A hybrid method for selecting scheduling schemes in a manufacturing environment
Abstract (Summary)
Scheduling is defined as the allocation of resources, machinery or people, to
accomplish specific tasks over a certain time-slot.
Scheduling is one of the most important functions within an industrial system.
Throughout a successful scheduling policy, the utilization of resources is
optimized and goods are produced on time to meet demand, the basic elements
that contribute to the welfare of the business. Simultaneously, scheduling has
always been one of the most difficult and challenging tasks given the dynamic
nature of the industrial environment. Under certain circumstances, it is often
required revision of existing schedules. The action of revising existing schedules
is called Rescheduling. However, rescheduling causes nervousness to the
production systems. In this paper, we propose a methodology for selecting
schedules from a set of alternatives that fit best to particular environments, thus
reducing the need for revising schedules, before any of these is being dispatched
to the production floor. The proposed method combines techniques such as
Design of Experiment, Simulation Modeling, and Multi-criteria Decision. The
objective of developing such a method is to evaluate through a structured
approach the performance of scheduling schemas and select the most
appropriate one for the particular manufacturing environment, thus providing a
valuable aid to the responsible person for dispatching schedules in production
lines.
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Before developing the proposed model, the main methodologies and techniques
regarding scheduling are presented through the extensive literature review, as
well as their associated advantages and drawbacks. Following the literature
review, we establish the theoretical background and we develop the proposed
scheduling scheme. Finally, a case study that makes use of the proposed
methodology is demonstrated, and the respective results regarding selected
performance metrics are presented. The study concludes with the advantages
and the limitations the method exhibits, proposing possible directions for further
research and improvements.
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Bibliographical Information:
Advisor:
School:The University of Tennessee at Chattanooga
School Location:USA - Tennessee
Source Type:Master's Thesis
Keywords:
ISBN:
Date of Publication: