The verification and validation of engineering designs are of primary importance as they
directly influence production performance and ultimately define product functionality and …

The main concept of the authors is to place Reinforcement Learning (RL) into various fields
of manufacturing. As one of the first implementations, RL for Statistical Process Control …

Data analytics plays a significant role in the realization of Industry 4.0. By generating context-
related persistent datasets, every manufacturing process in real production becomes an …

This paper presents a framework for knowledge reuse in a product-service systems design
scenario. The project aim is to develop a methodology to capture, represent and reuse …

Construction projects are often challenged by tight budgets and limited time and resources.
Contractors are, therefore, looking for ways to become competitive by improving efficiency …

The pressure from globalisation has made manufacturing organisations moving towards
three major competitive arenas: quality, cost, and responsiveness. Quality is a universal …

Purpose–The purpose of this paper is to provide a conceptual framework which connects
theory with straightforward application of statistical process control (SPC) in discovering and …

Control chart is a useful statistical tool for the production process control to maintain the
product value at the standard. The objectives of this research were to propose the Tukey …

This paper presents a preliminary study of the quality of lathes using Data Envelopment
Analysis (DEA) as a multicriteria tool. Its purpose is to aggregate several measurements that …

Quality and process control are two important fields in the area of food quality management
and currently the improvement of both areas being used as a strategic approach to surviving …