Paper Info
Title
A Fuzzy-Based Integrated Framework For Monitoring Stochastic Demand In A Supply Chain Environment
Abstract
This paper develops a Fuzzy-based Integrated Framework (FIF) that responds to the risk of fluctuating demand in a supply chain environment. It is a hybrid framework based on the fuzzy based stochastic demand model and the integrated processes of supply chain in enterprise resource planning (ERP) environment. This proposed FIF can be used to adjust the rate of change of demand based on fuzzy system reasoning, supported by real time inputs of the specific parameters and control data using integrated supply chain processes/models in ERP system environment. Based on a cost effective approach, this framework minimizes the total cost comprising inventory and stock-out costs. Using a case study, we validate the proposed integrated framework in actual industrial settings and discuss the practical importance for supply chain management in responding to uncertainties inherited in the operational environment.
Year
DOI
Venue
2011
10.1109/IEEM.2011.6117880
2011 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM)
Keywords
Field
DocType
Integrated processes, stochastic demand, supply chain management, Fuzzy logic model
Service management,Enterprise resource planning,Systems engineering,Fuzzy logic,Fuzzy set,Supply chain management,Supply chain,Fuzzy control system,Engineering,Total cost,Operations management
Conference
ISSN
Citations 
PageRank 
2157-3611
1
0.37
References 
Authors
1
3
Name
Order
Citations
PageRank
Henry C. W. Lau130133.27
Premaratne Samaranayake2194.11
Dilupa Nakandala3378.04