Facility Layout Planning Using Self-Organization Method

Ueda, Kanji; Fujii, Nobutada; Hatono, Itsuo; Kobayashi, Motohiro

doi:10.1016/s0007-8506(07)61546-7

Cited by 22 publications

(9 citation statements)

References 5 publications

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“…Typically, members of the systems are individually able to achieve simple tasks, but their interactions lead to the emergence of complex collective behavior [28] [52]. In self-organizing systems, agents also communicate with each other indirectly: they use stigmergy (following ant communities) [45] [47] [53] or attraction-repulsion fields [54] [55]. Though, currently there is no generic coordination method that could be applied in engineering self-organizing systems [1].…”

Section: Organizationmentioning

confidence: 99%

“…Facility layout planning by using self-organizing principles is described in [55] where the planning proceeds by local interactions between machines and AGVs, without global control. Self-organization is exploited in [87] where a decomposition of manufacturing objectives and the allocation of tasks to work systems is arranged.…”

Section: Production Planning and Resource Allocationmentioning

confidence: 99%

“…ExPlanTech, planning mass production of car engine manufacturing [146] [ 194] Facility layout planning by using self-organization [55] Production scheduling and control AARIA (Autonomous Agents for Rock Island Arsenal): scheduling of an army manufacturing facility [115] Hot steel rolling agent: dynamic scheduling of steel production [195] Warehouse scheduling and control [99] Process control, monitoring and diagnosis…”

Section: Production Planning and Resource Allocationmentioning

confidence: 99%

See 2 more Smart Citations

Agent-Based Systems for Manufacturing

2006

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The emerging paradigm of agent-based computation has revolutionized the building of intelligent and decentralized systems. The new technologies met well the requirements in all domains of manufacturing where problems of uncertainty and temporal dynamics, information sharing and distributed operation, or coordination and cooperation of autonomous entities had to be tackled. In the paper software agents and multi-agent systems are introduced and through a comprehensive survey, their potential manufacturing applications are outlined. Special emphasis is laid on methodological issues and deployed industrial systems. After discussing open issues and strategic research directions, we conclude that the evolution of agent technologies and manufacturing will probably proceed hand in hand. The former can receive real challenges from the latter, which, in turn, will have more and more benefits in applying agent technologies, presumably together with well-established or emerging approaches of other disciplines.

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Section: Organizationmentioning

confidence: 99%

Section: Production Planning and Resource Allocationmentioning

confidence: 99%

Section: Production Planning and Resource Allocationmentioning

confidence: 99%

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Agent-Based Systems for Manufacturing

2006

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“…In this system, all production elements can move freely on the production floor using self-organization in order to adapt to fluctuations such as the diversity of product demands and the malfunction of machines. The effectiveness and feasibility of this system is demonstrated by computer simulations and by a prototypical mini-factory consisting of small autonomous robots [100], [101], [102]. Simulation results demonstrated that the proposed model can achieve global objectives such as "maximise the throughput" and "minimise the due date deviation".…”

Section: Layout Designmentioning

confidence: 98%

Autonomous Processes in Assembly Systems

2007

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Today's assembly systems have to be flexible to adapt quickly to an increasing number and variety of products and changing demand volume. To manage these dynamics, flexible, reconfigurable, and autonomous assembly systems were proposed and partly realised in the last two decades. The flexibility and adaptability is realised by clustering the assembly system into subsystems and modules which get a certain degree of autonomy and control themselves in a decentralised way. This keynote paper will present the general principles of autonomy and the proposed concepts, methods and technologies to realise autonomous processes in assembly systems. Different approaches for design and autonomous operation of assembly will be explained and future trends towards fully autonomous components of an assembly system as well as autonomous parts and products will be discussed.

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“…Dynamically evolving perspectives and collective innovation are requisites for the self-organizing systems designed for manufacturing control. Ueda et al proposed biological manufacturing systems that adapt to diverse production demands and malfunctions [131], as well as autonomously generating facility layout plans [132]. The random manufacturing system proposed by Iwata et al [133] adaptively generates manufacturing schedules, while contending with dynamically changing orders.…”

Section: Related Cirp Efforts and Initiativesmentioning

confidence: 99%

A Scientific Foundation of Collaborative Engineering

et al. 2007

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Collaborative engineering is the practical application of collaboration sciences to the engineering domain. In today's highly connected technology-driven economy, the production industry must rely on the best practices of collaborative engineering to stay competitive when designing, manufacturing and operating complex machines, processes, and systems on a global scale. Despite its importance, collaborative engineering is currently more of a practiced art than a scientific discipline. A better understanding of how engineers should collaborate with all stakeholders to accomplish complex tasks that fulfill our increasing social responsibilities is a grand challenge. However, because we currently lack well-defined sciences of human collaboration, we must first establish a scientific foundation of collaborative engineering to develop this emerging field into a rigorous discipline. This paper reports on the CIRP community's collective efforts to establish such a scientific foundation according to the "Observation Hypothesis Theory" development pathway. Our objective is to spearhead the rigorous development of this new human-centered engineering discipline, so that useful knowledge can be generated to educate students and practical guidelines can be developed to enable engineers to become more productive collaboration leaders in the new global production industry.

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Facility Layout Planning Using Self-Organization Method

Cited by 22 publications

References 5 publications

Agent-Based Systems for Manufacturing

Agent-Based Systems for Manufacturing

Autonomous Processes in Assembly Systems

A Scientific Foundation of Collaborative Engineering

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