Comparative Process Efficiency Dataset: Global vs Local Automotive Supply Chains (2019–2024)

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Authors: Nachiketha Dinesh Vadgoor
Cited by: 0

Abstract

This dataset contains the consolidated KPI panel used in a comparative analysis of process efficiency and resilience-related performance in two major automotive OEMs over the period 2019–2024. The dataset includes publicly extracted annual delivery volumes, cost of sales (COGS), and inventory values, as well as computed KPI proxies including Days Inventory Outstanding (DIO), COGS per unit, and year-on-year delivery change. All variables are standardized for comparability across firms and years. The dataset is provided to ensure transparency, reproducibility, and independent verification of the reported empirical results. The archive includes the frozen dataset used for analysis and documentation of variable definitions and calculation logic.

Fields of Study & Subjects

Quality and Supply Management Supply Chain Resilience and Risk Management Supply Chain and Inventory Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
28 February 2026
Language
EN
Document type
Dataset