Statistics as a tool for decision making in agricultural and environmental experiments

This study aimed to identify and present applications of statistical methods in problems of agricultural and environmental nature. To achieve this objective, applied research of exploratory and quantitative nature was carried out. Two case studies were adopted as method and technical procedures. As a contribution to this research, the use of statistical methods in problem solving and as a tool for decision making is pointed out

Mapping Sustainability 4.0: contributions and limits of the symbiosis

The history of industry is marked by four industrial revolutions, and society is now in the consolidation of its fourth, which provides opportunities for sustainability, such as reduction in environmental impact and social inclusion. This article aims to identify the main authors, countries, articles, and research gaps on the theme "Industry 4.0 and Corporate Sustainability"; and to draw up a mind map with the research trends, through the analysis of the documents that are indexed in the Scopus database. Among the main trends that were identified in this article are: Industry 4.0 as a tool to support sustainability; Intersection and boundaries between sustainability and industry 4.0; Development of industry 4.0 along the lines of sustainability; Management applied in sustainable industry 4.0. The main contribution applied was the exposure of the possibilities that companies can implement, both in relation to sustainability in the development of innovative technologies, and the use of technologies to strengthen the pillars of sustainability

Identification of Research gaps on Municipal Solid Waste Management from Data Indexed in the SCOPUS Database

This study aimed to identify the research gaps on the theme "Municipal Solid Waste Management", as from the analysis of articles indexed in the SCOPUS database. For this objective to be achieved, an applied research of exploratory nature and qualitative approach was carried out. It is noteworthy that, as method and technical procedures were adopted, respectively, the bibliographic research and the literature review. The data used in the analysis were obtained from the SCOPUS database in May 2018 and treated using Microsoft Excel® software. It is noteworthy that as a selection criterion, thirty papers indexed in this base that presented the highest number of citations were analyzed. As main results, it can be highlighted that the identified gaps were grouped into eight categories. Among the categories analyzed, one can highlight life cycle assessment, with ten gaps, and tools for municipal solid waste management, with eight. It is also noteworthy that the category "municipal solid waste management associated with other methodologies" occupies the second position, along with "tools for the management of municipal solid waste, indicating the lack of studies in the highlighted areas and pointing out the relevance of the theme for the academic environ

How to perform a simultaneous optimization with several response variables

A problem facing the product development community is developing simultaneous solutions of response variables (to several properties) that depends on a number of independent variables or sets of responses. Harrington, among others, addressed this problem and presented a desirability function with a functional approach. Derringer and Suich altered their approach and illustrated how multiple variables can be transformed into a convenience function. This work redid the calculation performed by them using another software and made a comparative discussion of the results found

Supply chain analysis through partner suppliers: a study of a small-medium sized company in Brazil

Ferreira, Ana Cristina, e outros (2023) - International conference on technology management and operations. - Lisboa : Universidade Lusíada Editora. - ISBN 978-898-640-273-0.With the process of globalization of economies, companies have been suffering increasing competition in the search for and maintenance of customers. Thus, opportunities that represent competitive advantage have been analysed and, many times, adopted. In this context, the supply chain can be a competitive differential, as it favours cost reduction and quality improvement of production resources. On the other hand, delays, and shortages of inputs in the production chain generate losses of resources and damage the company’s image with its customers. Within this perspective, the supply chain of a heavy machinery and equipment manufacturer, addressing the indicators Supplier Potential (PF), Supply Conformity Index (ICF) and Service Index (AI). The objective of this research was to identify the delays and shortages of inputs, arising from the company’s supply chain, as well as from the purchasing and parts collection process. To this end, the fundamentals of Taker ship and Management by Indicators were adopted, a ming to achieve the proposed objectives. The work sought to collect data from the root year of the analysed process so that a picture could be made of how the process happened in he beginning, in the year 2008 and these data reflect the current reality of the company 2021. The study indicated the need for a new purchasing and parts collection system that could contribute to the elimination or reduction of the identified losses. The results obtained showed the successes in the supply chain integration strategy, using partner suppliers, as well as the implementation of a Milk Run type parts collection system

Scientific research trends about metaheuristics in process optimization and case study using the desirability function

This study aimed to identify the research gaps in Metaheuristics, taking into account the publications entered in a database in 2015 and to present a case study of a company in the Sul Fluminense region using the Desirability function. To achieve this goal, applied research of exploratory nature and qualitative approach was carried out, as well as another of quantitative nature. As method and technical procedures were the bibliographical research, some literature review, and an adopted case study respectively. As a contribution of this research, the holistic view of opportunities to carry out new investigations on the theme in question is pointed out. It is noteworthy that the identified study gaps after the research were prioritized and discriminated, highlighting the importance of the viability of metaheuristic algorithms, as well as their benefits for process optimization

The sustainable development path for the survival of the planet and the contribution to the 2030 Agenda

Ferreira, Ana Cristina, e outros (2023) - International conference on technology management and operations. - Lisboa : Universidade Lusíada Editora. - ISBN 978-898-640-273-0.The unsustainable use of natural resources, including fossil fuels, metals, and minerals, can lead to the scarcity of these resources and the depletion of entire ecosystems. The impact on the ecosystem and human life is the main topic of meetings at the United Nations (UN). To help mitigate these impacts on the planet the UN has formulated 17 Sustainable Development Goals (SDG) to help governments and organizations develop sustainability. This research aims to identify and analyse research trends on sustainable development and propose best practices that assist industrial organizations in achieving the UN SDG. The method adopted was a literature review, which served as the basis for identifying gaps in the most relevant publications indexed in the Scopus database. From the identified gaps, it was possible to compose trend clusters. The main contribution of this study is the mapping of the sustainable development field of study and paving the way for industrial organizations to aim towards the SDG of the 2030 Agenda. As a suggestion for future research, it is recommended that case studies be carried out, to ascertain the good practices that organizations can use to improve sustainable development

DETERMINANTS OF INTENT TO PURCHASE ORGANIC PRODUCTS TO IMPROVE QUALITY OF LIFE

Concerns about food quality and safety have grown as cases of disease and food-related scandals increase. To mitigate this problem, organic products have been a solution, as their certification is provided through processes that are less harmful to the environment and consumer health. To understand the main motivations of consumers of organic products, the objective of this study is to demonstrate whether the statistical values of the predictor variables (health concern, signaling trust, and attitude) confirm their purchase intention (dependent variable). To carry out this research, the survey method was used, applying a questionnaire with open and closed questions to 288 respondents, supporting the elaboration of a structural model based on four hypotheses, which were confirmed through statistical calculations. As for the contribution, this work supports the alignment of expectations and preferences of the members of the production chain of organic products

Search for new particles in events with energetic jets and large missing transverse momentum in proton-proton collisions at root s=13 TeV

A search is presented for new particles produced at the LHC in proton-proton collisions at root s = 13 TeV, using events with energetic jets and large missing transverse momentum. The analysis is based on a data sample corresponding to an integrated luminosity of 101 fb(-1), collected in 2017-2018 with the CMS detector. Machine learning techniques are used to define separate categories for events with narrow jets from initial-state radiation and events with large-radius jets consistent with a hadronic decay of a W or Z boson. A statistical combination is made with an earlier search based on a data sample of 36 fb(-1), collected in 2016. No significant excess of events is observed with respect to the standard model background expectation determined from control samples in data. The results are interpreted in terms of limits on the branching fraction of an invisible decay of the Higgs boson, as well as constraints on simplified models of dark matter, on first-generation scalar leptoquarks decaying to quarks and neutrinos, and on models with large extra dimensions. Several of the new limits, specifically for spin-1 dark matter mediators, pseudoscalar mediators, colored mediators, and leptoquarks, are the most restrictive to date.Peer reviewe

Combined searches for the production of supersymmetric top quark partners in proton-proton collisions at root s=13 TeV

A combination of searches for top squark pair production using proton-proton collision data at a center-of-mass energy of 13 TeV at the CERN LHC, corresponding to an integrated luminosity of 137 fb(-1) collected by the CMS experiment, is presented. Signatures with at least 2 jets and large missing transverse momentum are categorized into events with 0, 1, or 2 leptons. New results for regions of parameter space where the kinematical properties of top squark pair production and top quark pair production are very similar are presented. Depending on themodel, the combined result excludes a top squarkmass up to 1325 GeV for amassless neutralino, and a neutralinomass up to 700 GeV for a top squarkmass of 1150 GeV. Top squarks with masses from 145 to 295 GeV, for neutralino masses from 0 to 100 GeV, with a mass difference between the top squark and the neutralino in a window of 30 GeV around the mass of the top quark, are excluded for the first time with CMS data. The results of theses searches are also interpreted in an alternative signal model of dark matter production via a spin-0 mediator in association with a top quark pair. Upper limits are set on the cross section for mediator particle masses of up to 420 GeV