کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6479141 1362757 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimized flowshop scheduling of multiple production lines for precast production
ترجمه فارسی عنوان
برنامه ریزی جریان بهینه سازی خطوط تولید چندگانه برای تولید پیش ساخته
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
چکیده انگلیسی


- A Flowshop Scheduling Model of Multiple production lines for Precast production (MP-FSM) was established.
- An optimized scheduling approach was then proposed based on the MP-FSM by using Genetic Algorithm (GA).
- In the approach, frequent type change of components during production can be avoided.
- In the approach, the allocation of the shared resources (such as molds and production pallets) can be traded off.
- The approach was validated preliminarily though several comparative experiments with a widely used scheduling system.

The current approach in practice to produce the flowshop schedules of precast production is the dispatching rule technique, which does not guarantee optimal schedules. Some researchers have developed models for a single production line to optimize the scheduling, in which Genetic Algorithm (GA) is used to obtain the solution. However the models cannot be used for multiple production lines. Moreover, some optimization constraints and objectives were missing in the models, such as avoiding frequent type change of precast components during production. Both issues hinder their work to be applied to real precast plants. To overcome the problem, this paper proposes a Flowshop Scheduling Model of Multiple production lines for Precast production (MP-FSM) and develops a corresponding optimization approach to facilitate optimized scheduling by using GA. The approach was validated preliminarily by comparing with traditional scheduling approaches. The results demonstrated that optimized schedules can be obtained by using the proposed approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Automation in Construction - Volume 72, Part 3, December 2016, Pages 321-329
نویسندگان
, , ,