JP2004110767A

JP2004110767A - Scheduling system

Info

Publication number: JP2004110767A
Application number: JP2003142433A
Authority: JP
Inventors: Shuka Ko; 胡　修　華; Jimin Han; 范　治　民
Original assignee: KAKA KAGI KOFUN YUGENKOSHI
Current assignee: KAKA KAGI KOFUN YUGENKOSHI
Priority date: 2002-09-13
Filing date: 2003-05-20
Publication date: 2004-04-08
Also published as: TW573270B

Abstract

<P>PROBLEM TO BE SOLVED: To provide a scheduling system whereby all orders are completed before a specified delivery date. <P>SOLUTION: The system computes manufacturing time required for completing an order by a production capacity limit and a volume to be manufactured and, by the delivery date and the manufacturing time, estimates the latest possible starting time before the specified delivery date. A difference between the latest possible starting time and the specified delivery date is the manufacturing time. The system estimates the earliest possible starting time after a planned starting time by the planned starting time of a flow of production and material stock-in time. A difference between the planned starting time and the earliest possible starting time is the material stock-in time. The first production capacity in which the manufacturing equipment can be used in the production capacity limit is put into the flow of production between the time of completion after the earliest starting time and the earliest possible starting time. The first production capacity is equivalent to the volume to be manufactured. <P>COPYRIGHT: (C)2004,JPO

Description

【０００１】
【発明の属する技術分野】
本発明は、日程計画システムに関し、特に多重制限条件によって生産流れの計画を行う日程計画システムに関する。
【０００２】
【従来の技術】
どのように手元にある原料供給及び生産産能によって日程計画を立て、すべて顧客の注文を予定期限の前に完成させるのは、製造業にとって、企業競争力の鍵になり、もし製造業が原料及び生産における計画及び管理をうまく制御すれば、在庫圧力を減らし、受注を延期することを避けることができ、同時に生産コストを下げ、利益が上がる。しかし、企業間の激しい競争につれて、産品のライフタイムが短くされ、例えば、異なる規格の制定に従って、コンピュータ産品のライフサイクルの変動が非常に激しく、顧客が随時に産品を変更する可能性があり、或いは、注文した産品を取り消し、他の産品を追加することによって、生産ラインにある産品の在庫圧力を起こしやすく、或いは各産品の中に共通用の重要原料があり、もし顧客が急に注文した産品を取り消し、他の産品を追加すれば、もとの産品の在庫が上がるだけではなく、同時に新しい産品が各産品に共用される重要原料を使ってしまい、他の一つの産品の生産日程を影響し、その他の一つの産品の受注を延期することを起こす可能性があり、もし企業が顧客の注文変動をすばやく対応できなく、更に予定期限内に受注した産品の数を完成できければ、顧客が失いやすく、企業の利益に影響する。今頃の企業は、従来技術による企業資源計画システム（ＥＲＰ）を使って、原料計画及び生産計画を行い、しかし、前記原料計画及び生産計画は、原料供給と生産産能が無制限の前提のもとで注文に関する日程計画を行い、無制限の原料供給及び生産産能が現実の状態と離れ、従って、前記間違う条件で計画を立てるのは、必ず受注を延期することを起こす。
【０００３】
図１を参照するに、図１は、従来技術による生産日程計画を表す説明図であり、横軸が時間を表し、縦軸が生産工場の産能を表し、Ｃｍａｘは、前記生産工場が十分な原料を供給するもとでの最大産能を表し、企業が三つの注文Ａ、Ｂ、Ｃを受ける時に、注文Ａにとって、納期がＴ１’であり、もし注文Ａに必要される原料を得る時間Ｔ１であれば、注文ＡをＴ１−Ｔ１’の間で生産することを計画し、同様的に、注文Ｂにとって、もし納期がＴ２’であり、注文Ｂに必要される原料を得る時間Ｔ２であれば、注文ＢをＴ２−Ｔ２’の間で生産することを計画し、注文Ｃにとって、もし納期がＴ３’であり、注文Ｃに必要される原料を得る時間Ｔ３であれば、注文ＣをＴ３−Ｔ３’の間で生産することを計画し、注文Ａの納期Ｔ１’が注文Ｂの納期Ｔ２’より早く、注文Ｂの納期Ｔ２’が注文Ｃの納期Ｔ３’より早いので、日程計画の順番が注文Ａ、注文Ｂ、注文Ｃであり、しかし、実際の生産ラインの最大産能Ｃｍａｘは、もう注文ＡにＴ１−Ｔ１’の間で占用され、従来技術が産能分配による合理的な日程計画を行い、産能制限を配慮していないので、注文ＢがＴ２で産品生産を行う時に、使える産能のないのが生産問題を起こし、同様に、注文Ｃの産品生産も実際の産能上限に限られ、問題が発生する。この時、従来技術による企業資源計画システムの操作者が自身の経験によって手動の形で問題の発生する日程計画を調整し、もし同時に複数の日程計画が問題を発生すれば、操作者が調整を行う時に、調整された受注の間が互いに影響し合い、続いて問題を起こす。しかし、従来技術による企業資源計画システムは、いずれの注文が調整された後に、全体生産ラインの日程計画に対する影響を表すことができなく、ただ操作者が人工の方法によって調整するのは、時間がかかるし、一番よい生産日程計画を作ることが難しくて、その他、もし有限の原料条件を加えれば、前記日程調整がもっと複雑になる。従って、従来技術によって計画した原料計画及び生産計画が直接に使うことができず、必ず人工の方式によって調整を行い、時間と人力がかかって、間違いやすい。その他、間違う原料計画及び生産計画は、更に従来技術による企業資源計画システムが大量の未完成注文データ及び未完成原料発注データなどを記録することを起こし、上に述べた不正確データが更に企業に影響を与え、企業が目前の運営状態を誤判し、錯誤の決定を出してしまう。
【０００４】
【発明が解決しようとする課題】
本発明は、原料や産能などの多重制限条件によって生産流れの計画を行う日程計画システムを提供することを課題とする。
【０００５】
【課題を解決するための手段】
そこで、本発明者は従来の技術に見られる欠点に鑑み鋭意研究を重ねた結果、産能制限及び産品予定数によって注文を完成することに必要される製造時間を計算し、更に注文納期及び前記製造時間によって前記注文納期の前にある一番遅れ開始可能時間を推算し、前記一番遅れ開始可能時間と前記注文納期との差が前記製造時間であることと、前記生産流れの計画開始時間及び仕入れ時間によって前記計画開始時間の後ろにある一番早く開始可能時間を推算し、前記計画開始時間と前記一番早く開始可能時間との差が前記仕入れ時間であることと、前記一番早く開始時間の後ろにある完成時間と前記一番早く開始可能時間との間で、前記製造装置が前記産能制限のもとで使える第一産能を前記生産流れに入れ、前記第一産能が前記産品予定数と等しいこととを含む日程計画方法によって課題を解決できる点に着眼し、かかる知見に基づいて本発明を完成させた。
【０００６】
以下、この発明について具体的に説明する。
【０００７】
請求項１に記載する日程計画方法は、コンピュータシステムで実行される日程計画方法であって、製造装置の生産流れを計画し、完成時間で注文にある産品予定数を完成することとして使われ、前記注文が注文納期を具え、前記製造装置が産能制限を具え、前記産能制限が前記製造装置で単位時間内に生産できる最大の産品数であり、前記産品が部品表に対応され、前記部品表は、前記製造装置が前記産品を製造する時に必要される原料を規制し、前記生産流れが原料制限に対応され、前記原料制限は、前記産品予定数に必要される原料の仕入れ時間を規制し、前記仕入れ時間は、前記産品予定数に必要される原料の要求を提出してから、前記製造装置が前記産品予定数を生産するに必要される原料を得るまでの時間であり、前記日程計画方法は、前記産能制限及び前記産品予定数によって前記注文を完成することに必要される製造時間を計算し、更に前記注文納期及び前記製造時間によって前記注文納期の前にある一番遅れ開始可能時間を推算し、前記一番遅れ開始可能時間と前記注文納期との差が前記製造時間であることと、　前記生産流れの計画開始時間及び前記仕入れ時間によって前記計画開始時間の後ろにある一番早く開始可能時間を推算し、前記計画開始時間と前記一番早く開始可能時間との差が前記仕入れ時間であることと、　前記一番早く開始時間の後ろにある前記完成時間と前記一番早く開始可能時間との間で、前記製造装置が前記産能制限のもとで使える第一産能を前記生産流れに入れ、前記第一産能が前記産品予定数と等しい。
【０００８】
請求項２に記載する日程計画方法は、請求項１における第一産能を前記生産流れに入れるのは、前記一番早く開始可能時間が前記一番遅れ開始可能時間より早い時に、前記一番遅れ開始可能時間と前記注文納期との間で、前記製造装置が前記産能制限のもとで使える第二産能を前記生産流れに入れ、もし前記第二産能が前記産品予定数より小さければ、前記一番早く開始可能時間と前記一番遅く開始可能時間との間で、前記製造装置が前記産能制限のもとで使える第三産能を前記生産流れに入れ、もし前記第二産能と前記第三産能との合計が前記産品予定数より小さければ、前記注文納期の後ろにある前記完成時間と前記注文納期との間で、前記製造装置が前記産能制限のもとで使える第四産能を前記生産流れに入れるステップを含み、前記第二産能と前記第三産能と前記第四産能との合計が前記前記第一産能である。
【０００９】
請求項３に記載する日程計画方法は、請求項１における日程計画方法は、更に予定される優先順位規則によって複数の注文の優先順位を設定し、前記複数の注文の中に優先順位の一番高い注文が先に前記製造装置の生産流れに入れられるのを含む。
【００１０】
請求項４に記載する日程計画方法は、請求項３における予定される優先順位規則が各注文の注文納期であり、更に前記各注文の注文納期の前後によって、対応される優先順位を設定する。
【００１１】
請求項５に記載する日程計画方法は、請求項３における予定される優先順位規則が各注文の顧客であり、前記各注文の顧客の重要性によって前記対応される優先順位を設定する。
【００１２】
請求項６に記載する日程計画方法は、請求項１における完成時間が前記注文納期より遅れる時に、前記日程計画方法は、更に複数の処理対策を提供し、それぞれ前記産能制限或いは前記原料制限を調整することとして使われることと、前記複数の処理対策の優先順位を設定することと、判定基準を設定することと、前記複数の処理対策の優先順位によって順番に前記複数の処理対策を実行し、前記生産流れを調整し、前記完成時間と前記注文納期との間隔が前記判定基準より小さいまでに至ることとを含む。
【００１３】
請求項７に記載する日程計画方法は、請求項１における完成時間が前記注文納期より遅れ、又は、前記産品が複数の半成品から構成され、前記複数の半成品が前記製造装置によって製造される場合、前記日程計画方法は、更に前記半成品の完成時間と前記産品の開始可能時間との間に時間差があり、前記半成品の完成時間を調整することによって前記時間差を予定値より小さくさせることを含む。
【００１４】
請求項８に記載する日程計画方法は、請求項１における日程計画方法は、日程計画システムに応用され、前記日程計画システムが模擬計画システムを含み、前記模擬計画システムが調整条件によって前記生産流れを修正することとして使われ、更に模擬計画手順を実行し、前記調整条件を介して模擬生産流れを生じ、更に前記模擬生産流れと前記生産流れとの差異を出力する。
【００１５】
請求項９に記載する日程計画方法は、請求項８における調整条件が前記生産流れに対応される注文を変動することである。
【００１６】
請求項１０に記載する日程計画方法は、請求項８における調整条件が前記生産流れに対応される原料制限を変動する。
【００１７】
請求項１１に記載する日程計画方法は、請求項８における調整条件が前記生産流れに対応される産能制限を変動する。
【００１８】
請求項１２に記載する日程計画方法は、コンピュータシステムで実行される日程計画方法であって、製造装置の生産流れを計画し、完成時間で注文にある産品予定数を完成することとして使われ、前記注文が注文納期を具え、前記製造装置が産能制限を具え、前記産能制限が前記製造装置で単位時間内に生産できる最大の産品数であり、前記産品が部品表に対応され、前記部品表は、前記製造装置が前記産品を製造する時に必要される原料を規制し、前記生産流れが原料制限に対応され、前記原料制限は、前記産品予定数に必要される原料の仕入れ時間を規制し、前記仕入れ時間は、前記産品予定数に必要される原料の要求を提出してから、前記製造装置が前記産品予定数を生産するに必要される原料を得るまでの時間であり、前記日程計画方法は、前記注文納期の前にある一番遅れ開始可能時間を推算し、前記一番遅れ開始可能時間と前記注文納期との間で、前記製造装置が前記産能制限のもとで使える第一産能は、前記産品予定数と等しいことと、前記生産流れの計画開始時間及び前記仕入れ時間によって前記計画開始時間の後ろにある一番早く開始可能時間を推算し、前記計画開始時間と前記一番早く開始可能時間との差が前記仕入れ時間であることとを含み、その中、もし前記一番早く開始可能時間が前記一番遅れ開始可能時間より早ければ、前記第一産能を前記生産流れに入れ、前記完成時間が前記注文納期であり、もし前記一番遅れ開始可能時間が前記一番早く開始可能時間より早ければ、前記一番早く開始可能時間の後ろにある前記完成時間と前記一番早く開始可能時間との間隔で、前記製造装置が前記産能制限のもとで使える第二産能を前記生産流れに入れ、前記第二産能が前記産品予定数と等しい。
【００１９】
請求項１３に記載する日程計画方法は、請求項１２における日程計画方法は、更に予定される優先順位規則によって複数の注文の優先順位を設定し、前記複数の注文の中に優先順位の一番高い注文が先に前記製造装置の生産流れに入れられるのを含む。
【００２０】
請求項１４に記載する日程計画方法は、請求項１３における予定される優先順位規則が各注文の注文納期であり、更に前記各注文の注文納期の前後によって、対応される優先順位を設定する。
【００２１】
請求項１５に記載する日程計画方法は、請求項１３における予定される優先順位規則が各注文の顧客であり、前記各注文の顧客の重要性によって対応される優先順位を設定する。
【００２２】
請求項１６に記載する日程計画方法は、請求項１２における完成時間が前記注文納期より遅れる時に、前記日程計画方法は、更に複数の処理対策を提供し、それぞれ前記産能制限或いは前記原料制限を調整することとして使われることと、前記複数の処理対策の優先順位を設定することと、判定基準を設定することと、前記複数の処理対策の優先順位によって順番に前記複数の処理対策を実行し、前記生産流れを調整し、前記完成時間と前記注文納期との間隔が前記判定基準より小さいまでに至ることとを含む。
【００２３】
請求項１７に記載する日程計画方法は、請求項１２における完成時間が前記注文納期より遅れ、又は、前記産品が複数の半成品から構成され、前記複数の半成品が前記製造装置によって製造される場合、前記日程計画方法は、更に前記半成品の完成時間と前記産品の開始可能時間との間に時間差があり、前記半成品の完成時間を調整することによって前記時間差を予定値より小さくさせる。
【００２４】
請求項１８に記載する日程計画方法は、請求項１２における日程計画方法は、日程計画システムに応用され、前記日程計画システムが模擬計画システムを含み、前記模擬計画システムが調整条件によって前記生産流れを修正することとして使われ、更に模擬計画手順を実行し、前記調整条件を介して模擬生産流れを生じ、更に前記模擬生産流れと前記生産流れとの差異を出力する。
【００２５】
請求項１９に記載する日程計画方法は、請求項１８における調整条件が前記生産流れに対応される注文を変動する。
【００２６】
請求項２０に記載する日程計画方法は、請求項１８における調整条件が前記生産流れに対応される原料制限を変動することである。
【００２７】
請求項２１に記載する日程計画方法は、請求項１８における調整条件が前記生産流れに対応される産能制限を変動することである。
【００２８】
請求項２２に記載する日程計画方法は、コンピュータシステムで実行される日程計画方法であって、製造装置の生産流れを計画し、完成時間で注文にある産品予定数を完成することとして使われ、前記注文が注文納期を具え、前記製造装置が産能制限を具え、前記産能制限が前記製造装置で単位時間内に生産できる最大の産品数であり、前記産品が部品表に対応され、前記部品表は、前記製造装置が前記産品を製造する時に必要される原料を規制し、前記生産流れが原料制限に対応され、前記原料制限は、前記産品予定数に必要される原料の仕入れ時間を規制し、前記仕入れ時間は、前記産品予定数に必要される原料の要求を提出してから、前記製造装置が前記産品予定数を生産する時に必要される原料を得るまでの時間であり、前記日程計画方法は、前記注文納期の前にある一番遅れ開始可能時間を推算し、前記一番遅れ開始可能時間と前記注文納期との間で、前記製造装置が前記産能制限のもとで使える第一産能を前記生産流れに入れ、前記第一産能は、前記産品予定数と等しいことと、前記仕入れ時間及び前記一番遅れ開始可能時間によって前記産品予定数の原料を提出する時に必要される時間を推算することとを含む。
【００２９】
請求項２３に記載する日程計画方法は、請求項２２における日程計画方法は、更に予定される優先順位規則によって複数の注文の優先順位を設定し、前記複数の注文の中に優先順位の一番高い注文が先に前記製造装置の生産流れに入れられるのを含む。
【００３０】
請求項２４に記載する日程計画方法は、請求項２３における予定される優先順位規則が各注文の注文納期であり、更に前記各注文の注文納期の前後によって、対応される優先順位を設定する。
【００３１】
請求項２５に記載する日程計画方法は、請求項２３における予定される優先順位規則が各注文の顧客であり、前記各注文の顧客の重要性によって対応される優先順位を設定する。
【００３２】
請求項２６に記載する日程計画方法は、請求項２２における日程計画方法は、日程計画システムに応用され、前記日程計画システムが模擬計画システムを含み、前記模擬計画システムが調整条件によって前記生産流れを修正することとして使われ、更に模擬計画手順を実行し、前記調整条件を介して模擬生産流れを生じ、更に前記模擬生産流れと前記生産流れとの差異を出力する。
【００３３】
請求項２７に記載する日程計画方法は、コンピュータシステムで実行される日程計画方法であって、製造装置の生産流れを計画し、完成時間で注文にある産品予定数を完成することとして使われ、前記注文が注文納期を具え、前記注文納期が前記注文の生産流れに対応される完成時間より早くて、前記日程計画方法は、複数の処理対策を提供し、それぞれ前記産能制限或いは前記原料制限を調整することとして使われることと、前記複数の処理対策の優先順位を設定することと、判定基準を設定することと、前記複数の処理対策の優先順位によって順番に前記複数の処理対策を実行し、前記生産流れを調整し、前記完成時間と前記注文納期との間隔が前記判定基準より小さいまでに至る。
【００３４】
請求項２８に記載する日程計画システムは、コンピュータシステムで実行される日程計画システムであって、製造装置の生産流れを計画し、完成時間で注文にある産品予定数を完成することとして使われ、調整条件によって前記生産流れを修正することとして使われ、更に模擬計画手順を実行し、前記調整条件を介して模擬生産流れを生じ、更に前記模擬生産流れと前記生産流れとの差異を出力する模擬計画システムを含む。
【００３５】
請求項２９に記載する日程計画システムは、請求項２８における調整条件が前記生産流れに対応される注文を変動することである。
【００３６】
請求項３０に記載する日程計画システムは、請求項２８における調整条件が前記生産流れに対応される原料制限を変動することである。
【００３７】
請求項３１に記載する日程計画システムは、請求項２８における調整条件が前記生産流れに対応される産能制限を変動することである。
【００３８】
【発明の実施の形態】
本発明は、日程計画システムに関し、特に多重制限条件によって生産流れの計画を行う日程計画システムに関し、産能制限及び産品予定数によって注文を完成することに必要される製造時間を計算し、更に注文納期及び前記製造時間によって前記注文納期の前にある一番遅れ開始可能時間を推算し、前記一番遅れ開始可能時間と前記注文納期との差が前記製造時間であることと、前記生産流れの計画開始時間及び仕入れ時間によって前記計画開始時間の後ろにある一番早く開始可能時間を推算し、前記計画開始時間と前記一番早く開始可能時間との差が前記仕入れ時間であることと、前記一番早く開始時間の後ろにある完成時間と前記一番早く開始可能時間との間で、前記製造装置が前記産能制限のもとで使える第一産能を前記生産流れに入れ、前記第一産能が前記産品予定数と等しいこととによって、日程計画方法を形成する。
【００３９】
かかる日程計画システムの構造と特徴を詳述するために、具体的な実施例を挙げ、図示を参照にして以下に説明する。
【００４０】
【実施例】
図２を参照するに、図２は、本発明による日程計画システム１０のブロック図であり、日程計画システム１０は、納期回答システム１２と、資源計画システム１４と、生産計画システム１６と、模擬計画システム１８とを含む。日程計画システム１０の運用を下のように略述し、営業担当者が顧客から提供される予測注文を受ける時に（例えば、第一四半期が終わる前に、前記顧客が第二四半期の必要される産品によって第二四半期の予測注文を前記営業担当者に提供する）、営業担当者が予測注文及び目前の実際注文に関する産品数などの情報を資源計画システム１４に入力し、そして、予測注文を含む予測計画の部品表によって、必要される原料種類及びかかる購買時間を得て、購買担当者が早速前記情報を原料供給メーカに渡し、正確的な渡せる数と日付を原料供給メーカに尋ね、前記原料供給メーカから回答される渡せる数と日付が前記原料に対応される原料供給制限であり、前記購買担当者が原料供給制限を生産計画システム１６に入力し、生産計画システム１６が工場産能制限と原料供給制限によって各注文の日程計画を生じ、原料供給制限と工場産能制限を計画手順の中に入れるので、各注文の納期に対してもっと正確になり、営業担当者が注文納期の情報を顧客に渡ることができ、同時に前記注文に対応される産品数が納期回答システム１２に入力し、前記注文に対応される産品数が予測注文の産品数と比較することを行い、予測注文の産品数を修正し、そして、修正された予測注文の産品数と目前の実際注文の産品数が改めて資源計画システム１４に入力し、上に述べた操作を重複し、注文日程計画を行う。その他、本発明による日程計画システム１０は、更に模擬計画システム１８を含み、その機能については、下に述べる。計画をする過程の中で問題に逢う時に（例えば、顧客の注文取消し、顧客の臨時注文追加、或いは原料供給メーカからの供給が変動発生など）、模擬計画システム１８によって、各異動が注文の日程計画に対する影響を模擬することができる。例えば、顧客が注文を取り消す時に、前記注文に対応される原料と産能が他の注文に使われるのに変更することによって、注文遅れの数を減らすことができ、逆に、顧客が臨時注文を追加する時に、増加される注文が原料と産能を占用し、他の注文が遅れることを起こしてしまう。従って、模擬計画システム１８が作動する時に、まず目前の情報（例えば、注文、原料などの相関情報）を獲得し、変動状態によって注文或いは原料の内容を変更し、更に生産計画システム１６を介して、改めて計画し、模擬計画システム１８が模擬変動後の計画結果ともとの計画結果との差異を比較することを行い、同時にその結果を日程計画システム１０の管理者に表示し、前記管理者は、模擬計画システム１８から出力される結果によって目前の問題（例えば、顧客の注文取消し、顧客の臨時注文追加）が実際注文の日程計画に対する影響であることをわかるので、すばやく対策を採ることができる。
【００４１】
図３を参照するに、図３は、本発明による多重制限日程計画方法の流れ図であり、図２に示す日程計画システム１０に対して、主に多重制限日程計画方法によって注文の順番の計画を行い、前記多重制限日程計画方法が下のステップを含み、
ステップ１００：　スタートし、
ステップ１０２：　すべての注文をまとめて、顧客及び納期などの優先順位に従って、注文順番の操作を行い、
ステップ１０４：　産能制限を配慮しないもとで、注文の産品数を生産する製造時間を計算し、前記注文の納期（即ち、一番遅れ完成可能時間（ｌａｔｅｓｔ　ｐｏｓｓｉｂｌｅ　ｃｏｍｐｌｅｔｅ　ｔｉｍｅ，　ＬＰＣＴ））によって、製造を始める時間（即ち、一番遅れ開始可能時間（ｌａｔｅｓｔ　ｐｏｓｓｉｂｌｅ　ｓｔａｒｔ　ｔｉｍｅ，　ＬＰＳＴ））を推算し、
ステップ１０６：　原料購買時間と原料供給制限によって前記注文の一番早く開始可能時間（ｅａｒｌｉｅｓｔ　ｐｏｓｓｉｂｌｅ　ｓｔａｒｔ　ｔｉｍｅ，　ＥＰＳＴ）を推算し、更に前記製造時間を介して、対応される一番早く完成可能時間（ｅａｒｌｉｅｓｔ　ｐｏｓｓｉｂｌｅ　ｃｏｍｐｌｅｔｅ
ｔｉｍｅ，　ＥＰＣＴ）を推算し、
ステップ１０８：　産能制限を配慮して、前記注文の一番遅れ完成可能時間、一番遅れ開始可能時間、一番早く開始可能時間、一番早く完成可能時間によって、日程計画を行い、使える産能を占用し、
ステップ１１０：　最適化処理を行うか否か及び、前記注文が最適化処理を実行されたことがあるか否かを判断し、もし最適化処理が実行されたことがあれば、ステップ１１２を実行し、もし最適化処理が実行されていなくて、更に使用者が最適化処理を起動すれば、ステップ１１４を実行し、もし最適化処理が実行されていなくて、更に使用者が最適化処理を起動しなければ、ステップ１１２を実行し、
ステップ１１２：　多段階部品表の調整を実行し、最終産品の開始可能時間（ＰＳＴ）と各々の半製品の完成可能時間（ＰＣＴ）との距離を短縮し、ステップ１１８を実行し、
ステップ１１４：　前記注文が遅れるか否かを判断し、もし遅れれば、ステップ１１６を実行し、もし遅れていなければ、ステップ１１２を実行し、
ステップ１１６：　注文の最適化処理を実行し、ステップ１０４を実行し、
ステップ１１８：　終わる。
【００４２】
前記多重制限日程計画方法の運用が下のように略述し、まず目前のすべての注文をまとめ、同時に各注文の優先順位を定め、顧客の重要性、納期の優先順位、或いは注文の金額などの条件によって各注文の優先順位を定め、その中、優先順位の高い注文が先に生産ラインの生産計画に入れられ（ステップ１０２）、各々の注文にとって、納期を具え、必ずその時に前記注文に決められる産品数を顧客に渡すので、前記納期が前記注文の一番遅れ完成可能時間であり、もし前記注文の産品数を完成する必要時間によれば、前記注文の一番遅れ開始可能時間を推算することができる（ストップ１０４）。
【００４３】
図４を参照するに、図４は、本発明による多重制限計画方法を表す第一説明図である。横軸が時間を表し、縦軸が産能を表し、その中、産能上限が３であり、もし注文の納期がｔ８であり、更に前記注文の必要される数が１２であり、産能上限が３であるので、産能上限を上げない前提のもとで、四つの単位時間を必要することによって前記注文を完成し、納期ｔ８を介して一番遅れ開始可能時間を獲得できる。図４にあるｔ０が日程計画の開始する時間であり、斜線ブロックが、もうひとつ優先順位の高い注文が占用される産能であり、原料供給メーカから提供される原料数と供給時間が前記原料の供給制限であり、購買担当者が前記原料供給メーカに注文してから必要される原料数を受けるまでに仕入れ時間があり、もし前記仕入れ時間を入れれば、前記注文の一番早く開始可能時間を得ることができ、同時に産品の製造時間によって前記注文の一番早く完成可能時間を推算することができる（ステップ１０６）。
【００４４】
図５を参照するに、図５は、本発明による多重制限計画方法を表す第二説明図であり、横軸が時間を表し、縦軸が産能を表し、その中、産能上限が３であり、もしｔ０に原料供給メーカに注文すれば、前記注文の原料準備を完成する時間がｔ３であり、即ち、一番早く開始可能時間ｔ３であり、上に述べたように、産能上限をあげない前提のもとで、前記注文を完成するのが四つの単位時間を必要するので、もし前記注文がｔ３から行われれば、ｔ７に前記注文を完成することができ、即ち、一番早く完成時間がｔ７であり、上に述べた操作が産能制限を配慮しないので、産能制限を加えることによって、注文の日程計画を間違いなく正確にさせることができる。従って、本発明が上に述べたステップから得た一番遅れ完成可能時間、一番遅れ開始可能時間、一番早く開始可能時間及び一番早く完成可能時間によって日程計画を行い、まだ使える産能を占用する。
【００４５】
図６を参照するに、図６は、本発明による多重制限計画方法を表す第三説明図であり、横軸が時間を表し、縦軸が産能を表し、その中、産能上限が３であり、産能制限を加えてから産能を二つの部分にわけることができ、もし一番早く開始可能時間が一番遅れ開始可能時間より早い或いは等しいであれば、まず一番遅れ開始可能時間と一番遅れ完成可能時間との間の産能を考慮し、時間ｔ４〜ｔ６の産能が他の優先順位の高い注文に占用されるので、一番遅れ開始可能時間と一番遅れ完成可能時間との間がただ時間ｔ６〜ｔ８の産能をしか使えなくて、時間ｔ６〜ｔ８の産能が６であるので、注文に必要される数が１２であることに達することができなくて、他の使える産能を探さなければならないので、続いて、一番早く開始可能時間ｔ３と一番遅く開始可能時間ｔ４との間に使える産能が３であり、この時、前記注文が一番早く開始可能時間ｔ３と一番遅れ完成可能時間ｔ８との間に得られる産品数が９であり、前記注文に必要される数が１２であることより小さいので、一番遅れ完成可能時間ｔ８の後ろに使える産能を考慮しなければならなくて、前記注文の実際完成時間がｔ９である。もう一方、もし一番早く開始可能時間が一番遅れ開始可能時間より遅ければ、前記に必要される原料が間に合わないことを示し、必ず注文を延期することを起こし、原料が一番早く開始可能時間に準備を完成するので、前記注文が一番早く開始可能時間の後ろからまだ使える産能を探さなければならなくて、前記注文に必要される数を満たすまでに至り、上に述べたことをまとめて、ステップ１０４〜１０８を介して、注文の合理的な納期を得ることができる。
【００４６】
しかし、前記注文の合理的な納期が前記注文の予定納期より遅れるので、使用者が必要によって最適化処理（ステップ１１０）を起動するかを決め、もし使用者が前記最適化処理を起動することを決めれば、前記注文が遅れる状態になっているかを判断することを行い、もし前記注文が遅れていなければ、最適化処理を行わなくて、そうではないと、前記注文の最適化処理（ステップ１１６）を起動し、前記注文の最適化処理に関する操作が下のように述べる。各注文に対応される産品数と納期が変わらない前提のもとで、前記注文の最適化処理が原料制限及び産能制限の条件を変更することを介して、前記注文の遅れる時間を短縮し、更に予定の判定基準より小さくて、即ち、前記注文の最適化処理は、先に納期遅れの主因が原料或いは産能であることを判断し、もし原料から起こされる遅れであれば、バックアップ原料或いはバックアップ原料供給メーカを使い、原料の供給する数と時間を改善し、もし産能から起こされる遅れであれば、バックアップ工程（例えば、他の生産ライン）を使う或いは、一日の生産時間を増加することによって産能不足の問題を改善し、もし注文遅れが原料と産能と共に起こされれば、上に述べた可能の組み合わせによって遅れ時間を短縮し、更に前記予定の判定基準より小さいまでに至る。
【００４７】
上に述べた注文遅れを減らす方法は、予め定義される優先順位に対応し、例えば、原料及び産能から起こされる納期遅れを解決する方法が優先順位によってＡ１、Ａ２、Ａ３、Ａ４、Ａ５、Ａ６があり、前記注文の最適化処理がまずＡ１を採用し、更にステップ１０４〜１０８を介して、前記注文の遅れる時間が前記予定の判定基準より小さいかを判断し、もし前記注文の遅れる時間が前記予定の判定基準より小さくなければ、前記注文の最適化処理がＡ２を採用し、ステップ１０４〜１０８を介して、前記注文の遅れる時間が前記予定の判定基準より小さいかを判断し、もし前記注文の遅れる時間が前記予定の判定基準より小さければ、前記注文の最適化処理がもう完成されることを表すので、方法Ａ３〜Ａ６が前記注文の最適化処理に採用されなくて、そして、使用者が前記注文の最適化処理の結果を採用するかを決め、更に日程計画を更新する。注文が遅れていない時に、ステップ１１２を行い、多段階部品表を調整する。
【００４８】
図７を参照するに、図７は、本発明による多重制限計画方法を表す第四説明図であり、横軸に時間を表し、製品Ａが半製品Ｂ、Ｃから構成され、半製品Ｃが半製品Ｄ、Ｅから構成され、上に述べた日程計画によって前記注文の生産日程計画を得られる。その中、半製品Ｄの開始時間がＴ２であり、完成時間がＴ４であり、半製品Ｅの開始時間がＴ１であり、完成時間がＴ４であり、半製品Ｃの開始時間がＴ４であり、完成時間がＴ５であり、半製品Ｂの開始時間がＴ３であり、完成時間がＴ６であり、製品Ａの開始時間がＴ６であり、完成時間がＴ７であるので、半製品ＣがＴ５に完成される時に、半製品Ｂがまだ完成されていなくて、時間Ｔ６に至って、半製品Ｂ、Ｃによって製品Ａを生産し、更に時間Ｔ７に完成する。図７に示すように、半製品Ｃが完成される時に、必ず時間間隔ｄＴを待ってから、半製品Ｂと一緒に製品Ａを生産することとして使われ、従って、時間Ｔ５〜Ｔ６の間が半製品Ｃの在庫累積を起こし、半製品Ｃ及び関する半製品Ｄ、Ｅの日程計画をｄＴに移動し、半製品Ｃの在庫累積を避け、前記多段階部品表を介して調整される日程計画が図７に示す斜線部分である。
【００４９】
もしステップ１０４で同時に産能制限を考慮すれば、本発明の目的に達することができ、その操作が下のように略述する。図４を例として、もし注文の納期ｔ８から一番遅れ開始可能時間を推算し、産能制限を考慮するので、前記注文の占用できる産能が時間ｔ２〜ｔ４及びｔ６〜ｔ８であり、しかし、前述した説明がわかり、前記注文の一番早く開始時間がｔ３であり、ｔ２より遅れるので、前記注文が時間ｔ２〜ｔ４に占用される産能が、調整される必要があり、時間ｔ２〜ｔ３に計画される産能を納期ｔ８の後ろに調整され、最後は、図６に示す生産日程計画を得られ、それらが本発明による範囲である。
【００５０】
この実施例の中で、前記多重制限日程計画方法が先に原料制限を考慮し、更に産能制限を考慮するので、原料計画を重視する産業（例えば、電子組立て産業）に適し、その原料コストが運営コストの非常に高い比例を占め、更に各工場の生産数が原料供給に決められ、装置産能ではないので、予めよい原料制限の計画をしなければならなくて、先に原料の影響を考慮し、必要される原料が揃ってから産能計画を行い始まる。しかし、前記多重制限日程計画方法もまず産能制限を考慮し、次に原料制限を考慮することができ、産能計画を重視する産業（例えば、半導体産業）に適し、産能利用率が優先的に配慮されるので、予めよい産能制限の計画をしなければならなくて、工場装置の利用率を上げることが目標とし、そして、必要される産能によって原料を決め、更に原料制限を介して、前記原料を得る相関時間の制限条件を決める。例えば、まず産能制限によって工場で各注文に対する産能計画を計画し、各々の時間点の産能に対して、必要される原料数を得られ、そして、原料制限によって前記原料がいつ入庫するかを決めることができる。従って、異なる産業が異なる制限条件によって優先順位を考慮し、必要に合う計画を行う。
【００５１】
【発明の効果】
従来技術と比べて、本発明による日程計画システムが多重制限日程計画方法によって注文に対応される生産日程計画を行い、前記多重制限日程計画方法が原料制限と産能制限などの異なる制限条件を考慮することによって日程計画を行い、もし注文の完成時間が予定納期より遅れれば、使用者が必要によって最適化処理を行うことができ、前記最適化処理がまず遅れに起こされる原料要素或いは産能要素を取り出し、更に原料要素或いは産能要素に対応される各解決方法の優先順位によって前記解決方法を実行し、注文遅れを予定の判定基準より小さくさせることに至り、そして、使用者は、調整される生産計画によってもとの生産計画を更新するかを判断する。その他、本発明による日程計画システムを実行し、問題を遭う時に、前記使用者は模擬計画システムによって前記問題の起こされる影響を模擬することができ、模擬前と模擬後の差異レポートを生じ、管理者が前記差異レポートによって即時に適切な決定を下ることができる。従って、本発明による日程計画システムは、合理的な原料及び生産計画を生じることができ、同時に顧客に指定される注文納期に正確的にものを完成し、企業競争力が上がる。
【図面の簡単な説明】
【図１】従来技術による生産日程計画を表す説明図である。
【図２】本発明による日程計画システムのブロック図である。
【図３】本発明による多重制限日程計画方法の流れ図である。
【図４】本発明による多重制限計画方法を表す第一説明図である。
【図５】本発明による多重制限計画方法を表す第二説明図である。
【図６】本発明による多重制限計画方法を表す第三説明図である。
【図７】本発明による多重制限計画方法を表す第四説明図である。
【符号の説明】
１０　日程計画システム
１２　納期回答システム
１４　資源計画システム
１６　生産計画システム
１８　模擬計画システム[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a scheduling system, and more particularly to a scheduling system for planning a production flow under multiple restriction conditions.
[0002]
[Prior art]
Scheduling how the raw material supply and production capacity is at hand and completing all customer orders before the due date is a key to the competitiveness of the manufacturing industry, and if the manufacturing industry Good control over production planning and management can reduce inventory pressure and avoid delays in receiving orders, while lowering production costs and increasing profits. However, with the fierce competition between companies, the life time of products is shortened, for example, according to the establishment of different standards, the life cycle of computer products is very volatile, and customers may change products at any time, Alternatively, canceling the ordered product and adding another product is likely to cause inventory pressure on the product on the production line, or if there is a common important raw material in each product and the customer has ordered suddenly Canceling a product and adding another product not only raises the stock of the original product, but also causes the new product to use important raw materials that are shared by each product, thus reducing the production schedule of the other product. And delay the ordering of one other product, if the company is unable to respond quickly to customer order fluctuations, and If Kikere was the number of products in the finished, the customer is likely to lose, affects the interests of the company. Nowadays companies use the prior art enterprise resource planning system (ERP) to perform raw material planning and production planning, but the raw material planning and production planning is based on the assumption that raw material supply and production capacity are unlimited. Scheduling an order, unlimited raw material supply and production capacity deviate from the real world, and thus planning under the wrong conditions always results in postponement of the order.
[0003]
Referring to FIG. 1, FIG. 1 is an explanatory diagram showing a production schedule plan according to the prior art, in which the horizontal axis represents time, the vertical axis represents the production capacity of a production plant, and Cmax represents that the production plant has sufficient capacity. Represents the maximum production capacity under the supply of raw materials, and when a company receives three orders A, B, and C, the delivery date is T1 'for order A, and if the time required to obtain the raw materials required for order A is T1' If so, plan order A to be produced between T1 and T1 ', and similarly for order B, if the delivery date is T2' and the time T2 to obtain the ingredients needed for order B For example, if order B is planned to be produced between T2 and T2 ′, and order C is ordered T3 ′ if the delivery date is T3 ′ and time T3 to obtain the ingredients needed for order C, then Planning to produce during T3 ', the delivery date T1' of order A is the delivery date T2 of order B Since 'earlier, delivery time T2 of order B' is earlier than delivery time T3 'of order C, the order of scheduling is order A, order B, order C, but the maximum production capacity Cmax of the actual production line is no more. Since the order A is occupied between T1 and T1 'and the prior art does a reasonable schedule by distributing the production and does not consider the restriction on the production, the production that can be used when the order B performs the production of the product at T2 is not considered. The absence of the order causes a production problem, and similarly, the production of products of order C is limited to the actual upper limit of the production capacity, and a problem occurs. At this time, the operator of the conventional enterprise resource planning system manually adjusts the schedule in which the problem occurs, based on his / her own experience. In doing so, the adjusted ordering affects each other and subsequently causes problems. However, the prior art enterprise resource planning system cannot represent the impact on the scheduling of the entire production line after any order has been adjusted, and it takes time for the operator to make adjustments by artificial methods. Thus, it is difficult to make the best production schedule, and if the finite raw material conditions are added, the scheduling becomes more complicated. Therefore, the raw material plan and the production plan planned according to the prior art cannot be directly used, and the adjustment is always performed by an artificial method, which takes time and manpower, and is easy to be mistaken. In addition, incorrect raw material planning and production planning may also cause the conventional enterprise resource planning system to record a large amount of unfinished order data and unfinished raw material ordering data, etc. Affecting them, companies misinterpret the state of operation at hand and make a mistake.
[0004]
[Problems to be solved by the invention]
An object of the present invention is to provide a schedule planning system for planning a production flow under multiple restriction conditions such as raw materials and production capacity.
[0005]
[Means for Solving the Problems]
Therefore, the present inventor has conducted intensive studies in view of the drawbacks found in the conventional technology, and as a result, calculated the production time required to complete the order based on the production capacity limitation and the planned number of products, furthermore, the order delivery date and the production time. By estimating the latest possible start time before the order due date by the time, the difference between the latest possible start time and the order due date is the manufacturing time, the planned start time of the production flow and Estimating the earliest possible start time behind the planned start time by the purchase time, the difference between the planned start time and the earliest possible start time is the purchase time, and the earliest start time Between the completion time after the time and the earliest possible start time, the manufacturing apparatus puts the first production capacity that can be used under the production capacity restriction into the production flow, and the first production capacity is the product schedule. number It focuses on the point that can solve the problem by scheduling method comprising the equal, and completed the present invention based on this finding.
[0006]
Hereinafter, the present invention will be described specifically.
[0007]
The scheduling method according to claim 1 is a scheduling method executed by a computer system, wherein the scheduling method is used to plan a production flow of a manufacturing apparatus and complete a scheduled product quantity in an order at a completion time. The order has an order delivery date, the manufacturing device has a production limit, the production limit is the maximum number of products that can be produced in the manufacturing device in a unit time, and the product corresponds to a bill of materials. Regulates the raw materials required when the manufacturing apparatus manufactures the product, the production flow corresponds to the raw material restriction, and the raw material restriction regulates the raw material purchasing time required for the planned number of products. , The purchasing time is a time from submitting a request for raw materials required for the planned number of products, to obtaining the raw materials required for the manufacturing apparatus to produce the planned number of products, and One Calculates the manufacturing time required to complete the order based on the production limit and the expected number of products, and further calculates the latest delay start time before the order delivery date according to the order delivery date and the manufacturing time. Estimate, the difference between the latest possible start time and the order delivery time is the manufacturing time, and the earliest start after the planned start time by the planned start time and the purchase time of the production flow The available time is estimated, and the difference between the planned start time and the earliest possible start time is the purchase time, and the completion time and the earliest possible start after the earliest start time Between the time, the production equipment puts into the production flow a first production capacity that can be used under the production restriction, and the first production capacity is equal to the planned number of products.
[0008]
In the schedule planning method according to claim 2, the first production capacity in claim 1 is included in the production flow when the earliest possible start time is earlier than the latest start possible time. Between the startable time and the order delivery date, the manufacturing apparatus puts a second production available to the production flow under the production restriction into the production flow, and if the second production is smaller than the expected number of products, Between the earliest startable time and the latest startable time, the manufacturing apparatus puts a third production capacity that can be used under the production restriction into the production flow, if the second production capacity and the third production capacity are used. Is smaller than the expected number of products, the fourth production capacity that can be used by the manufacturing apparatus under the production capacity limitation between the completion time and the order delivery time after the order delivery date is produced by the production flow. Including the step of The sum of the two production capacity and the third producing ability fourth production capacity is the said first producing ability.
[0009]
According to a third aspect of the present invention, there is provided the scheduling method according to the first aspect, wherein priorities of a plurality of orders are further set according to a scheduled priority rule, and the highest priority is set among the plurality of orders. Includes high orders being placed first in the production stream of the manufacturing equipment.
[0010]
According to a fourth aspect of the present invention, the scheduled priority rule according to the third aspect is the order delivery date of each order, and a corresponding priority is set according to before and after the order delivery date of each order.
[0011]
In the scheduling method described in claim 5, the scheduled priority rule in claim 3 is a customer of each order, and the corresponding priority is set according to the importance of the customer of each order.
[0012]
The scheduling method according to claim 6, wherein when the completion time in claim 1 is later than the order delivery date, the scheduling method further provides a plurality of processing measures and adjusts the production capacity limitation or the material limitation, respectively. To be used as, and setting the priorities of the plurality of processing measures, setting a determination criterion, and executing the plurality of processing measures in order according to the priority order of the plurality of processing measures, Adjusting the production flow until the interval between the completion time and the order due date is less than the criterion.
[0013]
The schedule planning method according to claim 7, wherein the completion time in claim 1 is later than the order delivery date, or the product is composed of a plurality of semi-finished products, and the plurality of semi-finished products are manufactured by the manufacturing apparatus. The scheduling method further includes adjusting the completion time of the semi-finished product to have a time difference between the completion time of the semi-finished product and the startable time of the product so that the time difference is smaller than a predetermined value.
[0014]
The schedule planning method according to claim 8 is applied to a schedule planning system, wherein the schedule planning system includes a simulation planning system, and the simulation planning system controls the production flow according to adjustment conditions. Used as a modification, it further executes a simulation planning procedure, generates a simulation production flow via the adjustment conditions, and outputs the difference between the simulation production flow and the production flow.
[0015]
According to a ninth aspect of the present invention, the adjustment condition according to the eighth aspect is that the order corresponding to the production flow is changed.
[0016]
In the schedule planning method according to the tenth aspect, the adjustment condition in the eighth aspect varies the raw material limit corresponding to the production flow.
[0017]
In the schedule planning method according to the eleventh aspect, the adjustment condition in the eighth aspect varies the production capacity limit corresponding to the production flow.
[0018]
The scheduling method according to claim 12, wherein the scheduling method is executed by a computer system, wherein the scheduling method is used to plan a production flow of a manufacturing apparatus and complete a scheduled product quantity in an order at a completion time. The order has an order delivery date, the manufacturing device has a production limit, the production limit is the maximum number of products that can be produced in the manufacturing device in a unit time, and the product corresponds to a bill of materials. Regulates the raw materials required when the manufacturing apparatus manufactures the product, the production flow corresponds to the raw material restriction, and the raw material restriction regulates the raw material purchasing time required for the planned number of products. , The purchasing time is a time from submitting a request for raw materials required for the planned number of products, to obtaining the raw materials required for the manufacturing apparatus to produce the planned number of products, and The method estimates the latest possible start time before the order delivery date, and between the latest delay possible time and the order delivery date, the first that the manufacturing apparatus can be used under the productivity limitation. Productivity is estimated to be the same as the expected number of products, and to estimate the earliest possible start time after the planned start time based on the planned start time and the purchase time of the production flow. The difference between the early startable time and the early startable time includes the purchase time, and if the earliest startable time is earlier than the latest startable time, the first productivity is added to the production flow. Put, the completion time is the order delivery date, and if the earliest start time is earlier than the earliest start time, the completion time and the earliest after the earliest start time are Can start early At intervals and between, put a second production ability the manufacturing apparatus can be used under the production capacity limit to the production stream, said second producing ability is equal to the products expected number.
[0019]
A scheduling method according to a thirteenth aspect of the present invention is the scheduling method according to the twelfth aspect, wherein priorities of a plurality of orders are further set according to a priority rule to be scheduled, and the highest priority among the plurality of orders is set. Includes high orders being placed first in the production stream of the manufacturing equipment.
[0020]
In the scheduling method described in claim 14, the scheduled priority rule in claim 13 is the order delivery date of each order, and further, a corresponding priority is set according to before and after the order delivery date of each order.
[0021]
In a scheduling method according to a fifteenth aspect, the scheduled priority rule in the thirteenth aspect is a customer of each order, and sets a priority corresponding to the importance of the customer of each order.
[0022]
The scheduling method described in claim 16 is the method according to claim 12, wherein when the completion time is later than the order delivery date, the scheduling method further provides a plurality of processing measures and adjusts the production limit or the raw material limit, respectively. To be used as, and setting the priorities of the plurality of processing measures, setting a determination criterion, and executing the plurality of processing measures in order according to the priority order of the plurality of processing measures, Adjusting the production flow until the interval between the completion time and the order due date is less than the criterion.
[0023]
The scheduling method according to claim 17, wherein the completion time in claim 12 is later than the order delivery date, or the product is composed of a plurality of semi-finished products, and the plurality of semi-finished products are manufactured by the manufacturing apparatus, The schedule planning method further includes a time difference between the completion time of the semi-finished product and the startable time of the product, and adjusts the completion time of the semi-finished product to make the time difference smaller than a predetermined value.
[0024]
The scheduling method according to claim 18 is the method according to claim 12, which is applied to a scheduling system, wherein the scheduling system includes a simulation planning system, and the simulation planning system controls the production flow according to adjustment conditions. Used as a modification, it further executes a simulation planning procedure, generates a simulation production flow via the adjustment conditions, and outputs the difference between the simulation production flow and the production flow.
[0025]
In the scheduling method according to the nineteenth aspect, the adjustment condition in the eighteenth aspect changes the order corresponding to the production flow.
[0026]
According to a twentieth aspect of the present invention, the adjustment condition according to the eighteenth aspect is that the raw material limit corresponding to the production flow is changed.
[0027]
A scheduling method according to a twenty-first aspect is that the adjustment condition according to the eighteenth aspect changes the production capacity limit corresponding to the production flow.
[0028]
23. The scheduling method according to claim 22, wherein the scheduling method is executed by a computer system, wherein the scheduling method is used to plan a production flow of a manufacturing apparatus, and to complete an expected number of products in an order at a completion time. The order has an order delivery date, the manufacturing device has a production limit, the production limit is the maximum number of products that can be produced in the manufacturing device in a unit time, and the product corresponds to a bill of materials. Regulates the raw materials required when the manufacturing apparatus manufactures the product, the production flow corresponds to the raw material restriction, and the raw material restriction regulates the raw material purchasing time required for the planned number of products. The purchase time is the time from the submission of a request for raw materials required for the planned number of products to the time when the manufacturing apparatus obtains the raw materials required for producing the planned number of products, and the schedule The method includes estimating a latest delay start time before the order delivery date, and between the latest delay start time and the order delivery date, the first time the manufacturing apparatus can be used under the production limitation. Put the production capacity into the production flow, the first production capacity is equal to the planned production quantity, and the time required for submitting the planned production quantity of raw materials according to the purchase time and the latest possible start time. Estimating.
[0029]
The scheduling method described in claim 23 is the scheduling method according to claim 22, wherein priorities of a plurality of orders are set according to a priority rule to be further scheduled, and the highest priority is set in the plurality of orders. Includes high orders being placed first in the production stream of the manufacturing equipment.
[0030]
In the scheduling method described in claim 24, the scheduled priority rule in claim 23 is the order due date of each order, and further, a corresponding priority is set according to before and after the order due date of each order.
[0031]
In the scheduling method described in claim 25, the scheduled priority rule in claim 23 is a customer of each order, and sets a priority corresponding to the importance of the customer of each order.
[0032]
The scheduling method according to claim 26 is applied to a scheduling system, wherein the scheduling system includes a simulation planning system, and the simulation planning system controls the production flow according to adjustment conditions. Used as a modification, it further executes a simulation planning procedure, generates a simulation production flow via the adjustment conditions, and outputs the difference between the simulation production flow and the production flow.
[0033]
29. The scheduling method according to claim 27, wherein the scheduling method is executed by a computer system, wherein the scheduling method is used as planning a production flow of a manufacturing apparatus and completing a scheduled product quantity in an order at a completion time; The order has an order deadline, the order deadline is earlier than the completion time corresponding to the production flow of the order, and the scheduling method provides a plurality of processing measures, respectively, the production limit or the raw material limit. To be used as adjusting, setting priorities of the plurality of processing measures, setting a determination criterion, and executing the plurality of processing measures in order according to the priority order of the plurality of processing measures. Adjusting the production flow until the interval between the completion time and the order delivery date is smaller than the criterion.
[0034]
29. The scheduling system according to claim 28, which is a scheduling system executed by a computer system, wherein the scheduling system is used for planning a production flow of a manufacturing apparatus and completing an expected number of products in an order with a completion time. A simulation that is used as modifying the production flow according to adjustment conditions, further executes a simulation planning procedure, generates a simulation production flow through the adjustment conditions, and further outputs a difference between the simulation production flow and the production flow. Includes planning system.
[0035]
In the scheduling system according to claim 29, the adjustment condition in claim 28 is that the order corresponding to the production flow is changed.
[0036]
In the scheduling system described in claim 30, the adjustment condition according to claim 28 is that the raw material limit corresponding to the production flow is changed.
[0037]
According to a thirty-first aspect of the present invention, the adjustment condition according to the twenty-eighth aspect is that the adjustment condition fluctuates a production capacity limit corresponding to the production flow.
[0038]
BEST MODE FOR CARRYING OUT THE INVENTION
The present invention relates to a scheduling system, and more particularly to a scheduling system for planning a production flow under multiple restriction conditions, and calculates a production time required to complete an order based on a production limit and a planned number of products, and furthermore, an order delivery time. And estimating the latest delay start time before the order delivery date by the manufacturing time, and that the difference between the latest delay start time and the order delivery time is the manufacturing time, and planning the production flow. Estimating the earliest possible start time behind the planned start time based on the start time and the purchase time, and determining that the difference between the planned start time and the earliest possible start time is the purchase time; Between the completion time after the earliest start time and the earliest possible start time, the production equipment enters the production flow that can be used under the production restriction into the production flow. The first production ability by the equal and the products expected number, to form a scheduling method.
[0039]
In order to detail the structure and features of such a schedule planning system, a specific embodiment will be described below with reference to the drawings.
[0040]
【Example】
Referring to FIG. 2, FIG. 2 is a block diagram of a schedule planning system 10 according to the present invention. The schedule planning system 10 includes a delivery date answering system 12, a resource planning system 14, a production planning system 16, a simulation plan. System 18. The operation of the scheduling system 10 is outlined below and when a sales representative receives a predicted order provided by a customer (eg, before the end of the first quarter, the customer Providing the sales representative with a second quarter forecast order depending on the product required), the sales representative enters information such as the number of products regarding the forecast order and the actual order at hand into the resource planning system 14, Then, based on the bill of material of the forecast plan including the forecast order, the necessary material type and the purchase time are obtained, and the purchaser immediately sends the information to the material supplier, and supplies the accurate number and date to be supplied to the material supplier. The number and date that can be passed to the manufacturer and answered by the raw material supply manufacturer are the raw material supply restrictions corresponding to the raw materials, and the purchaser inputs the raw material supply restrictions to the production planning system 16 and the production planning system 16 will be able to schedule each order according to factory production limits and raw material supply limits, and include raw material supply limits and factory production limits in the planning process, so that each sales order will be more accurate, The order delivery date information can be passed to the customer, and at the same time, the number of products corresponding to the order is input to the delivery date response system 12, and the number of products corresponding to the order is compared with the number of products of the predicted order. The number of products of the forecasted order is corrected, and the number of products of the corrected forecasted order and the number of products of the current actual order are input to the resource planning system 14 again, and the operations described above are duplicated and the order scheduling is performed. I do. In addition, the scheduling system 10 according to the present invention further includes a simulation planning system 18, the functions of which are described below. When a problem is encountered in the planning process (e.g., customer order cancellation, customer temporary order addition, or supply fluctuations from the raw material supplier), each change is made by the simulated planning system 18 to the order schedule. Simulate the impact on the plan. For example, when a customer cancels an order, the number of order delays can be reduced by changing the raw materials and production capacity corresponding to the order to be used for another order, and conversely, the customer can cancel the temporary order. When adding, the increased orders occupy raw materials and production capacity, causing other orders to be delayed. Therefore, when the simulation planning system 18 operates, first, the information at hand (for example, correlation information of orders, raw materials, etc.) is obtained, the contents of the orders or raw materials are changed according to the fluctuation state, and further, via the production planning system 16. The simulation plan system 18 compares the difference between the planned result after the simulated change and the original plan result, and simultaneously displays the result to the manager of the schedule planning system 10. Since the result output from the simulation planning system 18 indicates that the problem at hand (for example, cancellation of a customer order or addition of a temporary order of a customer) is an influence on the scheduling of an actual order, it is possible to quickly take a countermeasure. .
[0041]
Referring to FIG. 3, FIG. 3 is a flow chart of the multiple restriction schedule planning method according to the present invention. The order planning of the order is mainly performed by the multiple restriction schedule planning method for the scheduling system 10 shown in FIG. Performing, wherein the multiple limit scheduling method comprises the following steps:
Step 100: Start,
Step 102: All orders are put together, and the order of operations is performed according to the priority such as customer and delivery date.
Step 104: Calculate the manufacturing time for producing the number of products of the order without considering the production capacity limitation, and manufacture according to the delivery date of the order (ie, the latest possible complete time (LPCT)). (I.e., the latest possible start time (LPST))
Step 106: Estimate the earliest possible start time (EPST) of the order according to the raw material purchasing time and the raw material supply restriction, and further, the corresponding earliest possible completion time (EPST) through the manufacturing time. earlyest possible complete
time, EPCT)
Step 108: Taking into account the restriction on production capacity, schedule the order according to the latest possible completion time, the latest possible start time, the earliest possible start time, and the earliest possible completion time of the order, and determine the available productivity. Private use,
Step 110: Determine whether or not to perform the optimization process and whether or not the order has been subjected to the optimization process. If the optimization process has been performed, execute the step 112. If the optimization process has not been executed and the user further activates the optimization process, step 114 is executed. If the optimization process has not been executed and the user further executes the optimization process. If not, execute step 112,
Step 112: Perform a multi-stage bill of material adjustment to reduce the distance between the possible start time (PST) of the final product and the possible completion time (PCT) of each semi-finished product, perform step 118,
Step 114: Determine whether the order is delayed, if so, execute step 116; if not, execute step 112;
Step 116: Execute the order optimization process, execute Step 104,
Step 118: End.
[0042]
The operation of the multiple limit scheduling method is outlined as follows, first, all the current orders are put together, the priority of each order is set at the same time, the importance of the customer, the priority of the delivery date, the amount of the order, etc. The priority of each order is determined according to the following conditions. Among them, the order with the highest priority is put into the production plan of the production line first (step 102), and each order has a delivery date. Since the determined number of products is passed to the customer, the delivery date is the latest possible completion time of the order, and according to the time required to complete the number of products of the order, the latest possible start time of the order is An estimate can be made (stop 104).
[0043]
Referring to FIG. 4, FIG. 4 is a first explanatory diagram showing a multiple restriction planning method according to the present invention. The horizontal axis represents time, the vertical axis represents productivity, wherein the upper limit of performance is 3, if the delivery date of the order is t8, the required number of orders is 12, and the upper limit of performance is 3 Therefore, under the premise that the upper limit of the production capacity is not increased, the order is completed by requiring four unit times, and the latest possible start time can be obtained via the delivery date t8. In FIG. 4, t0 is the time at which the scheduling is started, and the hatched block is the production capacity in which another high-priority order is occupied. It is a supply limit, there is a purchase time from the purchaser ordering the raw material supplier to receiving the required number of raw materials, and if the purchase time is included, the earliest possible start time of the order is And at the same time, the earliest possible completion time of the order can be estimated from the production time of the product (step 106).
[0044]
Referring to FIG. 5, FIG. 5 is a second explanatory diagram showing the multiple restriction planning method according to the present invention, wherein the horizontal axis represents time, the vertical axis represents productivity, wherein the upper limit of productivity is three. If an order is made to a raw material supplier at t0, the time to complete the raw material preparation for the order is t3, that is, the earliest possible start time t3, and as described above, the upper limit of the production capacity is not increased. Based on the premise, completing the order requires four unit times, so if the order is made from t3, the order can be completed at t7, ie the earliest completion time Is t7, and since the above-mentioned operation does not consider the production capacity limitation, by adding the production capacity restriction, the scheduling of the order can be definitely made accurate. Therefore, the present invention schedules the latest possible completion time, the latest possible start time, the earliest possible start time, and the earliest possible completion time obtained from the above-described steps, and determines the productivity that can still be used. To occupy.
[0045]
Referring to FIG. 6, FIG. 6 is a third explanatory view showing the multiple restriction planning method according to the present invention, wherein the horizontal axis represents time, the vertical axis represents productivity, wherein the upper limit of productivity is 3. , After adding the capacity limit, the capacity can be divided into two parts, and if the earliest possible start time is earlier than or equal to the latest start possible time, In consideration of the productivity between the delay completion possible time and the production performance from time t4 to t6 is occupied by other high-priority orders, the time between the latest delay start possible time and the latest delay completion possible time is different. However, since only the production capacity from time t6 to t8 can be used and the production capacity from time t6 to t8 is 6, the number required for the order cannot reach 12 and the other available production capacity is searched. And then the earliest possible start time t3 The number of products that can be used between the latest possible start time t4 is 3, and the number of products that can be obtained between the earliest possible start time t3 and the latest possible finish time t8 is 9 at this time. Yes, since the number required for the order is less than 12, the available capacity after the latest possible completion time t8 must be considered, and the actual completion time of the order is t9. On the other hand, if the earliest possible start time is later than the earliest possible start time, it indicates that the required ingredients are not in time, causing the order to be postponed, and the raw materials can start earlier. Since the preparation is completed on time, the order has to find the still usable capacity from behind the earliest possible start time, and has reached the number required for the order, Collectively, a reasonable delivery date of the order can be obtained via steps 104-108.
[0046]
However, since the reasonable delivery date of the order is later than the scheduled delivery date of the order, the user decides whether to activate the optimization process (step 110) if necessary, and the user activates the optimization process. Is determined, it is determined whether or not the order is delayed. If the order is not delayed, the optimization process is not performed. Otherwise, the optimization process of the order (step 116), and the operation related to the order optimization processing is described as follows. Under the premise that the number of products and delivery time corresponding to each order do not change, the optimization process of the order shortens the delay time of the order through changing the conditions of raw material limitation and production limitation, Furthermore, when the order is smaller than the predetermined criterion, that is, the order optimization process first determines that the main cause of the delivery delay is raw material or productivity, and if the delay caused by the raw material is a backup raw material or backup, Use a raw material supplier to improve the number and time of raw material supply, and use a backup process (for example, another production line) if the delay is caused by production capacity, or increase the daily production time. In order to improve the problem of shortage of production capacity, if the order delay is caused by the raw material and production capacity, the delay time can be shortened by the combination of the above-mentioned possibilities, and furthermore, the predetermined judgment criteria Leading to to a smaller.
[0047]
The above-described method of reducing the order delay corresponds to a predefined priority, and for example, the method of solving the delivery delay caused by the raw material and the productivity is determined by the priority according to A1, A2, A3, A4, A5, A6. The order optimizing process first employs A1, and further determines, through steps 104 to 108, whether the order delay time is less than the predetermined criterion. If not less than the predetermined criterion, the order optimization process adopts A2, and through steps 104 to 108, determines whether the delay time of the order is smaller than the predetermined criterion. If the delay time of the order is smaller than the predetermined criterion, it indicates that the optimization processing of the order is already completed. Therefore, the methods A3 to A6 are adopted in the optimization processing of the order. Not be, and, decide whether the user to adopt the results of the optimization process of the order, further to update the schedule. If the order has not been delayed, step 112 is performed to adjust the multi-stage bill of materials.
[0048]
Referring to FIG. 7, FIG. 7 is a fourth explanatory diagram showing the multiple restriction planning method according to the present invention, in which the horizontal axis represents time, and product A is composed of semi-finished products B and C, and semi-finished product C is Consisting of semi-finished products D and E, the above-mentioned scheduling gives the production scheduling of the order. The start time of the semi-finished product D is T2, the completion time is T4, the start time of the semi-finished product E is T1, the completion time is T4, and the start time of the semi-finished product C is T4, Since the completion time is T5, the start time of the semi-finished product B is T3, the completion time is T6, the start time of the product A is T6, and the completion time is T7, the semi-finished product C is completed at T5. At this time, the semi-finished product B has not been completed yet, and at the time T6, the semi-finished products B and C produce the product A, which is further completed at the time T7. As shown in FIG. 7, when the semi-finished product C is completed, it is used to produce the product A together with the semi-finished product B after waiting for the time interval dT, and therefore, the time between the time T5 and the time T6. Causing the stock accumulation of the semi-finished product C, moving the scheduling of the semi-finished product C and the related semi-finished products D and E to dT, avoiding the stock accumulation of the semi-finished product C, and adjusting the scheduling through the multi-stage bill of material. Are hatched portions shown in FIG.
[0049]
If the production limitations are taken into account at the same time in step 104, the object of the present invention can be reached, the operation of which is outlined below. In FIG. 4 as an example, if the latest possible start time is estimated from the delivery date t8 of the order and the production limitation is taken into account, the occupied production abilities of the order are the times t2 to t4 and t6 to t8. It is understood that the start time of the order is the earliest start time t3 and is later than the time t2. Therefore, the productivity in which the order is occupied at the time t2 to t4 needs to be adjusted, and the order is planned at the time t2 to t3. The production capacity to be adjusted is adjusted after the delivery time t8, and finally, the production schedule shown in FIG. 6 is obtained, which is in the range according to the present invention.
[0050]
In this embodiment, since the multiple restriction schedule planning method considers the raw material restriction first and further considers the production capacity restriction, it is suitable for an industry that places importance on the raw material planning (for example, the electronic assembly industry), and the raw material cost is reduced. It occupies a very high proportion of operating costs, and the number of productions at each factory is determined by the supply of raw materials, and it is not equipment production. After the necessary raw materials are prepared, a production plan is started. However, the multiple restriction schedule planning method can also consider the restriction on the production capacity first, and then consider the restriction on the raw material, which is suitable for industries (for example, the semiconductor industry) that value production planning, and the production utilization rate is given priority. Therefore, it is necessary to plan a good production limit in advance, aim to increase the utilization rate of factory equipment, and determine the raw material according to the required production capacity, and further, through the raw material restriction, Is determined for the correlation time. For example, first, the factory plans the production plan for each order by the production restriction, obtains the required number of raw materials for the production at each time point, and determines when the raw material is received by the raw material restriction. be able to. Therefore, different industries consider priorities according to different restrictions and make plans that meet their needs.
[0051]
【The invention's effect】
Compared with the prior art, the scheduling system according to the present invention performs the production schedule corresponding to the order by the multiple restriction scheduling method, and the multiple restriction scheduling method considers different restriction conditions such as raw material restriction and production restriction. By doing so, if the completion time of the order is later than the expected delivery date, the user can perform the optimization process as needed, and the optimization process first takes out the raw material element or production element that is delayed. The solution is executed according to the priority of each solution corresponding to the raw material element or the performance element, which leads to the order delay being smaller than a predetermined criterion, and the user can adjust the production plan to be adjusted. To update the original production plan. In addition, when the user runs the scheduling system according to the present invention and encounters a problem, the user can simulate the effect of the problem by the simulation planning system, and can generate a difference report before and after the simulation and manage the difference. The user can make an appropriate decision immediately by the difference report. Therefore, the scheduling system according to the present invention can generate a reasonable raw material and production plan, and at the same time, complete the product accurately on the order delivery date specified by the customer, thereby increasing the company competitiveness.
[Brief description of the drawings]
FIG. 1 is an explanatory diagram showing a production schedule plan according to a conventional technique.
FIG. 2 is a block diagram of a scheduling system according to the present invention.
FIG. 3 is a flow chart of a multiple restriction schedule planning method according to the present invention.
FIG. 4 is a first explanatory diagram showing a multiple restriction planning method according to the present invention.
FIG. 5 is a second explanatory diagram showing the multiple restriction planning method according to the present invention.
FIG. 6 is a third explanatory diagram showing the multiple restriction planning method according to the present invention.
FIG. 7 is a fourth explanatory diagram showing the multiple restriction planning method according to the present invention.
[Explanation of symbols]
10 Scheduling system
12. Delivery date answer system
14 Resource planning system
16 Production planning system
18 Simulation planning system

Claims

A scheduling method executed by a computer system, wherein a production flow of a manufacturing apparatus is planned, and is used as a completion time to complete a planned number of products in an order. Has a production limit, the production limit is the maximum number of products that can be produced in a unit time by the manufacturing apparatus, the product corresponds to a parts list, and the parts table indicates that the manufacturing apparatus manufactures the product. Regulate the raw materials needed at times, the production flow is corresponding to the raw material restrictions, the raw material restrictions regulate the raw material purchase time required for the planned product number, the purchase time is the planned product number It is the time from submitting a required raw material request until the manufacturing apparatus obtains the raw material required to produce the expected product number, and the scheduling method is:
The production time required to complete the order is calculated based on the production limit and the expected number of products, and the latest possible start time before the order delivery time is estimated based on the order delivery time and the manufacturing time. The difference between the latest delay start time and the order delivery date is the manufacturing time,
By estimating the earliest possible start time behind the planned start time based on the planned start time and the purchase time of the production flow, the difference between the planned start time and the earliest possible start time is the purchase time. That there is
Between the completion time and the earliest possible start time after the earliest start time, the manufacturing apparatus puts into the production flow a first production capacity that can be used under the production capacity limitation, A method of planning a schedule, wherein one production capacity is equal to the expected number of products.

Putting the first productivity into the production flow is performed when the earliest possible start time is earlier than the latest delay start possible time, and between the latest start possible time and the order delivery date, the production is started. The apparatus puts a second production capacity that can be used under the production capacity limitation into the production flow, and if the second production capacity is smaller than the planned number of products, the earliest start time and the latest start time are In the meantime, the manufacturing apparatus puts a third production capacity that can be used under the production capacity restriction into the production flow, and if the total of the second production capacity and the third production capacity is smaller than the expected number of products, the order is placed. Between the completion time after the delivery date and the order delivery date, the manufacturing device includes a fourth production capability that can be used under the production restriction in the production flow, wherein the second production capability and the third production capability are included. The sum of the performance and the fourth performance is Scheduling process according to claim 1, wherein the serial is the first production ability.

The scheduling method further sets priorities of a plurality of orders according to a scheduled priority rule, and an order having the highest priority among the plurality of orders is put into a production flow of the manufacturing apparatus first. The scheduling method according to claim 1, further comprising:

4. The scheduling method according to claim 3, wherein the scheduled priority rule is an order delivery date of each order, and a corresponding priority is set before and after the order delivery date of each order.

4. The scheduling method according to claim 3, wherein the scheduled priority rule is a customer of each order, and the corresponding priority is set according to the importance of the customer of each order.

When the completion time is later than the order delivery date, the scheduling method includes:
Further providing a plurality of treatment measures, each of which may be used as adjusting the production limit or the raw material limit,
Setting priorities of the plurality of processing measures;
Setting criteria,
Executing the plurality of processing measures in order according to the priority order of the plurality of processing measures, adjusting the production flow, and leading to an interval between the completion time and the order delivery date being smaller than the determination criterion. 2. The scheduling method according to claim 1, wherein:

When the completion time is later than the order delivery date, or when the product is composed of a plurality of semi-finished products and the plurality of semi-finished products are manufactured by the manufacturing apparatus, the scheduling method further includes a completion time of the semi-finished product and the 2. The scheduling method according to claim 1, wherein there is a time difference between the start time of the product and the completion time of the semi-finished product, so that the time difference is made smaller than a predetermined value.

The scheduling method is applied to a scheduling system, wherein the scheduling system includes a simulation planning system, wherein the simulation planning system is used as modifying the production flow according to adjustment conditions, and further executes a simulation planning procedure. 2. The scheduling method according to claim 1, wherein a simulated production flow is generated through the adjustment condition, and a difference between the simulated production flow and the production flow is output.

9. The scheduling method according to claim 8, wherein the adjustment condition is to change an order corresponding to the production flow.

9. The schedule planning method according to claim 8, wherein the adjustment condition is to change a raw material limit corresponding to the production flow.

9. The scheduling method according to claim 8, wherein the adjustment condition is to change a production capacity limit corresponding to the production flow.

A scheduling method performed on a computer system, the method comprising:
Used to plan the production flow of the manufacturing equipment and complete the expected number of products in the order at the completion time, the order has an order delivery date, the manufacturing equipment has a production limit, and the production limit has the production equipment. Is the maximum number of products that can be produced within a unit time, and the products correspond to the parts list, and the parts list regulates the raw materials required when the manufacturing apparatus manufactures the products, and the production flow is Corresponding to the raw material limitation, the raw material restriction regulates the raw material supply time required for the planned product number, and the purchase time submits the raw material request required for the planned product number, It is time until the manufacturing apparatus obtains the raw materials required to produce the planned number of products, and the scheduling method is:
Estimating the latest possible start time before the order delivery date, and between the latest possible start time and the order delivery date, the first productivity that the manufacturing apparatus can use under the productivity limitation is: Equal to the expected number of products,
By estimating the earliest possible start time behind the planned start time based on the planned start time and the purchase time of the production flow, the difference between the planned start time and the earliest possible start time is the purchase time. Including that
Among them, if the earliest possible start time is earlier than the latest start possible time, the first productivity is put into the production flow, the completion time is the order delivery date, and If the possible time is earlier than the earliest possible start time, the manufacturing apparatus may limit the productivity at an interval between the completion time and the earliest possible start time after the earliest possible start time. A second production capacity that can be used in step (a) is included in the production flow, and the second production capacity is equal to the planned number of products.

The scheduling method further sets priorities of a plurality of orders according to a scheduled priority rule, and an order having the highest priority among the plurality of orders is put into a production flow of the manufacturing apparatus first. 13. The scheduling method according to claim 12, comprising:

14. The scheduling method according to claim 13, wherein the scheduled priority rule is an order delivery date of each order, and a corresponding priority is set before and after the order delivery date of each order.

14. The scheduling method according to claim 13, wherein the scheduled priority rule is a customer of each order, and a priority corresponding to the importance of the customer of each order is set.

When the completion time is later than the order delivery date, the scheduling method includes:
Further providing a plurality of treatment measures, each of which may be used as adjusting the production limit or the raw material limit,
Setting priorities of the plurality of processing measures;
Setting criteria,
Executing the plurality of processing measures in order according to the priority order of the plurality of processing measures, adjusting the production flow, and leading to an interval between the completion time and the order delivery date being smaller than the determination criterion. 13. The scheduling method according to claim 12, wherein:

When the completion time is later than the order delivery date, or when the product is composed of a plurality of semi-finished products and the plurality of semi-finished products are manufactured by the manufacturing apparatus, the scheduling method further includes a completion time of the semi-finished product and the 13. The schedule planning method according to claim 12, wherein there is a time difference between the start time of the product and the completion time of the semi-finished product, so that the time difference is made smaller than a predetermined value.

The scheduling method is applied to a scheduling system, wherein the scheduling system includes a simulation planning system, wherein the simulation planning system is used as modifying the production flow according to adjustment conditions, and further executes a simulation planning procedure. 13. The scheduling method according to claim 12, wherein a simulated production flow is generated through the adjustment condition, and a difference between the simulated production flow and the production flow is output.

19. The scheduling method according to claim 18, wherein the adjustment condition changes an order corresponding to the production flow.

19. The scheduling method according to claim 18, wherein the adjustment condition is to change a raw material limit corresponding to the production flow.

19. The scheduling method according to claim 18, wherein the adjustment condition is to change a production capacity limit corresponding to the production flow.

A scheduling method performed on a computer system, the method comprising:
Used to plan the production flow of the manufacturing equipment and complete the expected number of products in the order at the completion time, the order has an order delivery date, the manufacturing equipment has a production limit, and the production limit has the production equipment. Is the maximum number of products that can be produced within a unit time, and the products correspond to the parts list, and the parts list regulates the raw materials required when the manufacturing apparatus manufactures the products, and the production flow is Corresponding to the raw material limitation, the raw material restriction regulates the raw material supply time required for the planned product number, and the purchase time submits the raw material request required for the planned product number, It is time until the manufacturing apparatus obtains the raw materials required when producing the expected number of products, and the scheduling method is:
Estimating the latest possible start time before the order delivery date, and between the latest possible start time and the order delivery date, the first productivity that the manufacturing apparatus can use under the productivity limitation is Put into the production flow, the first capacity is equal to the expected number of products,
Estimating the time required to submit the expected number of products based on the purchase time and the latest possible start time.

The scheduling method further sets priorities of a plurality of orders according to a scheduled priority rule, and an order having the highest priority among the plurality of orders is put into a production flow of the manufacturing apparatus first. 23. The scheduling method according to claim 22, comprising:

24. The scheduling method according to claim 23, wherein the scheduled priority rule is an order delivery date of each order, and a corresponding priority is set before and after the order delivery date of each order.

24. The scheduling method according to claim 23, wherein the scheduled priority rule is a customer of each order, and a priority corresponding to the importance of the customer of each order is set.

The scheduling method is applied to a scheduling system, wherein the scheduling system includes a simulation planning system, wherein the simulation planning system is used as modifying the production flow according to adjustment conditions, and further executes a simulation planning procedure. 23. The scheduling method according to claim 22, wherein a simulated production flow is generated through the adjustment condition, and a difference between the simulated production flow and the production flow is output.

A scheduling method performed on a computer system, the method comprising:
It is used to plan the production flow of the manufacturing equipment and complete the expected number of products in the order by the completion time, the order has an order delivery time, and the order delivery time is longer than the completion time corresponding to the production flow of the order. Quickly, the scheduling method is
Providing a plurality of treatment measures, each of which is used as adjusting the productivity limit or the raw material limit,
Setting priorities of the plurality of processing measures;
Setting criteria,
Executing the plurality of processing measures in order according to the priority order of the plurality of processing measures, adjusting the production flow, and leading to an interval between the completion time and the order delivery date being smaller than the determination criterion. A scheduling method characterized by the following:

A scheduling system executed on a computer system,
It is used to plan the production flow of the manufacturing equipment and complete the expected number of products in the order at completion time,
A simulation that is used as modifying the production flow according to adjustment conditions, further executes a simulation planning procedure, generates a simulation production flow through the adjustment conditions, and further outputs a difference between the simulation production flow and the production flow. A scheduling system comprising a planning system.

29. The scheduling system according to claim 28, wherein the adjustment condition is to change an order corresponding to the production flow.

29. The scheduling system according to claim 28, wherein the adjustment condition is to change a raw material limit corresponding to the production flow.

29. The scheduling system according to claim 28, wherein said adjustment condition is to change a production capacity limit corresponding to said production flow.