Abstract
Exception handling is increasingly recognized as a critical capability of today’s enterprises, especially manufacturers, since manufacturing systems have become complex to satisfy ever-changing customer requirements and support collaboration of various supply chain partners. This paper proposes a concept of proactive exception handling as an advanced approach for effective exception resolution as well as exception prevention. Especially, it proposes active data acquisition as a key element of proactive exception handling. The paper introduces a data acquisition language designed by analyzing the information requirements of active data acquisition. It presents the architecture of a system which enables active data acquisition for the language. Finally, the paper illustrates the language and system architecture using examples. The data acquisition language and system can support proactive exception handling by enabling active acquisition that provides the necessary data only when they are actually required without waiting for the data to be provided.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Saastamoinen HT (1995) On the handling of exceptions in information systems. PhD thesis dissertation, University of Jyvaskyla Press
Valckenaers P (2004) Challenges of next generation manufacturing systems. LNCS 314:23–28
Hagen C, Alonso G (1974) Exception handling in workflow management systems. IEEE TSE 26(1):943–958
Hwang GH, Lee YC (2005) A flexible failure-recovery model for workflow management systems. IJCIS 14(1):1–24
Kammer PJ, Bolcer GA, Taylor RN, Hitomi AS, Bergman M (2000) Techniques for supporting dynamic and adaptive workflow. CSCW 9:269–292
Casati F, Ceri S, Paraboschi S, Pozzi S (1999) Specification and implementation of exceptions in workflow management systems. ACM TDS 24(3):405–451 doi:10.1145/328939.328996
Park C, Choi I (2004) Management of business process constraints using BP trigger. Comput Ind 55(1):29–51 doi:10.1016/j.compind.2003.11.003
Baresi L, Guinea S (2005) Dynamic monitoring of WS-BPEL processes. LNCS 3826:269–282
Wang M, Wang H, Xu D (2005) The design of intelligent workflow monitoring with agent technology. Knowledge-Based Syst 18:257–266 doi:10.1016/j.knosys.2004.04.012
Strong DM, Miller SM (1995) Exceptions and exception handling in computerized information processes. ACM TIS 13(2):206–233
Luo Z, Sheth A, Kochut K, Miller J (2000) Exception handling in workflow systems. Appl Intell 13:125–147 doi:10.1023/A:1008388412284
Grigori D, Casati F, Dayal U, Shan MC (2001) Improving business process quality through exception understanding, prediction, and prevention. Proc VLDB 01:159–168
Rensburg AJ, Renaud K (2001) Towards an integrated classification of exceptions. Technical Report of University of South Africa Press. Available online at: http://www.cs.unisa.ac.za/TechnicalReports/index.html
Gasser L (1986) The integration of computing and routine work. ACM TIS 14(3):205–225
Suchman LA (1983) Office procedure as practical action: models of work and system design. ACM TIS 1(4):320–328
Russell N, Aalst W, Hofstede A (2006) Workflow exception patterns. LNCS 4001:288–302
MESA (1997) MES functionalities & MRP to MES data flow possibilities. White Paper of MESA International
Bodre R. Introduction to machine vibration online text book. Available online at: http://www.dliengineering.com/vibman.htm
OASIS Universal Description, Discovery and Integration. Available online at: http://www.uddi.org/specification.html
W3C. Web Services Description Language 1.1. Available online at: http://www.w3.org/TR/wsdl
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Kim, K., Choi, I. Active data acquisition for proactive exception handling in manufacturing. Int J Adv Manuf Technol 43, 365–378 (2009). https://doi.org/10.1007/s00170-008-1694-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-008-1694-z