Robust Inventory System Optimization Based on Simulation and Multiple Criteria Decision Making

Inventory management in retailers is difficult and complex decision making process which is related to the conflict criteria, also existence of cyclic changes and trend in demand is inevitable in many industries. In this paper, simulation modeling is considered as efficient tool for modeling of reta...

Full description

Saved in:
Bibliographic Details
Main Authors: Ahmad Mortazavi, Alireza Arshadi khamseh
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Modelling and Simulation in Engineering
Online Access:http://dx.doi.org/10.1155/2014/305120
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832567801171148800
author Ahmad Mortazavi
Alireza Arshadi khamseh
author_facet Ahmad Mortazavi
Alireza Arshadi khamseh
author_sort Ahmad Mortazavi
collection DOAJ
description Inventory management in retailers is difficult and complex decision making process which is related to the conflict criteria, also existence of cyclic changes and trend in demand is inevitable in many industries. In this paper, simulation modeling is considered as efficient tool for modeling of retailer multiproduct inventory system. For simulation model optimization, a novel multicriteria and robust surrogate model is designed based on multiple attribute decision making (MADM) method, design of experiments (DOE), and principal component analysis (PCA). This approach as a main contribution of this paper, provides a framework for robust multiple criteria decision making under uncertainty.
format Article
id doaj-art-775ba9969a4b4778bdaced4536a6d2c9
institution Kabale University
issn 1687-5591
1687-5605
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Modelling and Simulation in Engineering
spelling doaj-art-775ba9969a4b4778bdaced4536a6d2c92025-02-03T01:00:36ZengWileyModelling and Simulation in Engineering1687-55911687-56052014-01-01201410.1155/2014/305120305120Robust Inventory System Optimization Based on Simulation and Multiple Criteria Decision MakingAhmad Mortazavi0Alireza Arshadi khamseh1Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran 15719 14911, IranDepartment of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran 15719 14911, IranInventory management in retailers is difficult and complex decision making process which is related to the conflict criteria, also existence of cyclic changes and trend in demand is inevitable in many industries. In this paper, simulation modeling is considered as efficient tool for modeling of retailer multiproduct inventory system. For simulation model optimization, a novel multicriteria and robust surrogate model is designed based on multiple attribute decision making (MADM) method, design of experiments (DOE), and principal component analysis (PCA). This approach as a main contribution of this paper, provides a framework for robust multiple criteria decision making under uncertainty.http://dx.doi.org/10.1155/2014/305120
spellingShingle Ahmad Mortazavi
Alireza Arshadi khamseh
Robust Inventory System Optimization Based on Simulation and Multiple Criteria Decision Making
Modelling and Simulation in Engineering
title Robust Inventory System Optimization Based on Simulation and Multiple Criteria Decision Making
title_full Robust Inventory System Optimization Based on Simulation and Multiple Criteria Decision Making
title_fullStr Robust Inventory System Optimization Based on Simulation and Multiple Criteria Decision Making
title_full_unstemmed Robust Inventory System Optimization Based on Simulation and Multiple Criteria Decision Making
title_short Robust Inventory System Optimization Based on Simulation and Multiple Criteria Decision Making
title_sort robust inventory system optimization based on simulation and multiple criteria decision making
url http://dx.doi.org/10.1155/2014/305120
work_keys_str_mv AT ahmadmortazavi robustinventorysystemoptimizationbasedonsimulationandmultiplecriteriadecisionmaking
AT alirezaarshadikhamseh robustinventorysystemoptimizationbasedonsimulationandmultiplecriteriadecisionmaking