The primary objective of this research was to compare and contrast the practices of Honors...

The paper describes the design for manufacturability of a prototype product as part of a...

The manufacturing systems capable of producing several products simultaneously are frequently subject to changes in...

This paper focuses on the requirements for achieving automated diagnosis and error recovery in a...

Designing efficient and integrated manufacturing systems is the first step in attaining computer integrated enterprises...

Artificial neural networks with such characteristics as learning, graceful degradation, and speed inherent to parallel...

This paper evaluates the tardiness performance of a sampling-based adaptive heuristic in a dynamic manufacturing...

Proper integration of scheduling and control in Flexible Manufacturing Systems will make available the required...

The transition from basic automation to flexible manufacturing is an expensive and tedious procedure. It...

In this paper, we describe various techniques used to make Intuitionistic Fuzzy Logic Systems amenable...

Manufacturing industries worldwide have undergone dramatic changes in recent years and now demand more from...

In this paper, we describe the optimization of membership functions in an application employing a...

This work is a continuation of Zadeh’s research on Precisiated Natural language. Precisiated Natural Language...

Academia must develop a new approach to teaching in order to better prepare engineering students...

Abstract published of poster paper presented at conference.

Many high school students these days do not quickly recognize or identify Industrial Engineering (IE)...

Common uses of fuzzy logic control today are found in relatively simple applications in products....

Mechatronics is a combination of mechanics, electronics and information technology intended to raise the intelligence...

Mechatronics is the synergetic combination of precision mechanical engineering, electronic control and systems thinking in...

In this paper we describe a hybrid architecture that integrates artificial neural networks and knowledge-based...

An adaptive expert scheduler was developed that learns by itself and adapts to the dynamic...