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

{"title":"Quality evaluation of the public policy São Paulo State Network of Technological Incubators (RPITEc)","authors":"Gabriela Dias Viana, Paulo Renato Pakes, Vivian Karina Bianchini, C. A. Razzino, M. Borrás","doi":"10.14488/ijcieom2023_abst_0043_37746","DOIUrl":"https://doi.org/10.14488/ijcieom2023_abst_0043_37746","url":null,"abstract":"","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"3 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":"114973825","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":"SKILLS FOR TRANSMITTING CONCEPTS RELATED TO ENTREPRENEURSHIP: MEASUREMENT USING THE ITEM RESPONSE THEORY","authors":"Thayanne Alves Ferreira, Antônio Cézar Bornia","doi":"10.14488/ijcieom2023_full_0051_37820","DOIUrl":"https://doi.org/10.14488/ijcieom2023_full_0051_37820","url":null,"abstract":". This study aimed to develop a scale to develop the ability to transmit concepts related to entrepreneurship. An integrative review was performed that resulted in the conceptual model and item development. To test the validity and internal compatibility of the items, the Graded Response Model of Samejima's Item Response Theory was used. For the interpretation of the scale, six levels were defined: initial, basic, elementary, essential, stage, advanced. The results were validated for an instrument with 30 items, to help teaching institutions in the development of actions to characterize the teacher's profile","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"16 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":"115357695","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":"Analysis of Gender and Programming Experience as Mediators between Attitudes toward Programming and Computational Thinking among Engineering Students","authors":"Isotilia Costa Melo, Carolina Rojas-Córdova, P. N. A. Junior, Ítalo Donoso, Ariel Areyuna","doi":"10.14488/ijcieom2023_abst_0051_37779","DOIUrl":"https://doi.org/10.14488/ijcieom2023_abst_0051_37779","url":null,"abstract":"","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"37 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":"131626258","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 DECOMPOSITION SCHEME IN PRODUCTION PLANNING BASED ON LINEAR PROGRAMMING THAT INCORPORATES THE CONCEPT OF A DYNAMIC PLANNING ENVIRONMENT","authors":"Izamara Cristina Palheta Dias, R. Sampaio, Rafael Rodrigues GUIMARãES Wollamann, Marcelo Carneiro GONçALVES, Elpídio Oscar Benitez Nara","doi":"10.14488/ijcieom2023_full_0031_37690","DOIUrl":"https://doi.org/10.14488/ijcieom2023_full_0031_37690","url":null,"abstract":". The present work proposes a decomposition scheme in production planning based on linear programming, which couples the concept of clearing function and supposes a dynamic environment to plan a production along a planning horizon. Where planning parameters such as demand, production capacity, production resources, and other parameters change over the planning horizon. In general, this requires the planner, freeze the production plan for some blocks of periods or rethink the production plan of each period, with obvious implications on production planning costs. The Plan shall be designed and implemented in the following way: At the beginning of any period of the planning horizon, from the first, a set of decisions on a production is taken based on available information under a supervision of a decision support system represented by the mathematical model that acts according to the latest available information, period to period. This mechanism suggest that the number of planned periods is of the magnitude of n squared, much larger than the number of periods to be performed, because for each execution period, the remainder of the planning horizon is re-planned. The scheme we are proposing in this paper addresses this drawback and provides a lower cost solution to this production planning problem. This proposed scheme is implemented by an algorithm which is analyzed in detail and after, numerically illustrated.","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"26 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":"131789461","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":"Risk Management in the Context of Industry 5.0","authors":"Vitor Hugo Dos Santos Filho, Nádya Zanin Muzulon, Gian Carlos Medeiros Hackbarth, L. M. Resende, J. Pontes","doi":"10.14488/ijcieom2023_full_0039_37693","DOIUrl":"https://doi.org/10.14488/ijcieom2023_full_0039_37693","url":null,"abstract":". Industry 4.0 brought a highly automated and technology-centric environment, now, Industry 5.0 strives to introduce innovation with safety and responsibility beyond industry and thus build a society that contributes to economic growth and social well-being. Thus, this study conducted an analysis of publications on Industry 5.0 from a risk management perspective to investigate trends and analyze metrics related to publications on the topic. The study used the occurrence of a combination of keywords in the Scopus database search. Qualitative analysis of the 64 contents returned from the search was performed using the NVIVO tool and for analysis of other metrics the VOSviewer software was used. The results indicated that: (1) publications have been increasing since 2017; (2) countries such as the United States, Japan, and China dominate the research; (3) the field of Engineering predominates in number of publications; (4) The most found keywords in the publications are Industry 5.0 and Society 5.0. (5) The themes that appear most in discussion in the selected articles are System, Data, Technologies, Risk, Model, Production, Human, and Management. A discussion of these results, including limitations and recommendations for future research, is provided.","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"51 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":"115507066","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":"Circular and Sustainable productive processes: An approach to the practices adopted in the Industrial Pole of Manaus-AM","authors":"Thiago Azevedo Conte DE Melo, Marcelo Albuquerque de Oliveira, M. Pereira, Fabiana David Gomes DE Oliveira, G. Veroneze","doi":"10.14488/ijcieom2023_full_0040_37678","DOIUrl":"https://doi.org/10.14488/ijcieom2023_full_0040_37678","url":null,"abstract":",","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"121 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":"123706788","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":"Application of the Sugeno-Takagi-Kang fuzzy logic for demand forecasting in the supply chain, a Fuzzy temporary series forecast model (FTS) proposal","authors":"Francisco Trejo, R. Escobar","doi":"10.14488/ijcieom2023_abst_0042_37731","DOIUrl":"https://doi.org/10.14488/ijcieom2023_abst_0042_37731","url":null,"abstract":". Forecasting is not an easy task; the time series analysis area has always represented a challenge for those who intend to do it. Resource anticipation and planning have great importance in decision-making, practically in any area of the economy, manufacturing, work, agriculture, tourism, and of course, supply chain sectors. There are many forecasting methods that often require innumerable statistical analyses. However, most of the systems have unreliable information where there is great uncertainty. This is why the application of fuzzy logic in time series foretelling represents a choice to overcome the uncertainty of the supply chain. As a result of this investigation, we found that applying the Sugeno-Takagi-Kang of fuzzy logic method, we have found that this model can obtain better prediction results, especially for data of small sample sizes (>20 records). The paper presents a methodology for incorporating limited or incomplete data into a modified Sugeno-Takagi-Kang model applied in the supply chain area and propose a Fuzzy temporary series forecast model. The model: 1) incorporates the knowledge and experience from the user experts, which allows to enhance the results with qualitative experience than otherwise would be considered, 2) establish the universe of discourse based on the demand behavior and experts’ opinion, 3) defines the fuzzifier module, 4) interphase, 5) the knowledge data base. 6) the output functions ( f n ) and 7) finally the output forecast . Metric for calculating the forecasting error and evaluating its performance was: mean absolute percentage error (MAPE). The results obtained exceed other models and methodologies such as: seasonal or temporary index or even data mining, which requires a very superior amount of information, obtaining barely better or marginally results, for instance the MAPE with the traditional methods was 30.42% vs. a MAPE of 9.95% by using the proposed model. The results show that the prediction ability of the grey prediction with Fuzzy temporary series forecast model is better than traditional approach, especially if we consider the amount of data available.","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"1 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":"123784382","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":"Structural Equation Modeling for improving Plastic Waste Management: the case of a Brazilian metropolis","authors":"L. M. Pereira, F. G. Freires","doi":"10.14488/ijcieom2023_full_0032_37760","DOIUrl":"https://doi.org/10.14488/ijcieom2023_full_0032_37760","url":null,"abstract":"","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"67 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":"125078766","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":"Predicting project sales prices using machine learning techniques: a case study in a project consultancy","authors":"M. Gonçalves, Alexandre Dos Santos Pereira, Thales DE Freitas Ferraz, Elpídio Oscar Benitez Nara, Izamara Cristina Palheta Dias","doi":"10.14488/ijcieom2023_full_0034_37687","DOIUrl":"https://doi.org/10.14488/ijcieom2023_full_0034_37687","url":null,"abstract":". The article aims to apply a comparative analysis of machine learning techniques to predict project sales prices of a consulting company located in Curitiba/PR. The company has projects in the most diverse fields, such as in the strategic, productive, quality and innovation areas. Due to this diversity, company managers find it difficult to calculate the sale value of new projects, since they deal with different types of predictor variables such as: type of consultant, type of project and number of hours. In this sense, there is a need to use a method that predicts from a multivariate analysis and that results in sales values close to those expected by the company. To this end, a literature review was carried out on the research topics, namely: Production Planning and Control (PPC) and machine learning techniques; then, the company's current sales prospecting process was mapped; in addition, data were collected, analyzed and prepared, and then proceeded to the testing stage and selection of the best model; and finally, the improvement proposal was discussed with the organization. As a result, it was obtained that the application of the Gradient Boosting Machine (GBM) technique obtained the lowest error result among the Machine Learning techniques tested. The error was approximately 21%, which can be considered acceptable for the analyzed segment. Thus, this work met the expectations of stakeholders by presenting the possibility of pricing projects using computational algorithms for forecasting demand.","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"33 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":"131386787","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":"Operations strategies in the recruitment process pre-exposure prophylaxis to HIV","authors":"Carlos Jefferson de Melo Santos, Angelo Marcio Oliveira Santanna","doi":"10.14488/ijcieom2023_full_0034_37798","DOIUrl":"https://doi.org/10.14488/ijcieom2023_full_0034_37798","url":null,"abstract":". Making HIV pre-exposure prophylaxis (PrEP) easily accessible to adolescents requires enabling and strategic recruitment and linkage to PrEP services. The PrEP1519 project is a single-arm, demonstration cohort study of daily oral antiretrovirals as PrEP among adolescent men who have sex with men (AMSM) and transgender women (ATGW) aged 15-19 years old in Brazil. The objective was to apply and analyze operational strategies in recruitment methods for prospecting adolescents in the context of social vulnerability. Participants were recruited by trained peer educators who engage with youth at gatherings, venues, events, and schools; through online social media and mobile apps. The data were collected between 2019-2020 in Salvador, Brazil. Based on a literature review, statistical methods were used to apply decision-making and operations management methods to direct recruitment strategies. Gender identity ( p= 0.006) and sexual orientation ( p= 0.007) were significantly relevant to recruitment meth-ods. Even without a large Pearson relationship, the construction of the cross-tab-ulation for the other variables facilitated decision-making to direct recruitment resources. Well-trained youth peer educators effectively recruit aMSH and aTGW for PrEP. However, recruiting needs direction for consistent decision-making to rethink or reinvent strategies or new paths when a strategy reaches its limit.","PeriodicalId":413394,"journal":{"name":"International Joint Conference on Industrial Engineering and Operations Management Proceedings","volume":"47 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":"122454358","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}