Knowledge Based Approach to Assembly System Reuse

Harms, Robert; Fleschutz, Timo; Seliger, Gu ̈nther

doi:10.1115/esda2008-59247

Cited by 9 publications

(4 citation statements)

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“…A life cycle assessment consists of four steps: goal and scope definition, life-cycle inventory analysis, impact assessment and interpretation [35]. Consumption of energy and other resources and environmental discharges of material and energy wastes are examined in LCA for existing process and design alternatives [36][37][38]. Strategies for the design/selection of products, materials, processes, reuse, recycling, and final disposal can be obtained with LCA.…”

Section: Design For Environment and Life Cycle Assessmentmentioning

confidence: 99%

Sustainable Manufacturing and Design: Concepts, Practices and Needs

2012

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An investigation is reported on the importance of integrating sustainability with manufacturing and design, along with other objectives such as function, competitiveness, profitability and productivity. The need of utilizing appropriate tools like design for environment, life cycle assessment and other environmentally sound practices that are cognizant of the entire life cycle of a process or product is highlighted. It is likely that sustainability and environmental stewardship will be increasingly important considerations in manufacturing and design in the future and are likely to influence the main priorities for advancing manufacturing operations and technologies. Designers and manufacturing decision makers who adopt a sustainability focus and establish a sustainability culture within companies are more likely to be successful in enhancing design and manufacturing. It is concluded that more extensive research and collaboration is needed to improve understanding of sustainability in manufacturing and design, and to enhance technology transfer and applications of sustainability.

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Section: Design For Environment and Life Cycle Assessmentmentioning

confidence: 99%

Sustainable Manufacturing and Design: Concepts, Practices and Needs

2012

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“…For these reasons and because of general intricacies of adaptation processes themselves, manufacturing firms often take the decision to design new production systems, rather than adapting existing ones. This is the case, in particular, with regard to assembly systems [1,2]. This paper presents the design of FRAME (Fast Reconfiguration in an Adaptive Manufacturing Environment), a self-learning framework for capturing adaptation knowledge and supporting engineers throughout an adaptation process.…”

Section: Introductionmentioning

confidence: 99%

Design of a self-learning multi-agent framework for the adaptation of modular production systems

Scrimieri

Afazov

Ratchev

2021

Int J Adv Manuf Technol

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This paper presents the design of a multi-agent framework that aids engineers in the adaptation of modular production systems. The framework includes general implementations of agents and other software components for self-learning and adaptation, sensor data analysis, system modelling and simulation, as well as human-computer interaction. During an adaptation process, operators make changes to the production system, in order to increase capacity or manufacture a product variant. These changes are automatically captured and evaluated by the framework, building an experience base of adjustments that is then used to infer adaptation knowledge. The architecture of the framework consists of agents divided in two layers: the agents in the lower layer are associated with individual production modules, whereas the agents in the higher layer are associated with the entire production line. Modelling, learning, and adaptations can be performed at both levels, using a semantic model to specify the structure and capabilities of the production system. An evaluation of a prototype implementation has been conducted on an industrial assembly system. The results indicate that the use of the framework in a typical adaptation process provides a significant reduction in time and resources required.

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“…This is fundamental for building cost-effective and sustainable manufacturing solutions, in particular with regard to assembly systems. However, lack of experience with reuse and adaptation, as well as insufficient planning and support during the adaptation itself prevent the achievement of this objective (Harms, Fleschutz, and Seliger 2008;Järvenpää 2012). Hence, manufacturing companies often decide not to adapt existing assembly systems because of the complexity and inefficiency of the process.…”

Section: Introductionmentioning

confidence: 99%

Automated experience-based learning for plug and produce assembly systems

Scrimieri

Antzoulatos

Castro

et al. 2016

International Journal of Production Research

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This paper presents a self-learning technique for adapting modular automated assembly systems. The technique consists of automatically analysing sensor data and acquiring experience on the changes made on an assembly system to cope with new production requirements or to recover from disruptions. Experience is generalised into operational knowledge that is used to aid engineers in future adaptations by guiding them throughout the process. At each step, applicable changes are presented and ranked based on: 1) similarity between the current context and those in the experience base; 2) estimate of the impact on system performance. The experience model and the self-learning technique reflect the modular structure of the assembly machine and are particularly suitable for plug and produce systems, which are designed to offer high levels of self-organisation and adaptability. Adaptations can be performed and evaluated at different levels: from the smallest pluggable unit to the whole assembly system. Knowledge on individual modules can be reused when modules are plugged into other systems. An experimental evaluation has been conducted on an industrial case study and the results show that, with experience-based learning, adaptations of plug and produce systems can be performed in a shorter time.

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Knowledge Based Approach to Assembly System Reuse

Cited by 9 publications

References 0 publications

Sustainable Manufacturing and Design: Concepts, Practices and Needs

Sustainable Manufacturing and Design: Concepts, Practices and Needs

Design of a self-learning multi-agent framework for the adaptation of modular production systems

Automated experience-based learning for plug and produce assembly systems

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