Product Life Cycle: VAVE Impact in Manufacturing Cost Reduction

Samir Mekid

doi:10.4028/www.scientific.net/AMM.575.910

Paper Titles

An Immune Based Ontology Implementation of Hazard and Operability Analysis in Production Systems
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Integrating AHP Application for Project Management
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An Investigation for the Potential of Improving the Performance of Pattern Making Process in Steel Foundries: Case Study
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The Effectiveness of Value Stream Mapping (VSM) as an Improvement Tool for the Manufacturing Operation
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Product Life Cycle: VAVE Impact in Manufacturing Cost Reduction
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Problems in the International Standard Model Method and Empirical Study
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A Hybrid Discrete Firefly Algorithm for Multi-Objective Flexible Job Shop Scheduling Problems with Maintenance Activity
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Scheduling with Discretely Compressible Processing Times to Minimize Makespan
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Three-Dimensional Reconstruction of Three Real Roots Included Periodontal Ligament and Implant Study
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 575Product Life Cycle: VAVE Impact in Manufacturing...

Product Life Cycle: VAVE Impact in Manufacturing Cost Reduction

Abstract:

This paper reports on the impact of Value Analysis Value Engineering (VAVE) applied to an industrial product where manufacturability and choice of manufacturing methods can be of great benefit in reducing cost and sometimes manufacturing time in a mass production line. The purpose of this requested task is to reduce the cost of a specific product using VAVE analysis through better value estimation related to suitable manufacturing process while maintaining similar or better technical performance. A couple of technical design solutions are proposed and discussed with study cases. The work is progressing towards the final stage.

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Periodical:

Applied Mechanics and Materials (Volume 575)

Pages:

910-916

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.575.910

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Online since:

June 2014

Authors:

Samir Mekid*

Keywords:

Manufacturing, Noise Reduction, Product Improvement, Value Analysis Value Engineering

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* - Corresponding Author

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