دانلود مقاله ISI انگلیسی شماره 89541
ترجمه فارسی عنوان مقاله

هماهنگ سازی وسایل نقلیه برای حمل و نقل چند منظوره و یک محموله

عنوان انگلیسی
Synchronizing vehicles for multi-vehicle and one-cargo transportation
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
89541 2018 29 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Computers & Industrial Engineering, Volume 119, May 2018, Pages 36-49

ترجمه کلمات کلیدی
مدیریت تدارکات، مشکل مسیریابی خودرو حمل و نقل محموله بزرگ، هماهنگ سازی، الگوریتم ژنتیک،
کلمات کلیدی انگلیسی
Logistics management; Vehicle routing problem; Big-size cargo transportation; Synchronization; Genetic algorithm;
پیش نمایش مقاله
پیش نمایش مقاله  هماهنگ سازی وسایل نقلیه برای حمل و نقل چند منظوره و یک محموله

چکیده انگلیسی

In ship manufacturing and big-size cargo transportation, several flat vehicles are usually cooperated to transport one big-size ship segment or cargo, namely “multi-vehicle and one-cargo transportation” (MVOC). It is distinctly different from general transportation scenarios where a vehicle is used to load and transport several cargos, namely “one-vehicle and multi-cargo transportation” (OVMC). The MVOC generates the difficulty in synchronizing several vehicles for transporting a cargo. A mathematical program that can be solved by existing mixed-integer linear program solver is formulated, by considering the synchronization constraint among the unit-load flat vehicles under the minimization of makespan. To improve the computation performance of the solution methods, a sequential insert algorithm is developed as the basic procedure for a greedy insert algorithm and as the decoding scheme of a proposed genetic algorithm. These three methods (the mathematical program, the greedy insert algorithm and the genetic algorithm) are compared by numerical studies considering the effects of instance scales and synchronization complexity on the optimality and computation performances. The genetic algorithm performed better for solving small- and medium-scale instances with lower complexity, and the greedy insert algorithm is very fast and suitable for solving large-scale and complex instances.