Optimal Transportation System & Resilience: A Study Of Sindhudurg District Cashew Industry

Document Type : Primary Research paper


1 Assistant Professor, Lala Lajpatrai Institute of Management

2 Head of Department and Assistant Professor, Lala Lajpatrai Institute of Management


Value chains have increased in intricacy and length in recent decades as firms prepare to
tackle expanding globalisation with increased peripheral advancements.This involves the
adoption of leaner supply chains as well as the formation of ecosystems that provide a
stable environment and a constant flow of operations. However, because disruptions are
inevitable in today's world, the operational models must be tuned to handle any
risks.Complex production networks are designed for a variety of reasons, including cost,
proximity to markets, and mass standardisation, but not necessarily for transparency or
resilience. Any organization's supply chain operations can be a cause of vulnerability or
resilience, depending on its capacity to assess risks, adopt risk mitigation methods, and
develop effective business continuity plans. Transportation is the most important
component in value chains, and transportation resilience is critical in recovering
production networks through precise scheduling and achieving resilience indicators such
as lowest trip time, minimum cost, and route optimization, among others.
The goal of this research is to clarify the key issues in network restoration scheduling and
to offer a unique resilience-based optimization model for post-disaster transportation
network restoration, in order to clear up theoretical and empirical ambiguity.Cashew
industry which is seasonal as well as face many disruptions in production and processing
stages was considered for the study.The study's objectives are (a) Study resilience indexes
and its influence on transportation system optimization and (b)Study influence of
resilience indexes on industry-based challenges with cashew product.The study objectives
were addressed utilising an optimization model based on OR techniques and computer
programming.The ideal solution for transportation cost, time, and efficiency can be
obtained with the least amount of adjustment and analysis time, allowing cashew farmers
to take advantage of transportation resilience and earn financial and environmental