Maintenance Decisions of Part Agent Based on Failure Probability of a Part Using Bayesian Estimation

Nanjo, Keisuke; Yamamori, Yuki; Yokoki, Yumihito; Sakamoto, Yuta; Hiraoka, Hiroyuki

doi:10.1016/j.procir.2015.02.204

Cited by 9 publications

(1 citation statement)

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“…A life cycle model consists of life cycle stages and life cycle paths that represent transfer between them. At each time step, the part agent predicts possible states of the part in the near future, and evaluates the options of actions in order to give advice to the user [5].…”

Section: Agent Framework For Replacement Of Partsmentioning

confidence: 99%

Replacement of Parts by Part Agents to Promote Reuse of Mechanical Parts

Hiraoka

Nagasawa

Fukumashi

et al. 2017

Product Lifecycle Management and the Industry of the Future

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Replacement of parts is a crucial task for the reuse of parts. In this paper, functions of part agent we are developing that support the reuse are described. A part agent manages life cycle of a part using a network agent and an RFID tag attached on the part and generates advices for the user on the maintenance of the part in order to promote the reuse. Part agent we are developing to support the replacement has the following functions. First function is to detect deterioration of the part from its sensory data. As an example, simple 3dof manipulator is developed with modularized link structure. Part agent is assigned for each module and generates advice on its replacement. Second function is to calculate the possibility of failures of part based on causal relation among user operations and detected events. Third function is to support users to disassemble used parts. Part agent generates disassembly procedure of the part and shows it to the user using augmented reality technique. In this paper, the planned scheme for part agent to support reuse of part with these functions is described and preliminary result of the development is shown.

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Section: Agent Framework For Replacement Of Partsmentioning

confidence: 99%