کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
483285 | 1446204 | 2007 | 31 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Genetic algorithms for supply-chain scheduling: A case study in the distribution of ready-mixed concrete Genetic algorithms for supply-chain scheduling: A case study in the distribution of ready-mixed concrete](/preview/png/483285.png)
The coordination of just-in-time production and transportation in a network of partially independent facilities to guarantee timely delivery to distributed customers is one of the most challenging aspect of supply chain management. From a theoretical perspective, the timely production/distribution can be viewed as a hybrid combination of planning, scheduling and routing problems, each notoriously affected by nearly prohibitive combinatorial complexity. From a practical viewpoint, the problem calls for a trade-off between risks and profits. This paper focuses on the ready-mixed concrete delivery: in addition to the mentioned complexity, strict time-constraints forbid both earliness and lateness of the supply. After developing a detailed model of the considered problem, we propose a novel meta-heuristic approach based on a hybrid genetic algorithm combined with constructive heuristics. A detailed case study derived from industrial data is used to illustrate the potential of the proposed approach.
Journal: European Journal of Operational Research - Volume 177, Issue 3, 16 March 2007, Pages 2069–2099