Abstract Paper aims This research establishes a method to evaluate a concurrent production system in parallel, through new operating curves of six sigma metrics. Originality Se proposes a novel method that provides criteria to monitor the performance of a production system in changing production conditions. Research method This research was approached from a logical positivist epistemological model, through a heuristic analysis and with a rational propositional approach to establish the characterization of the model, the evaluation metrics and propose the new operation curves. Main findings The results obtained show that as the sigma level increases in the global system (4.17), the level of defects per million opportunities decreases considerably and the performance increases at levels close to the main objective of Six Sigma, all this with a decrease of defects from 20.657 to 1.317, generating a high quality of 99.99% and achieving a good performance according to the established quality criteria. Implications for theory and practice This research provides a new tool where they articulate concepts of six sigma and operating curves to monitor a productive system, which allows in a practical way to determine the real capabilities in terms of quality performance of a system. parallel conditions model 4.17, 417 4.17 , 4 17 (4.17) Sigma 20657 20 657 20.65 1317 1 317 1.317 9999 99 99.99 41 4.1 (4.17 2065 2 65 20.6 131 31 1.31 999 9 99.9 4. (4.1 206 6 20. 13 3 1.3 99. (4. 1. (4 (

Abstract Paper aims This study aims to identify the advances in the literature related to Sustainable Life Cycle Assessment in the agricultural and food process sectors. Originality This study pioneers an investigation into trends in applying Life Cycle Sustainability Assessment techniques within the agricultural and food processing sectors, with a comprehensive consideration of environmental, economic, and social perspectives. Research method A systematic literature review and a bibliometric analysis revealed 71 articles that applied at least one of the life cycle assessment tools. Main findings The bibliometric analysis indicated that the studied areas have two main areas that separate studies in the food process sector and the agricultural sector areas. The content analysis indicated that most studies apply the environmental assessment of the life cycle, coupling some studies with the economic and social view and mainly using an attributional approach with the scope ranging from the cradle to the grave regarding the area. Implications for theory and practice As for theory, this study includes advancing knowledge and filling a research gap, while the practical relates to more sustainable decision-making by professionals involved in the agricultural and food processing sectors. sectors perspectives 7 tools area gap decisionmaking decision making

Abstract Paper aims To analyze the consumers intention to buy in commerce and services in the neighborhood, using the Theory of Planned Behavior (TPB) as a theoretical basis, analyzing the Attitude, the Subjective Norm, the Perceived Behavioral Control, and expanding the TPB through the influence on the Attitude of the Moral Attitude, Empathic Concern and the Impact of Covid-19. Originality There are no studies on consumer buying behavior in commerce and neighborhood services in emerging countries, nor with this combination in the conceptual structure - TBP, Empathic Concern, Moral Attitude and the Impact of Covid-19. Research method Data were collected from respondents, and analysis was performed using Partial Least Squares - Structural Equation Modeling (PLS-SEM). Main findings The results indicate that the consumer's attitude towards buying in the neighborhood's commerce and services was positively and significantly influenced by the Moral Attitude and Impact of Covid-19 but not by Empathic Concern. Attitude, Subjective Norm, and Perceived Behavioral Control positively and significantly influence the intention to buy in neighborhood commerce and services. Implications for theory and practice As a theoretical implication, the conceptual model extends the TBP, adding the dimensions of Empathic Concern, Moral Attitude, and the Impact of Covid-19 on Attitude. In practice, the study can help store managers, retailers, and marketing professionals in the sector incorporate specific actions to reach potential consumers and improve their results. (TPB basis Norm Covid19. Covid19 Covid 19. 19 countries TBP respondents PLSSEM. PLSSEM PLS SEM . (PLS-SEM) s neighborhoods Covid-1 implication managers retailers Covid1 1 (PLS-SEM Covid-

Abstract Paper aims The Solid Waste Collection (SWC) process is fundamental to maintaining the healthiness of cities and protecting the environment. There is a lack of methodologies for integrating process quality control techniques to evaluate SWC performance. This article develops a methodological implementation with a simulation-based optimization technique to model SWC process. Originality Development of new simulation-based optimization techniques and tools that improve and complement the traditional analysis of variables in SWC Process. Research method Feasible solutions are obtained through an optimization stage and then solutions are used as inputs for the simulation stage. Main findings There is a high correlation between the total tons collected and the total time. It is possible to optimize the collection routes by integrating process quality control techniques to reduce the total travel time, which will reduce the operating costs and the environmental impact. Simulation results demonstrate a reduction in error of over 90% for each day, with an optimization of 55% in total times. Implications for theory and practice The methodology enables the collection of data and results that accurately reflect the behavior and performance of the SWC process. By studying the process variability and uncertainty, enhancing the reliability and robustness of the results. (SWC environment simulationbased based Process time impact 90 day 55 times uncertainty 9 5

Abstract Paper aims The purpose of this paper is to applied systematically Lean Healthcare to improve mobility accessibility in the medical clinic ward of a medium-sized hospital. Originality The study focuses on the wheelchair’s availability, as well as their provisions in the hospital, since this approach was not identified in the literature. In addition, this study is part of a branch of a project, based on the non-identification of applications in the medical clinic ward of hospitals, in order to formalize a systematic application of Lean Healthcare in the wing worked. Research method The study's methodology was divided into two phases, Survey and Lean Proposal, following a systematic approach established in prior papers, with a focus on addressing various hospital waste scenarios that affect patient mobility. The Survey phase aimed to identify the root cause of waste related to wheelchair use within the hospital, while the Lean Proposal phase sought to mitigate this waste using Lean tools, ultimately improving patient mobility in the medical clinic by reducing non-added value. Main findings The implementation of systematically Lean Healthcare led to a 72.2% reduction in the total activity time, dropping from 20 to 7 minutes, primarily by cutting non-value-added time from 18 to 5 minutes. This change increased the value-added time by 19%. Additionally, the unnecessary movement to retrieve wheelchairs decreased by 83%, with occurrences reducing by 100%. Furthermore, Lean Healthcare improved mobility and demonstrates how this effective approach not only enhanced the quality of medical services but also created a more favorable work environment and inspired a culture of continuous improvement within the hospital. Implications for theory and practice For the theory, this research highlights a hospital wing previously unexamined within the context of Lean Healthcare, thereby reinforcing a culture of systematic application and continuous improvement within the hospital. Furthermore, it delves into the hospital's accessibility, specifically focusing on mobility accessibility, addressing a gap in the literature. In practice, the research has significant implications, as it effectively reduces non-added value elements within an actual process in a medium-sized hospital, ultimately enhancing the quality of clinical healthcare delivery in the Brazilian public healthcare system. mediumsized medium sized s availability literature addition project nonidentification non identification hospitals worked studys phases papers tools nonadded added 722 72 2 72.2 minutes nonvalueadded 1 valueadded 19 19% Additionally 83 83% 100 100% Furthermore implications system 72. 8 10

Abstract Paper aims to propose the development of a Sales and Operations Planning (S&OP) diagnostic tool to assess the degree of implementation in the textile sector. Originality the delivery of a set of issues, with levels of maturity and visual management, allows for benchmarking and the identification of strengths and weaknesses, not only internally but also externally. Also, the comparison with other companies and the diagnosis of the integration of the internal sectors of a company around a shared vision of demand and delivery of goods to reduce the gaps between industrial and commercial areas. The tool developed compiles a set of questions to implement S&OP, such as integration between areas, the use of software, leftover raw materials, and finished products, the degree of assertiveness of consumer demand, and other criteria. Thus, it is possible to compare each company and make improvements. Research method the diagnostic tool was developed from proposals for other sectors, and a survey was later carried out with 16 textile companies to validate the developed tool. Eleven questions were developed with five levels of answers – from the basic to the advanced level. Main findings We created a ranking of the level of S&OP implementation in companies, contributing to the advancement of the maturity of the entire sector. The implementation in companies resulted in improved communication, reduced barriers between areas, and increased engagement of teams in the sales process and delivery of goods – factors that contribute to the success of key performance indicators (KPIs). Implications for theory and practice the initial gamble level of the production of goods following the forecast of demand in the textile companies in Brazil is, on average, 30%, which is worrying since this indicates low assertiveness. Thus, this study contributes to the evolution of the theme by structuring a diagnostic tool for managers with a deployment of more assertive strategies and communication. The analysis of theoretical work in various sectors allowed a comparison with practical results obtained in the textile sector. Furthermore, the tool serves as a guide to achieve the results demonstrated in the literature, such as increased profits and delivery accuracy, improved planning, and integration between areas, which directly lead to a more pleasant work environment. SOP S OP (S&OP sector issues management weaknesses externally Also areas software materials products criteria Thus improvements 1 communication KPIs. KPIs . (KPIs) average 30 30% Furthermore literature accuracy planning environment (KPIs 3

Abstract Paper aims This paper aims to discuss Industry 4.0 (I4.0) impacts on the Brazilian Modular Consortium (BMC) assembly lines related to work - issues correlated with human resources; production - physical resources used in production process; knowledge - associated with creation and sharing of knowledge. Originality Findings explore I4.0 research opportunities related to work and human factors on assembly lines. In lieu of gaps in literature, this research further discusses management challenges to support digital transformation and impacts on workers and organizations. Research method A case study on Engine Value Chain (EVC) of BMC, which includes MWM, engine manufacturer; Powertrain, engine assembler at BMC; Volkswagen Truck & Bus, BMC responsible. Semi-structured interviews were conducted with four senior managers responsible for I4.0 implementation. Responses were treated via content analysis. Main findings The interviewees highlight work and human factors as important for I4.0 implementation, which include workers tasks, skills, nature of work, human resource development, hiring process and organizations strategies. It was also found that knowledge sharing poses a huge challenge. Implications for theory and practice The findings contribute with academic interest on work, production and knowledge impacts on assembly lines, and with practitioners on issues related to I4.0 implementation. 40 4 0 4. I40 I I4 (I4.0 (BMC I4. literature EVC (EVC MWM manufacturer Powertrain Bus Semistructured Semi structured implementation analysis tasks skills development strategies challenge (I4. (I4 (I

Abstract Paper aims This paper proposes a roadmap framework based on a literature review to choose the most proper indicators and targets for a given logistics process derived from the organization's strategic goals. Originality One of the many benefits from the introduction of technologies and the digitization of logistics processes is the acquisition of a great amount of data, which is a valuable asset for an efficient management. In order to transform this data into useful information, most companies rely on performance indicators. In this sense, this paper proposes a roadmap framework based on previous works to guide managers on how to choose a set of indicators that are linked to the company’s targets. To the best of our knowledge, no previous research has proposed a framework dealing with target definitions based on historical data and previous standards or benchmarking, as well as the logistics indicators choice based on the representation theory. Research method In order to elaborate the framework, a two-step structured literature review was carried out, combined with a case application. The literature review included steps based on the works of Govindan & Bouzon (2018) and Moher et al. (2009). The Scopus and the Web of Science databases were selected to gather material to base this study. The framework was applied in a Brazilian construction enterprise, located in Joinville city, Southern Brazil. Main findings The framework application showed that the methodology can facilitate the selection of indicators linked with the company’s strategic goals. Additionally, the indicators legitimation process with managers, a step from the framework, showed that managers' knowledge about the company’s processes is essential for a successful logistics performance system implementation. However, the managers can be resistant to changes for new indicators, and this situation should be avoided during the legitimation process. Future studies may expand the methodology application to other areas than logistics, and future applications of the framework in a Logistics 4.0 environment should provide more insights for the model. Implications for theory and practice From a theoretical perspective, a complete table of logistics performance indicators is provided, as well as the framework for indicators and target definition. From a practical panorama, the framework application shows that practitioners can use this study as a guide to develop more effective logistics performance measurement systems. Moreover, concluding remarks on the relationship between digital transformation and performance measurement systems are provided. organizations organization s goals management information sense companys company benchmarking twostep two out 2018 (2018 al 2009. 2009 . (2009) enterprise city Brazil Additionally implementation However 40 4 0 4. model perspective provided definition panorama Moreover 201 (201 200 (2009 20 (20 (200 2 (2 (

Abstract Paper aims This study identified the main aspects related to deservitization in manufacturing firms, a process involving the dilution of services after their integration into companies’ business models. Originality The deservitization process has been identified as a movement among manufacturing companies, but so far, there is limited understanding of its characteristics. The paper contributes to the existing literature by identifying the main aspects related to the dilution of once-added services by manufacturing firms. Research method A literature review was conducted. A content analysis of the selected papers (89 publications) was carried out to identify the main challenges discussed in the servitization literature as issues leading to deservitization. Main findings The explanations for manufacturing firms failing in the transition to servitization and consequently taking the deservitization path discussed in the literature are related to changes in the organizational structure, new capabilities, modification of the business model and strategy, and difficulties in the interaction between supplier and customer. Implications for theory and practice Deservitization is a complex phenomenon, and little is known about it, especially when compared to the existing body of knowledge on servitization. The paper thus extends the knowledge on the conditions leading to deservitization in manufacturing firms. companies models far characteristics onceadded once added conducted 89 (8 publications structure capabilities strategy customer phenomenon it 8 (

Abstract Paper aims This study demonstrates the complexity of the patient flow from admission to discharge of an adult Intensive Care Unit (ICU) through the application of the Functional Resonance Analysis Method (FRAM). Originality This paper shows the daily functioning of the patient flow, shedding light on the high levels of interdependence and variabilities in Complex Sociotechnical Systems. Research method The research was developed according to the four steps for FRAM analysis. Sources of evidence involved empirical data collection in a leading teaching public hospital in Brazil. Main findings There were identified 34 functions performed mainly by caregivers and support staff. Five instantiations were described to illustrate the functional resonance scenarios caused by the variability propagation across the functions. Implications for theory and practice Limitations of this study and suggestions for future research are pointed out. The resulting model is a basis for context understanding for ongoing and following studies. ICU (ICU FRAM. . (FRAM) Systems analysis Brazil 3 staff out studies (FRAM

Abstract Paper aims This paper presents the literature findings of the Covid-19 vaccines supply chain, its main challenges and best practices, which are compared and verified empirically. Originality The questionnaire developed in this study provides new empirical data about the Covid-19 vaccines supply chain, especially regarding the impacts of the Covid-19 pandemic in the chain, as these events are still recent. Research method A questionnaire was sent by e-mail to specialists working with the Covid-19 vaccine supply chain in South America. Each response was compared to the literature findings. Main findings Despite the challenges faced by vaccination programs, some countries have achieved good results due to strategies adopted at the beginning of their immunization campaigns. The empirical research confirmed that literature findings match business reality, although some empirical results vary depending on the scenario of the country regarding the impacts of the pandemic. Implications for theory and practice This paper summarizes the Covid-19 vaccine supply chain and its challenges, best practices of the most successful countries regarding the immunization process, providing a better understanding of the pandemic scenario. Some empirical data corroborate the literature, and some discrepancies allow the formulation of suppositions that may be tested in future studies. Covid19 Covid 19 Covid-1 empirically recent email e mail America programs campaigns reality process studies Covid1 1 Covid-

Abstract Paper aims This paper compares the economic valuation (Intrinsic Cost or IC) of carbon dioxide emissions (carbon price) of the externality taxes (Kyoto Protocol) of the Argentine Production Chain (APC). Originality The experimental IC index and this novel combination allow incorporating objective (incremental) and subjective (acceptance, hierarchy and uncertainty) evaluation of the APC. This method is extended in this paper (to other operators). Research method The ICs are applied to attribute graphs in two scenarios (APC and society), that are obtained from the combination of Fuzzy Decision Making (FMD), Analytic Hierarchy Process (AHP) and PSO with the Algebraic (AP), Generic Hamacher (GHP and PHP) and Einstein (EP) products. Main findings (i) The coherency of the new ICs is demonstrated by mathematical and graphical analysis; (ii) The most demanding operators are the EP and HP. Implications for theory and practice It contributes to establish mechanisms for regulation of the APC. Intrinsic price Kyoto Protocol APC . (APC) incremental (incremental acceptance, acceptance (acceptance uncertainty operators. operators) society, society , society) FMD, FMD (FMD) AHP (AHP AP, AP (AP) GHP PHP (EP products i (i analysis ii (ii HP (FMD (AP

Abstract Paper aims We investigate the drivers and barriers for the traceability digitalisation of the Australian construction supply chain. Originality There is a growing interest in the construction industry for embracing digital technologies. Nevertheless, the digital transition in construction industry is still slow, especially for addressing material traceability. Research method An exploratory-empirical study was conducted in which we performed the following steps: (i) definition of selection criteria; (ii) semi-structured interviews with 26 experts (academics, practitioners and stakeholders); and (iii) content analysis and propositions. Main findings Results allowed the identification of the most critical drivers and barriers for such traceability digitalisation, being consolidated in a conceptual framework that characterises the early and late adopters of digital technologies in the construction supply chain. Implications for theory and practice In theoretical terms, when considering the barriers/challenges, the degree to which the digital traceability's results are visible to the adopters seems to be an important issue, being able to impair the digitalisation of the construction supply chain. From a practical perspective, the more companies advance in the traceability digitalisation, the more aware they will become regarding its drivers/benefits and barriers/challenges. Nevertheless, some highly critical drivers/benefits and barriers/challenges were equally perceived by both early and late adopters. chain Nevertheless slow exploratoryempirical exploratory empirical steps i (i criteria ii (ii semistructured semi structured 2 academics, academics (academics stakeholders stakeholders) iii (iii propositions terms barrierschallenges challenges traceabilitys s issue perspective driversbenefits benefits

Abstract Paper aims To predict monthly corn, soybean, and sugar spot prices in Brazil using hybrid forecasting techniques. Originality This study combines the Singular Spectrum Analysis with different forecasting methods. Research method This paper presents a set of hybrid forecasting approaches combining Singular Spectrum Analysis (SSA) with different univariate time series methods, ranging from complex seasonality methods to machine learning and autoregressive models to predict monthly corn, soybean, and sugar spot prices in Brazil. We carry out a range of out-of-sample forecasting experiments and use a comprehensive set of forecast evaluation metrics. We contrast the performance of the proposed approaches with that of a range of benchmark models. Main findings The results show that the proposed hybrid models present better performances, with the hybrid SSA-neural network approach providing the most competitive results in our sample. Implications for theory and practice Forecasting agricultural prices is of paramount importance to assist producers, farmers, and the industry in decision-making processes. corn soybean techniques SSA (SSA outofsample sample metrics performances SSAneural neural producers farmers decisionmaking decision making processes

Abstract Paper aims This paper aims to discuss how Remote Collaboration Tools (RCT) can support and contribute to Action Research (AR) applications in operations management research. Originality Researchers shall capture the complexity of studied phenomena when conducting AR. Although, there is a lack of information regarding the use of RCT in AR. Hence, this paper provides original and comprehensive guidelines for the application of RCT in AR. Research method This paper provides an ex-post analysis of two face-to-face AR cases, based on the steps proposed by Coughlan and Coughlan (2002). Based on the ex-post analysis, it explains ex-ante and how RCT can impact and contribute to AR on operations management. Main findings The paper presents reflections, insights and guidance about the impacts of RCT in AR. RCT allow possibilities for continuity and efficient use of resources in AR. Although, when choosing RCT, special efforts should be put into team building and engagement. Implications for theory and practice The description of how the RCT can be used in the AR cycle can contribute to theory based on empirical results as guidance to increase value considering AR quality criteria. We intend to provide material for the advance of the field of Operations, Production and Management, theoretically and practically. (RCT (AR research Although Hence expost ex post facetoface face cases 2002. 2002 . (2002) exante ante reflections engagement criteria Operations Management practically 200 (2002 20 (200 2 (20 (2 (