Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal International Journal of Supply Chain Management
Patro, Ravindra Kumar
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Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

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Transforming Agricultural Supply Chain with Advanced Technologies Patro, Ravindra Kumar; Choudhury, Shayan Roy; Patro, Janaki Prasad
International Journal of Supply Chain Management Vol 13, No 4 (2024): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v13i4.6251

Abstract

In a time of unprecedented technological advancement and increasing globalization, the complexities of Global Agricultural Supply Chains (GASC) are becoming more intense. This research paper explores the intricate interplay between advanced technologies, globalization forces, and the multifaceted challenges faced by GASC. By using a multidisciplinary approach that includes historical analysis, in- depth case studies, and speculative scenarios, this research uncovers important insights into how technology adoption, trade dynamics, and geopolitical events shape the resilience and sustainability of GASC. The findings show a positive link between technology adoption and agricultural productivity, while also highlighting concerns about job displacement and the digital divide. Additionally, the research emphasizes the importance of trade diversification and strong risk management strategies in mitigating disruptions caused by geopolitical instability. By providing practical recommendations for businesses, policymakers, and academics, this research contributes to a deeper understanding of how to navigate the complexities of GASC in an ever-changing global landscape.
Consolidation of Electrical Service Guidelines to Accelerate Fleet Electrification and Green Supply Chain in California Chandra, Subhash; Patro, Ravindra Kumar
International Journal of Supply Chain Management Vol 14, No 3 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i3.6310

Abstract

The transition to clean and green energy is inevitable just like the changes in global climate, the former being the consequence of the latter. Time is of essence here. The U.S. Government is also pushing the speedier adoption of electric vehicles (EVs) all across the country to handle the menace of emission. Urged by ambitious policies and propelled by generous investments in clean energy, California is leading the way to fleet electrification. The accelerated electrification of fleet in California, demands consolidation of electrical service guidelines, an important impediment to speedier transition. Replacement of fleet vehicles with similar vehicles that are significantly low on emission mark an important milestone for meeting the stringent emission targets set by the state. Though local in implementation, this program has global ramifications due to its capacity to aid other regions transition to vehicle electrification to meet such worldwide emission targets, as commitments made under the Paris Climate Agreement. This article identifies the obstacles to fleet electrification and recommends ways to consolidate electrical service guideline that can expedite the fleet electrification in California, a state that is a leader in green logistics, and hence promote green supply chain.
Predictive Analytics for Inbound Logistics: Optimizing Lead Times and Vendor Reliability Gupta, Vikas; Patro, Ravindra Kumar; Sharma, Aditya Kumar
International Journal of Supply Chain Management Vol 14, No 5 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i5.6348

Abstract

Lead time variability has significant impact on supply chain management (SCM) and is a critical factor that affects operational efficiency, cost management, and logistical aspects of a business. This coupled with vendor reliability is the key to quality assurance, waste reduction and cost rationalization. This article delves into the manner in which variations in lead time impact two important aspects of supply chain performance, lead time optimization and vendor management. The focus is on application of predictive analytics in this respect. The article underscores the strong potential that predictive analysis has in addressing the key threats and opportunities faced by modern supply chains. The key contribution of this research is addition to the pool of literature that covers the relatively less widely discussed areas - inbound logistics and the application of sophisticated modern technologies towards improvement of  supply chain visibility for enhancing efficiency of supply chain management. The article establishes that predictive analytics can be effectively used to facilitate data-driven decision-making in supplier management thus making decisions more proactive than reactive which significantly improves supply chain resilience.
Co-Authors Chandra, Subhash Choudhury, Shayan Roy Patro, Janaki Prasad Sharma, Aditya Kumar Vikas Gupta