Organizational dimensions of e-maintenance: a multi-contextual perspective

Springer Science and Business Media LLC - Tập 1 - Trang 210-218 - 2011
Katrin Jonsson1, Jonny Holmström1, Per Levén1
1Department of Informatics, Umeå University, Umeå, Sweden

Tóm tắt

A key objective for e-maintenance efforts is to align maintenance processes with business- and operational processes in order to reach organizational objectives. In the context of the process- and manufacturing industry a key objective for firms is to avoid downtime and to make sure all critical production equipment is up and running. To this end, e-maintenance has become increasingly important for the process- and manufacturing industry. Successful e-maintenance is realized by the organizational use of advanced information technology-solutions which aims at moving maintenance work from being primarily reactive (e.g. to react and respond to equipment breakdowns) to predictive (e.g. to predict when equipment are in need of maintenance before it breaks down). Building on a collaborative project with industrial organizations in the pulp and paper and the mining industry this paper explores organizational opportunities and challenges associated with the design and implementation of IT-based services for remote diagnostics of industrial equipment. We observe opportunities and challenges related to organizational innovation and learning. The paper introduces a multi-contextual perspective to better understand the opportunities and challenges associated with organizational learning and innovation. We argue that in order for e-maintenance services to be successful it must not only build on leading-edge technological solutions but also be built on an explicit model for how the maintenance work is organized and how e-maintenance efforts are aligned with overall organizational objectives.

Tài liệu tham khảo

Allen RL, Mills DW (2004) Signal analysis: time, frequency, scale and structure. IEEE Press, Piscataway, NJ Andersson M, Lindgren R (2005) The mobile-stationary divide in ubiquitous computing environments: lessons from the transport industry. Info Sys Manag 22(4):65–79 Armistead C, Clark G (1991) A framework for formulating after-sales support strategy. Int J Operations Prod Manag 11(3):111–124 Biehl M, Prater E, McIntyre JR (2004) Remote repair, diagnostics, and maintenance. Communication of the ACM 47(11):101–106 Collacott RA (1977) Mechanical fault diagnosis and condition monitoring. Chapman & Hall, London Fountain JE (2001) Building the virtual state: information technology and institutional change. Brookings Institution, Washington, DC Gertler JJ (1998) Fault detection and diagnosis in engineering systems. Marcel Dekker, New York, NY, USA Hackenbroich G, Bornhövd C, Haller S, Schaper J (2006) Optimizing business processes by automatic data acquisition: RFID technology and beyond. In: Roussos G (ed) Ubiquitous and pervasive commerce. New frontiers for electronic business. Springer, London Han T, Yang B-S (2006) Development of an e-maintenance system integrating advanced techniques. Comput Ind 57(6):569–580 Hayes MH (1996) Statistical digital signal processing and modelling. Wiley, Ney York, NY, USA Hayes N (2001) Boundless and bounded interactions in the knowledge work process: the role of groupware technologies. Inf Organ 11(2):79–101 Hibbert L (2000) Here, there, everywhere. Prof Eng 13(16):40 Holmström J, Wiberg M, Lund A (2010) Industrial informatics: what we know and what we don’t know. In: Holmström J, Wiberg M, Lund A (eds) Industrial informatics design, use and innovation: perspectives and challenges. IGI Global, Hershey Iung B, Marquez AC (2006) Editoral, special issue on e-maintenance. Comput Ind 57:473–475 Iung B, Levrat E, Marquez AC, Erbe H (2009) Conceptual framework for e-maintenance: illustrtaion by e-maintenance technologies and platforms. Annu Rev Cont 33:220–229 Jardine AKS, Line D, Banjevic D (2006) A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech Sys Signal Process 20:1483–1510 Jonsson K (2010) Digitalized industrial equipment. an investigation of remote diagnostics services. Umeå University, Umeå Jonsson K, Westergren UH, Holmström J (2008) Technologies for value creation: an exploration of remote diagnostics systems in the manufacturing industry. Info Sys J 18(3):227–245 Jonsson K, Holmström J, Lyytinen K (2009) Turn to the material: remote diagnostics and new forms of boundary-spanning. Inf Organ 19(4):233–252 Kajko-Mattsson M, Karim R, Mirjamsdotter A (2010) Fundamentals of the eMaintenance Concept. Paper presented at the 1st international workshop and congress on eMainteance 2010, June 22–24 Luleå, Sweden Karim R, Söderholm P (2009) Application of information and communication technology for maintenance support information services. J Qual Maint Eng 15(1):78–91 Kim S-H, Cohen MA, Netessine S (2007) Performance contracting in after-sales service supply chains. Manage Sci 53(12):1843–1858 Kogut B, Zander U (1992) Knowledge of the firm, combinative capabilities, and the replication of technology. Org Sci 3(3):383–397 Korbicz J, Koscielny JM, Kowalczuk Z, Cholewa W (2004) Fault diagnosis: models, artificial intelligence, applications. Springer, Berlin Kumar U, Karim R, Parida A (eds.) (2010) Proceedings of the 1st international congress on eMaintenance. Luleå Technical University, Luleå Kuschel J (2009) Vehicle services. University of Gothenburg, Gothenburg, Sweden Kuschel J, Ljungberg F (2004) Decentralized remote diagnostics: a study of diagnostics in the marine industry. Paper presented at the 18th British HCI Group Annual Conference, Leeds, UK, September 6–10 Lee J, Ni J, Djurdjanovic D, Qiu H, Liao H (2006) Intelligent prognostics tools and e-maintenance. Comput Ind 57(6):476–489 Leifer R, Delbecq A (1978) Organizational/environmental interchange: a model of boundary-spanning activity. Acad Manag Rev 3(1):40–50 Lindgren R, Andersson M, Henfridsson O (2008) Multi-contextuality in boundary-spanning. Info Sys J 18(6):641–661 Markeset T, Kumar U (2005) Product support strategy: conventional versus functional products. J Qual Maint Eng 11(1):53–67 Muller A, Marquez AC, Iung B (2008) On the concept of eMaintenance: review and current research. J Reliab Eng Sys Safety 93(8):1165–1187 Peppard J (2001) Bridging the gap between the IS organization and the rest of the business: plotting a route. Info Sys J 11(3):249–270 Simani S, Fantuzzi C, Patton RJ (2003) Model-based fault diagnosis in dynamic systems using identification techniques. Springer, London Simmons D (2001) Field service management: a classification scheme and study of server flexibility. Binghamton University, New York Swanson L (2001) Linking maintenance strategies to performance. Int J Prod Eco 70(3):237–244 Tolmie P, Grasso A, O’Neill J, Castellani S (2004) Supporting remote problem-solving with ubiquitous computing: Research policies and objectives. Paper presented at the Ubicomp Conference, Giving help at a distance workshop, Nottingham, UK, September 7–10 Tsang AHC (2002) Strategic dimensions of maintenance management. J Qual Maint Eng 8(1):7–39 Tushman ML, Anderson P (1986) Technological discontinuities and organizational environments. Adm Sci Q 31(3):439–465 Yin RK (2003) Case study research: design and methods. Sage Publications, London, UK Zuboff S (1988) In the age of the smart machine: the future of work and power. Basic Books, New York