UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 11
November-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1701866


Registration ID:
504859

Page Number

170-180

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Title

HEURISTIC-BASED ALGORITHMS FOR MATHEMATICAL MODELING OF DEVELOPMENT AND PERFORMANCE

Abstract

Scheduling is the practice of assigning a number of tasks to a new line while utilizing constrained resources to achieve approved goals. Brand-new Scheduling in manufacturing is allocating n newline tasks to the available m machines to fulfill both times- and cost-based newline objectives, such as new line minimization of the manufacture span, tardiness, lateness, due date, and so on. Since manufacturing newline industries play an essential role in a country's economy, constructing an effective scheduling system to boost growth rates and newline productivity becomes a top priority. In order to solve multi-objective subtask newline scheduling issues in manufacturing, this work attempts to provide an efficient newline scheduling approach and a mathematical model. The several aims are taken into account in a newline. In this study, the total weighted completion time for customer order scheduling is minimized, the load balance and cost for industrial robots are minimized, and a solid mathematical model for the problem of customer order schedule is developed. We investigated the issue size for optimality using a mixed integer linear programming model with mixed composition to minimize the newline makespan. Cost, time, and quality are the three main goals of the newline framework for the Service Selection and Optimization Scheduling Problem (SSOSP), together with transportation time and cost and manufacturing cost and time. To accomplish the objectives above, this study used heuristic-based algorithms like the Artificial Immune System (AIS), Particle Swam Optimization (PSO), Subtask Scheduling Algorithm (SSA), and Fuzzy based min-max rule algorithm.

Key Words

Artificial Immune System, Particle Swam Optimization, Subtask newline Scheduling Algorithm

Cite This Article

"HEURISTIC-BASED ALGORITHMS FOR MATHEMATICAL MODELING OF DEVELOPMENT AND PERFORMANCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 11, page no.170-180, November-2015, Available :http://www.jetir.org/papers/JETIR1701866.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"HEURISTIC-BASED ALGORITHMS FOR MATHEMATICAL MODELING OF DEVELOPMENT AND PERFORMANCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 11, page no. pp170-180, November-2015, Available at : http://www.jetir.org/papers/JETIR1701866.pdf

Publication Details

Published Paper ID: JETIR1701866
Registration ID: 504859
Published In: Volume 2 | Issue 11 | Year November-2015
DOI (Digital Object Identifier):
Page No: 170-180
Country: -, -, India .
Area: Other
ISSN Number: 2349-5162
Publisher: IJ Publication


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