Growth and innovation through reliability testing

J.I. Ansell; J.L. Quigley; L.A. Walls; Anthony H. Christer; Shunji Osaki; Lyn C. Thomas

Growth and innovation through reliability testing

J.I. Ansell
, J.L. Quigley
, L.A. Walls
, Anthony H. Christer (Editor)
, Shunji Osaki (Editor)
, Lyn C. Thomas (Editor)

Management Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

A general model is developed to describe the growth in product reliability during testing that can be attributed to two separate processes: innovation and fine-tuning. Innovation results from re-engineering the product to overcome problems identified on test. The effects of such innovations may, or may not, be beneficial. However following these there can be stable periods when only fine-tuning of the product will be carried out and some improvement in reliability is likely to be achieved. A specific example of the general model is described and its use illustrated by application to data. Finally reliability growth modelling is considered within the context of the wider issues associated with achieving innovation through testing.

Original language	English
Title of host publication	Stochastic Modelling in Innovative Manufacturing
Place of Publication	Berlin
Publisher	Springer-Verlag
Pages	225-235
Number of pages	10
Edition	445
ISBN (Print)	354061768X
Publication status	Published - 1997

Publication series

Name	Lecture Notes in Economics and Mathematical Systems
Publisher	Springer-Verlag

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

reliability testing
innovation
fine-tuning

Cite this

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title = "Growth and innovation through reliability testing",

abstract = "A general model is developed to describe the growth in product reliability during testing that can be attributed to two separate processes: innovation and fine-tuning. Innovation results from re-engineering the product to overcome problems identified on test. The effects of such innovations may, or may not, be beneficial. However following these there can be stable periods when only fine-tuning of the product will be carried out and some improvement in reliability is likely to be achieved. A specific example of the general model is described and its use illustrated by application to data. Finally reliability growth modelling is considered within the context of the wider issues associated with achieving innovation through testing.",

keywords = "reliability testing, innovation, fine-tuning",

author = "J.I. Ansell and J.L. Quigley and L.A. Walls and Christer, \{Anthony H.\} and Shunji Osaki and Thomas, \{Lyn C.\}",

year = "1997",

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AU - Ansell, J.I.

AU - Quigley, J.L.

AU - Walls, L.A.

A2 - Christer, Anthony H.

A2 - Osaki, Shunji

A2 - Thomas, Lyn C.

PY - 1997

Y1 - 1997

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AB - A general model is developed to describe the growth in product reliability during testing that can be attributed to two separate processes: innovation and fine-tuning. Innovation results from re-engineering the product to overcome problems identified on test. The effects of such innovations may, or may not, be beneficial. However following these there can be stable periods when only fine-tuning of the product will be carried out and some improvement in reliability is likely to be achieved. A specific example of the general model is described and its use illustrated by application to data. Finally reliability growth modelling is considered within the context of the wider issues associated with achieving innovation through testing.

KW - reliability testing

KW - innovation

KW - fine-tuning

M3 - Chapter

SN - 354061768X

T3 - Lecture Notes in Economics and Mathematical Systems

SP - 225

EP - 235

BT - Stochastic Modelling in Innovative Manufacturing

PB - Springer-Verlag

CY - Berlin

ER -

Growth and innovation through reliability testing

Abstract

Publication series

UN SDGs

Keywords

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Cite this