TW200400449A - Distribution processing system, distribution processing device and distribution processing method - Google Patents
Distribution processing system, distribution processing device and distribution processing method Download PDFInfo
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Description
[200400449 五、發明說明(i) 一、【發明所屬之技術領域】 本發明係關於針對複數配送對 的物之系統、裝置、及 f决,如何配送配送標 -=對複數店舖配送商品者相關。 一、【先刖技術】 傳統上’係採用依據配送者側 之經驗的試行錯誤方式,來每 缸驗或各店舖負貝人 相對於此,日太m3 ία。 複數店舖之商品配送。 的商品陣容系統。其係為了實現各k占*之商品 而在考慮「店舖之特徵(地理條件、業南之最能佳商品陣容,, 應有之商品陣容的商品特徵」及「 〃 ^專)、各店舖 各種商品之銷售實績」,而自動:徵、各店舖之 商品者。 、適曰陳列於各店舖之 然而’此種系統卻有以下之問題。箆― =為首度在店舖銷售場合(新商品二,配送之商 商品,銷售實績。因此,無法使用上^方ί店舖不存在該 第二,欲配送之商品對店 / 。 少時或為稀少商品等時,談 /而$ ’係銷售數量較 此,即使使用上述方法,^目關之銷售實績較少。因 而無法提高各店舖之銷售』。之銷售實績亦不具意義, 第三,因操作者不易掌握複數 的資料,操作者本身不易在考慮其銷售實績本身 配送方法。亦即,操作者 ^ 、曰售貫績的情形下決定 本發明之目的,係在:;以;=送方法^ 解决此種問題而提高 $ 6頁 五、發明說明(2) 配送對象之經營效率 反映至配送方法上的配送處理m地將操作者之意識 有較充實之銷售實績的商口 售出去之店舖,而將 進而提高各店舖之銷售效运至銷售情況較佳之店舖, 三、【發明内容】 對象終端裝ί月酉特徵,係具有複數配送 象終端裝置係記錄標心ί;營行装[配送對 ,各配送對象終端裝置接收:酉:;象:;處理裝置 營實績資訊並執行記錄,並依據對庫以j之標的物之經 標的物之經營實績資訊,將各配送預、定==新配送之配送 :執行全新配送之配送標的物之總量行分類,接 對象決定之分類,產生如何對前=對各配送預定 配送標的物之配送資料,並將前述配送;;;對象配送該 仃裝置,配送執行裝置則會接收前述配送送至配送執 送資料執行以將該配送標的物配逆二料,依據該配 理。 配运封象為目的之處 (2)〜(4)本發明之配送處理裝置,备 何將配送標的物配送至各配送對象為目 生以決疋如 特徵為’接收各配送對象之標的物之經營送資料’ 1 對應執行全新配送之配送標的物之經營二π資訊,依據 送預定對象進行分類,接收執行全新:資訊,將各配 4配迗之配送標的物之 200400449 五、發明說明(3) ' ------- -- 總里’以針對各配送預定對象決定之 述各配送預定對象配送該配送標的物之二產生如何對前 因此’因係採用以各配送對象之經M 2 。 之分類來決定配送方法,故可提高今德:貝、、、貧訊為基礎 營效率。例如,卻對複數店舖配送商品時配送標的物之經 铺之該商品營業實績為基礎的分類,故妲^採用以各店 該商品的銷售效率,結果,可促進營 回店舖整體之 又’可以由操作者等選取配送對象二 類、或決定其配送量而對各分類設定加式^限定其分 意識可以报容易即反映至配送方法上。、’操作者等之 又’利用分類之方式 變更配送方法。 可以很容易地 對應不 同狀況來 (5 )本發明之配送處理裝置的特徵,係 、 一個配送預定對象配送配送標的物、赤糸產生代表對那 對象配送多少配送標的物之前述配送資料。,配运預定 呀依據分類決定對各店舖之配送標的物之配利】,方式, (6)本發明之配送處理裝置的特徵為二、、 送標的物之經營實績資訊係該配送標的物之、^ 2則述配 資訊。利用此方式’若存在適當之配送辦 二去、左呂灵績 &年示的物之姆與命 資訊時,因係利用該經營實績資訊,故^f4 S汽績 應最佳之配送標的物。 了對各配送對象供 徵為,對應於前述 的物所屬之群組整 配 m (7 )本發明之配送處理裝置的特 送標的物之經營實績資訊係該配送標 的過去經營實績資訊。[200400449 V. Description of the invention (i) 1. [Technical field to which the invention belongs] The present invention relates to a system, a device, and a device for a plurality of distribution pairs. . I. [Advanced Technology] Traditionally, it is a trial-and-error method based on the experience of the distributors, which is based on the experience of each vat or each store. In contrast, Ritai m3 ία. Product distribution at multiple stores. Product lineup system. In order to realize the products that each accounted for *, it considers "the characteristics of the store (geographical conditions, the best product lineup in Yenan, the product characteristics of the product lineup that should be available" and "〃 ^ special), "Product sales performance", and automatic: levy, the products of each store. It is suitable for display in various shops. However, this system has the following problems.箆 ― = is the first time that it was sold in a store (new product two, the merchant's product delivered, and sales performance. Therefore, it is not possible to use the above ^ shop does not exist in the second, the product to be delivered to the store /. Sometimes or for For rare products, etc., "/" is the number of sales compared to this. Even if the above method is used, the sales performance of the project is relatively small. Therefore, it is not possible to increase the sales of various stores. "The sales performance is not meaningful. Third, because It is difficult for the operator to grasp plural data, and it is difficult for the operator to consider the distribution method of the sales performance itself. That is, the purpose of the present invention is determined by the operator ^, the sales performance, which is: ^ Solve this kind of problem and increase $ 6. Page 5 5. Invention description (2) The operating efficiency of the delivery object is reflected in the delivery process of the delivery method. The operator's consciousness has a better sales performance. Stores, which will further improve the sales efficiency of each store to the stores with better sales conditions. [Contents of the Invention] The characteristics of the target terminal equipment, including the characteristics of multiple terminal devices Biaoxin ί; business equipment [delivery pair, each delivery object terminal device receives: 酉:; elephant :; processing device business performance information and execution records, and based on the business performance information of the subject matter of the object with j, Classify each delivery pre-determined == new delivery: classify the total amount of the delivery target for the new delivery, then follow the classification determined by the object to generate how to forward = deliver the delivery information for each delivery scheduled delivery target, and The aforementioned delivery; ;; The target delivers the 仃 device, and the delivery execution device will receive the aforementioned delivery and send it to the delivery delivery data to execute the reverse distribution of the subject matter of the delivery, according to the allocation. (2) ~ (4) The delivery processing device of the present invention is prepared for the purpose of delivering the delivery target to each delivery target for the purpose of determining if the feature is 'receive the management delivery information of the delivery target of each delivery target' 1 corresponding implementation The management information of the delivery target of the new delivery is classified according to the delivery target, and it is received and executed. Brand new: information, each of the delivery targets with 4 distributions is 200,400,449. 5. Description of the invention (3 ) '--------Zongli' is determined for each delivery reservation object. How each delivery reservation object distributes the delivery object is how to deal with it. Therefore, the reason is to use the delivery M of each delivery object. 2. The classification determines the distribution method, so it can improve the efficiency of the current German-Beijing: Shell, Steel, and Poor News-based business. For example, it categorizes the business performance of the product based on the sales performance of the target object when multiple stores deliver the product. Therefore, the sales efficiency of the product in each store is adopted. As a result, the entire store can be promoted. The operator can select the second type of delivery object or determine its delivery volume. Subconsciousness can be easily reported and reflected in the distribution method. "Operator etc." can change the distribution method by classification. It can easily correspond to different situations. (5) The characteristics of the distribution processing device of the present invention are: A delivery schedule object distributes the delivery target object, and redhead generates the aforementioned delivery data representing how many delivery targets are delivered to that object. The distribution plan determines the distribution of the distribution target of each store according to the classification], method, (6) The characteristics of the distribution processing device of the present invention are as follows: 2. The operation performance information of the delivery target is the distribution target. , ^ 2 describes the distribution information. If you use this method, if there is an appropriate distribution office, go to Zuo Lu Lingji & the material and life information shown in the year, because the operating performance information is used, ^ f4 S steam performance should be the best delivery target. In order to supply each distribution object, the distribution corresponding to the group to which the aforementioned object belongs is provided. M (7) The operation performance information of the special object of the distribution processing device of the present invention is the past business performance information of the distribution object.
第8頁 200400449 五、發明說明(4) 利用$方式’即使配送標的物之經 時或較少時,因係利用該配掺俨沾呂貝、、、貝貝几不存在 績資訊,故可對各s;象;所屬之群組的經營實 如,欲對複數店舖配:配送標的物。例 容。 貝貝故各店舖可實現最佳之商品陣 送資(:,送處理裝置的特徵為,會產生前述配 =來料係代表針對依對配送預定對象決定 選擇配送對象配送多少配送標的物。利 類之選擇來決定對那一個配送對象實 述,琴)配Ϊ :: 2配送處理裝置的特徵為’針對對應於前 對ί豆相=於‘ f體之珂述配送標的物之經營實績資訊, = :述各選擇配送對象之前述配送標的物之經 呂貝、、、貝負口TL之^比例,吝斗祖々哪上 ^ M ^ ^ ^ 產生對各選擇配送對象配送多少配送 資料:利用此方式,可以依據只以選擇 之配送量:、之經營貫績資訊的比例,決定配送標的物 述各(】°丄二發:象之配= 可#斟# π、、,f 达特疋置之前述配送標的物以外,尚 對象敫^夕ί後之剩餘配送標的物,對應於前述選擇配送 别述配送標的物之經營實績資Μ,依據對應於 ^ 配送對象之前述配送標的物之經營實績資訊之 歹1 ,生應對各選擇配送對象配送多少量之前述配送資Page 8 200400449 V. Explanation of the invention (4) Using the "$ method" even if the delivery of the subject matter is time-consuming or less, it is not possible to use the compound with 俨, 、, 贝, Beibei, there is no performance information, so you can For each s; elephant; the operation of the group to which it belongs is intended to be distributed to a plurality of stores: delivery of the subject matter. Examples. Each store of Beibei can achieve the best delivery of merchandise. (: The feature of the delivery processing device is that the aforementioned distribution = incoming material represents the number of delivery objects that are selected by the delivery object for the decision of the delivery object. The choice of the category determines the actual description of the distribution object, Qin) distribution: :: 2 The characteristics of the distribution processing device is' for the business performance information of the distribution target object corresponding to the previous pair of beans. , =: The ^ ratio of the above-mentioned delivery target of each selected delivery object is described by Lu Bei,, and Bei TL, and where the ancestors are ^ M ^ ^ ^ Generates how much delivery data is delivered to each selected delivery object: Using this method, you can determine the distribution target according to the ratio of the selected operating volume :, and the operating performance information. () ° Second round: 象 之 配 = 可 # lock # π ,,, f Dart In addition to the above-mentioned delivery target, the remaining delivery targets after the ^^^ are corresponding to the operating performance information M of the aforementioned selected delivery delivery target, based on the above-mentioned delivery targets corresponding to ^ delivery target. Operating performance information歹 1, how much of the aforementioned distribution resources should be distributed by each selected distribution object
200400449 五、發明說明(5) 料。 利用此方式,即使配送 送對象至少都會配送特定旦 乂夕、,因各選擇配 象完全未配送之事態。’里,故不會出現某一選擇配送對 前述(:類):設發定明二送Λ?置的特徵為,產生以針對 物之配送的前述配送資二或配送比率而執行何種配送標的 配送利m乍:一分類之各配送對象實施均等 可反映操作者之意識各分類任意設定配送量等,故 西姆12从)/發明之配送處理裝置的特徵為,可依據對應 及ί;也所:ί ϊ組之前述配送標的物之經營實績資訊、 屬π組構成物種類數計算所得之群組構成物 斜,,=t力,應配送多少配送標的物之前述配送資 對二::在考慮群組構成物之經營能力下,對各配送 對象供應攻佳配送標的物。 (13)本發明之配送處理裝置的特徵為,依據從對應 t則述配送標的物之經營實績資訊計算所得之營業預測 ’產生應配送多少配送標的物之前述配送資料。利用此 =式,因如可提高各配送對象之銷售效率,結果,可實現 可促進營業成長之配送。 古α4)本發明之配送處理裝置的特徵為,依據考慮週 ^數之前述營業預測值,產生應配送多少配送標的物之 剛述配送資料。利用此方式,可優先對週末營業比率較高 Μ 第10頁 200400449 五、發明說明(6) ' 之店舖實施集中配送。 (1 5 )本發明之配送處理裝置的特徵為,前述經營實 績資訊係至少含有營業資訊。 · (1 6 )本發明之配送處理裝置的特徵為,前述經營實 績資訊係至少含有從營業資訊及庫存資訊計算所得之運_轉 率。利用此方式,例如想對複數店舖配送欲在各店舖銷隹 之商品時,可依據以各店舖之該商品的營業實績、及庫^ 實績決定之分類,決定如何配送該商品。 (1 7 ) 本發明之配送處理方法的特徵為,使用電腦接 收各配送對象之標的物之經營實績資訊,依據對應執行全 新配送之配送標的物之經營實績資訊,評估各配送預定^ 象’接收執行全新配送之配送標的物之總量,使用針對各^ 配送預定對象決定之評估,產生對前述各配送預定對象& 何配送該配送標的物之配送資料。因此,因係使用以各配 送對象之經營實績資訊為基礎之評估來決定配送方法,可 提高今後之配送標的物之經營效率。例如,欲對複數店舖 配送商品時,因係利用以各店舖之該商品營業實績為義 的評估,可提高店舖整體之該商品的銷售效率,結果,。 促進營業成長。 可 又’本發明之配送處理裝置」’在下述實施形態 係相當於配送處理電腦1 0。「配送執行裝置」在下述每於 形態中,係相當於物流中心電腦40。 「配送對象終端^ & 置」在下述實施形態中,係相當於店舖電腦5 〇、5 2、5 4 「配送標的物」係欲對配送對象配送之物品,/ 、°、200400449 V. Description of the invention (5). With this method, even if the delivery object is at least a certain day, the selected images are not delivered at all. "Therefore, there will not be a certain choice of delivery to the aforementioned (: category): set the characteristics of the two-delivery Λ? Set is the type of distribution that will be performed with the aforementioned delivery cost or delivery ratio for the delivery of goods Target distribution benefits: the implementation of each distribution object in a category can reflect the operator's consciousness, and the distribution volume can be set arbitrarily. Therefore, the characteristics of the distribution processing device of Sim 12) / invention are as follows: Also: ί The business performance information of the aforesaid distribution target of the ϊ group, the group composition oblique calculated by the number of types of the π group composition, = t force, how much of the distribution target of the distribution target should be distributed as described above: : Taking into account the operating capabilities of the group constituents, supply the best distribution target to each distribution target. (13) The distribution processing device of the present invention is characterized in that it generates the aforementioned distribution data of how many distribution targets should be distributed based on a business forecast ′ calculated from the business performance information of the distribution target corresponding to t. By using this formula, the sales efficiency of each delivery object can be improved, and as a result, delivery that can promote business growth can be realized. Ancient α4) The distribution processing device of the present invention is characterized in that the distribution information just described is generated based on the aforementioned business forecast value considering the week number. Using this method, it is possible to give priority to the implementation of centralized distribution for stores with higher weekend operating ratios. Page 10 200400449 V. Invention Description (6) '. (1 5) The distribution processing apparatus of the present invention is characterized in that the aforementioned business performance information includes at least business information. (1 6) The distribution processing device of the present invention is characterized in that the aforementioned business performance information includes at least the transportation rate calculated from the business information and inventory information. With this method, for example, when you want to distribute a product to multiple stores for sale, you can decide how to distribute the product based on the classification of the business performance of each product and the library ^ performance. (1 7) The distribution processing method of the present invention is characterized in that it uses a computer to receive the business performance information of the target object of each delivery object, and evaluates each delivery schedule based on the business performance information of the target object corresponding to the new distribution. The total amount of the delivery target for the new delivery is evaluated using the evaluation determined for each of the ^ delivery reservation objects to generate delivery data for each of the aforementioned delivery reservation objects & how to deliver the delivery target. Therefore, the use of evaluation based on the business performance information of each delivery target to determine the delivery method can improve the operating efficiency of future delivery targets. For example, when you want to distribute products to multiple stores, you can use the evaluation based on the sales performance of the products in each store to improve the sales efficiency of the products in the entire store. Promote business growth. The "delivery processing apparatus of the present invention" may be equivalent to a delivery processing computer 10 in the following embodiment. The "delivery execution device" corresponds to the distribution center computer 40 in each of the following forms. "Delivery target terminal ^ & set" In the following embodiment, it is equivalent to the store computer 5 0, 5 2, 5 4 "delivery target" is the item to be delivered to the delivery target, /, °,
200400449 五、發明說明(7) 實施形態中’係相當於本部想對各店舖配送之⑽ 其,念上:亦含欲利用_電性通信目線對配送又, 施傳迗之貧料等在内。「配送標的物所屬之群組:實 配送標的物之特性等實施群組化之物,在下述實據 中,相當於本部欲對各店舖配送之SKU所屬的商品形您 組。此「商品屬性群組」係商品特性之群組化^者。群 施形態中,相當於以品目(例如,夾克、套頭毛 J實 寸實施群組化者。X,除了品目及尺寸以外,亦相專 J次品目(例如’編織、織品、平針織物等)實施群:化』 「經營實績資訊」係配送對象之經營的 當於下述實施形態中之銷售金額或鎖售個t、:κυ貝運孔’相 率。例如,配送對象為工廠時(配送以生產為 等時等y,亦相當於生產量等…其概念上,:未= 為過去之物,亦包含將來之物(例如,營業預 定量等)。 「配J對象」、「配送預定對象,係配送標的物被配 迗之^,在下述貫施形態中相當於各店舖。又,工廠或營 業所等亦包含在内,若配送標的物為資料時,其概念上, 亦包含電腦或購物中心内之店舖在内。「選擇^送^象」 係指從可配送之配送對象當中選取之配送對象者。下述^ 施形態中,係以對配送預定對象決定之分韻來選取之配^ 對象,相當於由操作者選取之等級為S、A的店舖。又,選 取全部之等級(S〜C)時,則相當於全部之店舖。 、200400449 V. Description of the invention (7) In the implementation form, 'is equivalent to this department wants to distribute to each store. It reads: It also includes the desire to use _ electrical communication lines to distribute, and Shi Chuanxi ’s poor materials, etc. . "The group to which the delivery target belongs: the properties of the actual delivery target are grouped. In the following evidence, it corresponds to the product form of the SKU that this department intends to deliver to each store. This" product attribute group "Group" is a grouping of product characteristics. In the group application form, it is equivalent to grouping by item (for example, jackets, pullovers, J-inches, etc.). X, in addition to the item and size, is also a J-item (such as' knit, fabric, jersey, etc.) Implementation group: "Information on operating performance" refers to the sales amount or lock-up sales t, of the distribution target's operations in the following implementation modes: κυ 贝 运 孔 'phase ratio. For example, when the distribution target is a factory (distribution Taking production as isochronous and equivalent y, it is also equivalent to production volume, etc ... Conceptually, not = is a thing of the past, and also includes a thing of the future (for example, the scheduled sales amount, etc.) "Target J", "delivery plan" The object is the distribution of the distribution target, which is equivalent to each store in the following implementation forms. Also, factories and sales offices are included. If the distribution target is data, the concept also includes a computer. Or stores in shopping malls. "Choose ^ delivery ^ image" refers to those who are selected from among the delivery objects that can be delivered. In the following ^ implementation modes, it is selected based on the rhyme determined by the delivery reservation object. Match ^ object, phase When the operator to select the level of the store S, A's. Moreover, taking all the selected level (S~C), corresponding to all of the stores.,
第12頁Page 12
200400449 五、發明說明(8) 剩餘配送標的物」係對各選擇配送對象配送特定量 後剩餘之配送標的物,在下述實施形態之i : 1〇〇配送方法 中,相§於對等級S、A之各店舖各配送丨個後之配送標的 物(SKU)。 「群組構成物」相當於商品屬性群組所屬之SKlJ、或 銷售特定量以上之SKU(運轉SKU)。 「群組構成物之經營能力」係從群組之經營實績資訊 及群組構成物之種類數計算所得者,下述實施形態中相 於銷售2數/SKU數、或銷售個數/運轉SKU數。 概心上,「營業預測值」不但包括商品等之營業預 測’亦包括電力使用量等之需要預測。 、「、=送標的物所屬之群組整體之過去經營實績資訊」 在下述只施形態中,相當於欲配送之SK 群組的銷售金額等。 胃1 *本::接收執行全新配送之配送標的物之總量」 f u 4 1 β Β者成其他電腦等取得該總量時,亦包含 取侍以计异§亥總置為目的之資訊時。 「對各配送預定斛金、4 , 對象之經營"資訊之評估」係、依據纟配送預定 店舖之設定等級s〜°c、二:,下述實施形態中,相當於 式⑺)、或針對各店舖=各店舖計算所得之參考值(數 「銷售個數/運轉SKU::1所得之「銷售個數爛數」、 CD-ROM、硬碟、程$之記錄媒體」係包含軟碟、 %、卡、ROM、打孔卡片、磁帶等。又,200400449 V. Description of the invention (8) Residual delivery subject matter "refers to the remaining delivery subject matter after each selected delivery subject has delivered a specific amount. In the following embodiment i: 100 delivery method, it corresponds to § S, Each store in A distributes the next SKU. The "group structure" is equivalent to the SKlJ to which the product attribute group belongs, or the SKU (operational SKU) that sells a certain amount or more. The "capacity of group constituents" is calculated from the group's business performance information and the number of types of group constituents. In the following embodiment, it is equivalent to 2 sales / SKU or sales / operation SKU. number. In general, the "business forecast value" includes not only the business forecast of commodities, etc., but also the demand forecast of power consumption and the like. , ", = The past business performance information of the entire group to which the object to be sent belongs" In the following only application form, it corresponds to the sales amount of the SK group to be delivered. Stomach 1 * This :: The total amount of objects to be delivered for the new delivery "fu 4 1 β Β When the total amount is obtained by other computers, etc., it also includes the information for the purpose of calculating the difference . "Evaluation of each delivery plan", "Evaluation of management " information" is based on the setting level s ~ ° c of the store where the delivery is scheduled, 二 ~ 2, (in the following embodiment, it is equivalent to formula ⑺), or For each store = the reference value calculated for each store (the number of "sales number / operating SKU :: 1" rotten number of sales ", CD-ROM, hard disk, recording media of $" includes floppy disks ,%, Card, ROM, punch card, tape, etc. Also,
200400449 五、發明說明(9) 概念上’並未限定為記錄著可以電腦直接執行之程式的記 錄$某體而已’亦包含記錄著只要安裝至其他記錄媒體(硬 碟等)即可執行之程式的記錄媒體、或記錄著經過加密或 經過壓縮之程式的記錄媒體。概念上,「程式」並未限定 為可以CPU直接執行之程式而已,亦包括原始形式之程 式、經過壓縮處理之程式、及經過加密之程式等。 四、【實施方式】 1、系統之構成、處理之概要 第1圖為本發明之一實施形態,係將同一品牌之服裝 商品配送至複數店舖時之配送處理系統的構成。配送處理 電腦1 0及集計處理電腦2 0係設置於負責商品之配送的本 部’資料庫伺服器30具有儲存店舖主要資料及商品主要資 料之貧料庫(店舖DB32、商品DB34)、以及各店舖之營業資 料及庫存資料等之交易資料庫叩36。物流中心電腦4〇設置 於負責商品之進出貨及保管的物流中心。店舖電腦5〇、 5 2、5 4則設置於負責銷售本部所配送之商品的複數各店 舖。各電腦係經由網際網路等進行通信。以下,說明此系 統之處理概要。 首先’配送處理電腦1〇會利用交易資料庫DB36,附與 欲配送商品之相關各店舖的等級(「賦予店舖等級處理」) (第2圖步驟S 1 0 )。此賦予等級之執行上,係依據各店舖之 該商品所屬商品屬性群組的營業實績,各店舖會被分成等 級S、A、B、C。例如,商品「夾克(品號A、尺寸A、顏色 A)」時,商品屬性群組為「夾克、尺寸a」。200400449 V. Description of the invention (9) Conceptually 'is not limited to a record of a program that can be directly executed by a computer, such as $ some body', but also includes a program that can be executed by simply installing to other recording media (hard disks, etc.) Recording media, or recording media with encrypted or compressed programs. Conceptually, "programs" are not limited to programs that can be directly executed by the CPU, but also include programs in the original form, programs that have been compressed, and programs that are encrypted. IV. [Implementation] 1. Outline of system configuration and processing Figure 1 shows an embodiment of the present invention, which is a configuration of a distribution processing system when clothing products of the same brand are distributed to multiple stores. The distribution processing computer 10 and the aggregate processing computer 2 0 are installed in the 'database server 30' of the headquarters responsible for the distribution of the products. The database server 30 has a poor data base (store DB32, product DB34) that stores the main data of the store and the main data of the product, and each store. Transaction database of business information, inventory information, etc. 36. The logistics center computer 40 is located in a logistics center responsible for the import, export, and storage of goods. The store computers 50, 5, 2, and 5 are located in a plurality of stores that are responsible for selling the products distributed by the headquarters. Each computer communicates via the Internet or the like. The processing outline of this system is described below. First, the 'distribution processing computer 10' uses the transaction database DB36 and attaches the rank of each store related to the product to be delivered ("the store's rank processing") (step S 1 0 in FIG. 2). The implementation of this rating is based on the business performance of the product attribute group to which the product belongs in each store, and each store will be divided into levels S, A, B, and C. For example, for a product "jacket (item A, size A, color A)", the product attribute group is "jacket, size a".
第14頁 200400449Page 14 200400449
又,在以下之說明中,將以品號、尺寸、及顏色進行 限定之商品稱為SKU,此SKU及商品屬性群組之關係如第/ 圖所示。此商品屬性群組係依商品之種類、品目、及尺寸 實施群組化者。此品目則係如夾克、套頭毛衣、羊毛Y、 等。 办 其次,由配送處理電腦10依據各店舖之等級決定配送 對象SKU應配送至那一個店舖、及應配送多少數量/首产= 送時之配送模擬)(第2圖步驟S12)。 X _ 依據此配送模擬之結果’對各店舖執行別u之配送(第 2圖步驟S14),各店舖則執行被配送之SKU的銷售(第2圖步 驟S16)。同時,店舖電腦50等會記錄營業資料。又,^ 處理電腦20會從店舖電腦50等接收營業資料等、以及從^ 流中心電腦40接收進出貨資料等,並將其儲存於資料庫伺 服器30之交易資料庫DB36(資料集計處理)(第2圖步驟 S18)。 · 又,當物流中心有特定量之SKU的進貨時,本部之配 送處理電腦1 0會依據該s K U所屬之商品屬性群組的營業實 績執行處理’決定該SKU應追加配送至那一個店舖、或應 追加配送多少數量(追加配送時之配送模擬)(第2圖步驟 S2(〇。依據此配送模擬之結果,對各店舖執行SKU之追加 配送,各店舖則執行追加配送之SKU的銷售(第2圖步驟 S22、S24、S26) 〇 又,首度配送時之配送模擬的配送處理方法有(丨)通In the following description, a product limited by product number, size, and color is referred to as a SKU. The relationship between the SKU and the product attribute group is shown in Fig. /. This product attribute group is grouped according to the type, item, and size of the product. This item is such as jackets, pullovers, wool Y, etc. Next, the distribution processing computer 10 decides which store the target SKU should be delivered to, and the quantity to be delivered / first production = delivery simulation at the time of delivery according to the level of each store (step S12 in FIG. 2). X _ According to the result of this delivery simulation ', each store performs a separate delivery (step S14 in FIG. 2), and each store executes sales of the delivered SKU (step S16 in FIG. 2). At the same time, the store computer 50 etc. records business information. In addition, the ^ processing computer 20 receives business data and the like from the store computer 50 and the like, and receives incoming and outgoing data and the like from the ^ distribution center computer 40, and stores them in the transaction database DB36 of the database server 30 (data collection and processing) (Fig. 2 step S18). · When the logistics center has a certain amount of SKUs, the distribution processing computer 10 in this department will execute the processing based on the business performance of the product attribute group to which the sKU belongs. Or how much quantity should be added (delivery simulation at the time of additional delivery) (step S2 (Figure 2). Based on the result of this delivery simulation, additional delivery of SKUs will be performed for each store, and each store will perform sales of additional SKUs ( Steps S22, S24, and S26 in FIG. 2) 〇 Also, the delivery processing method of the delivery simulation at the time of the first delivery is (丨)
第15頁 200400449 五、發明說明(11) 常配送、(2 ) 1 : 1 0 0配送、及(3 )商品等級配送。又,追加 配送時之配送模擬的配送處理方法有(4 )營業預測配送、 及(5 )銷售個數構成比配送。 2、各電腦之硬體構成 第4圖A係配送處理電腦1 〇之硬體構成。此配送處理電 腦1 〇具有CPU1 02、硬碟1 04、顯示器1 06、通信部1 08、記 ‘ 憶體110、鍵盤/滑鼠112、CD-ROM驅動器114、軟碟驅動器 . 11 6 等。 口口· 通信部1 0 8之目的,在和資料庫伺服器3 〇及物流中心 電腦4 0等進行通信。硬碟1 〇 4則記錄著以執行赋予店舖等 修 級處理及配送模擬為目的之配送處理程式、以及作業系統 (os)等。配送處理程式可經*CD-R0M驅動器丨14從 CD-R0M1 18等進行安裝者、或經由通信回線執行下載者。 ^ 第4圖B係資料庫伺服器30之硬體構成。此資料庫伺服 器30具有CPU302 '硬碟3 04、通信部30 6、記憶體3 0 8、 CD-ROM驅動器310、及軟碟驅動器312等。硬碟3〇4記錄著 上述店舖DB32、商品DB34、及交易資料庫DB36等。第5圖A 所示之商品DB34,記錄著針對各SKU之品牌、品號、店頭 標準銷售價格之標價、銷售年度、季等。第5圖B所示之交 易資料庫DB36則記錄著針對各店舖之SKU的該週銷售金額 _ 累計(星期一開始之銷售金額累計)、該週銷售個數累計、、 進貨個數、及庫存個數等。 集計處理電腦20之硬體構成上,基本上和第4圖a所示· 之配送處理電腦10相同。<旦’硬碟會記錄著以從店舖電腦Page 15 200400449 V. Description of the invention (11) regular delivery, (2) 1: 1 0 0 delivery, and (3) product level delivery. In addition, the delivery processing methods for the delivery simulation at the time of additional delivery include (4) business forecast delivery and (5) sales number composition ratio delivery. 2. Hardware configuration of each computer Figure 4A shows the hardware configuration of the distribution processing computer 10. This distribution processing computer 10 has a CPU 10 02, a hard disk 1 04, a display 1 06, a communication department 10 08, a memory 109, a keyboard / mouse 112, a CD-ROM drive 114, a floppy disk drive 11 6 and the like. The purpose of the mouth and communication department 108 is to communicate with the database server 300 and the logistics center computer 40. The hard disk 104 stores a distribution processing program for performing a repair process and a distribution simulation for a store and the like, and an operating system (OS). The distribution processing program can be installed by the CD-R0M driver, 14 from CD-R0M1 18, etc., or downloaded by the communication line. ^ Figure 4B shows the hardware configuration of the database server 30. The database server 30 includes a CPU 302 ', a hard disk 3 04, a communication section 30 6, a memory 308, a CD-ROM drive 310, and a floppy disk drive 312. The hard disk 300 stores the above-mentioned store DB32, product DB34, and transaction database DB36. The product DB34 shown in FIG. 5A records the price, sales year, season, etc. of each SKU's brand, product number, and store standard sales price. The transaction database DB36 shown in FIG. 5B records the sales amount of the week for the SKUs of each store_accumulation (accumulation of sales amount starting on Monday), the accumulation of sales for the week, the number of purchases, and the inventory Number and so on. The hardware configuration of the aggregate processing computer 20 is basically the same as the distribution processing computer 10 shown in FIG. 4a. < Dan ’hard drive will record
第16頁 200400449 五、發明說明(12) 50等接收營業資料並將並 料廑DRW兔曰沾 ,、σ己錄於負料庫伺服器30之交易資 枓庫DB36為目的之集計處理程式。勿貝 3、配送處理電腦1 〇之處理 =下,分成首度配送時(3.1)及追加配送時( 對配达處理電腦1 〇之處理進行說明。 . ' 3 · 1首度配送時 針對首度配送時之配送處理電腦j 〇的⑴賦予店舖等 、,及處理、(2 )配送模擬進行說明。 (1)賦予店舖等級處理 第6圖係賦予店舖等級處理之流程圖。cpui〇2合 定期間輸入畫面(圖上未標示)顯示於顯示器1〇6上:: 操作者設定「設定期間、品牌、銷售年度、季 驟S50)。此設定期間係從交易資料庫DB36取得之銷售^ ^ 的期間。 當操作者輸入設定期間為「2〇〇〇年第37週〜第4〇週」 等時,CPU1 02會從資料庫伺服器30取得各店舖之商品屬^生 群組別營業資料等之店舖主要資料及商,品主要資料,並儲 存於硬碟1 04 (第6圖步驟S51、S52)。其次,將商品屬性群 組設定畫面(圖上未標示)顯示於顯示器丨〇 6,要求操作者 設定「品目、尺寸」(第6圖步驟S53)。此處,操作者將其 設定為「品目(夾克)、尺寸(Α)」(第6圖步驟S54)。 CPU 102會從第6圖步驟S 52取得之資料,針對設定之商 品屬性群組(夾克、尺寸A)析出各店铺之該設定期間的銷 售金額等(第6圖步驟S55 )。其次,計算各店舖之設定期間, 1Page 16 200400449 V. Description of the invention (12) 50, etc. Receives business data and combines data with DRW Rabbit, and σ has been recorded in the negative database server 30. The transaction data library DB36 is an aggregate processing program for the purpose. Bebe 3, the processing of the distribution processing computer 10 is divided into the first distribution (3.1) and the additional distribution (the processing of the distribution processing computer 1 〇 will be explained. '3 · 1 for the first distribution The distribution processing computer j 〇 at the time of delivery is assigned to the store, etc., and processing, and (2) distribution simulation will be described. (1) Store level processing Figure 6 is a flowchart of store level processing. Cpui〇2 合The fixed period input screen (not shown in the figure) is displayed on the display 106 :: The operator sets "set period, brand, sales year, quarter step S50). This set period is the sales obtained from the transaction database DB36 ^ ^ When the operator enters a setting period of "the 37th week to the 40th week of 2000," etc., the CPU 102 obtains the business data of the product belonging to each group from the database server 30. The main data of the shop and the main data of the shop are stored in the hard disk 1 04 (steps S51 and S52 in FIG. 6). Next, the product attribute group setting screen (not shown in the figure) is displayed on the display, and the operator is requested to set "item and size" (step S53 in FIG. 6). Here, the operator sets it to "item (jacket), size (Α)" (step S54 in FIG. 6). The CPU 102 analyzes the data obtained in step S52 in FIG. 6 for the set product attribute group (jacket, size A), and analyzes the sales amount of each store during the set period (step S55 in FIG. 6). Next, calculate the setting period of each store, 1
1 m1 m
I ί々·Ι 第17頁 200400449 五、發明說明(13) 的鎖售金額合計(以下’稱為期間鎖售金額)、以數式(1 ) 表示之SKU運轉率、以及以數式(2 )表示之營業運轉倍率, 並將其顯示於第7圖所示之店舖等級設定畫面的實績資料 欄(第6圖步驟S55、S56)。 sku運轉率=定價銷售之SKU數/店舖庫存之SKIJ數···〇) 營業運轉倍率=期間銷售金額(或期間銷售個數)X SKu 運轉率…(2) 又’上式中之定價銷售之SKU數(運轉SKlJ數)係該店舖 之定價銷售SKU的種類數,店舖庫存之SKU數係該店舖之庫 fSKU的種類數。亦即,SKU運轉率係表示該店舖之銷售能 力的指標。 _ π ΐ作者可在屬性設定攔51 〇中選取期間屬性及營業運 ^ ί ί ^ M ^ τ ^ ϋ ^ # Γ fa1 „ t ^ ^ ^ Γ ^ 章運:位±」可決疋在賦予店舖等級時考慮那一項。營 :運轉倍率之下拉選單為「有 賦予店舖等級時^考慮SKU運轉率。」了決疋在 選取=業屬性r期間銷售金額」、 6圖步驟S58)。咖102會依據^間销售點取分第 之職予(第6圖步驟S6〇、*日月昏生㈣仃店舖專級 銷售金額決定各店舖之順付亦/,依據各店舖之期間 示於第7圖所示之店铺等級的ΐ::(舖第 200400449 五、發明說明(14) S66)、 又’後面會說明以「期間銷售値數」、「期間銷售金 額及SKU運轉率」、「期間銷售個數及SKU運轉率」執行店 舖等級之賦予時的情形。 (2 )配送模擬 丨 ,8圖係將首度配送時之配送處理電腦丨〇的配送模擬 之配送處理方法分成(a)通常配送'(b) 1 : 1 〇 〇配送、及 (c)商品等級配送來進行說明。又,首度配送時之配送方 法亦可應用後述之追加配送時之配送方法。 (a )通常配送 CP U1 0 2會將第9圖所示之配送模擬畫面顯示於顯示器 106上’,求操作者輸入配送對象之SKU(第8圖步驟 sioo)。操作者在SKU輸入攔6〇〇輸入欲配送之sku。又,此 SKU所屬之商品屬性群組為以上述方法設定之「夾克、尺 寸A」。 CPl^102會從交易資料庫DB36、商品DB34取得該SKU所 雜ί商品f性群組(夾克、尺寸A)的營業資料(設定期間之 去個數等)、店舖等級、該SKU可配送之總量(總配送個 數锋詳細資訊、對應該SKU之品目「JK(夾克)」並顯 =丢圖步驟S1 02、S104).。SKU詳細資訊係簡圖標示、 管數dV f頭標準銷售價格之「標價」、物流中心之保 Λ )、從§丁購數當中扣除物流中心之進貨數後的數旦 β籌餘額)專(參照簡圖標示攔6 1 〇、SKU詳細資訊攔I ί々 · Ι Page 17 200400449 V. The total amount of the lock-up amount (hereinafter referred to as the period lock-up amount) of the invention description (13), the SKU operating rate expressed by the formula (1), and the formula (2) ) And display it in the actual data column of the store level setting screen shown in FIG. 7 (steps S55 and S56 in FIG. 6). sku operating rate = number of SKUs for pricing sales / number of SKIJs for store inventory ... Operating occupancy ratio = period sales amount (or number of sales during period) X SKu operation rate ... (2) Also the pricing sales in the above formula The number of SKUs (the number of operating SKlJs) is the number of types of SKUs for which the store is priced, and the number of SKUs in store inventory is the number of types of fSKU in the store's library. That is, the SKU operating rate is an index indicating the sales ability of the store. _ π ΐThe author can select the period attributes and business operations in the attribute setting block 51 〇 ί ί ^ M ^ τ ^ ϋ ^ # Γ fa1 „t ^ ^ ^ Γ ^ Zhang Yun: bit ±" can be determined in the store level Consider that one. Operation: The drop-down menu of the operation magnification is "When the store level is assigned ^ consider the SKU operation rate." It is determined by selecting = business attribute r sales amount, step S58 in Figure 6). Coffee 102 will take the position according to the points of sale (step S60 in Figure 6), and the special sales amount of the store will determine the payment of each store, according to the period of each store. The store-level 所示 shown in Figure 7: (Shop No. 200400449 V. Invention Description (14) S66), and 'The following will explain the "period sales volume", "period sales amount and SKU operating rate", " "Number of sales during the period and SKU operation rate" when the store level is assigned. (2) Delivery simulation 丨, Figure 8 divides the delivery processing method of the delivery simulation of the delivery processing computer at the time of the first delivery into (a) (B) 1: 100 delivery and (c) product-level delivery. The delivery method at the time of the first delivery can also be applied to the delivery method at the time of additional delivery described later. (A) Normal delivery CP U1 0 2 will display the delivery simulation screen shown in Fig. 9 on the display 106 ', and ask the operator to input the SKU of the delivery object (step 8 in Fig. 8). The operator enters the SKU input block 600 and enters the delivery. Sku. The product attribute group to which this SKU belongs is above "Jacket, size A" set by the method. CPl ^ 102 will obtain the business data of the f sex group (jacket, size A) in the SKU from the transaction database DB36 and product DB34 (number of items during the setting period, etc.) ), Store level, the total amount that can be delivered by the SKU (detailed information about the total number of deliveries, the item "JK (Jacket)" corresponding to the SKU, and displayed = lost picture steps S102, S104). SKU detailed information is simplified The figure indicates, the "selling price" of the standard sales price of the dV f head, the guarantee of the logistics center, and the balance of the number of β-chips after deducting the number of purchases from the logistics center from the number of purchases. 6 1 〇, SKU details block
第19頁 200400449 五、發明說明(15) ------ 總配送個數為「PKC30H訂購餘額(6〇)=⑽」。對應該 SKU之品目「JK(夾克)」會顯示於品目欄63〇。 操作者設定總配送個數、配送對象店舖、或配送處理 方绛(第8圖步驟S106)。操作者可點取配送個數變更按鈕 640,在總配送個數設定攔6 5〇輸入數值,用以設定總配送 ,數。配送對象店舖則可以利用店舖選擇攔66〇之下拉選 ,,從「只有S店舖、S · A店舖、S · Α · β店舖、全店舖配 送」&中選取。配送處理方法則可利用點取丄:i 〇 〇配送指 ,按鈕670或商品等級按鈕6 80,來變更! : 1〇〇配送或商品 等級配送。此處,操作者未變更總配送個數「9 0個」,只 設定配送對象店舖「S · A店舖」。 選取配送對象店舖「S · A店舖」後,CPU1 0 2會進入第 1 0圖所示之通常配送處理的執行(第8圖步驟sl〇 8、 S110) 又’右未點取1 .100配送指令按鈕670、或商品等 級按钮680,則會判斷為通常配送。cpui 〇2會針對等級s · A之店舖整體的商品屬性群組「夾克、尺寸A」之期間銷售 金額’計算等級S · A之各店舖之該商品屬性群組的期間銷 售金額之比例(期間銷售金額之構成比第丨〇圖步驟 S 2 0 0 )。會對應此期間銷售金額之構成比執行總配送個數 「9 0個」之配送,決定對各店舖之配送個數,並將其顯示 於第9圖所示之各店舖的配送數攔(第丨〇圖步驟s 2 〇 2、 S2 04 ) °亦即,對某店舖之配送個數為將數式(3)之計算值 a進位成整數之數值。 總配送個數X該店舖之期間銷售金額之構成比=算出Page 19 200400449 V. Description of the invention (15) ------ The total number of deliveries is "PKC30H order balance (60) = ⑽". The item "JK (Jacket)" corresponding to SKU will be displayed in the item column 63. The operator sets the total number of deliveries, the store to be delivered, or the delivery process (step S106 in FIG. 8). The operator can click the delivery number change button 640, and enter a value in the total delivery number setting block 650 to set the total delivery number. The distribution target store can use the store selection bar 66 to select from "Only S Store, S · A Store, S · Α · β Store, All Store Delivery" &. The delivery processing method can be changed by clicking 丄: i 〇 〇 delivery finger, button 670 or product level button 6 80 to change! : 100% delivery or item-level delivery. Here, the operator did not change the total number of delivery items "90", and set only the delivery target store "S · A store". After selecting the delivery target store "S · A Store", the CPU 102 will enter the execution of the normal delivery process shown in Fig. 10 (steps 108 and S110 in Fig. 8), and the 1.100 delivery will not be clicked. The command button 670 or the product-level button 680 is judged as normal delivery. cpui 〇2 calculates the ratio of the period of sales amount of the product attribute group of each store in level S · A (period of period) The composition ratio of the sales amount is shown in step S 2 0 0). In accordance with the composition ratio of the sales amount during this period, the distribution of the total number of distributions "90" will be performed, the number of distributions to each store will be determined, and it will be displayed in the number of distributions of each store shown in Figure 9 (section丨 〇 FIG. Step s 2 02, S 2 04) ° That is, the number of deliveries to a certain store is a value in which the calculated value a of the formula (3) is rounded to an integer. The total number of deliveries X the ratio of the sales amount of the store during the period = calculated
第20頁 200400449 五、發明說明(16) 值a…(3 ) 、又,各店舖之期間銷售金額之構成比並非針對全部店 舖(等級S〜C)之整體,而是只針對配 A)之期間銷售金額來計算。又,她π 了豕占謂〔寺、、及S =μ # # $料々二 又,總配送個數設定攔650之 下攔數值為對各店舖配送之個數的合計值。 如上面所述,可決定對各店舖:配送個數。又,上述 i:f!中:提Γ之總配送個數及配送個數之合計不同時, 會採用配送個f之合計。然而,亦可利用關02之計算處 理,以配运個數之合計等於總配送個 店舖之配送個數(以下之實例中亦同)。 卞各 (b) 1 : 1 0 0 配送 巧圖係、第8圖步驟S112d :1〇〇配送處理的流程 =。在總^個數為「9G個」及配送對象店舖為「s .人店 、」之狀L下Ιέ取1 . 1 〇 〇配送指令按紐67〇時,cpu 1 〇2备 進入第11圖所示之1 :1QQ配译声田 曰 浦、S1〇8、S111、S112)达處理之執行(第8圖步驟 t ί等級S · A之各店舖從上位等級開始分別配 m弟π圖步驟S3 0 0 )。判斷剩餘配送個數(總配送個數 -專、及S · A之店舖數)是否為〇(第u圖步驟S3〇2)。此實施 形態中,若剩餘配送個數不等於〇,針對等級s · A之店 =^ f商品f性群組「夾克、尺寸A」的期間銷售金額, ::對於等級s · A之各店舖之該商品屬性群組的期間銷 售金額之比例(期間銷售金額之構成比)(第丨丨圖步驟 S304 )。對應此期間銷售金額之構成比實施剩餘配送個數Page 20, 200,400,449 5. Description of the invention (16) The value a ... (3), and the ratio of the sales amount of each store during the period is not for the whole of all stores (levels S ~ C), but only for distribution A). Calculated during the sales amount. In addition, she ran the accounting account [Si ,, and S = μ # # $ 料 々 二 Moreover, the total delivery number setting block below 650 is the total value of the number delivered to each store. As described above, the number of deliveries to each store can be determined. Also, in the above i: f !: when the total number of distributions and the total number of distributions are different, the total number of distributions f will be used. However, you can also use the calculation processing of Guan 02, so that the total number of shipments is equal to the total number of distributions in the stores (the same is true in the following examples). Each (b) 1: 1 0 0 Delivery Qiaotu Department, Figure 8 Step S112d: 100 flow of delivery processing =. When the total number of items is "9G" and the delivery target store is "s. People's shop," I will take 1.1.1. When the delivery instruction button is 67, the CPU 1 will be shown in Figure 11. The 1: 1 QQQ translation shown in the figure shows the execution of the processing (S8, S111, S111, and S112) to achieve the processing (step 8 in Figure 8). Each store of level S · A is assigned a step from the higher level. S3 0 0). It is determined whether the number of remaining distributions (total number of distributions-the number of stores and the number of stores in S · A) is 0 (step S302 in Fig. U). In this embodiment, if the remaining number of deliveries is not equal to 0, the sales amount for the store of rank s · A = ^ f product f sex group "jacket, size A", :: for stores of rank s · A The ratio of the period sales amount of the product attribute group (the composition ratio of the period sales amount) (step S304 in FIG. 丨). Responding to the distribution ratio of the sales amount during this period
第21頁 200400449 五、發明說明(17) ------ =运,彳決定對各店舖之配送個數,並將其顯示於第9 圖所不之各店舖之配送數攔(第n圖步驟S3〇6、S3〇8)。 =,對某店舖之配送個數為將數式(4)之計算值]3進位 數之數值。 正 1 +剩餘配送個數X該店舖之期間銷售金額之構 算出值b…(4 ) (c)商品等級配送 第1 2圖係第8圖步驟S1丨4之商品等級配送處理的流程 圖。在總配送個數為「9 〇個」及配送對象店舖為「S · a店 舖」之狀態點取商品等級指令按鈕6 8 〇時,CPU 1 〇 2會進入 第12圖所示之商品等級配送處理之執行(第8圖步驟, S108 , S114) 〇 CPU1 0 2會顯示第1 3圖A所示之等級別配送數設定晝 面’要求操作者設定各等級之配送數(第12圖步驟S4〇〇)。 此處,操作者將等級S之配送數設定為「5」、將等級a之 配送數設定為「4」、將等級B之配送數設定為「〇」、將 等級C之配送數設定為r 〇」。 操作者點取合計值計算按鈕時(第12圖步驟S40 2 ), CPU 1 0 2會以數式(5 )計算依設定之等級別配送數實施各店 舖配送時之合計配送數,並顯示第1 3圖B所示之視窗(第丄2 圖步驟S404)。 合計配送個數=S之店舖數X 5 + A之店舖數X 4 + B之店舖數X 0 + C之店舖數X 〇···(5) 操作者點取配送執行指令「0Κ」時(第1 2圖步驟Page 21, 200400449 V. Description of the invention (17) ------ = Yun, I decided to deliver to each store, and display it in the number of delivery of each store (the nth) (Steps S306, S308). =, The number of deliveries to a certain store is the value calculated by the formula (4)] 3. Positive 1 + the number of remaining deliveries X The structure of the sales amount during the store Calculated value b ... (4) (c) Commodity level delivery Fig. 12 is a flow chart of the merchandise level delivery process in step S1 丨 4 of Fig. 8. When the total number of delivery items is "90" and the delivery target store is "S · a Store", the product level command button 6 800 is clicked, and the CPU 1 〇2 will enter the product level delivery shown in Figure 12 The execution of the process (step in Fig. 8, S108, S114). CPU1 0 2 will display the number of delivery levels of the same level as shown in Fig. 13A. The daytime surface will require the operator to set the number of deliveries at each level (step S4 in Fig. 12). 〇〇). Here, the operator sets the number of deliveries of level S to "5", the number of deliveries of level a to "4", the number of deliveries of level B to "0", and the number of deliveries of level C to r 〇 ". When the operator clicks the total value calculation button (step S40 2 in FIG. 12), the CPU 1 0 2 calculates the total number of deliveries in each store according to the set number of equal-level deliveries according to the formula (5), and displays the first 13 The window shown in Fig. B (Fig. 2 step S404). Total number of deliveries = number of stores in S X 5 + number of stores in A X 4 + number of stores in B X 0 + number of stores in X X 〇 ... (5) When the operator clicks the delivery execution instruction "0Κ" ( Figure 12 steps
第22頁 200400449 五、發明說明(18) S40 6 ),CPU102會依據設定之等級別配送數,將 之配送個數顯示於第9圖所示之各店^各1舖 =終利用此方式,可對同一等級之店舖=圖 此配送方法時,操作者可調整配送數,使配送個 合計和總配送個數一致(或近似)。又,亦可預先準備^ 級之配运個數的組合,並由CPU102選取配 一致之配送個數並提示。 歡最為 3 · 2 追加配送時 、,上述之首度配送時之配送模擬的結果(配送資料)會 送至,机中心電腦4 〇。物流中心會利用物流中心電腦切 出配运貝料,並以該輸出資料為基礎,執行以對各店舖 达SKU為目的之出貨業務。各店舖則實施物流中心配之 SKU的銷售。 〈 、、同時,集計處理電腦2 〇會從店舖電腦5 〇等接收營業次 料等,並將其儲存於資料庫伺服器3 〇之交易資料庫、貝 DB36(資料集計處理)。以下,將追加配遠時之配送處理 腦1〇的配送模擬分成(a)營業預測配送、及(b)銷售個數 成j之配送來進行說明。又,追加配送時之配送方法可 用前述之首度配送時之配送方法。 (a )營業預測配送 第1 4圖係追加配送時之配送模擬的流程圖。操作者 送對象之sku時(第14圖步驟S50 0、S5〇2),CPU1〇2會别 k又易資料庫DB36取得該SKU之特定期間的銷售個數,诉Page 22, 200400449 V. Description of the invention (18) S40 6), the CPU 102 will display the number of deliveries according to the set level of delivery, and display the number of deliveries at each store shown in Fig. 9 ^ Each shop = end use this method, you can For stores of the same level = picture this method of distribution, the operator can adjust the number of deliveries so that the total number of deliveries is consistent (or approximate) with the total number of deliveries. In addition, a combination of ^ -level delivery numbers can also be prepared in advance, and the CPU 102 selects a consistent delivery number and prompts. When Huanwei 3 · 2 adds additional delivery, the results of the delivery simulation (delivery data) during the first delivery mentioned above will be sent to the machine center computer 40. The logistics center will use the computer of the logistics center to cut out the distribution materials, and based on the output data, execute the shipping business for the purpose of achieving SKUs for each store. Each store implements the sales of SKUs provided by the logistics center. 〈、、 At the same time, the integrated processing computer 2 0 will receive business data from the store computer 5 0, etc., and store it in the transaction database, shell DB 36 (data collection processing) of the database server 3 0. In the following, the distribution processing in the case of additional distribution will be described by dividing the simulation of the distribution of the brain 10 into (a) business forecast distribution and (b) distribution number j sales. As the delivery method at the time of additional delivery, the aforementioned delivery method at the first delivery can be used. (a) Business forecast delivery Figure 14 is a flow chart of the delivery simulation during additional delivery. When the operator sends the target sku (steps S50 0 and S502 in FIG. 14), the CPU 102 will farewell and the database DB36 obtains the number of sales in the specific period of the SKU.
第23頁 200400449Page 23 200400449
五、發明說明(19) 值,並(將)/和^當週1業預^值計算數式⑺所示之參考 擬畫面的參考;同參照第15圖之配送模 數。此配送個數抵:1參考值進位成整數之配送個 此配送方顯:J數值係對各店舖之配送個數。 整體之配送個數了又二,$配廷個數的合計個數會等於 述方法計算所;之:店=總配f個數時,亦可對應以上 數分配給各店||。 西己迗個數的比率來將總配送個 數式(6) 當週營業預測值 MPrel X a + Pre2 χ b + Pre3 χ d}/(a+b+c+d) 1週前之週間銷售個數 2週前之週間銷售個數 3週前之週間銷售個數 4週前之週間銷售個數, 數式(7 ) 參考值=當週營業預測值/消化率_ (庫存數+運送數+者 週銷售個數) ^ 此處,消化率係將各店舖之該SKU的銷售個數推測累 計除以進貨數累計所得之比率。又,運送數係各店舖之該 SKU已訂購而尚未進貨之個數。 x 又’亦可在考慮δ又疋期間中之星期六及星期曰的營業V. Description of the invention The value of (19), and (will) / and ^ current week 1 pre-calculated calculation formula ⑺ The reference shown in the formula ⑺; the same as the distribution module with reference to Figure 15. The number of deliveries is offset by: 1 The number of deliveries rounded to an integer for the reference value. This delivery party shows that the J value is the number of deliveries to each store. The total number of deliveries is two, and the total number of $ matchings will be equal to the calculation method described above; where: shop = total number of distributions, it can also be allocated to each shop corresponding to the above number ||. The ratio of the number of West Capes to calculate the total number of deliveries (6) Sales forecast for the current week MPrel X a + Pre2 χ b + Pre3 χ d} / (a + b + c + d) Weekly sales 1 week ago Number of weekly sales 2 weeks ago Number of weekly sales 3 weeks ago Number of weekly sales 4 weeks ago, formula (7) Reference value = business forecast for the current week / digestion rate _ (stock number + shipping number) + Sales per week) ^ Here, the digestibility is the ratio of the estimated cumulative total of the SKU sales in each store divided by the cumulative purchases. The number of shipments is the number of SKUs in each store that have been ordered but not yet received. x Also ’is also open on Saturdays and Sundays during the period when δ is considered
Pr e 1 Pre2 Pr e 3 Pre4 aPr e 1 Pre2 Pr e 3 Pre4 a
Pr e4 χPr e4 χ
Pr el之力口權 P r e 2之力口權 P r e 3之力口權 P r e 4之力口權Power of Pr el Power of P r e 2 Power of power P r e 3 Power of power P r e 4 Power of power
第24頁 200400449Page 24 200400449
五、發明說明(20) 比率-週末指數(1週間之銷售個數當中,星期六及星期 之銷售個數所佔之比例)之情形下計算當週營業預測值 後’再計算參考值(參照數式(8))。利用此方式,可提古 週末營業比率較高之店舖的優先順序,而優先對該店1 it ym rb ^ ^ 乂 南貫 數式(8 ) 當週營業預測值 ={Prel X a + Pre2 x b + Pre3 x c + Pre4 χ d}/(a + b + c + d) x 週末指數V. Explanation of the invention (20) Ratio-weekend index (the proportion of sales in a week, the proportion of sales on Saturday and week), calculate the reference value after calculating the business forecast for the current week (reference number) (Eq. (8)). Using this method, you can give priority to the store with a higher business ratio on the weekend, and give priority to the store 1 it ym rb ^ ^ Nannan formula (8) Forecast of the week's business = {Prel X a + Pre2 xb + Pre3 xc + Pre4 χ d) / (a + b + c + d) x weekend index
Prel : 1週前之週間銷售個數 a :Prel之加權 Pre2 : 2週前之週間銷售個數 b : Pre2之加權 Pre3 ·· 3週前之週間銷售個數 c : Pre3之加權Prel: Number of weekly sales a week ago a: Weight of Prel Pre2: Number of weekly sales 2 weeks ago b: Weight of Pre2 Pre3 · Number of weekly sales 3 weeks ago c: Weight of Pre3
Pre4 : 4週前之週間銷售個數 d ·· pre4之加權 又,亦可由操作者自由設定Prel等之加權a〜d、及消 化率。 (b)銷售個數構成比之配送 第16圖係第14圖步驟S5 08之銷售個數構成比之配送處 理的流程圖。CPU1 02會針對首度配送時之已配送SKU之店 舖整體的該SKU,計算各店舖之該SKlJ含當週在内之5週間 的銷售個數合計之比例(各店舖之期間銷售個數構成 比)(第1 6圖步驟S6 0 0 )。對應此期間銷售個數之構成實 施追加配送個數之分配,決定對各店舖之配送之個構數成= 示於第1 5圖所示配送模擬晝面之各店舖的配送數欄(第i 6 圖步驟S60 2、S6 04 )。亦即,對某店铺之配送個數為將數Pre4: Number of sales in the week before 4 weeks d · · weight of pre4 Also, the operator can freely set weights a to d of Prel, etc., and the elimination rate. (b) Distribution of sales number composition ratio FIG. 16 is a flowchart of the distribution processing of the sales number composition ratio in step S508 of FIG. 14. CPU1 02 calculates the proportion of the total number of sales of the SKlJ in the five weeks including the current week for each SKU in the store that has already delivered the SKU at the time of the first delivery (the proportion of sales in each store during the period) ) (Figure 16 step S6 0 0). In accordance with the composition of the number of sales during this period, the number of additional distributions is implemented, and the number of distributions to each store is determined to be equal to the number of distributions of each store in the distribution simulation day (shown in Figure 15). 6 Figure steps S60 2, S6 04). That is, the number of deliveries to a store is
第25頁 200400449 五、發明說明(21) " 式(9)之計算值c進位成整數之數值。 追加配送個數X該店舖之期間銷售個數之構成比=曾 出值c…(9 ) ^ 此追加配送時之配送模擬結果(配送資料)會被傳送至 物流中心電腦4 0。物流中心會利用物流中心電腦4 〇輪出配 送資料,並以該輸出資料為基礎,執行以對各店舖追加配 送SKU為目的之出貨業務。各店舖則實施物流中心追加配 送之SKU的銷售。 4、其他實施例等 4 · 1賦予店舖等級處理之其他實施例 (1 )上述實施形態中,係依據SKl]所屬之商品屬性群組 的「期間銷售金額」來實施店舖等級之賦予,然而,亦可 依據該商品屬性群組之「期間銷售個數」、「期間銷售金 額及SKU運轉率」、或「期間銷售個數及SKU運轉率」來實 施。依據「期間銷售個數及SKU運轉率」實施店舖等級之 賦予時’可以第1 7圖a進行說明。橫軸係各店舖之該商品 屬性群組的期間銷售個數,縱軸係各店舖之該商品屬性群 組的SKU運轉率,各店舖則以黑點表示。依據營業運轉倍 率(期間銷售個數xSKU運轉率)決定各店舖之順位,以前 40%以上為等級S、前4〇〜7〇%為等級A、前7〇〜9〇%為等級 B、最後之1〇%以下為等級C之方式,執行各店舖等級之賦 予又曲線800、8〇2、804、806係各等級間之營業運轉 倍率。 又,為了和其進行比較’第17圖8係依據「期間銷售Page 25 200400449 V. Description of the invention (21) " The calculated value c of formula (9) is rounded to an integer value. The number of additional deliveries X The ratio of the number of sales in the store during the period = the value of the output c ... (9) ^ The delivery simulation result (delivery data) at the time of this additional delivery will be transmitted to the logistics center computer 40. The logistics center will use the computer of the logistics center to issue distribution data in round 40, and based on the output data, execute the shipping business for the purpose of adding SKUs to each store. Each store sells additional SKUs delivered by logistics centers. 4. Other Embodiments, etc. 4.1. Other Examples of the Process of Assigning Store Levels (1) In the above embodiment, the store level is assigned based on the "period sales amount" of the product attribute group to which SK1] belongs. However, It can also be implemented based on the "period sales number", "period sales amount and SKU operation rate", or "period sales number and SKU operation rate" of the product attribute group. The implementation of the shop level assignment based on the "period sales and SKU operation rate" can be explained with reference to Fig. 17a. The horizontal axis represents the number of sales of the product attribute group in each store during the period, and the vertical axis represents the SKU operating rate of the product attribute group in each store. Each store is indicated by a black dot. Determine the order of each store according to the business operation ratio (the number of sales during the period x the SKU operation rate). Formerly 40% or more was level S, the first 40 to 70% was level A, the first 70 to 90% was level B, and finally Below 10% is the method of level C. The execution of each store level and the curves 800, 802, 804, and 806 are the business operation ratios between levels. In addition, in order to compare with it ', FIG. 17 is based on "period sales
200400449 五、發明說明(22) 個數」實施店舖等級之賦予時 此種考慮SKU運轉率之方式時,銷t個數較多但聊運 轉率較低之店舖的順位會下降’相反 sku運轉率較高之店舖的順位則會^。m 銷^效率較高店舖的等級會上昇,故會增加對該店舖之配 送Ϊ,而可促進營業成長。 -辈Lkii第縱軸「營業SKU數」係設定期間中發生 呂業之SKU的種類數。又,亦可以庫 轉率來實施店舖等級之賦予。 千寻取代bKU連200400449 V. Description of the invention (22) Numbers "When implementing the method of considering the SKU operation rate when the shop level is assigned, the order of shops with a large number of pins but a lower operation rate will decrease. The rank of the higher shop will be ^. m The sales level of high-efficiency shops will rise, so it will increase the distribution of the shop, which can promote business growth. -The number of business SKUs on the vertical axis of the generation Lkii is the number of types of SKUs that occurred during the set period. In addition, it is also possible to give a store rank at a stock turnover rate. Chihiro replaces bKU company
(2) 上述之實施形態中,係依據欲配送之SKU所屬之商 品屬性群組的銷售金額等來實施店舖等級之賦T。秋而, 並未限,於此。例如,亦可依據該SKU之銷售金額等來實 施店舖等級之賦予。又,亦可依據類似該SKU之SKU的銷售 金f等來實施店舖等級之賦予。x,亦可依據類似該SKU 所屬之商品屬性群組的商品屬性群組之銷售金額等來實施 店舖等級之賦予。 (3) 上述實施形態中,可利用第9圖,所示之配送模擬晝 面的店舖選擇欄66 0之下拉選單,從「只有s店舖、s · A ^ 舖、S · A · B店舖、全店舖配送」中選取配送對象店舖。 然而’並未限定於此,例如,亦可只選取等級B之店舖。 4 · 2配送模擬(首度配送時、追加配送時)之其他實施例 (1 )上述實施形態中,通常配送處理及1 ·· 1 〇 〇配送處 理時’係以欲配送之SKU所屬之商品屬性群組的銷售金額 (期間銷售金額之構成比)為基礎,計算對各店舖之配送個 Ι^ΒΠΗ 第27頁 200400449 五 L、發明說明(23) 數(第10圖步驟S20 2、第11圖步驟S3 0 6 )。然而,亦可以 配送之SKU所屬之商品屬性群組的銷售個數(期間銷售個^ 之構成比)為基礎,計算對各店铺之配送個數。 " 又,亦可以欲配送之SKU之銷售金額或銷售個激A 礎來计异對各店舖之配送個數。又,亦可以類似該別^ ^ SKU的銷售金額或銷售個數為基礎來計算對(2) In the above-mentioned embodiment, the shop level assignment T is implemented based on the sales amount of the product attribute group to which the SKU to be distributed belongs. Autumn is not limited, here it is. For example, it is also possible to assign a store level based on the sales amount of the SKU. In addition, it is also possible to give a store rank based on the sales money f of a SKU similar to the SKU. x, can also be implemented based on the sales amount of the product attribute group similar to the product attribute group to which the SKU belongs. (3) In the above embodiment, the drop-down menu of the store selection column 660 of the delivery simulation daytime display shown in FIG. 9 can be used to select from “s shop only, s · A ^ shop, S · A · B shop, Select All Stores for Delivery. However, 'is not limited to this, for example, it is also possible to select only a store of level B. 4 · 2 Other examples of delivery simulation (at the time of first delivery and at the time of additional delivery) (1) In the above-mentioned embodiment, the normal delivery process and 1 ·· 100 delivery process' are the products belonging to the SKU to be delivered Based on the sales amount of the attribute group (the composition ratio of the sales amount during the period), calculate the number of deliveries to each store. Page 27 200400449 Five L. Description of the invention (23) Number (step S20 in Figure 10 2, 11) Figure step S3 0 6). However, it is also possible to calculate the number of deliveries to each store based on the number of sales of the product attribute group to which the delivered SKU belongs (period sales ratio ^). " In addition, you can also calculate the number of deliveries to each store based on the sales amount or sales incentive of the SKU. In addition, the sales amount or number of sales similar to the other ^ ^ SKU can also be used to calculate the
Am 7 娜〈配送 w数又,亦可以類似或和其相關之欲配送之sku所屬 1,屬性群組的商品屬性群組之銷售金額或 礎來計算對各店舖之配送個數。 u數為基 (2 )上述實施形態中’營業預測配送理、 :處理上,係利用以欲配送之之以 ^ 土礎之參考值、或期間銷售個數之構成比來計 占之配送個數(第14圖步驟S506、第16圖步驟S602)。缺 :之配送之SKU之銷售金額為基礎來計算對各店'、、 個數^姑ί可以欲配送之SKU所屬之商品屬性群組的銷售 類似^ ΐ金額來計算對各店舖之配送個數。又,矿可以 品屬君:Γ相關之欲配送之SKU所屬之商品屬性群組的商 個2群組之銷售個數或銷售金額來計算對各店舖之配送 作者選取之述等3級^声2恝/ ’1 :10 0配送處理時,依針對操 第U圖步驟S30 0 ) ’然而,亦可為各配送特定量。又, 疋要從上位等級開始配送,亦可依據銷售金額或銷售Am 7 Na <Delivery number can also be similar to or related to the sku to be distributed, the sales amount or basis of the product attribute group of the attribute group to calculate the number of deliveries to each store. Based on the u number (2) In the above-mentioned embodiment, the 'business forecasting distribution theory, processing, and processing are based on the distribution value based on the reference value of ^ earth basis or the number of sales during the distribution period to be distributed. (Step S506 in FIG. 14 and step S602 in FIG. 16). Missing: Calculate sales to each store based on the sales amount of SKUs delivered ^ ί The sales of the attribute group of the SKU to which the SKU can be distributed is similar ^ ΐ The amount is calculated to the number of delivery to each store. In addition, the ore can belong to the jun: Γ related to the SKUs of the product attribute group to which the SKU to be distributed belongs to the number of sales or the sales amount of the two groups to calculate the level 3 selection of the distribution author selected by each store. 2 恝 / '1:10 0 During the delivery process, follow step S30 0 in Figure U). However, a specific amount may also be assigned for each delivery. Also, 疋 To start the delivery from a higher level, it can also be based on the sales amount or sales
200400449 五、發明說明(24) 個數之大小順序實施配送。 (4)上述實施形態中,商品等級配送處理時,會以第 1 3圖A所示之等級別配送數設定畫面要求操作者輸入等級 別配送數(第12圖步驟S4 0 0 )。然而,亦可以為第18圖所示 之專級別配送數設定晝面。因為已預先没定等級別配送數 設定,故會要求操作者選擇期望之項目。又,不一定為等 級別配送數,亦可為等級別配送比率。 (5 )上述實施形態中,首度時及追加時之配送處理方 法係以「通常配送、1 : 1 〇 〇配送、商品等級配送、營举預 測配送、銷售個數構成比之配送」為例來進行說明。然 而’並未限定為此。例如,亦可利用欲配送之Mu所屬之 商品屬性群組的期間銷售個數、及該商品屬性群組所屬之 SKU的種類數(SKU數)(參照第3圖),針對各店舖計算每1種 sku之銷售個數(銷售個數/SKU數),並依據此計算值來實 施配送。 又,亦可利用該商品屬性群組所屬且銷售特定量以上 (例如,銷售1個以上)之3](1]的種類數(運轉SKI]數),計算 各店舖之每1種SKU之銷售個數(銷售個數/運轉SKu數),並 依此计异值實施配送。利用此方式,可實現考慮每1種SKU 之銷售能力的配送處理。又,亦可不實施店舖等級之赋 =,而利用「銷售個數/SKU數」、「銷售個數/運轉SKU 數」來執行配送模擬。 (6 )上述實施形態中,係針對200400449 V. Description of the invention (24) The order of the number of delivery will be implemented. (4) In the above-mentioned embodiment, during the product level delivery process, the operator is required to input the level-specific delivery number on the level-level delivery number setting screen shown in Fig. 13A (step S4 0 0 in Fig. 12). However, it is also possible to set the daytime for the special-level delivery number shown in Figure 18. Since the number of equal-level distributions has not been set in advance, the operator will be required to select the desired item. In addition, it is not necessarily the number of equal-level deliveries, and it may be the same-level delivery ratio. (5) In the above-mentioned embodiment, the first-time and additional-time delivery processing methods are based on "normal delivery, 1: 1 delivery, product-level delivery, campaign forecast delivery, and sales number composition ratio" as examples. To explain. However, 'is not limited to this. For example, it is also possible to use the number of sales of the product attribute group to which Mu belongs to be distributed and the number of types of SKUs (SKU number) to which the product attribute group belongs (refer to FIG. 3). The number of sales of each kind of sku (sales number / sku number), and distribution is performed based on this calculated value. In addition, the number of categories (operation SKI) of 3] (1) that the product attribute group belongs to and sells more than a specific amount (for example, 1 or more) can be used to calculate the sales per SKU of each store Number of sales (number of sales / number of operating SKu), and then carry out distribution based on this calculation. Using this method, you can achieve distribution processing that takes into account the sales ability of each SKU. In addition, it is not necessary to implement shop level assignment =, The distribution simulation is performed using the "number of sales / SKUs" and "the number of sales / SKUs in operation." (6) In the above embodiment,
200400449 五、發明說明(25) 2點取配送個數變更按鈕64〇,則亦可以在總配送個數設 疋攔6 5 0輸入數值之方式來實施設定。 及雜(隹ΙΛΙΛ施形態中’追加配送時之營業預測配送、 及銷售個數構成比之配送係以含當週在 個數Λ例爽推弁%日日^ 、牡Μ之b週間的銷售 = 然而,並未限定為此期間者,摔作 ΐ:: 該期間。又’亦可未設定期間,而採= 目别為止之銷售個數的累計。 5 ^ ^ ^ ^(7) ^ ^ ^ ^ 彳π對各店舖之配送個數, 以 =(=當週營業預測值/消化率)取代該 各店舖之配送個數。 〃 1但+寸t對 (9)上述實施形態中,追加配 之賦予的情形下,利用夾去括〜A才係未只施店舖專級 對賦予等級之店舖利用::::細配运模擬。然、而,亦可 自利用參考值實施配送模擬。 你# ϋ 實施形態中,係將數式(3)、(4)之計糞值淮 位成整數後的數值當倣斛 J Μ)之彳异值進 將該計算值捨去^、齡士、店舖之配送個數。然而,亦可 算值之整數值者做對各广f整數之數值,、或以最接近該計 舖之配送舖之配送錢。同樣的,對各店 整數之數值,亦為式⑺之計算參考值進位成 4· 3其他實施例、 小數而成為整數之數值等。 夾克、套頭Ύ、,商品屬性群組係以品目(例如, 而,並未限定二此平亦3等)及尺寸來實施群組化者。然 此亦可以其他要素(例如,顏色等)來實 200400449 五、發明說明(26) 施群組化。又’品目及尺寸以外’尚可以次品目(例如, 編織、織品、平針織物等)來實施群組化。使用此次品 目,可以形成具有更接近配送對象之SKU的特性之商品屬 性群組。 又,亦可只以品目、次品目、或尺寸來形成商品屬性 群組。例如,欲配送「平針織物」型之SKlJ時,可以不設 定品目’而利用以次品目「平針織物」形成之商品屬性群 又’亦可設定複數商品屬性群組。例如,設定複數品 目或次品目,可有較多之商品屬性群組的營業資料,有時 十分有用。 (2)上述實施形態中,配送標的物係對應以品號、尺 寸、顏色特定之商品—SKU來進行說明,而對應配送標的物 之經營貫績資訊則係對應商品屬性群組(夾克、尺寸A)之 銷售金額來進行說明。然而,對應配送標的物之經營實績 資成’亦可以為配送標的物之種類 '性質、機能等其他特 性、及具有相關或類似特性之經營實績資訊。對應配送標 的物及配送標的物之經營實績資訊的實例如第丨9圖所示。 (3 )上述實施形態中,配送模擬係針對決定對那一個 店舖配送多少商品時進行說明。然而,只決定對那一個店 舖配送(配送對象)時、或只決定配送多少商品(配送量) 時,亦適用本發明。 口(4 )、上述實施形態中,係以對複數各店铺實施物理之 商πσ配送日$為例進行說明,然而,利用電性通信回線將資200400449 V. Description of the invention (25) Take the delivery number change button 642 at 2 points, then you can also set the total delivery number setting block 650 to enter the value to implement the setting. And the miscellaneous (隹 ΙΛΙΛΛ application form 'business forecast distribution at the time of additional distribution, and the distribution ratio of the number of sales are based on the number of sales in the current week, including the number of days ^% ^, ^, and sales of week b. = However, this period is not limited to those who fall into a slap :: This period. Also, the period may not be set, but mining = the cumulative number of sales up to the end of the item. 5 ^ ^ ^ ^ (7) ^ ^ ^ ^ 彳 π For the number of deliveries of each store, replace the number of deliveries of each store with = (= business forecast for the current week / digestibility). 〃 1 but + inch t pair (9) In the above embodiment, add In the case of matching, the use of a folder to enclose ~ A is not the only way to apply the store level to the store that has been assigned a level: ::: fine distribution simulation. However, you can also use the reference value to implement the distribution simulation. You # ϋ In the implementation form, the calculated value of the formula (3) and (4) is calculated as the integer value, and the calculated value is rounded off. , The number of stores delivered. However, it is also possible to calculate the integer value of the value of each integer f, or the distribution money of the distribution store closest to the store. Similarly, the value of the integer in each store is rounded to the reference value of formula ⑺ in other embodiments, and the decimal value becomes an integer value. Jackets, pullovers, and product attribute groups are grouped by item (for example, but not limited to two, three, etc.) and size. However, it can also be implemented by other elements (eg, color, etc.). 200400449 V. Description of the Invention (26) Grouping. In addition to "items and sizes", sub-items (e.g., knit, fabric, jersey, etc.) can be grouped. Using this item, a product attribute group with characteristics closer to the SKUs of the distribution target can be formed. In addition, the product attribute group may be formed only by the item, inferior item, or size. For example, when a "jersey" type of SKlJ is to be distributed, a product attribute group formed by a jersey "jersey" may be used instead of the item "," or a plurality of product attribute groups may be set. For example, setting multiple items or sub-items can have more business data for product attribute groups, which is sometimes very useful. (2) In the above embodiment, the delivery subject matter is described with the product number, size, and color-specific SKU, and the business performance information corresponding to the delivery subject matter is corresponding to the product attribute group (jacket, size A) The sales amount will be explained. However, the business performance information corresponding to the distribution target may also be the type of the distribution target, and other characteristics such as nature, function, and other related performance information. An example of business performance information corresponding to the delivery target and the delivery target is shown in Figure 丨 9. (3) In the above-mentioned embodiment, the delivery simulation is described when deciding how many products to deliver to that store. However, the present invention is also applicable when only deciding on which store to deliver (delivery target), or only how many products (delivery amount) are to be delivered. (4) In the above embodiment, the physical quotient πσ delivery date $ for a plurality of stores is used as an example.
第31頁 200400449 五、發明說明(27) 料或程式當做配送標的物配送時亦可適用本發明。又, 同一店舖等内對複數商品配置區域配送商品時亦可適用2 發明。例如,對同一店舖之1樓〜5樓配送同一商品時。 (5 )上述實施形態中’係利用配送處理電腦丨〇及豆 電腦(集計處理電腦20)來執行資料集計處理,然而/亦可 以配送處理電腦1 0執行資料集計處理。 (6) 上述實施形態中,係以對各店舖配送服裝商品時 為例來進行說明,然而,本發明亦可適甩於一般商品 品、電器製品等)°又’配送之對象並未限定為各店舖之 銷售對象的物品。又,亦可適用於企業間之交。 (7) 上述實施形態中,配送對象係以店舖為例造行説 明,然而,並不限於此。例如,亦可為工廠、營業 戒 物流中心等。 ^ , (8) 上述實施形態中,配送模擬結果 送至物流中心電腦40。然而,亦 =貝科)曰 52、54。此時,亦可由各店舖::傳达5店舖電腦5〇、# 發出商品之出貨指令。X,在3 ==貝料對物流中穴 配送個數的範圍内,各店舖亦可商舖 計處(=實二態以 . 、卞斗 然而,亦可將]隹φ皆資科 輸出並將文件送交本部。同揭 yPage 31 200400449 V. Description of the invention (27) The present invention can also be applied when the material or program is delivered as the object of delivery. The second invention can also be applied to a case where a plurality of product placement areas are distributed in the same store or the like. For example, when the same product is delivered to the first to fifth floors of the same store. (5) In the above embodiment, the data collection and counting processing is performed using the distribution processing computer and the bean computer (collection processing computer 20). However, the data collection and calculation processing may also be performed with the distribution processing computer 10. (6) In the above-mentioned embodiment, the description is given by taking the case of distributing clothing products to each store as an example. However, the present invention can also be applied to general merchandise products, electrical products, etc.) The object of distribution is not limited to Items for sale in each store. It can also be applied to business-to-business exchanges. (7) In the above-mentioned embodiment, the delivery object is explained by taking the store as an example, but it is not limited to this. For example, it can be a factory, a business, or a logistics center. ^, (8) In the above embodiment, the distribution simulation result is sent to the logistics center computer 40. However, also = Beco) said 52,54. At this time, it is also possible for each store :: to convey 5 store computers 50, # to issue a shipping instruction for the product. X, within the range of 3 == shell material to the number of distribution points in the logistics, each store can also calculate the store (= real two states with., 卞 斗 However, you can also output) 隹 φ are all resources and output Documents sent to the headquarters.
對本部之集計處理電腦20=章!ΓΓ、52、54: 業資料輸出並將文件送交貧料’然而’亦可將I (10)上述實施形態中,係以同時使用配送處理電膽20 = chapters of the computer processing of the headquarters! ΓΓ, 52, 54: Export business data and send documents to poor materials ’However, I (10) In the above embodiment, the power amplifiers are also processed with the distribution.
第32頁 200400449 五、發明說明(28) 10、以及集計處理電腦20、物 50來執行上述配送模擬及 ^ =、或店舖電腦 說明。然而,亦可單獨以舖ΐ級處理時為例來進行 及賦予店舖等級處; 送處理電腦10來執行配送模擬 ⑴)上述實施形態中,係以配送同 之 時為例來進行說明。然%,並未限定為同:裝商。口 4· 4集計處理電腦2〇之處理 牌守。 第20圖係第1圖所示之集計處理電腦 理之流程圖。集計處理電腦2。之cpu會從各店舖 腦50、52、54接收營業資料(那—種副銷售 = ,物流中心電腦40接收進出庫資料(那—種 )及 個、總共有多少庫存),又,取得來自 進上夕㈣ (那-種SKU訂購多少個),並·其儲存於資料庫;= 之交易資料庫DB36(第20圖步驟S8〇〇)。至到達特]定服時 止會重複執行此處理(第2 〇圖步驟% 〇 2 )。 、 到達特定時刻時,會針對各SKU實施各店舖之營 料的集計,並將其當做當日之營業數記錄於資料庫祠服、 30之交易資料庫DB36(第20圖步驟S8〇4)。同樣=, 各 SKU實施入庫資料、出庫資料之集計,並記錄於交易資料各 庫DB36。利用此方式,可累積每曰之營業資料等。, 又,亦會針對各店舖之各SKU計算該週之銷售金額的 累计(星期一開始之銷售金額的累計)、該週之銷售個數 累計、以及進貨個數及庫存個數等(第2〇圖步驟S8〇6), 記錄於資料庫伺服器30之交易資料庫DB36(參照第5圖’Page 32 200400449 V. Description of the invention (28) 10, and aggregate processing computer 20, thing 50 to perform the above-mentioned distribution simulation and ^ =, or store computer description. However, it is also possible to perform the shop-level processing alone as an example and assign the store rank; send the processing computer 10 to perform the distribution simulation ⑴) In the above embodiment, the same time is used as an example for explanation. Of course,% is not limited to the same: installer. Mouth 4 · 4 sets of processing computer 20 card guards. Fig. 20 is a flow chart of the computer processing process shown in Fig. 1. Collective processing computer 2. The CPU will receive business data from each store's brain 50, 52, and 54 (that kind of deputy sales =, and the logistics center computer 40 receives the inbound and outbound data (that kind) and the total number of stocks), and obtains On the last night (how many SKUs are ordered), and it is stored in the database; = transaction database DB36 (Figure 20, step S800). This process is repeated until the order is reached (Figure 20, step% 02). 2. When a specific time is reached, a collection of materials for each store will be implemented for each SKU, and it will be recorded as the number of sales on that day in the database database, 30 in the transaction database DB36 (Figure 20, step S804). Similarly, each SKU implements aggregation of inbound and outbound data, and records it in each database DB36 of transaction data. Using this method, you can accumulate business information, etc., every day. Also, for each SKU of each store, the total sales amount for that week (the total sales amount from Monday), the total number of sales for the week, the number of purchases and inventory, etc. (the second 〇Step S8〇6), recorded in the transaction database DB36 of the database server 30 (refer to Figure 5 '
200400449 五、發明說明(29) B)(第20圖步驟S80 8 )。 ΗϋϋΙ 第34頁 200400449 圖式簡單說明 五、【圖式簡單說明】 第1圖係配送處理系統之構成圖。 第2圖係配送處理系統之處理的概要流程圖。 第3圖係S K U及商品屬性群組之關係圖。 第4圖係配送處理電腦丨〇、資料庫伺服器3 〇之硬體構成 圖。 f 5圖係商品DB34、交易資料庫DB36之資料圖。 ^ 6圖係賦予店舖等級之處理的流程圖。 第7圖係店舖等級設定晝面圖。 第8圖係首度配送時之配送模擬的流程圖。 第9圖係配送模擬畫面圖。 第1 0圖係通常配送處理之流程圖。 第Π圖係1 : 1〇〇配送處理之流程圖。 第12圖係商品等級配送處理之流程圖。 f 1 3圖係等級別配送數設定晝面圖。 第1 4圖係追加配送時之配送模擬的流程圖。 ,1 5圖係配送模擬晝面圖。 ^ 1 j,係鎖售個數構成比之配送處理的流程圖。 售金ϊίίί舖之銷售個數及SKU運轉率、銷售個數及銷 |卯j 1糸圖。 f 1 8圖係等級別配送數設定晝面圖。 ^1。9圖係配送標的物、及對應其之經營實績資訊實例的圖 第2。圖係資料集計處理之流程圖。200400449 V. Description of the invention (29) B) (Fig. 20, step S80 8). ΗϋϋΙ Page 34 200400449 Brief description of the drawings 5. [Simplified description of the drawings] The first diagram is the structure diagram of the distribution processing system. Fig. 2 is a schematic flowchart of processing by the delivery processing system. Figure 3 is the relationship between SKU and the product attribute group. Figure 4 is a hardware configuration diagram of the distribution processing computer 丨 〇 and the database server 3 〇. f 5 is the data map of commodity DB34 and transaction database DB36. ^ 6 is a flowchart of a process of assigning a store rank. Fig. 7 is a day view of a shop level setting. Figure 8 is a flowchart of the distribution simulation during the first distribution. Figure 9 is a delivery simulation screen. FIG. 10 is a flowchart of a normal delivery process. Figure Π is a flowchart of 1: 100 distribution processing. FIG. 12 is a flowchart of a product level delivery process. The f 1 3 chart is a day-to-day chart for setting the number of equal-level deliveries. Fig. 14 is a flow chart of the distribution simulation at the time of additional distribution. Figure 15 is a daily diurnal map of distribution simulation. ^ 1 j is a flow chart of the distribution process of the number of locks sold. The number of sales and the SKU operating rate, the number of sales, and the sales of the sale of gold ϊίίί shop. The f 1 8 map is a day-to-day map for setting the number of equal-level deliveries. ^ 1.9 The figure is the second figure of the distribution target object and the corresponding business performance information example. The diagram is a flowchart of data collection and processing.
第35頁 200400449 圖式簡單說明 [元件符號之說明] 1 〇〜配送處理電腦 2 0〜集計處理電腦Page 35 200400449 Brief description of the drawings [Description of component symbols] 1 〇 ~ Delivery processing computer 2 0 ~ Set processing computer
3 0〜資料庫伺服器 32〜店舖DB3 0 to database server 32 to store DB
3 4〜商品DB3 4 to product DB
36〜交易資料庫DB 4 0〜物流中心電腦 50、52、54〜店舖電腦 102 〜CPU 1 0 4〜硬碟 1 06〜顯示器 I 0 8〜通信部36 ~ transaction database DB 4 0 ~ logistics center computer 50, 52, 54 ~ store computer 102 ~ CPU 1 0 4 ~ hard disk 1 06 ~ display I 0 8 ~ communication department
II 0〜記憶體 112〜鍵盤/滑鼠 114〜CD-ROM驅動器 11 6〜軟碟驅動器 118〜CD-ROMII 0 ~ Memory 112 ~ Keyboard / Mouse 114 ~ CD-ROM drive 11 6 ~ Floppy disk drive 118 ~ CD-ROM
302〜CPU 3 0 4〜硬碟 3 0 6〜通信部 3 0 8〜記憶體 310〜CD-ROM驅動器302 ~ CPU 3 0 4 ~ Hard disk 3 0 6 ~ Communication section 3 0 8 ~ Memory 310 ~ CD-ROM drive
200400449 圖式簡單說明 3 1 2〜軟碟驅動器 60 0〜SKU輸入欄 610〜SKU簡圖標示欄 620〜SKU詳細資訊欄 6 3 0〜品目欄200400449 Brief description of the drawing 3 1 2 ~ Floppy disk drive 60 0 ~ SKU input field 610 ~ SKU short icon display field 620 ~ SKU detailed information field 6 3 0 ~ item field
6 4 0〜配送個數變更按鈕 6 5 0〜總配送個數設定欄 6 60〜店舖選擇攔 670〜1 : 100配送指令按姐 6 8 0〜商品等級按鈕6 4 0 ~ delivery number change button 6 5 0 ~ total delivery number setting column 6 60 ~ shop selection bar 670 ~ 1: 100 delivery instruction press sister 6 8 0 ~ product level button
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US10198494B2 (en) | 2006-05-18 | 2019-02-05 | Allotz.Com Limited | Control of distributed databases |
JP5344561B2 (en) * | 2008-11-27 | 2013-11-20 | キヤノンItソリューションズ株式会社 | Vending machine operation support apparatus, vending machine operation support method and program |
JP5789112B2 (en) * | 2011-03-28 | 2015-10-07 | 生活協同組合コープさっぽろ | Information management system and information management program |
CN104731809B (en) * | 2013-12-23 | 2018-10-02 | 阿里巴巴集团控股有限公司 | The processing method and processing device of the attribute information of object |
CN106997516A (en) * | 2016-01-22 | 2017-08-01 | 阿里巴巴集团控股有限公司 | A kind of method for distributing business and device |
US20190057406A1 (en) * | 2016-09-21 | 2019-02-21 | Hitachi, Ltd. | Analysis method, analysis system, and storage medium |
JP6974949B2 (en) * | 2017-02-22 | 2021-12-01 | 株式会社オービック | Inventory allocation order setting device, inventory allocation order setting method, and inventory allocation order setting program |
CN111861058A (en) * | 2019-04-29 | 2020-10-30 | 贝壳技术有限公司 | Stock removing speed measuring method and device |
JP7323338B2 (en) * | 2019-05-24 | 2023-08-08 | 株式会社ワールド | Distribution processing device, distribution processing method, and distribution processing program |
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CN111553595A (en) * | 2020-04-29 | 2020-08-18 | 北京小米松果电子有限公司 | Commodity distribution method, commodity distribution device, commodity distribution equipment and storage medium |
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JPH0223464A (en) * | 1988-07-13 | 1990-01-25 | Hitachi Ltd | Commodity arrangement determining method and its system |
JPH11250132A (en) * | 1998-02-27 | 1999-09-17 | Toshiba Tec Corp | Store sales management system |
JP2001265866A (en) * | 2000-03-15 | 2001-09-28 | Nri & Ncc Co Ltd | Sale stock simulator, article stock management system with built-in sale stock simulator, and sale stock simulation method correcting opportunity loss |
JP2001338354A (en) * | 2000-05-29 | 2001-12-07 | Olympus Optical Co Ltd | System for outputting store information |
JP2002083111A (en) * | 2000-06-20 | 2002-03-22 | Nichimen Corp | Commodity management system |
JP4242574B2 (en) * | 2000-06-21 | 2009-03-25 | 新日鉄ソリューションズ株式会社 | Demand prediction apparatus, demand prediction method, and computer program |
JP2002109190A (en) * | 2000-10-02 | 2002-04-12 | Toyota Motor Corp | Method and device for optimizing new product manufacture |
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KR20050014813A (en) | 2005-02-07 |
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