Analytics-driven asset management

被引：8

作者：

Hampapur, A. ^{[1
]}

Cao, H. ^{[1
]}

Davenport, A. ^{[1
]}

Dong, W. S. ^{[2
]}

Fenhagen, D. ^{[3
]}

Feris, R. S. ^{[1
]}

Goldszmidt, G. ^{[4
]}

Jiang, Z. B. ^{[2
]}

Kalagnanam, J. ^{[1
]}

Kumar, T. ^{[1
]}

Li, H. ^{[1
]}

Liu, X. ^{[1
]}

Mahatma, S. ^{[1
]}

Pankanti, S. ^{[1
]}

Pelleg, D.

Sun, W. ^{[2
]}

Taylor, M. ^{[4
]}

Tian, C. H. ^{[2
]}

Wasserkrug, S. ^{[2
]}

Xie, L. ^{[1
]}

Lodhi, M. ^{[5
]}

Kiely, C. ^{[5
]}

Butturff, K. ^{[5
]}

Desjardins, L. ^{[5
]}

机构：

[1] IBM Corp, Div Res, Thomas J Watson Res Ctr, Yorktown Hts, NY 10598 USA

[2] IBM Res Div, Beijing 100193, Peoples R China

[3] IBM Global Business Serv, Baltimore, MD 21211 USA

[4] IBM Software Grp, Somers, NY 10589 USA

[5] DC Water, Washington, DC 20032 USA

来源：

IBM JOURNAL OF RESEARCH AND DEVELOPMENT | 2011年 / 55卷 / 1-2期

关键词：

MODELS;

D O I：

10.1147/JRD.2010.2092173

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Asset-intensive businesses across industries rely on physical assets to deliver services to their customers, and effective asset management is critical to the businesses. Today, businesses may make use of enterprise asset-management (EAM) solutions for many asset-related processes, ranging from the core asset-management functions to maintenance, inventory, contracts, warranties, procurement, and customer-service management. While EAM solutions have transformed the operational aspects of asset management through data capture and process automation, the decision-making process with respect to assets still heavily relies on institutional knowledge and anecdotal insights. Analytics-driven asset management is an approach that makes use of advanced analytics and optimization technologies to transform the vast amounts of data from asset management, metering, and sensor systems into actionable insight, foresight, and prescriptions that can guide decisions involving strategic and tactical assets, as well as customer and business models.

引用

页数：19

共 34 条

[1]

Agrawal R., 1993, SIGMOD Record, V22, P207, DOI 10.1145/170036.170072

[2]

Agrawal R., 1994, P 20 INT C VER LARG, P487, DOI DOI 10.5555/645920.672836

[3]

[Anonymous], 2006, ACM Computing Surveys, DOI DOI 10.1145/1132956.1132958

[4]

[Anonymous], 2009, 2009 REP CARD AM INF

[5] Solving vehicle routing problems using constraint programming and metaheuristics [J].

Backer, BD ;

Furnon, V ;

Shaw, P ;

Kilby, P ;

Prosser, P .

JOURNAL OF HEURISTICS, 2000, 6 (04) :501-523

[6]

Billington R. D., 1999, U.S. Patent, Patent No. [5 963 884, 5963884]

[7]

Brockwell PJ, 2016, SPRINGER TEXTS STAT, P1, DOI 10.1007/978-3-319-29854-2

[8]

Busche F. D., 2002, U.S. Patent, Patent No. [6 496 814, 6496814]

[9]

Cressie N., 1993, Statistics for Spatial Data, DOI [10.1002/9781119115151, DOI 10.1002/9781119115151]

[10] Applications of maintenance optimization models: A review and analysis [J].

Dekker, R .

RELIABILITY ENGINEERING & SYSTEM SAFETY, 1996, 51 (03) :229-240

← 1 2 3 4 →