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A new approach to plan manual assembly

机译：计划手动组装的新方法

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摘要

Today's methods for planning manual assembly processes have been developed for many decades. Besides technical advances, organisational innovations such as concurrent engineering have made a major contribution to both cost and quality of the final product. However, mass customisation and personalisation of products have imposed additional requirements. Planning should be performed for many different product variants while at the same time planning cost and time to market should be kept at a minimum level. The objective of this paper is to present a new approach for planning of manual assembly processes that goes beyond established industry practices, which has the potential to provide planning teams with tools to evaluate different assembly process scenarios faster, eliminating the need for physical prototypes. The approach is based on controlled natural language textual descriptions of assembly tasks, automatic generation human motions from the textual descriptions based on data-driven, statistical motion modelsand interactive process optimisation. The proposed method is evaluated in a pilot case from automotive industry regarding ease of use, extensibility, adaptability, motion realism and motion diversity. Results suggest that while the approach addresses practical needs of production planning, technical challenges remain in order to make it ready to be implemented into digital planning environments.
机译：今天的规划手动装配过程的方法已经开发了数十年。除技术进步外，并发工程等组织创新对最终产品的成本和质量进行了重大贡献。但是，产品的大规模定制和个性化都有额外的要求。应对许多不同的产品变体进行规划，同时，应保持最低水平的规划成本和上市时间。本文的目的是提出了一种规划，用于规划超出建立行业实践的手动组装过程，这有可能为规划团队提供更快地评估不同装配过程场景的工具，从而消除了物理原型的需求。该方法是基于组装任务的受控自然语言文本描述，基于数据驱动的统计运动模型和交互式过程优化的自动生成人类运动。所提出的方法在汽车工业的试点案例中评估了关于易用性，可扩展性，适应性，运动现实主义和运动多样性的。结果表明，虽然该方法解决了生产规划的实用需求，但仍有技术挑战仍然是为了使其能够实施到数字规划环境中。

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