7 research outputs found
A common framework and taxonomy for multicriteria scheduling problems with Interfering and competing Jobs: Multi-agent scheduling problems
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 different sets of jobs,
each one with its own objective(s), and an increasing number of papers addressing these problems has
appeared over the last few years. Since so far the area lacks a uni ed view, the studied problems
have received different names (such as interfering jobs, multi-agent scheduling, mixed-criteria, etc), some
authors do not seem to be aware of important contributions in related problems, and solution procedures
are often developed without taking into account existing ones. Therefore, the topic is in need of a common
framework that allows for a systematic recollection of existing contributions, as well as a clear de nition
of the main research avenues. In this paper we review multicriteria scheduling problems involving two or
more sets of jobs and propose an uni ed framework providing a common de nition, name and notation
for these problems. Moreover, we systematically review and classify the existing contributions in terms
of the complexity of the problems and the proposed solution procedures, discuss the main advances, and
point out future research lines in the topic
Production Scheduling
Generally speaking, scheduling is the procedure of mapping a set of tasks or jobs (studied objects) to a set of target resources efficiently. More specifically, as a part of a larger planning and scheduling process, production scheduling is essential for the proper functioning of a manufacturing enterprise. This book presents ten chapters divided into five sections. Section 1 discusses rescheduling strategies, policies, and methods for production scheduling. Section 2 presents two chapters about flow shop scheduling. Section 3 describes heuristic and metaheuristic methods for treating the scheduling problem in an efficient manner. In addition, two test cases are presented in Section 4. The first uses simulation, while the second shows a real implementation of a production scheduling system. Finally, Section 5 presents some modeling strategies for building production scheduling systems. This book will be of interest to those working in the decision-making branches of production, in various operational research areas, as well as computational methods design. People from a diverse background ranging from academia and research to those working in industry, can take advantage of this volume
LIPIcs, Volume 261, ICALP 2023, Complete Volume
LIPIcs, Volume 261, ICALP 2023, Complete Volum