@article { author = {Tahasin, Tasnim Ahmed and Gupta, Himadri Sen and Tuli, Noshin Tasnim}, title = {Analyzing the Impact of 5S implementation in the manufacturing department: a case study}, journal = {International Journal of Research in Industrial Engineering}, volume = {10}, number = {4}, pages = {286-294}, year = {2021}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2021.229039.1230}, abstract = {5S is a systematic approach that helps to organize a workplace for increasing efficiency and reduce wasting of productivity by providing an organized safe environment. The objective of this paper is to emphasize the implementation of 5S principles for the workplace by reflecting a tooling problem of a manufacturing unit. This article examines the challenges experienced in the implementation of 5S methodology to optimize labor and safety in a manufacturing department by showing the gap of productivity caused while not having 5S methodology in workplaces. The time consumption analysis of 5S implementation through shadow boarding demonstrates workers who have been able to perform work more efficiently along with a significant reduction of searching time of tools. The results showed that 5S along with the shadow boarding technique creates improvement in efficiency, workspace, equipment search time, working environment and safety. Consequently, this shadow boarding technique would strongly support the objectives of multinational companies to achieve continuous improvement and higher performance.}, keywords = {5S Lean Tool,Lean manufacturing,Shadow Boarding Foam,Visual inspection,7 Waste}, url = {https://www.riejournal.com/article_137061.html}, eprint = {https://www.riejournal.com/article_137061_84a48d63feb5e6f56b2941857dad6a0f.pdf} } @article { author = {Ebrahimi, Seyed Mohsen and Shahnazari-Shahrezaei, Parisa}, title = {Designing the multivariate nonconforming proportion control charts considering the measurement error}, journal = {International Journal of Research in Industrial Engineering}, volume = {10}, number = {4}, pages = {295-306}, year = {2021}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2021.309925.1258}, abstract = {Most qualitative characteristics cannot be easily reported numerically. In such cases, each product is inspected and usually divided into two conforming and nonconforming groups based on their qualitative characteristics. Since nowadays products and processes have generally several interdependent qualitative characteristics, it is necessary to use multivariate quality control methods to make the relationship between variables and their variations. To do this, the sampling of the considered qualitative characteristic is done at the specified time intervals to check the control of the process over time after drawing the considered statistic on the control chart. A common problem while sampling is measurement error. It affects the performance of control charts, impairs their ability to detect changes in the process, and increases the cost and time to search for out-of-control situations. In this paper, the effect of measurement error on the performance of the Multivariate Nonconforming Proportion (MNP) control chart has been evaluated based on the criterion of Average Run Length (ARL) for the first time. The results imply that the measurement error has a considerable impact on the performance of this chart. Also, the results indicate that if the defective items have been wrongly considered as correct items, we would have a higher ARL compared to an ideal and accurate system. On the other hand, if the system considers right items as defective, we will have a lower ARL than the ideal and accurate system. It is proved that if both errors (considering faulty items as correct ones and vice versa) occur simultaneously, the ARL will be reduced like the previous case.}, keywords = {Multivariate Control Chart,Measurement error,Average Run Length (ALR)}, url = {https://www.riejournal.com/article_141125.html}, eprint = {https://www.riejournal.com/article_141125_bfbd89046b690dd76b93ccbe5a1afa7f.pdf} } @article { author = {Chansamut, Artaphon}, title = {Supply chain management information system model for quality assurance in educational management for ASEAN University network quality assurance (AUN-QA)}, journal = {International Journal of Research in Industrial Engineering}, volume = {10}, number = {4}, pages = {307-317}, year = {2021}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2021.293034.1231}, abstract = {The research aims to design and to assess the suitability supply chain management information system model for quality assurance in educational management for ASEAN University Network Quality Assurance (AUN-QA). The samples are 15 experts selected by purposive sampling. The data is analyzed by means and standardized deviations statistically. The research result shows that supply chain management information system model for quality assurance in educational management for AUN-QA is consisted of 5 keys which are main components, suppliers, manufacturer, customer, consumers. The data is analyzed by using arithmetic mean and standard deviation. The assessment of supply chain management information system model for quality assurance in educational management for AUN-QA. The results showed that the model was validated at a “high” level, suggesting that supply chain management information system model for quality assurance in educational management for AUN-QA aims to support sustainable   information system development.}, keywords = {Supply chain management,Information system model,Quality assurance in educational management,AUN-QA}, url = {https://www.riejournal.com/article_140708.html}, eprint = {https://www.riejournal.com/article_140708_56ac74e8964a8beaadd4dafe7c31a75a.pdf} } @article { author = {Gurmu, Eshetu and Bole, Boka and Koya, Purnachandra}, title = {Optimal control strategy on the transmission dynamics of human papillomavirus (HPV) and human immunodeficiency viruses (HIV) coinfection}, journal = {International Journal of Research in Industrial Engineering}, volume = {10}, number = {4}, pages = {318-331}, year = {2021}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2021.294463.1234}, abstract = {In this paper, optimal control theory is applied to Human Papillomavirus (HPV) and Human immunodeficiency viruses (HIV) coinfection model given by using a system of ordinary differential equations. Optimal control strategy was employed to study the effect of combining various intervention strategies on the transmission dynamics of HPV-HIV coinfection diseases. The necessary conditions for the existence of the optimal controls were established using Pontryagin’s Maximum Principle. Optimal control system was performed with help of Runge-Kutta forward-backward sweep numerical approximation method. Finally, numerical simulation illustrated that a combination of prevention, screening and treatment is the most effective strategy to minimize the disease from the community.}, keywords = {Coinfection,mathematical model,Stability,Optimal control,Simulation}, url = {https://www.riejournal.com/article_140490.html}, eprint = {https://www.riejournal.com/article_140490_fb8c6f18c0206f50c5ed2b03de052f29.pdf} } @article { author = {Nurprihatin, Filscha and Gotami, Metta and Rembulan, Glisina}, title = {Improving the performance of planning and controlling raw material inventory in food industry}, journal = {International Journal of Research in Industrial Engineering}, volume = {10}, number = {4}, pages = {332-345}, year = {2021}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2021.306872.1250}, abstract = {This paper discusses the inefficient and inaccurate raw material supply at a food company which results in a backlog. This means the overstock occurs so that the improvement of inventory control needs to be done. ABC classification is firstly utilized as input for Material Requirements Planning (MRP). This paper focuses on four products which are classified into A class. Then, this paper discusses the Triple Exponential Smoothing (TES) as the forecasting method. Aggregate planning is also conducted for better production planning. The results of aggregate planning provide solutions to increase the workforce to balance production capacity by the number of demands. Squared Coefficient of Variation (SCV) calculations indicates the demand follows a static pattern. Therefore, the appropriate lot sizing method is the Economic Order Quantity (EOQ) to carry out the production needs. Finally, this paper uses capacity planning using Rough-Cut Capacity Planning (RCCP) and Capacity Requirement Planning (CRP) methods. As a result, the capacity meets the Master Production Schedule (MPS) as well as MRP and they are feasible to be implemented.}, keywords = {ABC classification,Inventory control,capacity planning}, url = {https://www.riejournal.com/article_140491.html}, eprint = {https://www.riejournal.com/article_140491_3c9b4d0b299ad3ed0c68c22e23c04a83.pdf} } @article { author = {Jamshidi, Rasoul and Sadeghi, Mohammad Ebrahim}, title = {Application of accelerated life testing in human reliability analysis}, journal = {International Journal of Research in Industrial Engineering}, volume = {10}, number = {4}, pages = {346-357}, year = {2021}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2021.288263.1227}, abstract = {As manufacturers and technologies become more complicated, manufacturing errors such as machine failure and human error have also been considered more over the past. Since machines and humans are not error-proof, managing the machines and human errors is a significant challenge in manufacturing systems. There are numerous methods for investigating human errors, fatigue, and reliability that categorized under Human Reliability Analysis (HRA) methods. HRA methods use some qualitative factors named Performance Shaping Factors (PSFs) to estimate Human Error Probability (HEP). Since the PSFs can be considered as the acceleration factors in Accelerated Life Test (ALT). We developed a method for Accelerated Human Fatigue Test (AHFT) to calculate human fatigue, according to fatigue rate and other effective factors. The proposed method reduces the time and cost of human fatigue calculation. AHFT first extracts the important factors affecting human fatigue using Principal Component Analysis (PCA) and then uses the accelerated test to calculate the effect of PSFs on human fatigue. The proposed method has been applied to a real case, and the provided results show that human fatigue can be calculated more effectively using the proposed method.}, keywords = {Error,Accelerated Life Testing,Human fatigue,Maufacturing}, url = {https://www.riejournal.com/article_141897.html}, eprint = {https://www.riejournal.com/article_141897_603aad0206873b61f95d541e767bfe23.pdf} } @article { author = {Malele, Vusumuzi and Mafu, Mhlambululi}, title = {Harmonisation of the engineering disciplines enhanced by the learning factory}, journal = {International Journal of Research in Industrial Engineering}, volume = {10}, number = {4}, pages = {358-370}, year = {2021}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2021.314637.1265}, abstract = {All engineering graduates must possess specific essential competencies when leaving universities to transition to the industry or be successful in the world of work. This paper adopts a literature review approach to synthesise available secondary data regarding creating harmony among engineering disciplines. It uses the illustration of a vending machine to indicate how various engineering disciplines could be harmonised through the Learning Factory platform. Moreover, it provides some ideas for harmonising engineering disciplines. The main findings of this work suggest that the Learning Factory concept is a critical ideology that is worth implementing, especially by developing. The Learning Factory environment can produce well-rounded graduates capable of applying technical and non-technical skills to solve community challenges, including being entrepreneurial and innovative to drive economic growth and development. The paper concludes by providing insights demonstrating that the concept of a Learning Factory can also be utilized for addressing other engineering and industrial-related challenges.}, keywords = {Harmonization of engineering disciplines,Learning factory,Vending machine,Industry– ready graduates,Knowledge transfer,Problem-solving,engineering education}, url = {https://www.riejournal.com/article_141896.html}, eprint = {https://www.riejournal.com/article_141896_2d25ef5dbf86e3c348327830f374a638.pdf} }