When warehouses dream: a systems-informed exploration of Industry 5.0 principles in warehousing performance management
This study aims to help logistics managers design a comprehensive performance management methodology for Warehousing 5.0. It identifies essential key performance indicators for warehouses in the era of Industry 5.0 (KPIs-5.0), drawing from traditional practices, sustainability, resilience, and digitalisation. This framework combines both practical and theoretical aspects derived from a literature review and insights collected from 14 logistics specialists. It was developed through three focus groups viewed through a systems thinking perspective. Recognising the exploratory and framework-building nature of this research, the sample was chosen to prioritise context-rich, expert-driven insights rather than broad statistical generalisability. The performance of four warehouses was then evaluated using multi-criteria decision-making analysis with input from 10 logistics experts. Findings reveal that the Industry 5.0 dimension, focused on advanced technology and continuous improvement, was the most critical, with top-rated criteria including technology-based employee safety and management (0.110), continuous improvement (0.107), and mutual-cognitive human-robot collaboration (0.106). Traditional criteria such as space utilisation (0.122) and labour productivity (0.112) also remained important. The study emphasises the interconnectedness of strategic, operational, and technological decision-making areas in warehousing, positioning KPIs-5.0 as a systems-oriented performance assessment tool to support future-proof warehouse transformation.
Authors
- Bhavin Shah (ORCID: https://orcid.org/0000-0002-7129-5892)
- Gülay Demir (ORCID: https://orcid.org/0000-0002-3916-7639)
- Ahmed Mohammed (ORCID: https://orcid.org/0000-0002-8474-9208)
- Maryam Rahman (ORCID: https://orcid.org/0000-0003-3193-1273)
- Amer Alaya
Institutions
- Sivas Cumhuriyet Üniversitesi (TR)
- Birmingham City University (GB)
- University of Dubai (AE)
- Indian Institute of Management Ahmedabad (IN)
- Muscat College (OM)
- Mukhametzhan Tynyshbayev ALT University (KZ)
Publication Details
- Journal
- International Journal of Systems Science Operations & Logistics
- Published
- 2025-09-29
- DOI
- https://doi.org/10.1080/23302674.2025.2559257
- Citations
- 2
- Primary Topic
- Supply Chain Resilience and Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 4.45