Sole versus dual sourcing in stochastic lead-time (s,Q) inventory models
Management Science
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Multiple sourcing: The determination of lead times
Operations Research Letters
A Hybrid Approach to Designing Inbound-Resupply Strategies
IEEE Intelligent Systems
MamMoeT: An intelligent agent-based communication support platform for multimodal transport
Expert Systems with Applications: An International Journal
Sole versus dual sourcing under order dependent lead times and prices
Computers and Operations Research
Review article: A review of soft computing applications in supply chain management
Applied Soft Computing
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In this paper, a new methodology is suggested for determining the optimal mix of transport alternatives to minimize total logistics costs when goods are shipped from a supplier to a receiver. The total logistics costs comprise order costs, transportation costs and inventory costs. It is assumed that only a limited number of transport alternatives are capable of shipping the goods from the supplier to the receiver. Moreover, if a certain transport alternative is selected to ship the goods, then its entire capacity is used. These assumptions imply that the number of possible order quantities is finite and that the problem can be formulated as a combinatorial optimization problem. In a first step to explore the use of metaheuristics for optimization problems like these, an Evolutionary Algorithm is developed in this paper. The heuristic is tested on real-life problem instances.