TY - GEN
T1 - P-SaaS
T2 - 16th IEEE International Conference on Automation Science and Engineering, CASE 2020
AU - He, Longlong
AU - Jiang, Pingyu
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - Orders come and go, but for manufacturing enterprises product-related production problems (PPs) are forever. To realize the aim of CTQS (i.e., lower cost, faster time to market, higher quality and better service), a serviced oriented model of product related problem-solving as a service (P-SaaS) is presented with three-layer structure: task bade workflow layer, knowledge based solution layer and cognition based decision-making layer in this paper. For knowledge oriented PPs solving, each task/subtask is taken as a piece of knowledge service, and the function based task decision for problem solving is organized and implemented by independent Web applications on the microservice architecture platform. Each application is considered as an agent based on its independent function. To support this model, operational models and key enable technologies are detailed. Firstly, a task based workflow is constructed to orchestrate the meta-events of specific task through coordination agent. Secondly, focused on a specific task of PPs query, a similarity based knowledge flow is proposed to retrieve the finite set of alternative solutions with a set threshold value through core agent. Thirdly, a cognition based decision synthesis flow is used to improve the quality of alternative solutions by knowledge collaboration and fusion through the individual agent. Finally, a case on high voltage apparatus in XD company is introduced to validate the proposed models.
AB - Orders come and go, but for manufacturing enterprises product-related production problems (PPs) are forever. To realize the aim of CTQS (i.e., lower cost, faster time to market, higher quality and better service), a serviced oriented model of product related problem-solving as a service (P-SaaS) is presented with three-layer structure: task bade workflow layer, knowledge based solution layer and cognition based decision-making layer in this paper. For knowledge oriented PPs solving, each task/subtask is taken as a piece of knowledge service, and the function based task decision for problem solving is organized and implemented by independent Web applications on the microservice architecture platform. Each application is considered as an agent based on its independent function. To support this model, operational models and key enable technologies are detailed. Firstly, a task based workflow is constructed to orchestrate the meta-events of specific task through coordination agent. Secondly, focused on a specific task of PPs query, a similarity based knowledge flow is proposed to retrieve the finite set of alternative solutions with a set threshold value through core agent. Thirdly, a cognition based decision synthesis flow is used to improve the quality of alternative solutions by knowledge collaboration and fusion through the individual agent. Finally, a case on high voltage apparatus in XD company is introduced to validate the proposed models.
KW - knowledge collaboration and reuse
KW - problem-solving as a service (P-SaaS)
KW - service oriented scientific workflow
UR - https://www.scopus.com/pages/publications/85094144901
U2 - 10.1109/CASE48305.2020.9216974
DO - 10.1109/CASE48305.2020.9216974
M3 - 会议稿件
AN - SCOPUS:85094144901
T3 - IEEE International Conference on Automation Science and Engineering
SP - 570
EP - 575
BT - 2020 IEEE 16th International Conference on Automation Science and Engineering, CASE 2020
PB - IEEE Computer Society
Y2 - 20 August 2020 through 21 August 2020
ER -