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Page layout

About: Page layout is a research topic. Over the lifetime, 2266 publications have been published within this topic receiving 23261 citations.


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Journal ArticleDOI
TL;DR: Numerical examples demonstrate that the proposed intelligent optimization framework significantly improves the optimization efficiency compared to traditional models, and indicates the extraordinary promise of deep learning-based methods in the field of engineering optimization.

36 citations

Journal ArticleDOI
TL;DR: In this paper, an integer linear programming model for designing multi-floor layout of cellular manufacturing systems (CMS) is presented, where three major and interrelated decisions are involved in the design of a CMS; namely cell formation (CF), group layout (GL), and group scheduling (GS).
Abstract: This paper presents a novel integer linear programming model for designing multi-floor layout of cellular manufacturing systems (CMS). Three major and interrelated decisions are involved in the design of a CMS; namely cell formation (CF), group layout (GL), and group scheduling (GS). A novel aspect of this model is concurrently making the CF and GL decisions to achieve an optimal design solution in a multi-floor factory. Other compromising aspects are: multi-floor layout to form cells in different floors is considered, multi-rows layout of equal area facilities in each cell is allowed, cells in flexible shapes are configured, and material handling cost based on the distance between the locations assigned to machines are calculated. Such an integrated CMS model with an extensive coverage of important manufacturing features has not been proposed before and this model incorporates several design features including alternative process routings, operation sequence, processing time, production volume of parts, duplicate machines, machine capacity, new machine purchasing, lot splitting, material flow between machines, intra-cell layout, inter-cell layout, multi-floor layout and flexible configuration. The objective is to minimize the total costs of intra-cell, inter-cell, and inter-floor material handling, new machines purchasing and machine processing. Two numerical examples are solved by the Lingo software to verify the performance of the proposed model and illustrate the model features. Sensitive analysis is also implemented on some model parameters. An improved genetic algorithm (GA) is proposed to derive near-optimal solutions for the integrated model because of its NP hardness. It is then tested using several problems with different sizes and settings to verify the computational efficiency of the developed algorithm in comparison to a classic simulated annealing algorithm and the Lingo software. The obtained results show the efficiency of proposed GA in terms of objective function value and computational time.

35 citations

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper proposed a Euclidean distance based approach (WEDBA) as a multiple attribute decision making method to deal with the complex plant or facility layout design problems of the industrial environment.
Abstract: Article history: Received 25 November 2011 Accepted 11 January 2011 Available online 15 January 2012 In response to increasing inflexible customer demands and to improve the competitive advantage, industrial organizations have to adopt strategies to achieve cost reduction, continual quality improvement, increased customer service and on-time delivery performance. Selection of the most suitable plant or facility layout design for an organization is one among the most important strategic issues to fulfill all these above-mentioned objectives. Nowadays, many industrial organizations have come to realize the importance of proper selection of the plant or facility layout design to survive in the global competitive market. Selecting the proper layout design from a given set of candidate alternatives is a difficult task, as many potential qualitative and quantitative criteria need to be considered. This paper proposes a Euclidean distance based approach (WEDBA) as a multiple attribute decision making method to deal with the complex plant or facility layout design problems of the industrial environment. Three examples are included to illustrate the approach. © 2012 Growing Science Ltd. All rights reserved

35 citations

Proceedings ArticleDOI
25 Apr 2007
TL;DR: A matching-based placement and routing system for custom layout design automation especially for analog or mixed-signal designs that can easily generate high-quality layouts and greatly reduce the layout design time.
Abstract: Matching placement and routing is very important in layout design of high performance analog circuits. This paper presents a matching-based placement and routing system for custom layout design automation especially for analog or mixed-signal designs. The system explores various device-level matching-placement and matching-routing patterns to generate the most compact and high-quality layouts. Inputting a circuit netlist, the system automatically analyzes the circuit and extracts matching devices to form several matching device groups. Then, it selects the best matching placement and routing pattern for each device or device group to optimize and to meet the overall placement objectives and constraints. All patterns are user-configurable, stored in the pattern database, and portable from design to design. After the layout of each device and device group is generated and placed, the constraint-driven shape-based router is invoked to complete the layout. The overall system can easily generate high-quality layouts and greatly reduce the layout design time.

35 citations

Journal ArticleDOI
TL;DR: A novel index structure called μ*-Tree is proposed which natively works on NAND flash memory, aiming at improving performance over B+-Tree, and has an adaptive page layout scheme which dynamically adjusts the page layout according to the workload characteristics on-the-fly.
Abstract: As NAND flash memory is gaining popularity as a storage medium for mobile embedded devices, many flash-aware file systems, flash-aware DBMSes, and flash translation layers (FTLs) require an flash-efficient index structure. This paper proposes a novel index structure called μ*-Tree which natively works on NAND flash memory, aiming at improving performance over B+-Tree. μ*-Tree stores all the nodes along the path from the root to the leaf into a single flash memory page in order to minimize the number of flash write operation when a node is updated. Furthermore, μ*-Tree has an adaptive page layout scheme which dynamically adjusts the page layout according to the workload characteristics on-the-fly. μ*-Tree also allows flash pages with different page layouts to coexist in the same tree. Our evaluation results with real workload traces show that μ*-Tree outperforms B+-Tree by up to 55 percent in terms of the time needed for flash operations. With a small in-memory cache of 32 KB, μ*-Tree improves the overall performance by up to five times compared to B+-Tree with the same cache size.

35 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202325
202273
202165
202093
2019124
201893