Paper Info
Title
Artificial bee colony optimization-inspired synergetic study of fractional-order economic production quantity model
Abstract
Inventory control is one of the most widely recognized issues in the reality. This investigation manages the utilization of fractional derivatives and integration on an inventory control problem. The memory of a dynamical model is a highly concerned issue which is commonly neglected by the models described in terms of integer-order differential equation. The memory capturing the power of fractional derivative (in Caputo's sense) is utilized here to describe an economic production quantity model with deterioration when the demand depends on price and stock and production is stock dependent. Also, this study covers the integer-order model with the same assumptions as a memoryless model and a particular case of the fractional model. Due to the complex nature of the model, numerical optimization with the help of a modified artificial bee colony algorithm is done instead of the analytical approach of optimization. Finally, we have performed a sensitivity analysis in order to make a fruitful conclusion.
Year
DOI
Venue
2020
10.1007/s00500-020-04867-y
SOFT COMPUTING
Keywords
DocType
Volume
Fractional-order differential equation,EPQ model,Laplace transformation,ABC algorithm
Journal
24.0
Issue
ISSN
Citations 
20.0
1432-7643
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Mostafijur Rahaman100.34
Sankar Prasad Mondal2126.24
Ali Akbar Shaikh34112.90
Prasenjit Pramanik400.34
Samarjit Roy531.39
Manas Kumar Maiti623620.68
Rituparna Mondal700.34
Debashis De816233.18