Estimating Reliability-Based Costs in the Lifecycle of Intelligent Manufacturing Service

Xianlin Ren; Yi Chen; Deshun Li; Zezhao Pang; Zhehan Zhang

doi:10.1007/978-981-13-2396-6_37

Estimating Reliability-Based Costs in the Lifecycle of Intelligent Manufacturing Service

Xianlin Ren^*
, Yi Chen
, Deshun Li
, Zezhao Pang
, Zhehan Zhang

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The reliability of IMSS is an important factor that influences the lifecycle cost of the systems. However, there is little existing research that investigates relationships between the reliability of systems and their cost in the whole lifecycle. This paper reviews these costs, and proposes a method of estimating business losses due to the failure of an individual component/subsystem. When compared with the reliability and maintenance of manufacturing systems, IMSS exhibit specific, differing characteristics. The present paper also compares IMSS with other systems on three factors: operating mode, usage intensity, and preventive maintenance, which have effect on maintenance costs.

Original language	English
Title of host publication	Recent Advances in Intelligent Manufacturing - First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Proceedings
Editors	Shilong Wang, Ming K. Lim, Yuanxin Luo, Rui Chen, Mark Price, Yan Jin
Publisher	Springer Verlag
Pages	394-407
Number of pages	14
ISBN (Print)	9789811323959
DOIs	https://doi.org/10.1007/978-981-13-2396-6_37
State	Published - 2018
Externally published	Yes
Event	1st International Conference on Intelligent Manufacturing and Internet of Things, IMIOT 2018 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2018 - Chogqing, China Duration: 21 Sep 2018 → 23 Sep 2018

Publication series

Name	Communications in Computer and Information Science
Volume	923
ISSN (Print)	1865-0929

Conference

Conference	1st International Conference on Intelligent Manufacturing and Internet of Things, IMIOT 2018 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2018
Country/Territory	China
City	Chogqing
Period	21/09/18 → 23/09/18

Bibliographical note

Publisher Copyright:
© Springer Nature Singapore Pte Ltd 2018.

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Keywords

IMSS
Lifecycle cost
Maintenance
Reliability

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-981-13-2396-6_37

Cite this

Ren, X., Chen, Y., Li, D., Pang, Z., & Zhang, Z. (2018). Estimating Reliability-Based Costs in the Lifecycle of Intelligent Manufacturing Service. In S. Wang, M. K. Lim, Y. Luo, R. Chen, M. Price, & Y. Jin (Eds.), Recent Advances in Intelligent Manufacturing - First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Proceedings (pp. 394-407). (Communications in Computer and Information Science; Vol. 923). Springer Verlag. https://doi.org/10.1007/978-981-13-2396-6_37

Ren, Xianlin ; Chen, Yi ; Li, Deshun et al. / Estimating Reliability-Based Costs in the Lifecycle of Intelligent Manufacturing Service. Recent Advances in Intelligent Manufacturing - First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Proceedings. editor / Shilong Wang ; Ming K. Lim ; Yuanxin Luo ; Rui Chen ; Mark Price ; Yan Jin. Springer Verlag, 2018. pp. 394-407 (Communications in Computer and Information Science).

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title = "Estimating Reliability-Based Costs in the Lifecycle of Intelligent Manufacturing Service",

abstract = "The reliability of IMSS is an important factor that influences the lifecycle cost of the systems. However, there is little existing research that investigates relationships between the reliability of systems and their cost in the whole lifecycle. This paper reviews these costs, and proposes a method of estimating business losses due to the failure of an individual component/subsystem. When compared with the reliability and maintenance of manufacturing systems, IMSS exhibit specific, differing characteristics. The present paper also compares IMSS with other systems on three factors: operating mode, usage intensity, and preventive maintenance, which have effect on maintenance costs.",

keywords = "IMSS, Lifecycle cost, Maintenance, Reliability",

author = "Xianlin Ren and Yi Chen and Deshun Li and Zezhao Pang and Zhehan Zhang",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd 2018.; 1st International Conference on Intelligent Manufacturing and Internet of Things, IMIOT 2018 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2018 ; Conference date: 21-09-2018 Through 23-09-2018",

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doi = "10.1007/978-981-13-2396-6\_37",

language = "English",

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editor = "Shilong Wang and Lim, \{Ming K.\} and Yuanxin Luo and Rui Chen and Mark Price and Yan Jin",

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Ren, X, Chen, Y, Li, D, Pang, Z & Zhang, Z 2018, Estimating Reliability-Based Costs in the Lifecycle of Intelligent Manufacturing Service. in S Wang, MK Lim, Y Luo, R Chen, M Price & Y Jin (eds), Recent Advances in Intelligent Manufacturing - First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Proceedings. Communications in Computer and Information Science, vol. 923, Springer Verlag, pp. 394-407, 1st International Conference on Intelligent Manufacturing and Internet of Things, IMIOT 2018 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2018, Chogqing, China, 21/09/18. https://doi.org/10.1007/978-981-13-2396-6_37

Estimating Reliability-Based Costs in the Lifecycle of Intelligent Manufacturing Service. / Ren, Xianlin; Chen, Yi; Li, Deshun et al.
Recent Advances in Intelligent Manufacturing - First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Proceedings. ed. / Shilong Wang; Ming K. Lim; Yuanxin Luo; Rui Chen; Mark Price; Yan Jin. Springer Verlag, 2018. p. 394-407 (Communications in Computer and Information Science; Vol. 923).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Estimating Reliability-Based Costs in the Lifecycle of Intelligent Manufacturing Service

AU - Ren, Xianlin

AU - Chen, Yi

AU - Li, Deshun

AU - Pang, Zezhao

AU - Zhang, Zhehan

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd 2018.

PY - 2018

Y1 - 2018

N2 - The reliability of IMSS is an important factor that influences the lifecycle cost of the systems. However, there is little existing research that investigates relationships between the reliability of systems and their cost in the whole lifecycle. This paper reviews these costs, and proposes a method of estimating business losses due to the failure of an individual component/subsystem. When compared with the reliability and maintenance of manufacturing systems, IMSS exhibit specific, differing characteristics. The present paper also compares IMSS with other systems on three factors: operating mode, usage intensity, and preventive maintenance, which have effect on maintenance costs.

AB - The reliability of IMSS is an important factor that influences the lifecycle cost of the systems. However, there is little existing research that investigates relationships between the reliability of systems and their cost in the whole lifecycle. This paper reviews these costs, and proposes a method of estimating business losses due to the failure of an individual component/subsystem. When compared with the reliability and maintenance of manufacturing systems, IMSS exhibit specific, differing characteristics. The present paper also compares IMSS with other systems on three factors: operating mode, usage intensity, and preventive maintenance, which have effect on maintenance costs.

KW - IMSS

KW - Lifecycle cost

KW - Maintenance

KW - Reliability

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U2 - 10.1007/978-981-13-2396-6_37

DO - 10.1007/978-981-13-2396-6_37

M3 - Conference contribution

AN - SCOPUS:85053929330

SN - 9789811323959

T3 - Communications in Computer and Information Science

SP - 394

EP - 407

BT - Recent Advances in Intelligent Manufacturing - First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Proceedings

A2 - Wang, Shilong

A2 - Lim, Ming K.

A2 - Luo, Yuanxin

A2 - Chen, Rui

A2 - Price, Mark

A2 - Jin, Yan

PB - Springer Verlag

T2 - 1st International Conference on Intelligent Manufacturing and Internet of Things, IMIOT 2018 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2018

Y2 - 21 September 2018 through 23 September 2018

ER -

Ren X, Chen Y, Li D, Pang Z, Zhang Z. Estimating Reliability-Based Costs in the Lifecycle of Intelligent Manufacturing Service. In Wang S, Lim MK, Luo Y, Chen R, Price M, Jin Y, editors, Recent Advances in Intelligent Manufacturing - First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Proceedings. Springer Verlag. 2018. p. 394-407. (Communications in Computer and Information Science). doi: 10.1007/978-981-13-2396-6_37

Estimating Reliability-Based Costs in the Lifecycle of Intelligent Manufacturing Service

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this