P. Parthiban

According to our database1, P. Parthiban authored at least 14 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
An integrated Fuzzy MCDM approach for modelling and prioritising the enablers of responsiveness in automotive supply chain using Fuzzy DEMATEL, Fuzzy AHP and Fuzzy TOPSIS.
Soft Comput., 2023

2022
Implementation of lean and green supply chain in medium scale automobile industries using AHP, VIKOR and fuzzy VIKOR.
Int. J. Bus. Inf. Syst., 2022

2021
A combined big data analytics and Fuzzy DEMATEL technique to improve the responsiveness of automotive supply chains.
J. Ambient Intell. Humaniz. Comput., 2021

2020
Multi-depot vehicle routing problem based on customer satisfaction.
Int. J. Serv. Technol. Manag., 2020

Data analytics for relative ranking of factors to optimise blood bank supply chain.
Int. J. Math. Oper. Res., 2020

2019
A hybrid metaheuristics approach for a multi-depot vehicle routing problem with simultaneous deliveries and pickups.
Int. J. Math. Oper. Res., 2019

2018
Maximizing the Network Life Time Based on Energy Efficient Routing in Ad Hoc Networks.
Wirel. Pers. Commun., 2018

Selection of Transportation Channels in Closed-Loop Supply Chain Using Meta-Heuristic Algorithm.
Int. J. Inf. Syst. Supply Chain Manag., 2018

2011
A strategic model using structural equation modeling and fuzzy logic in supplier selection.
Expert Syst. Appl., 2011

2010
Optimization of Multiple Vehicle Routing Problems using Approximation Algorithms
CoRR, 2010

2009
Artificial Intelligence Heuristic for Combinatorial Routing Problem.
J. Inf. Technol. Res., 2009

Genetic Algorithm to Solve Multi-Period, Multi-Product, Bi-Echelon Supply Chain Network Design Problem.
Int. J. Inf. Syst. Supply Chain Manag., 2009

A model for selection of suppliers by comparison of two clustering algorithms.
Int. J. Appl. Decis. Sci., 2009

A hybrid model for sourcing selection with order quantity allocation with multiple objectives under fuzzy environment.
Int. J. Appl. Decis. Sci., 2009


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