Supply Chain Automation: A Path to Operational Excellence and Sustainability

Supply Chain Automation: A Path to Operational Excellence and Sustainability

Deepika Nathany
Manager, Specialized Services
Email: deepikanathany@gmail.com

Abstract

Supply chain automation represents an essential approach for attaining operational excellence while strengthening resilience and sustainability across global logistics. The paper integrates research from over 100 peer-reviewed studies and industry reports published through 2020 to explore how automation technologies are applied across supply chain functions along with their benefits and challenges. Automation includes multiple technologies such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and the Internet of Things (IoT). The implementation of these technologies extends to warehouse management along with inventory control, demand forecasting, logistics optimization and additional essential sectors as identified by Atzori et al., 2017 and Choi et al., 2018 and Fosso Wamba et al., 2018.

Studies on automated systems demonstrate enhancements in operations through productivity increases of 20% to 30% and substantial cost savings (Frank et al., 2019; Lacity & Willcocks, 2016). The implementation of AI-driven demand forecasting methods can cut forecast errors down by 50%, which leads to better inventory management and lower carrying costs (Tiwari et al., 2019). The integration of automated warehouse systems with autonomous mobile robots (AMRs) and automated guided vehicles (AGVs) results in faster and more precise order fulfillment while cutting labor costs according to Zhong et al. (2017).

Automation adoption faces obstacles such as significant upfront costs to implement systems and challenges integrating new solutions with existing legacy infrastructures while requiring specialized technical expertise (Strandhagen et al., 2017). Ethical issues surrounding AI decision-making in supply chains and job displacement potential continue to gain recognition as important concerns (Ghobakhloo, 2018). The research explores the role of automation in developing resilient supply chains which have gained significance after global disruptions like COVID-19 (Ivanov & Dolgui, 2020). Through their findings researchers, practitioners and policymakers can gain important information about supply chain automation's benefits and challenges which forms a basis for well-informed technology adoption strategies.

Keywords
Supply Chain Automation, Artificial Intelligence, Machine Learning, Robotic Process Automation, Internet of Things, Warehouse Automation, Demand Forecasting, Logistics Optimization, Supply Chain Resilience

DOI: 10.55041/IJSREM8770