High Resolution Production Management

Schuh, Günther; Gottschalk, Sebastian; Höhne, Tim

doi:10.1016/j.cirp.2007.05.105

Cited by 68 publications

(28 citation statements)

References 9 publications

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“…requirements can be achieved by creating short response times to deviations in the production system, the production process, or the configuration of the product in coherence to overall performance targets [9]. In order to obtain short response times, a high process transparency [9] and the reliable provisioning of the required information to the point of need at the correct time and without human intervention [10] is essential. However, the success of those adaptive and responsive production systems highly depends on real-time and operation-synchronous information from the production system, the production process and the individual product [2].…”

mentioning

confidence: 99%

“…Need for cognitive automation to improve productivity [12]. requirements can be achieved by creating short response times to deviations in the production system, the production process, or the configuration of the product in coherence to overall performance targets [9]. In order to obtain short response times, a high process transparency [9] and the reliable provisioning of the required information to the point of need at the correct time and without human intervention [10] is essential.…”

mentioning

confidence: 99%

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Artificial Cognition in Production Systems

Bannat¹,

Bautze²,

Beetz³

et al. 2011

IEEE Trans. Automat. Sci. Eng.

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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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mentioning

confidence: 99%

mentioning

confidence: 99%

Artificial Cognition in Production Systems

Bannat¹,

Bautze²,

Beetz³

et al. 2011

IEEE Trans. Automat. Sci. Eng.

View full text Add to dashboard Cite

show abstract

“…The paper has shown that AutoID technologies, supported by appropriate software solutions, can bring numerous immediate or long-term benefits for operations within a company, as well as across organizational borders [5], [8], [10], [11], [8], [12]. Moreover, AutoID-based solutions can act as enabling technologies for facing many of the challenges of future production, such as autonomous processes [11], plug-and-produce real-time manufacturing execution systems, realtime enterprise and supply chain management [15].…”

Section: Discussionmentioning

confidence: 99%

“…However, in order to master the high dynamics in the processes and demand, real-time feedback from the production is required [5].…”

Section: Introductionmentioning

confidence: 99%

Increased transparency within and beyond organizational borders by novel identifier-based services for enterprises of different size

et al. 2009

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“…Assessment is the procedure of collecting, analyzing and reporting information about activities as they pertain to meeting requirements. Approaches searching for an optima, such as simultaneous planning, would typically fail since they disregard stakeholder preferences and the interactions among them (Schuh et al 2007).…”

Section: Sustainable Developmentmentioning

confidence: 99%

Design of production systems with hybrid energy and water generation for sustainable value creation

Emec

Bilge

Seliger

2015

Clean Techn Environ Policy

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Population growth, connected with rising incomes, urbanization, fidelity to dogmas and climate change, places pressure on the food industry. This significantly increases the inextricably-linked demand of production systems for water and energy. Technological solutions-such as increasing accessibility and further reducing costs-can be employed to overcome the limitations created by the local availability of resources. This paper develops a new methodology generating sustainable value, and thus achieving a competitive advantage in business ecosystems. The methodology addresses both the key requirements of sustainable development and the preferences of stakeholders. A set of design conditions are proposed to develop eco-efficient, socio-eco-effective, and adaptable production systems under changing limitations. An international project is launched to demonstrate the superiority of the design methodology and to create awareness about interdependencies among the prevalent design conditions and regional limitations. The task aims at developing technological solutions, which can be retrofitted in existing production systems to increase the sustainable local added value and capacity for regions affected by climate change. The impact of climate change is more obvious in semi-closed ecosystems. Cyprus is one of the Mediterranean islands with such a semi-closed ecosystem. Combined with water scarcity and rising prices in electricity, this made Cyprus an ideal testing ground for the methodology. The selected solution includes the use of hybrid energy and water generation to process agricultural products and to recycle organic waste. This solution achieves a nearly zero emission, zero water footprint and increases the local added value by product-service systems. To support decision-makers, various technologies and their feasibility are considered, evaluated and recommendations are made for implementing the modular solutions.

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High Resolution Production Management

Cited by 68 publications

References 9 publications

Artificial Cognition in Production Systems

Artificial Cognition in Production Systems

Increased transparency within and beyond organizational borders by novel identifier-based services for enterprises of different size

Design of production systems with hybrid energy and water generation for sustainable value creation

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