Performance Prediction and Analysis of Quality of Services for Cross-Organizational Workflows

Tan, Wenan; Li, Leer; Sun, Yong

doi:10.1109/icebe.2014.34

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…(1) Most workflow models focus on the process perspective and neglect the organizational perspective [17,18]. (2) Workflow analysis is aimed at the verification of reliability and validity [19][20][21], while research on quantitative performance analysis is less likely to be aimed at such a verification [22,23].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Comparison of Role-Based Interorganizational Workflows for a Construction Project

et al. 2019

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The implementation process of construction projects is an iterative process of continuous modification and improvement among participant organizations. Traditional workflow analysis methods for a single organization are not suitable for the analysis of such implementation processes. Therefore, an interorganizational workflow analysis method based on organizational roles and associated with their collaborative relationships is required. In this study, a role-based interorganizational workflow model for participant organizations is developed, in which it is assumed that interoperability has a loosely coupled form for temporary multi-organizations. The Fuzzy Analytic Hierarchy Process (FAHP) is applied to determine the parameters of the correlation between interorganizational workflows, which includes downstream sensitivity and the probability of change. Furthermore, according to workflow interactions between organizations, an analysis model of interorganizational workflow is developed by using the Design Iteration Model for reference to analyze the time performance of participant organizations. Additionally, two forms of interorganizational workflow are compared and analyzed. Some suggestions are put forward to improve interorganizational workflow management and reduce the total time taken to complete the workflow processing of each organization (T) and the total time spent on the interorganizational workflow process (effort, E). This research may help strengthen interorganizational workflow management and enrich the workflow modeling theory.

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