International Joint Conference on Industrial Engineering and Operations Management Proceedings最新文献

{"title":"Strategic Thinking and Mental Models: Comparison Between Brazilian and Spanish Students - Implications for the Teaching-Learning Process","authors":"F. Bressan","doi":"10.14488/ijcieom2023_full_0041_37707","DOIUrl":"https://doi.org/10.14488/ijcieom2023_full_0041_37707","url":null,"abstract":". In this business environment characterized by VUCA, strategic thinking (ST) is mandatory for the company's strategic objectives accomplishment. ST competence is related to neurocognitive functioning, that is, to the mental model (MM), which can be Operational Mental Model (OMM) or Strategic Mental Model (SMM), which is more conducive to Strategic thinking. Many students report difficulty in dealing with strategic issues and prefer disciplines that are more operational and focused on the present. This difficulty results from their preferences for an operational MM having the focus on the here and now. Instead of the Strategic MM linked to ST. This paper presents survey results of undergraduate students’ Mental Models at UNICAMP (Brazil) and UPC (Barcelona), analyzes the incidence of the MM conducive to strategic thinking, and presents a comparative analysis between them. It discusses the relationship between the ST and the MM and its relations with the teaching and learning process. It concludes that the MM may be one of the causes of students' difficulty with the ST demands and proposes alternatives for developing the SMM.","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"430 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126095853","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":"Efficiency Analysis of Classes from an Engineering Course in South America","authors":"P. N. A. Junior, Isotilia Costa Melo, Paul Leger","doi":"10.14488/ijcieom2023_abst_0051_37797","DOIUrl":"https://doi.org/10.14488/ijcieom2023_abst_0051_37797","url":null,"abstract":". Improving the teaching and learning process of engineering is one of the critical aspects for developing countries. The objective of this project is to analyze the learning performance in the engineering classes of the School of Engineering of Coquimbo (EIC), Universidad Católica del Norte (UCN), Chile. The methodological design is based on Data Envelopment Analysis (DEA) and applied to aspects related to the learning performance of students and teaching. The data from 70 classes of the first semester of 2022 was collected from UCN's educational system database. Based on the DEA methodology and factors related to learning performance, we expect to make recommendations and suggestions based on the results, implying that the UCN, but also engineering courses around the world, can improve aspects related to the classes.","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126301369","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":"Using robust approach concept to solve the production planning problem in manufacturing systems","authors":"M. Gonçalves, R. Sampaio, R. Wollmann, Elpídio Oscar Benitez Nara, Izamara Cristina Palheta Dias","doi":"10.14488/ijcieom2023_full_0031_37686","DOIUrl":"https://doi.org/10.14488/ijcieom2023_full_0031_37686","url":null,"abstract":". The use of Linear Programming (LP) models to plan production has been widely used to provide optimal solutions. However, LP models as well as models based on Material Requirements Planning (MRP) use deterministic parameters. In this context, one of the classic approaches to deal with a dynamic and uncertain scenario is the robust approach, which proposes a suboptimal solution through deterministic approaches capable of incorporating variations in the problem solutions. A parameter that is subject to such variation is the system's production capacity, since this parameter is directly impacted by the way the system is workloaded and its cycle times. Thus, to analyze the relationship among system’s production capacity, cycle time and work-in-process, an alternative is modeling the production system as a queuing system using little’s law. This research aims to solve the production planning problem modeled as a queuing system to propose managers a production planning model that uses efficient, simple and robust methods. Therefore, a theorem was proposed to prove the effectiveness of the used method. As a result, the mathematical model obtained allows the planner to make the use of a robust linear programming model, with low computational cost, capable of obtaining good quality solutions when compared to complex nonlinear programming problems. Finally, the model was submitted to a numerical experiment to better illustrate how it works with the inputs from an electronic component manufacturing company.","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128807874","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":"Economic risk prevention model for Micro and Small Enterprises","authors":"Jesus Raymundo Rivera Aguilera, Daniel Ricardo Eckhardt da Silva","doi":"10.14488/ijcieom2023_full_0039_37829","DOIUrl":"https://doi.org/10.14488/ijcieom2023_full_0039_37829","url":null,"abstract":"","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128660500","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 Framework for Integrated Decision-making In Railroad Networks","authors":"R. Chandrasekharan, R. V","doi":"10.14488/ijcieom2023_abst_0044_37747","DOIUrl":"https://doi.org/10.14488/ijcieom2023_abst_0044_37747","url":null,"abstract":". Railroad networks are capital intensive operations that involve interaction between thousands of dynamic entities for e.g. trains, passengers, etc. while constrained by a fixed set of limited resources such as tracks, trains and platforms. Mathematical programming models have been used to allocate and operate resources efficiently and effectively but are applied separately at various levels of the decision making hierarchy namely, operational, tactical and strategic. While the individual considerations of the models at the different levels of decision making may be different (for example, the time horizons and problems addressed), decisions made at various levels affect each other due to common constraints originating from the static nature of the railroad topology, long lead times to add resources, etc. Further, real-time operational disruptions provide feedback that should be incorporated back into the tactical and strategic decision models to improve the model’s performance. One limitation of the current decision models is their stand-alone development with minimal interaction and feedback between decision levels. For e.g., time tables generated using customer demand form constraints for real-time operational planning. Separate treatment of long term strategic decisions and tactical models and modelling them in isolated fashion reduces its practical utility as interactions between these levels are ignored. We show interdependent nature of decision-making at various levels by bringing out the interplay between inter-level model constraints and variables.","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115802658","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":"Economic analysis of the wind energy generation: overview and current perspectives","authors":"L. C. Rocha, P. R. Junior, A. Maheri","doi":"10.14488/ijcieom2023_abst_0032_37719","DOIUrl":"https://doi.org/10.14488/ijcieom2023_abst_0032_37719","url":null,"abstract":". The transition to a low-carbon economy necessarily involves the implementation of large-scale electricity generation from Renewable Energy (RE) sources [1], which now account for around 30% of electricity generation in the world [2]. In this context, developing countries will play a key role as they present the best environmental conditions for generating electricity through RE sources and have the highest rate of growth in demand for electricity [3]. Wind and solar generation have consolidated their predominance in current investments so that electricity from RE sources is now the cheapest power option in most regions of the world [4]. Given the current high fossil fuel prices, renewable electricity has become even more competitive [5]. RE sources are fast becoming the cornerstone of the global electricity sector. In a carbon-neutral economy scenario for 2050, the share of RE sources in electricity generation will correspond to approximately 90%, with almost 70% of electricity being from wind and solar photovoltaic energy. However, several countries will face limitations to their solar photovoltaic energy generation potential due to land area restrictions [6]. In this way, wind energy will gain even more relevance in some countries, such as European ones, which will have to implement other sources of clean energy [7]. Due to the complexity and high capital costs involved in large-scale wind power generation projects, the economic analysis of these investments becomes fundamental, indicating the need to use management and risk analysis tools to reduce the possible impacts for investors [8]. Indeed, finding a suitable investment strategy is central to determining success in wind farm investments. Identifying the main characteristics in the previous studies, such as the technology adopted, the region or country studied, and the methods and financial criteria adopted in the studies, can serve as guidelines for researchers, investors, and other stakeholders interested in this type of technology. This reinforces the","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115635373","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":"Improving the management and allocation of maintenance and cleaning of a university campus infrastructure using a discrete event simulation model","authors":"Cesar Corrales, Jonatán Rojas, Wilmer Atoche","doi":"10.14488/ijcieom2023_full_0044_37766","DOIUrl":"https://doi.org/10.14488/ijcieom2023_full_0044_37766","url":null,"abstract":". Due to the pandemic caused by COVID-19, university education was adapted to virtual teaching, which has allowed teachers to teach and interact in their classes and carry out their academic activities from their homes, so the university campuses of the universities of Peru were abandoned, with minimal maintenance tasks, especially in gardens. With the gradual return to face-to-face activities, it is necessary to","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126979255","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":"Measurement of performance in SMEs: Bibliometric analysis (2015 ? 2021)","authors":"Juan José Analuisa, Solange Sanguil, Ximena Rojas-Lema, K. Hatakeyama","doi":"10.14488/ijcieom2023_full_0031_37743","DOIUrl":"https://doi.org/10.14488/ijcieom2023_full_0031_37743","url":null,"abstract":". Performance measurement (PM) in small and medium-sized enterprises (SMEs) is increasingly a space of crucial scientific contribution, not only because of the evidence of practical actions aligned to strategic planning but also due to the need to formalize and structure methodologies for the implementation of performance measurement systems in specific contexts. Assessing global research activity based on a bibliometric analysis helps position researchers regarding PM development in SMEs. 335 records extracted from the SCOPUS database were processed in VOSviewer (graphic visualization tool used). The primary analyses were the co-occurrence of keywords, publications, annual citations, countries, and most representative authors. Those analyses led to the recognition of foremost exponents, and critical themes around the proposed article, such as performance, sustainability, and innovation, have registered an increase in related research since 2019 and mainly in the region from Asia.","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124448099","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":"5g Technology And The Economic Impact On Industry 4.0 (A Microeconomic Analysis)","authors":"Francisco Jose Curvello DE Andrade, Marcio Alves Suzano, Luis Claudio Bernardo Moura","doi":"10.14488/ijcieom2023_full_0035_37691","DOIUrl":"https://doi.org/10.14488/ijcieom2023_full_0035_37691","url":null,"abstract":"The theme of this article addresses the 5G telecommunication system available for use in society, in the industrial area and in technological advances in the production process. The connectivity provided by Fifth Generation telecommunications technology solves bottlenecks generated by industry communication services and all business sectors. This work aims to provoke a discussion about the main technical points of application of 5G Mobile technology and the Microeconomic concept in the technological advance aimed at industry 4.0. 5G will be a critical part of an enterprise's new operating environment and technology stack in the future, but to realize the potential productivity and efficiency gains that this technology can deliver, leaders need to start taking a strategic approach to implementation now, as that 5G technology is already a reality and is being tested in several nations around the world, as well as in Brazil. We know that our country, due to bureaucracy, high state regulation and low investment in research, has a considerable scientific and technological backwardness in relation to developed countries. The high regulation and bureaucracy of the Brazilian state slows down the process of technological development in our home with an impact on the productive and economic sector. We also show in this article the maturity analysis used in companies and the projection of potential GDP ( Gross Domestic Product) until 2030.","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124453156","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":"Strategic guidelines for sustainable procurement of infrastructure capital projects in the oil and gas industry","authors":"L. Salvatore, A. M. T. Thomé, A. Leiras","doi":"10.14488/ijcieom2023_full_0032_37728","DOIUrl":"https://doi.org/10.14488/ijcieom2023_full_0032_37728","url":null,"abstract":". Sustainable development and carbon dioxide emissions have been debated in the oil and gas sector as a basis for developing plans to reduce the emission of this gas in its operations, influenced by the commitments made in the Paris Agreement by reducing the emission of greenhouse gases (GHG). Investment funds demand organisations act on this subject, urging companies to outline GHG emissions throughout their value chain. This work aims to contribute to including initiatives to decarbonise the construction phase of infrastructure capital projects using the procurement process. Through a systematic literature review (SLR) and a case study applied to a Brazilian oil and gas company, the documentation related to four contract opportunities for the construction of infrastructure and offsite areas was evaluated, applying criteria raised in the literature to identify initiatives that lead to the decarbonisation during the construction phase. The study comprised interviews with experienced professionals and direct observation of the procurement process preparation of two projects. Results showed initiatives as contractual requirements targeting energy efficiency, minimising costs, and maximising productivity associated with using GHG-emitting equipment. We deliver a strategic guide for incorporating environmental sustainability initiatives with a focus on reducing GHG emissions into the processes for procuring construction services and assembling logistics infrastructure and offsite projects.","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133979809","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}