Designing a multi-objective nonlinear cross-docking location allocation model using genetic algorithm

Journal of Industrial Engineering International

مقاله 4، دوره 2، شماره 3، آذر 2006، صفحه 27-42   

نویسندگان

Ahmad Makui^{* 1}؛ Laleh Haerian²؛ Mahyar Eftekhar³

¹Assistant Professor, Dep. of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

²M.Sc., Dep. of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

³M.Sc., Dep. of Production and Operations Management, Chalmers University of Technology, Sweden

چکیده

In this study, a cross-docking system is designed at strategic and tactical levels. For making the strategic decisions, a multi-objective nonlinear location allocation model for cross-docks is presented based on a distri-bution location allocation model by Andreas Klose and Andreas Drexl. The model is further developed to in-clude the whole supply chain members and the objective functions are weighted by implementing AHP. A ge-netic algorithm solution is designed for sample cross-dock location allocation problems. In the tactical stage, model was further simulated under two different distribution strategies to decide on the tactical parameters. As an example, the performance of the model is verified.

کلیدواژه‌ها

Cross-docking؛ Cross dock؛ Transportation system؛ Supply chain design؛ Location Allocation؛ Genetic Algorithm؛ Multi-objective nonlinear model