Abstract
It is urgent to combine knowledge resources with manufacturing business processes to form a knowledge service in the cloud mode, so as to provide intelligent support for business activities in product development process. The main challenge of knowledge resource service, however, is how to rapidly construct the complex resource service system and respond promptly to the changeable service requirements in the business process, which is similar to the software system modeling using a component in software engineering. This paper is concerned with an optimal composition framework (OCF) of knowledge resource service, including service decomposition, component encapsulation, and optimal composition. Firstly, the typical business processes are decomposed into the dynamic knowledge element (DKE), and all kinds of knowledge resources and service behaviors are encapsulated into the reusable resource service components (RSC). Then, a multicomponent optimal composition mathematical model is presented, which transforms the problem of component composition into a multiobjective optimization problem. On this basis, a heuristic algorithm with the adaptive mutation probability is introduced to composite the multigranularity service component dynamically and robustly. Finally, the case of component composition for maintenance resource service is studied and the simulation results are provided to verify the efficacy of the proposed model and algorithms.
Highlights
In the cloud mode, enterprises have a large number of knowledge resources such as standards, speci cations, methods, and cases. erefore, how to reuse the existing knowledge resources and experience quickly and e ectively for product innovation and development has become the key to improve the competitiveness of enterprises
How to combine knowledge resources with manufacturing business processes to form a knowledge service is of great importance for manufacturing industry, which will promote the transformation of industry from “operation mode” to “prediction model” [4, 5]
We first construct the optimal composition framework (OCF) of knowledge resource service, as shown in Figure 2. e main idea of OCF is all kinds of knowledge resources in business process, such as tools, methods, and parameters, are encapsulated to the reusable service components, and the knowledge service with specific function are formed by composing such components
Summary
Enterprises have a large number of knowledge resources such as standards, speci cations, methods, and cases. erefore, how to reuse the existing knowledge resources and experience quickly and e ectively for product innovation and development has become the key to improve the competitiveness of enterprises. Is paper is concerned with service-oriented encapsulation of knowledge resources and business process, transforming knowledge into a resource or product and into economic benefits Following this idea, an optimal composition framework (OCF) including service task decomposition, component encapsulation, and optimal composition was constructed, where the typical business processes of the enterprise are sort out, and knowledge such as tools, methods, and parameters used in typical business activities can be obtained. An optimal composition framework (OCF) including service task decomposition, component encapsulation, and optimal composition was constructed, where the typical business processes of the enterprise are sort out, and knowledge such as tools, methods, and parameters used in typical business activities can be obtained On this basis, the task of knowledge service is decomposed into a series of subtasks which cannot be subdivided but can be completed by a single knowledge service. According to the given service requirements and constraints, the most satisfactory service combination is selected from all possible combinations
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