Abstract
customer satisfaction is the main focus area in supply chain management and the distribution of goods plays a vital role in customer satisfaction. cost optimization and in time delivery leads to customer satisfaction. Optimization of Vehicle route plan is the method generally applied to deal it. such plans shall consider the minimization of pollution emissions. This paper proposes a optimization method to handle the vehicle routing problem(vrp). Genetic algorithm and fuzzy clustering algorithm are applied in the method.
Highlights
I.INTRODUCTIONChain management deals with flow of goods from supplier to customer
The importance of environmental issues is put into regulation by various governments, which potentially has a tangible impact on supply chain management
With the continuous development of commodity economy, it becomes important to process customer orders and deliver them via suitable freight vehicles. customer satisfaction is the main focus area in supply chain management. the distribution of goods plays a vital role in customer satisfaction
Summary
Chain management deals with flow of goods from supplier to customer. Vehicle Routing Problem (VRP) , a mode of transport, involves the formulation of a set of routes for a fleet of vehicles, starting and terminating at a depot and serving a set of customers with identified demands. Authors [12] introduced The vehicle routing problem (VRP). The importance of environmental issues is put into regulation by various governments, which potentially has a tangible impact on supply chain management. Due to this various researches are being done continuously on the interaction between logistics and environmental factors [18]. Customer satisfaction is the main focus area in supply chain management. Revised Manuscript received on September 04, 2021.
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