Abstract
In this research, a System of Systems (SoS) meta-architecture is conceptualized to design a digital platform-based system framework for the distribution of domestic workers to boost the crowd-sourced economy. While an Object Process Methodology (OPM) is used to articulate the relationships between the objects and functions, a Design Structure Matrix (DSM) has been applied to address the interactions between individual components to categorize them into subsystems to create the SoS architecture. This SoS architecture incorporates several Key Performance Attributes (KPAs) and Key Performance Parameters (KPPs) to systematically evaluate the meta-architectures. The Analytical Hierarchical Process (AHP), Pugh’s Evaluation Matrix, and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are employed to evaluate different levels of the system architecture. The most significant KPPs for each KPA can be used in modeling processes to estimate the system capability. These systems architecting and evaluation approaches, conducted using hypothetical data, distinguish critical factors and attributes of the SoS architecture for the domestic worker supplier system, offering structured insights into system design. Further validation with real-world data is necessary to assess its practical applicability and scalability of the model.
Recommended Citation
P. R. Dey et al., "A System of Systems (SoS) Meta-Architecture Approach to Design Digital Platform-based Domestic Worker Distribution System,", May 2025.
The definitive version is available at https://doi.org/10.21872/2025IISE_9120
Meeting Name
IISE Annual Conference & Expo 2025
Department(s)
Engineering Management and Systems Engineering
Second Department
Electrical and Computer Engineering
Keywords and Phrases
System of Systems, Domestic Worker, Digital Platform, Object Process Methodology, Decision Structure Matrix
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Publication Date
31 May, 2025
Included in
Electrical and Computer Engineering Commons, Finance and Financial Management Commons, Industrial Engineering Commons
