A rule-based methodology for generating and prioritizing feasible reorchestration scenarios in Manufacturing-as-a-Service
Publikationstyp
Conference Paper
Date Issued
2026-07
Sprache
English
Author(s)
Abdoune, Farah
Basarir, Feza
Filik, Halit
Noaptes, Mihai
Celik, Ahter
Artan, Ulas Can
Start Page
3274
End Page
3279
Citation
12th International Conference on Control, Decision and Information Technologies, CoDIT 2026
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
IEEE
ISBN of container
979-8-3195-2077-7
In Manufacturing-as-a-Service (MaaS) environments, disruptions such as machine breakdowns or supplier failures require rapid reorchestration of production across distributed internal and external resources. This task is challenging because recovery options must satisfy multiple operational constraints, including capacity, capability compatibility, lead time, cost, and managerial policies. While existing literature addresses service selection, optimization, simulation, and multi-criteria evaluation, the formal generation of feasible reorchestration scenarios under MaaS constraints remains insufficiently structured. This paper proposes a rule-based methodological framework for generating and prioritizing feasible reorchestration scenarios in MaaS disruption contexts. The approach combines disruption-response mapping, scenario construction rules, feasibility filtering, and multi-criteria prioritization based on operational performance indicators. A representative MaaS case study is used to validate the methodology under internal, external, and hybrid response configurations. The results show that the proposed method can systematically construct feasible recovery scenarios and transparently prioritize them according to decision-maker preferences.
Subjects
Cloud manufacturing
Decision-support
Digital enterprise
Manufacturing-as-a-service
Reorchestration
Servitization
DDC Class
658: General Managament