Autonomous Processes in Assembly Systems

Scholz‐Reiter, Bernd; Freitag, Michael

doi:10.1016/j.cirp.2007.10.002

Cited by 122 publications

(47 citation statements)

References 87 publications

(142 reference statements)

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“…The exchangeable jaws (5) are held in place by pneumatic pistons mounted on the anvil (3) and the slide (4). The slide (4) is driven by a pneumatic piston (6). A cable actuated position sensor (7) is used to control the clamping width of the vice and the correct fixture of a part by variance comparison.…”

Section: ) Resultsmentioning

confidence: 99%

“…Established production planning and control systems are vulnerable to abrupt changes, unforeseen events and supply stock-outs in production processes and do not allow a real-time computation of sophisticated decision models [8], [16]. Furthermore, the increasing size and scope of central-planning-based manufacturing execution systems lead to rapidly growing structural complexity [6], [13]. Therefore, the shift to concepts such as mass customization and individualization encouraged the development of methods and concepts in agile manufacturing to cluster manufacturing systems into subsystems and modules [6].…”

Section: A Evolution Of Production Systemsmentioning

confidence: 99%

“…Within the past years, several approaches for an efficient cell control were developed, which may be divided into two basic principles: On the one hand, methods for an efficient job scheduling in production cells, using given production workflows as an input have been developed [6], [53]. On the other hand, research work has been accomplished, in generating workflows from a set of small tasks, so called action primitives [54], [55].…”

Section: ) State-of-the-art and Research Gapsmentioning

confidence: 99%

“…Furthermore, the increasing size and scope of central-planning-based manufacturing execution systems lead to rapidly growing structural complexity [6], [13]. Therefore, the shift to concepts such as mass customization and individualization encouraged the development of methods and concepts in agile manufacturing to cluster manufacturing systems into subsystems and modules [6]. Consequently, Reconfigurable Manufacturing Systems (RMSs) focused on rapid changes, modifications and disturbances in manufacturing systems [14].…”

Section: A Evolution Of Production Systemsmentioning

confidence: 99%

“…Therefore, companies can only compete successfully if they offer products and services that meet the customer's individual requirements without sacrificing cost effectiveness or product quality [4], [5]. This results in large-scale fluctuations of demand, increasing product variants with specific configurations, random dispatching of orders, short delivery lead times of products and short product life cycles [6], [7].…”

mentioning

confidence: 99%

See 4 more Smart Citations

Artificial Cognition in Production Systems

Bannat¹,

Bautze²,

Beetz³

et al. 2011

IEEE Trans. Automat. Sci. Eng.

103

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Abstract-Today's manufacturing and assembly systems have to be flexible to adapt quickly to an increasing number and variety of products, and changing market volumes. To manage these dynamics, several production concepts (e.g., flexible, reconfigurable, changeable or autonomous manufacturing and assembly systems) were proposed and partly realized in the past years. This paper presents the general principles of autonomy and the proposed concepts, methods and technologies to realize cognitive planning, cognitive control and cognitive operation of production systems. Starting with an introduction on the historical context of different paradigms of production (e.g., evolution of production and planning systems), different approaches for the design, planning, and operation of production systems are lined out and future trends towards fully autonomous components of an production system as well as autonomous parts and products are discussed. In flexible production systems with manual and automatic assembly tasks, human-robot cooperation is an opportunity for an ergonomic and economic manufacturing system especially for low lot sizes. The state-of-the-art and a cognitive approach in this area are outlined. Furthermore, introducing self-optimizing and self-learning control systems is a crucial factor for cognitive systems. This principles are demonstrated by a quality assurance and process control in laser welding that is used to perform improved quality monitoring. Finally, as the integration of human workers into the workflow of a production system is of the highest priority for an efficient production, worker guidance systems for manual assembly with environmentally-and situationally dependent triggered paths on state-based graphs are described in this paper.Note to Practitioners-Today's manufacturing enterprises have to face a number of challenges in a turbulent environment that originates amongst other from saturated markets, unprecedented and abrupt changes in market demands, an ever increasing number of product variants and smaller lot sizes. A recent research trend in Germany is the so called Cognitive Factory, where artificial cognitive capabilities are introduced to the control of production systems. The applications range from production planning and control, human-robot-cooperation, automatic robot programming to intuitive worker guidance systems.The concept of fully automated production systems is no longer a viable vision, as it has been shown, that the conventional automa- tion is not able to deal with the ever-rising complexity of modern production systems. Especially, a high reactivity, agility and adaptivity that is required by modern production systems, can only be reached by human operators with their immense cognitive capabilities, which enable them to react to unpredictable situations, to plan their further actions, to learn and to gain experience and to communicate with others. Thus, new concepts are required, that apply these cognitive principles to the planning processes and control systems of pr...

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Section: ) Resultsmentioning

confidence: 99%