma, automatically reducing the percentage of defects and increasing the productivity of formal men's jackets in the garment industry.
Integration of FMEA method and overall equipment effectiveness to increase effectiveness of TS analyzer machine Atikno, Welly; Kusumah, Lien Herliani
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 1 (2022)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v6i1.4368

Abstract

Total Sulfur Analyzer (TS Analyzer) is one of the machines in the laboratory to test the total sulfur content contained in coal samples. Technically, specifications and use are regulated by international standards. In 2020, the downtime of these tools was very high, causing the productivity of surveyors to decrease. Low productivity will have an impact on the company's losses. The productivity of this equipment and machines is crucial to maintaining the company's success in its business processes. This study aims to measure the effectiveness of the operational performance of the TS Analyzer machine in the laboratory, analyze the causative factors and make improvements. This research uses the integration method of Failure Mode And Effect Analysis (FMEA) and Overall Equipment Effectiveness (OEE). Based on the analysis of the causes of the problem, the low OEE value is caused by the high breakdown loss. Based on the FMEA analysis, it was found that the operator was wrong in operating the machine with RPN 343, electrical instability with RPN 343, unstable temperature with RPN 343 and improper thermocouple installation. The results showed that the OEE value of the TS Analyzer machine has increased after the improvement.

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