CN112633748A - CVC (composite video control) based method and system for controlling supply chain in whole field - Google Patents
CVC (composite video control) based method and system for controlling supply chain in whole field Download PDFInfo
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Abstract
The invention provides a CVC (composite video control) whole-field-based supply chain control method and system.A distribution channel module respectively collects goods demand information in different areas, distributes sales products according to the goods demand information in the different areas, respectively generates goods production configuration demand data information, and sends the production configuration demand data information to a production manufacturing module and a purchasing module; the production manufacturing module receives the production configuration demand data information, constructs goods production operation plan data information according to the production configuration demand data information, and sends the production operation plan data information to the purchasing module; and the purchasing module receives the production configuration demand data information and the production operation plan data information and cooperatively purchases goods in different areas according to the production configuration demand data information and the production operation plan data information. A predictable and agile system is proposed to meet the needs of established business and market goals.
Description
Technical Field
The invention belongs to the field of cross-supply-chain whole-field management and control, and particularly relates to a CVC (composite video control) whole-field-based supply chain management and control method and system.
Background
There is a sentence said as: "whenever you are unwilling, the dispute is there. We are in the VUCA era. "wherein, VUCA era is also called wuka era, specifically: abbreviations for volatility, uncertainties, complexity, ambiguities. We are in the flood of this VUCA era now, and apply a sentence: we did't do any trong, but somehow, We lost (We did nothing, but We were eliminated) our present environment-very high uncertainty. The biggest thing is that it is unpredictable and cannot be trusted. Given the increasing diversity and volatility of the world today, the traditional planning logic now requires fundamental innovation. There is a need to establish efficient, simplified rules and corresponding tools to enable each company's resources to more closely fit the market, enabling a demand-driven world.
In the existing market, the traditional planning method for allocating and distributing the company resources is easy to generate huge bullwhip effect in the processes of sale to production and purchase and inherent distortion of related information and material flow. Forecast, an indispensable factor for the production environment of the stock. Since it is not possible to predict but not exactly, how can you do not predict but let the actual performance speak? According to an effective theory, the product can truly reflect to the channel, to the production and to the raw material purchase from the customer demand. The problem that customers are lost due to shortage of goods and capacity is not enlarged is urgently needed to be solved.
Disclosure of Invention
Aiming at the problems, the invention provides a CVC (composite virtual control) whole-field-based supply chain control method and system, which aim to solve the problem that a company cannot accurately match the company capacity with the market demand in the existing market environment.
Cvc (cycle Value chain) domain wide management refers to the entire management process ranging from vendor, production to sales.
CVC full-field control is based on manufacturing/logistics supply bill of materials, applies a demand-driven operational model, combines the utilization of actual demand with strategic decoupling and control points and inventory, time and capacity buffering, and provides a predictable and agile system. To meet established business and market goals while minimizing turnover capital and urgency-related costs. The production planning operation is rapidly improved, the production delivery period is greatly shortened, and the inventory turnover rate is increased.
The invention provides a CVC (composite video control) based method for managing and controlling a supply chain in the whole field, which comprises the following steps:
the distribution channel module is used for respectively acquiring the goods demand information in different areas, distributing the sales products according to the goods demand information in different areas, respectively generating the goods production configuration demand data information, and sending the production configuration demand data information to the production manufacturing module and the purchasing module;
the production manufacturing module receives the production configuration demand data information, constructs goods production operation plan data information according to the production configuration demand data information, and sends the production operation plan data information to the purchasing module;
and the purchasing module receives the production configuration demand data information and the production operation plan data information and cooperatively purchases goods in different areas according to the production configuration demand data information and the production operation plan data information.
Further, the step of respectively acquiring the goods demand information in different areas by the distribution channel module comprises the following steps:
dividing a sales area, and formulating an information acquisition route by combining road information in the area;
and collecting the goods demand information of the shops related to the route in real time according to the formulated information collection route.
Further, the building of the data information of the goods production operation plan comprises:
driving type production command signal models based on actual demands;
constructing a strategic buffer system for eliminating the bullwhip effect;
the focus on the production operation of goods improves production/supply reaction times.
Further, the strategic buffer system for eliminating the bullwhip effect comprises:
selecting a buffering object material, determining a strategic buffering point, and determining a goods ordering plan;
determining a target library, and storing and establishing a buffer water level;
dynamically adjusting the production configuration demand data information based on the target inventory.
Further, the selecting the buffering object material and determining the strategic buffering point, and the determining the goods ordering plan includes:
carrying out ABC classification calculation according to the commodity value and the sales achievement to classify the commodities;
and analyzing the fluctuation of the demand, combining the ABC classification method, determining a goods ordering plan, demand-driven/balanced replenishment and event management by using a DDOM demand-driven operation model.
Further, the determining a target inventory, establishing a buffer level, includes:
setting buffer types for commodities according to industrial characteristics, and setting safety factors for commodities of different buffer types.
Further, the operationally focusing improves production/supply reaction time comprising:
a produced replenishment bill; buffering according to time; inputting according to the inventory consumption of a replenishment list for replenishing according to the inventory;
the priority of the replenishment list is arranged according to the type of the replenishment list and the buffer type
The buffer retrieval mechanism is in place and monitored.
Further, the dynamically adjusting the production configuration demand data information based on the target inventory includes:
and carrying out inventory buffer calculation according to the current store inventory data, unfinished orders, the ex-warehouse quantity and preset parameter objects, determining a goods replenishment list, and generating production configuration demand data information in real time.
Still further, the preset parameter object includes: the daily average dosage ADU, the adjustment coefficient DAF, the fluctuation coefficient VF, one or more of the water levels of the red area, the yellow area and the green area of each SKU.
The invention also provides a system for controlling the supply chain based on the CVC whole field, which comprises:
the distribution channel unit is used for respectively acquiring the goods demand information in different areas, distributing the sales products according to the goods demand information in different areas, respectively generating goods production configuration demand data information, and sending the production configuration demand data information to the production manufacturing unit and the purchasing unit;
the production manufacturing unit is used for receiving the production configuration demand data information, constructing goods production operation plan data information according to the production configuration demand data information, and sending the production operation plan data information to the purchasing unit;
and the purchasing unit is used for receiving the production configuration demand data information and the production operation plan data information and cooperatively purchasing goods in different areas according to the production configuration demand data information and the production operation plan data information.
The invention discloses a CVC (composite video control) whole-field-based supply chain control method and system, which are based on a manufacturing/logistics supply bill of materials, apply a demand-driven operation model, and combine the utilization of actual demands with strategic decoupling and control points, inventory, time and capacity buffering to create a predictable and agile system. The method has the advantages of meeting established business and market targets, simultaneously reducing turnover capital and emergency bill related cost as much as possible, quickly improving production plan operation, greatly shortening production delivery period and improving inventory turnover rate. Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 illustrates a schematic diagram of a conventional supply chain central inventory/factory warehouse architecture;
FIG. 2 is a schematic diagram of a star inventory warehouse configuration in a new retail model;
fig. 3 is a flowchart illustrating a CVC-based method for controlling a supply chain in a global domain according to an embodiment of the present invention;
fig. 4 shows a schematic structural diagram of a system for controlling a supply chain based on the CVC domain.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the traditional supply chain, on the material demand calculation of the core, two modes of MRP (material demand planning) at the production manufacturing end and DRP (distribution demand planning) at the distribution end are adopted, the MRP is calculated based on the tree-shaped decomposition structure/hierarchical subordinate demand of the bill of materials from top to bottom of the finished product, the distribution end is a tree-shaped decomposition structure from layer to layer from the beginning of a factory/total warehouse to the downstream to a plurality of clients/distributors/stores from bottom to top, and the demand comes from the tail end.
Referring to fig. 1, fig. 1 is a schematic diagram illustrating a conventional supply chain central inventory/factory warehouse structure.
ITEM：Itemkey_M0.1_M1.1；ItemKey_M0.1_M1.1；ItemKey_M0.1_M1.3；ItemKey_M1.1_M2.1……
Parent-child pair: itemkey _ M0.1_ M1.1; ItemKey _ M0.1_ M1.1; LT; QTY; … …
The DRP distribution end is a bottom-up tree-like decomposition structure from layer to layer downstream starting from the factory/headquarters up to numerous customers/dealers/stores.
ITEM：ItemKey_D0.1_D1.1；ItemKey_D0.1_D1.2；ItemKey_D1.1_D2.1；ItemKey_D1.1_D2.2……
Parent-child pair: ItemKey _ D0.1_ D1.1; ItemKey _ D0.1_ D1.2; LT; QTY; … …
And with the preposed bins and the multi-section bins and the multi-main bin, the complexity of pulling the equal distribution chain by the nearby main bin and the nearby main bin increases, so that the production and marketing coordination is more and more important and complex, and the bullwhip effect caused by prediction is wantonly transverse at a distribution end, a manufacturing end and a sublevel supplier.
The DRP for distribution field is the purchase, sale and stock in the aspects of demand forecasting, stock forecasting and optimizing, multi-service unit processing and the like. The MRP is a system for manufacturing page inventory management information processing. ERP is called to contain DRP and MRP, and the actual operation is still processed separately. In the specific use process, the prediction is not accurate, and the adaptation of each link in the supply chain cannot be adjusted in time according to the change of the demand.
In the new retail model, warehouses and stores are distributed throughout the country and even globally. Warehouse classification from "central inventory/factory warehouse" as shown in fig. 1, to now multiple general warehouses: "star inventory" referring to fig. 2, fig. 2 shows a schematic structural diagram of a star inventory warehouse in a new retail mode.
The invention is based on the CVC information Value Chain (Cyper Value Chain) full supply Chain demand calculation system, and by analyzing the distribution supply Chain model, using the theory of graph theory and graph database, generalizing the master-slave bin modes of various distribution supply chains, such as the front-end bin, the multi-zone bin multi-master bin, the nearby master-slave bin and the multilayer supply Chain, into the material demand list which can be the same as the production and manufacturing, thereby using the same MRP algorithm to perform complete calculation and analysis from the distribution end to the production and manufacturing end and even from the later multistage supply end. Evolution continues with the development of innovative theories such as DDMRP, DDS & OP, TLSS (TOC + Lean + SixSigma), etc. A predictable and agile system is provided. The method has the advantages of meeting established business and market targets, quickly improving production plan operation, greatly shortening production delivery period, improving inventory turnover rate and avoiding the occurrence of bullwhip effect.
The invention provides a method for controlling a supply chain based on the CVC whole field, and referring to FIG. 3, FIG. 3 shows a flow diagram of the method for controlling the supply chain based on the CVC whole field, which specifically includes the following steps:
step S101: the distribution channel module is used for respectively acquiring the goods demand information in different areas, distributing the sales products according to the goods demand information in different areas, respectively generating the goods production configuration demand data information, and sending the production configuration demand data information to the production manufacturing module and the purchasing module;
further, the step of respectively acquiring the goods demand information in different areas by the distribution channel module comprises the following steps:
dividing a sales area, and formulating an information acquisition route by combining road information in the area;
and collecting the goods demand information of the shops related to the route in real time according to the formulated information collection route.
Step S102: the production manufacturing module receives the production configuration demand data information, constructs goods production operation plan data information according to the production configuration demand data information, and sends the production operation plan data information to the purchasing module;
wherein the constructing of the data information of the goods production operation plan comprises:
driving type production command signal models based on actual demands;
constructing a strategic buffer system for eliminating the bullwhip effect;
focusing on the production operation of goods to improve production/supply reaction time;
further, the strategic buffer system for eliminating the bullwhip effect comprises:
selecting a buffering object material, determining a strategic buffering point, and determining a goods ordering plan;
determining a target library, and storing and establishing a buffer water level;
dynamically adjusting the production configuration demand data information based on the target inventory;
wherein, the selecting the buffering object material, determining the strategic buffering point, and determining the goods ordering plan comprise:
carrying out ABC classification calculation according to the commodity value and the sales achievement to classify the commodities;
analyzing the fluctuation of the demand, combining the ABC classification method, determining a goods ordering plan, demand-driven/balanced replenishment and event management by utilizing a DDOM demand-driven operation model;
wherein the determining a target inventory and establishing a buffer level comprises:
setting buffer types for commodities according to industrial characteristics, and setting safety factors for commodities of different buffer types.
Wherein the operationally focusing improves production/supply reaction time comprising:
a produced replenishment bill; buffering according to time; inputting according to the inventory consumption of a replenishment list for replenishing according to the inventory;
the priority of the replenishment list is arranged according to the type of the replenishment list and the buffer type
The buffer retrieval mechanism is in place and monitored.
Wherein the dynamically adjusting the production configuration demand data information based on the target inventory comprises:
and carrying out inventory buffer calculation according to the current store inventory data, unfinished orders, the ex-warehouse quantity and preset parameter objects, determining a goods replenishment list, and generating production configuration demand data information in real time.
The preset parameter objects include, but are not limited to, daily average usage ADU, an adjustment coefficient DAF, a fluctuation coefficient VF, each SKU red zone, a yellow zone and a green zone water level.
Step S103: and the purchasing module receives the production configuration demand data information and the production operation plan data information and cooperatively purchases goods in different areas according to the production configuration demand data information and the production operation plan data information.
In order to adapt to the above method for controlling a supply chain based on the CVC global domain, the present invention further provides a system for controlling a supply chain based on the CVC global domain, please refer to fig. 4, where fig. 4 shows a schematic structural diagram of the system for controlling a supply chain based on the CVC global domain according to an embodiment of the present invention, the system includes:
the distribution channel unit is used for respectively acquiring the goods demand information in different areas, distributing the sales products according to the goods demand information in different areas, respectively generating goods production configuration demand data information, and sending the production configuration demand data information to the production manufacturing unit and the purchasing unit;
the production manufacturing unit is used for receiving the production configuration demand data information, constructing goods production operation plan data information according to the production configuration demand data information, and sending the production operation plan data information to the purchasing unit;
and the purchasing unit is used for receiving the production configuration demand data information and the production operation plan data information and cooperatively purchasing goods in different areas according to the production configuration demand data information and the production operation plan data information.
Illustratively, viewed in data flow, it can be divided into sales channels, factory production and raw material procurement.
The management system mainly comprises three parts: distribution channel unit, factory production unit and purchase unit
Firstly, setting in a distribution channel unit: a salesman shop patrol module; a distribution management module; order & storage & transportation management module;
the salesman shop patrol module is used for establishing shop patrol routes according to regional customer information, wherein the regional customer information comprises but is not limited to sales volume, respective sales regions, number and distribution of shops, distance among cities and traffic information. In order to improve the efficiency of supervision and to maximize the number of daily visiting customers, i.e. stores, standardized by the staff. Thereby reducing the cost. The system has unified tour standards, supervisors set tasks, can place a goods demand list when arriving at a store, count goods in the store, adjust target inventory and the like, and obtain the latest order information and inventory information of the store in real time.
Through the classification planning guidance in the distribution management module, in the exemplary embodiment, the classification planning guidance adopts an ABC classification method to classify goods, and helps a sales department to accurately position the selling of suitable single goods every other shop. For example, about 2000 products, after the ABC classification, the A class and the B class generally do not exceed 50 products, and a buyer of a purchasing department can focus on key products for sale, so that the availability of the products is ensured.
Meanwhile, data analysis such as ADU alarm, SKU inventory monitoring, purchase replenishment suggestion, TDD analysis, inventory availability, inventory turnover times, product movement and marketing analysis and effective output analysis are matched.
And a pull type replenishment mode is used, so that new products are paved on the market, the market is moved, the analysis is carried out, and the effective output is realized.
Secondly, producing the unit in a factory:
constructing a new production operation model with the purpose of ensuring reliability and reaction capability to realize an elastic manufacturing system
And introducing an actual driving type production command signal model.
1, constructing a strategic buffer system for eliminating the bullwhip effect;
specifically, selecting a buffering object material, determining a strategic buffering point, and planning an optimal ordering strategy based on product characteristics on the basis of a statistical method;
specifically, the ABC classification calculation (rule two eight) is performed according to commodity value and sales achievement, which is as follows: the inverted rows are sold and scored with percentages. 60% of the products belong to A class, 60% -90% of the products belong to B class, and the others belong to C class, the A class of hot-sell products have large demand and small time interval difference and belong to smooth demands, and conversely, the C class of products have irregular or occasional demand due to demand fluctuation;
analysis of demand volatility: time series data analysis, covariance (CoV) time interval x number difference;
high value goods are assembled in production/order and a simple spot order or double box method is used to determine low value goods for batch production.
If daily demand volatility (Cov) is considered from the demand volatility, and the sales volume ABC classification method is added, demand driving can be realized. According to a DDOM (demand drive Operation model) demand-Driven Operation model, performing on-demand replenishment, demand-Driven/balanced replenishment and event management;
increasing the service level over a time tolerated by the customer;
the requirement visualization interval is as follows: the demand time from order placement to delivery can be achieved without prediction if the interaction period can be shorter than this period.
The combination of the stock leverage effect and the flexibility effectively adjusts the amount of the universal materials and the universal components.
Internal and external volatility: mainly considering the bullwhip effect in the supply chain, etc. Exemplary division into a demand side and a supply side.
And preparing the materials according to the sleeve aligning points set according to the sleeve aligning requirement.
Specifically, a target inventory is constructed to establish a buffer water level;
setting 9-27 buffer type classifications according to industrial characteristics, setting safety factors of the buffer type classifications, dynamically adjusting production configuration demand data information according to target inventory demands, and exemplarily generating a replenishment suggestion list based on target inventory consumption; according to the inventory data of the current day, unfinished orders, delivery quantity and various preset parameter objects (daily average consumption ADU, adjustment coefficient DAF, fluctuation coefficient VF and water levels of red zone, yellow zone and green zone of each SKU), inventory buffer calculation is carried out, and a suggested replenishment list, inventory buffer condition and unfinished order color can be given
2, operational focusing improves production/supply reaction time;
specifically, a replenishment bill produced on a bill; buffering according to time; inputting according to the inventory consumption of a replenishment list for replenishing according to the inventory; the priority of the seed replenishment list is arranged according to the type of the replenishment list and the buffer type; the buffer retrieval mechanism is in place and monitored.
And 3, continuously improving system execution.
Specifically, the sustained improvement comprises: the reason for buffer consumption is evaluated periodically, an exemplary period can be selected to be a certain period such as a week, a half-month, a month and the like, and the periodic evaluation is carried out according to actual requirements in the specific implementation process; monitoring and managing the capacity restriction resources; monitoring reasonable distribution of the structure of the inventory and the quasi-intersection rate generated according to the order; selecting dangerous materials and parts, and continuously monitoring and managing the availability of the dangerous materials and parts; determining and adjusting transfer batch/minimum order to ensure and improve flowability
The procurement unit does the following:
1, utilizing Saas type cloud service to cooperatively work across areas, and simultaneously supporting a centralized purchasing system with multiple factories and across areas to adopt Saas type cloud service.
2, purchasing execution is public and fair, management such as contracts, electronic documents, settlement and the like is orderly, and sunlight purchasing is achieved;
3, controlling the quality of the whole process: firstly, purchasing and warehousing for inspection; secondly, the production process: registering and tracking defective parts; thirdly, finished product detection: registering and tracking defective products; fourthly, after sale/sale: and the customer feeds back defective registration tracking.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for controlling a supply chain based on the CVC whole field is characterized in that: the method comprises the following steps:
the distribution channel module is used for respectively acquiring the goods demand information in different areas, distributing the sales products according to the goods demand information in different areas, respectively generating the goods production configuration demand data information, and sending the production configuration demand data information to the production manufacturing module and the purchasing module;
the production manufacturing module receives the production configuration demand data information, constructs goods production operation plan data information according to the production configuration demand data information, and sends the production operation plan data information to the purchasing module;
and the purchasing module receives the production configuration demand data information and the production operation plan data information and cooperatively purchases goods in different areas according to the production configuration demand data information and the production operation plan data information.
2. The CVC-based domain wide management supply chain method of claim 1, wherein: the distribution channel module collects goods demand information in different areas respectively and comprises:
dividing a sales area, and formulating an information acquisition route by combining road information in the area;
and collecting the goods demand information of the shops related to the route in real time according to the formulated information collection route.
3. The CVC-based domain wide management supply chain method of claim 1, wherein: the building of the data information of the goods production operation plan comprises the following steps:
driving type production command signal models based on actual demands;
constructing a strategic buffer system for eliminating the bullwhip effect;
the focus on the production operation of goods improves production/supply reaction times.
4. The CVC-based domain wide management supply chain method of claim 3, wherein: the strategy buffer system for eliminating the bullwhip effect is constructed by the following steps:
selecting a buffering object material, determining a strategic buffering point, and determining a goods ordering plan;
determining a target library, and storing and establishing a buffer water level;
dynamically adjusting the production configuration demand data information based on the target inventory.
5. The CVC-based domain wide management supply chain method of claim 4, wherein: selecting the buffering object material, determining a strategic buffering point, and determining a goods ordering plan comprise:
carrying out ABC classification calculation according to the commodity value and the sales achievement to classify the commodities;
and analyzing the fluctuation of the demand, combining the ABC classification method, determining a goods ordering plan, demand-driven/balanced replenishment and event management by using a DDOM demand-driven operation model.
6. The CVC-based domain wide management supply chain method of claim 4, wherein: the determining the target inventory and establishing the buffer level comprises:
setting buffer types for commodities according to industrial characteristics, and setting safety factors for commodities of different buffer types.
7. The CVC-based domain wide management supply chain method of claim 4, wherein: the operationally focused improved production/supply reaction time includes:
a produced replenishment bill; buffering according to time; inputting according to the inventory consumption of a replenishment list for replenishing according to the inventory;
the priority of the replenishment list is arranged according to the type of the replenishment list and the buffer type
The buffer retrieval mechanism is in place and monitored.
8. The CVC-based domain wide management supply chain method of claim 4, wherein: the dynamically adjusting the production configuration demand data information based on the target inventory includes:
and carrying out inventory buffer calculation according to the current store inventory data, unfinished orders, the ex-warehouse quantity and preset parameter objects, determining a goods replenishment list, and generating production configuration demand data information in real time.
9. The CVC-based domain wide management supply chain method of claim 8, wherein: the preset parameter object comprises: the daily average dosage ADU, the adjustment coefficient DAF, the fluctuation coefficient VF, one or more of the water levels of the red area, the yellow area and the green area of each SKU.
10. The utility model provides a system based on CVC is whole field management and control supply chain which characterized in that: the system comprises:
the distribution channel unit is used for respectively acquiring the goods demand information in different areas, distributing the sales products according to the goods demand information in different areas, respectively generating goods production configuration demand data information, and sending the production configuration demand data information to the production manufacturing unit and the purchasing unit;
the production manufacturing unit is used for receiving the production configuration demand data information, constructing goods production operation plan data information according to the production configuration demand data information, and sending the production operation plan data information to the purchasing unit;
and the purchasing unit is used for receiving the production configuration demand data information and the production operation plan data information and cooperatively purchasing goods in different areas according to the production configuration demand data information and the production operation plan data information.
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