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Players’ ability is not bad, and the men’s football team will have a future by solving three problems： good selection, training and eliminating interference.

What is the ability of national football players?

As long as it is 99% of the professional team, it can completely explode the amateur team. This is true even for retired people or teenagers, without exception.

This shows that our players, no matter how old they are, have a very good command of basic skills.

But it is such outstanding players, after layers of selection, and then form national teams of all ages. Does it become a poor basic skill? This is impossible, so don’t say that the player’s basic skills are poor in the future.

The national football team plays against opponents, whether it is against the Philippines or against the South Korean team. Always moving out of shape, to put it bluntly, it is nervous. Only according to the strength of the opponent, the degree of tension is different. But in a word, it’s just nervousness. This is to make the fans look as if they can’t catch the ball, pass the ball incorrectly, and panic.

What does the tension come from? First, I don’t know my opponent, second, I don’t have confidence in my ability, and third, I have pressure on my grades.

Undoubtedly, as long as they are selected for the national team, they all want to play well. There is no problem with the attitude of the game.

Having said that, our national team men’s soccer players are very reliable in passing and catching the ball and shooting in the face of unprofessional confrontation. But as long as it is in the face of professional confrontation, especially when the strength is stronger than oneself, the body is higher than oneself, the frequency is faster than oneself, and the tenacity is stronger than oneself. That is an inevitable defeat.

Some are innate, but some need to be achieved through boring and repeated training. We are not good at confrontation, so we need to reflect. Is our training intensity in place? Training for war means that the intensity of training must be large, but it should be reasonable, and the players should not be injured because of the intensity.

Only by eating hard can you have confidence in the game. Because you have seen these things in training, you can easily cope with them. This is the purpose and function of training. Training that fails to achieve this effect is ineffective and formalistic.

The basic quality of our players is really not bad. Look at the young players in the ordinary amateur stadium and football school. They all play in a good way. It is said that our football population is small, but it is actually quite a lot, and it is for all ages.

The reason why we are now looking at our men’s football team is that outstanding talents cannot be selected, the training is unscientific and not serious, and there are too many interference factors. If these three problems are thoroughly solved, it will be difficult for us men’s soccer team to be excellent.

Now it’s time to remove the interference factors. Our men’s soccer team is much more normal, even more than normal. For example, if the U20 men’s soccer team holds the U20 Asian Cup in 2022 and faces the same opponents, it is estimated that it is impossible for the group to qualify. Our men’s soccer team still has a future, and we also have good prospects. What we need to do is to make our football soil suitable for them to thrive. Do not pull out the seedlings and encourage them, nor deliberately suppress them.

In-depth analysis of the present situation and development prospect of intelligent manufacturing in China

Recently, the "Government Work Report" was officially released in 2023. The government work report also made important arrangements for the development of industrial industry, emphasizing "accelerating the construction of a modern industrial system, accelerating the digital transformation of traditional industries and small and medium-sized enterprises, and striving to improve the level of high-end, intelligent and green." In view of the difficulties encountered in the process of digital transformation of manufacturing enterprises, Zhang Jianwei, director of Lenovo Consulting and Delivery Center, shared the successful cases of digital intelligence transformation of Lenovo-empowered intelligent manufacturing enterprises, which can provide Lenovo’s practical experience for manufacturing transformation.

The concept of intelligent manufacturing is not a new topic in China. Looking at the development market of enterprises in China, we summarize the core problems that hinder the development of intelligent manufacturing as follows:

Lack of practical methods:With practical methods, enterprises can put their ideas to the ground. At this stage, enterprises are more discussing concepts and strategies, and lack the implementation methods of strategy landing;

Lack of valuable entry point:China’s manufacturing industry is in urgent need of intelligent manufacturing, and the value that intelligent manufacturing can bring to China’s manufacturing industry is also considerable, but from which level and angle should we cut in? It is an important problem that puzzles the CIO/CTO of enterprises;

Lack of best practices:In the absence of best practice cases, China enterprises should rely more on their own self-reliance, cross the river by feeling the stones, and open up a road of their own practice.

As a representative enterprise of China’s advanced manufacturing industry, Lenovo believes that the core of intelligent manufacturing of China enterprises is to aggregate total data, intelligently drive business changes, realize the continuous realization of digital value by solving practical business problems, and then complete the intelligent iterative upgrading of manufacturing industry. To this end, Lenovo has built an intelligent manufacturing panorama with data-driven intelligence as the core. Simply put, Lenovo Intelligent Manufacturing Panorama can be divided into three layers:

The first layer: the element layer.

Focus on the manufacturing factors concerned by the traditional manufacturing industry, including labor equipment, raw materials, process environment and a series of contents, and realize the complete digitalization of the basic level through the digitalization and intelligent upgrading of the manufacturing factors; Realize the interconnection of all things through advanced digital technologies such as industrial internet, integrate production factors together, better form a whole, and play the relevant value of production factors from the perspective of the whole value chain;

The second layer: the operation layer

Based on the interconnection of everything in the factor layer, the data generated in the actual production and operation process of enterprises, such as scheduling, manufacturing, supply chain coordination, logistics management and other key links, are integrated into the business layer, and the business development iteration is driven by data value, thus realizing the realization of data value and intelligent manufacturing value;

The third layer: intelligence

Form a relatively primitive intelligent plan, and carry out a series of business intelligence such as intelligent manufacturing and intelligent supply chain collaboration. After realizing business intelligence, based on the complete digitization of output data and elements, it can realize global visibility and intelligent decision-making for managers, and then move towards the final so-called data-driven. Without decision-making by human beings and intervention by managers, the data-driven business is realized completely through data, artificial intelligence and related digital technologies, and the continuous optimization of the operation and management of the whole enterprise is realized.

After constructing the panorama of intelligent manufacturing transformation, Lenovo carried out the practice of internalization and externalization in the following years, which brought many values to the actual development of manufacturing industry:

Intelligent manufacturing scene landing
Optimization of battery manufacturing process

New energy battery is one of the hot development industries in the world. Based on advanced technologies such as big data and machine learning, Lenovo applied LEAP HD and LEAP AI platforms to build a capacity prediction model to optimize the constant volume process of energy storage batteries.

In the process of battery production, the battery capacity needs to be fixed and divided to determine whether the battery meets the standards. In this process, enterprises are faced with problems such as long time consumption, high space occupation, high cost and high labor consumption. In the whole process optimization scheme, Lenovo has effectively helped customers to improve the on-time delivery rate, inventory cost, capacity utilization rate and comprehensive energy efficiency from three perspectives: key process data processing, accurate model prediction and sustainable development, and realized the optimization of battery constant volume and capacity separation process:

Business consultation:Clear up the key process sections through consultation and communication, including what are the key parameters that affect the quality? Where are the relevant data that affect these parameters? What are the data sources? Help customers to understand the current situation, plan their goals and prepare relevant plans;

Data integration:Through big data technology, a series of data such as related processes and equipment quality inspection are integrated to lay a good foundation for the later artificial intelligence algorithm and ensure the smooth operation of computing power;

AI algorithm implementation:Through the preliminary analysis, the specific data content and the specific core parameters affecting the process are clarified, and the relevant business analysis is carried out to help customers jointly optimize the relevant parameters, so as to achieve the final process goal optimization.

In the process of upgrading and optimization, Lenovo builds a dimension reduction model through logical modeling, including related methods of artificial intelligence and collective learning, to ensure the stability of large-scale data processing, the accuracy of prediction model and the guarantee of sustainable development, and solves the bottleneck of prediction model in actual production and operation by applying multi-strategy network optimization and machine learning model.

After the project was put into production, the construction period in the whole production process was shortened from six days to one day; Product inspection is realized by artificial intelligence algorithm, which improves the overall inspection efficiency and site utilization rate by 30%; Also with the help of artificial intelligence, the number of technicians decreased from 20 to 10. It is predicted that the optimization scheme can save about 270 million manufacturing costs for the production of single battery every year.

Intelligent manufacturing scene landing
Improvement of warehousing logistics performance

In the field of logistics, the focus of transformation is more on the optimization and management of warehousing. Many enterprises, especially those like Lenovo, take up a large part of the inventory cost. If there are too many offline warehouses, it will affect the inventory cost and occupy the whole production market, which may lead to risks for the site and space. If there are too few side libraries, it will lead to insufficient capacity utilization and unable to carry out continuous production reasonably. These two problems can be overcome by enterprises through the warehousing and logistics solutions of digital factories.

Line-side warehouse is also the storage part, which involves not only the warehouse, but also related processes and related equipment, including related information systems. To solve these problems, a complete solution is needed.

In the past, the solutions in the market were mostly piecemeal. If the equipment efficiency is not high, change the equipment and change it to more intelligent equipment. If the information communication is not smooth, increase the information system; If the process is not clear, sort out the process. In fact, this has brought great waste to the investment of enterprises, and the cycle and yield of the whole project will also be greatly reduced. On this issue, Lenovo has adopted a three-part approach.

First of all, help customers smooth the process through preliminary consultation, and identify the pain points, difficulties and problems to be solved in the online library management process. Then, based on the overall scheme, aiming at the combination of hardware and software and the combination of reality and reality, the related storage equipment is upgraded.

At the same time, digital systems such as WMS and WCS can fully mobilize the factors of production between equipment and people, so that these factors of production can better form a closed loop of value under the drive of informationization and digitalization, and improve the overall efficiency, thereby improving the management and application efficiency of the entire line-side library, reducing inventory and improving the continuous productivity of the production line. After practical application, the scheme has improved the overall storage capacity by more than 15%, the distribution efficiency of the roadside warehouse by 25%, and the accuracy of inventory delivery by 100%.

Intelligent manufacturing scene landing
Optimization of planned production scheduling system

As a upstart in the industry, this customer has developed very rapidly in the high-tech industry in recent years, and its business is growing at a rate of 200% or even 300% every year, which also brings great problems. The high-speed business development makes it difficult for its existing information support auxiliary means to provide the required support, which in turn leads to the lower and lower operating efficiency of enterprises, and it is difficult for managers at all levels to control the overall situation and provide scientific and accurate relevant guidance to the business.

Based on this, Lenovo packaged its own digital supply chain package, and used intelligent planning and production scheduling technology as the best practice of endogenous and exogenous strategy landing. Through Lenovo’s similar global delivery mode and complex supply chain network system, it empowered customers to realize the overall digital ability improvement. After the implementation of the project, it has effectively helped customers to improve the on-time delivery rate, inventory cost and capacity utilization rate, including the comprehensive number of people and energy efficiency.

In addition, Lenovo has joined hands with manufacturing enterprises in chemical fiber manufacturing, automobile manufacturing, wind power manufacturing, hydropower manufacturing, hardware manufacturing and other fields to provide digital and intelligent transformation services from hardware to software, which has achieved a comprehensive improvement in the hard power of enterprises.

In the future, Lenovo hopes to co-create its own business practice with its customers’ business, integrate its own computing power and infrastructure capabilities with its customers’ business development scenarios, and join hands with more manufacturing partners to go further and faster in the process of digital modernization and transformation.

Telegraph： Manchester United’s transfer is unlikely to be completed in March and April, and it is more likely to be delayed until June.

Live broadcast on March 11th According to the Daily Telegraph, with the hope of the club’s rapid transfer fading, the Glazer family’s process of selling Manchester United may continue to be delayed until the end of this season.

The Glazer family now thinks that if they decide to transfer the club’s firepower, they will sell Manchester United before the summer transfer window opens in June. Their goal is to complete the transaction before the first quarter of this year or the end of April, but according to informed sources, this possibility seems to be getting smaller and smaller, and it is considered a more realistic time frame to complete the transfer before the summer window opens in June, if the Glazers receive an acceptable offer.

The Glazers hope to sell Manchester United to at least 5 billion pounds, but it is believed that the bids of Sheikh Jasim Al Thani and Sir Jim ratcliffe are currently lower than this valuation. It is understood that the senior manager of Elliott Management, an American hedge fund, went to Manchester this Thursday and met with Rene Bank, a commercial bank in charge of Manchester United’s transfer process, and representatives of Rothschild, the Glazer family financial adviser. In the evening, representatives of Elliott Fund went to Old Trafford to watch Manchester United beat real betis 4-1 in the Europa League. This interview marks the opening of the second stage of Manchester United’s sales process. Next week, Sheikh Jassim and representatives of ratcliffe’s Ineos Group will go to Old Trafford to attend a detailed meeting.

According to people familiar with the matter, at least four companies are interested in acquiring Manchester United, although only Jassim Al-Thani and ratcliffe are open bidders at present. The source told the Daily Telegraph that although the Glazer family’s 18-year ownership of Manchester United has been negatively evaluated due to long-term fan protests, they will only "resolutely sell" if they receive the right price. Next week, potential bidders will inquire about Manchester United’s more detailed financial information, and have the opportunity to carefully inspect Old Trafford Stadium and Carrington Training Base, which need a lot of investment to improve in the future. A source said: "They will have the opportunity to look at something more internal."

Elliott Fund does not intend to directly acquire Manchester United Club like Jassim Al Thani or ratcliffe, but is ready to provide acquisition funds for an interested enterprise. They owned AC Milan before selling the club to Hong Niao Capital, an American investment group, last year. In addition, several American hedge funds, including Ares, MSD Partners and Oak Management, are also said to be willing to provide financing for potential acquirers.

The timing of the announcement comes just before United’s process of determining the sponsor of next season’s jersey advertisement begins. They can find a new sponsor, but industry experts will not be surprised that Team Viewer will stay on the chest of Manchester United jerseys next season. A number of sources said that Manchester United will not rush to determine the sponsor of the jersey, especially in the case that the club may be about to transfer. They are still determined to find a suitable advertising partner. Richard Arnold, CEO of Manchester United, said at the World Economic Forum in Davos in January that Manchester United has attracted the interest of many potential sponsors.

Teamwiewer is under great pressure from its investors to suspend the sponsorship deal with Manchester United. The sponsorship originally expired in 2026, but the company’s performance has been deteriorating. If, as estimated, Team Viewer stays on Manchester United’s jersey next season, then Manchester United may change to a new chest advertising sponsor in 2024-25.