Journal of Global Optimization
A global optimum search algorithm for the joint replenishment problem under power-of-two policy
Computers and Operations Research
A differential evolution approach for the common due date early/tardy job scheduling problem
Computers and Operations Research
A genetic algorithm for joint replenishment based on the exact inventory cost
Computers and Operations Research
Expert Systems with Applications: An International Journal
A novel differential evolution algorithm for bi-criteria no-wait flow shop scheduling problems
Computers and Operations Research
Spare parts inventory control considering stochastic growth of an installed base
Computers and Industrial Engineering
An evolutionary algorithm to solve the joint replenishment problem using direct grouping
Computers and Industrial Engineering
The criticality of spare parts evaluating model using artificial neural network approach
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
SVR-based method forecasting intermittent demand for service parts inventories
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Expert Systems with Applications: An International Journal
Model and algorithm of fuzzy joint replenishment problem under credibility measure on fuzzy goal
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
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There has been much work in establishing joint replenishment model and designing effective and robust algorithms. Little research has been done by direct grouping methods. In this paper, we present a differential evolution (DE) algorithm that uses direct grouping to solve joint replenishment problem (JRP). Extensive computational experiments are performed to compare the performances of the DE algorithm with results of evolutionary algorithm (GA). The experimental results indicate that the DE algorithm can find a replenishment policy that incurs a lower total cost than the GA. We also conducted a case study to test the proposed DE algorithm for the JRP. The findings suggest that the proposed model is successful in decreasing spare parts ordering costs and holding costs significantly in a power plant. © 2012 Wiley Periodicals, Inc.