A Symbolic Approach to Self-optimisation in Production System Analysis and Control
A Symbolic Approach to Self-optimisation in Production System Analysis and Control
复制标题
生产系统分析与控制中自优化的符号方法
DOI：
10.1007/978-3-319-12304-2_11
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Bützler J
中科院分区：
文献类型：
--
作者：
Schlick C;Faber M;Bützler J
随着客户对产品和工艺质量要求的不断提高，企业面临着越来越多的组织和技术挑战。市场的特点是个性化的客户需求，导致产品的个性化适应。为了管理这种快速增长的产品种类，生产系统必须在待制造的产品结构以及相应的生产和装配过程方面变得更加灵活。特别是在装配系统领域，产品种类的不断增加给规划过程增加了新的复杂性，并增加了成本，因为（重新）规划工作往往会随着变量的数量呈指数级增长。克服这些限制的一种方法是设计能够自主调整以适应市场需求的生产系统。如果机器、机器人和技术流程的自动控制系统能够灵活地调整自己以适应环境条件，并通过生产规则的面向目标的前向和后向链接自主地找到解决方案，那么开发控制程序的努力将大大减少。这将减少非增值活动，从而为公司带来更高的生产力。继Adelt等人的开创性工作之后，2009年，我们谈到了自我优化。除了灵活性，公司还必须将工作人员融入生产过程。操作人员将始终参与直接接管装配任务（例如，跛行部件）或监督装配过程。此外，人类独特的技能，如感觉运动协调和创造性解决问题的能力，也不能自动化。为了建立一个安全的，
With steadily increasing customer requirements on quality of both products and processes, companies are faced with increasing organisational and technical challenges. The market is characterised by individualised customer wishes which result in individual adaptations of the products. In order to manage this rapidly growing variety of products, the production system has to become much more flexible with respect to the product structure to be manufactured and the corresponding production and assembly processes. Especially in the field of assembly systems the increasing variety of products adds new complexities to the planning process and increases the costs, because (re-) planning efforts tend to grow exponentially to the number of variants.One approach to overcome these limitations is to design production systems that are able to autonomously adjust to market needs. If the automatic control systems of machines, robots and technical processes could flexibly adjust themselves to the environmental conditions and autonomously find solutions through a goal-oriented forward and backward chaining of production rules, the efforts of developing the control programmes would be reduced significantly. This would cut down the nonvalue-adding activities, thereby yielding a higher productivity for the company. Following the seminal work of Adelt et al.(2009) we speak of self-optimisation. Besides flexibility, companies also have to integrate the working person into the production process. The human operator will always be involved either by directly taking over assembly tasks (eg for limp components) or by supervising the assembly process. Furthermore, unique human skills such as sensorimotor coordination and creative problem solving cannot be automated. To establish a safe,
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DOI：
10.1201/b12322-36
发表时间：
2012
期刊：
Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180)
影响因子：
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作者：
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DOI：
--
发表时间：
2013
期刊：
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影响因子：
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Marco Faber;Sinem Kuz;M. Mayer;C. Schlick
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DOI：
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发表时间：
2014
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影响因子：
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Christopher M. Schlick;Sinem Kuz;M. Faber;Jennifer E. Bützler
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DOI：
10.1007/978-3-642-21067-9_6
发表时间：
2012
期刊：
影响因子：
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作者：
Mayer M;Odenthal B;Ewert D;Kempf T;Behnen D;Büscher C;Müller S;Hauck E;Kausch B;Schilberg D;Herfs W;Schlick C;Jeschke S;Brecher C
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Brecher C
生产环境中的认知技术系统 - 可能方法的概述
影响因子：
1.7
作者：
E. Hauck;A. Gramatke;K. Henning
通讯作者：
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