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OPERATION EXCELLENCE: Journal of Applied Industrial Engineering
Published by Universitas Mercu Buana
ISSN : 2085429     EISSN : 26545799     DOI : 10.22441/oe
Core Subject : Science,
Decision Sciences, Operations Research & Management
The aim of Operations Excellence: Journal of Applied Industrial Engineering (OE Journal) is to publish theoretical and empirical articles that are aimed to contrast and extend existing theories, and build new theories that contribute to advance our understanding of phenomena related with industrial engineering and industrial management in organizations, from the perspectives of Quality Engineering, Productivity Improvement, Logistic & Distribution, Supply Chain Management, Performance Management & Improvement System, Modelling, Operations Management, Optimization, Green Manufacturing.
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Articles 10 Documents
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Search results for , issue "Vol. 16, No. 3 (2024): OE November 2024" : 10 Documents clear
Improving the performance of enterprise resource planning with the implementation of Systems, Applications, and Products in Data Processing (SAP) in a car seat manufacturing company Widya, Adi Rusdi; Supriyati, Supriyati
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 3 (2024): OE November 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i3.119

Abstract

Using an Enterprise Resource Planning System (ERP) during the Industrial Revolution 4.0 is a long-term investment for companies looking to enhance efficiency, performance, productivity, and decision-making capabilities. Typically, ERP systems employ a centralized database to streamline various business processes, reducing manual labor and improving workflows. These systems often include a Dashboard that provides real-time data for measuring productivity and profitability. Updated instantly when entered into the system, this information allows companies to make quick, informed decisions based on accurate, up-to-date internal data. However, discrepancies between transaction processes, such as mismatches in the quantity of goods recorded in the SAP system and actual production, can hamper the effectiveness of ERP control. To address this, research has been carried out to process information in real time and with greater accuracy. The study involves a literature review, hardware prototypes, and program development, ultimately leading to increased SAP user accuracy from 63% to 86%. This improved accuracy helps identify factors hindering optimal SAP performance and provides recommendations for resolving transactional issues. Ultimately, consistency and commitment from users and relevant stakeholders are vital for maintaining an optimally functioning ERP system.
Forecasting demand for frozen whole blocks of swanggi fish at PT. Hatni using a comparison of winter and decomposition methods Muslimah, Tsaqofi Bintang; Hidayat, Hidayat; Negoro, Yanuar Pandu
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 3 (2024): OE November 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i3.121

Abstract

PT. HATNI specializes in the export of frozen fish, particularly Swanggi (Priacanthus tayenus) and Kuniran fish. This study focuses on Swanggi fish due to its higher demand in the export market. Swanggi fish, a species of ray-finned marine fish, is characterized by blackish spots, large eyes, and a pink coloration, belonging to the family Priacanthidae. The objective of this research is to identify an effective forecasting method for estimating future export demand for frozen whole Swanggi fish, enabling the company to optimize its production and supply chain planning. Using 2023 data with evident seasonal patterns, trends, and seasonality, the study compares the Winter Multiplicative method and the Decomposition method. Through trial and error, the Winter Multiplicative method was identified as the most accurate, with parameters of α = 0.9, β = 0.1, and γ = 0.9. This method yielded the lowest error values: MAD of 1,602, MSD of 9,161,073, and MAPE of 3%. These results provide PT. HATNI with a reliable forecasting tool to meet future market demand effectively.
Analysis lean and green manufacturing in the ship production process at PT XYZ Agustin, Alika Kurnia; Widjajati, Endang Pudji
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 3 (2024): OE November 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i3.120

Abstract

The manufacturing industry, especially in sectors like shipbuilding, is experiencing rapid growth and heightened competition, necessitating ongoing enhancements in productivity and operational efficiency. PT XYZ, a prominent shipyard in Indonesia, is dedicated to advancing its business operations, which include new ship construction, maintenance, repair, and engineering consultancy. Despite these efforts, the company faces significant challenges in optimizing production processes, resulting in inefficiencies and potential delays in project delivery. This study examines waste in ship production processes at PT XYZ using lean manufacturing principles and proposes strategies for waste reduction through green manufacturing approaches. By identifying and addressing issues such as waiting times and inventory waste in fabrication workshops, the research seeks to boost operational efficiency and secure a competitive edge in the shipbuilding industry. The results reveal that implementing targeted improvements using VALSAT and other lean methodologies has markedly enhanced system efficiency. The identification and rectification of waste sources have led to increased production efficiency and improved product quality, demonstrating the effectiveness of these lean strategies in refining manufacturing operations.
Designing marketing strategy using SWOT and Blue Ocean strategy to increase sales and competitiveness at PT Zaga Krida Teknik Larisang, Larisang; Putri, Meylia Vivi
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 3 (2024): OE November 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i2.113

Abstract

The intense competition in the business world forces companies to devise strategies to outperform their rivals. As more businesses target the same market segments, the available market becomes increasingly crowded. To address this challenge, a strategic analysis is essential. This research employs the SWOT method and the Blue Ocean Strategy. The SWOT analysis identifies the company’s strengths, weaknesses, opportunities, and threats, helping to assess its competitive position. Meanwhile, the Blue Ocean Strategy aims to shift from a highly competitive market (Red Ocean) to a new, uncontested market (Blue Ocean). Data analysis results show the need for strategic adjustments. SWOT analysis highlights areas where the company lags compared to competitors, while the Blue Ocean Strategy outlines actions to access untapped markets, increasing product sales. The study reveals that PT Zaga Krida Teknik can escape fierce competition by addressing existing shortcomings and developing unique features. Specifically, the company should introduce three new elements: branded nameplates, employee training, and a website. Additionally, it must improve product quality, promotional activities, and product guarantees. These strategic changes are expected to enhance the company's market position and drive growth.
Simulation optimization of truck queue loading process discrete simulation approach with Promodel Software at PT. XYZ Ardiansyah, Rahandi; Akbar, Muhammad Ali; Hijuzaman, Osep
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 3 (2024): OE November 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i3.122

Abstract

Warehouses have an important role for companies, including PT. XYZ located in Karawang. This research aims to optimize truck queues in the loading and loading process at PT. XYZ uses a discrete simulation approach with ProModel software. The problem of long truck queues and high delivery order (DO) waiting times disrupted the operational efficiency of distribution facilities. In this study, 3 simulation scenarios were tested to evaluate the impact of adding loading docks on throughput, waiting time, and resource usage by removing the Delivery Order (DO) waiting time. The data collected includes loading and loading process time, namely truck arrival data, warehouse information data, transport truck information data, and product information data implemented using ProModel software and then validated through replication tests and validity tests using the t-test method. The simulation results show that using scenario 1, the addition of one loading dock increases throughput by 45% and reduces the average wait time from 18 minutes to 9.3 minutes per truck. In addition, the use of resources becomes more optimal, increasing overall productivity. With these results, the study concludes that the addition of loading dock is an effective solution to overcome bottlenecks in the loading process at PT. XYZ, which can be implemented to improve operational efficiency.
Reduce mean time to repair of mining equipment with lean six sigma Hia, Selamat W.; Pramudjito, Prasetyo Adji Dian
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 3 (2024): OE November 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i3.125

Abstract

As the size and complexity of mining equipment grow, the impact of equipment failure becomes increasingly critical, often leading to costly downtime and production delays. Mining equipment performance depends on several factors, including equipment reliability, the operating environment, maintenance efficiency, operating processes, and the technical expertise of the personnel. Improving equipment reliability is essential to address these challenges, and one effective approach is to reduce the mean time to repair (MTTR), which significantly affects equipment availability.  This study presents a case study on reducing the MTTR of the starter motor for coal mining equipment using the Lean Six Sigma method. Lean Six Sigma combines the principles of lean manufacturing and Six Sigma to identify inefficiencies and reduce variability. The findings reveal a substantial reduction in MTTR from 110 minutes to 10 minutes. Statistical analysis using a two-sample t-test confirms the significance of the improvement, with the process capability index (cpk) increasing from -2.94 to 6.96. This case study demonstrates the potential of Lean Six Sigma to address critical maintenance challenges, improve operational efficiency, and enhance equipment reliability in the mining sector.
The proposed quality improvement of tofu production at UD. XYZ using DMAIC method Purbantari, Adek Dhea Resmi; Zunaidi, Rizqa Amelia
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 3 (2024): OE November 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i3.124

Abstract

Tofu is known as people's food because the price is cheap and easily accessible by all levels of society. Tofu is in great demand. Besides its affordable price, this food is also healthy and can be processed into various dishes. Quality control is essential for a company to minimize the costs caused by product defects. It can help the company if there are irregularities in the production process. With a large number of irregularities in production, the company will experience losses in quality, cost and quantity. This research was conducted to control and improve the quality of tofu at UD. XYZ uses the Six Sigma method through the Define, Measure, Analyze, Improve, and Control stages. Based on the analysis results, the sigma value is 3.4, and the DPMO value is 29,189, indicating that improvement is still needed to reduce defects that arise so that the sigma value can be increased. Based on this research, it is suggested to improve the sigma quality by investing time and money to train new company employees and improve the equipment used in the tofu production process. It is purchasing automated equipment to support better production processes. Research on enhancing the quality of tofu production should be carried out periodically at UD. XYZ, as part of the company's continuous improvement. 
Enhancing process optimization through adaptive jig design in lean manufacturing: insights from Universitas Mercu Buana's laboratory Qulub, Irkham Syifaul; Herlambang, Hendi; Amrina, Uly; Ikatrinasari, Zulfa Fitri
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 3 (2024): OE November 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i3.118

Abstract

This study aims to enhance efficiency in the Lean Manufacturing practicum at the Lean Manufacturing Laboratory of Universitas Mercu Buana by applying PDCA (Plan-Do-Check-Act) and TRIZ (Theory of Inventive Problem Solving) methods. The primary focus was the design and implementation of a flexible jig tool to reduce processing time and increase precision in the vacuum, trimming, and assembly stages designing and implementing. Results showed that the flexible jig reduced process time by 37.8%, from 1431 seconds to 890 seconds, and improved the level of automation from fully manual to the use of flexible tools. Further evaluation revealed significant gains in productivity. The study utilized tools such as Value Stream Mapping (VSM), Operation Process Chart (OPC), and the seven waste concepts within the PDCA framework to identify key issues in the manufacturing process. The application of TRIZ principles in tool design also significantly enhanced production efficiency. This research presents compelling evidence that systematic approach like PDCA and creative methodologies for instance TRIZ can substantially improve operational performance in light manufacturing practicums. Additionally, it highlights the important role of higher education in fostering technological innovation and industry collaboration to tackle evolving manufacturing challenges.
Quality improvement of DB-CDP with integration of CRISP-DM and six sigma method Alfiandi, Ahmad; S.D, Triwulandari; Fitriana, Rina
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 3 (2024): OE November 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i3.126

Abstract

The DB-Customer Display Product (CDP) is a product that has a high level of defects with the type of attribute that the display light is off. The quality improvement is carried out using the integration of the Cross-Industry Standard Process Data mining (CRISP-DM) method with Six Sigma. The technique using classification technique with the CART algorithm to identify the leading causes of defects in the CDP and association processes using the Frequent Pattern-Growth Algorithm to make association rules between the combination of production support data sets. The results of both algorithms known attributes that cause high rejects are poor solder and solder Short. Implementation of proposed improvements made at the deployment stage, there are work instructions for re-soldering, tip checking forms, and Standard Operating Procedures for solder tip replacement. The result from implementation, was decrease in the value of Defects per unit to 0.0541, where previously it was worth 0.0628, and the value of Defects per million Opportunities decreased from 32.636 to 27.020, and converted into sigma level and obtained sigma value 3.80, before the implementation was at 3.74 sigma. The three indicators of DPU, DPMO, and Sigma level indicate that the proposed quality improvement is successful.
Performance measurement analysis using the performance Prism and objective matrix: a case study of KPUD Tani Wilis Harsys, Benaya; Iriani, Iriani
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 3 (2024): OE November 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i3.123

Abstract

Performance is one the critical aspect in every company or business that needs to be considered. However, a common issue encountered is that companies often fail to accurately assess their business performance. Inaccurate performance measurements result in a lack of continuous improvement in productivity and instead negatively impact the overall performance quality, thereby influencing revenue growth. This research focuses on key performance indicators (KPIs) that deviate from the standards set by KPUD 'Tani Wilis'. Consequently, alternative performance measurement approaches, such as identifying indicators using the performance Prism and evaluating performance through the objective matrix, are necessary. The results indicate that 68% of the indicators across various dimensions are in good condition, while 32% are below standard, with the required threshold set at 75% for good performance. The primary challenges identified include maintaining service quality for customers and ensuring supply delivery accuracy. The proposed solutions involve implementing robust control and monitoring systems focused on customer service quality, with dedicated supervisors or quality control experts overseeing the process.

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