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Hsieh and Sha (1996) introduced the idea of concurrent design of machine layouts and AGV guide paths to minimize the number of loops in tandem layout to minimize the need for transfer the loads between the loops.
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The simple man-machine model provides a convenient way for organizing some of the major concerns of human engineering: the selection and design of machine displays and controls; the layout and design of workplaces; design for maintainability; and the work environment.
The suggested approach is finally applied to the re-design of an actual grinding machine column, on which the numerical analyses and experimental tests conducted exemplify the performance enhancement, and therefore is a good choice for the stiffener layout design of machine tool structures.
In this paper we present the prototype of a decision support system for logical layout design of machining systems.
In this section, the SDFLP is formulated by a new QAP-based mathematical model to design the dynamic machine layout.
When the workpiece material and machined surface error specification is known, the conceptual design of the machine tool is firstly carried out, in which the component parts and structural layout is determined.
(2015) developed a mathematical model integrating layout configuration and production planning in the design of dynamic distributed layouts.
Their design has a significant impact on the machine layout, complexity, and performance.
A choice of accelerator technology, the machine layout and its main parameters are discussed.
Tavakkoli-Moghaddam et al. (2007) suggested a novel formulation using the QAP to concurrent design of the optimal machine and cell layouts in a single time period planning horizon of a cellular manufacturing system (CMS) by considering the stochastic independent product demands with known normal PDF.
In this paper we apply the multiple attribute decision making (MADM) concept and propose a two-stage method that leads to determine cell formation, intracellular machine layout and cell layout as three basic steps in the design of CMS.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com