원문정보
초록
영어
A fuzzy random mixed 0-1 integer programming model of Combined Location Routing and Inventory Problem (CLRIP) has been developed in B2C E-Commerce distribution system. Demands of customers and distribution centers have been assumed to be fuzzy random variables. The expected value of fuzzy random variable and the possibilistic mean value method have been used to transform the fuzzy random variables into determined ones. Therefore, this fuzzy random model has been converted into deterministic. A two-stage heuristic algorithm based on Tabu Search (TS) has been designed for solving determined model. A numerical example has demonstrated the effectiveness of the model and algorithm.
목차
1. Introduction
2. FRV and its Expectation
3. Description and Modeling about CLRIP with FRV
3.1. Problem Description
3.2. Assumptions
3.3. Parameters and Notations
3.4. Decision Variables
3.5. Optimization Model of CLRIP
4. Deterministic Equivalent Form of CLRIP Model with FRV
4.1. Determination of Expected Shortage
4.2. Determination of the other Costs Expectations
4.3. Deterministic Equivalent Form of CLRIP Object Function
4.4. Deterministic Equivalent Forms of Constraints with FRVs
5. Solution Methodologies
5.1. Determination of the Optimal Values of rj and T
5.2. Heuristic Method
6. Computational Experiments
7. Conclusions
Acknowledgements
References
저자정보
참고문헌
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