Abstract Paper aims This paper proposes a warehouse design framework for evaluating the most robust combination of layout alternatives, tactical (picking, storage) and operational (routing) control policies, considering simultaneously the service level, costs and resource utilization criteria. Originality We applied an innovative Morphological Analysis to reduce the number of alternatives and evaluate the uncertainties in warehouse design. We also address the effect of congestion and options for configuring the layout of aisles. Research method We apply multicriteria decision analysis and discrete event simulation to evaluate the most robust combination between layout alternatives and operational control policies. We also suggest the use of scenario planning to deal with the high uncertainties involved in the order picking activity. Main findings Our framework captures the warehouse manager’s preference and experience by means of weight elicitation, value functions, scenario planning and an inter-scenario robustness index to provide a robust final solution. Implications for theory and practice For theory, we highlight the combination of methods applied to a strategic, tactical and operational warehouse design problem in an environment with uncertainties. For practice, warehouse managers may use the framework to explore and find out which combination of control policies and layout can meet the company’s objectives. picking, (picking storage routing (routing level criteria aisles activity manager s elicitation functions interscenario inter solution strategic companys company objectives

Abstract Paper aims This study investigates the nanostores' endurance in serving underserved regions in developing countries. The research explores how various competing retail formats influence market choice and demand. We used data from a survey conducted in Sabana Centro, Colombia, in this study. Originality We believe this is the first study examining the nanostores' resilience in serving emerging markets under this novel hybrid technique. Research method We propose a multi-agent-based model mimicking nanostore survival and resilience in a competitive market. Household agents use a discrete choice model to select their preferred retail format for household purchases based on location, price, and service levels. Considering supply breakdowns, we tested the outcoming model under different disruption scenarios. Main findings Results indicated nanostores' great resiliency in competitive markets, specifically in peripheral areas, which are usually neglected by other retail formats. This suggests that this retail format can strategically complement household supply in underserved areas, displaying the importance of supporting these channels and generating tools that improve their performance in the market. Implications for theory and practice Theoretically, we aim to improve the understanding of households' decision-making process when buying food. Practically, a multi-agent-based model simulating end customers and sellers offers insights into future interventions and their impacts on the retail landscape and various supply chain stakeholders. nanostores countries demand Centro Colombia technique multiagentbased multi agent location price levels breakdowns scenarios areas Theoretically households decisionmaking decision making food Practically stakeholders

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 Disasters mark the last century's history, impacting society's security. In Brazil, National Security is defined as the condition that allows preserving territorial integrity and ensure citizens the exercise of constitutional rights and duties. Amid this scenario, this research aims to analyze how operations performed by the Brazilian Armed Forces in national disaster cases contribute to restoring national security. Originality The originality of the research concerns the topic covered - national security based on a military vision - and the combination of methods used for analysis. Research method For developing the research, scoping review, system thinking, and system dynamics methodologies are employed. Main findings Two hypotheses were raised regarding the employment of military forces in humanitarian operations aimed at national security, considering proactive and reactive strategies. The hypotheses were analyzed and discussed through the development of simulation models. Furthermore, based on the readings, a new aspect of national security – besides preserving territorial integrity and ensuring the exercise of constitutional rights and duties - was raised: power projection by the demonstration of capabilities. Implications for theory and practice The research has implications for academia as it presents a taxonomy of research aimed at national humanitarian operations, raises hypotheses aimed at national security, and validates them using simulation models. In practice, our results encourage the implementation of strategies to minimize and manage the impacts of disasters. centurys century s history societys society Brazil scenario analysis review thinking employed models Furthermore readings capabilities disasters

Abstract Paper aims To compare the relevance of Six Sigma metrics with geometric and multivariate capacity indicators to assess the performance of service quality dimensions. Originality A novel method based on Six Sigma metrics with geometric and multivariate capacity indicators is proposed to assess the performance of service quality dimensions. Research method A quantitative evaluative and, on a second level, comparative approach is addressed, for which primary information from 12 periods of a tourism service company was used. Main findings It is shown that multivariate capacity indicators are more demanding, the geometric capacity indicator being the most demanding with a value of 0.7091, followed by the Mean Capacity Indicator with a result of 0.7094, that is, these are more rigorous than the Six Sigma metrics used worldwide. This allows for a more sensitive assessment of variation and therefore a timely response to it. Implications for theory and practice A sensitive method is provided that allows assessing the quality of a service and comparing the relevance of Six Sigma metrics with geometric and multivariate capacity indicators. This is done to make agile improvement decisions according to the variation in the performance of the evaluated dimensions of the service. level addressed 1 07091 0 7091 0.7091 07094 7094 0.7094 worldwide it 0709 709 0.709 070 70 0.70 07 7 0.7 0.

Abstract Paper aims The paper proposes to consolidate the fragmented discussions on radical innovation project portfolios, seeking to establish a conceptual landscape of radical innovation portfolio management and develop a theoretical-conceptual framework for understanding radical innovation portfolio management literature. Originality This research contributes to the literature by categorizing aspects of radical innovation portfolio management, providing a structured view of the field and a conceptual guideline for both researchers and practitioners. Research methods The study uses a systematic literature review with bibliometric and content analysis to examine the literature on radical innovation portfolio management. Main findings The review identified seven dimensions of radical innovation portfolio management: integration of the ideation process with the innovation portfolio; valuation methods and legitimacy of innovation projects; budget allocation for portfolio balancing; strategic alignment and portfolio sustainability; innovation portfolio performance; influence of mental models on project selection; and partnership and alliance portfolio. These results categorize aspects of radical innovation portfolio management and highlight the current state of research. Implications for theory and practice This work provides a research landscape on radical innovation portfolio management, identifying research gaps for future studies. For practitioners, it offers guidelines to improve decision-making, resource allocation, and innovation performance of radical innovation projects. portfolios theoreticalconceptual theoretical practitioners projects balancing sustainability selection studies decisionmaking, decisionmaking decision making, making decision-making

Abstract Paper aims Developing a conceptual framework for modeling the "Deliver" business process of the Mineral Supply Chain (MiSC) upstream segment, based on a standardized perspective. Originality A novel approach is introduced that adapts the Supply Chain Operation Reference (SCOR) and the Exploration and Mining Enterprise Reference (EM) models to standardize the "Deliver" of the MiSC's upstream segment. It fills the gap in existing MiSC models, which lack a standardized framework and boundaries for their segments. Research method It followed design science research (DSR), specifically a Requirement- and development-focused research approach. A top-down modeling technique was developed to develop the "Deliver" modeling framework at three levels of abstraction, reusing, and adapting standardized models SCOR and EM. Main findings The SCOR can be adapted for "Deliver" in the upstream segment of MiSC. The study establishes the modeling basis for integration with downstream business processes. It also emphasizes the need to support the integration of MiSC with a commercialization framework. Implications for theory and practice The "Deliver" model developed offers a practical tool for MiSC practitioners to integrate upstream and downstream segments. This study encourages further research in the MiSC, especially in the upstream segment, to improve transparency and understanding for stakeholders. Deliver "Deliver (MiSC perspective (SCOR EM (EM MiSCs s segments DSR, DSR , (DSR) Requirement developmentfocused development focused topdown top down abstraction reusing processes stakeholders (DSR

Abstract Paper aims The objective of this work is to develop a comprehensive group decision model to support public managers in choosing the best location for the construction of landfills based on a strategy known as “regionalization” (collaborative construction of landfills). Originality The proposed group decision model innovates when considering the regionalization strategy in a multi-DM environment based on a framework for choosing a voting procedure. Research method The model is divided into three stages: (i) individual assessment of preferences; (ii) choosing a voting procedure; and, (iii) group aggregation and recommendation. First, it uses MCDA/M to elicit DMs' preferences and obtain individual rankings; then, a framework for choosing a voting procedure (VP) to aggregate individual preferences and obtain a collective choice. Main findings The main findings indicate that the proposed model that uses PHOMETHEE-ROC and a VP proposes a recommendation that is of everyone’s interest in the presented multi-DM landfill site selection problem presenting its feasibility and applicability. Implications for theory and practice It encourages public managers to use a formal approach to make a comprehensive analysis of solid waste management practices. Furthermore, the proposition of an integrative framework to support group decision analysis by using MCDA/M and VP. “regionalization collaborative landfills. . landfills) multiDM multi DM stages i (i ii (ii iii (iii First MCDAM MCDA M DMs rankings then (VP choice PHOMETHEEROC PHOMETHEE ROC everyones everyone s applicability practices Furthermore

Abstract Paper aims This study aims to investigate the traceability and its technologies in the agri-food supply chain under the light of the Circular Economy (CE). Originality The originality of this study relies on conducting an integrative research of traceability in the context of agri-food supply chain under the light of CE. Research method A systematic and structured process was adopted to conduct the SLR. The literature search was conducted in the Scopus and Web of Science databases and operationalized using the PRISMA tool. The initial portfolio was analyzed and a content analysis was conducted using Rayyan, leading to the inclusion of 79 articles. A bibliometric and content analysis was performed using a deductive approach. Main findings Traceability is essential at all levels of the supply chain, contributing to the management of food waste and sustainable practices. Various technologies are presented and a framework was developed to illustrate the application of these technologies at different stages of the supply chain and their relationships with the dimensions of ReSOLVE. Implications for theory and practice The paper bridges theory and practice by developing a framework that illustrates how these technologies have been used and their relationships with the dimensions of ReSOLVE. agrifood agri CE . (CE) SLR tool Rayyan 7 articles approach practices ReSOLVE (CE

Abstract Paper aims This novel methodology obtains the optimal economic evaluation of emissions (carbon price) under uncertainty (Fuzzy Decision Making), and hierarchical variation (Analytic Hierarchy Process) within the Argentine production chain (Life Cycle Analysis with Supply and Demand Side Management), obtaining a novel model of market equilibrium. Originality 1) a novel optimal economic (marginal) evaluation index called Generic Camargo Intrinsic Cost, 2) optimal graphical attribute efficiency points, regions and boundaries and their optimal economic evaluation and 3) a Computable General Equilibrium Model with fundamental uncertainty. Research method The theoretical, practical and economic contribution and results (mathematical and graphical analysis) of this novel methodology and tools are developed, generalised and analysed. Main findings All three of the above original contributions have been analysed using the above research method, with excellent and promising results. Implications for theory and practice The optimal economic evaluation (externality) of the Argentinean production chain under uncertainty is obtained. carbon price Fuzzy Making, Making , Making) Analytic Process Life Management, Management Management) equilibrium 1 marginal (marginal Cost 2 points 3 theoretical mathematical analysis developed externality (externality obtained

Abstract Paper aims This study aims to identify the occupational risks to which workers in the agricultural sector are exposed during the development of their activities on rural properties. Originality This study’s originality lies in filling a gap in identifying the main risks to which workers in the agricultural sector are exposed. The study identifies which risks they are exposed to in the literature. Research method A systematic review of the literature over the last five years (2017-2021) revealed 56 articles that identified at least one occupational risk to workers in the agricultural sector. Main findings The bibliometric analysis indicated that the studies are divided into agricultural (33.9%) and animal (66.1%) production. Thus, the content analysis indicated that the most frequent agricultural production risk is the chemical risk due to the high use of pesticides and in animal production is the biological risk due to workers' contact with animals. It should be noted that the leading cause identified in these studies is the lack of personal safety equipment and training. Implications for theory and practice The implications include advancing theoretical and practical knowledge concern decision-making regarding new work safety practices for professionals involved in the agricultural sector. properties studys s 20172021 2017 2021 (2017-2021 5 33.9% 339 33 9 (33.9% 66.1% 661 66 1 (66.1% Thus animals training decisionmaking decision making 2017202 201 202 (2017-202 33.9 3 (33.9 66.1 6 (66.1 201720 20 (2017-20 33. (33. 66. (66. 20172 2 (2017-2 (33 (66 (2017- (3 (6 (2017 ( (201 (20 (2

Abstract Paper aims The aim of this study is to develop a bayesian network model for selecting maintenance strategies. Originality This model evaluates the consequences and complexity of breakdowns, but also integrates the intelligent predictive maintenance policy, taking into account aspects such as available technology, diagnostic tools, staff training and the use of artificial intelligence, which can be applied at all levels. Research method A literature review was conducted to map the criteria used in the selection of maintenance strategies. The KANO model was then employed to select the criteria for the model, and a system of rules was established for the selection of maintenance strategies. The Monte Carlo method was used for the simulation of possible combinations in consideration of the rule system. Using this data, the bayesian network was learned, trained, and validated. Main findings The results show that the proposed model is highly reliable, with an accuracy of approximately 98%. Implications for theory and practice This study makes significant contributions to the field of maintenance by introducing a novel bayesian network model enriched with the Kano model. This comprehensive framework offers a practical approach for optimizing maintenance decisions by integrating both technical and perceptual aspects of maintenance. strategies breakdowns policy technology tools intelligence levels data learned trained validated reliable 98 98% 9

Abstract Paper aims Due to the scarcity of research that approaches the Lean Office in conjunction with Industry 4.0 Technologies, this article aims to discuss, understand and analyze the associations between these two concepts, as well as identify gaps to be explored. Originality This research contributes with guidelines for applying Industry 4.0 Technologies in administrative areas and possibilities of an association with the Lean for the development of the Smart Office. Research method Based on a systematic review of the literature, with a basic purpose, a descriptive objective, and qualitative data, a framework for developing the Smart Office is presented. Main findings An association model between Lean Office tools and Industry 4.0 Technologies is provided. It even classifies and addresses the impact and trends in administrative environments so that managers can develop the Smart Office. Implications for theory and practice Industry 4.0 technologies have been widely discussed in companies that seek to improve processes, mainly industries; however, there are still few applications in administrative environments. The applicability and association of new technologies for Smart Office can explore future studies and contribute to the growth of these areas in addition to the creation of new articles relating to technologies in this environments. 40 4 0 4. discuss concepts explored literature purpose objective data presented provided processes industries however