A Layout Technique Considering Material Handling Aisles

A geometry constraint handling technique for stiffener layout optimization problem

Beam stiffeners have frequently been used for raising natural frequencies of base structures. In stiffener layout optimization problems, most of the previous researches considering the position and/or the length of the stiffener as design variables dealt with structures having just simple convex shapes such as a square or rectangle. The reason was because concave shape structures have difficult...

Track layout accommodating dynamic routing in automated material handling systems

Improving factory layout under a mixed floor and overhead material handling condition

Purpose – In spite of having a number of general-purpose algorithms for solving plant layout problems, facility planners may still face a challenging task to adjust these algorithms to handle special, but not uncommon, layout problems. The purpose of this study is to propose a new method for addressing the impact of overhead space utilization on a plant layout solution. Design/methodology/appro...

A Spine Layout Design Method For Semiconductor Fabrication Facilities Containing Automated Material Handling Systems

A bay configuration arranged along a central spine and served by an automated monorail material handling system are common designs for the layout and material handling system in new semiconductor wafer fabrication facilities. This paper investigates the facility design problem in semiconductor fabrication facilities and proposes a procedure to determine the optimal spine layout design given a d...

(r)evolution in Layout-planning a New Hybrid Genetic Algorithm to Generate Optimal Aisles in a Facility Layout

In the desgin-process of a facility layout, the focus has been mainly on the placement of the machine resources. The material-ow, and therefore the desgin of the aisles has not appropriately been taken into account. We developed a hybrid genetic algorithm (GA) to generate the aisles in a facility layout at minimal xed and variable cost. The application of the GA to a practical problem leads to ...