Collection of PLM Basic Concepts

1. What is PLM?

2. What can PLM do?

3. How to Use PLM?

4. How can we implement PLM in a programming language?

 

 

ERP: Enterprise Resource Planning System

SCM: Supply Chain Management System

CRM: Customer Relationship Management System

PLM: Product Lifecycle Management System

 

Definition of PML:

PLM (product life-cycle management) is the product lifecycle management. It includes four stages: training, growth, maturity, recession, and renewal. PLM minimizes the R & D cost during the training period and maximizes the enterprise profit during the long term to the early stage to reduce costs and increase profits.

 

Strategically, PLM is a product-centric business strategy. It uses a series of commercial solutions to collaboratively support the generation, management, distribution and use of product definition information, spanning the entire enterprise and supply chain from a region, it covers the entire life cycle of the product's mission from the conceptual stage of the product to the end of the product.

In terms of data, PLM contains complete product definition information, including all mechanical and electronic product data, including software and file content.

Technically, PLM combines a complete set of technologies and best practices, such as product data management, collaboration, Collaborative Product Commerce, visual simulation, Enterprise Application Integration, component supply management, and other business solutions. It communicates with all OEMs, subcontractors, external vendors, partners and customers in the extended product definition supply chain.

In terms of business, PLM can develop potential businesses and integrate current and future technologies and methods to efficiently bring innovative and profitable products to the market.

In terms of development, PLM is rapidly transforming from a competitive advantage to a necessity for competition and becoming the only way for enterprise informatization.

 

In the web environment, PLM becomes the Foundation from the market point of view and product data set throughout the lifecycle, the purpose of this study is to manage and coordinate products from product planning, design, manufacturing to sales in their lifecycles, so as to shorten product time-to-market, reduce costs, and satisfy users' personalized needs as much as possible. It provides enterprises with integrated product collaboration and manufacturing systems that support rapid product design and manufacturing optimization.

 

PLM runs through the entire product lifecycle. It is not a ready-made tool or software, but an overall solution.

 

Cad: Computer Aided Design, Computer Aided Design

 

Key PLM Technologies

The Development and Application of PLM technology should focus on the following technical aspects:

Design and technical implementation of component-based complex architecture in the Internet environment

Plms operation coordination mechanism and Maintenance Management Technology

Features, descriptions, and interface definitions of plms Components

The original model construction definition for product lifecycle is supported.

Ing policy and automatic conversion technology for data models of distributed heterogeneous products

Hierarchical cross-stage Collaborative Working Process Modeling Technology

XML-based Open Information Integration and dynamic process Alliance Technology

Multi-dimensional view Product Data Organization Based on Semantic Network. Management and Operation Technology

Collaborative engineering and project management technologies based on the full lifecycle of products.

 

Major PLM suppliers: edsplm; matrix One, SAP, agile, agile, IBM ds, PTC, Oracle, Baan

 

 

The Teamcenter system is a management tool for data management. It is more clear that the Teamcenter system is a tool that can be used when enterprises manage data and is only a software.

 

PDM (Procuct Data Management) refers to management, product data management, and enterprise management behavior.

What can Teamcenter bring to us?

As a software, it provides a series of excellent data management functions to help enterprises implement their data management intent and achieve the goal of better data management.

All we have to do is learn to use it, use it to serve us, and learn to use a software.

 

What can PDM bring to us?

· 1. improve enterprise management.

· 2 the formation of technical knowledge accumulation, accumulating knowledge and wealth for enterprises, and providing reference experience for future users.

· 3 historical data plays a leading role in identifying and improving the technical level and enhancing the core technical competitiveness of enterprises.

· 4. Promote visualization, standardization, standardization, and informatization.

Unlike learning to use a software, PDM requires us to create a management mode and implement it.

 

The ultimate goal of PLM is to allow various data management tools (such as product R & D, design, procurement, production, and after-sales service) to use the same language, communicate with each other, and work collaboratively, to improve enterprise production efficiency and product innovation efficiency,

 

Prior to the emergence of the PLM concept, PDM mainly targets data and process management during product R & D. Under the PLM concept, the concept of PDM has been extended into a CPDM, that is, a collaborative PDM can be used to implement collaborative application of product data between R & D departments, related departments of enterprises, and even enterprises.

 

Relationship between PLM and PDM

PLM greatly expands PDM in terms of concept, including: (1) PDM focuses on data management in the internal product R & D stage of an enterprise, PLM emphasizes all information management across the supply chain in the product lifecycle, including marketing and procurement. (2) PDM focuses on Product Data Management, while PLM emphasizes the full use of enterprises' intellectual wealth. (3) PDM aims to improve product development efficiency, while PLM is to improve product innovation and design capabilities. (4 PDM manages product data, while PLM manages the product lifecycle. PDM can be considered as a subset of PLM (5). It can be visually expressed as PLM = PDM. PLM is not a solution, but a dynamic and gradual process of continuous evolution. Therefore, enterprises must follow certain methodologies or strategies to accurately build their own PLM system platforms,
Achieve the expected goal.