ABSTRACT The globally changing market has provided the customers with multiple choices for buying any product. During transportation, the unpredictable circumstances cause deterioration/damage to the goods. Also, there are factors like rising fuel prices and a need to reduce the carbon emissions which pose challenges in transportation of goods for industries. All these factors motivate the authors to propose Bilevel Fractional/Quadratic Green Transportation Problem with uncertain cost and multi-choice supply and demand parameters (BFQGMCTP). The innovation of this paper is that apart from delivering maximum quantity of goods, the intent is to minimize the cost of transportation, the deterioration cost during transit and the cost of carbon emission simultaneously. The present problem is solved using two different techniques and a comparative analysis for the two satisfactory solutions is exhibited. The methodology in this paper has been elaborated through a pragmatic example which is elucidated by a computing software. product deteriorationdamage damage Also industries FractionalQuadratic Fractional Quadratic multichoice multi choice BFQGMCTP. BFQGMCTP . (BFQGMCTP) simultaneously exhibited software (BFQGMCTP

ABSTRACT Uncertainty and disruption can significantly impact supply chains, and risk response is a means to diminish or circumvent these challenges. Therefore, this investigation aims to assess lead time variability in the supply chain of active ingredients. The research proposes a decision-making process to evaluate lead time variability in the active ingredient supply chain of the Brazilian chemical industry. It adopts Game Theory and linear programming in its solution. The two major contributions of this study are as follows: first, it presents a procedure to assess lead time variability; second, it proposes a supply chain risk response framework to address the lead time variability problem. Supply chain and lead time variability are emerging areas that offer significant opportunities for exploration, one of which is to evaluate lead time variability from the multiple perspectives presented in this study, thereby contributing to the current literature through a real application. chains challenges Therefore ingredients decisionmaking decision making industry solution follows first second problem exploration application

ABSTRACT This paper introduces the Group Extended Entropy VIKOR (GE2-VIKOR) MCDM approach for assessing defense technology criticality in developing countries. GE2-VIKOR addresses uncertainty and complexity in this scenario by leveraging VIKOR’s ability to propose compromise solutions in discrete alternatives’ scenarios. GE2-VIKOR can be applied in both individual and group decision-making, incorporating weights based on decision-makers’ knowledge degree and criteria weights determined by the sponsor or Shannon’s entropy theory. The method aims to offer a compromise solution that maximizes group utility while minimizing individual regret under majority, consensus, or veto rules. A detailed demonstration illustrates GE2-VIKOR’s applicability and effectiveness in assessing defense technology criticality in developing countries. The results highlight the method’s strengths and limitations and suggest future research avenues, particularly exploring its applicability in developed countries, where technology criticality concepts differ. GE2VIKOR GEVIKOR GE2 GE (GE2-VIKOR countries VIKORs s alternatives scenarios decisionmaking, decisionmaking decision making, making decision-making decisionmakers makers decision-makers Shannons Shannon theory majority consensus rules GE2VIKORs GEVIKORs methods avenues differ

ABSTRACT This paper deals with the two-dimensional strip packing problem (2D-SPP) with the order/or multi-drop and vertical stability constraints. The existing exact algorithm that solves this problem is not able to provide optimal solutions on large instances in a reasonable amount of time. Hence, with a view to quickly obtain a physically stable packing of minimum height while satisfying the order constraint, the Biased Random-Key Genetic Algorithm (BRKGA) is combined with Bottom-Left-Fill (BLF) and Open Space (OS) heuristics. Both versions of the algorithm (BRKGA+BLF and BRKGA+OS) retrieved optimal solutions on many benchmark instances, consuming lesser computational time than the exact algorithm. A comparative study was also performed between the BRKGA, Simulated Annealing (SA) and Particle Swarm Optimization (PSO) algorithms on newly generated large instances. Moreover, the effectiveness of the BRKGA has also been checked on the classical 2D-SPP and two-dimensional orthogonal packing problem (2D-OPP) datasets. twodimensional two dimensional 2DSPP DSPP 2D SPP D (2D-SPP orderor or multidrop multi drop constraints Hence constraint RandomKey Random Key (BRKGA BottomLeftFill Bottom Left Fill BLF (BLF OS (OS heuristics BRKGA+BLF BRKGABLF BRKGA+OS BRKGAOS SA (SA PSO (PSO Moreover 2DOPP DOPP OPP (2D-OPP datasets

ABSTRACT Aggregate Production Planning (APP) aims at balancing the forecast demand for product families with the available production resources, thus allowing changes to be made in the system and the best action strategy to be found. APP decisions are strategic decisions for the organization, which take an intermediate time horizon which spans 12 months, in general. As different issues may influence business success, this kind of decision problem will take multiple objectives into account, when a strategic view is considered. Conflicts between objectives frequently increase the complexity of APP problems. In order to deal with this kind of problem, this paper proposes a multi-criteria decision model considering the five objectives related to manufacturing strategy, namely: quality, speed, dependability, flexibility, and cost. By applying a multi-objective optimizing model which considers the organization’s strategical objectives, and by using the NSGA-II algorithm, a subset of representative solutions of the Pareto Frontier is obtained, thereby enabling the application of the FITradeoff method. A multi-criteria method, such as the FITradeoff, assists Decision Makers (DMs) in choosing a production plan more suitable to their objectives. The results show that the FITradeoff method contributes to the evaluation of solutions by aiding the DM to consider a significant set of alternatives while at the same time reducing the cognitive effort that he/she needs to make. (APP resources found organization 1 months general success account considered problems multicriteria multi criteria namely quality speed dependability flexibility cost multiobjective objective organizations s NSGAII NSGA II algorithm obtained DMs (DMs heshe he she make

ABSTRACT This research evaluates the quality of life of the ninety-two cities in the state of Rio de Janeiro using a non-compensatory composite aggregator index. It was a multimethodological research, which combines a qualitative conceptual map with a quantitative multicriteria model to assess variables of difficult definition. The criteria are based on Maslow’s concepts, which also define the weights between them, bringing more coherence to the index. We conclude that our measurement model with non-compensatory rationality offers an alternative for calculating the quality of life. The cities of Niteroi, Rio de Janeiro and Volta Redonda scored best in our proposed index. Silva Jardim, Sumidouro and São Francisco de Itabapoana scored worst. Niteroi scored best in Physiological and Esteem needs. Nova Friburgo scored best in Safety needs. Mesquita scored best in Love and belonging needs. A sensitivity analysis shows that our method’s structure makes results distortion difficult. ninetytwo ninety two noncompensatory non compensatory index definition Maslows Maslow s concepts them Jardim worst needs methods method

ABSTRACT Facility location-related decision problems pose a significant challenge for managers due to the multiple and conflicting factors involved. Moreover, incorrect decisions can lead to substantial impacts on companies' long-term strategic planning, resulting in losses for the business. This paper deals with a facility location problem in the educational sector in the northeast region of Brazil, which concerns the definition of the best location to place a private sector technical school, considering multiple objectives throughout a multicriteria approach. The decision-making process is structured based on a 9-step multicriteria model, and the preference elicitation phase is aided by the Flexible and Interactive Tradeoff (FITradeoff) method, using partial information provided by the decision-maker (DM). In the application presented in this paper, preference modeling is conducted considering the combination of two preference elicitation paradigms in the FITradeoff decision process: elicitation by decomposition and holistic evaluations, throughout a flexible approach. The DM’s preferences are elicited interactively, by means of a Decision Support System (DSS). At each interaction, the information given by the DM acts as constraints for a linear programming problem (LPP) model, which is computed in order to verify the potential optimality of each alternative. At the end of the elicitation process, a sensitivity analysis is performed so as to verify the robustness of the results obtained. Insights on the preference modeling paradigms combination with potential advantages for the decision process are also discussed in this paper. locationrelated related involved Moreover companies longterm long term planning business Brazil school approach decisionmaking making 9step step 9 model (FITradeoff method decisionmaker maker DM. . (DM) evaluations DMs s interactively DSS. DSS (DSS) interaction LPP (LPP alternative obtained (DM (DSS

ABSTRACT This study analyzes the operational efficiency of Brazil’s 30 largest airports from 2014 to 2018, using a two-stage model. Operational efficiency is defined as an airport’s capacity to effectively utilize resources, such as facilities, staff, and technology, to cater to air traffic and passenger needs. The first stage involved measuring operational efficiency through data envelopment analysis. The second stage used a three-level hierarchical linear model to identify influencing variables. Key findings reveal that location significantly impacts airport efficiency, which generally declined during the study period. The interest rate, the only notable economic factor, had a negative effect on efficiency. Factors like the number of aircraft parking positions, years of airport operation, and the number of airlines positively influenced efficiency. Conversely, governance structure, airport size, commercial establishment count, and vehicle parking lot numbers didn’t notably affect efficiency variation. This methodological approach provided more accurate predictions than traditional regression models. Brazils Brazil s 3 201 2018 twostage two resources facilities staff technology needs analysis threelevel three level variables period rate factor positions operation Conversely structure size count didnt didn t variation models 20 2

ABSTRACT This paper proposes a multicriteria model for ranking the functioning of the dominant economic sectors of the Mexican economy. The paper presents a real case study dealing with comparing economic sectors. It includes the problem situation, a suitable problem formulation, and a detailed version of the multicriteria evaluation model. The model considers the multiple dimensions involved in the evaluation. Eighty-nine dominant economic sectors of Mexico represent the alternatives to be considered in the evaluation model. The problem statement is a relative economic comparison of such sectors under a multicriteria ranking purpose from the 2019 Economic Census data. The study found that the model could determine the degree of the overall appeal of an economic sector in contrast to others. economy situation formulation Eightynine Eighty nine 201 data others 20 2

ABSTRACT This article presents an analytical evaluation of the behavior of dengue in the city of Fortaleza/CE, throughout all the epidemiological weeks of years 2007 to 2021, considering only the influence of rainfall on the increase of dengue in the municipality. The high correlation between the two events is shown through graphs of the global percentages over time and cross correlation, which imply the emergence of dengue outbreaks from the 13th epidemiological week for two consecutive years (2012 and 2013), taken as an example of investigation. In addition, the study shows that the amounts of rain falling between the 5th and 9th epidemiological weeks indicate the beginning of dengue outbreaks with greater or lesser intensity. We confirm cross correlation using Ljung-Box and Shapiro-Wilk statistical tests between rain and dengue SARIMA curves we found for the period, meaning that the rain explains Dengue human cases up to four weeks before they happen, applying SARIMA models to both events. Finally, we also show, by using instantaneous increase measures along epidemiological accumulated weeks from years 2007-2019, the outbreak identification, to better indicate to health managers its presence. FortalezaCE Fortaleza CE Fortaleza/CE 200 2021 municipality th 2012 (201 2013, 2013 , 2013) investigation addition intensity LjungBox Ljung Box ShapiroWilk Shapiro Wilk period happen Finally show 20072019, 20072019 2019, 2019 2007-2019 identification presence 20 202 201 (20 2007201 2007-201 2 (2 200720 2007-20 ( 20072 2007-2 2007-

ABSTRACT In various Multi-objective Programming (MOP) problems, decision-makers are often faced with a large set of efficient solutions, presenting a challenge in discerning and selecting the best solutions within this broad set. To overcome this, decision-makers can tune and optimize their preference function over this efficient set to identify the optimal solutions that align with their preferences. Most existing methods address such problems in the deterministic case, while we aim to tackle a new challenge by dealing with these problems in a stochastic environment, which increases their complexity. Indeed, we focus in this study on proposing an exact method to optimize two preference functions over the efficient set of a Multi-objective Stochastic Integer Linear Programming (MOSILP) problem in order to find the best compromise solutions without enumerating all elements of this efficient set. The proposed method is based on the combination of two techniques: the first one is called the L-shaped method, while the second one is an adaptation of the branch-and-bound strategy by reinforcing it with efficient cuts and tests, which allows the method to remove a large number of inefficient solutions within the search tree. Moreover, the method exhibits adaptability in addressing the general case involving multiple preference functions. A didactic example is presented for illustration, followed by a computational study evaluating the method’s efficacy and performance by solving randomly generated instances. Multiobjective Multi objective MOP (MOP decisionmakers decision makers preferences environment complexity Indeed MOSILP (MOSILP techniques Lshaped L shaped branchandbound branch bound tests tree Moreover illustration s instances

ABSTRACT Waste sorting is a core element for adding value to the recycling chain. Exploring and prioritizing alternatives regarding its expansion and improvement is very challenging. This study proposes a multi-methodological approach through the integration of a Problem Structuring Method (PSM) and a multicriteria method (MCDA/M) to support decision-making in the solid waste management context. The developed model uses Soft Systems Methodology (SSM) in the problem structuring stage to explore the problematic situation and identify alternatives. Preference modeling was conducted in a flexible and interactive manner, aided by FITradeoff method to rank the identified alternatives and obtain a recommendation. The proposed model was developed for a real case study in Brazil. In the elicitation process, the decision maker answered 9 questions to obtain the ordering of alternatives. This work seeks to enrich the literature proposing the successful application of an innovative model in the waste management context, especially regarding waste sorting. chain challenging multimethodological multi methodological PSM (PSM MCDA/M MCDAM MCDA M (MCDA/M decisionmaking making context SSM (SSM manner recommendation Brazil process

ABSTRACT The temporal bin packing problem with fire-ups (TBPP-FU) is a two-dimensional packing problem where one geometric dimension is replaced by a time horizon. The given items (jobs) are characterized by a resource consumption, that occurs exclusively during an activity interval, and they have to be placed on servers so that the capacity constraint is respected at any time. For energy efficiency reasons, an optimal assignment shall minimize a weighted sum of the number of servers in use and the number of switch-on processes (so-called fire-ups) resulting from the selected configuration. The associated ILP formulations are typically large in size, so that, in the recent past, several model improvements have already been proposed in the literature. However, with only one exception, all these techniques do not address the quality of the LP bound which is another crucial factor for the size of the branch-and-bound trees generated during the solution process. To this end, we present a new class of valid inequalities, contributing to a stronger LP relaxation, and discuss their numerical benefits by computational experiments based on benchmark instances and new test sets. Remarkably, the new cuts also lead to theoretical results about the optimal value of the LP relaxation. fireups fire ups TBPPFU TBPP FU (TBPP-FU twodimensional two dimensional horizon jobs (jobs consumption interval reasons switchon switch socalled called configuration past literature However exception branchandbound branch process end inequalities relaxation sets Remarkably

ABSTRACT In Brazil, the National Institute of Colonization and Agrarian Reform (INCRA) encounters difficulties in agricultural land parceling. Manual methods often prioritize the geometric regularity of lots instead of a fair subdivision concerning soil quality and expected crop output. The problem of finding fair land subdivisions regarding the soil’s agricultural aptitude has been named the Territorial Organization in Agrarian Reform Projects and Environmental Planning Problem (PROTERRA). Besides soil quality, PROTERRA requires that subdivisions exclude permanent preservation areas and native reserves, and imposes constraints on minimal access to water bodies and roads and a maximal area assigned to each lot. This study presents the new version of the Territorial Organization of Agrarian Reform and Environmental Planning System (SOTER-PA), which leverages combinatorial optimization algorithms to solve PROTERRA. We present its features and resources taking the most known geographic information systems. This system can also be used for other problems in a land subdivision and environmental planning context. Brazil INCRA (INCRA parceling output soils s . (PROTERRA) reserves lot SOTERPA, SOTERPA SOTER PA , (SOTER-PA) systems context (PROTERRA (SOTER-PA

ABSTRACT This systematic literature review examines the application of hygiene and motivation factors in project, operational, and supply chain management. Pre-defined selection criteria were used on four research questions to identify seventy-nine relevant publications from the Web of Science Core Collection. The review begins with the first research question - the characteristics of the selected publications. The second question - hygiene factors: salary, working conditions, employee well-being, and interrelationships - are analyzed afterward. The third question highlights motivation factors - promotion, career enrichment, empowerment, and learning. In addressing the fourth question, matches between regions with the most common business practices were identified. Despite the comprehensive research, only six publications explored these four research questions. Most publications concentrated on project management, and only a few mentioned operational and supply chain management professions, pointing to gaps for future research. The research limitation of focusing solely on open-access publications for in-depth analysis suggests the need for broader studies. Predefined Pre defined seventynine seventy nine Collection salary conditions wellbeing, wellbeing well being, being well-being afterward promotion enrichment empowerment learning identified professions openaccess open access indepth depth studies