Joint computational design of workspaces and workplans
Joint computational design of workspaces and workplans
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DOI：
10.1145/3478513.3480500
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发表时间：
2021-12
期刊：
影响因子：
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通讯作者：
Yongqi Zhang;Haikun Huang;E. Plaku;L. Yu
中科院分区：
文献类型：
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作者：
Yongqi Zhang;Haikun Huang;E. Plaku;L. Yu
人类在工作空间中承担不同的生产角色。一方面，人类设计工作计划以尽可能有效地完成任务，以提高生产力。另一方面，一个好的工作空间对于促进团队合作至关重要。这样，工作空间的设计和工作计划的设计就相辅相成。受这些意见的启发，我们提出了一个自动的方法来共同设计一个工作空间和工作计划。以工作人员的属性，空间和工作设备作为输入，我们的方法共同优化工作空间和工作计划，考虑性能因素，如时间效率和避免拥堵，以及工作量因素，如步行努力，转身努力，工作量平衡。为了使设计权衡的探索，我们的方法产生了一组帕累托最优的设计解决方案，具有不同的目标，可以采用不同的工作场景的优势。我们应用我们的方法来综合不同工作场所的工作计划和工作计划，例如快餐厨房和超市。我们亦扩展我们的方法，以纳入其他常见的工作考虑因素，例如不断变化的工作需求及照顾不同体能的工作人员。模拟评估实验验证了我们的方法合成有效的计划和工作计划的有效性。
Humans assume different production roles in a workspace. On one hand, humans design workplans to complete tasks as efficiently as possible in order to improve productivity. On the other hand, a nice workspace is essential to facilitate teamwork. In this way, workspace design and workplan design complement each other. Inspired by such observations, we propose an automatic approach to jointly design a workspace and a workplan. Taking staff properties, a space, and work equipment as input, our approach jointly optimizes a workspace and a workplan, considering performance factors such as time efficiency and congestion avoidance, as well as workload factors such as walk effort, turn effort, and workload balances. To enable exploration of design trade-offs, our approach generates a set of Pareto-optimal design solutions with strengths on different objectives, which can be adopted for different work scenarios. We apply our approach to synthesize workspaces and workplans for different workplaces such as a fast food kitchen and a supermarket. We also extend our approach to incorporate other common work considerations such as dynamic work demands and accommodating staff members with different physical capabilities. Evaluation experiments with simulations validate the efficacy of our approach for synthesizing effective workspaces and workplans.