Indexed by:
Abstract:
Stakeholder Value Networks (SVN) is a method for identifying and prioritizing stakeholders and their associated requirements in complex engineering systems. Academics and companies have made great strides in the theoretical research and case studies of constructing the Stakeholder Value Networks Model (SVNM). However, most of the developed cases lack a modularized, scalable and traceable construction method to codify SVNM for stakeholders and requirements prioritization, which leads to problems such as low reuse rate of the model elements, poor configuration flexibility and lack of ability to connect with the analysis platform and system model. To address these issues, we propose a construction method of the SVNM based on Model-Based Systems Engineering (MBSE) from the perspective of model reusability, consistency and continuity. In this method, a SVNM is gradually constructed by using the MBSE modeling method "ARCADIA", the MBSE modeling software "Capella" and some open-source add-ons. The model includes two steps of the mapping and quantifying in SVN method and can be connected to an analysis platform named Dependency Structure Matrix (DSM) modelling platform to implement the remaining steps of searching and analyzing. Furthermore, the results of the search and analysis can be used to prioritize stakeholders and requirements and recorded in the MBSE environment by modeling Stakeholder Requirements (SHRs). Then, we demonstrate the applicability of this method based on a case study of Robotic Vertical Farming Systems (RVFS). Finally, the RVFS-SVNM are modeled and analyzed in ARCADIA/ Capella and DSM modeling platform, and the RVFS-SHRs are recorded in ARCADIA/Capella. The method can enable the prioritization of stakeholders and requirements to trace the entire system model and drive requirements engineering toward Model-Based Requirements Engineering (MBRE).
Keyword:
Reprint Author's Address:
Email:
Source :
COMPUTERS & INDUSTRIAL ENGINEERING
ISSN: 0360-8352
Year: 2024
Volume: 195
7 . 9 0 0
JCR@2022
Cited Count:
SCOPUS Cited Count: 2
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 6
Affiliated Colleges: