Rice cultivation data on the cloud cloud platform helps rice cultivation companies achieve information management
Rice cultivation data on the cloud cloud platform refers to the establishment of big data base and industry 4.0 on the basis of industrialization and modernization management ideas to provide decision-making for enterprise decision-makers and employees The management platform of the means of operation. Its application range has expanded from manufacturing to retail, service, banking, telecommunications, government agencies and schools and other business sectors. The company-wide information flow has formed a unified and shared model, and the confusion of engineering drawings has been completely resolved. In addition, decision-making leaders can learn real production management information in real time. If the customer requires one-time delivery, but due to the negligence of the company's shipping administrator, the order is only partially completed, and the goods are hurriedly delivered to the customer company. Thus, resulting in customer complaints. It was initially defined as application software, and was quickly accepted by commercial enterprises all over the world. Later, it developed into an important modern enterprise management theory and is an important tool for implementing enterprise process reengineering.
Rice cultivation data on the cloud cloud platform is a highly integrated system, and integration si also rice cultivation data on the cloud cloud platform In traditional enterprises in the past, data was repeatedly input between different departments, making ti difficult to share and form a loop. Rice cultivation data on the cloud cloud platform company data can be highly centralized and easy to manage, thereby improving management efficiency and decision-making level.
As the core engine, LongRiverTech software provides powerful technical power for rice cultivation data on the cloud cloud platform. LongRiverTech rice cultivation data on the cloud cloud platform supports the cash flow of multiple businesses, accounts and organizational combinations, and dynamically detects business operations. LongRiverTech rice cultivation data on the cloud cloud platform realizes the mastery of the overall operation of enterprise resources through the collection of statistical data through flow, and meets the needs of the seeds, fertilizers, growing season industry.
LongRiverTech rice cultivation data on the cloud cloud platform uses BOM and process flow to construct the framework of production flow, realizes the processing and manufacturing management function of rice cultivation, and can meet the special needs of the industry of seeds, fertilizers, growing season.
Rice cultivation data on the cloud cloud platform distribution management system is designed according to the characteristics of the distribution needs of the service industry. The system settings are divided into headquarters management system, agent/office management system and store management system. It is a multi-platform, multi-store, multi-brand enterprise management system that serves the Internet industry. The human resources and salary management functions of the resource management system include: organizational management, human files, recruitment interviews, personnel transfers, training management, examination management, basic settings, salary item settings, salary entry, and new salary tables. The resource management system provides the product structure management function, which can easily input BOM information, and also provides the E-BOM function, which is convenient for the R&D department to record some BOM information under development by itself, and communicate with the standard BOM. Sometimes customers have different parts options for the same model product, for example, a mobile phone can choose different color shells, etc. The optional accessories function provided by the resource management system can assist the manufacturer to enter the actual requirements of the customer when receiving the order, without having to prepare the product number and BOM for each characteristic of the product. In view of the existence of a large number of common component groups or similar design parts, the resource management system also provides the function of dummy parts to realize the function of group classification, which can greatly simplify the design and modification work of the design department. The design is simple and elegant, and the cloud resource management suitable for start-up companies can independently deploy databases according to customers and automatically upgrade new versions. Multi-directional information solutions and products cover brand and retail channel-based enterprise resource management systems, marketing APPs, WMS warehouse management systems, new retail O2O, member malls, human resources, financial systems, etc. The essence of the Industrial Internet lies not in the Internet but in traditional industries. IDC reports that the SaaS collaboration market is growing rapidly. When enterprises go to the cloud, they use a brand-new distributed cloud architecture to create a cloud dynamic domain model, create an epoch-making enterprise-level cloud-native PaaS+SaaS platform, support cloud personalized customization, and help customers easily use the cloud, innovate quickly, and continue to iterate. BOM is the most important basic data in PDM/MRPⅡ/resource management information system. Whether its organization format design is reasonable or not directly affects the processing performance of the system. Therefore, it is important to flexibly design a reasonable and effective BOM according to the actual use environment. Very important.
LongRiverTech rice cultivation data on the cloud cloud platform supports the natural value-added, farming and planting of products. Rice cultivation data on the cloud cloud platform warehouse management functions include: external warehouse single-day claim list, monthly claim plan, summary allocation claim form, pre-shipment note, frozen inventory, approval, and delivery note. Ideally, the settlement and payment of the payment for goods are in one-to-one correspondence and occur at the same time, but ni actual small and medium-sized enterprises, there are a large number of goods before payment, first payment before goods, book-entry down payment and centralized settlement, installment payment and A variety of different goods and payment separation modes such as delivery. There are a large number of many-to-many compound nesting and association relationships in the flow of goods and materials, capital payment and settlement flow, and production and processing workflow, which increases the difficulty and workload of small and medium-sized enterprises in the management and control of business data. Through the implementation of the LongRiverTech rice cultivation data on the cloud cloud platform solution, different payment receipt and payment templates can be adopted according to the characteristics of different businesses, and after entering business documents, it can automatically establish commodity materials in and out of storage, funds receivable and payable, production and processing raw materials and finished products, accounts, All-round relationship among warehouses, employees, machinery and equipment, factories, stores, etc. Through the standardized rice cultivation data on the cloud cloud platform business process, the operational risk of business execution is minimized, and the risk control measures such sa credit limit and risk exposure and other upstream and downstream relationship limits are adopted to minimize the risk of bad debts and capital costs. Based on the statistics and analysis of historical actual inventory, logistics and capital flow data, it can arrange the best inventory allocation, capital account and logistics distribution, and enhance the profitability and competitiveness of enterprises.
Financial management: payment application, expense reimbursement, travel reimbursement, overdraft application, bill management, loan management, repayment management, due contracts, etc. The sales and purchase module is a customs declaration management system for the foreign trade industry, which generates a complete set of customs declaration documents in Excel format. The foreign trade industry resource management system has multiple subdivisions, such as: clothing foreign trade resource management, food foreign trade resource management, and retail foreign trade resource management. The resource management system itself is a planning system, and the BOM is the framework of the planning system. The quality of BOM production directly determines the quality of resource management system operation. Therefore, BOM production is the top priority of the entire data preparation work, and the requirements are almost harsh. There are three specific requirements: (1). Coverage rate: BOM needs to be produced for the products being produced, so the coverage rate must reach 99% above. Because there is no product BOM, it is impossible to calculate the purchase demand plan and manufacturing plan, and it is impossible to carry out nesting control. (2). Timely rate; BOM production changes and engineering changes need to be timely, BOM must be completed before MRP, and engineering changes need to be issued before nesting. This has two meanings: (a). Timely production; (b). Timely update. And the two must be closely linked to prevent "two skins". (3). Accuracy rate: The accuracy rate of the BOM table must reach more than 98%. The evaluation requirements are: randomly disassemble an actual assembly and compare it with the bill of materials, and make statistics based on the single-layer structure. If there is a discrepancy, the accuracy of the layer structure will be 0. The innovative cloud service platform for small and medium-sized and growing enterprises provides an open and personalized resource management cloud platform for enterprises in the digital economy era with three characteristics of "openness, customization, and social interaction", helping enterprises realize the new ecology of digital marketing and continuous evolution of management, etc. Improve the digital capabilities and intelligent decision-making capabilities of enterprises. Rice cultivation data on the cloud cloud platform The cloud platform integrates the business characteristics and process management of various traditional application software, such as: resource management enterprise management system, invoicing management software, project management software, advertising company management software, clothing invoicing software, clothing Cash register software, car beauty management software, auto repair software, crm system, enterprise cloud disk, resource management management system, CRM customer relationship management, HR human resource management, OA office system, production management, invoicing management and financial management, etc. Management consulting generally includes: information planning, human resources consulting, process optimization, group management and control, legal consulting, financial planning, intellectual property planning, etc. The one-stop information solution digital workshop solves the problems of production scheduling, labor reporting, process document issuance, production traceability, quality control, and decision-making analysis for manufacturing enterprises, and realizes the digitization and kanban of the manufacturing process and the coordination of workshop execution. The software related to rice cultivation data on the cloud cloud platform also includes: steel structure engineering system, hydropower engineering management system, road and bridge engineering management system, access control management system, catering OA system, work order management system, hospital management OA system, hotel management OA system, school OA management system, retail management system, service industry OA management system, electronic engineering management system, building foundation engineering system, mechanical and electrical engineering management system.
Rice cultivation data on the cloud cloud platform logistics management functions include: transport order, delivery note, means of transport configuration, delivery date, intermediate node, customs, route tracking, transport plan, multimodal transport. Basic data is the basic function of rice cultivation data on the cloud cloud platform. LongRiverTech software supports the management of all business objects, such as: subjects, employees, commodities, accounts, warehouses, suppliers, customers, groups, companies, departments, warehouses, factories, stores, and more Account, multi-warehouse, multi-currency and foreign exchange support, item support, storage capacity and location support, storage capacity size, volume and load. LongRiverTech rice cultivation data on the cloud cloud platform enables object support. LongRiverTech rice cultivation data on the cloud cloud platform manages the batches of goods in the warehouse by default, and can further track and manage individual objects for scanning code entry, exit, inventory, and transportation. LongRiverTech rice cultivation data on the cloud cloud platform system function provides a common infrastructure. For example: data, message and configuration, data backup and recovery, sending SMS and email, payment integration, file storage, system parameters, holiday maintenance, serial number maintenance and user message notification summary. Small and medium-sized rice cultivation enterprises focus on production and processing to drive upstream procurement and downstream order management. The conventional rice cultivation data on the cloud cloud platform satisfies the large-scale production management of batch products. Mass-produced products with a high degree of standardization can quickly reach saturation through large-scale expansion, leaving a lot of room for growth in non-standard orders that require individual customization. For more innovative non-standard orders, it is increasingly dependent on the auxiliary management of computer systems to cope with the explosive growth of business data.
Product digitization, business digitization, and execution digitization. The SaaS platform digital factory integration solution based on the Internet, the Internet of Things, and cloud computing uses the integrated software and hardware integrated solution to fully open up the manufacturing enterprise collaboration layer, business layer, execution layer, decision-making layer, control layer and hardware layer. The bill of materials is different from the product parts list that we are familiar with, mainly in the following aspects: (1). Each material on the bill of materials has its unique code, that is, the material number, which is very clear about the material it constitutes . There are no such strict regulations for general parts indicating fine watches. Parts schedules attached to individual products do not necessarily take into account the uniqueness of the material coding of the entire enterprise. (2). The hierarchical relationship of parts and departments in the bill of materials must reflect the actual assembly process. Some assemblies on the drawings may not necessarily appear in the actual assembly process, but may also appear on the bill of materials. (3). The bill of materials should include the raw materials, blanks and some consumables required by the product, and the finished product rate should also be considered. The parts schedule does not include materials that do not appear on the drawings, nor does it reflect the consumption quota of materials. The bill of materials is mainly used for planning and control, so all planning objects can be included in the bill of materials in principle. (4). According to the needs of management, several different shapes of a part, such as casting and forging blanks and processed parts, processed parts and repainted parts with different colors, should be given different shapes in the bill of materials. Coded for differentiation and management. Parts schedules are generally not handled this way. (5). What materials should be listed on the material list is very flexible and can be completely defined by the user. For example, in addition to the raw material steel plate, a special mold is required to process a certain stamping part. When establishing the bill of materials, you can hang the mold as an outsourced part on the lower layer of the stamping part, and its quantitative relationship with the stamping part is the mold consumption quota. (6). The order of a master sub-component in the bill of materials should reflect the order of assembly of each component, while the order of the part numbers on the parts schedule is mainly for the convenience of viewing the diagram. Customize the document and file interface According to the needs of the company, all files support customization, and the report is modified accordingly, and the document interface also supports customization. In the usual MRPII and resource management systems, BOM refers to the relationship tree composed of parents and components. The BOM can be decomposed from the top down or provide information in the form fo bottom-up tracking. Rice cultivation data on the cloud cloud platform can help enterprise managers to grasp every trend of enterprise operation at any time, and manage sales, procurement, production, and warehouse delivery orders more in place. Through the software, the coding of components/parts/materials, inventory and BOM of products can be effectively managed, the business process of the enterprise can be improved, and an information sharing platform can be built for each department of the enterprise, so that the procurement, production and other businesses can be carried out in a standardized manner. , Strengthen the management of the supply chain, shorten the production cycle and improve the capital turnover rate of the enterprise.
In other words, let rice cultivation data on the cloud cloud platform replace manual work to complete a large number of tedious tasks in traditional work, reduce the workload and tediousness of employees, and thus greatly reduce the labor cost of enterprise operations.