Scielo RSS <![CDATA[Production]]> http://www.scielo.br/rss.php?pid=0103-651320200001&lang=en vol. 30 num. lang. en <![CDATA[SciELO Logo]]> http://www.scielo.br/img/en/fbpelogp.gif http://www.scielo.br <![CDATA[Extending the POLCA production control system with centralized job release]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100201&lng=en&nrm=iso&tlng=en Abstract Paper aims POLCA is a production control system that forwards to gateway manufacturing cells jobs that arrive to a manufacturing system. However, Workload Control literature shows benefits from using a centralized release pre-shop pool. Thus, the paper aims at investigating the performance impact of incorporating centralized job release into POLCA, in high-variety make-to-order production. Originality This has not been investigated before. Research method Simulation was used for experimentation. Main findings In the case of the general flow shop, a manufacturing system configuration aligned with many real-world production systems, the investigation shows that adding centralized job release to the POLCA system, together with job release based on job workload, leads to a markedly improvement of job delivery performance. Implications for theory and practice The results show theoretical and practical relevance of applying central job release to POLCA system, in high-variety production, due to its markedly positive impact on delivery performance. <![CDATA[Simulation-based analysis of lean practices implementation on the supply chain of a public hospital]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100202&lng=en&nrm=iso&tlng=en Abstract Paper aims This article aims to evaluate the impact of Lean Production (LP) practices implementation on the supply chain of a public hospital. Originality Most implementations fall short of their goals because they are done in a fragmented way and not from a system-wide perspective. Our approach allows to anticipate errors of misguided LP implementations in healthcare organizations. Research method The implementation of a set of LP practices in the hospital`s supply chain was assessed by computational simulation modelling, focusing on one of the most financially important product families. Main findings Since the simulation model considers the variability of suppliers and customers as inputs, it allows the verification of the proposed inventory policies effectiveness, in order to avoid affecting the service level. Implications for theory and practice The proposition of a method that integrates value stream mapping into computational simulation modelling brings a differentiated approach to analyze lean implementation in a healthcare supply chain. The simulation model supports a more assertive decision-making process on lean implementation, allowing the organization to ensure that the quality and efficiency of healthcare is not affected. <![CDATA[The key aspects of procurement in project management: investigating the effects of selection criteria, supplier integration and dynamics of acquisitions]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100401&lng=en&nrm=iso&tlng=en Abstract Paper aims This study aims to identify the key aspects of procurement in the Project Management context and their relation to project success. Particularly, the effects of selection criteria, supplier integration and the dynamics of acquisitions are investigated. Originality This study contributes to the literature by analysing in depth a large sample of articles that deal with procurement in the Project Management context. This study also presents implications for practice by exploring how procurement management affects project success. Research method The methodological approach is a systematic literature review, combining bibliometrics and content analysis. Main findings The results show that academic literature focuses on the dynamics of acquisitions, lacking studies on the spectrum of supplier integration and supplier selection criteria. A strong relationship between the dynamics of acquisitions and project success dimensions could be established. Several insights into this relationship can be pointed out, as the effect of synergy with suppliers on the success dimension related to impact on the team. Implications for theory and practice The study contributes by identifying the relationship between the selection criteria, levels of supplier integration and dynamics of acquisitions with project success. Possible research gaps and trends are presented for future research. <![CDATA[Capital budgeting: a systematic review of the literature]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100402&lng=en&nrm=iso&tlng=en Abstract Paper aims The purpose of this article is to identify the research opportunities in capital budgeting. Originality This research contributes to the literature by providing a methodology where researchers can potentially identify gaps from budgeting according to the existing scientific literature and contributes to the engineering management practice by to identifying the difficulties found by engineering managers that interfere in the capital budgeting process. Research method It was used the Knowledge Development Process-Constructivist (Proknow-C) tool that can researchers potentially identify gaps from budgeting according to the existing scientific literature. It then explicitly define the frontiers of knowledge and possible opportunities to follow when investigating the field. Main findings Capital budgeting is not shown as a macro research area for the researchers. Few authors have developed research with the same scopes or few of them still research on the theme. Implications for theory and practice The academy advocates that capital budgeting has a key role in business management and, therefore, managers have to use more sophisticated analysis practices. Organizations should seek professionals with experience in capital projects appraisal and who are familiar with and knowledgeable in the use of adequate practices for decision-making. <![CDATA[An overview of big data analytics application in supply chain management published in 2010-2019]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100403&lng=en&nrm=iso&tlng=en Abstract Paper aims This study reviews the available literature regarding big data analytics applications in supply chain management and provides insight on topics that received a good deal of attention and topics that still require investigation. This review considers the expansion of big data analytics in supply chain management from 2010 to 2019. Originality Beyond displaying the increasing frequency of using big data analytics in supply chain management, the authors also aim to develop a useful categorization of applying business analytics in supply chain management and define opportunities for future research in the field. Research method This paper briefly discusses big data applications in supply chain management. Four common steps in review papers are performed: collecting articles (Thomson Reuters Web of Science), descriptive analysis, defining categories, and evaluating the material. Main findings According to both information technology development trends and the availability of data, more companies are using big data analytics in their supply chains. About 60% of the research on big data applications in supply chain management were published after 2017. These publications have increasingly focused on big data applications in predictive analysis, rather than in the other three types of data analysis: descriptive analysis, diagnostic analysis, and prescriptive analysis. Implications for theory and practice This review shows that the collected data by many companies can be analyzed using big data analytics methods to develop the business growth plan, market direction forecast, manufacturing process simulation, delivery optimization, inventory management, and marketing and sales processes, among many other activities in a supply chain. The number of articles using case studies in the literature is greater than the number of theoretical publications. This shows that big data analytics has now been properly developed for practical applications, rather than just being a theoretical concept. <![CDATA[Method to assess the atmospheric pollutant emissions generated by railway track maintenance]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100601&lng=en&nrm=iso&tlng=en Abstract Paper aims Propose a method to calculate and evaluate the pollutants emissions generated by the track maintenance process considering the life cycle of the three components: ballast, sleepers and rail. Originality After the literature review, we did not find any published research that quantifies, in an integrated way, the atmospheric pollutants emissions generated by the track maintenance process considering each component life cycle. Research method The proposed method was based on the Life Cycle Assessment (LCA) methodology. The method was applied to Vitória-Minas Railway (EFVM) using its own data and data from its suppliers. Main findings Results show that production and delivery is the phase that emits more because of the distance from the supplier to EFVM. Two maintenance locations were tested to evaluate the impact of maintenance distance in the emissions. Several analyses were done for each pollutant emission in each phase. Implications for theory and practice The method can be used by any railway, helping managers to adopt more sustainable strategies. <![CDATA[Towards a contribution to sustainable management of a dairy supply chain]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100602&lng=en&nrm=iso&tlng=en Abstract Paper aims The paper proposes an enhancement to a focal company in the dairy supply chain, in order to support sustainable performance. Originality The authors conclude that previous life cycle assessment (LCA) studies did not recommend for dairy supply chain or use this approach to assess the environmental impacts in this chain. Research method A cradle-to-gate attributional life cycle assessment (LCA) study performed in a focal company and considering its transport and processing stages, and three scenarios were proposed as suitable. Main findings The impacts derive from energy use and transportation of feedstocks, and the use of cleaning products and certain types of packaging materials. A decrease of 46.5% of the impact in the photochemical oxidant formation category was achieved. Implications for theory and practice The results can identify the different impacts throughout the dairy chain associated with the main product’s life cycle, and the possibility of mitigating them. <![CDATA[Using FITradeoff in a ranking problem for supplier selection under TBL performance evaluation: An application in the textile sector]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100603&lng=en&nrm=iso&tlng=en Abstract Paper aims This paper proposes a multicriteria decision approach for supplier selection using a multicriteria method based on Flexible and Interactive Tradeoff (FITradeoff) elicitation process, within the ranking problematic perspective. Originality This paper develops a framework integrating the results of VFT (Value-Focused Thinking) method with the Triple Bottom Line (TBL) dimension and the veto concept to improve the decision process within a multicriteria perspective. Research method This study provides a case study in a textile company in Campina Grande, northeast Brazil using data mainly from semi-structured interviews. It also employs quantitative techniques based on problem structuring methods and multicriteria decision making. Main findings The VFT helped in identifying criteria that are not yet explored by the company, and in structuring the decision problem of how incorporate and balance the TBL dimensions. The recommendation obtained by using the proposed multicriteria decision framework is different from the group of suppliers currently used by the company. Implications for theory and practice Clarify and identify different objectives and to specify the consequences of a decision problem, allowing the Decision Maker (DM) to obtain and prioritize an economic and sustainable solution for a given number of suppliers to be selected, saving his time and effort. <![CDATA[Sustainability Assessment of logistics activities in a dairy: An example of an emerging economy]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100604&lng=en&nrm=iso&tlng=en Abstract Paper aims The objective of this paper is to evaluate the economic, social, and environmental impacts of logistics activities of a dairy producer located in Brazil. Originality The main contribution is to apply a quantitative approach to assessing sustainable logistics in the milk supply chain, serving as a basis for future work on this theme. Research method A single case study of a regional producer of dairy products in Brazil is carried out in this research. A sustainable logistics evaluation model was used that quantitatively measures the impact of transportation, storage (including inventory management and material handling activities), packaging, and acquisition activities in the economic, environmental, and social dimensions. Main findings It illustrates the challenge that a Small Medium Enterprise (SME) will have to expand its logistics actions, aiming to generate benefit to the consumer because of actions in the economic, environmental, and social dimensions. Implications for theory and practice This research expands the literature, as it brings together topics such as sustainability, logistics, supply chain, and agribusiness. The baseline is in the case study with quantitative data that allows us to answer the question of how to be sustainable now, rather than waiting for supply chains to do it first so we can discover it. <![CDATA[The impact of lean and green practices on logistics performance: a structural equation modelling]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100605&lng=en&nrm=iso&tlng=en Abstract Paper aims This research has two main objectives, firstly to analyze the level of implementation of lean and green practices of a set of companies and secondly to analyze the relationship between lean and green initiatives in an industrial context. Originality The use of Structural Equation Modelling (SEM) allows a better analysis of the interlinkage of lean and green towards sustainable gains. The developed model offers conceptual contribution to the arena of the logistics, sustainability, lean and green. Research methods The methodology used in this study was carried out resorting an inquiry. Firstly, aiming to understand the level of these practices (lean and green) practices in the North of Portugal, a case study was considered. The sample taken is a convenient one, due to time and budget constraints. Secondly, in order to assess the possibility to combine lean ad and green initiatives, a statistical approach was used to develop a SEM for lean and green practices. Main findings The results demonstrated that the level of implementation of lean and green practices on Portuguese companies are not properly addressed and formalized. The statistical analysis also showed that lean environmental practices and green practices are positively associated. The research showed that lean and green has also a positive impact on the logistics processes of companies. Implications for theory and practice This research brings some contributions to both academy and companies. Firstly, a further discussion about the benefits of combining lean and green towards sustainability. Secondly, the development of a structural model for lean and green practices was presented, this model contributes to a better understanding of these practices, which can lead companies to develop strategic initiatives towards sustainability. <![CDATA[Preliminary study for implementation of voluntary delivery points of expanded polystyrene: a case in southern Brazil]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100606&lng=en&nrm=iso&tlng=en Abstract Paper aims The purpose of the study is to present a proposal for implementation of Voluntary Delivery Points (VDP) of expanded polystyrene (EPS) in Florianópolis city, Brazil. Originality Transportation, uncertainty of financial return, and lack of population's awareness are barriers for EPS recycling. This paper seeks to overcome these difficulties to give a better destination for EPS other than landfill. A method is proposed for the implementation of VDP to receive this type of waste. As far as the authors know, no previous research has proposed this analysis for Styrofoam® RL. Research method The research method consists of a survey application with the population and spatial analysis using heat maps of the public equipment on QGIS® software. Main findings It was possible to verify the generation capability of EPS waste in Florianópolis, the lack of population’s awareness about EPS recycling, and suitable points for the implementation of VDP to aid in the RL. Implications for theory and practice This paper seeks to encourage researchers and practitioners to develop solutions for EPS RL. The main contribution of this article is presenting a practical alternative method that aims to overcome one of the main barriers of EPS RL, which is low-density waste transportation, dealing with consumer's responsibility for the waste generated, their awareness on the issue and their active contribution to a proper destination of EPS waste. <![CDATA[Production engineers profiling: competences of the professional the market wants]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100701&lng=en&nrm=iso&tlng=en Abstract Paper aims Identify the differences in the competences of the production engineering alumni and the importance attributed to it by the job market. Originality This is funded on investigating the gap between the competences the academy and the job market attribute to the professional of production engineering. Research method A questionnaire with production engineers was conducted to collect data that was analyzed using descriptive and predictive quantitative methods. Main findings Soft skills have higher importance to the job market but are the less addressed by universities. Professional competence importance is dependent on the sector. The skills with the higher gaps are associated with the constant transformation of industries and the increasing complexity of decision-making. Implications for theory and practice Theory should adopt a strategic orientation to guide the prioritization of competences and practice must adapt selection mechanisms to test for soft skills and customize it to the professional sector. <![CDATA[Building up a national network of applied R&D institutes in an emerging innovation system]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100702&lng=en&nrm=iso&tlng=en Abstract Paper aims This paper aims at answering the research question “How to successfully build up and strategically manage a new network of applied R&amp;D in Brazil?” Originality The paper is based on a unique experience of a strategic partnership, transferring the experiences of managing the largest network of applied research in Europe to the Brazilian National Innovation System (NIS). Research method The research described in this paper follows an action research approach, using a participative process of rapid prototyping, pilot tests and continuous revision and adaptation. Main findings The paper presents a comprehensive and consistent set of management models, procedures and tools for the planning, implementation and evaluation of applied R&amp;D institutes. Implications for theory and practice The paper’s findings contribute to the empirical research on methodologies to manage knowledge-based networks and innovation actors at the interface between research and industry. <![CDATA[IoT and BDA in the Brazilian future logistics 4.0 scenario]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100703&lng=en&nrm=iso&tlng=en Abstract Paper aims This paper aims to identify the degree of interest and expected return time on investment in Internet of Things (IoT) and Big Data Analytics (BDA) technologies by Brazilian logistics companies. Originality A logistics system that meets the requirements imposed by Industry 4.0 is known as Logistics 4.0. According to the current scientific literature, IoT and BDA technologies are the most promising for the Logistics 4.0 applications. Studies on the adoption of these technologies in Brazil are still embryonic and this paper collaborates to narrow this knowledge gap. Research method Exploratory research was conducted using the quantitative approach. Main findings The evidence of the interest in investment in IoT and BDA by Brazilian logistics companies, confirming the current literature. Implications for theory and practice The identification of the intended practical applications for Iot and BDA, as well as the expected difficulties in the implementation of these Technologies. <![CDATA[Decision-making trends in quality management: a literature review about Industry 4.0]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100704&lng=en&nrm=iso&tlng=en Abstract Paper aims Due to the scarcity of research on current scenarios of quality management in the 21st century, this article addresses the concepts of big data and Industry 4.0 for decision-making in quality control. Originality This article contributes to completing categorizations and answering questions that have been previously suggested. Research method This study presents a systematic literature review and qualitative data. The methodological framework shows the process of the selection and review of articles according to their alignment with the objective of the study. Main findings Seventeen articles were selected to structure the study and were classified according the categories presented in the literature. The vast majority of the research gaps pointed out in previous review have been filled since their publication. Implications for theory and practice In addition, this article presents new gaps to be filled and complements the literature and concepts about quality management and Industry 4.0. <![CDATA[Prospects for using gamification in Industry 4.0]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100705&lng=en&nrm=iso&tlng=en Abstract Paper aims This study aims to analyze the main applications of gamification in the industry, identifying its benefits and challenges, and to understand how game techniques are impacting the formation of engineers. Finally, the main perspectives of the use of gamification in the Industry 4.0 are presented. Originality The scientific literature was analyzed to infer practical applications, challenges, benefits and perspectives that can guide the implementation of gamification in Industry 4.0, aiming to help professionals and researchers to take better advantage of this approach and propel this new phase of the industry. Research method A literature review was conducted on the use of gamification in the industry. Main findings In this article, eleven aspects that must be taken into consideration during the application of gamification in the industries were observed. Five perspectives/situations of Gamification use were raised, namely: in the servitization; in learning and training; as a tool to increase intrinsic motivation; introducing new technologies and products; and innovation and flexibility. Implications for theory and practice This study systematically brings together the main approaches to gamification and its applications in the current industry scenario. In addition, this work contributes to the process of designing and implementing gamification in the industry.