JP2009042904A - Production order determination device and production order determination method - Google Patents

Production order determination device and production order determination method Download PDF

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JP2009042904A
JP2009042904A JP2007205545A JP2007205545A JP2009042904A JP 2009042904 A JP2009042904 A JP 2009042904A JP 2007205545 A JP2007205545 A JP 2007205545A JP 2007205545 A JP2007205545 A JP 2007205545A JP 2009042904 A JP2009042904 A JP 2009042904A
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production order
product
processing time
attribute
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JP5010386B2 (en
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Toshiharu Iwatani
敏治 岩谷
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Kobe Steel Ltd
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    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

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Abstract

<P>PROBLEM TO BE SOLVED: To provide a production order determination device determining production order allowing suppression of deterioration of processing efficiency. <P>SOLUTION: This production order determination device is provided with: a processing time storage means 42 previously storing a processing time in a latter process according to the kind of a product and an attribute imparted to each the product in a former process; a production order candidate creation means 44 creating a candidate of the production order in the latter process; an attribute reading means 70 reading the attribute of each the product; a processing time derivation means 43 deriving the processing time in the latter process of each the product from the processing time storage means 42 based on the attribute; a scheduled end time derivation means 46 deriving production scheduled end time to the production order candidate based on the processing time in the latter process of each the product; and an extraction means 48 extracting the production order candidate wherein the derived production scheduled end time satisfies a preset condition as final production order from a plurality of the production order candidates. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

本発明は、複数の工程を有する生産ラインの生産順序を決定する生産順序決定装置およびその方法に関する。   The present invention relates to a production order determination apparatus and method for determining the production order of a production line having a plurality of processes.

従来、生産効率の向上等を目的として、複数の工程からなる生産ラインにおける生産順序を決定する装置が開発されている。例えば、特許文献1には、転炉での精錬工程、二次精錬設備での二次精錬工程および連続鋳造機での連連鋳造工程を含む製鋼ラインにおける操業スケジュールを決定する操業スケジュール決定装置が開示されている。   2. Description of the Related Art Conventionally, an apparatus for determining a production order in a production line composed of a plurality of processes has been developed for the purpose of improving production efficiency. For example, Patent Document 1 discloses an operation schedule determination device that determines an operation schedule in a steelmaking line including a refining process in a converter, a secondary refining process in a secondary refining facility, and a continuous casting process in a continuous casting machine. Has been.

この装置では、予め決められた前記連続鋳造機における鋳造スケジュールを記憶する手段と、この連続鋳造機での連連鋳造の順位を受け付ける手段と、前記転炉、二次精錬設備および前記連続鋳造機間の搬送時間とを受け付ける手段とを有し、前記鋳造スケジュールに基づいて前記転炉および二次精錬設備での生産順序を仮算出し、この仮算出された生産順序と前記連連鋳造の順位と前記搬送時間とに基づいて、前記製鋼ラインの操業スケジュールを決定している。
特開2006−247703号公報
In this apparatus, a means for storing a casting schedule in the continuous casting machine determined in advance, a means for receiving the rank of continuous casting in the continuous casting machine, the converter, the secondary refining equipment, and the continuous casting machine Means for receiving the transfer time, and temporarily calculating the production order in the converter and secondary refining equipment based on the casting schedule, the provisionally calculated production order, the rank of the continuous casting, and the Based on the conveyance time, the operation schedule of the steelmaking line is determined.
JP 2006-247703 A

前記のような従来の装置では、連続鋳造機において予め決められた鋳造スケジュールどおりに処理が行われるものとして前記操業スケジュールが決定されている。しかしながら、複数の工程からなる生産ラインでは、前工程での処理結果に応じて後工程での処理時間が変化する場合がある。そして、このように後工程の処理時間が変化した場合には、予め決められた生産順序通りに処理を進めていくと、後工程での処理効率が悪化するおそれがある。   In the conventional apparatus as described above, the operation schedule is determined on the assumption that processing is performed according to a casting schedule determined in advance in a continuous casting machine. However, in a production line composed of a plurality of processes, the processing time in the subsequent process may change depending on the processing result in the previous process. And when the processing time of a post process changes in this way, if a process is advanced according to the predetermined production order, there exists a possibility that the process efficiency in a post process may deteriorate.

本発明は、かかる事情に鑑み、前工程での処理結果に応じて後工程における処理時間が変化する場合においても処理効率の悪化を抑制可能な生産順序を決定する生産順序決定装置の提供を目的とする。   In view of such circumstances, an object of the present invention is to provide a production order determination device that determines a production order that can suppress deterioration in processing efficiency even when a processing time in a subsequent process changes according to a processing result in a previous process. And

前記課題を解決するための請求項1に係る発明は、複数種類の製品をそれぞれ処理する工程を複数有する生産ラインの生産順序を決定する生産順序決定装置であって、前記製品の種類と、前工程にて当該各製品にそれぞれ与えられる属性とに応じた後工程における処理時間を予め記憶しておく処理時間記憶手段と、前記後工程における生産順序の候補を複数作成する生産順序候補作成手段と、前記前工程にて各製品に与えられた当該各製品の属性を読み込む属性読み込み手段と、前記属性読み込み手段で読み込まれた属性に基づいて、前記処理時間記憶手段から各製品の前記後工程における処理時間を導出する処理時間導出手段と、前記処理時間導出手段で導出された各製品の前記後工程における処理時間に基づいて、前記生産順序候補作成手段で作成された生産順序候補に対する生産予定終了時刻を導出する予定終了時刻導出手段と、前記複数の生産順序候補から、前記予定終了時刻導出手段で導出された生産予定終了時刻が予め設定された条件を満足する生産順序候補のうちの一つを最終生産順序として抽出する抽出手段とを有することを特徴とするものである(請求項1)。   The invention according to claim 1 for solving the above-mentioned problem is a production order determination device for determining a production order of a production line having a plurality of processes for processing a plurality of types of products, respectively, A processing time storage means for preliminarily storing a processing time in a subsequent process according to an attribute given to each product in the process; a production order candidate creating means for creating a plurality of production order candidates in the subsequent process; , Attribute reading means for reading the attribute of each product given to each product in the previous step, and the post-process of each product from the processing time storage means based on the attribute read by the attribute reading means A processing time deriving unit for deriving a processing time, and the production sequence candidate creation based on the processing time in the subsequent process of each product derived by the processing time deriving unit A scheduled end time deriving unit for deriving a scheduled production end time for the production sequence candidate created in stages, and a scheduled production end time derived by the scheduled end time deriving unit from the plurality of production sequence candidates are preset. Extraction means for extracting one of the production order candidates satisfying the conditions as the final production order is provided.

この発明によれば、前工程にて各製品に与えられる属性に応じて後工程の生産順序が決定されており、前工程での処理結果が予め想定されたものと異なっている場合にも、処理効率の高い生産順序を決定することができる。すなわち、本装置では、前工程で与えられた各製品の属性に応じて導出された後工程での処理時間に基づいて生産予定終了時刻が導出されており、前記生産順序候補作成手段で作成された生産順序の候補について、前工程での処理結果が反映された生産予定終了時刻を導出することができる。そして、この生産予定終了時刻に基づいて最終生産順序を抽出しており、前工程での処理結果に応じたより適切な生産順序を決定することができる。   According to this invention, the production order of the post-process is determined according to the attribute given to each product in the pre-process, and even when the processing result in the pre-process is different from that assumed in advance, A production sequence with high processing efficiency can be determined. That is, in this apparatus, the scheduled production end time is derived based on the processing time in the subsequent process derived according to the attribute of each product given in the previous process, and is created by the production order candidate creating means. For the production order candidates, the scheduled production end time reflecting the processing result in the previous process can be derived. Then, the final production order is extracted based on the scheduled production end time, and a more appropriate production order can be determined according to the processing result in the previous process.

前記抽出手段において前記最終生産順序の抽出条件は特に限定されるものではないが、例えば、前記抽出手段が、前記複数の生産順序候補のうちその前記生産予定終了時刻が最先となるものを前記最終生産順序として抽出するよう構成されていれば、生産時間の短縮化を図ることができる(請求項2)。   In the extraction means, the extraction condition of the final production order is not particularly limited, but for example, the extraction means is the one in which the scheduled production end time is the earliest among the plurality of production order candidates. If it is configured to extract as the final production order, the production time can be shortened (Claim 2).

また、本発明において、前記複数の製品にそれぞれ添付されるタグと、前記前工程終了後に、前記タグに前記各製品の属性を書き込む書き込み手段とを備え、前記属性読み込み手段は、前記タグから前記各製品の属性を読み込むのが好ましい(請求項3)。   Further, in the present invention, it comprises a tag attached to each of the plurality of products, and a writing unit for writing the attribute of each product to the tag after the previous step is completed, and the attribute reading unit includes the tag from the tag It is preferable to read the attributes of each product (claim 3).

このようにすれば、前記属性の読み込み時において製品とその属性との対応付けをより容易にかつ確実に行うことができ、前記属性がより確実に反映された生産順序を決定することができる。   In this way, when the attribute is read, the product can be associated with the attribute more easily and reliably, and the production order in which the attribute is more reliably reflected can be determined.

さらに、前記タグを非接触式タグとすれば、このタグの読み込みが容易になり利便性が向上する(請求項4)。   Further, if the tag is a non-contact type tag, it is easy to read the tag and convenience is improved.

ここで、本生産順序決定装置を適用する生産ラインの具体的構造は、特に限定されるものではないが、前記前工程がバッチ生産工程であるとともに、前記後工程が連続する2つ以上の連続生産工程からなる生産ラインの生産順序を決定するものに適用すればより効果的である(請求項5)。   Here, the specific structure of the production line to which the present production order determination apparatus is applied is not particularly limited, but the preceding process is a batch production process, and the two or more continuous processes are continuous. It is more effective if it is applied to one that determines the production order of a production line comprising production processes.

すなわち、前記のような生産ラインでは、前工程での処理結果によって後工程の上流側の工程の処理時間が変化すると下流側の工程での無駄時間が変化してしまい、前工程での処理結果の影響が全体の処理時間に与える影響が大きい。そのため、このような生産ラインに本生産順序決定装置を適用して処理効率の高い生産順序を決定すれば、全体の処理時間の増大を抑制することが可能となる。   That is, in the production line as described above, if the processing time of the upstream process of the subsequent process changes due to the processing result of the previous process, the dead time of the downstream process changes, and the processing result of the previous process The effect of this has a large effect on the overall processing time. Therefore, if the production sequence with high processing efficiency is determined by applying the production sequence determination device to such a production line, it is possible to suppress an increase in the overall processing time.

また、本発明は、複数種類の製品をそれぞれ処理する工程を複数有する生産ラインの生産順序を決定する生産順序決定方法であって、前記製品の種類と、前工程にて当該各製品にそれぞれ与えられる属性とに応じた後工程における処理時間を予め記憶しておく処理時間記憶手段を用い、後工程における生産順序の候補を複数作成する生産順序候補作成工程と、前記前工程にて各製品に与えられた当該各製品の属性を読み込む属性読み込み工程と、前記属性読み込み工程で読み込まれた属性に基づいて、前記処理時間記憶手段から各製品の前記後工程における処理時間を導出する処理時間導出工程と、前記処理時間導出工程で導出された各製品の前記後工程における処理時間に基づいて、前記生産順序候補作成工程で作成された生産順序候補に対する生産予定終了時刻を導出する予定終了時刻導出工程と、前記複数の生産順序候補から、前記予定終了時刻導出工程で導出された生産予定終了時刻が予め設定された条件を満足する生産順序候補のうちの一つを最終生産順序として抽出する最終生産順序抽出工程とを含むことを特徴とする生産順序決定方法を含む(請求項6)。   The present invention also relates to a production order determination method for determining a production order of a production line having a plurality of processes for processing a plurality of types of products, and each of the products is given to each product in the preceding process. Using a processing time storage means that pre-stores the processing time in the subsequent process according to the attribute to be produced, and a production sequence candidate creating process for creating a plurality of production order candidates in the subsequent process, and each product in the preceding process An attribute reading step for reading the attribute of each given product, and a processing time deriving step for deriving a processing time in the subsequent step of each product from the processing time storage means based on the attribute read in the attribute reading step And the production order candidates created in the production order candidate creation step based on the processing time in the subsequent process of each product derived in the treatment time derivation step. A scheduled end time deriving step for deriving a scheduled production end time and a production sequence candidate satisfying a preset condition for the planned production end time derived in the scheduled end time deriving step from the plurality of production sequence candidates A production sequence determination method including a final production sequence extraction step of extracting one of them as a final production sequence (Claim 6).

以上説明したように、本生産順序決定装置によれば、前工程での処理結果に応じて後工程における処理時間が変化する場合においても処理効率の悪化を抑制可能な生産順序を決定することができる。   As described above, according to the production sequence determination device, it is possible to determine a production sequence that can suppress deterioration in processing efficiency even when the processing time in the subsequent process changes according to the processing result in the previous process. it can.

以下、本発明の好ましい実施形態について図面を参照して説明する。本発明に係る生産順序決定装置10は、複数種類の製品を処理する工程を複数有する生産ラインの生産順序を決定する装置である。ここでは、前記生産順序決定装置10が、鋳造工程(前工程)と、表面疵取り工程(後工程)と、型加工工程(後工程)とを有する生産ラインの生産順序を決定する場合について説明する。   Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings. The production order determination apparatus 10 according to the present invention is an apparatus that determines the production order of a production line having a plurality of processes for processing a plurality of types of products. Here, a description will be given of the case where the production order determination device 10 determines the production order of a production line having a casting process (pre-process), a surface scraping process (post-process), and a die machining process (post-process). To do.

前記鋳造工程は、各製品の元となる複数種類の鋳造物を製造する工程である。前記表面疵取り工程は、前記鋳造物の表面の疵を除去する工程である。前記型加工工程は、前記表面疵取り工程にて疵が除去された前記鋳造物を所定の形状に型加工する工程である。ここで、前記鋳造工程はバッチ生産工程であり、前記複数種類の鋳造物はほぼ同時に鋳造される。一方、前記表面疵取り工程と前記型加工工程とは連続生産工程であり、前記各鋳造物は、それぞれ表面疵取り工程が終了した後に前記型加工工程にて型加工される。   The casting process is a process of manufacturing a plurality of types of castings that are the basis of each product. The surface wrinkling step is a step of removing wrinkles on the surface of the casting. The die machining step is a step of die-molding the casting from which the wrinkles have been removed in the surface scraping step into a predetermined shape. Here, the casting process is a batch production process, and the plurality of types of castings are cast almost simultaneously. On the other hand, the surface scraping step and the die machining step are continuous production steps, and each casting is die-molded in the die machining step after the surface scraping step is finished.

図5に、4種類の製品(製品A、B、C、D)が前記生産ラインで生産される場合の一例を示す。この図に示すように、前記鋳造工程にて同時に鋳造された製品A、B、C、Dの各鋳造物は、例えばA→B→C→Dの順で前記表面疵取り工程に搬送され、この工程で順次その表面の疵が取り除かれていく。そして、前記表面疵取り工程が終了した鋳造物は、所定の搬送時間をかけて前記型加工工程に搬送され、この型加工工程にて順次処理されていく。ここで、本実施形態では、前記表面疵取り工程および前記型加工工程において、1つの製品の処理が終了してから次の製品の処理を開始するまでに所定の準備期間を要するよう構成されている。   FIG. 5 shows an example in which four types of products (products A, B, C, and D) are produced on the production line. As shown in this figure, the castings of products A, B, C, D simultaneously cast in the casting process are conveyed to the surface scraping process in the order of A → B → C → D, for example, In this process, the surface wrinkles are sequentially removed. Then, the casting after the surface scraping process is transported to the mold processing process over a predetermined transport time, and sequentially processed in this mold processing process. Here, in the present embodiment, in the surface scraping step and the mold processing step, a predetermined preparation period is required from the end of processing of one product to the start of processing of the next product. Yes.

前記表面疵取り工程および型加工工程における生産順序A→B→C→Dは、前記鋳造工程にて各鋳造物が所定の状態で鋳造されると想定した場合に、すべての製品の生産終了時刻が納期を満足するように決定されたものである。そのため、各鋳造物が想定した状態で鋳造されれば、各製品の生産は納期に間に合う。しかしながら、実際の工程では、前記鋳造物が想定した状態で鋳造されず、全ての製品の生産が納期に間に合わない場合がある。例えば、鋳造物の疵の数が想定した数よりも多く、前記表面疵取り工程での処理時間が予定していた時間よりも長くなったために、納期に間に合わなくなる場合がある。また、鋳造物の加工を困難にする所定の成分が予定よりも多量に含まれており、前記型加工工程での処理時間が予定していた時間よりも長くなったために、納期に間に合わなくなる場合がある。例えば、図6に示すように、前記鋳造工程での製品Bの鋳造物の疵が想定した数よりも多く、前記表面疵取り工程での処理時間が予定よりもt_f時間だけ長くなると、製品Bおよび製品Bの後に処理される製品C、Dの前記型加工工程の終了時刻がt_f時間遅くなり、製品Dの生産は納期に間に合わなくなる。   The production sequence A → B → C → D in the surface scraping process and the die machining process is the production end time of all products when it is assumed that each casting is cast in a predetermined state in the casting process. Is determined to satisfy the delivery date. Therefore, if each casting is cast in the assumed state, the production of each product will be in time for delivery. However, in the actual process, the casting is not cast in the assumed state, and production of all products may not be in time for delivery. For example, there are cases where the number of casting defects is larger than the expected number, and the processing time in the surface scraping process is longer than the scheduled time, so that the deadline cannot be met. In addition, when a predetermined component that makes it difficult to process the casting is contained in a larger amount than planned, and the processing time in the mold processing step is longer than the scheduled time, the delivery time cannot be met. There is. For example, as shown in FIG. 6, when the number of castings of the product B in the casting process is larger than the expected number, and the processing time in the surface scraping process is longer than planned by t_f time, the product B And the end time of the die machining process of the products C and D processed after the product B is delayed by t_f time, and the production of the product D is not in time for delivery.

これに対して、本発明に係る生産順序決定装置10は、前記鋳造工程で各鋳造物が予め想定された状態で鋳造されなかった場合にも、より確実に納期に間に合うような生産順序を決定するものである。本発明に係る生産順序決定装置10の概略ブロック図を図1に示す。この生産順序決定装置10は、入力部30と演算部40と出力部50とを有するコンピュータ20と、書き込み装置(書き込み手段)60と、読み込み装置(読み込み手段)70と、ICタグ(非接触式タグ)100とを備える。前記入力部30は、例えばマウスやキーボードで構成されており、作業者等はこの入力部30を用いて納期および製品の種類を前記演算部40に入力する。また、前記演算部40は、CPUとROMとRAMとから構成されており、後述するように最終生産順序を決定する。また、前記出力部50は、モニタ等で構成され、前記演算部40から出力された前記最終生産順序等を表示する。   On the other hand, the production order determination apparatus 10 according to the present invention determines the production order that more reliably meets the delivery date even when each casting is not cast in a state assumed in advance in the casting process. To do. A schematic block diagram of a production order determination apparatus 10 according to the present invention is shown in FIG. The production order determination device 10 includes a computer 20 having an input unit 30, a calculation unit 40, and an output unit 50, a writing device (writing means) 60, a reading device (reading means) 70, and an IC tag (non-contact type). Tag) 100. The input unit 30 includes, for example, a mouse or a keyboard, and an operator or the like inputs a delivery date and a product type to the calculation unit 40 using the input unit 30. The arithmetic unit 40 includes a CPU, a ROM, and a RAM, and determines the final production order as will be described later. The output unit 50 includes a monitor or the like, and displays the final production order and the like output from the calculation unit 40.

前記ICタグ100は、前記鋳造工程で各鋳造物に生じた疵の数やその成分、すなわち、各製品の属性を記憶し、これら属性を前記演算部40に伝達するためのものである。このICタグ100は、製品毎に添付されその製品の種類と属性とを記憶した状態で製品とともに搬送される。   The IC tag 100 is for storing the number of wrinkles generated in each casting in the casting process and its components, that is, attributes of each product, and transmitting these attributes to the calculation unit 40. The IC tag 100 is attached to each product and is conveyed together with the product in a state where the type and attribute of the product are stored.

前記書き込み装置60は、前記ICタグ100に各製品の属性である鋳造物の疵の数等を書き込むための装置である。この書き込み装置60は所定の入力部を備え、前記鋳造工程終了後に検出された各鋳造物の疵の数等を作業者等がこの入力部に入力することで、入力された疵の数等を前記ICタグ100に書き込んでいく。   The writing device 60 is a device for writing on the IC tag 100 the number of casting defects, etc., which are the attributes of each product. The writing device 60 includes a predetermined input unit, and an operator or the like inputs the number of wrinkles of each casting detected after the end of the casting process into the input unit. Writing to the IC tag 100 is performed.

前記読み込み装置70は、前記ICタグ100から前記疵の数等の属性および製品の種類を読み込むための装置である。この読み込み装置70は、前記演算部40に接続されており、読み込んだ前記属性等を前記演算部40へ出力する。さらに、前記ICタグ100は、非接触式であり、この読み込み装置70は容易に前記属性等を読み込むことができる。もちろん、非接触式のICタグ100に代えて接触式のICタグを用いてもよいが、非接触式ICタグ100の方が利便性が向上する。   The reading device 70 is a device for reading an attribute such as the number of baskets and a product type from the IC tag 100. The reading device 70 is connected to the calculation unit 40 and outputs the read attributes and the like to the calculation unit 40. Further, the IC tag 100 is a non-contact type, and the reading device 70 can easily read the attributes and the like. Of course, a contact IC tag may be used instead of the non-contact IC tag 100, but the non-contact IC tag 100 is more convenient.

また、前記ICタグ100や書き込み装置60および読み込み装置70を省き、前記演算部40に前記属性等を直接入力してもよい。しかしながら、前記鋳造物の疵の数等の属性が調査される設備と、前記演算部40を含むコンピュータ20が設置される設備とが離間している場合には、前記演算部40への直接入力は困難となる。一方、コンピュータネットワークが配備されている場合には、このコンピュータネットワークを介することで前記コンピュータ20の演算部40に前記属性を比較的容易に伝達できるが、ネットワーク上での情報更新が遅れてしまった場合等には生産ライン上の実際の製品の属性と演算部40に伝達された属性とがずれてしまうおそれがある。そのため、本実施形態のように、ICタグ100に前記属性を書き込み、このICタグ100を各製品に添付するのが好ましい。   Further, the IC tag 100, the writing device 60, and the reading device 70 may be omitted, and the attributes and the like may be directly input to the arithmetic unit 40. However, when the equipment for which the attribute such as the number of ridges of the casting is examined and the equipment in which the computer 20 including the computing unit 40 is installed are separated from each other, direct input to the computing unit 40 is performed. Will be difficult. On the other hand, when a computer network is provided, the attribute can be transmitted to the computing unit 40 of the computer 20 relatively easily via the computer network, but information update on the network is delayed. In some cases, the attribute of the actual product on the production line may be misaligned with the attribute transmitted to the calculation unit 40. Therefore, it is preferable to write the attribute on the IC tag 100 and attach the IC tag 100 to each product as in this embodiment.

前記コンピュータ20の演算部40は、前記読み込み装置70から入力された前記製品の種類および属性に基づいて前記表面疵取り工程および前記型加工工程における最終生産順序を決定するものである。この演算部40は、処理時間記憶部(処理時間記憶手段)42、処理時間導出部(処理時間導出手段)43、生産順序候補作成部(生産順序候補作成手段)44、予定終了時刻導出部(予定終了時刻導出手段)46、抽出部(抽出手段)48とを備えている。   The computing unit 40 of the computer 20 determines the final production order in the surface scraping process and the mold machining process based on the type and attribute of the product input from the reading device 70. The calculation unit 40 includes a processing time storage unit (processing time storage unit) 42, a processing time deriving unit (processing time deriving unit) 43, a production order candidate creating unit (production order candidate creating unit) 44, and a scheduled end time deriving unit ( (Scheduled end time deriving means) 46 and an extracting unit (extracting means) 48.

前記生産順序候補作成部44は、前記表面疵取り工程および前記型加工工程における生産順序の候補を作成するものである。この生産順序候補作成部44は、前記表面疵取り工程等においてとり得る全ての生産順序の候補を作成しそれらを記憶する。例えば、n種類の製品の場合はn!通りの候補を作成し記憶する。   The production order candidate creation unit 44 creates production order candidates in the surface scraping process and the die machining process. The production sequence candidate creation unit 44 creates all the production sequence candidates that can be taken in the surface scraping process and stores them. For example, n! Create and store street candidates.

ここで、製品の種類が多くなると候補数が増大し演算負荷が高くなってしまう。従って、候補数が膨大になる場合には、一部の候補のみを計算するようにしてもよい。また、過去の経験等から処理効率を向上することができる条件(例えば、ある製品をある製品の後に処理すると効率がよいといった条件)が予めわかっている場合には、その条件を満足するような生産順序のみを候補として計算、記憶するようにしてもよい。   Here, as the number of types of products increases, the number of candidates increases and the calculation load increases. Therefore, when the number of candidates becomes enormous, only some candidates may be calculated. In addition, if conditions that can improve the processing efficiency from past experience etc. (for example, a condition that it is efficient when a certain product is processed after a certain product) are known in advance, the conditions are satisfied. Only the production order may be calculated and stored as a candidate.

前記処理時間記憶部42は、製品の種類とその属性とに応じた前記表面疵取り工程での処理時間および前記型加工工程での処理時間を予め記憶しているものである。具体的には、この処理時間記憶部42では、図3および図4に示すようなマップが記憶されている。図3は、前記表面疵取り工程における処理時間であり、各製品A〜Dに関して、各製品の鋳造物の疵の数に応じた処理時間が設定されている。基本的には、疵の数が多くなるにつれ表面疵取り工程での処理時間は長くなる。図4は、前記型加工工程における処理時間であり、各製品A〜Dに関して、各製品の鋳造物の成分のうち加工を困難とする所定の成分の量に応じた処理時間が設定されている。基本的には、この成分の量が多くなるにつれ型加工工程での処理時間は長くなる。   The processing time storage unit 42 stores in advance the processing time in the surface scraping process and the processing time in the mold machining process according to the type of product and its attributes. Specifically, the processing time storage unit 42 stores maps as shown in FIGS. FIG. 3 shows the processing time in the surface scraping step, and the processing time is set for each product A to D in accordance with the number of wrinkles in the casting of each product. Basically, as the number of wrinkles increases, the processing time in the surface wrinkling process becomes longer. FIG. 4 shows the processing time in the mold processing step, and the processing time is set for each of the products A to D according to the amount of a predetermined component that makes processing difficult among the components of the casting of each product. . Basically, as the amount of this component increases, the processing time in the mold processing step becomes longer.

前記処理時間導出部43は、生産ライン上の各製品の種類およびその実際の属性に基づいて各工程における処理時間を導出するものである。この処理時間導出部43は、前記読み込み装置70から入力された各製品の種類およびその属性に基づいて、前記処理時間記憶部42に記憶されているマップから該当する処理時間をそれぞれ導出しており、この処理時間導出部43では、各製品について実際の疵の数等に応じたより正確な処理時間が導出される。   The processing time deriving unit 43 derives the processing time in each process based on the type of each product on the production line and its actual attribute. The processing time deriving unit 43 derives the corresponding processing time from the map stored in the processing time storage unit 42 based on the type of each product input from the reading device 70 and its attributes. The processing time deriving unit 43 derives a more accurate processing time corresponding to the actual number of wrinkles for each product.

前記予定終了時刻導出部46は、前記生産順序候補作成部44で作成された生産順序候補に対して、その生産順序どおりに生産した場合の生産予定終了時刻を導出するものである。この予定終了時刻導出部46は、各生産順序候補に前記処理時間導出部43で導出された処理時間を当てはめていくことで、生産順序候補毎の生産予定終了時刻を導出する。より具体的には、前記処理時間導出部43で導出された処理時間と、前記表面疵取り工程と型加工工程間での搬送に要する搬送時間と、各工程における前記準備期間とを、前記生産順序候補に当てはめて前記生産予定終了時刻を導出する。ここで、前述のように、処理時間導出部43では、各製品の実際の疵の数等に応じた処理時間が導出されており、この予定終了時刻導出部46では、より正確な生産予定終了時刻が導出される。本実施形態では、この予定終了時刻導出部46にて、全ての生産順序候補に対し、その生産予定終了時刻を導出する。   The scheduled end time deriving unit 46 derives a scheduled production end time when the production order candidates created by the production order candidate creating unit 44 are produced according to the production order. The scheduled end time deriving unit 46 derives the scheduled production end time for each production order candidate by applying the processing time derived by the processing time deriving unit 43 to each production order candidate. More specifically, the processing time derived by the processing time deriving unit 43, the transportation time required for transportation between the surface scraping process and the die machining process, and the preparation period in each process are determined as the production. The scheduled production end time is derived by applying to the order candidates. Here, as described above, the processing time deriving unit 43 derives the processing time corresponding to the actual number of wrinkles of each product and the like, and the scheduled end time deriving unit 46 performs a more accurate scheduled production end. A time is derived. In the present embodiment, the scheduled end time deriving unit 46 derives the scheduled production end time for all production order candidates.

前記抽出部48は、前記導出された生産予定終了時刻に基づいて最終生産順序を抽出するものである。この抽出手段では、納期をより確実に満足できるように前記生産候補毎の生産予定終了時刻から最も早い時刻となるものを抽出し、この時刻となる生産候補を最終生産順序として抽出、決定する。   The extraction unit 48 extracts a final production order based on the derived scheduled production end time. In this extraction means, in order to satisfy the delivery date more reliably, the one that becomes the earliest time from the scheduled production end time for each production candidate is extracted, and the production candidate that becomes this time is extracted and determined as the final production order.

以上のように構成された前記演算部40において前記最終生産順序が決定される要領について、図2のフローチャートを用いて説明する。   The procedure for determining the final production order in the arithmetic unit 40 configured as described above will be described with reference to the flowchart of FIG.

まず、前記入力部30から、本生産ラインで生産する製品の種類および納期が入力される(ステップS2)。前記製品の種類が入力されると、前記生産順序候補作成部44にて、前記表面疵取り工程および型加工工程における全ての生産順序候補が作成される(ステップS3:生産順序候補作成工程)。   First, the type and delivery date of a product produced on the production line are input from the input unit 30 (step S2). When the product type is input, the production order candidate creation unit 44 creates all production order candidates in the surface scraping process and the die machining process (step S3: production order candidate creation process).

次に、別途前記書き込み装置60により製品の種類およびその属性が書き込まれたICタグ100から、各製品の種類および属性が前記読み込み装置70によって読み込まれる(ステップS4:属性読み込み工程)。この読込み装置70で読み込まれた属性等は前記演算部40の前記処理時間導出部43に伝達される。そして、この処理時間導出部43にて、前記処理時間記憶部42に記憶されている前記マップに基づき、前記製品の種類および属性に応じた各工程の処理時間が導出される(ステップS6:処理時間導出工程)。   Next, the type and attribute of each product are read by the reading device 70 from the IC tag 100 in which the type and attribute of the product are separately written by the writing device 60 (step S4: attribute reading step). The attributes read by the reading device 70 are transmitted to the processing time deriving unit 43 of the arithmetic unit 40. Then, the processing time deriving unit 43 derives the processing time of each process according to the type and attribute of the product based on the map stored in the processing time storage unit 42 (step S6: processing Time derivation process).

前記各工程の処理時間が導出されると、前記予定終了時刻導出部46にて、前記処理時間が各生産順序候補に当てはめられ、全ての候補に対してその生産予定終了時刻が算出される(ステップS10:予定終了時刻導出工程)。そして、前記抽出部48にて、生産予定終了時刻のうち最も早期に終了するものが抽出され、その生産予定終了時刻を実現する生産順序候補が最終生産順序として抽出、決定される(ステップS14:最終生産順序抽出工程)。最後に、この抽出された最終生産順序がディスプレイ等の出力部50に出力される。   When the processing time of each process is derived, the scheduled end time deriving unit 46 assigns the processing time to each production order candidate and calculates the scheduled production end time for all candidates ( Step S10: Scheduled end time deriving step). Then, the extraction unit 48 extracts the earliest end of the scheduled production end time, and the production sequence candidate that realizes the scheduled production end time is extracted and determined as the final production sequence (step S14: Final production order extraction process). Finally, the extracted final production order is output to the output unit 50 such as a display.

このようにして、演算部40で最終生産順序が決定され、出力部50にその順序が表示されれば、作業者等はこの順序に沿って各工程を進めていけばよい。   In this way, when the final production order is determined by the arithmetic unit 40 and the order is displayed on the output unit 50, the worker or the like may advance each process in accordance with this order.

前記演算部40からの出力例を図7に示す。この図7では、図6と同じように4種類の製品を生産する場合において、製品Bの疵の数が予定していた通常状態よりも多く、前記表面疵取り工程での製品Bの処理時間が長引いた場合の出力例を示している。この例では、前記演算部40にて4!=24通りの生産順序候補が導出され、そのうち最も早期に処理が終了するものとして8通りの最終生産順序が抽出された。図7では、この8つの最終生産順序のうち1つ(C→D→B→A)を示している。この図7に示すように、前記演算部40で出力された最終生産順序で生産すれば、各工程での無駄時間が最小となり、製品Bの疵の数が通常よりも多いにも関わらず、全ての製品を十分に納期に間に合わせることが可能となる。   An output example from the arithmetic unit 40 is shown in FIG. In FIG. 7, when four types of products are produced as in FIG. 6, the number of wrinkles of product B is larger than the normal state where the product B was planned, and the processing time of product B in the surface scraping step is Shows an output example when is prolonged. In this example, the calculation unit 40 uses 4! = 24 kinds of production order candidates were derived, and eight kinds of final production orders were extracted as the process was completed earlier. FIG. 7 shows one of the eight final production orders (C → D → B → A). As shown in FIG. 7, if production is performed in the final production order output from the calculation unit 40, the dead time in each process is minimized, and the number of wrinkles of the product B is larger than usual. All products can be made in time for delivery.

このように、本生産順序決定装置10によれば、前記鋳造工程にて各製品に与えられる属性に応じて前記表面疵取り工程および前記型加工工程での生産順序が決定されており、鋳造工程で鋳造された各鋳造物の疵の数等が予め想定されたものと異なっている場合にも、処理効率の高い生産順序を決定することができる。   Thus, according to the production sequence determination device 10, the production sequence in the surface scraping step and the die processing step is determined according to the attribute given to each product in the casting step, and the casting step The production order with high processing efficiency can also be determined even when the number of ridges and the like of each casting cast in step 1 is different from that assumed in advance.

ここで、本発明に係る生産順序決定装置10の適用範囲は、前記のような鋳造工程、表面疵取り工程および型加工工程を含む生産ラインに限らない。そして、製品の種類や数等についても前記に限らない。ただし、前記のように、後工程が連続する連続生産工程の場合には、後工程の上流側の工程の処理時間の変化に伴って後工程の下流側の工程での無駄時間が変化し、上流側の工程の処理時間すなわち前工程での処理結果の影響が全体の処理時間に与える影響が大きくなるため、前記生産順序決定装置10を用いればより効果的である。   Here, the application range of the production order determination apparatus 10 according to the present invention is not limited to the production line including the casting process, the surface cutting process and the die machining process as described above. The types and number of products are not limited to the above. However, as described above, in the case of a continuous production process in which the subsequent process is continuous, the dead time in the downstream process of the subsequent process changes with the change in the processing time of the upstream process of the subsequent process, Since the influence of the processing time of the upstream process, that is, the influence of the processing result in the previous process, on the entire processing time becomes large, it is more effective to use the production order determination device 10.

また、前記最終生産順序は、その生産予定終了時刻が必ずしも最先となる順序でなくてもよく、その他の条件を満足するものであってもよい。また、前記のように生産順序候補の生産予定終了時刻を全て導出しなくてもよい。例えば、前記予定終了時刻導出部46にて1つの生産順序候補の生産予定終了時刻が導出されると、すぐさま前記抽出部48にてその生産予定終了時刻が予め設定された所定時刻(例えば納期)よりも早いかどうかを判断し、早い場合には残りの生産順序候補の生産予定終了時刻を導出することなく、その時刻となる候補をただちに最終生産順序として抽出するようにしてもよい。この場合には、図7に示すような生産予定終了時刻が最先となる処理順序(C→D→B→A)で処理した場合よりも処理終了時刻が遅い処理順序(A→C→D→B)が最終処理順序として抽出される可能性があるが、図8に示すように、この順序であっても全ての製品を納期内に生産することができる。そして、前記のようにして最終生産順序を抽出すれば、演算部40での演算時間を短縮することが可能となる。   In addition, the final production order may not necessarily be the order in which the scheduled production end time is first, and may satisfy other conditions. Further, as described above, it is not necessary to derive all the production schedule end times of the production order candidates. For example, when the production schedule end time of one production sequence candidate is derived by the schedule end time deriving unit 46, the extraction unit 48 immediately sets a predetermined time (for example, delivery date) in which the production scheduled end time is preset. If it is earlier, the candidate at that time may be extracted immediately as the final production order without deriving the scheduled production end time of the remaining production order candidates. In this case, the processing order (A → C → D) having a later processing end time than the processing order (C → D → B → A) in which the scheduled production end time is the earliest as shown in FIG. → B) may be extracted as the final processing order, but as shown in FIG. 8, all products can be produced within the delivery date even in this order. If the final production order is extracted as described above, the calculation time in the calculation unit 40 can be shortened.

本発明の実施形態に係る生産順序決定装置の概略ブロック図である。It is a schematic block diagram of the production order determination apparatus which concerns on embodiment of this invention. 図1に示す生産順序決定装置での演算要領を示すフローチャートである。It is a flowchart which shows the calculation point in the production order determination apparatus shown in FIG. 処理時間記憶手段で記憶される処理時間のマップ例である。It is an example of the map of the processing time memorize | stored in a processing time memory | storage means. 処理時間記憶手段で記憶される処理時間のマップ例である。It is an example of the map of the processing time memorize | stored in a processing time memory | storage means. 通常の生産順序に沿った処理の流れを示す図である。It is a figure which shows the flow of the process along a normal production order. 図5に対して一部の処理時間が変化した場合の処理の流れを示す図である。It is a figure which shows the flow of a process when a part of processing time changes with respect to FIG. 図1に示す生産順序決定装置で算出された最終生産順序例である。It is an example of the final production order calculated with the production order determination apparatus shown in FIG. 他の実施形態に係る生産順序決定装置で算出された最終生産順序例である。It is an example of the final production order calculated with the production order determination apparatus which concerns on other embodiment.

符号の説明Explanation of symbols

10 生産順序決定装置
20 コンピュータ
30 入力部
40 演算部
42 処理時間記憶部(処理時間記憶手段)
43 処理時間導出部(処理時間導出手段)
44 生産順序候補作成部(生産順序候補作成手段)
46 予定終了時刻導出部(予定終了時刻導出手段)
48 抽出部(抽出手段)
50 出力部
60 書き込み装置(書き込み手段)
70 読み込み装置(読み込み手段)
100 ICタグ(非接触式タグ)
DESCRIPTION OF SYMBOLS 10 Production order determination apparatus 20 Computer 30 Input part 40 Calculation part 42 Processing time memory | storage part (processing time memory | storage means)
43 Processing time deriving unit (processing time deriving means)
44 Production order candidate creation unit (production order candidate creation means)
46 Scheduled end time deriving unit (scheduled end time deriving means)
48 Extraction unit (extraction means)
50 output unit 60 writing device (writing means)
70 Reading device (reading means)
100 IC tag (non-contact tag)

Claims (6)

複数種類の製品をそれぞれ処理する工程を複数有する生産ラインの生産順序を決定する生産順序決定装置であって、
前記製品の種類と、前工程にて当該各製品にそれぞれ与えられる属性とに応じた後工程における処理時間を予め記憶しておく処理時間記憶手段と、
前記後工程における生産順序の候補を複数作成する生産順序候補作成手段と、
前記前工程にて各製品に与えられた当該各製品の属性を読み込む属性読み込み手段と、
前記属性読み込み手段で読み込まれた属性に基づいて、前記処理時間記憶手段から各製品の前記後工程における処理時間を導出する処理時間導出手段と、
前記処理時間導出手段で導出された各製品の前記後工程における処理時間に基づいて、前記生産順序候補作成手段で作成された生産順序候補に対する生産予定終了時刻を導出する予定終了時刻導出手段と、
前記複数の生産順序候補から、前記予定終了時刻導出手段で導出された生産予定終了時刻が予め設定された条件を満足する生産順序候補のうちの一つを最終生産順序として抽出する抽出手段とを有することを特徴とする生産順序決定装置。
A production order determination device for determining a production order of a production line having a plurality of processes for processing a plurality of types of products,
Processing time storage means for storing in advance the processing time in the subsequent process according to the type of the product and the attribute given to each product in the previous process;
Production order candidate creation means for creating a plurality of production order candidates in the subsequent process;
Attribute reading means for reading the attribute of each product given to each product in the previous step;
A processing time deriving unit for deriving a processing time in the subsequent process of each product from the processing time storage unit based on the attribute read by the attribute reading unit;
A scheduled end time deriving unit for deriving a scheduled production end time for the production sequence candidate created by the production sequence candidate creating unit based on the processing time in the subsequent process of each product derived by the processing time deriving unit;
Extraction means for extracting, from the plurality of production order candidates, one of the production order candidates satisfying a preset condition for the scheduled production end time derived by the scheduled end time deriving means as a final production order; A production sequence determination device comprising:
請求項1に記載の生産順序決定装置において、
前記抽出手段は、前記複数の生産順序候補のうち、その前記生産予定終了時刻が最先となるものを前記最終生産順序として抽出することを特徴とする生産順序決定装置。
The production sequence determination device according to claim 1,
The said extraction means extracts the thing in which the said production scheduled end time becomes the earliest among the said several production order candidates as the said last production order, The production order determination apparatus characterized by the above-mentioned.
請求項1または2に記載の生産順序決定装置において、
前記複数の製品にそれぞれ添付されるタグと、
前記前工程終了後に、前記タグに前記各製品の属性を書き込む書き込み手段とを備え、
前記属性読み込み手段は、前記タグから前記各製品の属性を読み込むことを特徴とする生産順序決定装置。
In the production order determination device according to claim 1 or 2,
A tag attached to each of the plurality of products;
Write means for writing the attribute of each product to the tag after the previous step is completed,
The production order determining apparatus, wherein the attribute reading means reads the attribute of each product from the tag.
請求項3に記載の生産順序決定装置において、
前記複数の製品にそれぞれ添付されるタグは非接触式タグであることを特徴とする生産順序決定装置。
In the production order determination device according to claim 3,
The production order determination apparatus according to claim 1, wherein the tags attached to the plurality of products are non-contact tags.
請求項1〜4のいずれかに記載の生産順序決定装置において、
前記前工程がバッチ生産工程であるとともに、前記後工程が2つ以上の連続する連続生産工程を含み、
前記生産順序候補作成手段は、前記連続生産工程における生産順序の候補を作成することを特徴とする生産順序決定装置。
In the production order determination device according to any one of claims 1 to 4,
The pre-process is a batch production process, and the post-process includes two or more continuous production processes.
The production order candidate creation unit creates a production order candidate in the continuous production process.
複数種類の製品をそれぞれ処理する工程を複数有する生産ラインの生産順序を決定する生産順序決定方法であって、
前記製品の種類と、前工程にて当該各製品にそれぞれ与えられる属性とに応じた後工程における処理時間を予め記憶しておく処理時間記憶手段を用い、
後工程における生産順序の候補を複数作成する生産順序候補作成工程と、
前記前工程にて各製品に与えられた当該各製品の属性を読み込む属性読み込み工程と、
前記属性読み込み工程で読み込まれた属性に基づいて、前記処理時間記憶手段から各製品の前記後工程における処理時間を導出する処理時間導出工程と、
前記処理時間導出工程で導出された各製品の前記後工程における処理時間に基づいて、前記生産順序候補作成工程で作成された生産順序候補に対する生産予定終了時刻を導出する予定終了時刻導出工程と、
前記複数の生産順序候補から、前記予定終了時刻導出工程で導出された生産予定終了時刻が予め設定された条件を満足する生産順序候補のうちの一つを最終生産順序として抽出する最終生産順序抽出工程とを含むことを特徴とする生産順序決定方法。
A production order determination method for determining a production order of a production line having a plurality of processes for processing a plurality of types of products,
Using the processing time storage means for storing in advance the processing time in the subsequent process according to the type of the product and the attribute given to each product in the previous process,
A production sequence candidate creation step for creating a plurality of production sequence candidates in the subsequent process;
An attribute reading step of reading the attribute of each product given to each product in the previous step;
Based on the attribute read in the attribute reading step, a processing time derivation step for deriving a processing time in the subsequent step of each product from the processing time storage means,
A scheduled end time deriving step for deriving a scheduled production end time for the production sequence candidate created in the production sequence candidate creating step based on the processing time in the subsequent step of each product derived in the processing time deriving step;
Final production order extraction for extracting one of the production order candidates from the plurality of production order candidates, where the planned production end time derived in the scheduled end time deriving step satisfies a preset condition, as a final production order A production order determination method comprising: a process.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010225058A (en) * 2009-03-25 2010-10-07 Mitsubishi Electric Corp Production management system
JP2017033407A (en) * 2015-08-04 2017-02-09 Jfeスチール株式会社 Purification plan generation device, purification plan generation method and purification plan generation program

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS6357154A (en) * 1986-08-25 1988-03-11 Fuji Electric Co Ltd Recording method for process data relating to product material
JPH07296076A (en) * 1994-04-21 1995-11-10 Omron Corp System and method for correction resource utilization order in production planning system
JPH10109155A (en) * 1996-10-03 1998-04-28 Kawasaki Steel Corp Method for finishing cast slab
JPH10216913A (en) * 1997-02-04 1998-08-18 Kawasaki Steel Corp Method for adjusting cast slab and control device therefor
JP2000277401A (en) * 1999-03-25 2000-10-06 Dainippon Screen Mfg Co Ltd Substrate processing device, simulation device therefor and computer readable recording media of simulation program thereof
JP2003186525A (en) * 2001-12-19 2003-07-04 Mitsubishi Electric Corp Device and method for drawing up plan
JP2005094010A (en) * 2003-09-16 2005-04-07 Asml Netherlands Bv Processing method of substrate, device and computer product
JP2006155011A (en) * 2004-11-26 2006-06-15 Jfe Steel Kk Production schedule planning device, and production schedule planning method
JP2006227978A (en) * 2005-02-18 2006-08-31 Dainippon Printing Co Ltd Production schedule plan evaluating system, production schedule plan evaluating method, and production schedule plan selecting method and production schedule plan improvement evaluating method using the same

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS6357154A (en) * 1986-08-25 1988-03-11 Fuji Electric Co Ltd Recording method for process data relating to product material
JPH07296076A (en) * 1994-04-21 1995-11-10 Omron Corp System and method for correction resource utilization order in production planning system
JPH10109155A (en) * 1996-10-03 1998-04-28 Kawasaki Steel Corp Method for finishing cast slab
JPH10216913A (en) * 1997-02-04 1998-08-18 Kawasaki Steel Corp Method for adjusting cast slab and control device therefor
JP2000277401A (en) * 1999-03-25 2000-10-06 Dainippon Screen Mfg Co Ltd Substrate processing device, simulation device therefor and computer readable recording media of simulation program thereof
JP2003186525A (en) * 2001-12-19 2003-07-04 Mitsubishi Electric Corp Device and method for drawing up plan
JP2005094010A (en) * 2003-09-16 2005-04-07 Asml Netherlands Bv Processing method of substrate, device and computer product
JP2006155011A (en) * 2004-11-26 2006-06-15 Jfe Steel Kk Production schedule planning device, and production schedule planning method
JP2006227978A (en) * 2005-02-18 2006-08-31 Dainippon Printing Co Ltd Production schedule plan evaluating system, production schedule plan evaluating method, and production schedule plan selecting method and production schedule plan improvement evaluating method using the same

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010225058A (en) * 2009-03-25 2010-10-07 Mitsubishi Electric Corp Production management system
JP2017033407A (en) * 2015-08-04 2017-02-09 Jfeスチール株式会社 Purification plan generation device, purification plan generation method and purification plan generation program

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