Toward Intelligent Manufacturing Workshop Modeling and Validation of a Resource-Driven Mechanism-Based Info-Interconnect Model

Abstract

The interconnection and interworking, a process of data interaction among different levels in manufacturing enterprises, are the core of realizing intelligent manufacturing. This paper focuses on the modeling of the interconnection-related information in product manufacturing and develops an info-interconnect model (IIM) in product manufacturing based on a widespread research of various informational aspects in the business logic of the digital workshop of manufacturing enterprises. The developed IIM, which describes the product data structure and the organizational logic of the production process, follows a layered modeling methodology in which IIM is subdivided into layers with the main purpose to separate entities, rules, workflow, and application into different levels. Then, based on resource-driven mechanism, business processes are modeled by directed acyclic graphs (i.e., PR-AOV network and PR-AOE network), incidence matrix of resources, and set of resources availability in order to improve the management and control of workflow, and to provide basis for dynamic scheduling of workshop. Finally, workshop layer application and control layer application have been incorporated to validate the usability and applicability of the developed IIM. This new info-interconnect model paves the way for the assurance of data consistency, the development of fully integrated manufacturing workflow, and the rapid deployment of efficient business logic in a manufacturing workshop.

Autonomous resource allocation of smart workshop for cloud machining orders

“…Mubarok et al (2018) proposed a hierarchical reliability assessment model to assess manufacturing service reliability. Song et al (2019) developed an info-interconnect model in product manufacturing. Wang et al (2011) proposed a novel resource allocation method that D2D can reuse the resources of more than one cellular user.…”

A Combined Service Optimization and Production Control Simulation System

“…Intelligence is the development direction of manufacturing automation. Intelligent manufacturing technology makes products traceable, identifiable, locatable and manageable, supports the comprehensive networking and communication of production equipment, enables the intelligent production for a small number of personalized products, and realizes the realtime interconnection between people, equipment, and products between isolated workshops [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. Manufacturing resources are the core resources for intelligent manufacturing enterprises engaging in home appliances, food, automobiles, apparel, retail, electrical, energy and chemical industries.…”