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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. 2 (2024): OE July 2024" : 10 Documents clear
Analysis of packaging quality control of PT. LMN using the seven tools method and new seven tools Permana, Handy Natan; Saifuddin, Joumil Aidil
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.i2.109

Abstract

Product quality is a crucial factor that influences success in the market and in the company's production process. Quality products meet company standards and consumer expectations.  The aim of this study is to identify the causes of product rejections and to analyze process improvements in terms of man, material, machine, method, measurement, and environment to reduce product rejections. The results of data collection show the dominant types of rejects, with the following proposed improvements: Maintain the operators' jobdesk so that they become experts in one area, by motivating them through rewards to improve work quality. Ensure spare stock, efficient forklift lanes and H-1 glue communication. Make continuous improvements in every part of the packaging department and build an information system for glue type requirements. Place SOPs in a visible and obvious location, add machine filters near operators, and improve machines to prevent overweight/underweight rejects. Check and calibrate machines regularly, implement scheduled machine maintenance checklists, and standardise maintenance and delegate tasks to optimise staff schedules. Regularly update the parts list according to the machine specifications, make a tool to pour glue from the drum with minimal noise, and perform regular machine maintenance and use bearings to reduce vibration.
Developing a transformation readiness index for Industry 4.0: a case study of food logistics in the rice commodity sector Ichsani, Firna Nur; Hasbullah, Hasbullah
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.i2.116

Abstract

In 2021, it was recorded that Indonesia had a population of 272,682.50 million people, which then underwent an increase of 1.12% from the previous year to 275,773.80 million people in 2022. The rapid growth of the population will affect the food supply in Indonesia. It is known that many provinces in Indonesia still have a percentage deficit in food distribution, especially in the rice commodity, which needs to be improved to meet projected annual needs. This research tries to develop a transformation index by combining the Industry 4.0 concept model with the logistics operating in the food sector. To improve food security in Indonesia by transforming towards Industry 4.0. Research with a qualitative descriptive approach produces several factors that can influence the transformation index of food logistics companies in Indonesia towards Industry 4.0. The results of the use of technology, especially in encouraging transparent and real-time data transfer (horizontal and vertical) and decision-making in the logistics sector, are critical to pay attention to. However, organizational management, culture, and human resources are also essential things to pay attention to in transformation.
Forecasting in humanitarian operations: a method for anticipating fast-moving aid supplies Annisa, Putri Dwi; Kurniawan, Wahyu
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.i2.111

Abstract

Given Indonesia's vulnerability to a diverse range of natural and man-made catastrophes, it is crucial to have a well-executed disaster management system in place. The National Disaster Management Agency (BNPB), as the agency responsible for disaster relief in Indonesia, emphasizes the importance of this matter. This study examines the enhancement of disaster logistics, specifically focusing on the difficulties related to the fast movement of humanitarian aid supplies. The main challenge in disaster logistics is the uncertainty of demand following the occurrence of the disaster, together with the possibility of supply disruptions caused by insufficient inventory in warehouses. This research places significant emphasis on expedited delivery of humanitarian aid supplies, which are crucial for prompt relief operations, especially in situations with limited preparation time. The main aim of the study is to create a safety stock level policy for BNPB's national warehouse, which will be determined by analyzing forecasts of demand and lead times. The research findings for the year 2022 indicate a low percentage of errors in demand predictions. This result emphasizes the efficacy of the safety stock strategy in actively dealing with sudden increases in demand and reducing uncertainty associated with supply schedules.
The influence of service quality on customer satisfaction in maintaining loyalty at Coco SPBU in Medan City Purba, Ines Adewinda; Surjasa, Dadang; Safitri, Dian Mardi
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.i2.115

Abstract

Nowadays, more and more people use private vehicles, resulting in an increase in the number of vehicles and also fuel consumption. Customer satisfaction is one of the factors that influences customer loyalty. Customer loyalty is an indicator of success in making customers interested in using services or products again. The aim of this research is to determine the factors that influence service quality on customer satisfaction and loyalty at COCO gas stations in Medan City, North Sumatra. This research is quantitative research. The data analysis method used is Structural Equation Modeling-Partial Least Square (SEM-PLS) Smart PLS software version 4. The population in this study are customers at COCO gas stations in Medan City, North Sumatra. This research uses a questionnaire data collection technique with a sample of 100 respondents, which contains 18 indicator questions that can represent an assessment of gas station services. From this research, the results show that there is a significant influence on physical evidence and power on customer satisfaction, as well as customer satisfaction on customer loyalty.
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 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. 
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.
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.
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.

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