Integrating deterioration and lifetime constraints in production and supply chain planning: A survey

An application of Genetic Algorithm in solving an inventory model with advance payment and interval valued inventory costs

https://pure.tue.nl/ws/files/3896136/722418206798216.pdf

A two-echelon inventory model for a deteriorating item with stock-dependent demand, partial backlogging and capacity constraints

Preface. 1. Introduction. 2. Foundations of Genetic Algorithms. 3. Genetic Algorithms for 0-1 Programming. 4. Fuzzy Multiobjective 0-1 Programming. 4. Fuzzy Multiobjective 0-1 Programming. 5. Genetic Algorithms for Integer Programming. 6. Fuzzy Multiobjective Integer Programming. 7. Genetic Algorithms for Nonlinear. 8. Fuzzy Multiobjective Nonlinear Programming. 9. Genetic Algorithms for Job-Shop Scheduling. 10. Fuzzy Multiobjective Job-Shop Scheduling. 11. Some Applications. References. Index.

Genetic algorithms and fuzzy multiobjective optimization

An application of real-coded genetic algorithm (RCGA) for mixed integer non-linear programming in two-storage multi-item inventory model with discount policy

The purpose of this research is to discuss an application of real-coded Genetic Algorithm (RCGA) for mixed integer non-linear programming in a two-warehouses inventory control problem. Our objective is to determine an optimal replenishment number, lot-size of a two-warehouse (owned and rented warehouse (RW)) inventory system for deteriorating items removing the impractical assumption regarding the storage capacity of RW. The model is formulated with infinite replenishment, finite planning horizon, linearly time dependent demand (increasing) and partially backlogged shortages. The mathematical formulation of the problem indicates that the model is a constrained non-linear mixed integer problem with one integer and one non-integer variables. To solve this problem, we develop a RCGA with ranking selection, whole arithmetic crossover and mutation (uniform mutation for integer variable and non-uniform for non-integer variable). The proposed model has been solved using this RCGA and illustrated with four numeri...

An application of real-coded genetic algorithm (for mixed integer non-linear programming in an optimal two-warehouse inventory policy for deteriorating items with a linear trend in demand and a fixed planning horizon)

Asoke Kumar Bhunia

Papers

An application of real-coded genetic algorithm (for mixed integer non-linear programming in an optimal two-warehouse inventory policy for deteriorating items with a linear trend in demand and a fixed planning horizon)