Inventory control applying sales demand prevision based on fuzzy inference system

Abstract

The market scenario of intense changes requires organizations to develop competitive factors, so developing methods for forecasting and controlling inventory is of fundamental importance for the company survival. This paper proposes a demand prevision model with fuzzy inference as a basis for major strategic decisions of the organization, having as variables the marketing mix.

Maintenance Management with Application of Computational Intelligence Generating a Decision Support System for the Load Dispatch in Power Plants

“…In the first part the development of the fuzzy rules and of the whole procedure of inference is exposed and in the second part all the tests to evaluate the maintenance and the technical state of the motors. This tool served as the basis for the resolution of the real problem of pre-shipment of cargo to satisfy the rationalized methods of just in time of the thermal plant on the operational conditions of the equipment [14,15].…”

Análise da dispersão dos indicadores de desempenho para a tomada de decisão entre duas ferramentas de modelagem fuzzy

“…A teoria dos conjuntos nebulosos foi evidenciada inicialmente por Lofti Asker Zadeh em 1965 no United States (Lee, 1990). A lógica fuzzy surgiu como uma forma de resolver questões problemáticas no qual as informações são nebulosas e difusas (Nogueira & Nascimento, 2017). A lógica difusa diferentemente da lógica clássica que é em binário, tem seus valores definidos em graus de pertinência, ou seja, tudo na lógica fuzzy tem seu nível de pertinência, inclusive a verdade (Zadeh, 1988).…”

Fuzzy Method for in Control Acetaldehyde Generation in Resin Pet in the Process of Packaging Pre-Forms of Plastic Injection

“…The fuzzy set theory was developed in 1965, with the work of Lotfi Zadeh, professor at the University of California at Berkeley (Nogueira & Nascimento, 2017). …”

“…The theory of fuzzy sets has emerged as a tool to address problems related to information vague, imprecise or ambiguous, often described in natural languagequalitative terms -to be transcribed into numerical language (Nogueira & Nascimento, 2017).…”