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Bi-Objective Scheduling on Parallel Machines in Fuzzy Environment

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 236))

Abstract

The present chapter pertains to a bi-objective scheduling on parallel machines involving total tardiness and number of tardy jobs (NT). The processing time of jobs are uncertain in nature and are represented by triangular fuzzy membership function. The objective of the chapter is to find the optimal sequence of jobs processing on parallel identical machines so as to minimize the secondary criteria of NT with the condition that the primary criteria of total tardiness remains optimized. The bi-objective problem with total tardiness and NT as primary and secondary criteria, respectively, for any number of parallel machines is NP-hard. Following the theoretical treatment, a numerical illustration has also been given to demonstrate the potential efficiency of the proposed algorithm as a valuable analytical tool for the researchers.

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Correspondence to Sameer Sharma .

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© 2014 Springer India

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Sharma, S., Gupta, D., Sharma, S. (2014). Bi-Objective Scheduling on Parallel Machines in Fuzzy Environment. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_40

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  • DOI: https://doi.org/10.1007/978-81-322-1602-5_40

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1601-8

  • Online ISBN: 978-81-322-1602-5

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