4.

3.

It conducts quality management and monitoring in accordance with the ISO9001 international quality certification system, and has passed the three-system quality, environmental, and occupational safety and health certification.

Based on the information required by the diagnosis enterprise and the production characteristics of the industry, a team with rich experience and deep understanding of “intelligent transformation and digital transformation” is established to implement on-site diagnosis activities, and a complete, reasonable, standardized, and detailed diagnosis plan is developed.

Current situation of enterprise informatization: Xuzhou Longshan Cement Co., Ltd.

5.

In January 2004, it was transformed from a state-owned enterprise into a private enterprise.

（2） Diagnostic service 1.

Hold a diagnostic service kickoff meeting.

Connect the diagnosis organization’s own situation, diagnosis plan, and matters requiring cooperation from the enterprise.

Understand the diagnosis needs of enterprises in advance based on the information provided by the municipal industrial information evaluation service platform.

At present, the enterprise has 600 employees, 80 of whom are technicians, covering an area of 400000 square meters.

Prepare various diagnostic documents.

Identify weaknesses in enterprise intelligent manufacturing, benchmark intelligent (industrial Internet benchmarking) factories and intelligent workshop construction standards, and objectively analyze the gap between the current level and the advanced level of the industry.

Provide consulting services.

Prepare a diagnosis plan.

(formerly Xuzhou Longshan Cement Plant) was founded in 1980, located in the north of Mount Huangshan Village, Jiangzhuang Town, Jiawang District, Xuzhou City.

Enterprise Background Xuzhou Longshan Cement Co., Ltd.

Organize personnel training.

We should focus on people and improve their quality and ability.

The diagnostic agency shall maintain the confidentiality and security of enterprise information, data, documents, and records, and sign a confidentiality commitment.

In response to problems such as a shortage of intelligent manufacturing talents, a weak concept of lean production, and unclear input and output for intelligent transformation, diagnostic institutions should provide enterprises with specialized training on “intelligent transformation and digital transformation” that conforms to the characteristics of the enterprise, providing in-depth and simple understanding of the popularization of intelligent manufacturing, industrial Internet knowledge, new concepts such as agile manufacturing, flexible production, and digital twins, as well as new models such as intelligent design, mass customization, and intelligent operation and maintenance services, Let the concept of “intelligent transformation and digital transformation” take root in the hearts of the people, and improve the level of recognition and talent protection of enterprises for “intelligent transformation and digital transformation”.

Pile Cage Spacer

In order to better play the exemplary and leading role of key enterprises and more intuitively display and publicize the successful cases of “intelligent transformation and digital transformation”, Hanfeng Company, in conjunction with the Municipal Bureau of Industry and Information Technology, has set up a column to share cases of “intelligent transformation and digital transformation” among key enterprises by topic.

After the service team enters the enterprise, a “smart change digital transfer” diagnostic service kickoff meeting will be held with the participation of enterprise leaders and relevant personnel to introduce the “smart change digital transfer” diagnostic service process and the operation methods of the “smart change digital transfer” diagnostic platform.

Combining the early evaluation and enterprise needs, integrate enterprise equipment, systems, personnel, and other resources, focus on the bottlenecks in enterprise intelligent transformation and digital upgrading, and form an accurate analysis, clear organization, clear guidance, and objective and true diagnostic report, providing strong support for enterprises to prepare the top-level design plan for intelligent transformation.

Diagnostic service methods The enterprise diagnostic service process can be generally divided into two stages: (1) Preparation before diagnosis 1.

2.

Conduct on-site diagnosis.

For manufacturing enterprises, “intelligent transformation and digital transformation” is no longer a “choice issue”, but a “required course” related to survival and long-term development.

The diagnostic service team conducts in-depth research on the enterprise manufacturing site, fully understands the opinions and needs of the enterprise for “intelligent transformation and digital transformation”, comprehensively grasps the development status of enterprise intelligent manufacturing, especially the situation of scene integration, system integration, and equipment collaboration, and assists the enterprise in completing maturity self-assessment and integration self-assessment.

Develop a diagnostic report.

2.

The company has abundant limestone mining resources (with a reserve of 250 million tons) and a high calcium carbonate content, providing unique raw materials for the production of high-quality low-alkali cement.

Understanding the needs of the enterprise.

Focusing on the weaknesses of the enterprise’s specific design, production, management, service, and other links, based on the use of intelligent manufacturing equipment such as industrial robots, intelligent sensors, work machines, and the real-time collection, connectivity, and cloud access of data across the entire business chain, in combination with intelligent (industrial Internet benchmark) factory and workshop construction standards and enterprise demands, we provide detailed and accurate information in the form of technical exchanges, on-site guidance, and program reports Pragmatic consulting services, and earnestly do a good job in resolving doubts and doubts.

Promoting intelligent transformation and digital transformation is an urgent need to enhance the autonomous and controllable ability of the industrial chain supply chain and create new competitive advantages in the future.

is building a data collection system covering the production site based on OA, ERP, and MES integrated platforms to achieve data interconnection between the management network and industrial equipment; Driven by order demand, integrate and integrate various business processes, and build a digital production control system that includes production plans, instructions, processes, processes, output, quality, equipment, logistics, warehousing, traceability, cost, information feedback, and processing related to the product production process, to achieve full transparency and traceability throughout the production process, thereby improving production efficiency, reducing production costs, ensuring quality, and reducing energy consumption.

It has one cement clinker production line with a daily output of 4500 tons; 1 cement clinker production line with a daily output of 5000 tons; The company adopts new dry process rotary kiln technology for production, with advanced equipment, and achieves complete automation control.

The diagnostic report specifically includes five parts: basic information of the enterprise, self-assessment of the maturity of the enterprise’s intelligent manufacturing capability, analysis of the weaknesses of the enterprise’s intelligent/digital capabilities, system solution/top-level design/project transformation plan, and service provider recommendation plan.
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