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Published in:

Volume 7 Issue 9
September-2020
eISSN: 2349-5162

Unique Identifier

JETIR2009134

Page Number

984-993

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Title

Multi Objective Flexible Employee Scheduling Using PSBCSP Algorithm

ISSN

2349-5162

Cite This Article

"Multi Objective Flexible Employee Scheduling Using PSBCSP Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 9, page no.984-993, September-2020, Available :http://www.jetir.org/papers/JETIR2009134.pdf

Abstract

In this paper an Artificial Immune System is used to study the employee scheduling problem in the manufacturing industries. Scheduling is done based on the aspects of both management and employees. The management aspect is to reduce the total cost of the employee by minimizing the makes span. The employee aspects are preferred number of shifts, shift types, days off etc. In this scheduling an extra care is taken for not assigning Night Shift on the day before day off, because once night shift is assigned the employee almost present for the next morning. A mathematical model is formed based on flexible working of the employees. In this model 6 hour shifts are allotted to the employees, which reduces the total cost by 10.344% and the makes span by 4.545% compared to the other models.

Key Words

Positive Selection Based Clonal Selection Principle (PSBCSP), Employee Scheduling.

Cite This Article

"Multi Objective Flexible Employee Scheduling Using PSBCSP Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 9, page no. pp984-993, September-2020, Available at : http://www.jetir.org/papers/JETIR2009134.pdf

Publication Details

Published Paper ID: JETIR2009134
Registration ID: 300551
Published In: Volume 7 | Issue 9 | Year September-2020
DOI (Digital Object Identifier):
Page No: 984-993
ISSN Number: 2349-5162

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Cite This Article

"Multi Objective Flexible Employee Scheduling Using PSBCSP Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 9, page no. pp984-993, September-2020, Available at : http://www.jetir.org/papers/JETIR2009134.pdf




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