Use of factorial design with significant interaction and Tukey's Test in agricultural and environmental experiments

Self Cite

This paper is a case study on the influence of inventory management on the results and profitability of a bakery located in the municipality of Nova Iguaçu, in the state of Rio de Janeiro. As a general objective, this study sought to identify the extent to which demand forecasting influences the inventory management of the bakery studied. To this end, the intermediate objectives were to evaluate how demand forecasting is applied, to verify how information on raw material stock levels is managed at the bakery and, finally, to report on how the adoption of a stock control methodology has a positive impact on the quality of service and the bakery's results. The theoretical reference research used a literature review as its methodology, but as far as the case study is concerned, local observations were made and a questionnaire was applied to the operation's manager, comprising ten discursive questions. Based on the analysis of the data collected, the results of the research made it clear how important it is to optimize stocks at the company in order to obtain better results and reduce freight costs, making it financially healthier and, consequently, increasing its profitability. To this end, the need for theoretical and technical knowledge, updating, integration of information, stock management strategy and investment in technologies and tools for stock control and management has become apparent.

Section: Theoretical Referentialmentioning

confidence: 99%

Demand forecasting and inventory management as requirements for quality assurance in a bakery company

De Menezes,

De Barros,

Da Fonseca

et al. 2023

Self Cite

“…Today, statistics has made a significant contribution to the decision-making process because much of what is produced is based on quantitative methods, and statistics is one such area, especially in the spread of Industry 4.0 due to the enormous amount of data to be processed and manipulated. In the information and knowledge age, statistics uses mathematics to support business professionals, government and researchers (da Motta Reis et al, 2020;de Sousa Alvarenga et al, 2021;Gomes et al, 2022;Junior et al, 2023;Felipe C. Mazza et al, 2023;Felipe Cury Mazza et al, 2022;Mendonça et al, 2023;Menezes et al, 2023;Oliveira et al, 2023;Rezende et al, 2023;Santana et al, 2023;Veloso et al, 2023;Yamada et al, 2023).…”

Section: Industry 40mentioning

confidence: 99%

Comparison of financial results of companies with different production systems: a case study of lean manufacturing and industry 4.0

De Carvalho,

Machado,

De Medeiros

et al. 2023

Self Cite

This research article aims to compare two companies, one in the commercial aviation segment (E) and the other in the cosmetic segment (N), considering the differences presented between them in relation to their production systems using lean manufacturing tools and perspective on the technologies of industry 4.0. The methodology to be used is the Discounted Cash Flow (DCF), applying the method to the two companies and performing the analysis, discussion, and comparison of projections and enterprise value obtained for each one. In the end, company N obtained growth projections and enterprise value significantly higher than the results obtained by E, whose enterprise value presents a negative sign. The present research compared only two companies in one specific market segment. It is important to amplify the field of investigation for others and compare companies that belong to the same segment. As the implication, we have the fact that the figure of the COVID-19 pandemic period considered, and the answers from each company could be different to recover from the pandemic. This research work presents as originality the methodology of evaluating the financial impact of the companies which apply lean and Industry 4.0 tools in the open capital enterprise.

“…It aims to understand the frequency of events and transform them into usable information. In multiple-response optimization, Factorial Design, Taguchi Experiments, and in almost all areas of statistics, probability is an appropriate tool to help mathematically model an experiment (Moura et al, 2023;Santana et al, 2023;Yamada et al, 2023;Zhang & Schaubel, 2012).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Application of the poisson distribution in the prediction of the number of defects in a textile factory

Da Costa Junior,

De Barros,

De Almeida

et al. 2023

Self Cite