Supply Chain Resilience and Operational Performance: A Conceptual Study of Digital Integration, Agility, and Risk Management
Abstract Demand volatility, uncertainty from suppliers, shorter product life cycles, transport disruptions, technology reliance and service expectations are challenges that operations and supply chains are struggling with. In such a case, efficiency is not the only key to continuity or to customer service. This conceptual research paper explores the relationship between supply chain integration, digital information capability, visibility, agility and resilience, and how they all can impact operational performance. The study consolidates the existing literature on operations and supply chain management and puts together a framework to be tested in the future. The review suggests that information sharing and cross functional integration can enhance visibility and coordination, digital analytics can increase the ability to sense and support decisions, agility to increase short-term responsiveness, and resilience to increase preparedness, continuity, recovery, and adaptation. Operational performance is viewed as a multi-faceted result with delivery reliability, inventory effectiveness, cost, flexibility, customer service and recovery capability. The paper suggests research propositions and implications for practical application of the following: Supplier collaboration, Multi-sourcing, Data Governance, Scenario Planning, Exception-based management, Balanced performance measurement. Is based on the literature and not on fabricated primary survey data. The term operations management is used to describe the various analytical and management approaches employed to enhance the performance of a business's operations.Operations management is a term used to refer to the different analytical and management techniques that are used to improve the performance of the operations of a business.
Authors
- Patole Gitanjali Hanumant
- Vidhate Uddhav Ashok
Institutions
- Government of India (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-31
- DOI
- https://doi.org/10.5281/zenodo.23790926
- Primary Topic
- Supply Chain Resilience and Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00