JPH11203361A - System for easily calculating production schedule - Google Patents
System for easily calculating production scheduleInfo
- Publication number
- JPH11203361A JPH11203361A JP607698A JP607698A JPH11203361A JP H11203361 A JPH11203361 A JP H11203361A JP 607698 A JP607698 A JP 607698A JP 607698 A JP607698 A JP 607698A JP H11203361 A JPH11203361 A JP H11203361A
- Authority
- JP
- Japan
- Prior art keywords
- data
- production plan
- production
- shipment
- future
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 76
- 238000004364 calculation method Methods 0.000 claims description 11
- 238000004891 communication Methods 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 abstract 1
- 238000012882 sequential analysis Methods 0.000 abstract 1
- 238000000034 method Methods 0.000 description 8
- 238000007726 management method Methods 0.000 description 6
- 238000012731 temporal analysis Methods 0.000 description 6
- 238000000700 time series analysis Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Multi-Process Working Machines And Systems (AREA)
- General Factory Administration (AREA)
- Control By Computers (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Description
【０００１】[0001]
【発明の属する技術分野】この発明は、負荷を平準化し
た簡易な生産計画案を立案する生産計画案簡易算出方式
に関する。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a simplified production plan calculating method for drafting a simple production plan with leveled loads.
【０００２】[0002]
【従来の技術】従来の生産計画立案業務は、販売管理、
生産管理システムの出荷高（売上高）実績データを抽出
し、それを基に出荷予測（予算）をたて、生産計画立案
システムに予測データを入力し、出力結果を調整した生
産計画を実施していた。2. Description of the Related Art Conventional production planning work includes sales management,
Extract the actual data of shipment (sales) of the production management system, make a shipment forecast (budget) based on it, input the forecast data to the production planning system, and adjust the output result to implement the production plan. I was
【０００３】[0003]
【発明が解決しようとする課題】ところが上述の従来技
術による方法には次のような問題点があった。第１の問
題点は、人間の判断による出荷予測は必ずしも精度が高
くないということである。その理由は業務担当者の経験
など個人差によってばらつきがあること、および経験の
他人への伝達が難しいことによる。However, the above-mentioned prior art method has the following problems. The first problem is that the prediction of shipment by human judgment is not always high in accuracy. The reason for this is that there is variation due to individual differences, such as the experience of business personnel, and that it is difficult to communicate the experience to others.
【０００４】第２の問題点は出荷予測（需要予測）シス
テムの導入、運用には高額の投資が必要であるというこ
とである。その理由は出荷予測システムの導入、運用に
は時系列分析などの高度な専門知識が必要であることに
よる。[0004] The second problem is that introduction and operation of a shipping forecasting (demand forecasting) system requires a large investment. The reason is that the introduction and operation of the shipping forecasting system requires advanced expertise such as time series analysis.
【０００５】本発明は上記の問題点の解決を課題として
なされたもので、個人差や経験の有無などによるばらつ
きがなく、出荷予測システムの導入や時系列分析などの
高度な専門知識を必要としない生産計画案簡易算出方式
を提供することを目的とする。SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems, and does not vary according to individual differences and the presence or absence of experience, and requires advanced expertise such as introduction of a shipping forecasting system and time series analysis. An object of the present invention is to provide a simplified production plan calculation method.
【０００６】[0006]
【課題を解決するための手段】請求項１に記載の発明
は、ホストコンピュータ等と通信回線を介して接続され
たパーソナルコンピュータにおいて、前記ホストコンピ
ュータ等から最新月の出荷高実績を受信する実績データ
受信手段と、該実績データ受信手段が受信したデータに
基いて過去の所定月分の出荷高実績データを更新する実
績データ更新手段と、前記更新された過去の所定月分の
出荷高実績データに基づいて時系列分析手法により将来
の所定月分の出荷高予測を行う将来データ予測手段と、
特注製品比率や期末基準在庫高等のパラメータを設定、
更新する生産計画パラメータ更新手段と、前記将来デー
タ予測手段による将来の出荷高予測と前記生産計画パラ
メータ更新手段によって設定された前記パラメータとか
ら生産計画を立案する生産計画立案手段と、各データの
ファイリングを行うファイルシステムと、を具備してな
る生産計画案簡易算出方式を提供する。According to a first aspect of the present invention, there is provided a personal computer connected to a host computer or the like via a communication line, wherein the personal computer connected to the host computer or the like receives actual shipment data of the latest month from the host computer or the like. Receiving means, actual data updating means for updating the actual shipment data for a predetermined month in the past based on the data received by the actual data receiving means, and updating the actual shipment data for the predetermined month in the past. Future data forecasting means for forecasting the shipment amount for a predetermined month in the future based on a time-series analysis method,
Set parameters such as the ratio of custom-ordered products and end-of-term base inventory,
A production plan parameter updating means for updating; a future shipment amount prediction by the future data prediction means; and a production plan drafting means for drafting a production plan from the parameters set by the production plan parameter updating means; and filing each data. And a file system for performing the above.
【０００７】請求項２に記載の発明は、前記通信回線
が、ローカルエリアネットワーク（ＬＡＮ）であること
を特徴とする請求項１に記載の生産計画案簡易算出方式
を提供する。According to a second aspect of the present invention, there is provided the production plan simple calculation method according to the first aspect, wherein the communication line is a local area network (LAN).
【０００８】請求項３に記載の発明は、前記過去の所定
月が、前記将来の所定月より長期であることを特徴とす
る請求項１または２に記載の生産計画案簡易算出方式を
提供する。According to a third aspect of the present invention, there is provided the production plan draft simple calculation method according to the first or second aspect, wherein the predetermined month in the past is longer than the predetermined month in the future. .
【０００９】また、請求項４に記載の発明は、前記生産
計画立案手段による前記生産計画が、前記生産計画パラ
メータ更新手段によって設定されたパラメータを基に生
産最高負荷月から生産予定高を前倒しし、負荷を平準化
した生産計画であることを特徴とする請求項１ないし３
のいずれかに記載の生産計画案簡易算出方式を提供す
る。According to a fourth aspect of the present invention, the production plan by the production plan drafting means is to bring forward the scheduled production amount from the maximum production load month based on the parameters set by the production plan parameter updating means. 4. A production plan in which the load is leveled.
The production plan draft simple calculation method described in any of the above.
【００１０】[0010]
【発明の実施の形態】以下、この発明の一実施形態につ
いて図を参照しながら説明する。図１はこの発明の一実
施形態による生産計画案簡易算出方式の構成を示すブロ
ック図である。図１を参照すると、本実施例は、パーソ
ナルコンピュータ１と、生産管理、販売管理のシステム
が稼動するホストコンピュータ等２と、通信回線（ＬＡ
Ｎ等）３と、生産計画立案内容を出力するプリンタ装置
４、ディスプレイ装置５および生産計画立案のためのパ
ラメータを入力するキーボード装置６とから構成され
る。DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing a configuration of a production plan draft simple calculation method according to an embodiment of the present invention. Referring to FIG. 1, in the present embodiment, a personal computer 1, a host computer or the like 2 on which a production management and sales management system operates, and a communication line (LA)
N) 3 and a printer device 4 for outputting the contents of production planning, a display device 5, and a keyboard device 6 for inputting parameters for production planning.
【００１１】前記パーソナルコンピュータ１のファイル
システム１６は、過去３６ヶ月分の製品の出荷高を製品
群毎に記憶している。また、このファイルシステム１６
には、生産計画を立案するための特注製品比率、製品群
比率および期末基準在庫高の各データも記憶している。The file system 16 of the personal computer 1 stores product shipments for the past 36 months for each product group. The file system 16
Stores data on the ratio of custom-ordered products, the ratio of product groups, and the standard stock at the end of the term to formulate a production plan.
【００１２】実績データ受信手段１１は生産管理、販売
管理のシステムが稼動するホストコンピュータ等２から
通信回線（ＬＡＮ等）３を通じて製品群毎の最新月の出
荷高データを受信する。実績データ更新手段１２は最新
月の出荷高データを基に過去３６ヶ月分の出荷高データ
を最新状態に更新する。The performance data receiving means 11 receives the latest month's shipment data for each product group from a host computer or the like 2 on which a production management and sales management system operates, via a communication line (LAN or the like) 3. The result data updating means 12 updates the shipment data for the past 36 months to the latest state based on the shipment data for the latest month.
【００１３】将来データ予測手段１３は最新状態に更新
された３６ヶ月分の出荷高データより将来２４ヶ月分の
出荷高を時系列分析手法により算出する。生産計画立案
手段１４は将来データ予測手段１３によって算出された
将来２４ヶ月分の出荷高と生産計画立案パラメータ更新
手段１５により設定された特注製品比率、期末基準在庫
高などのパラメータを基に生産最高負荷月から生産予定
高を前倒しし、負荷を平準化した生産計画案を算出す
る。The future data predicting means 13 calculates the shipment amount for the future 24 months from the updated shipment amount data for 36 months by a time-series analysis method. The production plan drafting means 14 produces the highest production based on parameters such as the shipment amount for the future 24 months calculated by the future data prediction means 13, the custom-made product ratio set by the production plan drafting parameter updating means 15, and the end-of-term reference inventory. The planned production volume is advanced from the load month, and the production plan is calculated with the load leveled.
【００１４】プリンタ装置４は将来データ予測手法１３
によって算出された将来２４ヶ月分の製品群、特注製
品、規格製品毎の出荷高、生産計画立案手段１４によっ
て算出された将来２４ヶ月分の製品群毎、特注製品、規
格製品毎の生産高、在庫高を表形式に出力する。ディス
プレイ装置５はプリンタ装置４同様の表形式の出力に加
えて棒グラフ、折れ線グラフなどのグラフィカルな表示
も行う。The printer device 4 uses a future data prediction method 13
The product amount for the future 24 months calculated by the above, the shipment amount for each custom-ordered product and standard product, the production amount for the product group for the future 24 months, the custom-ordered product and the standard product each calculated by the production planning unit 14, Outputs inventory to a table. The display device 5 performs a graphical display such as a bar graph and a line graph in addition to a tabular output similar to the printer device 4.
【００１５】次に、図１および図２を参照してこの実施
形態の動作について詳細に説明する。ホストコンピュー
タ等２から実績データ受信手段１１により最新月分（処
理実施月度の前月）の製品群の出荷高データを受信する
（図２のステップＡ１、以下ステップはすべて図２）。Next, the operation of this embodiment will be described in detail with reference to FIGS. The shipment data of the product group for the latest month (previous month of the processing execution month) is received from the host computer 2 by the performance data receiving means 11 (step A1 in FIG. 2; all subsequent steps are FIG. 2).
【００１６】出荷高データは年月、製品群コード、出荷
高（金額、数量）などで構成される。最新の出荷高デー
タを受信すると、実績データ更新手段１２により過去３
６ヶ月出荷高データのｎヶ月前出荷高（ｎは１〜３６）
を（ｎ＋１）ヶ月前出荷高に更新し、最新の出荷高を１
ヶ月前出荷高に設定する（ステップＡ２）。過去３６ヶ
月出荷高データは製品群コード、ｎヶ月前出荷高（金
額、数量）などで構成される。更新された過去３６ヶ月
出荷高データにより将来データ予測手段において時系列
分析手法を用いて将来２４ヶ月分の出荷高を算出する
（ステップＡ３）。将来２４ヶ月出荷高データは製品群
コード、ｎヶ月後出荷高（金額、数量）などで構成され
る。The shipment amount data is composed of year, month, product group code, shipment amount (amount, quantity) and the like. When the latest shipment amount data is received, the past data 3
6 months shipment data n months before shipment (n is 1-36)
Is updated to (n + 1) months ago shipment, and the latest shipment is
Monthly shipment is set (Step A2). The past 36 months shipment amount data includes a product group code, n months ago shipment amount (amount and quantity), and the like. Based on the updated shipment data for the past 36 months, the future data prediction means calculates the shipment for the next 24 months by using a time-series analysis technique (step A3). The future shipment data for 24 months is composed of a product group code, a shipment amount (amount and quantity) after n months.
【００１７】生産計画立案手段１４は将来２４ヶ月分の
出荷高データから次の手順で生産計画データを算出す
る。まず将来２４ヶ月の出荷高データをあらかじめ生産
計画立案パラメータ更新手段で設定された、月別、製品
群別の特注製品比率により、特注製品分と規格製品分に
分離する（ステップＡ４）。The production planning means 14 calculates production planning data from the shipment data for the next 24 months in the following procedure. First, shipment data for the future 24 months is separated into a custom product and a standard product according to the custom product ratio for each month and each product group, which is set in advance by the production planning parameter updating means (step A4).
【００１８】次に規格製品の生産高を算出する。規格製
品は計画生産のため出荷月の１ヶ月前の月に生産するこ
ととし、ｎヶ月後出荷高を（ｎ−１）ヶ月後生産高に設
定する（ステップＡ５）。次に規格製品の生産高を調整
する。生産高調整は、前期末の在庫高実績と今期末の在
庫予定高と基準在庫高により生産高調整係数を算出し、
生産高に乗じて調整する（ステップＡ６）。Next, the output of the standard product is calculated. The standard product is to be produced one month before the shipment month for planned production, and the shipment amount after n months is set to the production amount after (n-1) months (step A5). Next, the output of the standard product is adjusted. For the production adjustment, the production adjustment coefficient is calculated based on the actual inventory at the end of the previous fiscal year, the estimated inventory at the end of the current fiscal year, and the standard inventory.
The adjustment is made by multiplying the production amount (step A6).
【００１９】次に特注製品の生産高を算出する。特注製
品は計画生産ではないので、出荷月の出荷高をそのまま
生産高に設定する（ステップＡ７）。次に規格製品、特
注製品、を含めた将来２４ヶ月の全製品生産高から、製
品全体の平準化生産高を算出する。平準化の期間は現在
月から当年度末までとし、山崩しは規格製品からのみ行
い、欠品が起こらないように前倒しのみ行う（ステップ
Ａ８）。Next, the production amount of the custom-made product is calculated. Since the custom-ordered product is not the planned production, the shipment amount in the shipment month is set to the production amount as it is (step A7). Next, from the total product output in the future 24 months including the standard product and the custom product, the normalized output of the entire product is calculated. The leveling period is from the current month to the end of the current fiscal year, and the landslide is performed only from the standard product, and only the forward movement is performed so as not to cause a shortage (step A8).
【００２０】次に各製品群の製品全体に対する生産高比
率を月別に算出する（ステップＡ９）。月別の製品群比
率、平準化前全製品生産高および平準化後全製品生産高
を使用して、製品群毎の平準化生産高を算出し平準化生
産計画を出力する。生産計画データは出荷予定高、規格
製品生産予定高、特注製品生産予定高、計画品在庫予定
高などから構成される（ステップＡ１０）。Next, the production ratio of each product group to the entire product is calculated for each month (step A9). Using the monthly product group ratio, total product output before leveling, and total product output after leveling, the leveled production for each product group is calculated and a leveled production plan is output. The production plan data is composed of a planned shipping amount, a standard product production planned amount, a custom product planned production amount, a planned product inventory planned amount, and the like (step A10).
【００２１】以上、本発明の一実施形態の動作を図面を
参照して詳述してきたが、本発明はこの実施形態に限ら
れるものではなく、本発明の要旨を逸脱しない範囲の設
計変更等があっても本発明に含まれる。例えば、上述の
実施形態ではパーソナルコンピュータでの実現例を説明
したが、ワークステーションにおいても実現可能であ
る。またホストコンピュータ等と通信回線（ＬＡＮ等）
での接続例を説明したが、データの入力手段として他コ
ンピュータとの通信以外の方法によっても実現可能であ
る（磁気テープなどの使用）。その他コンピュータの種
類にも制限はない。The operation of one embodiment of the present invention has been described above in detail with reference to the drawings. However, the present invention is not limited to this embodiment, and a design change or the like may be made without departing from the gist of the present invention. The present invention is also included in the present invention. For example, in the above-described embodiment, an example of realization with a personal computer has been described, but the present invention can also be realized with a workstation. Communication line with host computer etc. (LAN etc.)
Although the connection example described above has been described, the data input means can be realized by a method other than communication with another computer (use of a magnetic tape or the like). There are no other restrictions on the type of computer.
【００２２】[0022]
【発明の効果】これまでに説明したように、この発明に
よる第１の効果は、製品群毎の規格製品（計画生産品）
の生産計画の精度が向上することである。その理由は、
出荷高の予測を過去３６ヶ月分の出荷実績より時系列分
析して算出していること、過去の出荷実績に基づき設定
する月別の特注製品比率、前期末の在庫高実績と当期末
の予定在庫高により算出していることによる。As described above, the first effect of the present invention is that a standard product (planned product) for each product group is provided.
Is to improve the accuracy of production planning. The reason is,
Shipment forecasts are calculated by performing a time-series analysis on the past 36 months of shipment results, monthly custom-ordered product ratios set based on past shipment results, inventories at the end of the previous fiscal year and planned inventories at the end of the current fiscal year Due to calculation based on height.
【００２３】第２の効果は生産計画立案工数が削減でき
ることである。その理由は従来自動化されていなかった
この一連の作業をパーソナルコンピュータなどで自動実
行できるようになっていることによる。A second effect is that the number of man-hours for planning a production plan can be reduced. The reason is that this series of operations, which has not been automated conventionally, can be automatically executed by a personal computer or the like.
【図面の簡単な説明】[Brief description of the drawings]
【図１】 本発明の一実施形態による生産計画案簡易算
出方式の構成を示すブロック図FIG. 1 is a block diagram showing a configuration of a production plan draft simple calculation method according to an embodiment of the present invention.
【図２】 本発明の一実施形態による生産計画案簡易算
出方式の動作を説明するフローチャートFIG. 2 is a flowchart illustrating an operation of a production plan draft simple calculation method according to an embodiment of the present invention.
１ パーソナルコンピュータ ２ ホストコンピュータ等 ３ 通信回線（ＬＡＮ等） ４ プリンタ装置 ５ ディスプレイ装置 ６ キーボード装置 １１ 実績データ受信手段 １２ 実績データ更新手段 １３ 将来データ予測手段 １４ 生産計画立案手段 １５ 生産計画立案パラメータ更新手段 １６ ファイルシステム DESCRIPTION OF SYMBOLS 1 Personal computer 2 Host computer etc. 3 Communication line (LAN etc.) 4 Printer device 5 Display device 6 Keyboard device 11 Actual data receiving means 12 Actual data updating means 13 Future data prediction means 14 Production planning means 15 Production planning parameter updating means 16 File System
Claims (4)
て接続されたパーソナルコンピュータにおいて、 前記ホストコンピュータ等から最新月の出荷高実績を受
信する実績データ受信手段と、 該実績データ受信手段が受信したデータに基いて過去の
所定月分の出荷高実績データを更新する実績データ更新
手段と、 前記更新された過去の所定月分の出荷高実績データに基
づいて時系列分析手法により将来の所定月分の出荷高予
測を行う将来データ予測手段と、 特注製品比率や期末基準在庫高等のパラメータを設定、
更新する生産計画パラメータ更新手段と、 前記将来データ予測手段による将来の出荷高予測と前記
生産計画パラメータ更新手段によって設定された前記パ
ラメータとから生産計画を立案する生産計画立案手段
と、 各データのファイリングを行うファイルシステムと、 を具備してなる生産計画案簡易算出方式1. A personal computer connected to a host computer or the like via a communication line, wherein: a result data receiving means for receiving the latest month's shipment volume result from the host computer or the like; and data received by the result data receiving means. Means for updating the actual shipment data for a predetermined month in the past based on the actual shipment data for the predetermined month in the future based on the updated actual shipment data for the predetermined month in the past based on the updated Set future data forecasting means for forecasting shipments and parameters such as the ratio of custom-ordered products and end-of-term base inventory
A production plan parameter updating means for updating; a future shipment amount prediction by the future data prediction means; and a production plan drafting means for drafting a production plan from the parameters set by the production plan parameter updating means; and filing each data. And a file system that performs
ワーク（ＬＡＮ）であることを特徴とする請求項１に記
載の生産計画案簡易算出方式2. The production plan draft simple calculation method according to claim 1, wherein said communication line is a local area network (LAN).
り長期であることを特徴とする請求項１または２に記載
の生産計画案簡易算出方式3. The production plan draft simple calculation method according to claim 1, wherein the past predetermined month is longer than the future predetermined month.
画は、前記生産計画パラメータ更新手段によって設定さ
れたパラメータを基に生産最高負荷月から生産予定高を
前倒しし、負荷を平準化した生産計画であることを特徴
とする請求項１ないし３のいずれかに記載の生産計画案
簡易算出方式4. The production plan by the production plan drafting means is a production plan in which a scheduled production amount is advanced from a production maximum load month based on a parameter set by the production plan parameter updating means, and a load is leveled. 4. A simplified production plan draft calculation method according to claim 1, wherein:
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP607698A JPH11203361A (en) | 1998-01-14 | 1998-01-14 | System for easily calculating production schedule |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP607698A JPH11203361A (en) | 1998-01-14 | 1998-01-14 | System for easily calculating production schedule |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPH11203361A true JPH11203361A (en) | 1999-07-30 |
Family
ID=11628489
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP607698A Pending JPH11203361A (en) | 1998-01-14 | 1998-01-14 | System for easily calculating production schedule |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH11203361A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002032114A (en) * | 2000-07-18 | 2002-01-31 | Idemitsu Petrochem Co Ltd | Information transfer method and computer readable recording medium recorded with program for executing the method |
| JP2004227301A (en) * | 2003-01-23 | 2004-08-12 | Nippon Steel Corp | Shipment amount predicting device and method for product and computer readable recording medium |
| SG108883A1 (en) * | 2001-11-27 | 2005-02-28 | World Co Ltd | Sales forecasting apparatus and sales forecasting method |
| SG118166A1 (en) * | 2001-11-27 | 2006-01-27 | World Co Ltd | Goods sorting system and goods sorting method based on moving state |
-
1998
- 1998-01-14 JP JP607698A patent/JPH11203361A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002032114A (en) * | 2000-07-18 | 2002-01-31 | Idemitsu Petrochem Co Ltd | Information transfer method and computer readable recording medium recorded with program for executing the method |
| SG108883A1 (en) * | 2001-11-27 | 2005-02-28 | World Co Ltd | Sales forecasting apparatus and sales forecasting method |
| SG118166A1 (en) * | 2001-11-27 | 2006-01-27 | World Co Ltd | Goods sorting system and goods sorting method based on moving state |
| JP2004227301A (en) * | 2003-01-23 | 2004-08-12 | Nippon Steel Corp | Shipment amount predicting device and method for product and computer readable recording medium |
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