원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.8 No.4
2015.04
pp.123-134
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
A fuzzy random model of Combined Location Routing and Inventory Problem (CLRIP) has been presented with continuous review inventory policy in B2C distribution environment for the first time. Demands of customers and distribution centers are uncertain and have been assumed to be fuzzy random variables. To solve the model, first the expected value of fuzzy random variable and the possibilistic mean value have been used to convert the fuzzy random variables to crisp ones. A mythology has been designed for solving determined model. A numerical example has demonstrated the effectiveness of the model and algorithm.
목차
Abstract
1. Introduction
2. Description and Modeling about CLRIP with Fuzzy Random Variables
2.1 Problem Description and Assumption
2.2. Parameters and Notations
2.3. Decision Variables
2.4. Optimization Model of CLRIP
3. Solution Methodologies
3.1 Deterministic Equivalent
3.2 Determination of the Optimal Values of Qj and rj
3.3 Heuristic Method
4. Computational Experiments
5. Conclusions
Acknowledgements
References
1. Introduction
2. Description and Modeling about CLRIP with Fuzzy Random Variables
2.1 Problem Description and Assumption
2.2. Parameters and Notations
2.3. Decision Variables
2.4. Optimization Model of CLRIP
3. Solution Methodologies
3.1 Deterministic Equivalent
3.2 Determination of the Optimal Values of Qj and rj
3.3 Heuristic Method
4. Computational Experiments
5. Conclusions
Acknowledgements
References
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