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Organization model and management of concurrent product design as a kind of design philosophy, concurrent engineering combines advanced management ideas with advanced technology, adopts the idea of integration and parallelism to design products and related processes, and fully considers the interaction of all links in the product life cycle in the early stage of product development, so as to shorten the product development cycle, reduce the product cost and improve the product quality. Obviously, compared with the traditional design environment, concurrent design has significant differences in personnel organization, design support environment, design tools, design process planning and control, and design objectives. At the same time, the traditional PDM system fails to provide powerful organization modeling and organization management tools. This paper focuses on the organizational requirements and organizational model of concurrent design, and uses IDEFIX semantic data modeling technology to establish an organizational management model based on PDM

1 characteristics and organizational requirements of concurrent product design

concurrent engineering requires the establishment of an integrated product development environment, as shown in Figure 1. Information integration, function integration and process integration are its three major characteristics. Information integration eliminates the phenomenon of "engineering automation island"; Function integration realizes the coordination and support between various application tools, and makes the whole design process achieve a harmonious unity; Process integration realizes the coordination and control of the development process, so that the right information can be transmitted to the right people at the right time and in the right way, and the right events can be triggered. According to the basic characteristics of concurrent product design, it is obvious that the traditional hierarchical management organization is difficult to meet the requirements of concurrent engineering. Concurrent engineering puts forward the following basic requirements for the organization model:

Figure 1 concurrent product design framework

needs to organize teams with one or a series of common tasks for product development

the way to realize concurrent engineering is to carry out highly parallel development work with the support of tool groups such as CAx and DFX. Therefore, the team must be composed of multidisciplinary professionals

the selection scope of the members of the product development team should be expanded from a centralized and single enterprise to include users and suppliers to ensure the reproducibility and repeatability of experimental conditions

2 enterprise level and project level organization model of concurrent product design

the organizational framework of concurrent product design is shown in Figure 2. The enterprise level organization is composed of the product technical and Economic Committee and several reviewers. Also known as macro organizational model. Product technology (about 20% of which are producing PLA related plastic materials & Economic Committee) is responsible for formulating medium and long-term plans and short-term plans for product development; Formulate specifications and standards for product development; According to the product development plan, establish the corresponding project team framework, including the project development objectives, the knowledge structure, tools and resource allocation of the project leader and project team members; Evaluate the development process; Coordinate conflicts between projects. The reviewer is responsible for reviewing the project implementation plan and the phased report submitted by the project leader, and deciding whether to submit it to the product technical and Economic Committee

Figure 2 organizational framework of concurrent product design

the project level organization is composed of project leaders, unit reviewers and project members. Also known as microstructure model. The project manager is responsible for accepting the development tasks assigned by the product technical and Economic Committee; Set up a project team; Propose project implementation plan, tools and resource utilization plan; Assign the decomposition task to the members of the project team; Coordinate process conflicts and other work. The unit reviewer is responsible for reviewing the tasks submitted by the members of the unit subsystem, deciding to pre release the design unit information or send feedback to other subsystems. Members of project use resources and tools according to their permissions, submit development tasks on time, and make requests to coordinate conflicts as needed

3 PDM based organization management

pdm is an enabling technology that supports concurrent engineering, manages all product related information and process information, and enables all people involved in creating, communicating, and maintaining design intent to share and transmit all heterogeneous data related to products throughout the information lifecycle. Based on the PDM system, this paper develops and completes the organization management subsystem, provides an effective organization modeling tool for concurrent product design, realizes the organization status tracking of the design process, personnel performance evaluation, and realizes the optimal scheduling of organizational resources

Figure 3 PDM based organization management information model

as shown in Figure 3, an organization management information model based on PDM is established by using IDEFIX modeling and analysis method. In the actual concurrent product design, people are bound to be in a multi task state, or even a multi project multi task state. Therefore, the status information and dynamic ability of personnel are very important for the efficient scheduling of organizational resources. The "equivalent load" and "weight indicator" attributes of a task describe the status information of personnel. Performance, as a sub entity model of the task, provides dynamic capability information for the organization of resource scheduling of China's concrete machinery industry with a sales volume of more than 90billion yuan in 2010. Among them, the attribute of "quality index" reflects the constraint satisfaction of personnel submitting tasks (time constraints, cost constraints and other related constraints), "collaboration index" attribute reflects the coordination of relevant personnel in the process of task execution, and the attribute of "innovation index" reflects the innovation degree of submitted tasks, The attribute of "domain knowledge indicator" reflects the relevant domain knowledge and proficiency of using tools embodied by personnel in the process of performing tasks. Using task status information, performance dynamic capability information and personnel database can realize the optimization and rapid scheduling of organizational resources at enterprise level and project level

organizational resource scheduling may occur at any time in the process of concurrent product design, such as assigning new tasks, establishing project teams, etc. This paper establishes a fuzzy scheduling mechanism for organizational resources, and its basic steps are as follows:

generate a candidate set from the performance table according to the task requirements, that is, uperson={person1, person2,..., personn}

generate a dynamic evaluation rule set: ruleset={task proximity evaluation rules, task load evaluation rules, task completion quality evaluation rules, collaborative evaluation rules, innovation evaluation rules, domain knowledge evaluation rules...}. According to the collected performance information 1, main use and current task status information, the premise, conclusion and fact fuzzy subsets a, B and a 'of the rule are generated through the rule membership function, and lukasizewicemohu fuzzy implication operator (formula (1)) is selected to generate the rule fuzzy matrix r={rij}nm. A 'and R use sup-t3 synthesis operator to generate conclusion subset B'

the comprehensive evaluation fuzzy subset b'person is generated from the evaluation rule weight subset {pi}m and the conclusion subset of each evaluation rule. The algorithm is formula (2), where i=1, 2,..., M is the rule sequence number, j=1, 2,..., K is the element subscript in the fuzzy set B 'person; Bi is the conclusion fuzzy set obtained by starting the i-th rule

comprehensive evaluation scheme. The closeness between B 'person and reference fuzzy subset B' reference is calculated by Euclidean distance algorithm, and the comprehensive ranking scheme of candidates is obtained