A heuristic algorithm based on an improvement strategy to exploit idle time periods for the Stacking Problem
نویسندگان
چکیده
In this paper, we address the Stacking Problem. Its objective is to determine the sequence of movements carried out by a stacking crane to store and retrieve a set of homogeneous blocks in a two-dimensional storage during a well-defined planning horizon in such a way that the number of relocation movements is minimized. We propose a heuristic algorithm that determines the target stack of each incoming block and those placed above the next to retrieve. Our heuristic algorithm also exploits the time periods in which the stacking crane is idle with the goal of improving its performance. The computational experiments reveal that our heuristic algorithm overcomes those approaches found in the related literature in terms of number of crane relocation movements. Its high performance and short computational times encourage its application in real-world environments. 2015 Elsevier Ltd. All rights reserved.
منابع مشابه
An Efficient Genetic Algorithm for Task Scheduling on Heterogeneous Computing Systems Based on TRIZ
An efficient assignment and scheduling of tasks is one of the key elements in effective utilization of heterogeneous multiprocessor systems. The task scheduling problem has been proven to be NP-hard is the reason why we used meta-heuristic methods for finding a suboptimal schedule. In this paper we proposed a new approach using TRIZ (specially 40 inventive principles). The basic idea of thi...
متن کاملAn Efficient Genetic Algorithm for Task Scheduling on Heterogeneous Computing Systems Based on TRIZ
An efficient assignment and scheduling of tasks is one of the key elements in effective utilization of heterogeneous multiprocessor systems. The task scheduling problem has been proven to be NP-hard is the reason why we used meta-heuristic methods for finding a suboptimal schedule. In this paper we proposed a new approach using TRIZ (specially 40 inventive principles). The basic idea of thi...
متن کاملModeling the Time Windows Vehicle Routing Problem in Cross-Docking Strategy Using Two Meta-Heuristic Algorithms
In cross docking strategy, arrived products are immediately classified, sorted and organized with respect to their destination. Among all the problems related to this strategy, the vehicle routing problem (VRP) is very important and of special attention in modern technology. This paper addresses the particular type of VRP, called VRPCDTW, considering a time limitation for each customer/retai...
متن کاملAn Analytical Approach for Single and Mixed-Model Assembly Line Rebalancing and Worker Assignment Problem
In this paper, an analytical approach is used for assembly line rebalancing and worker assignment for single and mixed-model assembly lines based on a heuristic-simulation algorithm. This approach helps to managers to select a better marketing strategy when different combinations of demands are suitable.Furthermore, they can use it as a guideline to know which worker assignment is better for ea...
متن کاملNo-idle time Scheduling of Open shops: Modeling and Meta-heuristic Solution Methods
In some industries as foundries, it is not technically feasible to interrupt a processor between jobs. This restriction gives rise to a scheduling problem called no-idle scheduling. This paper deals with scheduling of no-idle open shops to minimize maximum completion time of jobs, called makespan. The problem is first mathematically formulated by three different mixed integer linear programming...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Computers & Industrial Engineering
دوره 87 شماره
صفحات -
تاریخ انتشار 2015