Congestion-Aware Warehouse Flow Analysis and Optimization

Alhalawani, Sawsan; Mitra, Niloy J.

doi:10.1007/978-3-319-27863-6_66

Cited by 2 publications

(1 citation statement)

References 26 publications

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“…Fisher et al (2015) synthesized functional 3D scenes by deducing possible human activities. AlHalawani and Mitra (2015) proposed an approach for optimizing object placement in a warehouse by analyzing tra c congestion.…”

Section: Related Workmentioning

confidence: 99%

Interactive Diversity Optimization of Environments

Berseth,

Khayatkhoei,

Haworth

et al. 2018

Preprint

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The design of a building requires an architect to balance a wide range of constraints: aesthetic, geometric, usability, lighting, safety, etc. At the same time, there are often a multiplicity of diverse designs that can meet these constraints equally well. Architects must use their skills and artistic vision to explore these rich but highly constrained design spaces. A number of computer-aided design tools use automation to provide useful analytical data and optimal designs with respect to certain tness criteria. However, this automation can come at the expense of a designer's creative control.We propose µDOME, a user-in-the-loop system for computer-aided design exploration that balances automation and control by e ciently exploring, analyzing, and ltering the space of environment layouts to better inform an architect's decision-making. At each design iteration, µDOME provides a set of diverse designs which satisfy user-de ned constraints and optimality criteria within a user de ned parameterization of the design space. The user then selects a design and performs a similar optimization with the same or di erent parameters and objectives. This exploration process can be repeated as many times as the designer wishes. Our user studies indicates that µDOME, with its diversity-based approach, improves the e ciency and e ectiveness of even novice users with minimal training, without compromising the quality of their designs.

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Section: Related Workmentioning

confidence: 99%

Interactive Diversity Optimization of Environments

Berseth,

Khayatkhoei,

Haworth

et al. 2018

Preprint

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Crowd-driven mid-scale layout design

Feng

Yeung

et al. 2016

ACM Trans. Graph.

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We propose a novel approach for designing mid-scale layouts by optimizing with respect to human crowd properties. Given an input layout domain such as the boundary of a shopping mall, our approach synthesizes the paths and sites by optimizing three metrics that measure crowd flow properties: mobility, accessibility, and coziness. While these metrics are straightforward to evaluate by a full agent-based crowd simulation, optimizing a layout usually requires hundreds of evaluations, which would require a long time to compute even using the latest crowd simulation techniques. To overcome this challenge, we propose a novel data-driven approach where nonlinear regressors are trained to capture the relationship between the agent-based metrics, and the geometrical and topological features of a layout. We demonstrate that by using the trained regressors, our approach can synthesize crowd-aware layouts and improve existing layouts with better crowd flow properties.

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Congestion-Aware Warehouse Flow Analysis and Optimization

Cited by 2 publications

References 26 publications

Interactive Diversity Optimization of Environments

Interactive Diversity Optimization of Environments

Crowd-driven mid-scale layout design

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