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In the past, the marketing strategy and sales of chemical companies tended to lag behind the production process. As a result, companies only sold products, ignoring the market's requirements for product quality and performance. Now, the production model of chemical companies began to change, and production plans and production plans can be formulated based on historical data, and performance evaluation and analysis of plans and actual production performance are conducted. Companies are more concerned about: do we want to sell the products sold? Can our products meet market demand?
However, in the actual business process, the plan cannot be completely accurate. The role of historical data analysis is limited, so when it is trying to make the plan accurate, it also needs to perform “detection and response†in the process, which can make up for the limitations of planning and forecasting.
After adding the "detection and response" link, the gap between the plan and the actual can be gradually reduced. By detecting actual information, such as VMI updates, supply chain exceptions, downstream sales forecasts, and promotional plans, and responding quickly to information, companies can adjust production plans and production capabilities to meet real-time requirements.
Prior to the supply chain network, the planning process has been confined to the enterprise, using enterprise application software such as ERP, CRM, and SCM. But now it is necessary to break the boundaries of the enterprise and receive new data streams from partners. For example, a dye manufacturer knew in the first few weeks of the Milan Fashion Week that this fall will replace the spring pop color with red. This data can be immediately stored in the CRM system of a certain Milan garment manufacturer, while the supply chain solution SCM allows companies to purchase red dye raw materials from a chemical company upstream of the supply chain, while the ERP system can manage and red dyes. All related requirements, as well as the customers who generate the demand.
The executive link is, in a nutshell, a refinement of the steps in an enterprise's business process, thereby maximizing the ability to collaborate with partners. In the implementation process, the best business practices need to be adopted, and the best business practices have been enhanced within the entire supply chain network, that is, through the integration of information to achieve the transparency of the relevant departments to grasp the information. All forecasting models, supply chain steps and production are first run within the company and then begin to automatically connect with partners. For example: VMI's processes allow automated systems to obtain continuous data streams from VMI sites and global chemical markets, detecting products at customers The reserves in storage tanks guide the production of enterprises, and at the same time continuously recalculate the profits of enterprises according to the floating basic chemical energy costs. The ability to detect the latest trends will enable companies to respond quickly to changing customer needs.
The KPI index is the most important and scientific basis for business leaders to make decisions. In the past, due to the large amount of data required, KPIs were difficult to measure in real time. All technologies now guarantee the real-time collection of data, such as temperature and barometric pressure measurements in the production process, or customer stock consumption rates. These data will be automatically collected and measured by real-time analysis.
The ability to respond quickly to data flow allows chemical companies to maintain adaptability and continued competitiveness in the event of mass production. In the business process, the data obtained from the partners or from the network is further refined, the original forecasts and processes are optimized, or new forecasts and processes are directly established.
In adaptive manufacturing solutions, partner information can be managed through exception information. The automated system will collect, analyze, and classify the data in business applications, requiring manual intervention only during unexpected events. The company will release the management time and effort originally used for daily processing, invest in new sales opportunities or increase competitiveness. By establishing a standard, service-driven, flexible and integrated event-driven IT platform, such as SAP NetWeaver's integrated platform, all participants in the supply chain network will be able to expand and modify existing business models to meet the future potential Encountered competition.
SAP is the world's leading provider of enterprise management software and collaborative commerce solutions. More than 80% of the Fortune 500 companies have adopted SAP Business Solutions solutions. Sap. Com/china
Planning, execution, testing and response constitute the basic elements of adaptive manufacturing in chemical companies. The adaptive manufacturing environment built on the entire supply chain network is not limited to the internal business.