Most classical scheduling research assumes that the objectives sought are common to all
jobs to be scheduled. However, many real-life applications can be modeled by considering …

Michael L. Pinedo Theory, Algorithms, and Systems Sixth Edition Page 1 Scheduling Michael L.
Pinedo Theory, Algorithms, and Systems Sixth Edition Page 2 Scheduling Page 3 Michael L …

In this paper we give a survey of the most important results on multicriteria scheduling that
have appeared in the literature or are to appear. We provide an extensive introduction …

We review dynamic programming (DP) algorithms utilized to solve offline deterministic
single-machine scheduling problems. We classify DP algorithms based on problem …

Random job arrivals that happen frequently in manufacturing practice may create a need for
dynamic scheduling. This paper considers an issue of how to reschedule the randomly …

This pioneering book addresses the latest research findings and application results on
disruption management, which is the study of how to dynamically recover a predetermined …

Technological developments along with the emergence of Industry 4.0 allow for new
approaches to solve industrial problems, such as the Job-shop Scheduling Problem (JSP) …

This study aims at building an efficient agent-based dynamic scheduling for real-world
manufacturing systems with various products, processes, and disturbances. Ant colony …

We consider a scheduling environment with m (m≥ 1) identical machines in parallel and
two agents. Agent A is responsible for n 1 jobs and has a given objective function with …

Almost all manufacturing facilities need to use production planning and scheduling systems
to increase productivity and to reduce production costs. Real-life production operations are …