Performance Measure of Multipurpose Machine From Single Machine Units
S.A. Akande, G.O Ajisegiri
Corresponding Author : S.A. Akande,
Department of Mechanical and Mechatronics Engineering, Afe Babalola University, Ado-Ekiti, Nigeria.
Email ID : email@example.com
Received : 2015-01-25 Accepted : 2015-02-25 Published : 2015-02-25
Abstract : This paper proposed some corollaries to obtain some performance measures of multipurpose machine from its single machine units. It is well known that multipurpose scheduling problems are NP-Hard. Similarly, increases in the number of machine in scheduling problem induce additional computational complexity and new problems, thus the larger the number of machines in a scheduling problem, the higher the degree of computational complexity involved. Therefore, any attempt to obtain the performance objectives of multiple machine environment scheduling problems from its single machine component will make the problems more amenable to solution and increase the efficiency of any proposed algorithm. This paper proposed some rules that can be used to obtain some performance objectives of multipurpose machine environment from its single machine units. It is concluded that partitioning multipurpose machine scheduling problems to its single machine units scheduling will provide a platform for further research work to propose an optimal algorithm for some multipurpose machine scheduling problems.
Keywords : Multi-purpose, complexity, corrolaies, efficiency, optima
Citation : S.A. Akande et al., (2015) Performance Measure of Multipurpose Machine from Single Machine Units.. J. of Advancement in Engineering and Technology. V2I3. DOI : 10.5281/zenodo.890918
Copyright : © 2015 S.A. Akande.. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Journal of Advancement in Engineering and Technology
ISSN : 2348-2931
Volume 2 / Issue 3
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