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Normalization refers to the process of standardizing multiple elements or indicators. In the manufacturing industry, it refers to reducing and standardizing variations and imbalances in business processes. By normalizing operations, stable productivity and improved quality can be expected. Since variations in work are less likely to occur, it also alleviates the burden on employees and can reduce costs through the elimination of waste. Additionally, it allows production activities to proceed as planned, creating a buffer that makes it easier to respond to emergencies and engage in improvement activities or innovation. *For more details, you can view the related links. Please feel free to contact us for more information.*

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The reason why digital transformation (DX) in the manufacturing industry is not progressing is that companies find it difficult to grasp the benefits of implementation. Even though "manufacturing industry DX" can be summarized in one phrase, the initiatives vary widely, and naturally, the initiatives that companies should adopt differ from one another. Regarding manufacturing industry DX, with IT integration and the use of AI as representatives, the range of initiatives is extensive, making it hard to envision the best form of manufacturing industry DX suited to one's own company. As a result, many companies may struggle to see the benefits of initiatives aimed at DX transformation. Even if companies understand the benefits of manufacturing industry DX and wish to implement it, they may face budget constraints. Additionally, promoting manufacturing industry DX requires securing personnel and an environment with specialized knowledge, and it seems that many companies are struggling with this challenge.

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Typical challenges for improving productivity include inefficient current business processes and a lack of technical skills on-site. Internal communication issues, inappropriate personnel allocation, and decreased employee motivation are also representative challenges that hinder productivity improvement. In the manufacturing industry, improving productivity is a crucial item directly linked to profit pursuit and corporate growth. By identifying and understanding the current challenges, and addressing and improving them appropriately, companies can achieve significant results. *For more details on the column, please refer to the related links. For further inquiries, feel free to contact us.*

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Many people may be concerned about whether jobs in the manufacturing industry will disappear due to the introduction of AI and how they will change. To conclude, it can be said that the likelihood of jobs disappearing in the manufacturing industry is low because it is a physical industry. However, the introduction of AI in manufacturing will lead to the replacement of certain tasks and a demand for new ways of working, and naturally, changes in the environment will occur. It is also important to be aware of the concept of "collaboration" as a key to the future developments of AI in manufacturing. In this article, we will explain the changes in the environment that will occur in manufacturing jobs due to the introduction of AI. *For more detailed content of the column, please refer to the related links. For further inquiries, feel free to contact us.*

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The labor shortage in the manufacturing industry is serious, and it faces various corporate challenges. The background of the worsening labor shortage in manufacturing includes a declining workforce due to low birth rates and an aging population, difficulties in passing on skills, and a departure of young people due to the image of the "three K's" (hard, dirty, dangerous). To resolve the labor shortage, it is important to create a production environment that can operate with fewer personnel and to secure new talent, including young people. For manufacturing companies to enhance their competitiveness, it is also crucial to focus on developing manufacturing talent with an eye toward digital transformation (DX). *For more details on the column, please refer to the related links. For further inquiries, feel free to contact us.*

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We would like to introduce a case study of IT tool development conducted at Company A, a large machinery assembly manufacturing company. The company faced challenges due to the inability to manage the status of parts after ordering. As a result, inquiries from the manufacturing line regarding when necessary parts were delivered took a long time to respond to regarding the order status. We implemented a system that automatically assigns a unique part number at the time of ordering, allowing for immediate responses regarding the status of the processes from ordering to delivery and assembly based on the part number. [Case Overview] ■ Challenges - Inability to manage the status of parts after ordering - Inability to identify which line the delivered parts are to be used on - Lack of understanding of who took the parts from which line ■ Effects - Reduced the time required for responses regarding the status of parts by 70% - Enabled better understanding of itemized billing from vendors *For more detailed information about the case, please refer to the related links. For further inquiries, please feel free to contact us.

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• Other operation management software

We would like to introduce a case study of operational improvements conducted at Company B, a building materials manufacturing company. The company consulted us to examine the surplus and shortage of storage space for various types of road construction materials, as they planned to expand their manufacturing line, and to provide specific improvement measures once the shortage areas were identified. As a result of the simulation, it was found that the initial plan indicated a shortage of approximately 500m2 of storage space, but it is now expected that a surplus of up to approximately 250m2 can be secured. [Case Overview] ■ Issues - Examination of surplus and shortage of storage space for various types - Request for specific improvement measures once shortage areas are identified ■ Effects - Identification of types with expected storage space shortages - Expectation of securing a surplus of up to approximately 250m2 of storage space *For more detailed information about the case, please refer to the related links. Feel free to contact us for more details.

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Our company provides business improvement consulting services for the manufacturing industry. We possess a wide range of business improvement know-how in various sectors of manufacturing, including steel, automotive, food, pharmaceuticals, and scientific materials. Utilizing the expertise gained from diagnostic and analytical work in the manufacturing industry, we offer analytical support for public sector projects, as well as various analysis and improvement services using machine learning and statistical analysis across a broad range of business areas. 【Main Services Offered】 ■ Diagnosis and business improvement in manufacturing sites ■ Various analytical services ■ System planning, development, and support *For more details, please download the PDF or feel free to contact us.

• Management consultant/Small business consultant