Juhee Bae, G. Mathiason, Yurong Li, N. Kojola, Niclas Ståhl
{"title":"Understanding Robust Target Prediction in Basic Oxygen Furnace","authors":"Juhee Bae, G. Mathiason, Yurong Li, N. Kojola, Niclas Ståhl","doi":"10.1145/3447432.3447435","DOIUrl":"https://doi.org/10.1145/3447432.3447435","url":null,"abstract":"The problem of using machine learning (ML) to predict the process endpoint for a Basic Oxygen Furnace (BOF) process used for steelmaking has been largely studied. However, current research often lacks both the usage of a rich dataset and does not address revealing influential factors that explain the process. The process is complex and difficult to control and has a multi-objective target endpoint with a proper range of heat temperature combined with sufficiently low levels of carbon and phosphorus. Reaching this endpoint requires skilled process operators, who are manually controlling the heat throughout the process by using both implicit and explicit control variables in their decisions. Trained ML models can reach good BOF target prediction results, but it is still a challenge to extract the influential factors that are significant to the ML prediction accuracy. Thus, it becomes a challenge to explain and validate an ML prediction model that claims to capture the process well. This paper makes use of a complex and full production dataset to evaluate and compare different approaches for understanding how the data can determine the process target prediction. One approach is based on the collected process data and the other on the ML approach trained on that data to find the influential factors. These complementary approaches aim to explain the BOF process to reveal actionable information on how to improve process control.","PeriodicalId":111736,"journal":{"name":"2021 The 2nd International Conference on Industrial Engineering and Industrial Management","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127041245","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}
Irais Mora-Ochomogo, Fabiola Regis-Hernández, José Manuel Olais-Govea
{"title":"Practice-Based Education in Engineering Addressing Real-business Problems amid the Covid-19 Crisis","authors":"Irais Mora-Ochomogo, Fabiola Regis-Hernández, José Manuel Olais-Govea","doi":"10.1145/3447432.3447433","DOIUrl":"https://doi.org/10.1145/3447432.3447433","url":null,"abstract":"This qualitative research uses the content analysis of written reports that account for the solution of problematic situations that occurred in small and medium-sized companies in Mexico. The real-world problems addressed by students of Industrial and Systems Engineering at the Tecnologico de Monterrey arose from the new reality imposed by the Covid-19 pandemic, whose fingerprint is the high degree of uncertainty in the social and economic fields. The analysis presented here shows the level of integration of the categories of content learning, social learning, and learning itself, under the practice-based education approach. The success detected in the development of the various projects is due to the social interactions that the students have with the company's training partner, as well as the interaction they have with the teacher in the conceptual and procedural development of specific disciplinary content. In other words, in the transgression of school and workspaces. Correctly, discrete event simulation tools were used for decision making. In this way, the projects studied in this report evaluate and propose alternative solutions that conclude in recommendations with a mathematical simulation basis for companies to solve, to a certain extent, the impact suffered for the pandemic.","PeriodicalId":111736,"journal":{"name":"2021 The 2nd International Conference on Industrial Engineering and Industrial Management","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130559165","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}
Carlos Loaiza-Velez, Ernesto Pacheco, Sergio Ramirez-Echeverri, Camilo Vieira-Mejia
{"title":"Using Game-Based Learning for Supply Chain Education","authors":"Carlos Loaiza-Velez, Ernesto Pacheco, Sergio Ramirez-Echeverri, Camilo Vieira-Mejia","doi":"10.1145/3447432.3447437","DOIUrl":"https://doi.org/10.1145/3447432.3447437","url":null,"abstract":"This research presents the implementation of a serious game in a supply chain course. Teaching in the supply chain aims to coordinate activities to organize materials, machinery and information in order to optimize the operation of a company. This knowledge area represents a challenge for students because it integrates concepts related to mathematics, statistics and management. The use of simulators allows students to experiment with different strategies and observe the consequences of their decision making in the management of the supply chain. However, most researchers focus on student learning and have not related knowledge acquisition and game scoring. The results of this study show that the students by using this simulator, the students acquired knowledge about supply chain management and that this learning is related to their score in the game. The results of this study suggest that the simulator offers learning opportunities in the logistics area to people with different levels of knowledge, contributing to the literature on industrial engineering education.","PeriodicalId":111736,"journal":{"name":"2021 The 2nd International Conference on Industrial Engineering and Industrial Management","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129951813","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}
Dalinee Sastararuji, D. Hoonsopon, Pongsakorn Pitchayadol, Pimsiri Chiwamit
{"title":"Cloud Accounting Adoption in Small and Medium Enterprises: An Integrated Conceptual Framework: Five factors of determinant were identified by integrated Technology-Organization-Environment (TOE) framework, Diffusion of Innovation (DOI), Institutional Theory (INT) and extended factors.","authors":"Dalinee Sastararuji, D. Hoonsopon, Pongsakorn Pitchayadol, Pimsiri Chiwamit","doi":"10.1145/3447432.3447439","DOIUrl":"https://doi.org/10.1145/3447432.3447439","url":null,"abstract":"During the Covid-19 pandemic period, many SMEs are facing a variety of technology challenges, including teleworking, digitalization, and new business practices. The decision to adopt cloud computing solution has sprung to the forefront as a major concern for SMEs across the globe. This paper presents an integrated framework that combine Technology-Organization-Environment (TOE) framework, Diffusion of Innovation (DOI) theory and Institutional Theory (INT) and extended factors to characterize the critical factors shaping cloud accounting adoption in SMEs. The conceptual framework identified five factors of determinant-technology, organization, environment, vendor, and owner that influence the adoption decision from the literature reviews and qualitative method. The framework can serve as starting point to discover influential factors in cloud accounting adoption in SMEs context.","PeriodicalId":111736,"journal":{"name":"2021 The 2nd International Conference on Industrial Engineering and Industrial Management","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122322714","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}
Diego Edixon Karachas Rodriguez, Fabián Roldán, Wilson Alexander Pïnzon, Jose M. Diaz, Nicolas Rincon D., Carlos Andres Arango
{"title":"Causes and Consequences of Police Capture in Colombia around Personal Injuries and Intrafamily Violence Using Signal Processing Techniques","authors":"Diego Edixon Karachas Rodriguez, Fabián Roldán, Wilson Alexander Pïnzon, Jose M. Diaz, Nicolas Rincon D., Carlos Andres Arango","doi":"10.1145/3447432.3447448","DOIUrl":"https://doi.org/10.1145/3447432.3447448","url":null,"abstract":"This article searched causality between four national daily time series including Colombian Police operatives of capture since 2011 to 2015: first series was is the representative market rate, in Colombian pesos per US dollar, TRM; second, potential criminals captured by the Colombian National Police Force for two crimes: personal injuries and violence inside family and the final series was inpatients to health emergency services. These four daily time series are was compared in six pairwise; This six-time series pairwise was evaluated using five techniques: sperman correlation coefficient, determination coefficient, spectral analysis, wavelet coherence and the statistical causality in Granger sense in search of causality relationship. As result was obtained: first, behavioral similarity degree of each pair of time series; second, simultaneity degree; also, improvements in the simultaneity coefficient using wavelet; and finally, the frequency or cyclicity repetition of each of the variables, and the causality direction. Here was found seven relationships in the statistical sense of granger causality, among twelve possible; first the TRM causes the operational capture for personal injuries; the mutual causality between capture for personal injuries; fourth and fifth, the simultaneous causality between access to the emergency room and capture for personal injuries; and between access to emergencies and captures by violence inside family. Also was find the evolution of the police captures in every day, those was represented in heat map in time and frequency.","PeriodicalId":111736,"journal":{"name":"2021 The 2nd International Conference on Industrial Engineering and Industrial Management","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130606944","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}
Zhanybek Suleiman, Dinara Dikhanbayeva, Sabit Shaikholla, Ali Turkyilmaz
{"title":"Readiness Assessment of SMEs in Transitional Economies: Introduction of Industry 4.0","authors":"Zhanybek Suleiman, Dinara Dikhanbayeva, Sabit Shaikholla, Ali Turkyilmaz","doi":"10.1145/3447432.3447434","DOIUrl":"https://doi.org/10.1145/3447432.3447434","url":null,"abstract":"The emergence of digital technologies shapes the future societal and business environment, leading to dramatic changes in every corporate level of the enterprises. Confronted with the growing concept of Industry 4.0 which involves the extensive collaboration between physical and virtual worlds and promises a variety of substantial benefits, companies are forced to deal with a set of challenges. This is particularly relevant for such transitional economies that besides struggling to recover from aftershocks caused by the global economic crisis and socio-economic impact of the Coronavirus (COVID-19) pandemic are exposed to the risk of being left behind in the global competition due to the lack of systematic approach of catching up with the recent technological advancements. Therefore, there is a need for a comprehensive view on the organizational strategy, processes, operations, products, and culture. As it will help to assess the current development progress of SMEs and to lay the foundation for establishing a detailed roadmap toward the implementation of smart manufacturing systems and Industry 4.0 in general. Moreover, SMEs are defined as backbones of the transitional economies, so that for such developing countries as the Republic of Kazakhstan, the improvement of the segment is of utmost importance. That is why SMEs must take proactive actions in Industry 4.0 projects and build their implementation strategies. This paper introduces a novel readiness model which in particular, suited for the manufacturing SMEs of emerging economies.","PeriodicalId":111736,"journal":{"name":"2021 The 2nd International Conference on Industrial Engineering and Industrial Management","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128759031","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}
Paolo Cornejo, W. Moreno, Ernesto Aparicio, C. del Carpio
{"title":"Inventory Management Model in the Commercial Sector to Reduce Inventory Levels Through the Use of Demand Forecasts and Economic Order Quantity","authors":"Paolo Cornejo, W. Moreno, Ernesto Aparicio, C. del Carpio","doi":"10.1145/3447432.3447441","DOIUrl":"https://doi.org/10.1145/3447432.3447441","url":null,"abstract":"The high competitiveness and variability of demand in the commercial sector has led companies to efficiently manage their inventory management to optimize their warehouse stocks. The main problem that occurs most frequently in the sector is the excess inventory in its main warehouse. This is due to inadequate inventory management that allows a balance in the level of inventory without neglecting the estimated demand. Because of this, we propose an inventory management model and design a simulation system to evaluate the viability of this. From the results obtained, it is concluded that the proposed inventory management model will reduce inventory costs by 30.66%, avoiding excess inventories and optimizing costs.","PeriodicalId":111736,"journal":{"name":"2021 The 2nd International Conference on Industrial Engineering and Industrial Management","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121841263","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":"A Portfolio Selection using Safety First Model for US Blue Chip and Top 30 Companies under NYSE list during COVID-19","authors":"Ryan Manzanero Paradina, Michael Nayat Young","doi":"10.1145/3447432.3447445","DOIUrl":"https://doi.org/10.1145/3447432.3447445","url":null,"abstract":"A stock is an investment wherein you purchase one of the company's stocks which by means is called a share. Most investors think that when they purchase a stock, it will go up the value. It will result also in to impact of an increase to the company's stocks as well. Because there are many stocks to check and invest in, the researcher chose the US stock market and considered in this study as a prime and one of the most powerful stock markets in the world. A so-called portfolio investment means a group of assets on which these are the chosen US companies. The goal of this study is to identify and look for a portfolio that outperforms benchmark markets (New York Stock Exchange, Dow Jones, and S&P 500) during the situation of pandemic Covid-19. The top 30 companies in the NYSE list are considered as the investment pool wherein some are tagged also as blue chips. From this, the researcher was able to develop and look for a portfolio that can outperform the markets during months between March to August 2020. Using the safety-first model to back-test, it was observed from the return statistics of the back-test period that a hopeful investor can outperform the benchmark markets during times of pandemic. Also, in these pandemic times, it is important for the investors to know the current situation and impact where their money is going and if it is advisable to invest. Also, it is obvious that when you are an investor, you should know when and where your money earned profit and have good investment options. It is important in this study to know what are the substantial risks during a pandemic and what could be the long-term strategy for your chosen stocks. For first time investors, this paper will help them assess their budget on stocks, where to invest their money, and the impact of a pandemic on their money.","PeriodicalId":111736,"journal":{"name":"2021 The 2nd International Conference on Industrial Engineering and Industrial Management","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131037653","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":"2021 The 2nd International Conference on Industrial Engineering and Industrial Management","authors":"","doi":"10.1145/3447432","DOIUrl":"https://doi.org/10.1145/3447432","url":null,"abstract":"","PeriodicalId":111736,"journal":{"name":"2021 The 2nd International Conference on Industrial Engineering and Industrial Management","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128069773","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}