Yield prediction is a very important task to a semiconductor manufacturing factory. However, it is difficult because yield improvement is a learning process, and the uncertainty and variation inherent in the learning process are not easy to consider. In addition, the competition in the...

The article formulates and solves the task of modelling of the level of economic security of industrial enterprises in the process of their economic activity under conditions of volatile external environment. The developed approach to assessment of the level of economic security is built on the...

Introduction of the defined contribution mandatory state pension system in Ukraine actualises the issue of efficient management of its pension assets. The goals of the article are development of theoretical and methodical provisions and development of the economic and mathematical model of...

A scheduling strategy to determine starting times of surgeries in multiple operating rooms (OR) is presented. The constraints are resource limit of a downstream facility, post-anesthesia care unit (PACU), and the service time uncertainties. Given sets of surgeries that need to be done on a day,...

Purpose – The purpose of this paper is to develop and validate an innovative Fuzzy Recognition Based‐Benefit Estimation Model (FRB‐BEM) to quantify the benefits obtained from a Mid‐Project Review (MPR) (e.g. the Gateway Review Process (GRP)). This is a quantitative assessment to evaluate...

Purpose This paper aims to examine optimal decisions for information security investments for a firm in a fuzzy environment. Under both sequential and simultaneous attack scenarios, optimal investment of firm, optimal efforts of attackers and their economic utilities are determined....

Introduces the Fuzzy Industry Maturity Grid as an extension of the Industry Maturity Grid for diagnosing an industry, to identify fast‐growing sectors and to map out growth strategies for sectors showing signs of maturity. By incorporating fuzzy set theory and aggregation models in decision...

A key point in value engineering (VE) methodology is to acquire and apply knowledge of the assorted fields. An appropriate definition of VE expert knowledge flow could, therefore, yield more productive VE workshops. A conceptual expert case-based reasoning (CBR) framework is introduced in this...