دانلود مقاله ISI انگلیسی شماره 46799
عنوان فارسی مقاله

برنامه ریزی متعدد در اسکله ها با استفاده از دو الگوریتم متاهیوریستیک

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
46799 2014 10 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Multiple cross-docks scheduling using two meta-heuristic algorithms ☆
منبع

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

Journal : Computers & Industrial Engineering, Volume 74, August 2014, Pages 129–138

کلمات کلیدی
برنامه ریزی متعدد در اسکله ها - بازپخت شبیه سازی شده - الگوریتم کرم شب تاب - طراحی تجربی
پیش نمایش مقاله
پیش نمایش مقاله برنامه ریزی متعدد در اسکله ها با استفاده از دو الگوریتم متاهیوریستیک

چکیده انگلیسی

This paper considers a truck scheduling problem in a multiple cross docks while there is temporary storage in front of the shipping docks. Receiving and shipping trucks can intermittently move in and out of the docks during the time intervals between their task execution, in which trucks can enter to any of the cross docks. Thus, a mixed-integer programming (MIP) model for multiple cross docks scheduling is developed inspired by models in the body of the respective literature. Its objective is to minimize the total operation time or maximize the throughput of the cross-docking system. Moreover, additional concepts considered in the new method is multiple cross docks with a limited capacity. In this study, there are two types of delay times. The first type occurs when there is a shipping truck change and the second one occurs when the current shipping truck does not load any product from a certain receiving truck or temporary storage and waits until its needed products arrive at the shipping docks. To solve the developed model, two meta-heuristics, namely simulated annealing (SA) and firefly algorithms (FA), are proposed. In addition, a procedure for trucks scheduling in a state of a constant discrete firefly algorithm for the discrete adaptation has been proposed. The experimental design is carried out to tune the parameters of algorithms. Finally, the solutions obtained by the proposed SA and FA are compared.

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