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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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Penerapan p-Median terhadap optimasi alokasi dan lokasi distribution center pada Sistem Logistik Pedesaan di Indonesia Ely Asmara; Bonivasius Prasetya Ichtiarto
Operations Excellence: Journal of Applied Industrial Engineering Vol 13, No 2, (2021): OE July 2021
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2021.v13.i2.020

Abstract

Every village has Village Superior Products (Prudes) which have economic value that can advance the economy of rural communities. However, the consolidation of the Prudes results is still not optimal, it can be seen from the poverty rate in rural areas which is still high when compared to the level of poverty in the city. To overcome this, it requires the efficiency and effectiveness of distribution centers in rural supply chain systems in order to consolidate the Prudes products from a number of villages to a number of customers/consumers. However, the main problem is how many distribution centers are needed and where are the distribution centers located in an area that has the same type of Prudes. Therefore, the aim of this research is to find the best location P from a number of candidates distribution centers (N = 59 villages) where P ≤ N. To achieve the objectives of this study, the P-Median method is used with the help of AMPL software as a data processing tool. in order to complete the model of the P-Median. The objective function of the P-Median model is to find the minimum value of the total cost based on distance (), production volume (), shipping costs (), and fixed cost () at a number of DC facilities. In the process before the completion of the P-Median model, the approach is first carried out proximity analysis which consists of the pre-qualification and qualification processes in determining candidate facility candidates distribution center. This approach was taken to cover the limitations of APML software in processing data. The result of this research is that the optimal number of DC facilities in five DC facilities with a total cost minimum of IDR 91.80 billion. Meanwhile, the facilities are distribution center located in the village of Sanuanggamo, North Tongauna District (P11), Awuliti Village, Lambuya District (P17), Mumundowu Village, Pondidaha District (P36), Duriasi Village, Wonggeduku District (P44), and Puday Village, West Wonggeduku District (P53). 
Balanced Scorecard: Literature Review and Implementation in Organization Deni Ahmad Taufik; Humiras Hardi Purba; Hasbullah Hasbullah
Operations Excellence: Journal of Applied Industrial Engineering Vol 13, No 1, (2021): OE March 2021
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2021.v13.i1.012

Abstract

The balanced scorecard is a formal management technique for developing, implementing, and managing business strategies. It isn't easy to ascertain the technique's success. Most of the literature on its implementation is put out by those with a vested interest in its success as a commercial product. Much has been written about barriers to strategy implementation but not specifically to implementing a balanced scorecard. The literature review in this paper shows that studies on BSC implementation in corporate organizations focus on improving organizational performance, assisting in decision making, assisting in component selection, evaluating production and learning and sustainable growth. This paper provides benefits for further research to add to the literature and understanding of the implementation of the Balanced Scorecard in any organization.
Integrasi sustainability dan MCDM untuk kelayakan teknologi sterilisasi pada pendirian pabrik CPO terintegrasi palm kernel oil Sawarni Hasibuan; Hermawan Thaheer
Operations Excellence: Journal of Applied Industrial Engineering VOL 12, NO 3, (2020): OE NOVEMBER 2020
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2020.v12.i3.012

Abstract

In the palm oil processing, one of the most important stages is boiling the fresh fruit bunches or sterilization, because it greatly determines the yield and quality of the CPO produced. The purpose of this study was to analyze the selection of sterilizer technology by considering the sustainability factor. A case study was conducted at PTPN V which is planning to expand its production capacity. The data used in this study consisted of primary data and secondary data. Primary data obtained from distributing questionnaires, interviews and field observations. Respondents of this study were stakeholders of the palm oil mill and PTPN V. This research combines qualitative and quantitative approaches. Qualitative analysis was conducted to describe the sterilization technology for processing fresh oil palm fruit bunches into CPO. Financial viability is evaluated based on the best sterilization technology recommendations. The results of the analysis recommend horizontal sterilized-indexer technology as a priority, followed by vertical sterilization technology and continuous sterilization technology. By paying attention to the sustainability criteria, the PKS design is integrated with PKO. This integration has implications for energy efficiency, kernel transportation, other utility facilities, and even a number of work units and personnel. The investment for the construction of PKS with a capacity of 45 tons/hour using horizontal-indexer sterilization technology requires a fund of IDR 170.8 billion were declared feasible with an IRR of 26.64%, a positive NPV, a B/C ratio of 2.23, and a PBP of 6 years and 5 months. The results of the sensitivity analysis to the assumption of an increase in production costs of 6 percent have not changed the recommendation, as well as a decrease in factory processing capacity by 6 percent.
Implementation of machine learning to increase productivity in the manufacturing industry: a literature review. Yulio Agefa Purmala
Operations Excellence: Journal of Applied Industrial Engineering Vol 13, No 2, (2021): OE July 2021
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2021.v13.i2.026

Abstract

Industry 4.0 is currently developing quite rapidly, one of the technologies that is currently very popular in the industry is artificial intelligence, where an event can be diagnosed and predicted more quickly and accurately. One of the branches of artificial intelligence that can do this is Machine Learning, and its application can now be found in daily activities. In the manufacturing industry, the application of Machine Learning is one of them is to increase productivity through the results of analysis and predictions given based on the experience gained. This study uses a systematic literature review method, in which several articles were collected from several journal databases such as Elsevier, IEE, Springer, Taylor & Francis and ACM, with the publication period of the articles from 2015 to 2020. A total of 100 articles were collected, then re-validated. suitability based on the main goals and objectives of the research. There were 36 articles that were validated and used as a reference for a more in-depth review and analysis of their boundaries, so that there was a gap for further research. In this literature review study, its application is very helpful in making decisions in improving the quality, efficiency, and performance of companies in the manufacturing industry. The most popular algorithms used in this study include random forest, support vector machine, neural network, linear regression, and k-nearest neighbor. Finally, in this study it was found that the application of Machine Learning in diagnosing or predicting an event is suggested by modeling more than one algorithm to find and determine which algorithm is the most accurate and suitable to be applied to the phenomenon that occurs.
Analisis bullwhip effect dalam sistem rantai pasok pada produk Abon dan Dendeng Sapi Asri Indra Kusumajati Susanto; RR. Rieka F Hutami
Operations Excellence: Journal of Applied Industrial Engineering Vol 13, No 2, (2021): OE July 2021
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2021.v13.i2.016

Abstract

One of the obstacles facing micro, small and medium-sized enterprises (MSMEs) in Indonesia is the bullwhip effect. The bullwhip effect is an event that occurs in the supply chain due to an increase in order fluctuations or order cancellations due to information distortions. This study aims to determine the value of the bullwhip effect and explain the main causes of its occurrence in order to explain about the approach to reducing the bullwhip effect in micro, small and medium-sized enterprises (MSMEs) in Indonesia that operational management can be maximized through operational management. This study uses quantitative methods to determine the value of the bullwhip effect. And qualitative methods are used to identify the root cause and reduction of the bullwhip effect. With primary data from interviews. In addition, secondary data comes from demand data and order data on products for distributors and retailers managed by the company. The results showed that the value of the bullwhip effect on the product at one of the micro, small and medium-sized enterprises (MSMEs) in Indonesia was almost completely above 1.00 and above the specified parameters. This provides information that there is a product bullwhip effect in one of the micro, small and medium-sized enterprises (MSMEs) in Indonesia. Meanwhile, the main cause of the bullwhip effect in one of the smallest, small and medium-sized enterprises (MSMEs) in Indonesia is a demand forecast error. 
Enterprises Resource Planning for the DAM Information System in Indonesia Bambang Handoko
Operations Excellence: Journal of Applied Industrial Engineering Vol 13, No 1, (2021): OE March 2021
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2021.v13.i1.006

Abstract

This research was conducted at the Ministry of Public Works and Public Housing, Director General of Water Resources, with a focus on research on the quality of dam data in Indonesia. The problem that occurs is that there is still a delay in data transmission by dam officials which causes the quality of realtime data to decline. This shows that there is a need for comprehensive research into the facts that occur in the field. The purpose of this research is to explore the perception that Indonesia is able to create and operate an ERP system with wide and large data coverage. The study uses the Value Stream Mapping method with a Descrete Event Simulation (DES) simulation to model a system that evolves with time. This study wants to know the future design (future state), namely developing an ERP (Entreprise Resource Planning) system based on IT technology (Information Technology) in improving the quality of integrated and realtime dam data. The results of this application are expected to have an increase in time efficiency above 95% which shows the overall time of the dam data delivery process (5 working days).
Usulan penerapan Industri 4.0 untuk rantai pasok dan logistik cerdas di perusahaan injection moulding Hendri Hendri; Sally Cahyati
Operations Excellence: Journal of Applied Industrial Engineering Vol 13, No 2, (2021): OE July 2021
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2021.v13.i2.021

Abstract

Currently, the industrial era 4.0 coincides with the covid 19 virus which is an opportunity and a challenge to choose the right business strategy. Based on the results of the evaluation of previous studies and the analysis in this study, it is known that currently there are no sensors installed on the tools used for material transfer, communication between machines and machines (M2M) currently there is no data generated so no data is communicated, the interface between humans and machines (HMI) currently uses a local user interface through the Pro-St application and the interface on the fanuc machine, the current transportation system is moving materials to production machines, a manual transportation system, namely hand lifts, materials that have been packaged and will be stored in the warehouse using a forklift (machine for manual transportation), while the unit product movement from the fanuc machine already uses a conveyor, the transportation unit as an information carrier currently has a mechanism for individual identification of materials but the status of the material is not identified in the IT system, the current storage system for placing materials is still done intuitively and the identification process for storage locations is still listed manually on the blackboard. In order for the intralogistics system to implement intelligent supply chain and logistics based on industry 4.0, it is proposed to install sensors on the device to identify material movement and the sensor and actuator interaction data can be analyzed, network connections between devices for M2M communication, use of mobile user interfaces to monitor intralogistics processes and status. identified material in the IT system.
Rancang Bangun Alat Pengupas Kulit Kopi Mentah Dengan Metode Rapid Upper Limb Assesment (RULA) Untuk Mengurangi Keluhan Muskoloskeletal Ratih Rahmahwati; Yopa Eka Prawatya; Bartolomeus Lumbantoruan
Operations Excellence: Journal of Applied Industrial Engineering Vol 13, No 1, (2021): OE March 2021
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2021.v13.i1.013

Abstract

The people of West Kalimantan, especially in Punggur, Sungai Kakap, Kuburaya execute the grinding process of coffee beans with two types of processing, namely dry processing and wet processing. In the process of wet processing, there are problems, one of them is when grinding raw coffee process before the drying process. The process of grinding raw coffee is carried out with non-ergonomic equipment that causing the workers to have musculoskeletal disorders complaints, the workers are bending over so that they cannot work for a long time, and low productivity because workers have to separate the beans from the coffee skin which takes a long time. This study aims to analyze the level of musculoskeletal disorder risk experienced by workers when using a raw coffee grinder using the Rapid Upper Limb Assessment (RULA) method. In addition, an anthropometric principle was carried out to determine the size of the tool so it can be used in an ergonomic position and can get a good working posture recommendation when using the machine. Based on RULA analysis using CATIA, show a score of 6 when lifting coffee from the grinder, grinding raw coffee, and taking the coffee grind. The result of RULA indicates that repairs and changes are needed quickly because the work posture produced by the coffee grinder is not ergonomic. Meanwhile, the results of RULA analysis using a coffee grinder after the design showed a score of 3 when lifting coffee from the grinder, a score of 4 when grinding raw coffee, a score of 3 when taking the results of the coffee grind. The score shows that the resulting posture is ergonomic and feasible to apply.
Analisis Potensi Bahaya Pada Proses Produksi Barecore Menggunakan Metode HAZOP dan OHS Risk Assessment Indah Pratiwi; Indah Prasetya Ningrum
Operations Excellence: Journal of Applied Industrial Engineering Vol 13, No 1, (2021): OE March 2021
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2020.v13.i1.002

Abstract

The process of making a barecore still uses traditional and simple human labor and machining technology. In the production process, there are several sources of danger found, namely: machines used, work attitudes, work methods, raw materials, and the resulting sawdust disturbs environmental quality. This study aims to identify, assess the risk of hazards in the production process as well as corrective actions to control hazards using the Hazard and Operability (HAZOP) method. The research steps were hazard identification, risk assessment and corrective action. For hazard risk assessment, the OHS Risk Assessment method is used. The results of this study found that there are four sources of danger, namely the work environment, humans, materials, and machines. The results of the risk assessment calculation obtained three risk values, namely low risk with the number of findings of 13 potential hazards, medium risk with the number of findings of 78 potential hazards and high risk with the number of findings of two potential hazards. Risk control efforts to reduce potential hazards can be done by: using personal protective equipment, adding boxes as wooden material containers, making standard operating procedures, and providing first aid facilities.
Framework pengukuran kinerja rantai pasok industri kemasan plastik menggunakan metode SCOR-AHP Deky Aryanto; Sawarni Hasibuan
Operations Excellence: Journal of Applied Industrial Engineering Vol 13, No 2, (2021): OE July 2021
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2021.v13.i2.017

Abstract

The manufacturing industry in general cannot be separated from the role of the plastic industry. In Indonesia, there are 925 companies that produce various kinds of plastic products for the food and beverage industry, automotive industry, pharmaceutical industry and other industries. Companies are faced with challenges to improve their supply chain competitiveness, while plastic packaging companies generally do not have a comprehensive performance measurement framework in their supply chains. The purpose of this research is to select and determine the level of importance of the Key Performance Indicator (KPI) for measuring the supply chain performance of the plastic packaging industry using the SCOR and AHP framework. In the initial stage, 45 KPIs were identified, from the results of expert validation, 29 KPIs were distributed to the dimensions of reliability, responsiveness, flexibility, cost, and assets. At the level 1 hierarchy the greatest level of importance is generated in the dimensions of reliability (A1), asset management (E1), responsiveness (B1), cost (D1), and flexibility (C1) with weights of 0.262, 0.209, respectively. 0.191, 0.175, and 0.163. The largest distribution of KPIs is on the reliability dimension, namely 32%, followed by the cost dimension of 16%, 12% responsiveness, flexibility and asset management have the same distribution, namely 4%. Based on the results of weighting using the AHP method, a supply chain performance measurement framework is recommended in the case of the plastic packaging industry.

Page 19 of 32 | Total Record : 317

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