Artificial intelligence (AI) was introduced to develop and create “thinking machines” that are
capable of mimicking, learning, and replacing human intelligence. Since the late 1970s, AI …

Agent technology has been recognized as a promising paradigm for next generation
manufacturing systems. Researchers have attempted to apply agent technology to …

This paper focus on artificial intelligence approaches to NP-hard job shop scheduling (JSS)
problem. In the literature successful approaches of artificial intelligence techniques such as …

Manufacturing process planning is the process of selecting and sequencing manufacturing
processes such that they achieve one or more goals and satisfy a set of domain constraints …

In real-world manufacturing, disruptions are often encountered during the execution of a
predetermined schedule, leading to the degradation of its optimality and feasibility. This …

This paper is on the development of an agent-based approach for the dynamic integration of
the process planning and scheduling functions. In consideration of the alternative processes …

This study develops an enhanced ant colony optimization (E-ACO) meta-heuristic to
accomplish the integrated process planning and scheduling (IPPS) problem in the job-shop …

Agent paradigm is a technology recognized as potent tool for the 21 st century
manufacturing system. Researches are on-going in the applications of agent technology to …

This paper presents the development of an agent-based negotiation approach to integrate
process planning and scheduling (IPPS) in a job shop kind of flexible manufacturing …

Flexible job-shop scheduling problems are an important extension of the classical job-shop
scheduling problems and present additional complexity. Such problems are mainly due to …