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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.
Arjuna Subject : -
Articles 317 Documents
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Redesign of workstations guitar product to minimize musculoskeletal disorders for workers Pratiwi, Indah; Jannah, Isnainiyah Wardatul
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 2 (2024): OE July 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i2.108

Abstract

The production process of acoustic guitars in Indonesia involves 4 workstations and 17 distinct activities. Due to the nature of the work—8-hour shifts in seated positions with frequent bending, squatting, and repetitive movements—workers are at risk of musculoskeletal disorders (MSDs), particularly in the neck, shoulders, back, arms, and wrists. This study aimed to identify and analyze body posture conditions using the Nordic Body Map (NBM) and Muscle Fatigue Analysis (MFA) methods. The NBM method was used to record pain complaints across various body parts, while the MFA assessed muscle fatigue by considering the level of effort, work duration, and movement frequency. Results from the NBM showed that among the workers, 2 were at high risk, 3 at medium risk, and 7 at low risk for MSDs. The MFA further identified 3 workers with very high to high-priority fatigue concerns, specifically affecting the neck, back, shoulders, right arm, wrist, and legs. To address these issues, the study recommended redesigning work facilities and layouts using the SolidWorks application, along with implementing regular muscle stretching and exercise routines to minimize the risk of MSDs and improve worker well-being.
Multi criteria decision making to determine the location of Via Laundry's branch Theodora, Tania; Septiani, Winnie; Dewayana, Triwulandari S
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 1, (2024): OE March 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i1.099

Abstract

Decision of choosing the right business location will determine the future development of the business itself. Location decision making is not only important in terms of costs and profits but is also one part of a company's strategic planning which is significant in increasing competitive advantage. Via Laundry’s owners has decided to open a new store branch to expand their business as it has been well-operated for 3 years. Business owners have determined several alternatives for this new branch’s location, namely Transpark Djuanda Bekasi, Jakarta Garden City, and Harapan Indah. The purpose of this study will help business owners to better decide preferred location for the new branch by using multi-criteria decision making, which is AHP and TOPSIS combined methods. Determination of criteria and alternatives is carried out based on the results of discussions with experts, namely business owners and their business partners. Experts also assess the importance of each criterion to produce a pairwise comparison matrix. Based on the results of calculations using the AHP method, priority vector values are obtained for the 6 criteria from the highest to the lowest weight, namely population density (0.370), water cleanliness (0.249), rental costs (0.131), land area (0.103), ease of access roads (0.093), and competitiveness level (0.054). Calculation using AHP method generate weight of each criterias which is then used in TOPSIS. By comparing the distance with ideal solution, preference value for each alternative can be obtained, namely 0.3053 for Jakarta Garden City, 0.3624 for Harapan Indah, and 0.8009 for Transpark Djuanda Bekasi. The chosen location recommendation for Via Laundry’s new branch is Transpark Djuanda Bekasi with the highest preference value of 0.8009.
Determining priority criteria for industry 4.0 maturity models in small and medium enterprises in Indonesia Nabilah, Nabilah; Hisjam, Muh; Sutopo, Wahyudi
Operations Excellence: Journal of Applied Industrial Engineering Vol. 15, No. 3, (2023): OE November 2023
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2023.v15.i3.089

Abstract

For manufacturing companies, especially Small and Medium Enterprises (SMEs), currently measuring the level of the Maturity Model (MM) is not an easy thing to do, because there are still many obstacles, including not knowing what factors are priorities in developing the MM. This research aims to identify the criteria that influence the measurement of maturity model based on survey results in small and medium enterprises. Using the Fuzzy DEMATEL method to find the priority and causality of each criterion attribute. The research results show that the Advanced IT criteria is the first priority to be considered to have the most influence on measuring the industry 4.0 maturity model.
Productivity analysis in oil palm plantations using the objective matrix method: case study PT. Dharma Satya Nusantara Tbk. Mas'ud, Mufid; Pawitra, Theresia Amelia; Fathimahhayati, Lina Dianati
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 2 (2024): OE July 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2023.v16.i2.118

Abstract

PT. DSN Group Tbk, a company operating in palm oil plantations, wood products, and renewable energy, manages a 112,450-hectare palm oil plantation, including 84,566 hectares of core plantation and 27,884 hectares of plasma plantation. This research aims to identify and measure productivity criteria in the palm oil plantation and suggest improvements. The Objective Matrix (OMAX) method was used to evaluate productivity, revealing that the highest productivity index in 2021 was 136.67% in March, while the lowest was -36.67% in September. In 2022, the highest index was 101.67% in August, with the lowest at -35% in May. The Fishbone Diagram identified causes for productivity declines: in 2021, human-related issues were the primary factor, while in 2022, failure to meet production targets was the main concern. Proposed improvements include redesigning harvesting tools to reduce worker fatigue, remapping the plantation, conducting regular checks for fruit quality, maintaining farm equipment, and training workers to prevent over-fertilization.
Integration of balanced scorecard and analytical hierarchy process to measure the performance of supporting unit in aircraft maintenance service companies Utami, Nur Aulia; Dewayana, Triwulandari; Septiani, Winnie
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 1, (2024): OE March 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i1.0103

Abstract

Dynamic and challenging business environment in the aircraft maintenance services industry require company to survive and ensure business continuity. To realize effective performance, performance measurement is needed as a management system for managing and controlling performance. The purpose of this research is to measure the performance of supporting unit at PT. XYZ by using balanced scorecard framework that is integrated with AHP. The steps in this research includes identification strategy objective, identification key performance indicator (KPI), design and measure performance using integrated balanced scorecard  and AHP. The method used in this study combines quantitative data with the Analytical Hierarchy Process (AHP) approach. The AHP method is used for KPI weighting. The design of KPI weights for each perspective in balanced scorecard are 42,3 % for the learning and growth, 33,5% for internal business process, 17,3% for financial, and 6,8% for the customer perspective.  The results of supporting unit performance show the lowest score in the learning and growth perspective with average performance indicator, while in internal business process, financial and customer perspective have good performance indicator. The result of measuring total performance of four perspective are 74,5% which indicates that the performance of PT.XYZ’s BSC is in the good enough category.
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.

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