CN104021426A - Goods allocation optimization system based on combination of product multidimensional elements and method thereof - Google Patents

Abstract

The invention relates to a goods allocation optimization system based on combination of product multidimensional elements and a method thereof and belongs to the field of a logistics storage technology. By modes of coordinate curves, matrix model and the like and by integrating various factors such as product-related warehouse-out quantity, warehouse-out frequency, product characteristics and the like, products are divided into six types; and based on the classification, a detailed goods allocation distribution model is given, and a multidimensional factors-combined goods allocation optimization mode is finally constructed. The system and the method provided by the invention have very positive effects of raising utilization rate of storage capacity, shortening input/output time and enhancing storage equipment, and are suitable for various turnover warehouses.

Description

A kind of goods yard optimization system and method based on the combination of product Muhivitamin Formula With Minerals

Technical field

The present invention relates to a kind of goods yard optimization system and method based on the combination of product Muhivitamin Formula With Minerals, belong to logistics-storage technique field.

Background technology

Current goods yard optimization method mainly relies on ABC Classification to complete, ABC Classification claims again ABC analysis approach, is the principal character at technology or economic aspect according to things, classifys and list in order of importance and urgency, distinguish emphasis and general, thereby determine discriminatively a kind of technical method of way to manage.In the application of goods yard planning, normally product is divided into three classes according to the size of outbound amount, from theory, category-A is the product of year or monthly outbound amount maximum, these products may account for 1 15 of product sum, but its outbound amount accounts for 70 to 80 percent of product sum, and category-B is year or the medium product of monthly outbound amount, these products account for 30 percent of all over products, account for 1 15 to 25 of total outbound amount; C class is year or the minimum product of monthly outbound amount, only accounts for 5 percent of whole outbound amounts, but accounts for 55 percent of product sum.According to the classification of ABC, when carrying out goods yard planning, pay the utmost attention to category-A product, place it in from outlet and the nearest position of passage, so that the in-out-storehouse management of product; Consider afterwards category-B product, place it in except category-A product comparatively the position near outlet and passage; Finally arrange C series products, be generally placed on A, category-B product position in addition.As can be seen here, ABC sorting technique mainly solves warehouse article position planning problem.

But ABC Classification only relies on single index, as the size of outbound amount is classified to product, other elements relevant to product have been ignored, as value of the product, product year stock's currency occupancy volume, go out to put in storage frequency etc., there is certain one-sidedness and limitation, rely on this technology to carry out warehouse and plan that rationality is strong, precision is lower, has caused product warehousing and ex-warehouse time and effort consuming, has blocked the lifting of product stream transfer efficient.

Summary of the invention

The technology of the present invention is dealt with problems: overcome the deficiencies in the prior art, a kind of goods yard optimization system and method based on the combination of product Muhivitamin Formula With Minerals is provided, overcome the obstacle that ABC Classification precision is low, systemization is low, can effectively improve articles from the storeroom circulation efficiency, increase storage capacity rate, reduce manually and the consumption of equipment, for enterprise provides a kind of systematic, brand-new warehouse layout technological system and method.

The technology of the present invention solution: a kind of goods yard optimization system based on the combination of product Muhivitamin Formula With Minerals, comprising: central server, warehouse server and terminal server; Central server is communicated with letter with warehouse server by LAN (Local Area Network), warehouse server communicates by LAN (Local Area Network) and terminal server; Described central server receives customer order, service data acquisition module in warehouse server, service data processing module, product single-element sort module, the first product compressive classification and warehouse planning module and the second product compressive classification and warehouse planning module in terminal server; Wherein:

Data acquisition module in warehouse server: when product warehousing, by RFID technology (radio RF recognition technology) the sweep record attribute relevant to product self, the weight, volume and frangible, the easy deformation aspect that comprise product, be sent to warehouse server and store; The order that warehouse server receiving center server is sent, form the monthly outbound amount of annual conference and the outbound frequency of product, year or the monthly product attribute and go out library information of each type of comprehensive improvement, form EXCEL log file, delivers to the data processing module of terminal by LAN (Local Area Network);

Data processing module in terminal server: accept the document data record that data acquisition module produces, the data of the previous year of selection, as sample, according to the overall condition of product in warehouse, arrange relevant data target; Aspect product warehouse-out situation, according to ABC Classification method and principle, divide respectively the data interval of product warehouse-out amount and outbound frequency; Aspect product self attributes, fixed value h and w are set and weigh respectively small product size and weight, if the volume of product is greater than h, or the weight of product is greater than w, or product has frangible, yielding feature, set this product and there is singularity, form interval division data and product attribute document data record is set, be kept in terminal server, deliver to the single division module of product;

Product single-element sort module in terminal server: accept dividing data and product attribute settings between product zone that data processing module produces, according to two class dividing data and a kind of settings, product is carried out respectively to the classification of three kinds of forms: the size of or annual outbound amount monthly according to product, is designated as A/B/C tri-classes; The height of or annual outbound frequency monthly according to product, is designated as H/M/L tri-classes; Weight, volume and the characteristic of investigating product, represent with ε, if product does not exist weight, volume or other requirements, makes ε=1, and all grouped datas of product are delivered to the first product compressive classification and warehouse planning module; If excessive, overweight or frangible, the easy deformation of product, makes ε=D, all grouped datas of product are delivered in the second product compressive classification and warehouse planning module;

The first product compressive classification and warehouse planning module in terminal server: accept product single-element and divide the product classification data that module produces, due to ε=1, all products do not relate to self character problem, only pay close attention to outbound amount and the outbound frequency of goods; The data that produce according to product single-element sort module, outbound amount and descending each of outbound frequency have divided Three Estate, call matrix operation function, and product comprehensively produces 9 types:

For more simple and easy to do when producing goods yard plan model, 9 kinds of product types are carried out to polymerization, form three kinds of product categories and determine priority:

According to priority update goods yard planning technology model, by LAN (Local Area Network), technology model is sent to warehouse server and applies, the warehouse layout model of optimization has solved product type in former technology and has divided monistic deficiency.

The second product compressive classification and warehouse scale piece: accept product single-element and divide the product classification data that module produces, due to ε=D, and the value of D is greater than 1, illustrate in warehouse, to have that volume is excessive, quality is overweight or product frangible, easy deformation, need emphasis to consider; According to whether having singularity, product is divided into two classes; According to outbound amount data, product is divided three classes; According to outbound frequency data, product is divided three classes, and calls matrix operation function, obtains 18 kinds of product types:

By 18 types of product polymerizations, obtain 6 kinds of product categories and priority thereof,

Based on product type and priority update goods yard planning technology model, by LAN (Local Area Network), technology model being sent to warehouse server applies, the warehouse layout model of optimizing solved in former technology ignores product singularity completely, product type is divided according to monistic deficiency, improved the applicability of technology and expanded the application of technology.

The present invention's advantage is compared with prior art:

(1) the present invention is by considering outbound amount, outbound frequency and the product performance of product, optimized warehouse layout technology model, effectively solve one-sidedness and the limitation of original technology, precision and the practicality of technology are greatly improved, in warehouse, use this technology, the consumption that contribute to increase storage capacity rate, reduces artificial and equipment, finally promotes warehouse circulation efficiency.

(2) the present invention has provided a kind of brand-new Matrix Classification technology mode, uses the computing of matrix that product type is segmented, then according to matrix feature, similar product is carried out to polymerization.This technology can effectively be caught the feature of product, classifies scientific and reasonable, aspect product inventory management and warehouse planning, all has certain property promoted the use of.

Accompanying drawing explanation

Fig. 1 is composition frame chart of the present invention;

Fig. 2 is data acquisition module process flow diagram of the present invention;

Fig. 3 is data processing module process flow diagram of the present invention;

Fig. 4 is product single-element classification process figure of the present invention;

Fig. 5 is the first product compressive classification of the present invention and warehouse planning module process flow diagram;

Fig. 6 is product classification coordinate diagram of the present invention;

Fig. 7 is 9 kinds of product classification matrix diagram in the present invention;

Fig. 8 is the goods yard distribution plan of not considering product performance in the present invention;

Fig. 9 is the second product compressive classification of the present invention and warehouse planning module process flow diagram;

Figure 10 is 18 kinds of product classification matrixes in the present invention;

Figure 11 is the goods yard distribution plan of considering product performance in the present invention.

Embodiment

As shown in Figure 1, the present invention includes: central server, warehouse server and terminal server; Central server receives customer order, service data acquisition module in warehouse server, service data processing module, product single-element sort module, the first product compressive classification and warehouse planning module the second product compressive classification and warehouse scale piece in terminal server.

Hardware device type selecting wherein:

Central server, receives the order that client sends, and order is sent to warehouse server, and minimalist configuration requires:

CPU frequency: 128GHz

Internal memory: 64GB

Hard-disk capacity: 128T

Ethernet card: gigabit

Warehouse server, accepts an order, storage products information, and generated data file, minimalist configuration requires:

CPU frequency: 128GHz

Internal memory: 64GB

Hard-disk capacity: 128T

Terminal server, generates goods yard plan optimization technology model, and minimalist configuration requires:

CPU frequency: 3GHz

Internal memory: 3.2GB

Hard-disk capacity: 2T

Ethernet card: 100,000,000

RFID scanner, obtains product attribute information;

Keyboard, commands and handles server

Whole implementation procedure is as follows:

(1) when product warehousing, by RFID technology (radio RF recognition technology) the sweep record attribute relevant to product self, weight, volume and the product singularity (being mainly reflected in the aspects such as frangible, easy deformation) that comprise product, be stored to warehouse server by data result; The order that warehouse server receiving center server is sent simultaneously, arrange the year or monthly outbound amount and the outbound frequency that form product, the product attribute of each product of synthesis and go out library information, forms EXCEL log file afterwards, delivers to the data processing module of terminal by LAN (Local Area Network).

(2) terminal receives the document data record that data acquisition module forms, and by Keyboard Control server, to data analysis and processing, the class interval of product is set.Aspect product warehouse-out situation, according to ABC Classification method and principle, product warehouse-out amount and product warehouse-out frequency are divided into respectively to three data intervals; Aspect product self attributes, fixed value h and w are set and weigh respectively small product size and weight, if the volume of product is greater than h, or the weight of product is greater than w, or product has frangible, yielding feature, sets this product needed special processing.Between conservation zone, dividing data and product attribute settings, to server, are delivered to the single division module of product.

(3) according to the result of data processing module, product is classified according to single-element.First be or annual outbound amount monthly according to product, product is designated as to A, B, C tri-classes; Secondly the monthly or annual outbound frequency according to product, is designated as H, M, L tri-classes by product; Finally contrast the size of each small product size, weight and h, m, and frangible and deformation whether, investigate product and whether need special processing, if not, above-mentioned all data results that the above-mentioned all data results that produce are for the first product compressive classification and warehouse planning module calls, if so, produce call for the second product compressive classification and warehouse planning module.

(4) if product does not relate to excessive, overweight or frangible, yielding situation, only pay close attention to outbound amount and the outbound frequency of goods, according to these two elements, product is respectively divided into three kinds, and produce 9 kinds of permutation and combination methods, again product is comprehensively divided into important, general, less important three kinds of large classes, produce accordingly the goods yard planning technology model of optimizing.Otherwise, according to product, whether need special processing to be divided into two classes, according to outbound amount and outbound frequency, be respectively divided three classes, produce 18 kinds of permutation and combination methods, then product is polymerized to 6 kinds of large classes, produce afterwards the goods yard planning technology model of optimizing.Technology model is resent to warehouse server by LAN (Local Area Network), more New Warehouse goods yard layout.

Below all modules are elaborated.

1. data acquisition module

The implementation procedure of this module is as shown in Figure 2:

(1) during product warehousing, by RFID equipment, obtain all product attribute informations, the related datas such as volume, weight, singularity are saved in warehouse server to generated data file.

(2) order that warehouse server receiving center server is sent, arranges the year or monthly outbound amount and the outbound frequency that form product, generated data file.

(3) gather above-mentioned two kinds of data files, generate the attribute information of each product of warehouse and go out library information, form EXCEL summary sheet.

(4) by LAN (Local Area Network), be sent to the data processing module of terminal.

2. data processing module

The implementation procedure of this module is as shown in Figure 3:

(1) accept the data file that data acquisition module produces.

(2) gather product monthly or annual outbound amount and outbound frequency data, according to ABC Classification principle, respectively two groups of data are divided into three intervals.

(3) according to fork truck in warehouse, the actual conditions such as artificial, set up volume index h and weight indicator m, volume is greater than to h, or weight is greater than m, or frangible, the yielding product of product is set as specialities.

(4) data message is saved to terminal server.

(5) data message is sent to product single-element sort module.

3. product single-element sort module

The implementation procedure of this module is as shown in Figure 4:

(1) accept data interval division that data processing module produces and volume, weight settings.

(2) the monthly or annual outbound amount of all products is mated with outbound amount data interval, according to matching result by product be divided into A B C tri-classes, be designated as φ,

$\mathrm{\φ}=\left(\begin{array}{c}A\\ B\\ C\end{array}\right)$

Wherein A is the product that outbound amount is larger; B is the product that outbound amount is moderate; C is the product that outbound amount is less.

(3) the monthly or annual outbound frequency of all products is mated with outbound frequency data interval, according to matching result, product is divided into H/M/L tri-classes, be designated as θ,

$\mathrm{\θ}=\left(\begin{array}{c}H\\ M\\ L\end{array}\right)$

Wherein H is the product that outbound frequency is larger; M is the product that outbound frequency is moderate; L is the product that outbound frequency is less.

(4) by h, volume, the weight of m and product contrast, and with ε, represent, if product is overweight, excessive or frangible, make ε=D >=1, if product does not exist the restriction of weight, volume etc., also there is no singularity requirement, make ε=1,

$\mathrm{\ϵ}=\left(\begin{array}{c}1\\ 0\\ D\end{array}\right)$

(5) if D=1 is sent to the first product compressive classification and goods yard planning module by product classification data; If D > 1, is sent to the second product compressive classification and goods yard planning module by product classification data.

4. the first product compressive classification and goods yard planning module:

The implementation procedure of this module is as shown in Figure 5:

(1) accept the product classification data that product single-element sort module produces.

(2) product is carried out to compressive classification, detailed process is as follows:

Call matrix operation function, due to D=1, so

$\mathrm{\φ}\×\mathrm{\θ}\×\mathrm{\ϵ}=\left(\begin{array}{c}A\\ B\\ C\end{array}\right)\left(\begin{array}{ccc}H& M& L\end{array}\right)\left(\begin{array}{ccc}1& 0& 1\end{array}\right)=\left(\begin{array}{ccc}\mathrm{AH}& \mathrm{AM}& \mathrm{AL}\\ \mathrm{BH}& \mathrm{BM}& \mathrm{BL}\\ \mathrm{CH}& \mathrm{CM}& \mathrm{CL}\end{array}\right)$

Do not considering under the prerequisite of product self character, only relying on outbound amount and frequency product can be divided into 9 classes:

$\left[\begin{array}{ccc}\mathrm{AH}& \mathrm{AM}& \mathrm{AL}\\ \mathrm{BH}& \mathrm{BM}& \mathrm{BL}\\ \mathrm{CH}& \mathrm{CM}& \mathrm{CL}\end{array}\right]$

9 series products have certain regular feature: AH type is the maximum high product of outbound frequency simultaneously of outbound amount, should in the planning of goods yard, pay the utmost attention to; CL type is the product that outbound amount is minimum, outbound frequency is minimum, in goods yard is distributed, does not occupy consequence.

(3) use quadrantal diagram theoretical, 9 kinds of product classifications are investigated from the angle of coordinate system, its situation as shown in Figure 6, therefore according to quadrantal diagram, again 9 kinds of subclassifications are aggregated into three kinds of large classes: the first kind is AH, BH and AM, be designated as I, the feature of this series products is that outbound amount is large, to go out to put in storage frequency higher, is major products; Equations of The Second Kind is BH, BM and BL, is designated as II, and the feature of this series products is that outbound amount and frequency are all medium, or has that a side is large, a side is less, is common product; The 3rd class is CM, BL, CL, is designated as III, and the product of this class is still all less from the angle of outbound frequency from the angle of outbound amount, is auxiliary product.These three kinds of large classes be divided in rule in matrix diagram as shown in Figure 7.

(4) according to products perfection goods yard planning technology model: the product of I class is placed on from outlet and the nearest position of passage, II series products is placed on from outlet and the moderate position of passage, and III series products is placed the position beyond I class and II series products.Detailed goods yard distributed model as shown in Figure 8.

(5) the goods yard planning technology model of not considering product singularity completes, and technology model is sent to warehouse server by LAN (Local Area Network) from terminal server, according to technology model, completes warehouse layout planning.

5. the second product compressive classification and warehouse planning module

The implementation procedure of this module is as shown in Figure 9:

(1) accept the grouped data that product single-element sort module produces.

(2) product is carried out to compressive classification, detailed process is as follows:

Due to D>1, the product that has in product that volume is excessive, quality is overweight or have singularity (as fragile article) is described, call matrix operation function, now,

$\mathrm{\φ}\×\mathrm{\θ}\×\mathrm{\ϵ}=\left(\begin{array}{c}A\\ B\\ C\end{array}\right)\left(\begin{array}{ccc}H& M& L\end{array}\right)\left(\begin{array}{ccc}1& 0& D\end{array}\right)=\left(\begin{array}{ccc}\mathrm{AH}+\mathrm{AM}+\mathrm{AL}& 0& \mathrm{AHD}+\mathrm{AMD}+\mathrm{ALD}\\ \mathrm{BH}+\mathrm{BM}+\mathrm{BL}& 0& \mathrm{BHD}+\mathrm{BMD}+\mathrm{BLD}\\ \mathrm{CH}+\mathrm{CM}+\mathrm{CL}& 0& \mathrm{CHD}+\mathrm{CMD}+\mathrm{CLD}\end{array}\right)$

Considering under the prerequisite of product self character, product according to outbound amount, go out to put in storage frequency and give birth to 18 kinds of classification with self character common property:

$\left[\begin{array}{cccccc}\mathrm{AH}& \mathrm{AM}& \mathrm{AL}& \mathrm{AHD}& \mathrm{AMD}& \mathrm{ALD}\\ \mathrm{BH}& \mathrm{BM}& \mathrm{BL}& \mathrm{BHD}& \mathrm{BMD}& \mathrm{BLD}\\ \mathrm{CH}& \mathrm{CM}& \mathrm{CL}& \mathrm{CHD}& \mathrm{CMD}& \mathrm{CLD}\end{array}\right]$

(3) on the basis of dividing in I, II, III, classify AHD, AMD, BHD as a large class, its implication is the major products that retrain for take D, is designated as I '; Classify ALD, BMD, CHD as a large class, its implication is the common product of constraint to be designated as II for take D '; Classify CMD, BLD, CLD as a large class; Its implication is the auxiliary product of constraint to be designated as III for take D '.Thus, above-mentioned 18 kinds of little classification aggregate into 6 kinds of large classification, in matrix, the rule of these six kinds of large classification as shown in figure 10, above, mention, first the present invention considers whether product has singularity, in the matrix of Figure 10, left side belongs to the product without singularity, right side belongs to the product with singularity, more simple and easy to do for goods yard is divided, respectively by 9 series products on 9 series products in left side and right side according to the large class of correlated characteristic copolymerization six, and determine priority according to the singularity of product, outbound amount and outbound frequecy characteristic.

(4) in the goods yard planning of six kinds of product classifications, the priority orders that goods yard arranges is: I ', I (AH), II ', I (AM, BH) II, III ', III.In integral body, in the arrangement from important to less important, pay the utmost attention to overweight, excessive or frangible product, because these product needed expend more man power and material.

(5) according to the priority of product, optimize goods yard planning technology model, goods yard distribution technique model as shown in figure 11 in detail, first arrange to there is singularity, outbound amount and outbound frequency proportion all at more than 20% product, place it in the position near doorway, be easy to deposit and outbound; Secondly arrange do not there is singularity, outbound amount and outbound frequency proportion all at more than 20% product, place it on Shao Yuan main channel, doorway, be convenient to inbound/outbound process; Again arrange other all products with singularity, this series products, due to frangible, excessive or overweight, need to especially be noted when carrying out access, the goods yard of therefore should giving priority in arranging for; Finally arrange other all products without singularity, according to the size of product warehouse-out amount and outbound frequency, made rational planning in goods yard.

(6) the warehouse planning technology model of consideration product singularity completes; Technology model is sent to warehouse server by LAN (Local Area Network) from terminal server, according to technology model, upgrades goods yard layout.

Claims (2)

1. the goods yard optimization system based on the combination of product Muhivitamin Formula With Minerals, is characterized in that comprising: central server, warehouse server and terminal server; Central server is communicated with letter with warehouse server by LAN (Local Area Network), warehouse server communicates by LAN (Local Area Network) and terminal server; Described central server receives customer order, service data acquisition module in warehouse server, service data processing module, product single-element sort module, the first product compressive classification and warehouse planning module and the second product compressive classification and warehouse planning module in terminal server; Wherein:

Data acquisition module in warehouse server: when product warehousing, by RFID technology (radio RF recognition technology) the sweep record attribute relevant to product self, comprise product weight, volume, frangible and easy deformation aspect, be sent to warehouse server and store; The order that warehouse server receiving center server is sent, form the monthly outbound amount of annual conference and the outbound frequency of product, year or the monthly product attribute and go out library information of each type of comprehensive improvement, form EXCEL log file, delivers to the data processing module of terminal by LAN (Local Area Network);

Data processing module in terminal server: accept the document data record that data acquisition module produces, the data of the previous year of selection, as sample, according to the overall condition of product in warehouse, arrange relevant data target; Aspect product warehouse-out situation, according to ABC Classification method and principle, divide respectively the data interval of product warehouse-out amount and outbound frequency; Aspect product self attributes, fixed value h and w are set and weigh respectively small product size and weight, if the volume of product is greater than h, or the weight of product is greater than w, or product has frangible, yielding feature, set this product and there is singularity, form interval division data and product attribute document data record is set, be kept in terminal server, deliver to the single division module of product;

Product single-element sort module in terminal server: accept dividing data and product attribute settings between product zone that data processing module produces, according to two class dividing data and a kind of settings, product is carried out respectively to the classification of three kinds of forms: the size of or annual outbound amount monthly according to product, is designated as A/B/C tri-classes; The height of or annual outbound frequency monthly according to product, is designated as H/M/L tri-classes; Weight, volume and the characteristic of investigating product, represent with ε, if product does not exist weight, volume or other requirements, makes ε=1, and all grouped datas of product are delivered to the first product compressive classification and warehouse planning module; If excessive, overweight or frangible, the easy deformation of product, makes ε=D, all grouped datas of product are delivered in the second product compressive classification and warehouse planning module;

The first product compressive classification and warehouse planning module in terminal server: accept product single-element and divide the product classification data that module produces, due to ε=1, all products do not relate to self character problem, only pay close attention to outbound amount and the outbound frequency of goods; The data that produce according to product single-element sort module, outbound amount and descending each of outbound frequency have divided Three Estate, call matrix operation function, and product comprehensively produces 9 types:

9 kinds of product types are carried out to polymerization, form three kinds of product categories and determine priority:

According to priority update goods yard planning technology model, by LAN (Local Area Network), technology model is sent to warehouse server and applies;

The second product compressive classification and warehouse planning module in terminal server: accept product single-element and divide the product classification data that module produces, due to ε=D, and the value of D is greater than 1, illustrate in warehouse, to have that volume is excessive, quality is overweight or product frangible, easy deformation, need emphasis to consider; According to whether having singularity, described singularity refers to frangible, easy deformation, and product is divided into two classes; According to outbound amount data, product is divided three classes; According to outbound frequency data, product is divided three classes, and calls matrix operation function, obtains 18 kinds of product types:

By 18 types of product polymerizations, obtain 6 kinds of product categories and priority thereof:

Based on product type and priority update goods yard planning technology model, by LAN (Local Area Network), technology model is sent to warehouse server from terminal server, in warehouse server, apply.

2. the goods yard optimization method based on the combination of product Muhivitamin Formula With Minerals, is characterized in that performing step is as follows:

(1) when product warehousing, by radio RF recognition technology, i.e. the relevant attribute of RFID sweep record and product self, comprises weight, volume and the product singularity of product, and described singularity refers to frangible, easy deformation, is stored to warehouse server; The order that warehouse server receiving center server is sent simultaneously, form the monthly outbound amount of annual conference and the outbound frequency of product, the product attribute of each type of comprehensive improvement and go out library information, forms EXCEL log file, delivers to the data processing module of terminal by LAN (Local Area Network);

(2) data analysis and the processing to data acquisition module record, arranges the class interval of product; Aspect product warehouse-out situation, according to ABC Classification method and principle, product warehouse-out amount and product warehouse-out frequency are divided into respectively to three data intervals; Aspect product self attributes, fixed value h and w are set and weigh respectively small product size and weight, if the volume of product is greater than h, or the weight of product is greater than w, or product has frangible, yielding feature, set this product needed special processing, dividing data and product attribute settings between terminal server conservation zone, deliver to the single division module of product;

(3) according to the result of data processing module, product being classified according to single-element, is first or annual outbound amount monthly according to product, by product be designated as A B C tri-classes; Secondly the monthly or annual outbound frequency according to product, is designated as H/M/L tri-classes by product; The size of last contrast product volume, weight and h, m, and frangible and deformation whether, investigate product and whether need special processing, if not, the data result that the data result producing is for the first product compressive classification and warehouse planning module calls, if so, produce calls for the second product compressive classification and warehouse scale piece;

(4) if product does not relate to situation excessive, overweight or frangible, changeableness, only pay close attention to outbound amount and the outbound frequency of goods, according to these two elements, product is respectively divided into three kinds, and produce 9 kinds of permutation and combination methods, again product is comprehensively divided into important, general, less important three kinds of large classes, and arrange thus product goods yard; Otherwise, according to product, whether need special processing to be divided into two classes, according to outbound amount and outbound frequency, be respectively divided three classes, produce 18 kinds of permutation and combination methods, again product is polymerized to 6 kinds of large classes, according to product priority, generate the warehouse layout technology model of optimizing afterwards, by LAN (Local Area Network), from terminal server, be sent to warehouse server, in warehouse server, apply.