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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. 1, (2024): OE March 2024" : 10 Documents clear
Analysis of coffee bean supplier selection using AHP-TOPSIS methods: case study on a ready-to-use coffee powder company Sanjaya, Yahya Cakra; Pulansari, Farida; Rahmawati, Nur
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.i1.100

Abstract

The global market competition that companies must face along with increasingly competitive market developments means that each company has its own challenges in preparing competitive strategies. PT. XYZ is a company that operates in the field of coffee bean processing. The related problems that occur are frequent delays in sending raw materials by suppliers which results in delivery delays, which means they are related to supplier selection problems. Therefore, in this research, the AHP TOPSIS method was used to conduct supplier analysis, AHP is utilized to make decisions and consider multiple factors, subsequently ranking them. Meanwhile, TOPSIS is employed to address multi-criteria problems by comparing the best alternative with the worst alternative among many options. The results of this research are that Supplier 4 is in first place with a preference value of 0.6510, while the second and third places are occupied by Supplier 1 and Supplier 3 respectively.
Combination of value stream mapping (VSM) method and kanban system to reduce time waste in the production process of making parts for the four-wheel vehicle industry Pasha, Vebina Sheila; Chin, Jacky
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.i1.104

Abstract

Fulfilling orders from customers in the automotive industry is a necessity that inevitably causes problems that arise in product delivery to customers due to production delays and decreased production yields. The production process often experiences wasted time in the production process of four-wheeled vehicle spare parts. This research aims to reduce production process time, provide solutions to reduce waste and increase the number of four-wheeled vehicle spare parts produced. This research method uses the Lean Manufacturing (LM) approach by combining the Value Stream Mapping (VSM) method with Kanban system improvements, the application of Root Cause Analysis (RCA), and the Kaizen method. This research found that four factors cause waste in process time, including environmental factors, methods, humans, and machines. This research produces the right solution in the relay out of the Assembly and Final Inspection production processes, as well as the use of the e-kanban system in material and product inventory. The research results have reduced the production process time from 17.10 days to 10.05 days, meaning a decrease of 41.22%. This affected production results which increased from an average monthly production of 42,917 pcs to 60,157 pcs, meaning an increase of 128.65%.
Redesign of elderly beds as an effort to overcome degenerative diseases using a participatory approach Dahlan, Muhammad; Ahmad, Arfandi; Pawenari, Andi; Fole, Asrul
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.i1.101

Abstract

The utilization of beds among the elderly, especially those with degenerative diseases, presents health and comfort challenges. To address these issues, this research aims to redesign elderly beds using a participatory ergonomics method at Madania Potonoro Nursing Home. By involving the elderly and caregivers in the process, the research findings highlight the need for bed improvements. The proposed design includes additional features such as a folding table, bookshelf, cane holder, assistive standing devices, and a drink holder, based on identified needs. Anthropometric dimensions, including Shoulder Width (SW), Height (H), Popliteal Height (PH), Elbow Height in Sitting (EHS), Elbow Height in Standing (EHS), Seat Depth (SD), and Maximum Grip Diameter (MGD), serve as guidelines for bed design. Analyzing these dimensions at the 5th, 50th, and 95th percentiles, adjustments are made to accommodate additional attributes or features on the bed. The recommended design not only provides optimal comfort and safety for the elderly but also improves their overall quality of life. This research emphasizes the importance of involving users in the design process to ensure solutions align with their needs and preferences.
Project management improvement with proposed project management office: case in palm oil industries and machineries Hutapea, Benyamin Tangihon; Nasution, Harmein; Hidayati, Juliza
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.i1.097

Abstract

Multi-project management are a huge challenge in organizations project management. In order to improve the success of multi-project practice, organizations are begun to considering to implement Project Management Office (PMO) inside their organization structure as a single structure that focused on managing project portfolio inside organization. PMO is a type of business-oriented organizational structure that supports the enterprises business strategy, development and describes the rationale of how a project-portfolio management organization shold be. The major challenge in this qualitative research is to identify which variables that proposed PMO department have to take concern of and formulize a relevant PMO model, scope and project management process to its organization. Literature reviews enrich that the ideal PMO should have able to integrate organizations project portfolio, standardize project management methods, providing tools, managing continuous improvement and designing effective communication system. As results, proposed PMO department will be adopting controlling model, have strategic, tactic and operation scope with their own maturity level based on PMO maturity cube and a new proposed project management process, involving entire stakeholders within project environment.
Measurement of effectiveness spinning fiber machines using total productive maintenance method at textile manufacturing Supriyadi, Edi; Nurdewanti, Rully
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.i1.105

Abstract

PT XYZ is a textile industry manufacturing company whose main products are Polymer Chips, Pre-Oriented Yarn (POY), Draw Twister Yarn (DTY), Bi Shrankage Yarn (BSY), and Polyester Staple Fiber (PSF) which are marketed domestically and internationally. There are still high breakdown problems, which can hamper the production process and result in a decrease in production capacity. The purpose of this study was to measure the Performance Effectiveness of Fiber Spinning Machines using the Total Productive Maintenance (TPM) Method and to find the causes of the Six Big Losses that affect the Performance Effectiveness of Fiber Spinning Machines. The application of TPM in the manufacturing industry aims to extend machine life and maximize the effectiveness of machine performance. The results of measuring the Performance Effectiveness of Fiber Spinning Machines using the TPM Method obtained an  Overall Equipment Effectiveness (OEE) value of 87.85% and the cause of Six Big Losses that affect the effectiveness of the performance of Fiber Spinning Machines is Equipment Failure Losses, the most dominant factor is the Human Factor, namely lack of control, lack of understanding of Standard Operational Procedure (SOP), lack of thoroughness when cleaning spinnerets.
The application of machine learning algorithms for assessing the maturity level of palm fruits as the prominent commodity in the Western-Southern Area of Aceh Syahputra, Rizki Agam; Widarta, Fajar Okta
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.i1.102

Abstract

The potential of palm oil plantations in Aceh is substantial, with the province ranking eighth in Indonesia for palm oil cultivation. Aceh boasts a vast oil palm plantation area of 470.8 thousand hectares, comprising 44% of Aceh's total plantation land. Palm fruit quality directly impacts palm oil production, emphasizing the need for consistent maturity levels. To address this, computer algorithms, especially machine learning, have been applied. This study introduces the Self-Organizing Map (SOM) Algorithm for palm fruit maturity determination. SOM's reliability in capturing dataset topology offers a diverse classification process, revolutionizing palm fruit maturity detection and optimizing palm oil production. This study uses 40 dataset consisted of 20 mature and 20 unmature palm fruit image as the basis data which then converted into RGB and HSV value with Matlab engine. The result of the study indicates that the SOM algorithm is capable of classifying the maturity detection with 100% precision result. The SOM algorithm is synthesized in a Graphical User Interface that is capable of reading and classifying the input data into the output cluster.
Risk analysis in bao bun production processes using FMEA and FTA methods: a case study Gusti, Nastiti Caket; Tosungku, La Ode Ahmad Safar; Gunawan, Suwardi
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.i1.106

Abstract

Risks are present in every activity and could cause damage if not properly addressed. This research discusses how to identify risks that occur in the production process of the food industry. The characteristics of the goods, such as flavor, price, appearance, and availability, are met through the production process by transforming raw materials into products. The XX Bakery business experiences several risks at the production stage that reduce the quality of the product which potentially causes financial losses. Failure Mode and Effect Analysis (FMEA) is used to identify and assess the risks and their level of importance. There were 20 risks that occurred in the production process obtained through observation and interviews. The risks were then assessed based on severity, occurrence, and detection through a questionnaire to determine the Risk Priority Number (RPN) value. The Pareto chart shows which risks would result in a significant impact if given treatment. There were top 5 risks in which RPN values resulted in 80% of the total score. The risks are broken mixer with a score of 360, fluctuation of raw material prices with a score of 320, power outages with a score of 240, workers experiencing fatigue with a score of 144, and water supply stopped with a score of 60. The risks were then further analyzed using Fault Tree Analysis (FTA) to find their root causes. The results of the risk management processes serve as a base for consideration in forming proposals for corrective actions that improve risks—the implementation of the proposed improvements is expected to reduce losses that potentially be experienced by the business.
Optimization of soybean distribution costs with the transportation method: a case in SME’s Chairat, Arief Suardi Nur; Caswito, Ade; Octavia, Lia Nur; Asnul, Nur Shania; Fauziah, Annisa; Bahasoan, Alisya Sulifianti
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.i1.098

Abstract

The distribution of soybean raw materials is not only related to aspects of quality and smooth production of tofu making but can also influence cost efficiency to increase competitiveness. In this situation, the number of soybeans shipped, transportation costs per unit, and the choice of transportation service used are transportation model issues. This research aims to determine the cheapest cost of sending soybean raw materials from four agent locations to three tofu factory locations with a choice of two transportation services that can be adopted. The case studied is a case of unbalanced transportation with supply greater than demand. The method used is the application of a transportation model, with the Northwest Corner method to determine the initial base solution and the Modified Distribution method to optimize distribution costs for soybean raw materials in the context of tofu production supply. Based on data processing, the results showed that the first and second transportation services offered services with a total shipping cost of IDR 691,750 and IDR 605,250. Observation of these differences leads to the conclusion that the second transportation service offers the most optimal value for money. The research results provide additional knowledge for tofu makers in optimizing costs and delivery routes for soybean raw materials, supporting production continuity, and increasing competitiveness in an ever-changing market.
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.
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.

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