Flexibility of Data-driven Process Structures

Dominic Muller; Manfred Reichert; Joachim Herbst

doi:10.1007/11837862_19

Flexibility of Data-driven Process Structures

Dominic Muller, Manfred Reichert, Joachim Herbst

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

20 Citations (Scopus)

2 Downloads (Pure)

Abstract

The coordination of complex process structures is a fundamental task for enterprises, such as in the automotive industry. Usually, such process structures consist of several (sub-)processes whose execution must be coordinated and synchronized. Effecting this manually is both ineffective and error-prone. However, we can benefit from the fact that these processes are correlated with product structures in many application domains, such as product engineering. Specifically, we can utilize the assembly of a complex real object, such as a car consisting of different mechanical, electrical or electronic subcomponents. Each sub-component has related design or testing processes, which have to be executed within an overall process structure according to the product structure. Our goal is to enable product-driven (i.e., data-driven) process modeling, execution and adaptation. We show the necessity of considering the product life cycle and the role of processes, which are triggering state transitions within the product life cycle. This paper discusses important issues related to the design, enactment and change of data-driven process structures. Our considerations are based on several case studies we conducted for engineering processes in the automotive industry.

Original language	English
Title of host publication	Business Process Management Workshops
Subtitle of host publication	BPM 2006 International Workshops, BPD, BPI, ENEI, GPWW, DPM, semantics4ws, Vienna, Austria, September 4-7, 2006. Proceedings
Editors	Johann Eder, Schahram Dustdar
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	179-190
Number of pages	12
ISBN (Electronic)	978-3-540-38445-8
ISBN (Print)	978-3-540-38444-1
DOIs	https://doi.org/10.1007/11837862_19
Publication status	Published - 4 Sept 2006
Event	International Workshop on Dynamic Process Management, DPM 2006 - Vienna, Austria Duration: 4 Sept 2006 → 4 Sept 2006

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	4103
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Workshop on Dynamic Process Management, DPM 2006
Abbreviated title	DPM
Country/Territory	Austria
City	Vienna
Period	4/09/06 → 4/09/06

Keywords

SCS-Services
Manufacturing
Mapping
Workflow
Architecture
Business process engineering
Business process management
Business process management systems
Business process modeling
Business process optimization
Business rules
Collaborative emergent processes
Complexity
Data model
Dynamic processes
Dynamic workflow

Access to Document

10.1007/11837862_19

Cite this

Muller, D., Reichert, M., & Herbst, J. (2006). Flexibility of Data-driven Process Structures. In J. Eder, & S. Dustdar (Eds.), Business Process Management Workshops: BPM 2006 International Workshops, BPD, BPI, ENEI, GPWW, DPM, semantics4ws, Vienna, Austria, September 4-7, 2006. Proceedings (pp. 179-190). (Lecture Notes in Computer Science; Vol. 4103). Springer. https://doi.org/10.1007/11837862_19

Muller, Dominic ; Reichert, Manfred ; Herbst, Joachim. / Flexibility of Data-driven Process Structures. Business Process Management Workshops: BPM 2006 International Workshops, BPD, BPI, ENEI, GPWW, DPM, semantics4ws, Vienna, Austria, September 4-7, 2006. Proceedings. editor / Johann Eder ; Schahram Dustdar. Berlin, Heidelberg : Springer, 2006. pp. 179-190 (Lecture Notes in Computer Science).

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abstract = "The coordination of complex process structures is a fundamental task for enterprises, such as in the automotive industry. Usually, such process structures consist of several (sub-)processes whose execution must be coordinated and synchronized. Effecting this manually is both ineffective and error-prone. However, we can benefit from the fact that these processes are correlated with product structures in many application domains, such as product engineering. Specifically, we can utilize the assembly of a complex real object, such as a car consisting of different mechanical, electrical or electronic subcomponents. Each sub-component has related design or testing processes, which have to be executed within an overall process structure according to the product structure. Our goal is to enable product-driven (i.e., data-driven) process modeling, execution and adaptation. We show the necessity of considering the product life cycle and the role of processes, which are triggering state transitions within the product life cycle. This paper discusses important issues related to the design, enactment and change of data-driven process structures. Our considerations are based on several case studies we conducted for engineering processes in the automotive industry.",

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year = "2006",

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day = "4",

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isbn = "978-3-540-38444-1",

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Muller, D, Reichert, M & Herbst, J 2006, Flexibility of Data-driven Process Structures. in J Eder & S Dustdar (eds), Business Process Management Workshops: BPM 2006 International Workshops, BPD, BPI, ENEI, GPWW, DPM, semantics4ws, Vienna, Austria, September 4-7, 2006. Proceedings. Lecture Notes in Computer Science, vol. 4103, Springer, Berlin, Heidelberg, pp. 179-190, International Workshop on Dynamic Process Management, DPM 2006, Vienna, Austria, 4/09/06. https://doi.org/10.1007/11837862_19

Flexibility of Data-driven Process Structures. / Muller, Dominic; Reichert, Manfred; Herbst, Joachim.
Business Process Management Workshops: BPM 2006 International Workshops, BPD, BPI, ENEI, GPWW, DPM, semantics4ws, Vienna, Austria, September 4-7, 2006. Proceedings. ed. / Johann Eder; Schahram Dustdar. Berlin, Heidelberg: Springer, 2006. p. 179-190 (Lecture Notes in Computer Science; Vol. 4103).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Herbst, Joachim

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N2 - The coordination of complex process structures is a fundamental task for enterprises, such as in the automotive industry. Usually, such process structures consist of several (sub-)processes whose execution must be coordinated and synchronized. Effecting this manually is both ineffective and error-prone. However, we can benefit from the fact that these processes are correlated with product structures in many application domains, such as product engineering. Specifically, we can utilize the assembly of a complex real object, such as a car consisting of different mechanical, electrical or electronic subcomponents. Each sub-component has related design or testing processes, which have to be executed within an overall process structure according to the product structure. Our goal is to enable product-driven (i.e., data-driven) process modeling, execution and adaptation. We show the necessity of considering the product life cycle and the role of processes, which are triggering state transitions within the product life cycle. This paper discusses important issues related to the design, enactment and change of data-driven process structures. Our considerations are based on several case studies we conducted for engineering processes in the automotive industry.

AB - The coordination of complex process structures is a fundamental task for enterprises, such as in the automotive industry. Usually, such process structures consist of several (sub-)processes whose execution must be coordinated and synchronized. Effecting this manually is both ineffective and error-prone. However, we can benefit from the fact that these processes are correlated with product structures in many application domains, such as product engineering. Specifically, we can utilize the assembly of a complex real object, such as a car consisting of different mechanical, electrical or electronic subcomponents. Each sub-component has related design or testing processes, which have to be executed within an overall process structure according to the product structure. Our goal is to enable product-driven (i.e., data-driven) process modeling, execution and adaptation. We show the necessity of considering the product life cycle and the role of processes, which are triggering state transitions within the product life cycle. This paper discusses important issues related to the design, enactment and change of data-driven process structures. Our considerations are based on several case studies we conducted for engineering processes in the automotive industry.

KW - SCS-Services

KW - Manufacturing

KW - Mapping

KW - Workflow

KW - Architecture

KW - Business process engineering

KW - Business process management

KW - Business process management systems

KW - Business process modeling

KW - Business process optimization

KW - Business rules

KW - Collaborative emergent processes

KW - Complexity

KW - Data model

KW - Dynamic processes

KW - Dynamic workflow

U2 - 10.1007/11837862_19

DO - 10.1007/11837862_19

M3 - Conference contribution

SN - 978-3-540-38444-1

T3 - Lecture Notes in Computer Science

SP - 179

EP - 190

BT - Business Process Management Workshops

A2 - Eder, Johann

A2 - Dustdar, Schahram

PB - Springer

CY - Berlin, Heidelberg

T2 - International Workshop on Dynamic Process Management, DPM 2006

Y2 - 4 September 2006 through 4 September 2006

ER -

Muller D, Reichert M, Herbst J. Flexibility of Data-driven Process Structures. In Eder J, Dustdar S, editors, Business Process Management Workshops: BPM 2006 International Workshops, BPD, BPI, ENEI, GPWW, DPM, semantics4ws, Vienna, Austria, September 4-7, 2006. Proceedings. Berlin, Heidelberg: Springer. 2006. p. 179-190. (Lecture Notes in Computer Science). doi: 10.1007/11837862_19

Flexibility of Data-driven Process Structures

Abstract

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Conference

Keywords

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