Research On The Application Of Job Shop' Production Progress Extraction Methods

Modern job shop, whose production process is the coexistence of multi-device and multi-task process, is an advanced manufacturing system with many features such as various kinds of production, a high degree of personalization, rapid change, small volume and so on. During the operation of Job shop, rapid response to production plan and optimal scheduling of production tasks must be achieved, and a series of information status must be ready to grasp, such as the dynamic situation of online manufacturing workpiece, the condition and utilization of equipments, etc. Thus, the internal relationship, dynamic characteristics, extraction and analysis methods of the information in the shop manufacturing systems should be researched from the system point of view. With the comprehensive needs of "Fast, high quality, high efficiency, low cost, low power consumption" as the goal, and in combination with the National Natural Science Fund Project, Research on System Characteristics and New Collecting Methods of the Operating Status Information of Modern Job Shop Manufacturing System(Project Number:50775228), extraction methods and application models of the plant operating status information are studied in the paper from the view of optimal operation of the modern job shop manufacturing system. Main research contents and results are listed bellow:The production process information of the job shop manufacturing system is analyzed. A networked description of the job-shop complex progress object is given with the idea of complex network for the first time. A hierarchical model of complex production progress network is established to adapt to the product tree of ordering task and the dynamic changes in the implementation process. The node granularity of the complex progress information network is defined. At the same time, three kinds of local feature indicators of the complex progress information networks and analyzed, including node degree value, clustering coefficient and redundancy.In order to solve the problem of how to reflect the running state of the information node in job shop, this paper provided a kind of analysis algorithm on progress of information node in job shop based on Markov Chain and Information Entropy theory for the first time. The multiplex progress information characteristics are divided into three groups, namely strongly correlated characteristics, weakly correlated characteristics and uncorrelated characteristics, and the concept of Entropy in information theory is refereed to here to simplify the aggregation of characteristics to aggregation of optimal progress information of information nodes in job shop, through setting threshold level of characteristic to filter the correlation extent of characteristic to eliminate uncorrelated and redundant elements in the original aggregation of characteristics. At the same time,hierarchical fuzzy analysis method is used to deeply analyze the direct an indirect relations between elements in the aggregation of optimal operational schedule information, extent of affection from each element in all progress subclasses to the whole system, and importance of which in the system architecture.This paper designed the detailed acquiring steps and some related rules, and then, the complex network itself and the acquiring method are validated in this paper through simulation experiment on the progress information relation network of job shop. One networking method of acquiring complex process objects in job workshop is researched in this paper, which converted the problem of acquiring complex progress information to a problem of traversing nodes in complex network, and that provided a new perspective for researching complex production process problem.Based on the above research results, a smart prototyping support system for acquiring and analyzing multiplex information in job shop has been developed, which can be used to assist workshop managers to comprehensively acquire and analyze the dynamic and static characteristics, resource consume, manpower flow, and some other related factors while they are making scheduled plan and monitoring production process. Additionally, this paper elaborated the architecture and function modules design of this prototyping system, and analyzed its basic operational process. The system provide with the function of dynamically display on line and control on line, and realized the seamless interaction and integration, and resolved a series of problems, such as merge and analysis of multiplex information, integration of multi-message, huge information interaction, real-time and barrier-free interaction with remote requesters. At the end of this paper, introduction about the use of the prototyping system in job workshop of certain manufacturing company is given.