Journal of Manufacturing Technology Management: Volume 22 Issue 6

A survey of AI in operations management from 2005 to 2009

Khairy A.H. Kobbacy, Sunil Vadera

The use of AI for operations management, with its ability to evolve solutions, handle uncertainty and perform optimisation continues to be a major field of research. The growing…

Bayesian networks in manufacturing

Ken McNaught, Andy Chan

The purpose of this paper is to raise awareness among manufacturing researchers and practitioners of the potential of Bayesian networks (BNs) to enhance decision making in those…

Advanced scheduling with genetic algorithms in supply networks

Anna Ławrynowicz

The purpose of this research is to improve efficiency of the traditional scheduling methods and explore a more effective approach to solving the scheduling problem in supply…

“Stock‐touting” through spam e‐mails: a data mining case study

Mohamed Zaki, Babis Theodoulidis, David Díaz Solís

Although the financial markets are regulated by robust systems and rules that control their efficiency and try to protect investors from various manipulation schemes, markets…

Towards the development of an intelligent supply contract design system

Khairy A.H. Kobbacy, Hexin Wang, Wenbin Wang

Many supply contracts are employed in practice to improve the performance of supply chains. But there is a lack of research that can offer guidance to practitioners in choosing…

Computational Markovian analysis of large systems

Rashid Mehmood, Jie A. Lu

Markov chains and queuing theory are widely used analysis, optimization and decision‐making tools in many areas of science and engineering. Real life systems could be modelled and…

Application of Self Organizing Map (SOM) to model a machining process

Mohamad Saraee, Seyed Vahid Moosavi, Shabnam Rezapour

This paper aims to present a practical application of Self Organizing Map (SOM) and decision tree algorithms to model a multi‐response machining process and to provide a set of…

Guest editorial

Khairy A.H. Kobbacy, Sunil Vadera