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Erschienen in:
Design and Development of a Low Cost Automation Injection Molding Machine of 250 g Capacity Using Microcontroller Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Appraisement of Mass Customization Capability Level Using Multi-grade Fuzzy Approach

verfasst von : Jayant K. Purohit, M. L. Mittal, Milind Kumar Sharma, Sameer Mittal

Erschienen in: CAD/CAM, Robotics and Factories of the Future

Verlag: Springer India

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Abstract

The manufacturing organizations around the globe have been observing a paradigm shifting from mass production to mass customization (MC). Mass customization capability (MCC) is the ability of a firm to produce varieties of customized products quickly, on a large scale and at a cost comparable to mass-production through flexible production processes and responsive supply chain. The goal of this paper to report a existing mass customization capability level (MCCL) appraisement of Indian bicycle manufacturing firm using multi-grade fuzzy approach. Through this study, a MCCL measurement model integrated with multi-grade fuzzy approach was designed. After the computation of MCCL index, the areas for improvement have been identified to adopt and implement mass customization strategy in the case firm. The approach contributed in this paper could be employed as appraisement equipment for estimating an organization’s capability to turn out to be a mass customizer.

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Vorheriges Kapitel Aero-Structure Interaction for Mechanical Integration of HP Compressor Blades in a Gas Engine Rotor
Nächstes Kapitel Analysis of Solar Ejector–Jet Refrigeration System Using Eco-Friendly Material R1234yf
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Metadaten
Titel
Appraisement of Mass Customization Capability Level Using Multi-grade Fuzzy Approach
verfasst von
Jayant K. Purohit
M. L. Mittal
Milind Kumar Sharma
Sameer Mittal
Copyright-Jahr
2016
Verlag
Springer India
Buch
CAD/CAM, Robotics and Factories of the Future

Print ISBN: 978-81-322-2738-0

Electronic ISBN: 978-81-322-2740-3

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-81-322-2740-3_79

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