A study of the patterns for reducing exceptions and improving business process flexibility

Sanetake Nagayoshi, Yang Liu, Junichi Iijima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Exceptions are the events or situations that prevent business processes from completing normally. When exceptions such as cancellation of customer order occur, additional time and resources are often needed to resolve them. It is important for enterprise to pay attention to exceptions, for reducing exceptions efficiently and effectively may trace business process oriented improvement or innovation. In this study, a conceptual level pattern for reducing exceptions is proposed and discussed. This study contributes to research by 1) understanding how DEMO can help to reduce exceptions and improve business process flexibility through a case study of a Japanese company; 2) discussing suggestions for reducing exceptions and improving business process flexibility in general, 3) analyzing reasons of exceptions generating in the context of business model change from production centered to customer-centered, and how DEMO could help to enhance this change.

Original languageEnglish
Title of host publicationLecture Notes in Business Information Processing
PublisherSpringer Verlag
Pages61-76
Number of pages16
Volume110 LNBIP
ISBN (Print)9783642299025
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2nd Enterprise Engineering Working Conference, EEWC 2012 - Delft
Duration: 2012 May 72012 May 8

Publication series

NameLecture Notes in Business Information Processing
Volume110 LNBIP
ISSN (Print)18651348

Other

Other2nd Enterprise Engineering Working Conference, EEWC 2012
CityDelft
Period12/5/712/5/8

Fingerprint

Business Process
Exception
Flexibility
Industry
Customers
Business process
Business Model
Cancellation
Innovation
Resolve
Trace
Resources

Keywords

  • Business Process Re-design
  • Customer-centered Business Process
  • DEMO
  • Exception
  • Process Flexibility

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Information Systems and Management
  • Information Systems
  • Management Information Systems
  • Business and International Management
  • Control and Systems Engineering
  • Modelling and Simulation

Cite this

Nagayoshi, S., Liu, Y., & Iijima, J. (2012). A study of the patterns for reducing exceptions and improving business process flexibility. In Lecture Notes in Business Information Processing (Vol. 110 LNBIP, pp. 61-76). (Lecture Notes in Business Information Processing; Vol. 110 LNBIP). Springer Verlag. https://doi.org/10.1007/978-3-642-29903-2_5

A study of the patterns for reducing exceptions and improving business process flexibility. / Nagayoshi, Sanetake; Liu, Yang; Iijima, Junichi.

Lecture Notes in Business Information Processing. Vol. 110 LNBIP Springer Verlag, 2012. p. 61-76 (Lecture Notes in Business Information Processing; Vol. 110 LNBIP).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nagayoshi, S, Liu, Y & Iijima, J 2012, A study of the patterns for reducing exceptions and improving business process flexibility. in Lecture Notes in Business Information Processing. vol. 110 LNBIP, Lecture Notes in Business Information Processing, vol. 110 LNBIP, Springer Verlag, pp. 61-76, 2nd Enterprise Engineering Working Conference, EEWC 2012, Delft, 12/5/7. https://doi.org/10.1007/978-3-642-29903-2_5
Nagayoshi S, Liu Y, Iijima J. A study of the patterns for reducing exceptions and improving business process flexibility. In Lecture Notes in Business Information Processing. Vol. 110 LNBIP. Springer Verlag. 2012. p. 61-76. (Lecture Notes in Business Information Processing). https://doi.org/10.1007/978-3-642-29903-2_5
Nagayoshi, Sanetake ; Liu, Yang ; Iijima, Junichi. / A study of the patterns for reducing exceptions and improving business process flexibility. Lecture Notes in Business Information Processing. Vol. 110 LNBIP Springer Verlag, 2012. pp. 61-76 (Lecture Notes in Business Information Processing).
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