KR20000063201A - Oil ordering system by cyber gauge - Google Patents

Abstract

PURPOSE: A fuel ordering system is provided to enable effective supply and low cost inventory management by sharing next ordering point and ordering amount in measured information in internet. CONSTITUTION: In the system of the invention, a cyber-gauge controls the whole demand so that the amount of inventory in each step of an oil refiner(500), agent(501), service station(502) and consumer(503) can be minimized and inventories such as crude oil inventory(508), refiner's inventory(507), agent inventor(506) can be reduced also. Fuel information of houses(510), companies(511) and vehicles(512) are collected and stored in an operator system, and the collected information is managed by each service station(502). The measured information is reflected to the supply/product plan of an oil refiner(517). This information is shared by an internet web browser(514) or a radio internet(513).

Description

Oil ordering system using cyber gauges {OIL ORDERING SYSTEM BY CYBER GAUGE}

According to the present invention, the data on the timing and consumption of the end consumer's oil consumption calculated using the cyber oil gauge are sequentially and integratedly shared between the intermediate supplier and the first supplier, so that the maximum convenience for the consumer and the accurate data on supply and demand for the supplier are provided. To maximize management efficiency.

It is difficult to expect accurate data and secure distribution transparency in a way that depends only on the current salesperson's experience.

Suppliers are also forecasting demand only by seasonal factors, which makes it difficult for efficient supply and inventory management. This acts as a chronic oversupply, causing unstable market order, unpredictable prices, and over-market demand resulting in huge logistics, inventory, and sales promotion costs.

There is no quantitative method for forecasting oil supply and demand using the Internet, and such efforts are hard to find even off-line.

The present invention solves the above-mentioned problems by inputting the end consumer's oil consumption time point according to the supply amount, boiler, burner capacity per hour (including the device directly affecting fuel consumption), the use time, the temperature by section into the system ( By quantifying information), the next order and volume of orders are shared on the Internet as quantified information to enable efficient supply of oil and low-cost inventory management.

As the number of orders increases, the data in the database can accurately calculate the usage time according to the seasonal temperature, making the forecast at the time of order more reliable, which can be an important factor in determining oil supply and timing.

1 is a cyber gauge operation configuration according to the present invention

2 is an oil ordering system according to the present invention.

3 is a detailed flowchart of the present invention.

4 is a flow chart of oil distribution

5 is a detailed input process of the oil clock (OIL CLOCK)

6 is a buyer input process of the present invention process

7 is a detailed input process of the oil gauge (OIL GAUGE)

The present invention minimizes the inventory of oil refinery 500, distributor 501, gas station 502, consumer 503 and the like by controlling the total demand of the existing oil distribution cyber gauge as shown in FIG. Inventory (508), refinery inventory (507), agency inventory (506), gas station inventory (505), consumer inventory (504) and the like to minimize. The oil information of the home 510, the company 511, and the vehicle 512 is stored in the operator system and the collected information is managed by the gas station 515 or the subsidiary store 516, and the metered information is refined by the oil refinery 517. Should be reflected in the supply production plan. This information is exchanged by the Internet web browser 514 or via the wireless Internet 513.

Referring to FIG. 1, the oil supplier 100 and the operator 300 input information that may affect oil consumption through a web browser and input an amount of newly supplied oil. This information consists of a computer central processing unit and interface (305) and a database management system (306), a purchasing information database (306-1), an oil supply database (306-2), an automatic consumption database (306-3), It is made up of a progress database 306-4.

The present invention looks at the whole process based on FIG. 2.

The purchaser 200 logs on to the Internet. 201 Inputs basic information necessary to make a purchase (202). This information is input to a purchase information database (203). The operator enters the automatic consumption information (205) (204). This information is entered at 203 to activate the cyber gauge (206). The inventory is calculated from the cyber gauge to output less than 15% of stock consumers (209). The purchase intention is entered (210). When a new oil is supplied, the progress 212 and post-supply information are input (211).

The arrival time and arrival information of the oil may be inquired through the progress database 212.

The present invention looks at the cyber gauge detailed process based on FIG. 3.

An oil buyer connects and logs in via the Internet (216) to find purchase information (2) 7) and retrieves the appropriate information therefrom (218). Choose the information that suits you and place your order (219). The first orderer (220) enters the type and tank capacity of the boiler (221). The buyer's supply information, which has already been ordered, goes to the inventory database by consumer (239).

Send data to the OIL CLOCK (240) from the consumer-specific inventory database.

In OIL CLOCK (241), the current inventory is calculated and a list of prospective buyers with less than 15% inventory is generated (242). If the inventory in the OIL CLOCK is more than 15%, consumer information goes to OIL GAUGE (243). If inventory is less than 15% on OIL GAUGE (244), the list of expected buyers is output (245).

The prospective purchase list is notified to confirm the order intention (246). Consumers who do not decide to buy are sent back to the inventory database. The customer who made a purchase intention is notified of the supply quantity and the date (247). After the consumer notices, the information is shared by petrol stations so that the best petrol station supplies oil (248) and delivers the results after delivery (235) first to see if the boiler has changed (236) or if the order is the same month (237). For month order, enter the oil supply into the data.

If the boiler capacity has changed, enter the data in OIL GAUGE (232). If the order is based on OIL GAUGE, the daily average uptime is corrected (233). The information in 233 is entered into OIL GAUGE by modifying the consumption per hour (234).

At 232, if the order is by OIL CLOCK and not by OIL GAUGE operation, the consumption is corrected (228).

The first consumer enters the remaining amount in the current tank (222). This information is entered as the basis for operating the cyber oil gauge (224).

The weather office receives temperature data (230) and inputs the weather data. If the weather data is different from the previous year, the oil consumption calculation information based on the temperature difference is corrected and input (228). If the consumption information is changed to enter the basic information correction (227) to correct the estimated seasonal consumption (226). Enter the modified daily average consumption in OIL CLOCK.

The input process of OIL CLOCK will be described based on this invention.

The consumer grasps the current inventory and inputs it (701). The oil supply amount is input (702). The consumer enters monthly average usage (703). Calculate average daily usage by dividing average monthly usage by number of days. Enter the information from 704 into the OIL CLOCK. Get weather office temperature data (708). If this year's temperature fluctuates more than 10% from the previous year's temperature (706), the daily average usage is corrected.

By operating the OIL CLOCK to calculate the average daily usage by household (709). At this time, the remaining inventory for each household is calculated (710). The stock balance outputs customers with less than 15% (712). If the remaining amount is more than 15%, it ends.

Looking at the detailed input process of the buyer according to Figure 6 the present invention.

The buyer connects to the Internet (400). Connect to the cyber gauge web host (401). The user logs in (402). Check the membership (403), if there is a member number, enter the order quantity and type (410). If the boiler fluctuates, the change is entered into the boiler information 405 or the same month order is checked (412). In the same month, the supply amount is input (413). Supply information is stored 414 in the oil supply data. If the order is not the same month, the daily average uptime is corrected (415). If the daily average uptime is modified, the automatic consumption information is modified (416) and sent to the cyber gauge.

If not, the registration process (404). Input the boiler information (405). Enter the tank capacity (406). Activate the cyber gauge (407). When the cyber gauge is activated, the remaining amount is checked (408). The buyer list is output based on the remaining amount (409). If not registered as a member, the user is authenticated (417). When the permission and the membership number are issued, the login process is performed again (418). If the permission is not issued, it terminates (419).

According to the present invention, the OIL GAUGE detailed input process will be described.

The operator enters the boiler company name in the boiler information database (609) (603).

Enter the model of the boiler (604). The fuel consumption per hour is entered (605). The type of fuel is entered (606). Enter the thermal efficiency per hour 607. The boiler is given a sign (608). Once the boiler information database is established, the buyer enters a one-time oil supply (600). Enter the tank capacity held by the buyer (601). The oil remaining amount at the time of ordering is input (602).

Next, the first order date of a particular consumer is automatically entered in the system (613), and the next order date is automatically entered at the time of order (612). The days used at 613 and 612 are automatically calculated (610). Substituting the information calculated at 610 into the amount of usage (the number of days used) yields the average daily consumption for each consumer. Dividing the daily consumption by the hourly consumption calculates the daily average boiler uptime (614). Knowing the daily average boiler uptime, it is possible to calculate the remaining amount per day (615). Run OIL GAUGE to calculate the stockholders below 15% at this time (616). Make a list of prospective buyers (617).

According to the present invention, not only can dramatically reduce the logistics and management costs that may occur due to the uncertainty of supply and demand due to existing inaccurate empirical data, but also enables rational BEFORE SERVICE in customer management.

By predicting customer needs, gas stations and retail outlets can improve their competitiveness, and even first-time suppliers, such as refiners, distributors and importers, can control oil supply and demand based on scientific data.

Claims (2)

Oil demand by calculating flow rate, weather data, hourly consumption (including devices directly affecting oil consumption), and usage time on the web. Quantifying Supply Information Measure and compare oil consumption with two cyber gauges, and when the inventory falls below a certain level, one gauge detects and outputs the expected purchase customer