J. Mech. Cont.& Math. Sci., Vol.-15, No.-3, March (2020) pp 311-323
Copyright reserved © J. Mech. Cont.& Math. Sci.
AnuragTiwari et al
311
BLENDING MULTI-OBJECTIVE OPTIMIZATIONAND
QUALITY FUNCTION DEPLOYMENT FOR
DETERMINING COST AND QUALITY
Anurag Tiwari
1
, Vivek Kumar Singh
2
, Praveen Kumar Shukla
3
,
Manuj Darbari
4
1
Department of Computer Science, Babu Banarasi Das University, Lucknow,
India.
2
Department of Computer Science Babu Banarasi Das Narthan India Institute
of Technology, Lucknow, India.
3
Department of Computer Science Banarasi Das University, Lucknow, India.
4
Department of Computer Science Banarasi Das University, Lucknow, India.
1
anuragrktiwari@gmail.com,
2
viveksinghbbd@gmail.com,
3
drpraveensukla@gmail.com,
4
manujumadarbari@gmail.com
Corresponding Author: Anurag Tiwari
https://doi.org/10.26782/jmcms.2020.03.00025
Abstract
The Blending problem is one of the oldest and best known optimization
problems. It is generally formulated as a linear program and has been applied in
many fields. However, the mixing problem encountered in the industry requires much
more than direct linear programming formulation. Indeed, the classic blending model
would almost always be impossible due to the problem of blending in the industry.
Indeed, it is often not possible to combine the characteristics of the mixtures as
desired, which leads decision makers to seek solutions as close as possible to specific
solutions. In this article, we develop and solve a versatile optimization model for the
problem of blending, in which we minimize the total cost of the raw materials to be
used, as well as violations of the desired characteristic scores of the final blends. We
also present a parametric model which is used as a reference point to compare the
multi-objective optimization model.
Keywords: MOO, QFD, Mobile Handsets.
I. Introduction
This Paper highlight the issue of decision making based on the customer
Segmentation and the impact in term of Cost which will be finalized on incorporation
of those features. The paper discusses about applying Quality Function Deployment
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ISSN (Online) : 2454 -7190 Vol.-15, No.-3, March (2020) pp 311-323 ISSN (Print) 0973-8975