Proceedings IJCIEOM – International Joint Conference on Industrial Engineering and Operations Management



Proceedings IJCIEOM – International Joint Conference on Industrial Engineering and Operations Management
26th IJCIEOM – International Joint Conference on Industrial Engineering and Operations Management


ICIEOM 2020


This conference is aimed to enhance connection between academia and industry and to gather researchers and practitioners specializing in industrial engineering and operations management.

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ICIEOM2020_FULL_0013_37189

A FRAMEWORK FOR PERFORMANCE EVALUATION IN HUMANITARIAN OPERATIONS BASED ON THE BENEFICIARY PERSPECTIVE

ÁREA: ICIEOM2020 / 13. Disaster Management
AUTORES: BRENDA DE FARIAS OLIVEIRA CARDOSO;THARCISIO COTTA FONTAINHA;ADRIANA LEIRAS

10.14488/ijcieom2020_full_0013_37189

performance evaluation; humanitarian operations; beneficiary; slr.

Performance evaluation in humanitarian operations is a vital issue as it contributes for better results and faster service. One of the evaluation perspectives is related to how humanitarian operations can be effective and efficient in helping beneficiaries. In this sense, this paper proposes a framework for evaluating the performance of humanitarian operations based on the beneficiaries' perception. The research applies a systematic literature review, which identifies twenty-five papers and six frameworks considered as a basis for the development of the proposed framework. Our framework is composed of five steps (i.e., organizational objectives, process selection, category selection, data collect, and principles and results of the evaluation) and correspondent detailed items to support its application by professionals in real-life scenarios.

ICIEOM2020_FULL_0012_37191

A MODEL FOR PRICING THE LICENSE OF BRAND-NAME DRUGS USING COOPERATIVE GAME THEORY

ÁREA: ICIEOM2020 / 12. Heathcare Operations Management
AUTORES: AMIRHOSSEIN MOSTOFI;VIPUL JAIN;YI MEI

10.14488/ijcieom2020_full_0012_37191

brand-name drugs, license valuation, cooperative game theory, nash bargaining solution.

This study examines the license valuation process of brand-name drugs using cooperative game theory. Brand-name drugs are non-generic and patented products which are produced by a domestic company licensed by the main manufacturer. To achieve the study aims, first, the pricing process of drugs in the local market is briefly described, and then, the benefits of cooperation between the foreign company and domestic company and local government are explained to show how these benefits can be presented as a licensing contract in the valuation process. Also, the advantages of licensing are described by implementing the proposed model on a sample problem. Furthermore, the factors that risk this valuation are presented by analyzing the sensitivity of the parameters of the problem. The Nash bargaining solution is also borrowed in this paper so as to consider the bargaining power of the alliance members. Our results showed that the assumption of equal negotiation power distorts the results from the common royalty rate, but when more bargaining power is considered for the government, as the legislator, the results of the proposed mechanism more resemble the conventional approaches

ICIEOM2020_FULL_0011_37323

A MODELLING TOOL FOR TEACHING AND LEARNING SIMULATION

ÁREA: ICIEOM2020 / 11. Production Engineering Education
AUTORES: ANTONIO A C VIEIRA;GUILHERME PEREIRA;LUIS DIAS;JOSE OLIVEIRA

10.14488/ijcieom2020_full_0011_37323

teaching/learning strategies, activity world view, discrete-event simulation, activity cycle diagrams (acd).

Teaching strategies at universities, regarding discrete event simulation, tend to solely focus on commercial tools, resulting on too much focus being ap-plied on syntax and semantics of a particular tool, rather than on simulation basic concepts. In this context, a tool is proposed, which allows the user to model a real system using ACD (Activity Cycle Diagrams) diagrams Â? and automatically creating the corresponding simulation program. The effort needed to develop ACD requires a complete understanding of the real system behavior, and simultaneously favors a good structure of that knowledge and a full comprehension of the simulation foundations. The aim of this paper is therefore to explore ways of focusing on learning simulation basics through a great effort on modeling issues.

ICIEOM2020_FULL_0002_37466

A SIMPLE PURCHASE DECISION-MAKING TOOL ? DEVELOPMENT AND USE

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: MILENA MANSUR;CARLOS MALIGO

10.14488/ijcieom2020_full_0002_37466

purchase, logistics, simulation, education zone of influence

This work presents a digital tool that can help any distributor facing purchase decisions involving three possible suppliers of the same good. Upon purchasing, the product is going to be transported to storage terminals and shipped afterwards to the retail network. The tool offers a map-table output whose construction and features give it important characteristics: interactivity, speed of response, and a colorful simulator-like look. Considering the ongoing changes in Brazilian downstream fuel market, this was the scenario chosen to present an example of the creation and use of such a tool to demonstrate its use and potential application. The resulting tool showed high potential of application to real-life situations as well as adequate characteristics for education purposes.

ICIEOM2020_ABST_0003_37287

A VARIABLE CHARTING STATISTIC FOR MONITORING THE COVARIANCE MATRIX OF BIVARIATE PROCESSES

ÁREA: ICIEOM2020 / 03. Quality Management
AUTORES: MARCELA APARECIDA GUERREIRO MACHADO

10.14488/ijcieom2020_abst_0003_37287

control chart, variable, attribute.

This article proposes a control chart to monitor the covariance matrix of bivariate processes using a mixture of attribute and variable charts, namely MIX-VAR chart. The items are first classified as approved or disapproved, using devices such as a go-no-go gauge. If the number of disapproved items is equal or greater than a control limit, the units of the next sample are measured and their sample variances are calculated. The proposed chart performs better than its competitor attribute chart, but not better than its competitor variable chart. However, it is more economically advantageous than the variable inspection.

ICIEOM2020_FULL_0010_37171

AIRBORNE WIND ENERGY SYSTEMS- CURRENT STATE AND CHALLENGES TO REACH THE MARKET

ÁREA: ICIEOM2020 / 10. Sustainability
AUTORES: ANNY KEY DE SOUZA MENDONÇA;THAIS GUERRA BRAGA;ANTONIO CEZAR BORNIA

10.14488/ijcieom2020_full_0010_37171

airborne wind energy; pumping kite; wired airfoils

In this article, the progress of Airborne Wind Energy (AWEs) systems, technology trends and barriers were studied. The concept of AWE technology, the different configurations of the system, the prototypes developed in the world was discussed, giving focus to the research developed in Brazil. The scientific and industrial community in the last decade has been working to allow AWE technology to reach the market in the coming years. AWE systems use wired aerial devices, which are lighter, less bulky and cheaper and allow access to wind energy available at higher altitudes (600m), inaccessible to current tower-based technology. AWE technology is in the research and development (R&D) and testing phase, but it still needs to mature and, therefore, there are many challenges to overcome to reach the market.

ICIEOM2020_FULL_0007_37476

AN ACTIVITY-BASED COST MODEL AS A DECISION-MAKING TOOL FOR CONTINUOUS IMPROVEMENT PROJECTS

ÁREA: ICIEOM2020 / 07. Knowledge and Information Management
AUTORES: PAULO SÉRGIO LIMA PEREIRA AFONSO;LUDMILA ZAMBONI DE SÁ VASCONCELLOS

10.14488/ijcieom2020_full_0007_37476

kaizen, time-driven activity-based costing, costing systems

Activity-based cost models, although they originally appeared as a solution to allocate indirect production costs to products, have today a much broader application and the potential to provide more complete and accurate information for decision making. In this regard, extended ABC models have been suggested in recent years as a way to assist specific decision making and improve the overall efficiency of production costs, intertwining concepts of technical and managerial optimization with cost optimization. This paper uses the theoretical roots of Time-Driven Activity-Based Costing and contributions from previous mathematical cost models, to assist Kaizen and continuous improvement projects. In order to demonstrate the applicability of the proposed model, an example is explored to demonstrate how the proposed cost model can be used for optimization purposes. The case study is related to changing chemical reactors in a production line. The proposed cost model can be developed suggested as a weighting between continuous improvements and general process / production optimizations in order to refine its performance in ensuring to the changes in production activities the minimum of technical externalities and accurate forecast of production costs in decision-making processes.

ICIEOM2020_FULL_0002_37231

AN ANALYSIS OF PERISHABLE FOOD CHAIN IN THE BRAZILIAN NANOSTORES

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: BIBIANA PORTO DA SILVA;TAÍS OLIVEIRA DA SILVA ALFONSO;RICARDO AUGUSTO CASSEL

10.14488/ijcieom2020_full_0002_37231

retail logistics, nanostores, supply chain management.

In developing markets, income distribution and purchasing patterns are different from developed markets. One feature of developing markets is the presence of small family markets called ?nanostores?. This article analyzes the management of the unprocessed perishable food supply chain from the standpoint of nanostore owners. To achieve the proposed objective, first a literature review about supply chain management and nanostores was performed. Then, using a qualitative approach, a script of interviews was elaborated. Semi-structured interviews were conducted with the owners of four nanostores. After that, the interviews were analyzed by the content analysis methodology. The results of this study point out the importance of developing researches about nanostores in countries such as Brazil, as it is considered a market to be explored, characterized by precarious supply chain management. These results were evidenced by both the literature review and the practices reported in the interviews, although studies are still needed to better characterize the country's scenario.

ICIEOM2020_FULL_0003_37431

ANALYSIS AND FORECAST OF BRAZILIAN?S ISO 9001 CERTIFICATIONS AND ITS RELATIONSHIP WITH ECONOMIC AND SOCIAL INDICATORS

ÁREA: ICIEOM2020 / 03. Quality Management
AUTORES: YASMIN SILVA MARTINS;CARLOS EDUARDO SANCHES DA SILVA;PEDRO PAULO BALESTRASSI;JULIANA HELENA DAROZ GAUDENCIO

10.14488/ijcieom2020_full_0003_37431

quality management system, regression analysis, gross domestic product, human development index

With the growing demand for ISO certifications, the number of studies analyzing the evolution of such certifications over time in the most diverse contexts and countries has also increased. There are several forecasting methods, used as a way to verify the behavior of certain variables in the future, given their history. In this context, this study aims to analyze the number of ISO 9001 certifications from Brazil and their relationship with the variation of the indicators Gross Domestic Product (GDP) and Human Development Index (HDI). The method used was the regression analysis, through which a model was identified and adjusted to 75% of the series data, and its validation through the forecast of the remaining 25%. The model presented adequacy to the data for both variables, characterizing a multiple regression, which quadratic model Y = -268.3 + 0.000006X1 + 782X2 ? 553.1X2*X2 has an adjusted R2 of 94.07%. The model validation analyzed from the forecast indicates that it is good for predicting, even with the existing variation between 2017 and 2019. From the forecasting model and the response optimization analysis, it can be concluded that the number of ISO 9001 certifications in Brazil should be at least 25% higher, given its economic, social and demographic conditions, especially if compared to other Latin American countries.

ICIEOM2020_FULL_0002_37404

ANALYSIS BY PERFORMANCE INDICATORS AND OPERATIONAL PERCEPTION IN THE BRAZILIAN PORT SECTOR DURING THE COVID-19 PANDEMIC

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: TATIANE BILCATI;LUIS GUSTAVO BARON;JÉSSIKA ALVARES COPPI ARRUDA GAYER;ROBSON SELEME

10.14488/ijcieom2020_full_0002_37404

performance indicators; brazilian port sector; sanitary measures against covid; survey in brazilian ports.

The negative effects of the COVID-19 pandemic demanded a series of global actions to contain losses. The dependence of world economies on the international market has established bonds between the various regional economies of the globe. These relationships allow the effects of economic crises to be shared quickly and intensely. The waterway system, through its volume of operation, suffers greater impacts, as it is the main link between economies. This article aims to analyze the impacts of COVID-19 on the Brazilian public port system, based on performance indicators and the empirical perception of those responsible for the strategic management of federal ports. From the literature review and through the application of a survey with employees from Brazilian federal ports, it was possible to see which actions were taken to contain the economic impacts of the pandemic. The data obtained by ANTAQ (National Waterway Transport Agency) show the performance of the port operation through the average time of stay and operation of Brazilian ports from January to June 2020, as well as a comparative analysis with previous years.

ICIEOM2020_FULL_0005_37420

ANALYSIS OF SUPERCAPACITOR BANKS APPLIED FOR SMART CITIES

ÁREA: ICIEOM2020 / 05. Product Development
AUTORES: ELVIS MARTINS NICOLAU;VINÍCIUS VERIDIANO MIRANDA;ÂNGELO ROCHA DE OLIVEIRA;LINDOLPHO OLIVEIRA DE ARAÚJO JUNIOR

10.14488/ijcieom2020_full_0005_37420

supercapacitor banks, energy storage system, energy supply.

Normally batteries are chosen for energy storage systems (ESS) because of their high energy density and low maintenance. However, batteries harm the environment, due to their disposal problem, since they are mostly made up of lithium ions. Thus, new clean alternatives energy storage systems are important. There are other devices for storing energy with some advantages and disadvantages as well. One of them is the supercapacitor. A set of supercapacitors is used to create a bank, and this bank may provide energy for a specific application. To explore this further option is crucial, because it might reduce the use of batteries in some situations, and as consequence, reduce the environmental damage. Even though supercapacitors do not have high energy density as batteries, perhaps in one situation with low consumption, a bank of supercapacitors are suitable. As to create devices for smart cities are necessary sensors and supply energy, maybe a bank of supercapacitors works well, due low consumption of some sensors. To confirm this hypothesis without further expenses, modeling tools are powerful to validated it. This simulation intends to obtain the curve of charging and discharging of two sorts of supercapacitor banks connected to photovoltaic (PV) source. In the final it was possible to comprove that one sort of bank fits well for this certain application for smart cities providing energy around 2,7 hours.

ICIEOM2020_FULL_0001_37232

ANALYSIS OF THE PRODUCTION PLANNING PROCESS USING THE CURRENT REALITY TREE

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: MARINA MORAES REITZ;RICARDO AUGUSTO CASSEL;TAÍS OLIVEIRA DA SILVA ALFONSO;BIBIANA PORTO DA SILVA

10.14488/ijcieom2020_full_0001_37232

production program process, theory of constraints thinking, current reality tree, production scheduling

The production program process and control is often not performed as proposed, so it is necessary to identify the gaps and to act consistently and effectively in the root cause of the problems. This paper seeks to implement the Current Reality Tree, one of the tools of the Theory of Constraints Thinking Process, to identify and relate the undesirable effects faced by the studied company and that lead to lack of adherence of the production scheduling, such as stock count errors, lack of visibility of packaging, programming includes parts which tools are under maintenance, among others. The instruments of data collection used in this research were interviews and participant observations. The results show that there are three main undesirable effects that cause the others: inadequate use of indicators, lack of information sharing and lack of a stock control information system, and solutions are proposed to mitigate the existence of these problems.

ICIEOM2020_FULL_0012_37432

ANTECEDENTS OF CUSTOMER SATISFACTION ? A STUDY IN HEALTH SERVICES

ÁREA: ICIEOM2020 / 12. Heathcare Operations Management
AUTORES: AGENOR SOUSA SANTOS NETO;JÚLIO CESAR VALANDRO SOARES;VINÍCIUS DE FARIA PAULA;NAIARA FAIAD SEBBA CALIFE

10.14488/ijcieom2020_full_0012_37432

health services, discriminant function analysis, customer satisfaction

Keeping customers satisfied is a big challenge for companies, both in the public and private sectors. The health sector have great importance in this regard, as customers seek an effective service to solve their personal problems. In this sense, a study was carried out to correlate customer satisfaction according to tangibility, reliability, responsivity, safety and empathy quality attributes. A number of 306 customers were interviewed from different Basic Health Units (BHU) in Aparecida de Goiânia city, Goiás state of Brazil, from January to March of 2019. The quantitative data was treated statistically using discriminant function analysis and the software Statistical Package for Social Sciences (SPSS®) to find correlations between customers? satisfaction and their perceptions referent to quality attributes. Of the 21 independent variables considered in the initial model, five of them were admitted by the stepwise estimation as significant for explaining the health service quality perception model from different Basic Health Units (BHU) in Aparecida de Goiânia city, Goiás state of Brazil. The application of the discriminant function analysis allowed the correct classification of 45.9% of the development sample cases, then it is necessary to perform tests to verify if the generated model can generate good responses as to the perception of the perception of the clients from BHU.

ICIEOM2020_ABST_0003_37304

APPLICATION OF THE DMAIC METHOD IN A PIPE STEEL COMPANY: A CASE STUDY

ÁREA: ICIEOM2020 / 03. Quality Management
AUTORES: ANA PAULA REZANTE DE OLIVEIRA;CATARINA BARBOSA CARETTA

10.14488/ijcieom2020_abst_0003_37304

six sigma, quality, returns.

This work described the application of the Six Sigma quality management tool in a medium pipe steel company with problems of high product return rates. Thus, the DMAIC method was used to identify the problem, as well as to propose an action plan, created from its phases. This project brought, then, the view of managers in the application of this tool, which, generally, is used in large organizations, such as multinationals. As a result of the study, a reduction in the return rate was observed, permeating lower costs and better customer service.

ICIEOM2020_ABST_0003_37242

APPLICATION OF THE FMECA METHOD TO DEFINE PREVENTIVE MAINTENANCE STRATEGIES IN A VACUUM SYSTEM OF A PET EXTRUDER.

ÁREA: ICIEOM2020 / 03. Quality Management
AUTORES: GUILHERME JOSÉ ANTUNES;DOUGLAS FERREIRA VIDAL;JAISON DA SILVA

10.14488/ijcieom2020_abst_0003_37242

preventive maintenance, fmeca method, critical failures and effects.

This work aims to demonstrate the application of the FMECA method in the identification and characterization of failure modes and their effects on an extruder machine used in the manufacture of wires. The equipment's vacuum system was evaluated, and different failure modes were characterized in the piping components, air pump and valve. For each failure mode, its priority risk number (PRN) was determined through the combined analysis of the factors occurrence, severity and failure detection. From the analysis of the PRN, the maintenance strategy of the equipment was developed where actions were proposed to increase the failure detection capacity, reduction of frequency and severity of failures, and consequent reduction of PRN values. The improvements proposals elaborate are of low cost and high feasibility of implementation in a short time, because is not necessary make major changes in the manufacturing processes structure. The FMECA tool showed be great utility to the processes improvement.



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ISSN ICIEOM: 23178000


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