Synthetic Computational Dataset for a Digital-Twin-Ready QFD-MCDM Decision Architecture: HOQ Matrices, BWM Vectors, DEMATEL Influence Matrices, Disruption Simulation and Digital-Twin Readiness KPI Definitions

Description

This dataset contains the full synthetic computational data generated and used to demonstrate the four-layer, digital-twin-ready decision architecture proposed in the associated manuscript. The dataset supports end-to-end verification of the computational step-through presented in Section 3 of the manuscript, comprising the following components: (1) House of Quality (HOQ) relationship matrix — customer requirements mapped to logistics-centre design requirements, with importance weights and relationship scores. (2) Best-Worst Method (BWM) pairwise comparison vectors and optimal weight computations for the design requirement criteria. (3) DEMATEL direct-influence matrix, normalised total-influence matrix, and prominence/relation axis results used for causal interdependency classification. (4) Three-period Sequence Deviation Velocity (SDV) disruption simulation, including the threshold-violation event that triggers automated re-weighting of criteria and re-ranking of service-packet alternatives. (5) Digital-twin readiness KPI formula definitions, event-trigger rules and scenario logic specifications. No proprietary operational data from any named industrial organisation is included. The dataset is intended to allow independent verification and reuse of the computational demonstrations in the manuscript. All files are deposited under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence.

Institutions

• Piri Reis University

  Istanbul, Istanbul

Categories

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