OPSIPub Date : 2023-06-19DOI: 10.31315/opsi.v16i1.8554
Siti Mahsanah Budijati, F. H. Astuti, W. S. Jatiningrum
{"title":"Conceptual Model of Inhibiting Factors to Intent as Waste Cooking Oil Collection Facility","authors":"Siti Mahsanah Budijati, F. H. Astuti, W. S. Jatiningrum","doi":"10.31315/opsi.v16i1.8554","DOIUrl":"https://doi.org/10.31315/opsi.v16i1.8554","url":null,"abstract":"One of the critical points in realizing reverse logistics (RL) activities is determining the collection location for the products to be managed. Used cooking oil is a consumable product that can be collected through RL activities. Currently, the collection of used cooking oil in some food service businesses in the city of Yogyakarta is carried out by collectors. Collectors carry out their activities based on economic interests. In contrast, from the view of long-term interests, the management of used cooking oil is a manifestation of a sustainable supply chain. So that the management of used cooking oil is not solely aimed at economic interests but also to realize environmental sustainability and social support, cooperation between food service businesses is needed. One form of such cooperation is the provision of collection facilities. However, preliminary studies in this research found that no food service businesses were willing to act as collection facilities. For this reason, this study proposes a conceptual model of the inhibiting factors for intending as a used cooking oil collection facility for food service business actors. The research method was carried out through a literature review as the basis for preparing the conceptual model. The result study is a conceptual model that can be used as a basis for further research","PeriodicalId":34167,"journal":{"name":"OPSI","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41660741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
OPSIPub Date : 2023-06-19DOI: 10.31315/opsi.v16i1.9148
Astrid Wahyu Adventri Wibowo, Tri Wisudawati
{"title":"Feasibility Study of Machines Addition in CV. XYZ","authors":"Astrid Wahyu Adventri Wibowo, Tri Wisudawati","doi":"10.31315/opsi.v16i1.9148","DOIUrl":"https://doi.org/10.31315/opsi.v16i1.9148","url":null,"abstract":"CV. XYZ is a belt-producing MSME located in Surakarta. The problems faced by CV. XYZ is the unavailability of product variations, or it can be said that these MSMEs do not yet have various product differentiations. Coupled with productivity at CV. XYZ is still bad. The workers use manual tools and the belts are perforated using nails and hammers. Based on these problems, this study aims to help CV. XYZ determines the best investment alternatives in order to maximize profits. There are 2 investment alternatives offered to increase product differentiation CV. XYZ. The first alternative (A1) is to add a pattern-making machine and replace a belt-punching tool, while the second alternative (A2) is to invest in adding a motif-making machine only. In this study, several methods were used, namely Pay Back Period (PBP), Net Present Value (NPV), Internal Rate of Return (IRR), and Profitability Index (PI). Recommendations are given to CV. XYZ is the second alternative (A2), which is investing in the addition of a pattern-making machine.","PeriodicalId":34167,"journal":{"name":"OPSI","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41679958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
OPSIPub Date : 2023-06-19DOI: 10.31315/opsi.v16i1.7310
Danaswara Amara Dhika, A. Witonohadi, Annisa Dewi Akbari
{"title":"The Proposed Warehouse Improvement Using Lean Approach to Eliminate Waste at the Main Warehouse of PT. XYZ","authors":"Danaswara Amara Dhika, A. Witonohadi, Annisa Dewi Akbari","doi":"10.31315/opsi.v16i1.7310","DOIUrl":"https://doi.org/10.31315/opsi.v16i1.7310","url":null,"abstract":"One of the grocery companies in Indonesia provides a multi-channel e-groceries digital platform for online daily shopping activities. One of the important elements that support the operational activities of an e-commerce service industry is the warehouse, which serves as a storage place for goods sold and plays a role in maintaining the quality of products before being sent to consumers. Based on observations and interviews directly with employees at the Main Warehouse, one of the causes of waste in its operational activities is the lack of optimal warehousing activities. This research aims to find out and identify waste in the Main Warehouse’s warehousing activities so that the waste that occurs can be investigated, the implementation of the Lean Warehouse approach is needed in its warehousing activities. The research began with Current State VSM with a PCE value of 47.94%, followed by Process Activity Mapping (PAM) and TIM U WOOD Assessment Questionnaire. The results of this study were obtained based on predictions after the proposed improvements were implemented, there was a reduction in processing time and the amount of waste that occurred in several operational activities at the Main Warehouse. The PCE value increased as 5.22% to 53.16% in the Future State VSM.","PeriodicalId":34167,"journal":{"name":"OPSI","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45865178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
OPSIPub Date : 2023-06-19DOI: 10.31315/opsi.v16i1.8745
A. Rifai, Arief Rahman Alfithra, Chanif Faruq Al'adiat, W. P. Sari
{"title":"Facility Layout Planning for Pyrolyzer Production Using Automated Layouts Design Program (ALDEP) Method","authors":"A. Rifai, Arief Rahman Alfithra, Chanif Faruq Al'adiat, W. P. Sari","doi":"10.31315/opsi.v16i1.8745","DOIUrl":"https://doi.org/10.31315/opsi.v16i1.8745","url":null,"abstract":"One important factor to consider in increasing productivity in a company is the design of the facility layout. PT Hari Mukti Teknik is keen producing pyrolysis machine to contribute to addressing waste issue in Indonesia. Currently, the facility layout at the company is not suitable to produce pyrolizers as it was set up to produce industrial scale washing machines. To improve production efficiency, PT Hari Mukti Teknik needs facility layout that can be optimized for pyrolizers. The purpose of this study is to provide a layout design proposal for the pyrolysis machine manufacturing process to obtain an effective and efficient process. Here, we used ALDEP method to produce layouts based on consideration of the level of relationship between departments. There were 4 alternatives for the manufacturing and production and two alternative layouts for employee and office area. The design for new layout was selected based on the closeness relationship between the departments. An overall facility layout plan that is required for the production of pyrolysis machines is a building area the total of 1045 m² covering manufacturing, production, employee, office and parking space areas.","PeriodicalId":34167,"journal":{"name":"OPSI","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44969270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
OPSIPub Date : 2023-06-19DOI: 10.31315/opsi.v16i1.9004
Anas Saifurrahman
{"title":"A Model for Robot Arm Pattern Identification using K-Means Clustering and Multi-Layer Perceptron","authors":"Anas Saifurrahman","doi":"10.31315/opsi.v16i1.9004","DOIUrl":"https://doi.org/10.31315/opsi.v16i1.9004","url":null,"abstract":"Predictive maintenance of industrial machines is one of the challenging applications in Industry 4.0. This paper presents a comprehensive methodology to identify robot arm (SCARA) movement patterns to detect the mechanical aging of the robot, which is determined by the abnormal movement of the robot arm. The dataset used is two robot arm movements that go from point A to B and then back to point A. Accelerometer data is used to measure the signal of SCARA actions, mainly focus on the non-linear movement. The identification of the movement pattern of the robot arm is made by combining k-means and multilayer perceptron. The proposed approach first extracts valuable features as characteristics of the two datasets from the time domain statistical value parameters. K-means clustering technique is initiated to label the training dataset. In this phase, the elbow curve is used to determine the number of clusters in the dataset, which is 2 clusters. Moreover, the assumption is used to determine which cluster is labeled as a normal and abnormal movement. Hence, a multilayer perceptron approach is proposed to predict the testing dataset. The proposed multilayer perceptron model yields an accuracy of 94.14%, whereas its cross-validation yields an accuracy of 96.12%.","PeriodicalId":34167,"journal":{"name":"OPSI","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42254664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Determination of Customer Order Decoupling Point (CODP) Based on Mass Customization Concept to Minimize Manufacturing Lead Time","authors":"Yuli Dwi Astanti, S. Sadi, Deni Widiyanto, Puryani Puryani, Trismi Ristyowati","doi":"10.31315/opsi.v16i1.9679","DOIUrl":"https://doi.org/10.31315/opsi.v16i1.9679","url":null,"abstract":"Make To Order (MTO) is a manufacturing strategy that executes different orders based on consumer demand. In the MTO strategy, products are produced only when there are orders from consumers. In this MTO system, the production process starts when an order arrives and starts with planning raw materials which takes a long time and causes a long lead time (MLT). Long MLT often causes production delays and forces companies to pay more overtime. Companies must adopt a production system that can fulfill a variety of orders and has a fast response time. In this research, a case study was conducted on a shoe and bag manufacturing company in the fashion industry. This study aims to implement a mass customization manufacturing (MC) strategy to minimize MLT. The MC strategy uses the concept of a production process based on orders and inventory. This study is expected to reduce MLT so that production delays do not occur again. The results of this study indicate that relocation of the customer order decoupling point (CODP) can reduce MLT from 30 days to 26 days. By reducing this, production delays can be overcome. In terms of costs, this production system is lower than before and the profits are higher.","PeriodicalId":34167,"journal":{"name":"OPSI","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43109648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
OPSIPub Date : 2023-06-19DOI: 10.31315/opsi.v16i1.7434
Idriwal Mayusda
{"title":"Quality Improvement of Tin Ingot Product Using Six Sigma Method at PT Timah Tbk","authors":"Idriwal Mayusda","doi":"10.31315/opsi.v16i1.7434","DOIUrl":"https://doi.org/10.31315/opsi.v16i1.7434","url":null,"abstract":"Bangka brand (BA) tin metal bar (ingot) has the highest defect percentage value of 2.01% from June to September 2021. This percentage exceeds the minimum non-conformity product standard of 0.25 %. This study aims to identify the types and factors that cause defects and propose improvements for the quality of products. The research uses the six-sigma method with DMAIC stages. Types of ingot defects include winging, rough surface, curved edges, bumps on the surface, presence of flakes, asymmetrical brand logos, spatters of tin metal, cracks/breaks, and exceeding weight specification. The results of the sigma level are 2.36 (variable data) and 3.15 (attribute data). The highest RPN value (240) occurs in the type of failure of the tin ingot test with the cause of failure, namely, the machine is experiencing troubleshooting. The second highest RPN value (210) occurs in the casting process with the cause of failure, namely the operator's lack of job mastery. Proposed improvements that can be implemented are the application of tin casting process work instructions. The implementation results show an increase in the sigma level to 2.44 (variable data) and 3.19 (attribute data)","PeriodicalId":34167,"journal":{"name":"OPSI","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46980659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
OPSIPub Date : 2023-06-19DOI: 10.31315/opsi.v16i1.7531
Dika Restu Elyuda, W. Isnaini, H. A. Khoiri
{"title":"Line Balancing Model Analysis in Improving Production Line Efficiency Case Study: PT XYZ","authors":"Dika Restu Elyuda, W. Isnaini, H. A. Khoiri","doi":"10.31315/opsi.v16i1.7531","DOIUrl":"https://doi.org/10.31315/opsi.v16i1.7531","url":null,"abstract":"The production line system is an important problem for the majority of manufacturing industries in Indonesia. PT XYZ is manufacturing company focuses on general construction and mining products supplier. Friction Bolt Stabilizer is one PT XYZ’s superior products. The problem in the friction bolt stabilizer production line is unbalanced distribution of work elements. Based on these problems, in this study a solution is provided by comparing the actual production line with the results of line balancing analysis. There are two methods used, namely Ranked Positional Weight and Killbridge Western Heuristic. The result is that the Killbridge western heuristic method produces the best design with a performance level of 91% line efficiency, 9% balance delay, a total of four workstations and a smoothness index value of 401.55 seconds","PeriodicalId":34167,"journal":{"name":"OPSI","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46681684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
OPSIPub Date : 2023-06-19DOI: 10.31315/opsi.v16i1.6786
Laelatul Fitria, D. Tauhida, A. Sokhibi
{"title":"Quality Control with Six Sigma Method to Minimize Polyester Fabric Product Defects at PT Sukuntex","authors":"Laelatul Fitria, D. Tauhida, A. Sokhibi","doi":"10.31315/opsi.v16i1.6786","DOIUrl":"https://doi.org/10.31315/opsi.v16i1.6786","url":null,"abstract":"Quality control needs to be done to face industrial competition. PT. Sukuntex is a textile industry that produces fabrics, one of which is polyester with 58% production from the total fabric production. PT. Sukuntex has a make to order fabric production system, the company carries out quality control by inspecting every fabric produced in the quality control division. In this study, an analysis of polyester fabric quality control using the six sigma method with the DMAI (Define-Measure-Analyze-Improve) steps to determine the DPMO value, the company's sigma level, the causes of defects, and improvements. The results of this study found 3 dominant defects based on the Pareto diagram, namely thin thickness, sparse, and dirty oil. In calculating the DPMO value, the result is 49,825.15 meters with the sigma value obtained is 3.15. The sigma value can increase with quality improvement. Therefore, the causes of defects were analyzed using a fishbone diagram which resulted in human, machine, method, and environmental factors. FMEA-AHP method for improvement priorities, where FMEA analyzes the ranking of the causes of defects, then prioritizes improvement based on weights with AHP. Improvement plan using the 5W+1H method at the improve stage.","PeriodicalId":34167,"journal":{"name":"OPSI","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46703989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
OPSIPub Date : 2023-06-19DOI: 10.31315/opsi.v16i1.9111
Kartika Suhada, Rainisa Maini Heryanto, Winda Halim, Tubagus Ismail
{"title":"Perancangan Kursi Roda Terapi untuk Penderita Stroke","authors":"Kartika Suhada, Rainisa Maini Heryanto, Winda Halim, Tubagus Ismail","doi":"10.31315/opsi.v16i1.9111","DOIUrl":"https://doi.org/10.31315/opsi.v16i1.9111","url":null,"abstract":"Stroke could cause paralysis and reduced body function. In an effort to self-mobilize, a stroke patient needs a wheelchair. Even though the existing wheelchairs have undergone significant development, both in terms of design and technology, the function of these wheelchairs is still limited, to assist users in carrying out their daily activities and there is no wheelchair that functions as a wheelchair. therapy tool. One way to recover from a stroke and help prevent further disability is therapy, both medical therapy and alternative therapy. Therefore, in this study a wheelchair was designed to function as a therapeutic tool by making circular movements carried out by the arms, hands and legs as well as movements away from and towards the chest carried by the arms and hands so that the muscles could be strengthened, thus helping the recovery process from stroke, especially those that attack the hands and feet of stroke sufferers. The method used in the design is design thinking that focuses on humans, knowing user needs, and innovating according to user needs. The design thinking process consists of 5 stages: empathize, define, ideate, prototype, and test. In its design, wheelchairs are also made to consider ease of installation and use.","PeriodicalId":34167,"journal":{"name":"OPSI","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41820163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}