A practical approach to solving a newspaper logistics problem using a digital map
Computers and Industrial Engineering - Supply chain management
AllelesLociand the Traveling Salesman Problem
Proceedings of the 1st International Conference on Genetic Algorithms
Evolutionary Algorithms for the Vehicle Routing Problem with Time Windows
Journal of Heuristics
Hybrid genetic algorithm for multi-time period production/distribution planning
Computers and Industrial Engineering - Special issue: Selected papers from the 30th international conference on computers; industrial engineering
Efficient Production-Distribution System Design
Management Science
Vehicle Routing Problem with Time Windows, Part II: Metaheuristics
Transportation Science
A study of greedy, local search, and ant colony optimization approaches for car sequencing problems
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Expert Systems with Applications: An International Journal
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Many firms try separately to optimise their production and distribution functions, but such separation may limit the potential savings. Nowadays, it is more important to analyse these two functions simultaneously by trading off the costs associated with the whole. In this paper, a mixed integer linear programming model is constructed and a hybrid genetic algorithm is proposed incorporating several local optimisation techniques for production and distribution planning problems of single-period inventory products, with the aim of optimally coordinating and integrating the interrelated decisions of production sequencing and vehicle routing. Computational results on the various test problems demonstrate the capability of the proposed algorithm to obtain solutions that are very close to those obtained by the mathematical model for small problems and confirm the effectiveness of the integrated planning approach over the decoupled planning method in which vehicle routing is first developed and a production sequence is subsequently derived. Finally, an investigation is undertaken of the effects of the problem parameters on the effectiveness of the integrated planning approach through sensitivity analysis.