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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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Criteria for selecting third-party logistics service providers: Systematic Literature Review Setyawan, Iwan; Rizkyah, Alika Eka
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.i2.112

Abstract

Third-party logistics (3PL) is a strategic business partner for companies in carrying out company business activities that are outsourced or cannot be handled themselves. Mistakes in choosing a 3PL can have negative impacts on the company such as financial losses, reducing service quality, reducing customer trust, reducing the company's image, and so on. This article aims to classify third-party logistics based on current issue trends, the methods used in selecting criteria, and what criteria they produce. Using Systematic Literature Review, researchers reviewed, classified, and analyzed 56 relevant articles published in the 2020-2023 period from the Scopus database. The results of this review reveal that 3PL providers can be classified based on issue trends and company goals in selecting them, namely Traditional 3PL, Sustainable 3PL, Sustainable-resilient 3PL, Green 3PL, Gresilient 3PL, Traditional Third-Party Reverse Logistics, and Sustainable Third-Party Reverse Logistics. The priority criteria in selecting a 3PL provider are closely related to the 3PL classification, the industrial sector and business activity being outsourced, the country where the company operates, and the dimensions or attributes used in developing the criteria.
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.
Assessment of musculoskeletal disorders among palm oil farmers with SNI 9011:2021 in Muara Wahau Pawitra, Theresia Amelia; Fathimahhayati, Lina Dianati; Sitania, Farida Djumiati; Mas’ud, Mufid; Marhani, Marhani
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.i3.090

Abstract

Indonesia is the world's largest producer of palm oil, with millions of hectares of plantations. However, along with the growth of the palm oil industry, various challenges and issues related to the worker welfare have emerged. One important issue is musculoskeletal disorders or health problems associated with work in palm oil plantations. Workers in palm oil plantations are often exposed to heavy and repetitive work conditions, such as carrying heavy loads, performing monotonous movements, and working in non-ergonomic positions. These factors can increase the risk of musculoskeletal disorders, such as back pain, shoulder pain, neck pain, and other health issues. Therefore, this research aims to evaluate existing musculoskeletal disorders and provide recommendations for improvement and management of ergonomic risks in PT. DSN in Muara Wahau. The research methods include direct observation of palm oil farmers during their work, structured interviews to gather information on complaints and ergonomic risks, and the use of ergonomic analysis methods in accordance with the SNI 9011:2021 standard. The data obtained will be analyzed to identify ergonomic risk factors contributing to musculoskeletal disorders. The results of this study showed that  all of palm oil harvesting workers experienced high risk level on their neck, while all of palm oil transportation workers encountered high risk on their elbow. Stretching or warm-up exercises before and after work were recommended to reduce the risk of injuries caused by non-ergonomic work positions among harvesting workers. Furthermore, redesigning Hook-T was recommended in order to minimize the MSD among palm oil transportation workers.  
The influence of music tempo and traffic density on driver performance using galvanic skin response method Rahmadina, Gayatri Aleyda; Tranggono, Tranggono; Rafi, Rafi
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.i2.117

Abstract

The number of traffic accidents in the city of Surabaya during the period 2020 to 2022 tends to increase. Human factors contribute the largest percentage that causes traffic accidents. Some of the causes are impaired driver alertness and stress when driving due to congested road conditions. Listening to music is a distraction while driving because the tempo of the music can affect the driver's cognitive abilities. This research aims to determine the effect of music tempo and traffic density on driver performance. The stress level of the driver's performance will be measured through psychological changes in the skin as a result of changes in sweat gland activity using the galvanic skin response method. The data collection process was carried out experimentally using a driving simulator and a galvanic skin response tool. Data processing was carried out using normality tests, homogeneity tests, and two-way ANOVA tests. The results show that music tempo and traffic density do not have a significant effect on driver stress levels and driver performance. The results obtained in this test were carried out on 10 respondents and the experiment time was quite short, so the results obtained can still change and the experiment must be repeated using the same method to ensure that the results obtained are valid and reliable. 
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.
The implementation of FMEA for analyzing the risk of natural disaster logistic activities (case study: CSER project childfund international) Bombang, Serli
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.i3.096

Abstract

Indonesia is a country prone to natural disasters due to its location at the convergence of active tectonic plates. During natural disasters, logistics becomes crucial in emergency response. The aim of this study is to analyze the risks involved in logistics activities during natural disaster emergency response, focusing on the case of Central Sulawesi in 2018. The method used in this research is Failure Mode and Effect Analysis (FMEA). This research is descriptive-exploratory in nature based on interviews and questionnaire distribution. The results indicate eighteen risks occurring during emergency response logistics activities conducted by Childfund International. Calculation results show six critical risks in emergency response logistics activities, namely errors in planning required demand, expired goods, expiration dates too close, closure or absence of goods reception, prolonged accountability report preparation process, and incomplete accountability reports
Analysis productivity of the mine facility department using the objective matrix method (OMAX): case study in coal mining company Tahir, Ade Putra; Gunawan, Suwardi; Pawitra, Theresia Amelia
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.i3.092

Abstract

PT Kideco Jaya Agung is one of the coal mining companies in Paser Regency, East Kalimantan, using an open pit mining system which at the end of 2012 succeeded in realizing the production, transportation, shipping target of 34 million tons. Coal mining is carried out using excavating equipment and hauling equipment. Activities begin with land clearing using bulldozers and / or small excavators, blasting overburden and / or removal of overburden, cleaning coal, loading and transporting coal to the ROM Stockpile. Throughout 2021 there has been a decrease in production results, it is necessary to analyze the productivity of the company's performance, which in this case leads to the Mine Facility department because it is directly related to production. The need to analyze productivity measurements so that it can be seen whether the Mine Facility department in this company is productive or not. The productivity measurement method that can be used to solve the problem is Objective Matrix (OMAX), because the OMAX productivity measurement model overcomes the problems of complexity and difficulty of productivity measurement by combining all important productivity criteria into an integrated form and interrelated with each other and easy to combine.
Analysis of project work using earned value management and precedence diagram method in manufacturing system projects Nugroho, Dizsa Arliansyah; Sukmono, Tedjo; Jakaria, Ribangun Bamban
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.i2.114

Abstract

PT. Weiss Tech has received a project order for the fabrication and installation of coffee packaging production machines from PT.XYZ, scheduled to start on June 19, 2023, with a deadline of June 24, 2024, spanning 54 weeks. The project has been ongoing for 16 weeks with an update indicating that only 20% of the planned progress has been achieved, which suggests that it may not be completed on time. To evaluate the project's performance, the EVM  method will be used to identify critical tasks and reduce the project duration using the Precedence Diagram Method with the help of MS Project software. The evaluation shows negative values for CV and SV variances, as well as performance index SPI<1 and CPI<1, indicating poor project performance. The critical tasks identified include electrical & instrument installation, machine & utility installation, trial work, assembly, quality control, polishing, milling, turning, cutting, and design. Design work has been identified as the most influential on the critical path. By rescheduling the project plan, positive values for CV and SV have been achieved. With the SPI value of 1.13 and CPI value of 1, it can be concluded that future project performance will be completed faster and within budget.
Enhancing supplier management strategies: integrating purchasing and supplier potential matrices in furniture manufacturing Susanto, Indhira Prameswari; Pulansari, Farida; Rahmawati, Nur
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.i2.107

Abstract

Supplier segmentation is one of the most important supply chain activities for most companies that collaborate with many suppliers such as in furniture manufacturing. Purchasing Portfolio Matrix (PPM) is a segmentation method that considers two dimensions (supply risk and profit impact) which are the basis for classifying materials to be purchased by the company. Supplier Potential Matrix (SPM) is a new supplier segmentation approach that includes two dimensions (capabilities and willingness). These two approaches are important because they have different focuses, namely PPM on suppliers while SPM on relationships. Therefore, the main objective of this research is to classify suppliers using a combination of PPM and SPM and determine the appropriate relationship management strategy. Data collection was carried out in the case of one manufacturing company that works with 74 raw material suppliers. Best Worst Method (BWM) is used to determine the criteria weights in both segmentation approaches. So from the 74 suppliers, the results were 7 suppliers in PPM1, 43 suppliers in PPM2, 5 suppliers in PPM3, and 19 suppliers in PPM4 and different strategies were obtained so that this combined PPM-SPM approach was able to improve supplier management.
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.

Page 28 of 32 | Total Record : 317

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