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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. 15, No. 3, (2023): OE November 2023" : 10 Documents clear
Process improvement analysis in toll corridor development with lean six sigma approach: case in PT Jasamarga Related Business Batubara, David Perkasa; Rouli, Juliana
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.i3.093

Abstract

Toll Corridor Development (TCD) is one of the businesses conducted by PT Jasamarga Related Business as a follow-up to the issuance of Peraturan Menteri Pekerjaan Umum dan Perumahan Rakyat (PUPR) No. 28 of 2021. In the development of its first TCD project, Jasamarga Related Business (JMRB) encountered issues that resulted in the delay of the project's completion. The purpose of this research is to analyze and make improvements to the causes of delays in the Taman Mini TCD project. In this research, the lean six sigma approach is used to analyze process improvements that can be carried out so that these problems can be minimized in the further development of TCD. To identify activities that cause delays in the implementation of this project, the critical path method (CPM) was used based on the results of interviews with those directly involved in the development of TCD project. From the activities that cause the delay, a causal analysis is carried out using a fishbone diagram, and then an analysis of possible improvements is carried out using a lean concept approach. Based on the analysis results, three main issues are identified, namely inadequate planning process, ineffective partner or consultant selection process and delays in construction completion. From the cause-and-effect analysis, it can be concluded that potential improvements can be made by implementing the concept of pull planning, improving the business process by reducing waste and enhancing value-added activities, establishing effective stakeholder management, and maximizing the use of technology-based applications to aid project control.
Analysis of cashiers’ work postures using the Quick Exposure Check (QEC): a case study in Yogyakarta Prahasti, Saptiana Nur; Vicananda, Ladayan Pradana; Ma’ruf, Khakam; Setiawan, Rizal Justian; Azizah, Nur
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.i3.091

Abstract

The analysis of cashiers' work postures aims to minimize or avoid musculoskeletal problems. The research uses Quick Exposure Check (QEC) to identify working condition problems that focus on the back, shoulders, arms, and neck. The goal is to improve working conditions by reducing the risk of worker fatigue, unergonomic work postures, and musculoskeletal pain, which leads to increased productivity. To determine the extent of musculoskeletal disorders, the research method uses a quick exposure check that focuses on the upper body, including the back, neck, arms/shoulders, and wrists, which are common problem areas for workers. Based on the collected data, the exposure score and level are calculated to determine the follow-up to the research. The data shows that 50% of cashiers have an exposure level of 50 - 60%, and further research and changes are required. Meanwhile, another 50% of cashiers have an exposure level value above 70%, requiring immediate research and changes. The conclusion of this analysis is that it is essential to continuously check and maintain the ergonomics of the cashier's work. Regular inspections and necessary corrective actions must be conducted to ensure ergonomic working conditions and protect the health of cashiers.
Quality circle implementation to reduce defects in cast steel products in the heavy equipment industry Iskandar, Sony; Azmi, Nora; Maulidya, Rahmi
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.i3.094

Abstract

Steel products produced from the metal casting process or commonly called cast steel are still very much needed in the industrial world, as components for production machines, power plants, automotives, heavy equipment and other needs. PT KX is a company that produces cast steel products, the products produced are targeted to be able to meet customer needs both for domestic needs and for export needs abroad. One of the problems currently faced by this company is the high defect ratio in several products currently produced. The defects that occur are porosity, gas holes, sand inclusions, cracks, and misruns. This company's good culture in implementing continuous improvement is well developed in all lines and all members of the organization so that this company continuously makes efforts to reduce defects that occur in products. The aim of this research is to analyze the causes of problems and make improvements to reduce the defect ratio. The method used by Quality Circle (QC) is as a method for making continuous improvements in reducing defects. One of the ways in which the verification process is carried out is by utilizing Electron Probe Micro Analyzer (EPMA) machine technology. This aims to make the analysis results more in-depth so that ultimately the defects that occur in a product can be reduced significantly.
Application of gaussian filter and extraction features for quality control of fruit raw materials in the puree industry Sulistyo, Soma; Thaheer, Hermawan; Qur’ania, Arie
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.i3.087

Abstract

The purpose of research in using Android-based raw material quality control applications in fruit puree factories is to enhance the industry's precision, uniformity, and efficiency. This application is developed to implement digital image processing utilizing two distinct methods: Gaussian filters and feature extraction. The implemented application captures guava data using the camera of an Android phone and subsequently resizes the image to dimensions of 600x600 pixels. Subsequently, the image colors are recovered by employing a Gaussian filter that operates on normalized Red-Green-Blue values. A minimum of 120 photos of red guava fruit from the raw material of one of the puree companies were subjected to image processing procedures. The application solely focuses on the color and texture of the fruit's skin, ensuring that the sample remains undamaged while adhering to hygienic guidelines. The ripeness degree of guava fruit is determined by employing an image classification algorithm with the K-nearest neighbor method. The application validation using K-fold cross-validation achieved an accuracy of 90.0% and a precision of 90.27% when applied to color imagery. When feature extraction was used, the accuracy was 83.3%, with a precision of 83.4%. Color extraction provides a more precise method for identifying ripe guava. The utilization of guava fruit ripeness detection in the quality control of raw materials for the puree sector has been simplified and made more user-friendly through the development of an Android-based application. Officers are not obligated to possess specialized expertise regarding the quality of raw materials. 
Spare parts warehouse re-layout design with kaizen 5S implementation to reduce wasted time searching for machine parts Nuryono, Arif; Kurnia, Hibarkah; Zulkarnaen, Iskandar
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.i3.095

Abstract

Increasing the productivity and efficiency of production machines cannot be separated from the availability of machine spare parts in the warehouse department. Delays in the delivery of spare parts if machine problems occur often become a problem that disrupts efficiency. This delay was caused by the search for engine spare parts in the warehouse taking too long to find. The long search time was caused by the irregular placement of the materials and the messy condition of the warehouse. This research aims to make improvements to the goods search process to make it faster and more effective in the warehouse area and increase warehouse capacity using warehouse re-layout. This research method uses the implementation of warehouse re-layouts combined with the application of Kaizen 5S in controlling the condition of machine spare parts. This research found that the reason for the long search time for machine spare parts was due to the lack of knowledge of warehouse operators and the absence of training regarding the application of the 5S method, as well as the careless placement of spare parts in warehouses that were not neatly arranged.  This research has resulted in a reduction in search time for engine spare parts from 6.4 minutes to 4 minutes per spare part unit or a decrease of 36.5%. Meanwhile, the results of the warehouse re-layout resulted in an increase in warehouse capacity from 80 pallets to 316 pallets, an increase of 395%. 
Optimizing tourism industry performance strategy selection: an analytical hierarchy process perspective Achmad, Fandi; Rizaldi, Artamevia Salsabila; Sriwana, Iphov Kumala; Rumanti, Augustina Asih
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.i3.088

Abstract

The tourism industry has an important role in a region's economic growth and development. However, the success of the tourism industry is highly dependent on the strategic policies adopted to increase optimal performance. One way to increase the optimal performance of the tourism industry is to maximize support system facilities. Therefore, this study aims to optimize the performance of the tourism industry by selecting the right strategy based on the support system facilities variable. Support system facilities include telecommunication, power sources, transportation, waste management, location, clean water sources, supporting industries, spatial, hospitality, safety, and security. The Analytical Hierarchy Process (AHP) method selects strategies based on support system facilities. Data is collected through a survey of tourism industry experts and related stakeholders. The results of this study indicate that indicators with high-ranking weights are telecommunication, spatial, and waste management, respectively. Each indicator is calculated for each sub-indicator to find out more in detail about producing the relative priority of the strategy. The analysis shows the importance of each factor in influencing the tourism industry's performance to assist decision-makers in planning and implementing effective strategies. Alternative strategies are prepared based on calculating the weighting of the criteria and sub-criteria. By considering support system facilities as an important factor, strategic decisions can be taken based on clear and measurable preferences.  
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 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.
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.

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