After-sales maintenance service strategies optimization. An offshore wind farm case study

被引：5

作者：

Sagarna, Irene ^{[1
]}

Uribetxebarria, Jone ^{[1
]}

Castellano, Eduardo ^{[1
]}

Erguido, Asier ^{[1
,2
]}

机构：

[1] IK4 Ikerlan Technol Res Ctr, Operat & Maintenance Area, P JM Arizmendiarrieta 2, Arrasate Mondragon 20500, Spain

[2] Escuela Tecn Super Ingn, Dept Ind Management, Seville, Spain

来源：

IFAC PAPERSONLINE | 2016年 / 49卷 / 28期

关键词：

After-sale services; Asset management; Offshore wind farms; Agent-based simulation; OF-THE-ART; TURBINES; SYSTEMS;

D O I：

10.1016/j.ifacol.2016.11.027

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

After-sale maintenance services for machine manufacturers can be a very profitable source of incomes. Although historically machine manufacturers have mainly been focused on improving their production processes, in the last years many machine manufacturers have also included after-sale service processes into their business strategies. When defining after-sale services, one of the main difficulties is to identify, firstly, which maintenance requirements has each asset, secondly, which maintenance strategy (i.e. corrective-preventive-predictive mix) should be followed in each particular case, and thirdly which resources are needed to schedule and perform the maintenance tasks. With the purpose of supporting this decision making process concerning asset management strategies, in the proposed research it is developed an agent-based simulation tool that allows to identify the correct maintenance strategy. The experiments performed for this particular study allows identifying critical service parameters and resources vs. results (i.e. availability and benefits) trade off optimization for an offshore wind farm case study. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：156 / 161

页数：6

共 20 条

[1] State-of-the-art in product-service systems [J].

Baines, T. S. ;

Lightfoot, H. W. ;

Evans, S. ;

Neely, A. ;

Greenough, R. ;

Peppard, J. ;

Roy, R. ;

Shehab, E. ;

Braganza, A. ;

Tiwari, A. ;

Alcock, J. R. ;

Angus, J. P. ;

Bastl, M. ;

Cousens, A. ;

Irving, P. ;

Johnson, M. ;

Kingston, J. ;

Lockett, H. ;

Martinez, V. ;

Michele, P. ;

Tranfield, D. ;

Walton, I. M. ;

Wilson, H. .

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2007, 221 (10) :1543-1552

[2] State of the Art of Maintenance Applied to Wind Turbines [J].

Barbera, Luis ;

Guerrero, Alejandro ;

Crespo, Adolfo ;

Gonzalez-Prida, Vicente ;

Guillen, Antonio ;

Gomez, Juan ;

Sola, Antonio .

2013 PROGNOSTICS AND HEALTH MANAGEMENT CONFERENCE (PHM), 2013, 33 :931-936

[3]

Besnard F., 2013, On maintenance optimization for offshore wind farms

[4] The analytic hierarchy process applied to maintenance strategy selection [J].

Bevilacqua, M ;

Braglia, M .

RELIABILITY ENGINEERING & SYSTEM SAFETY, 2000, 70 (01) :71-83

[5] Onshore wind farms maintenance optimization using a stochastic model [J].

Carlos, S. ;

Sanchez, A. ;

Martorell, S. ;

Marton, I. .

MATHEMATICAL AND COMPUTER MODELLING, 2013, 57 (7-8) :1884-1890

[6]

Castellano E., 2016, OPTIMUM DECISION MAK

[7]

Chen I. J., 2003, Business Process Management Journal, V9, P672, DOI 10.1108/14637150310496758

[8]

Crespo A., 2007, MAINTENANCE MANAGEME

[9] Opportunistic maintenance for wind farms considering multi-level imperfect maintenance thresholds [J].

Ding, Fangfang ;

Tian, Zhigang .

RENEWABLE ENERGY, 2012, 45 :175-182

[10]

Faulstich S., 2010, Wind energy report Germany Offshore

← 1 2 →