Paper Type
Complete
Abstract
Modern supply chains require coordinated decisions across strategy, network design, tactical planning, and operations, yet these layers often rely on inconsistent data models, KPIs, and constraints. The design science study proposes an Information Systems Conversion Framework (ISCF) that aligns decision layers through explicit semantic mappings, horizon-aware conversion rules, and governance for traceability. ISCF couples a conversion engine with a decision model that combines dynamic simulation and constrained optimization to translate policies, plans, and operational controls across time horizons. We derive design principles from alignment, digital twin, and hierarchical control literature, instantiate ISCF as an architecture and rule taxonomy, and evaluate it through simulation-based comparative scenarios in a multi-echelon disruption setting. The results provide preliminary utility evidence of improved feasibility, responsiveness, and accountability relative to a baseline integration-only configuration.
Paper Number
1058
Recommended Citation
Becklines, Lordt and El-Gayar, Omar, "Designing an Information Systems Conversion Architecture for Multi‑Level Supply Chain Decision Alignment: A Design Science Study" (2026). AMCIS 2026 Proceedings. 1.
https://aisel.aisnet.org/amcis2026/ent_system/sig_entsys/1
Designing an Information Systems Conversion Architecture for Multi‑Level Supply Chain Decision Alignment: A Design Science Study
Modern supply chains require coordinated decisions across strategy, network design, tactical planning, and operations, yet these layers often rely on inconsistent data models, KPIs, and constraints. The design science study proposes an Information Systems Conversion Framework (ISCF) that aligns decision layers through explicit semantic mappings, horizon-aware conversion rules, and governance for traceability. ISCF couples a conversion engine with a decision model that combines dynamic simulation and constrained optimization to translate policies, plans, and operational controls across time horizons. We derive design principles from alignment, digital twin, and hierarchical control literature, instantiate ISCF as an architecture and rule taxonomy, and evaluate it through simulation-based comparative scenarios in a multi-echelon disruption setting. The results provide preliminary utility evidence of improved feasibility, responsiveness, and accountability relative to a baseline integration-only configuration.
Comments
SIG ENTSYS