CN103400252A - Goods inventory management method and device - Google Patents

Abstract

The embodiment of the invention provides a goods inventory management method and device. The method mainly comprises the following steps: establishing an economical goods ordering batch model according to ordering cost, inventory cost and consumption rate; establishing a goods reordering point model according to a goods demand rate, an ordering extraction period and a preset deviation value. The method comprises the following specific steps: during delivery of goods, subtracting the delivery quantity of goods from an inventory quantity before the delivery of the goods to obtain the practical inventory of goods; when the practical inventory amount is not more than a reordering inventory amount calculated by using the reordering point model, calculating the economical ordering quantity of goods according to the economical goods ordering batch model, and ordering the economical ordering batch of goods. According to the embodiment of the invention, automation, economization and safety of inventory management of goods are realized, and the inventory management efficiency of goods such as scientific research equipment is increased effectively.

Description

Goods stock's management method and device

Technical field

The present invention relates to the freight supply technical field, relate in particular to a kind of goods stock's management method and device.

Background technology

Along with development and the deep application of infotech, changed people's production, life style.How to effectively utilize information technology service in the development of Scientific research equipment, the supply chain management of volume production process, become the emphasis that each military enterprise pays close attention to.

Scientific research equipment is different from the civilian industry product, the monopoly assets investment that its need of production is a large amount of, and its quality and performance are directly connected to nation's security, and its demand has greatly changed along with the conversion of flat war.If the mode of perfect market is adopted in the production of Scientific research equipment, so not exclusively contract, opportunistic behavior and high transaction cost, will inevitably directly have influence on the development of Scientific research equipment, and then have influence on nation's security; If adopt the mode of vertically integrated, the production cost of enterprise also can increase along with the control to raw material supply, product manufacture, distribution and sale overall process.

The development of Scientific research equipment, production, operation are a kind of special relations of the supply, it is a kind of industrial organization structure between the marketization and vertically integrated, by the supply and demand network that the entities such as supplier, manufacturer and system integrator form, it is the set of crossing over a plurality of Determinadons in enterprise.Therefore, in the operation process of Scientific research equipment, not only need to reduce the transaction cost between enterprise, also will reduce the handling cost of enterprises simultaneously.

From the operation cost of enterprises aspect, the supply chain management of Scientific research equipment need to be optimized supply chain by paying attention to the product final cost.The total cost when final cost of mentioning here refers to the arrival client of actual generation, the price while comprising buying and deliver goods cost, cost of inventory etc.Simultaneously risk is also jointly to share, jointly link up and realize by supply chain members with plan, and in supply chain management, each member is based on the control of final cost is reached to cooperation.

Traditional Scientific research equipment stock control is that equipment inventory is pushed away forward or prolongs backward, and concrete condition is that who has initiative to determine most according to supply chain members, and this take power as the basis relation between supply and demand certainly will bring the bad impact of enterprise.Therefore, a kind of high efficiency equipment information inventory analysis method of exploitation is very important.

Summary of the invention

Embodiments of the invention provide a kind of goods stock's management method and device, with realization, Scientific research equipment and other items stock are effectively managed.

A kind of goods stock's management method, according to ordering cost, cost of inventory, wear rate, set up the EOQ Lot-Size Model of goods, according to demand rate, order extraction phase and the predefined deviate of goods, set up the reorder point model of goods, described method specifically comprises:

When the goods shipment was arranged, the shipping Qty. that stockpile number before the shipment of described goods is deducted to described goods obtained the actual inventory of described goods;

When ordering goods again during tank farm stock that described actual inventory is not more than that described reorder point model calculates, according to described EOQ Lot-Size Model, calculate the economic purchasing quantity of described goods, order the described goods of described economic purchasing quantity.

The described EOQ Lot-Size Model of setting up goods according to ordering cost, cost of inventory, wear rate comprises:

The computing formula of described EOQ Lot-Size Model is as follows:

$Q*=\sqrt{\frac{2\mathrm{K\λ}}{h}}$

Wherein, Q ^*For economic order quantity, K is the fixedly ordering cost of every shipments, and λ is the wear rate of described goods in the unit interval, and h is the carrying cost of the unit tank farm stock of described goods in the unit interval.

Described demand rate according to goods, order extraction phase and predefined deviate are set up the reorder point model of goods, comprising:

According to the safety inventory model that order extraction phase and predefined normal deviate value, the preposition phase standard deviation of goods are set up goods, the computing formula of described safety inventory model is as follows:

$\mathrm{SS}=z\·s_d\·\sqrt{\mathrm{LT}}$

Wherein, SS is safety stock, and z is the normal deviate value, s _dFor the preposition phase standard deviation under certain service level, the time in advance that LT being order;

According to the demand rate of described goods with order goods the time in advance, and described safety inventory sets up the reorder point model of described goods, and the computing formula of described reorder point model is as follows:

ROP＝d·LT+SS

Wherein, described ROP is the tank farm stock of ordering goods again, and d is the demand rate of described goods in the unit interval.

The described economic purchasing quantity that calculates described goods according to described EOQ Lot-Size Model comprises:

According to the shipping Qty. of described goods in the unit interval, calculate the wear rate λ of described goods in the unit interval, the computing formula of this λ is as follows:

$\mathrm{\λ}=\frac{M}{T}$

Described M is the shipping Qty. of described goods in the described unit interval, and described T is the unit interval;

According to described EOQ Lot-Size Model, calculate the economic purchasing quantity of described goods, the computing formula of described economic purchasing quantity is as follows:

$Q*=\sqrt{\frac{2\mathrm{K\λ}}{h}}$

Wherein, Q ^*For economic purchasing quantity, K is the fixedly ordering cost of every shipments, and λ is the wear rate of described goods in the unit interval, and h is the carrying cost of the unit tank farm stock of described goods in the unit interval.

Described method also comprises:

When described actual inventory is not more than the safety stock of described goods, by sound, light and/or electric hand section, report to the police.

A kind of goods stock's management devices comprises:

Model building module, for according to ordering cost, cost of inventory, wear rate, setting up the EOQ Lot-Size Model of goods, set up the reorder point model of goods according to demand rate, order extraction phase and the predefined deviate of goods;

The tank farm stock administration module, for the stockpile number of Care for Cargo, when the goods shipment was arranged, the shipping Qty. that stockpile number before the shipment of described goods is deducted to described goods obtained the actual inventory of described goods;

Goods service order management module, for ordering goods again during tank farm stock that the actual inventory that calculates when described tank farm stock administration module is not more than that described reorder point model calculates, according to described EOQ Lot-Size Model, calculate the economic purchasing quantity of described goods, order the described goods of described economic purchasing quantity.

Described model building module, specifically as follows be used to the computing formula of setting described EOQ Lot-Size Model:

$Q*=\sqrt{\frac{2\mathrm{K\λ}}{h}}$

Wherein, Q ^*For economic order quantity, K is the fixedly ordering cost of every shipments, and λ is the wear rate of described goods in the unit interval, and h is the carrying cost of the unit tank farm stock of described goods in the unit interval.

Described model building module, specifically extract for the order according to goods the safety inventory model that phase and predefined normal deviate value, preposition phase standard deviation are set up goods, and the computing formula of described safety inventory model is as follows:

$\mathrm{SS}=z\·s_d\·\sqrt{\mathrm{LT}}$

Wherein, SS is safety stock, and z is the normal deviate value, s _dFor the preposition phase standard deviation under certain service level, the time in advance that LT being order;

According to the demand rate of described goods with order goods the time in advance, and described safety inventory sets up the reorder point model of described goods, and the computing formula of described reorder point model is as follows:

ROP＝d·LT+SS

Wherein, described ROP is the tank farm stock of ordering goods again, and d is the demand rate of described goods in the unit interval.

Described goods service order management module, specifically calculate the wear rate λ of described goods in the unit interval for the shipping Qty. according to described goods in the unit interval, the computing formula of this λ is as follows:

$\mathrm{\λ}=\frac{M}{T}$

Described M is the shipping Qty. of described goods in the described unit interval, and described T is the unit interval;

According to described EOQ Lot-Size Model, calculate the economic purchasing quantity of described goods, the computing formula of described economic purchasing quantity is as follows:

$Q*=\sqrt{\frac{2\mathrm{K\λ}}{h}}$

Wherein, Q ^*For economic purchasing quantity, K is the fixedly ordering cost of every shipments, and λ is the wear rate of described goods in the unit interval, and h is the carrying cost of the unit tank farm stock of described goods in the unit interval.

Described goods service order management module, specifically for when described actual inventory is not more than the safety stock of described goods, report to the police by sound, light and/or electric hand section.

By the technical scheme that the embodiment of the invention described above provides, can be found out, the embodiment of the present invention, by utilizing EOQ model, SS model and ROP model to obtain stock's prediction of science, is formulated corresponding stock control standard.Simultaneously, by the Real Time Monitoring of system to tank farm stock, system automatically generates and meets the data model of producing running stock control requirement and traffic performance, realized robotization, economization and the safe of the stock control of goods, has effectively improved the efficiency of the stock control of Scientific research equipment and other items.

The accompanying drawing explanation

In order to be illustrated more clearly in the technical scheme of the embodiment of the present invention, in below describing embodiment, the accompanying drawing of required use is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.

The processing flow chart of a kind of goods stock's that Fig. 1 provides for the embodiment of the present invention one management method;

The application example schematic diagram of a kind of EOQ model, SS model and ROP model that Fig. 2 provides for the embodiment of the present invention one;

The specific implementation structural representation of a kind of goods stock's that Fig. 3 provides for the embodiment of the present invention two management devices.

Embodiment

For ease of the understanding to the embodiment of the present invention, below in conjunction with accompanying drawing, as an example of several specific embodiments example, be further explained explanation, and each embodiment does not form the restriction to the embodiment of the present invention.

Embodiment mono-

The embodiment of the present invention, is analyzed historical data by the mode of model by informationalized means when obtaining at any time the goods actual inventory, Future Data is predicted, proposes the concept of safety stock threshold value.

This embodiment provide a kind of goods stock management method treatment scheme as shown in Figure 1, comprise following treatment step:

Step S110, according to ordering cost, cost of inventory, wear rate, set up the EOQ Lot-Size Model of goods, according to demand rate, order extraction phase and the predefined deviate of goods, set up security model and the reorder point model of goods.

The embodiment of the present invention need to be set up according to ordering cost, cost of inventory, wear rate the EOQ(Economic Order Quantity of goods, economic purchasing quantity) model, the EOQ model is applicable to interval by the gross and stocks up, do not allow memory module in short supply.

The computing formula of described EOQ model is as follows:

$Q*=\sqrt{\frac{2\mathrm{K\λ}}{h}}$

Wherein, Q ^*For economic order quantity, K is the fixedly ordering cost of every shipments, and λ is the wear rate of described goods in the unit interval, and h is the carrying cost of the unit tank farm stock of described goods in the unit interval.Above-mentioned Q ^*For by the inventory cost analysis, trying to achieve in stock's total cost, be hour each orders batch, in order to solve the stock control problem of need for independence article.

According to the order of goods, extract the SS(Safety Stock that phase and predefined normal deviate value, preposition phase standard deviation are set up goods, safety inventory) model, the variation of supposing the demand of described goods meets normal distribution, and the computing formula of described SS model is as follows:

$\mathrm{SS}=z\·s_d\·\sqrt{\mathrm{LT}}$

Wherein, SS is safety stock, and z is the normal deviate value, s _dFor the preposition phase standard deviation under certain service level, the time in advance that LT being order.Above-mentioned safety stock SS refers to the minimum stock (buffer stock) of estimating in order to prevent uncertain factor (as cause specifics such as a large amount of sudden order, sudden postponement at delivery date, interim consumption increase, delivery failures), the demand time in advance that safety stock SS being used for meeting.

Above-mentioned normal deviate value z is also referred to as safety coefficient, and its numerical value is generally decided by this index of service level of regulation, and service level is higher, and safety coefficient is larger, so claim that again safety coefficient is the standard deviation number of set service level.For example requiring service level is 98%, and so corresponding satisfactory rate of information demand is that to look into the safety coefficient that the standardized normal distribution table obtains for 98% time be 2.05, and namely the z value is 2.05.

s _dBe called the preposition phase standard deviation under certain service level, namely meet under the service level that enterprise formulates the time in advance tank farm stock the mean deviation value, reflected the tolerance of data mean value degree of scatter.

According to the demand rate of described goods with order goods the time in advance, and described safety inventory is set up the ROP(Re-Order Point of described goods, reorder point) model, the computing formula of described ROP model is as follows:

ROP＝d·LT+SS

Wherein, described ROP is the tank farm stock of ordering goods again, and d is the demand rate of described goods in the unit interval.The tank farm stock ROP that orders goods again wants appropriateness, if too high, occupied fund is too much, and handling cost is too high, and total cost is just high; If too low, will produce short supply, reduced service level.

Step S120, when the goods shipment is arranged, need the actual inventory of real-time statistics goods.The shipping Qty. that stockpile number before the shipment of described goods is deducted to described goods obtains the actual inventory of described goods.

When having goods to stock up, the quantity in that the front stockpile number of stocking up of goods is added to the above goods obtains the actual inventory of described goods.

Step S130, when ordering goods again during tank farm stock that described actual inventory is not more than that described reorder point model calculates, according to described EOQ Lot-Size Model, calculate the economic purchasing quantity of described goods, order the described goods of described economic purchasing quantity.

According to the shipping Qty. of described goods in the unit interval, calculate the wear rate λ of described goods in the unit interval, the computing formula of this λ is as follows:

$\mathrm{\λ}=\frac{M}{T}$

Described M is the shipping Qty. of described goods in the described unit interval, and described T is the unit interval;

According to described EOQ Lot-Size Model, calculate the economic purchasing quantity of described goods, the computing formula of described economic purchasing quantity is as follows:

$Q*=\sqrt{\frac{2\mathrm{K\λ}}{h}}$

Wherein, Q ^*For economic purchasing quantity, K is the fixedly ordering cost of every shipments, and λ is the wear rate of described goods in the unit interval, and h is the carrying cost of the unit tank farm stock of described goods in the unit interval.

In actual applications, when described actual inventory is not more than the safety stock of described goods, by sound, light and/or electric hand section, report to the police.

In actual applications, can pass through the participation of system self study, and the result that the inventory analysis result is carried out on different levels gathers, find out the deficiency of each model data in analytic process, and according to analysis result, constantly revise inventory model, constantly promoting enterprise equipment supply chain management development.

wherein system self study theory comes from " machine learning " " learning from instruction ", system is passed through from environment (existing historical stock's supplemental characteristic and alarm threshold value) obtaining information, knowledge (real-time model output data) is converted to inner spendable representation, and new knowledge and original knowledge organically are combined as a whole, for example in known models, parameter by once linear match or conic fitting is for increasing the steadiness parameter of model, so system possesses inferential capability to a certain degree, make it can accept new data, and effectively store and apply the knowledge of acquiring.

The application example of a kind of above-mentioned EOQ model, SS model and ROP model that this embodiment provides as shown in Figure 2.During goods warehousing, the initial inventory information of typing goods in the goods information database.The shipment situation of system Real Time Monitoring goods, the 4th day total tank farm stock when recording actual tank farm stock and being A point drops to a B, arrived reorder point, and system prompt enterprise needs order.After enterprise ordered goods, the actual inventory of goods continued to descend, and EOQ arrives at the C point on time, does not need to employ safety inventory, after total tank farm stock rises to the D point.Then, because the expansion of the daily demand amout of goods, tank farm stock is die-offed.When the F point, system alarm, show that enterprise need to employ safety inventory.

This embodiment utilizes above-mentioned EOQ model, SS model and ROP model to obtain stock's prediction of science, formulates corresponding stock control standard.Simultaneously, by system, to the Real Time Monitoring of tank farm stock and early warning, warning system, will ensure economization and the safe of stock control.

Embodiment bis-

This embodiment provides a kind of goods stock's management devices 300, and its specific implementation structure as shown in Figure 3, specifically can comprise following module:

Model building module 310, for according to ordering cost, cost of inventory, wear rate, setting up the EOQ Lot-Size Model of goods, set up the reorder point model of goods according to demand rate, order extraction phase and the predefined deviate of goods;

Tank farm stock administration module 320, for the stockpile number of Care for Cargo, when the goods shipment was arranged, the shipping Qty. that stockpile number before the shipment of described goods is deducted to described goods obtained the actual inventory of described goods;

Goods service order management module 330, for ordering goods again during tank farm stock that the actual inventory that calculates when described tank farm stock administration module is not more than that described reorder point model calculates, according to described EOQ Lot-Size Model, calculate the economic purchasing quantity of described goods, order the described goods of described economic purchasing quantity.

Concrete, described model building module 310, specifically as follows be used to the computing formula of setting described EOQ Lot-Size Model:

$Q*=\sqrt{\frac{2\mathrm{K\λ}}{h}}$

Wherein, Q ^*For economic order quantity, K is the fixedly ordering cost of every shipments, and λ is the wear rate of described goods in the unit interval, and h is the carrying cost of the unit tank farm stock of described goods in the unit interval.

According to the safety inventory model that order extraction phase and predefined normal deviate value, the preposition phase standard deviation of goods are set up goods, the computing formula of described safety inventory model is as follows:

$\mathrm{SS}=z\·s_d\·\sqrt{\mathrm{LT}}$

Wherein, SS is safety stock, and z is the normal deviate value, s _dFor the preposition phase standard deviation under certain service level, the time in advance that LT being order;

According to the demand rate of described goods with order goods the time in advance, and described safety inventory sets up the reorder point model of described goods, and the computing formula of described reorder point model is as follows:

ROP＝d·LT+SS

Wherein, described ROP is the tank farm stock of ordering goods again, and d is the demand rate of described goods in the unit interval.

Concrete, described goods service order management module 330, specifically calculate the wear rate λ of described goods in the unit interval for the shipping Qty. according to described goods in the unit interval, and the computing formula of this λ is as follows:

$\mathrm{\λ}=\frac{M}{T}$

Described M is the shipping Qty. of described goods in the described unit interval, and described T is the unit interval;

According to described EOQ Lot-Size Model, calculate the economic purchasing quantity of described goods, the computing formula of described economic purchasing quantity is as follows:

$Q*=\sqrt{\frac{2\mathrm{K\λ}}{h}}$

Wherein, Q ^*For economic purchasing quantity, K is the fixedly ordering cost of every shipments, and λ is the wear rate of described goods in the unit interval, and h is the carrying cost of the unit tank farm stock of described goods in the unit interval.

Concrete, described goods service order management module, also for when described actual inventory is not more than the safety stock of described goods, report to the police by sound, light and/or electric hand section.

Detailed process and the preceding method embodiment of management that carries out the goods stock with the device of the embodiment of the present invention is similar, repeats no more herein.

In sum, the embodiment of the present invention, by utilizing EOQ model, SS model and ROP model to obtain stock's prediction of science, is formulated corresponding stock control standard.Simultaneously, by the Real Time Monitoring of system to tank farm stock, system automatically generates and meets the data model of producing running stock control requirement and traffic performance, realized robotization, economization and the safe of the stock control of goods, has effectively improved the efficiency of the stock control of Scientific research equipment and other items.

The model for dynamic analysis storehouse that the embodiment of the present invention adopts, can dynamically form the Managed Solution that meets the requirements of the customers, and take the data of science as basis, automated method, for instructing, finally forms automatically and controls in the category of full supply chain management.Therefore for a large amount of stock control requirements, can farthest save workload.By the participation of system self study, increased degree of accuracy and the applicability of overall plan, the development of final promoting enterprise equipment data stock control.And the result that the inventory analysis result is carried out on different levels gathers, and finds out the deficiency of each model data in analytic process, and constantly revises inventory model according to analysis result, constantly promoting enterprise equipment supply chain management development.

The embodiment of the present invention has increased man-machine interaction unit, possess can revise, can rectify a deviation forms Managed Solution more accurately.

One of ordinary skill in the art will appreciate that: accompanying drawing is the schematic diagram of an embodiment, and the module in accompanying drawing or flow process might not be that enforcement the present invention is necessary.

As seen through the above description of the embodiments, those skilled in the art can be well understood to the present invention and can realize by the mode that software adds essential general hardware platform.Based on such understanding, the part that technical scheme of the present invention contributes to prior art in essence in other words can embody with the form of software product, this computer software product can be stored in storage medium, as ROM/RAM, magnetic disc, CD etc., comprise that some instructions are with so that a computer equipment (can be personal computer, server, or the network equipment etc.) carry out the described method of some part of each embodiment of the present invention or embodiment.

Each embodiment in this instructions all adopts the mode of going forward one by one to describe, and between each embodiment, identical similar part is mutually referring to getting final product, and each embodiment stresses is the difference with other embodiment.Especially, for device or system embodiment, substantially similar in appearance to embodiment of the method, so describe fairly simplely, relevant part gets final product referring to the part explanation of embodiment of the method due to it.Apparatus and system embodiment described above is only schematic, wherein said unit as the separating component explanation can or can not be also physically to separate, the parts that show as unit can be or can not be also physical locations, namely can be positioned at a place, or also can be distributed on a plurality of network element.Can select according to the actual needs wherein some or all of module to realize the purpose of the present embodiment scheme.Those of ordinary skills in the situation that do not pay creative work, namely can understand and implement.

The above; only be the present invention's embodiment preferably, but protection scope of the present invention is not limited to this, anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; the variation that can expect easily or replacement, within all should being encompassed in protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.

Claims (10)

1. a goods stock management method, it is characterized in that, according to ordering cost, cost of inventory, wear rate, set up the EOQ Lot-Size Model of goods, according to demand rate, order extraction phase and the predefined deviate of goods, set up the reorder point model of goods, described method specifically comprises:

When the goods shipment was arranged, the shipping Qty. that stockpile number before the shipment of described goods is deducted to described goods obtained the actual inventory of described goods;

When ordering goods again during tank farm stock that described actual inventory is not more than that described reorder point model calculates, according to described EOQ Lot-Size Model, calculate the economic purchasing quantity of described goods, order the described goods of described economic purchasing quantity.

2. goods stock's according to claim 1 management method, is characterized in that, the described EOQ Lot-Size Model of setting up goods according to ordering cost, cost of inventory, wear rate comprises:

The computing formula of described EOQ Lot-Size Model is as follows:

$Q*=\sqrt{\frac{2\mathrm{K\λ}}{h}}$

Wherein, Q ^*For economic order quantity, K is the fixedly ordering cost of every shipments, and λ is the wear rate of described goods in the unit interval, and h is the carrying cost of the unit tank farm stock of described goods in the unit interval.

3. goods stock's according to claim 1 management method, is characterized in that, described demand rate according to goods, order extraction phase and predefined deviate are set up the reorder point model of goods, comprising:

According to the safety inventory model that order extraction phase and predefined normal deviate value, the preposition phase standard deviation of goods are set up goods, the computing formula of described safety inventory model is as follows:

$\mathrm{SS}=z\·s_d\·\sqrt{\mathrm{LT}}$

Wherein, SS is safety stock, and z is the normal deviate value, s _dFor the preposition phase standard deviation under certain service level, the time in advance that LT being order;

According to the demand rate of described goods with order goods the time in advance, and described safety inventory sets up the reorder point model of described goods, and the computing formula of described reorder point model is as follows:

ROP＝d·LT+SS

Wherein, described ROP is the tank farm stock of ordering goods again, and d is the demand rate of described goods in the unit interval.

4. according to claim 1 and 2 or 3 described goods stocks' management method, is characterized in that, the described economic purchasing quantity that calculates described goods according to described EOQ Lot-Size Model comprises:

According to the shipping Qty. of described goods in the unit interval, calculate the wear rate λ of described goods in the unit interval, the computing formula of this λ is as follows:

$\mathrm{\λ}=\frac{M}{T}$

Described M is the shipping Qty. of described goods in the described unit interval, and described T is the unit interval;

According to described EOQ Lot-Size Model, calculate the economic purchasing quantity of described goods, the computing formula of described economic purchasing quantity is as follows:

$Q*=\sqrt{\frac{2\mathrm{K\λ}}{h}}$

Wherein, Q ^*For economic purchasing quantity, K is the fixedly ordering cost of every shipments, and λ is the wear rate of described goods in the unit interval, and h is the carrying cost of the unit tank farm stock of described goods in the unit interval.

5. goods stock's according to claim 4 management method, is characterized in that, described method also comprises:

When described actual inventory is not more than the safety stock of described goods, by sound, light and/or electric hand section, report to the police.

6. a goods stock management devices, is characterized in that, comprising:

Model building module, for according to ordering cost, cost of inventory, wear rate, setting up the EOQ Lot-Size Model of goods, set up the reorder point model of goods according to demand rate, order extraction phase and the predefined deviate of goods;

The tank farm stock administration module, for the stockpile number of Care for Cargo, when the goods shipment was arranged, the shipping Qty. that stockpile number before the shipment of described goods is deducted to described goods obtained the actual inventory of described goods;

Goods service order management module, for ordering goods again during tank farm stock that the actual inventory that calculates when described tank farm stock administration module is not more than that described reorder point model calculates, according to described EOQ Lot-Size Model, calculate the economic purchasing quantity of described goods, order the described goods of described economic purchasing quantity.

7. goods stock's according to claim 6 management devices, is characterized in that, described model building module is specifically as follows be used to the computing formula of setting described EOQ Lot-Size Model:

$Q*=\sqrt{\frac{2\mathrm{K\λ}}{h}}$

Wherein, Q ^*For economic order quantity, K is the fixedly ordering cost of every shipments, and λ is the wear rate of described goods in the unit interval, and h is the carrying cost of the unit tank farm stock of described goods in the unit interval.

8. goods stock's according to claim 6 management devices, it is characterized in that, described model building module, specifically for the order according to goods, extract the safety inventory model that phase and predefined normal deviate value, preposition phase standard deviation are set up goods, the computing formula of described safety inventory model is as follows:

$\mathrm{SS}=z\·s_d\·\sqrt{\mathrm{LT}}$

Wherein, SS is safety stock, and z is the normal deviate value, s _dFor the preposition phase standard deviation under certain service level, the time in advance that LT being order;

According to the demand rate of described goods with order goods the time in advance, and described safety inventory sets up the reorder point model of described goods, and the computing formula of described reorder point model is as follows:

ROP＝d·LT+SS

Wherein, described ROP is the tank farm stock of ordering goods again, and d is the demand rate of described goods in the unit interval.

9. according to claim 6 or 7 or 8 described goods stocks' management devices, it is characterized in that, described goods service order management module, specifically calculate the wear rate λ of described goods in the unit interval for the shipping Qty. according to described goods in the unit interval, the computing formula of this λ is as follows:

$\mathrm{\λ}=\frac{M}{T}$

Described M is the shipping Qty. of described goods in the described unit interval, and described T is the unit interval;

According to described EOQ Lot-Size Model, calculate the economic purchasing quantity of described goods, the computing formula of described economic purchasing quantity is as follows:

$Q*=\sqrt{\frac{2\mathrm{K\λ}}{h}}$

Wherein, Q ^*For economic purchasing quantity, K is the fixedly ordering cost of every shipments, and λ is the wear rate of described goods in the unit interval, and h is the carrying cost of the unit tank farm stock of described goods in the unit interval.

10. goods stock's according to claim 9 management devices, is characterized in that, described goods service order management module, specifically for when described actual inventory is not more than the safety stock of described goods, is reported to the police by sound, light and/or electric hand section.

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