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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 7 Documents
 1 
Search results for , issue "Vol. 8 No. 2 (2024): December" : 7 Documents clear
Integration of lean and green manufacturing to speed up the automotive parts production process for sustainability orders from customers Kurnia, Hibarkah; Sulaeman, Asep Arwan; Pasha, Vebina Sheila
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 2 (2024): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i2.8831

Abstract

Fulfilling orders from the automotive industry customers is a necessity. Problems arising from product delivery to customers are due to production delays, decreased production yields, and environmental pollution caused by production waste. The production process often experiences wasted time producing four-wheeled vehicle spare parts and a high percentage of production defects. This research aims to reduce production process time, provide solutions to reduce waste, and balance production stock according to customer orders. This research uses the Lean Manufacturing (LM) approach with the Value Stream Mapping (VSM) method combined with the Green Manufacturing (GM) approach with the Just in Time (JIT) and Kanban methods. This research resulted in the production process time for four-wheeled vehicle spare parts decreasing from 11.0 days to 4.5 days, meaning a decrease of 159%. It affected production results, increasing from average monthly production of 42,917 pcs to 59,990 pcs, meaning an increase of 128%. Meanwhile, the shipment plan target has been achieved at 96% of the plan order. Meanwhile, Turn Over Inventory (TOI) results are under 30 days, so customer order continuity exists.
ENGLISH English Language Agustin, Rista Reza Virzinia; Mufidah, Ilma; Martini, Sri; Caesaron, Dino
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 2 (2024): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i2.8924

Abstract

A market levy is a type of general service levy collected from traders to cover the costs of using market facilities and obtaining permits from the local government. The benefit of implementing digital levy payment is that the levy payment service can be accessed online, facilitating payment transactions for traders. However, the researchers observed issues in the Trade Sector of the West Bandung Regency’s Department of Industry and Trade, particularly regarding the inefficient collection of market levies. Using a digital fee collection system can reduce several risks for the government, such as preventing leakage of fees that generally occurs with manual collection, errors in refunds and calculations, and providing protection during cash collection. The implementation of this digital levy aims to maximize Regional Original Revenue and reorganize the market system. This digital payment system was designed using the design thinking method. The design thinking method has effectively helped identify user needs and create solutions. The usability testing results using the Useberry application for the West Bandung Industry and Trade Office’s levy application received positive responses, as all 10 respondents of end users completed the tasks given. Furthermore, the 26 UEQ items were grouped into six categories. The assessment of the six categories is generated good scores. Based on this, the user experience of the West Bandung Industry and Trade Office’s levy application can be categorized as good.
Performance evaluation using data envelopment analysis - stepwise modeling approach: A case study of construction industries in Indonesia Putri, Erni Puspanantasari; Parinov, Ivan A.; Plando, Almaceley S.
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 2 (2024): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i2.8936

Abstract

The construction industries are inextricably linked to employment, investment, the quantity of infrastructure building projects, and other economic sectors in Indonesia. They serve as catalysts for the expansion of goods and service production. Apart from having a strategic role in the national economic, construction companies also experience various obstacles to developing their businesses. These obstacles include weakening the IDR exchange rate against the US dollar, regulatory and legal frameworks, labor and skills shortages, economic and financial instability, and environmental and sustainability concerns. In order for the construction industry to survive, develop, and remain competitive in the face of international competition, it is crucial to evaluate its performance constantly. This research aims to evaluate the construction industry's performance in Indonesia. There are 151,183 construction companies included in this study. Hence, these companies will continue to survive, grow, and compete in the face of global competition. The methods applied in this research are an input-oriented DEA envelopment model and a stepwise modeling approach. The research results indicated that 3% of the Indonesian construction industry is made up of efficient DMUs, and the remaining 97% are inefficient DMUs. DMUs are classified according to the distribution of efficiency scores. It is considered that for the classification of inefficient DMU, there exist four ranges, Rs: R1 (ES = 0.16-0.99), R2 (ES = 0.050-0.15), R3 (ES = 0.015-0.049), and R4 (ES = 0.000-0.014). The criteria for each classification, in terms of the level of effectiveness, are as follows: i) R0 Range (ES = 1]): Effective; ii) R1 Range (ES = 0.16-0.99): Relatively Low Ineffectiveness; iii) R2 Range (ES = 0.050-0.15): Moderate Ineffectiveness; iv) R3 Range (ES = 0.015-0.049): Significant Ineffectiveness; and v) R4 Range (ES = 0.000-0.014): Very High Ineffectiveness. The percentage of each classification is as follows: inefficient DMU-R1 0%, inefficient DMU-R2 30%, inefficient DMU-R3 37%, inefficient DMU-R4 30%.
Economic production quantity model involving repair, waste disposal, electricity tariff, and emissions tax Utama, Dana Marsetiya; Lubis, Imtiaz Habib
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 2 (2024): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i2.8961

Abstract

This research aims to develop a new model for a comprehensive Economic Production Quantity (EPQ) by considering repair processes, waste disposal, electricity tariffs, and emission taxes to optimize inventory management decisions in two shops. The first shop is responsible for providing new manufacturing and remanufacturing products required by the second shop, which focuses on inventorying finished products to meet demand. The main objective of the proposed Model is to minimize total cost. The Model is formulated as Integer Non-Linear Programming (INLP) to represent the complexity of production and inventory decisions. This study applies a Genetic Algorithm (GA) approach run using Microsoft Excel software with the Solver feature To optimize the solution of the proposed Model. Sensitivity analysis shows that while increases in electricity tariffs and emissions taxes significantly increase the total costs incurred by firms, these factors do not directly reduce total energy consumption or carbon emissions. Instead, increased costs generally result in smaller optimal production batch sizes, which does not necessarily translate into reduced energy use, as operational energy requirements remain constant. Our findings emphasize the delicate balance between cost components and energy use, highlighting that increased electricity costs and emissions do not directly lead to overall cost savings or improved energy efficiency.
Analysis of production area layout design based on lean and green thinking in the micro, small and medium enterprises (MSME) industry Amrina, Uly; Oktora, Raden Adriyani; Widaningrum, Dyah Lestari; Mayangsari, Ika Devi
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 2 (2024): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i2.8981

Abstract

This research aims to analyze and design the layout of production areas based on Lean-Green (L&G) Thinking in Micro, Small and Medium Enterprises (MSMEs) Scale Companies. By focusing on operational efficiency and sustainable production processes, this research can help MSMEs increase their competitiveness in an increasingly competitive market. To support this goal, researchers used the Systematic Layout Planning (SLP) method combined with the Promodel 6.0 simulation tool. The SLP method helps in evaluating the current MSME layout system and identifying areas that can be made more efficient by considering the criteria of distance, time and electrical energy consumption. Meanwhile, simulation techniques are used to help formulate appropriate lean-green strategies to increase process efficiency and minimize environmental impacts. Evaluation of the company's current layout resulted in an increase in operational efficiency of 1.55%, a reduction in inventory of 83%, and a reduction in electricity consumption of 26%. This research recommendation includes concrete steps to improve the layout of production areas that support MSMEs to become agents of change that combine operational efficiency with environmental responsibility.
Formulating purchasing strategies with kraljic portfolio matrix: A case study in an investment management company Ulkhaq, M. Mujiya; Pratiwi, Trisna Nagris
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 2 (2024): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i2.8999

Abstract

Procurement is important in a company because it will directly affect how much a company can reduce costs. One of the activities in the procurement process is purchasing. PT XYZ has never conducted a supplier analysis or analysis of items purchased from suppliers. PT XYZ only purchases items daily; if managed properly, it can save the company's expenses and improve supplier relationships. This study aims to formulate purchasing strategies by implementing the Kraljic Portfolio Matrix (KPM). KPM has been widely applied to various cross-sectoral companies to manage suppliers more effectively. KPM divides items provided by suppliers into four quadrants based on supply risk and profit impact to minimize supply risk and maximize purchase profit. Thirty-five sup-pliers were analyzed in this study. The result shows that of the four KPM quadrants, three quadrants are filled, namely the non-critical quadrant (containing 12 suppliers), bottleneck (14), strategic (9), and none of the suppliers located in the leverage quadrant. Purchasing strategies based on these three quadrants are then formulated, and a total of seven strategies are produced. An analysis of the dominance of buyers and suppliers is also given to find out the relationship and balance of power between these parties.
A compromise-based MADM approach for prioritizing failures: Integrating the RADAR method within the FMEA framework Komatina, Nikola
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 2 (2024): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i2.9283

Abstract

Multi-Attribute Decision-Making (MADM) methods are essential in decision-making processes, particularly in solving problems related to ranking and classifying alternatives. Among the MADM methods frequently utilized in the literature for ranking alternatives are distance-based or compromise-based methods. These methods have been widely applied for decades, with ongoing development leading to new approaches. One such approach is RAnking, based on the Distances And Range (RADAR) method. This novel distance-based method evaluates alternatives by considering their distance relative to the best and worst alternative values for a given criterion and the range between them. This paper applies the RADAR method to rank failure modes identified through a standard Failure Modes and Effects Analysis (FMEA) in an automotive industry company that produces rubber and plastic products. The results obtained from the RADAR method are compared with those derived from the traditional Risk Priority Number (RPN) approach. The comparison demonstrates that the RADAR method provides more distinct rankings, reducing the occurrence of ties between alternatives and thus offering a more nuanced and reliable decision-making tool in the context of failure mode prioritization.

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