Sonia Mahendra Pol
Sonia Mahendra Pol has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Amit Joe Lopes
Industrial Manufacturing and Systems Engineering Department, University of Texas at El Paso, El Paso, USA
2 shared publications - Bhushan T. Patil
Father Conceicao Rodrigues College of Engineering
2 shared publications Aniket Rayte
Fr. Conceicao Rodrigues College of Engineering, Bandra, Mumbai, Maharashtra, India
1 shared publicationBhushan T. Patil
Fr. Conceicao Rodrigues College of Engineering, Bandra, Mumbai, Maharashtra, India
1 shared publicationKetaki N. Joshi
Fr. Conceicao Rodrigues College of Engineering, Bandra, Mumbai, Maharashtra, India
1 shared publication
Latest Publications
- Open Access
- 8 August 2024
- Published by EDP Sciences in E3S Web of Conferences
- Vol. 559, 04004
Analysis and Optimization of Transportation Logistics for Supply Chain Management of Perishable Goods using Monte Carlo Simulation
In the realm of intelligent transportation, the global logistics and supply chain industry grapples with the challenges of the transportation of perishable goods. This paper advocates for the optimization of perishable goods transportation through the application of Monte Carlo Simulation, a sophisticated tool to analyse traffic patterns and refine route selection. Targeting decision-makers, the study aims to unravel the intricate relationship between traffic dynamics, route choices, and product perishability. Historical traffic data, perishability rates, and route information are the basis for simulating the impact of traffic hours on goods perishing. The model actively seeks routes that minimise perished goods, employing Monte Carlo simulation to quantitatively assess the risks and benefits of various strategies. By presenting a data-driven framework, the research enhances supply chain efficiency, curbs losses of perished goods, and encourages the adoption of sustainable and intelligent transportation methods within the industry.
- 8 August 2024
- Published by EDP Sciences in E3S Web of Conferences
- Vol. 559, 04004
Open AccessAnalysis and Optimization of Transportation Logistics for Supply Chain Management of Perishable Goods using Monte Carlo Simulation
In the realm of intelligent transportation, the global logistics and supply chain industry grapples with the challenges of the transportation of perishable goods. This paper advocates for the optimization of perishable goods transportation through the application of Monte Carlo Simulation, a sophisticated tool to analyse traffic patterns and refine route selection. Targeting decision-makers, the study aims to unravel the intricate relationship between traffic dynamics, route choices, and product perishability. Historical traffic data, perishability rates, and route information are the basis for simulating the impact of traffic hours on goods perishing. The model actively seeks routes that minimise perished goods, employing Monte Carlo simulation to quantitatively assess the risks and benefits of various strategies. By presenting a data-driven framework, the research enhances supply chain efficiency, curbs losses of perished goods, and encourages the adoption of sustainable and intelligent transportation methods within the industry.