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2022-08-14
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Accelerate the realization of intelligent manufacturing through production process management (PPM)

Abstract: the manufacturing industry can obtain the best management at the process level. The process is end-to-end, which is cross functional, cross department, cross site and cross function. They should be dynamic and can be updated to ensure that the manufacturing system maintains a certain agility to potential business changes

production process management (PPM) uses process design and management tools to improve the level of intelligent manufacturing. This article lists 12 tips for using ppm

in today's manufacturing environment, there is always an information gap in business processes. Major systems such as enterprise resource planning (ERP) or product lifecycle management (PLM) systems are based on or focus on local issues, which means that business processes are not cross functional

production process management (PPM) is a professional version of business process management (BPM), which can act as a missing link to support intelligent manufacturing. Ppm defines the concept of applying process design and management tools to manufacturing plants and supply chain activities both inside and outside the enterprise

how does the existing process work? Business processes, especially those related to the factory floor, produce products according to sequential requirements. However, it is difficult to fully integrate all the necessary data management into one package

for example, the HR application has detailed work history, salary management, performance appraisal and other items in the ERP system, covering very detailed content. However, when the manufacturing execution system (MES) needs to confirm the training qualification at the workstation, it must be switched to manual operation to complete

another option is to ask the information technology (it) department to establish custom applications. In the above example, a lot of information is missing before the supply process is even halfway through, which may lead to errors. The implementation of the system requires multiple electronic systems to work together in automatic and manual steps. Errors in each link may also cause serious losses to the system

"using a process centric approach to support production is a key factor in implementing intelligent manufacturing."

purpose of intelligent manufacturing

a key goal of intelligent manufacturing is to eliminate the process gap, including the steps of manually searching information in various electronic systems. It can be said that the task is arduous

the problem is that in every automatic or manual process across the enterprise, various process data are intertwined. Historically, if we try to realize this function through system integration software coding technology, disappointment is always greater than satisfaction. There are several differences between intelligent manufacturing and this process:

standards: intelligent manufacturing has made great efforts in formulating and promoting standard methods, interfaces and technologies to exchange information between application software

new applications: new applications are being developed to address specific operations such as inventory movement, energy management, or environmental management issues

process management: advanced intelligent manufacturing suppliers are providing a new tool to assist users in planning, modeling, inventory, and managing business and production processes

process execution: in the past few years, the use of workflow and business process management software systems has grown significantly. These methods strengthen the information management and communication in the factory workshop

workflow and process management role

the latest concept of workflow and process management aims to focus on supporting business processes rather than the characteristics and functions of isolated applications. The workflow is composed of mutually coordinated and repeatable business activities. These activity systems 1) flow channels are designed to convert resources into processes, including converting materials, providing services or processing information. These methods are designed to retrieve from data sources as needed and provide data elements to complete the work

for example: retrieve and pass the work order to the assembly workstation for display. This action may require obtaining information from multiple sources, but the key is to transfer this information to the workstation to realize reflective insulation and radiation insulation, focus on the business process, and focus on providing the necessary information to support each step of the process

"the manufacturing industry can get the best management at the process level. The process is end-to-end, which is cross functional, cross department, cross site, cross function. They should be dynamic and can be updated to ensure that the production and manufacturing system maintains a certain agility to potential business changes."

ppm improves intelligent manufacturing

production process management (PPM) defines the concept of applying process design and management tools to help in the areas of production planning and supply chain activities within and even across extended enterprises

the design of the process follows time steps and depends on how the company wants to operate the business. This is mainly achieved by connecting and supporting predefined, sequential execution of events and providing correct role-based information. A process can be completed automatically Zhang Weidong, deputy general manager of Ningbo Haixiong Plastic Machinery Co., Ltd., who finished the exhibition manually, said: "now the living standard has been improved, or it is a combination of the two ways. A key requirement is that this process can meet the given business needs, and after configuration, it can provide a simple method to complete the revision and improvement.

intelligent manufacturing leadership Alliance (SMLC) And other organizations support the method of process centered information management, and give 12 specific suggestions:

1 Providing data to applications, rather than applications, can separate data from applications and improve the old manufacturing mode

2. Provide operable data, credibility and visibility for the whole supply/value chain

3. Manage the standardized decision-making process based on structural adaptability and autonomy

4. Deploy applications that can share data. Data can be shared by different applications, and applications can connect to other applications to achieve horizontal enterprise views and operations

5. Build applications across different time constraints and boundaries, including supply/value chains

6. Ensure that the application is under control

7. Managing and supporting applications/processes through an enterprise level platform can become a company wide standard to deal with the information system infrastructure of existing local factories

8. Establish information tools that can make the company's performance stand out, and provide competitive advantages for the company through operation and information management technology

9. Create easy to understand applications/processes and continuously improve to address changing business needs

10. Adopt advanced information management concepts and allow business processes to become independent intellectual property rights of the company

11. Build an easy to manage, low-cost information management infrastructure to provide more support for users

12. Computer driven processes can be supported by manual participation, full automation, or a combination of both

using a process centric approach to support production is a key factor in implementing intelligent manufacturing. Its purpose is to establish a new understanding of information management within the enterprise, but it is not easy to succeed because of the high cost of it, the large information gap, and the anxiety of buyers

from a top-down and strategic perspective, based on how to run the business and use information to build and maintain a competitive advantage, such a process view will provide manufacturers with a broader vision. The problem is response and global operability, not data collection and equipment efficiency. The main body of the execution process is the automation device, and how the process is defined and managed is the tactical behavior that supports the enterprise strategy

the manufacturing industry can get the best management at the process level. The process is end-to-end, which is cross functional, cross department, cross site and cross function. They should be dynamic and can be updated to ensure that the manufacturing system maintains a certain agility to potential business changes

for example, ERP starts from the end-to-end process and focuses on the business foundation. In the horizontal dimension, it must extend to the value chain, and go deep into specific details to support each step of production activities, and provide appropriate role-based information

the perspective of the future will be less based on a certain function of the application, but more based on how information from any information source can best support users' business and production processes. To paraphrase an old political Maxim popular a few years ago, "this is the process."

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