JPH08137959A - Process organizing device - Google Patents

Process organizing device

Info

Publication number
JPH08137959A
JPH08137959A JP27885894A JP27885894A JPH08137959A JP H08137959 A JPH08137959 A JP H08137959A JP 27885894 A JP27885894 A JP 27885894A JP 27885894 A JP27885894 A JP 27885894A JP H08137959 A JPH08137959 A JP H08137959A
Authority
JP
Japan
Prior art keywords
equipment
parts
similarity
pattern
facilities
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP27885894A
Other languages
Japanese (ja)
Inventor
Masaaki Mibuka
正昭 身深
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Toshiba Corp
Original Assignee
Toshiba Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Toshiba Corp filed Critical Toshiba Corp
Priority to JP27885894A priority Critical patent/JPH08137959A/en
Publication of JPH08137959A publication Critical patent/JPH08137959A/en
Pending legal-status Critical Current

Links

Classifications

    • 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

Landscapes

  • Multi-Process Working Machines And Systems (AREA)
  • General Factory Administration (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

PURPOSE: To simply and quickly prepare highly accurate and optimum process organization. CONSTITUTION: The similarity of respective facilities to be applied to the processing of respective parts is found out by a similar pattern sorting means 5 and respective parts are divided into respective patterns obtained by combining them in accordance with the similarity. Then respective facilities to be applied in each pattern is found out by a common facility/object parts setting means 6 respective facilities to be applied to respective patterns in common are judged and the processing order of each part in a facility is found out from respective facilities in each pattern to determine a line.

Description

【発明の詳細な説明】Detailed Description of the Invention

【0001】[0001]

【産業上の利用分野】本発明は、例えば多品種少量生産
の工程に最適なもので、TP(トータル・プロダクティ
ビティ:ストックレス・生産の工程編成)思想を組込ん
で自動的に各設備を配列して工程編成を行う工程編成装
置に関する。
BACKGROUND OF THE INVENTION The present invention is suitable for, for example, the process of high-mix low-volume production, and incorporates the TP (total productivity: stockless production process organization) concept to automatically install each facility. The present invention relates to a process knitting device that arranges and performs process knitting.

【0002】[0002]

【従来の技術】製品の生産にあたってその工程編成を実
施する場合、先ず、工程の実態を把握するためにPQ分
析表(品種数/生産量の関係)や工程分析表が作成され
る。これらPQ分析表を使って、「多品種少量のジョブ
ショップか少品種多量のフローラインか、…」等のチェ
ックを行う。
2. Description of the Related Art When a process is organized in the production of a product, first, a PQ analysis table (relationship between the number of types / production amount) and a process analysis table are prepared in order to grasp the actual condition of the process. Using these PQ analysis tables, a check such as “A job shop with a small amount of a large variety of products or a flow line with a large amount of a small variety of products ...” is performed.

【0003】さらに、物の流れの改善のために「1個お
くり同期化生産になっているか、遊休時間はないか、も
っと省人化できないか、…」等のチェックを行って流れ
線図(工程の流れ分析)を作成する。
Furthermore, in order to improve the flow of goods, a check is made such as "whether it is a one-piece synchronized production, is there idle time, is it more labor-saving?" Process flow analysis).

【0004】さらに、「工程を短くする方法はないか、
…」等をチェックして加工経路分析表を作成する。この
後、ライン編成効率はいくらか等のチェックを行ってラ
イン編成表効率を求め、さらに小人数化を行うためにフ
ァミリー表を作成し、その他に新工程レイアウト図を作
成し、効果予想等を行い、これらを総合的に判断し、工
程編成を行っている。
Furthermore, "Is there a way to shorten the process?
"..." is checked to create a machining route analysis table. After this, check the line formation efficiency to find the line formation table efficiency, create a family table to further reduce the number of people, create a new process layout diagram, and predict the effect etc. , And comprehensively judge these and organize the process.

【0005】しかしながら、このような工程編成は、P
Q分析表、流れ線図、加工経路分析表等を人(編成者)
が総合的に判断して工程編成するので、熟練者と非熟練
者とでは、これらの能力差によって得られる工程に差が
出てしまう。
However, such a process organization is P
Q analysis table, flow chart, processing route analysis table, etc.
Since the process is organized based on a comprehensive judgment by the skilled worker and the unskilled worker, there is a difference in the process obtained due to the difference in these capabilities.

【0006】又、熟練者であっても、設備台数が増加し
たり、多品種少量生産になると、その工程編成が難し
く、適性な工程編成が困難となる。すなわち、 (a) PQ分析、流れ線図等、個々の分析・評価は実施し
ているが、総合判断と工程編成とは、人手のために全体
を数理的に統合した最適な工程編成は非常に困難で不可
能に近い。 (b) 人手のため、個人の能力差が出る。TP思想を持っ
た人でなければ、適正な工程編成が非常に困難である。 (c) 人手のため、多品種少量生産等により編成条件が複
雑になると、精度の高い工程編成、つまりストックレ
ス、リードタイム短縮、稼働率向上した工程編成が非常
に困難となる。
[0006] Even for a skilled worker, if the number of equipment increases or high-mix low-volume production is performed, it becomes difficult to organize the process, and it becomes difficult to perform proper process organization. In other words, (a) PQ analysis, flow charts, and other individual analyzes and evaluations are carried out, but the overall judgment and process organization is that the optimal process organization that is mathematically integrated as a whole is very manual. Difficult and nearly impossible. (b) Due to human labor, individual abilities differ. Unless you have a TP idea, it is very difficult to organize the proper process. (c) If the knitting conditions become complicated due to human labor, such as high-mix low-volume production, it becomes very difficult to perform highly accurate process knitting, that is, stockless, lead time reduction, and operation rate improvement.

【0007】[0007]

【発明が解決しようとする課題】以上のように工程編成
は、PQ分析表等を総合的に判断しなければならないの
で、熟練者と非熟練者との能力差が出てしまう。又、熟
練者であっても、多品種少量生産等になると、その工程
編成が困難となる。そこで本発明は、精度の高い最適な
工程編成が簡単に短時間にできる工程編成装置を提供す
ることを目的とする。
As described above, in the process organization, since the PQ analysis table and the like must be comprehensively judged, there is a difference in ability between the skilled person and the unskilled person. Even for a skilled person, it becomes difficult to organize the process in the case of high-mix low-volume production. Therefore, it is an object of the present invention to provide a process knitting apparatus capable of performing highly accurate and optimum process knitting easily in a short time.

【0008】[0008]

【課題を解決するための手段】請求項1によれば、少な
くとも複数の設備に対して複数の部品の割付けを行った
データに基づいて、各部品の処理に適用される各設備の
類似度を各部品ごとに求め、この類似度に従って各部品
を組合わせた各パターンに分ける類似パターン分け手段
と、この類似パターン分け手段により得られた各パター
ンごとに適用される各設備を求め、これら設備のうち各
グループに対して共通して適用される各設備を判断する
共通設備・対象部品設定手段と、この共通設備・対象部
品判断手段により得られた各グループごとの各設備から
各部品ごとの設備に対する処理順序を求め、この処理順
序に従って各グループごとのラインを決定するライン・
ショップ設定手段と、を備えて上記目的を達成しようと
する工程編成装置である。
According to a first aspect of the present invention, based on data obtained by allocating a plurality of parts to at least a plurality of pieces of equipment, the degree of similarity of each piece of equipment applied to the processing of each part is calculated. Obtained for each part, the similar pattern dividing means for dividing each component into each pattern according to this similarity degree, and the equipment to be applied for each pattern obtained by this similar pattern dividing means, Of these, common equipment / target component setting means that determines each equipment commonly applied to each group, and equipment for each part from each equipment for each group obtained by this common equipment / target component determination means Lines that determine the processing order for and determine the line for each group according to this processing order.
And a shop setting means, which is a process knitting apparatus for achieving the above object.

【0009】請求項2によれば、類似パターン分け手段
は、少なくとも複数の設備に対して割付けを行った複数
の部品を示すデータに基づいて各部品相互ごとに設備の
全体数に対する類似設備数を示す類似度を求め、この類
似度に従って各部品を部品数ごとの各パターンに分ける
機能を有している。請求項3によれば、各グループごと
に決定されたラインにおける稼働率を求め、この稼働率
に基づいてラインバランスの補正を行う機能を有してい
る。
According to a second aspect of the present invention, the similar pattern dividing means determines the number of similar equipments with respect to the total number of equipments for each component based on data indicating a plurality of components assigned to at least a plurality of equipments. It has a function of obtaining the degree of similarity shown and dividing each part into each pattern for each number of parts according to this degree of similarity. According to the third aspect, there is a function of obtaining the operating rate of the line determined for each group and correcting the line balance based on the operating rate.

【0010】[0010]

【作用】請求項1によれば、各設備に対して各部品の割
付けを行ったデータに基づいて、各部品の処理に適用さ
れる各設備の類似度を各部品ごとに求め、この類似度に
従って各部品を組合わせた各パターンに分ける。次にこ
れらパターンごとに適用される各設備を求め、これら設
備のうち各グループに対して共通して適用される各設備
を判断する。そして、これらグループごとの各設備から
各部品ごとの設備に対する処理順序を求め、この処理順
序に従って各グループごとのラインを決定する。
According to the first aspect, the similarity of each facility applied to the processing of each component is obtained for each component based on the data obtained by assigning each component to each facility, and the similarity is calculated. According to, divide each part into each combined pattern. Next, each equipment to be applied for each of these patterns is obtained, and among these equipment, each equipment to be commonly applied to each group is determined. Then, the processing order for the equipment for each part is obtained from the equipment for each group, and the line for each group is determined according to this processing order.

【0011】請求項2によれば、類似パターンに分ける
場合、各設備に対して各部品を割付けたデータに基づい
て各部品相互ごとに類似設備数/設備全体数である類似
度を求め、この類似度に従って各部品を部品個数ごとの
各パターンに分けている。請求項3によれば、各グルー
プごとに決定されたラインにおける稼働率を求め、てラ
インバランスの補正を行う。
According to the second aspect, when the patterns are divided into similar patterns, the degree of similarity, which is the number of similar facilities / the total number of facilities, is calculated for each component based on the data in which each component is assigned to each facility. Each part is divided into each pattern according to the number of parts according to the degree of similarity. According to the third aspect, the operating rate of the line determined for each group is obtained, and the line balance is corrected.

【0012】[0012]

【実施例】以下、本発明の一実施例について図面を参照
して説明する。図1は工程編成装置の構成図である。主
制御部1には、入力部2、メモリ3、表示装置4が接続
されている。このうち入力部2は、外部の工程設計装置
等から複数の設備(作業人を含む)に対して複数の部品
の割付けを行ったデータが入力されるものとなってい
る。
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram of a process organization device. An input unit 2, a memory 3, and a display device 4 are connected to the main control unit 1. Of these, the input unit 2 receives data obtained by allocating a plurality of parts to a plurality of facilities (including workers) from an external process designing device or the like.

【0013】又、主制御部1は、指令を発して類似パタ
ーン分け手段5、共通設備・対象部品設定手段6、ライ
ン・ショップ設定手段7、ラインバランス補正手段8を
処理動作させる機能を有している。
Further, the main control section 1 has a function of issuing a command to process the similar pattern classifying means 5, common equipment / target part setting means 6, line / shop setting means 7, and line balance correction means 8. ing.

【0014】類似パターン分け手段5は、複数の設備及
び作業員に対して割付けを行った複数の部品を示すデー
タに基づいて、各部品の処理に適用される各設備の類似
度を各部品ごとに求め、この類似度に従って各部品を組
合わせた各パターンに分ける機能を有している。
The similar pattern dividing means 5 calculates the similarity of each facility applied to the processing of each component based on the data indicating the plurality of components allocated to the plurality of facilities and workers. , And has a function of dividing each part into each combined pattern according to this similarity.

【0015】具体的に類似パターン分け手段5は、類似
度部5a及びパターン分け部5bの各機能を有してい
る。類似度部5aは、複数の設備及び作業員に対して割
付けを行った複数の部品を示すデータに基づいて各部品
相互ごとに設備の全体数に対する類似設備数を示す類似
度(類似設備数/設備全体数)を求める機能を有してい
る。
Specifically, the similar pattern dividing means 5 has the respective functions of the similarity portion 5a and the pattern dividing portion 5b. The similarity unit 5a, based on data indicating a plurality of parts allocated to a plurality of equipments and workers, a similarity degree (number of similar equipments / number of similar equipments / total number of equipments for each part). It has a function to calculate the total number of facilities).

【0016】パターン分け部5bは、同一類似度に従っ
て各部品を部品個数(例えば1個〜4個)ごとの各パタ
ーンに分ける機能を有している。共通設備・対象部品設
定手段6は、類似パターン分け手段5により得られた各
パターンごとに部品の処理に適用される各設備及び作業
員を求め、これら設備及び作業員のうち各グループに対
して共通して適用される各設備及び作業員を判断する機
能を有している。
The pattern dividing section 5b has a function of dividing each component into patterns corresponding to the number of components (for example, 1 to 4) according to the degree of similarity. The common facility / target component setting means 6 obtains each facility and worker to be applied to the processing of the component for each pattern obtained by the similar pattern dividing means 5, and for each group among these facilities and workers. It has a function to judge each equipment and workers that are commonly applied.

【0017】ライン・ショップ設定手段7は、この共通
設備・対象部品判断手段6により得られた各グループご
との各設備及び作業員から各部品ごとの設備(作業員)
に対する処理順序を求め、この処理順序に従って各グル
ープごとに各設備の配列からなるラインを決定する機能
を有している。
The line / shop setting means 7 is a facility (worker) for each part from each facility and worker for each group obtained by the common facility / target part determination means 6.
It has a function of obtaining a processing order for each group, and determining a line consisting of the arrangement of each facility for each group according to this processing order.

【0018】ラインバランス補正手段8は、各グループ
ごとに決定されたラインにおけるリードタイムLTを求
め、このリードタイムLTに基づいてラインバランスの
補正を行う機能を有している。
The line balance correction means 8 has a function of obtaining the lead time LT of the line determined for each group and correcting the line balance based on this lead time LT.

【0019】次に上記の如く構成された装置の作用につ
いて説明する。工程編成は、図2に示すように製品の受
注があると、この受注に基づいて製品の設計・生産設計
を行い、次に工程設計を行い、この後に工程編成を行
う。
Next, the operation of the apparatus configured as described above will be described. As for process organization, when a product order is received as shown in FIG. 2, product design / production design is performed based on this order, then process design is performed, and then process organization is performed.

【0020】この工程編成は、図3の工程編成の処理手
順に従って行われる。すなわち、この処理手順#1〜#
11のうち処理手順#2〜#10が工程編成において処
理される。
This process organization is performed according to the process procedure of the process organization of FIG. That is, this processing procedure # 1 to #
Among the 11, processing procedures # 2 to # 10 are processed in the process organization.

【0021】この工程編成は、図4に示すように部品
群、設備群及び人群の各データに従って工程編成の処理
を実行する。この工程編成時には、(2) 類似割付け(部
品、設備)パターン、(3) ライン/ショップ設定、(4)
ラインバランスによる設定、(5) 連続運転設備設定(部
品、設備、時間帯)、(6) 調整サイクル設定の処理が行
われる。
In this process organization, as shown in FIG. 4, the process organization process is executed according to each data of the parts group, the equipment group and the people group. When this process is organized, (2) similar allocation (parts, equipment) pattern, (3) line / shop setting, (4)
The processing of line balance setting, (5) continuous operation equipment setting (parts, equipment, time zone), and (6) adjustment cycle setting are performed.

【0022】工程設計において割付部品の負荷と設備の
設定(形状、精度)が行われ、各設備に対して各部品の
割付けを行ったデータが入力部2に入力されると、この
データは、主制御部1によりメモリ3に格納される。
When load of allocated parts and setting of equipment (shape, accuracy) are performed in process design, and data obtained by allocating each part to each equipment is input to the input unit 2, this data becomes It is stored in the memory 3 by the main control unit 1.

【0023】このデータは、図5に示すように平準化期
間、スケジューリング期間の各処理により求めたもの
で、複数の設備D1〜D6に割り付けられた複数の部品
(物)P1〜P7を示している。
This data is obtained by each processing of the leveling period and the scheduling period as shown in FIG. 5, and shows a plurality of parts (objects) P1 to P7 assigned to a plurality of facilities D1 to D6. There is.

【0024】例えば、部品P1は各設備D1〜D3にお
いて処理されるものであり、部品P3は各設備D1、D
2、D4において処理されることを示している。次に処
理手順#3において類似パターン分け手段5の類似度部
5aは、各設備D1〜D6に対して割付けを行った各部
品P7〜P7のデータに基づいて各部品P7〜P7相互
ごとに設備全体数に対する類似設備数を示す類似度を求
める。
For example, the part P1 is processed in each of the facilities D1 to D3, and the part P3 is treated in each of the facilities D1 and D3.
2, it is shown that it is processed in D4. Next, in the processing procedure # 3, the similarity degree unit 5a of the similar pattern dividing means 5 installs the respective equipments P7 to P7 based on the data of the respective parts P7 to P7 assigned to the respective equipments D1 to D6. The degree of similarity indicating the number of similar facilities with respect to the total number is obtained.

【0025】すなわち、この類似度は、類似設備数/設
備全体数により求められる。例えば、設備全体数は、各
設備D1〜D6であることから「6」である。又、各部
品P1、P2において適用される各設備は、部品P1に
おいて各設備D1〜D3であり、部品P2において設備
D1〜D3であるので、共通する設備数つまり類似設備
数は「6」である。従って、類似度は、「6/6」とな
る。
That is, this degree of similarity is obtained by the number of similar facilities / the total number of facilities. For example, the total number of facilities is “6” because each of the facilities is D1 to D6. Further, since the equipments applied to the parts P1 and P2 are the equipments D1 to D3 in the part P1 and the equipments D1 to D3 in the part P2, the number of common equipments, that is, the similar equipments is “6”. is there. Therefore, the degree of similarity is "6/6".

【0026】又、各部品P3、P4において適用される
各設備は、部品P3において設備D1、D2、D4であ
り、部品P4において設備D4〜D6であるので、共通
する設備数つまり類似設備数は「2」である。従って、
類似度は、「2/6」となる。
Since the equipments applied to the parts P3 and P4 are the equipments D1, D2 and D4 in the part P3 and the equipments D4 to D6 in the part P4, the number of common equipments, that is, the number of similar equipments is It is "2". Therefore,
The similarity is “2/6”.

【0027】このようにして各部品P1〜P7の相互の
類似度が求められる。これら類似度は、図5に示すよう
に各部品P1〜P7相互間で「6/6」「4/6」「0
/6」等として求められる。
In this way, the mutual similarity of the parts P1 to P7 is obtained. As shown in FIG. 5, these similarities are “6/6”, “4/6”, and “0” among the parts P1 to P7.
/ 6 ”or the like.

【0028】次にパターン分け部5bは、同一類似度に
従って各部品を部品個数ごとの各パターンに分ける。す
なわち、各部品P1〜P7の相互の類似度「6/6」
「4/6」「2/6」「0/6」のうち類似度「6/
6」は、各部品P1、P2、及び各部品P4、P5であ
り、類似度「4/6」は各部品P3、P7である。
Next, the pattern dividing section 5b divides each component into each pattern for each number of components according to the degree of similarity. That is, the degree of similarity between the parts P1 to P7 is “6/6”.
Of “4/6”, “2/6”, and “0/6”, the similarity “6 /
6 ”is the parts P1 and P2 and the parts P4 and P5, and the similarity“ 4/6 ”is the parts P3 and P7.

【0029】次にパターン分け部5bは、これら類似度
別の各部品に基づいて各部品P1〜P7を部品個数ごと
の各パターンに分ける。すなわち、図5に示すように同
一類似度、類似度1、2、3の順でグループ化(G化)
し、さらにこのグループ化内を複数の各パターンに分け
る。
Next, the pattern dividing section 5b divides each of the parts P1 to P7 into each pattern for each number of parts based on each part of each similarity. That is, as shown in FIG. 5, grouping (G conversion) is performed in the order of the same similarity and the similarities 1, 2, and 3.
Then, the grouping is divided into a plurality of patterns.

【0030】例えば、グループ数(G数)「4」では、
各パターンP1−P2、P4−P5、P3−P7、P6
となる。又、グループ数「3」では、各パターンP1−
P2−P3、P4−P5−P7、P6となる。
For example, when the number of groups (number of G) is "4",
Each pattern P1-P2, P4-P5, P3-P7, P6
Becomes Further, when the number of groups is "3", each pattern P1-
It becomes P2-P3, P4-P5-P7, and P6.

【0031】次に処理手順#4において、共通設備・対
象部品設定手段6は、類似パターン分け手段5から類似
度に応じた各グループごとに適用される各設備D1〜D
6を求め、これら設備D1〜D6のうち各パターンP1
−P2、P4−P5、…に対して共通して適用される各
設備D1〜D6を判断する。
Next, in the processing procedure # 4, the common equipment / target part setting means 6 applies the respective equipments D1 to D applied from the similar pattern dividing means 5 to each group according to the degree of similarity.
6 is obtained, and each pattern P1 among these facilities D1 to D6
-Each equipment D1 to D6 commonly applied to P2, P4-P5, ... Is judged.

【0032】すなわち、図6に示すように各グループ数
「4」〜「1」ごとに分けた各パターンP1−P2、P
4−P5、…ごとに適用する各設備D1〜D6を求める
と、例えばグループ数「4」の場合、パターンP1−P
2において各設備D1〜D3であり、パターンP4−P
5において各設備D4〜D6であり、パターンP3−P
7において各設備D1、D2、D4、D6である。
That is, as shown in FIG. 6, each pattern P1-P2, P divided for each group number "4" to "1".
When the respective equipments D1 to D6 to be applied to each of the 4-P5, ...
2 is each equipment D1 to D3, and the pattern P4-P
5 is each equipment D4 to D6, and the pattern P3-P
7 are the facilities D1, D2, D4, and D6.

【0033】このように各パターンP1−P2、P4−
P5、…ごとに適用する設備を求めると、例えば設備D
1は各パターンP1−P2及びP3−P7に共用し、設
備D2は同様に各パターンP1−P2及びP3−P7に
共用し、設備D4は各パターンP4−P5及びP3−P
7に共用することが分かる。
In this way, each pattern P1-P2, P4-
When the equipment to be applied is calculated for each P5, ...
1 is shared by each pattern P1-P2 and P3-P7, equipment D2 is similarly shared by each pattern P1-P2 and P3-P7, and equipment D4 is each pattern P4-P5 and P3-P.
You can see that it is shared with 7.

【0034】この共通設備・対象部品設定手段6は、残
りの各グループ数「3」〜「1」に対して適用される各
設備D1〜D6を求め、これら設備D1〜D6のうち各
パターンP1−P2−P3、…に対して共通して適用さ
れる各設備D1〜D6を判断する。
The common facility / target part setting means 6 finds each facility D1 to D6 to be applied to each of the remaining groups "3" to "1", and selects each pattern P1 from these facilities D1 to D6. -P2-P3, ... Determines each of the facilities D1 to D6 commonly applied.

【0035】次に処理手順#5において、ライン・ショ
ップ設定手段7は、共通設備・対象部品判断手段6によ
り得られた各パターンごとに共用される各設備に基づい
て図7に示すように各部品P1〜P7ごとの各設備D1
〜D6に対する処理順序を求める。
Next, in the processing procedure # 5, the line / shop setting means 7 determines the respective equipments as shown in FIG. 7 based on the respective equipments shared by each pattern obtained by the common equipment / target component judging means 6. Equipment D1 for each of the parts P1 to P7
Obtain the processing order for D6.

【0036】例えば、部品P1の処理順序は、各設備D
1−D3−D2となる。又、部品P2の処理順序は各設
備D1−D3−D2となり、部品P3の処理順序は各設
備D1−D4−D2となり、部品P4の処理順序は各設
備D4−D6−D5となる。
For example, the processing order of the parts P1 is as follows:
1-D3-D2. Further, the processing order of the part P2 is each equipment D1-D3-D2, the processing order of the part P3 is each equipment D1-D4-D2, and the processing order of the part P4 is each equipment D4-D6-D5.

【0037】このように設備の処理順序が求められる
と、ライン・ショップ設定手段7は、この処理順序及び
設備の共用のデータに従って各パターンP1−P2、P
4−P5、…ごとにラインを決定する。
When the processing order of the equipment is obtained in this way, the line shop setting means 7 sets the patterns P1-P2, P according to the data common to the processing order and the equipment.
A line is determined for each 4-P5, ....

【0038】例えば、パターンP1−P2では、各設備
の配列順序がD1−D3−D2の直列配列となる。な
お、図7において複数部品の割付け順位と配列順位が等
しい設備に「0」が付され、異なる設備に「1」が付さ
れている。
For example, in the pattern P1-P2, the arrangement order of the respective facilities is a serial arrangement of D1-D3-D2. It should be noted that in FIG. 7, equipment having the same allocation order and arrangement order of a plurality of parts is given "0", and different equipment is given "1".

【0039】又、パターンP4−P5では、各設備D
4、D6において異なる設備を示す「1」が付されてい
るので、各設備の配列順序はD4とD6とが並列接続さ
れ、これら設備D4/D6に設備D5が直列接続された
配列となる。
In the patterns P4 to P5, each equipment D
Since 4 and D6 are provided with "1" indicating different equipment, the arrangement order of each equipment is such that D4 and D6 are connected in parallel, and equipment D5 is connected in series to these equipment D4 / D6.

【0040】なお、各設備D1−D3−D2の配列にお
いて、設備D1の処理が追加された場合、例えば設備D
1が2台以上あれば、図8に示すように各設備D1−D
3−D2−D1の配列となる。
In the arrangement of each equipment D1-D3-D2, when the processing of the equipment D1 is added, for example, the equipment D
If there are two or more units 1, each facility D1-D as shown in FIG.
The arrangement is 3-D2-D1.

【0041】又、同設備D1−D3−D2の配列におい
て、例えば設備D1が2台以上ある場合は、図9に示す
ように設備D1−D3−D2の配列で、再び設備D1に
戻る工程となる。
In the arrangement of the facilities D1-D3-D2, for example, when there are two or more facilities D1, the process of returning to the facility D1 again with the arrangement of the facilities D1-D3-D2 as shown in FIG. Become.

【0042】次に処理手順#6において、ラインバラン
ス補正手段8は、上記決定されたラインに対するシミュ
レーションを実行して各パターンP1−P2、P4−P
5、…ごとに決定されたラインにおけるリードタイムL
Tを求め、このリードタイムLTに基づいてラインバラ
ンスの補正を行う。
Next, in the processing procedure # 6, the line balance correction means 8 executes the simulation for the determined line to execute each pattern P1-P2, P4-P.
Lead time L in the line determined for every 5 ...
T is calculated, and the line balance is corrected based on this lead time LT.

【0043】例えばパターンP1−P2では、図10に
示すように例えば各部品P1、P2ごとに各設備D1、
D3、D2に対する待ち時間を求め、これら待ち時間か
ら各部品P1、P2ごとのリードタイムLTを求める。
そして、これらリードタイムLTに基づいて稼働率を求
める。
For example, in the pattern P1-P2, as shown in FIG. 10, for example, each equipment P1, P2 for each equipment D1,
The waiting time for D3 and D2 is calculated, and the lead time LT for each component P1 and P2 is calculated from these waiting times.
Then, the operating rate is obtained based on these lead times LT.

【0044】これらの平均稼働率が当初予定の稼働率に
達しない場合は、図5に示すG数を見て、一段下のG数
も選択し、前と同様に設備配置を行い、平均のリードタ
イムLT、平均稼働率(“[ ]”内)を算出・設定す
る。
If these average operating rates do not reach the initially planned operating rates, look at the G numbers shown in FIG. 5, select the G numbers one step lower, and perform the equipment arrangement in the same manner as before, Calculate and set the lead time LT and average operating rate (within "[]").

【0045】通常、図12に示されるような関係が、G
数と対象部品、設備配置、稼働率と平均LTの間にある
ので、製造環境に適した、より適正なG数の設備配置が
選択可能となる。
Normally, the relationship as shown in FIG.
Since it is between the number and the target parts, the equipment arrangement, and the operating rate and the average LT, it is possible to select a more appropriate equipment arrangement of G number suitable for the manufacturing environment.

【0046】又、各パターンの部品数が多い場合は、図
11に示すように類似部品による順序付けを行ってその
負荷の平準化をはかり、その後、上記平均のリードタイ
ムLTと稼働率を算出・設定する必要がある。これらの
方法により、より適正なライン/ショップの設定が可能
となる。
When the number of parts in each pattern is large, as shown in FIG. 11, the parts are ordered by similar parts to balance the load, and then the average lead time LT and the operating rate are calculated. Must be set. By these methods, more appropriate line / shop settings can be set.

【0047】次に処理手順#7において、主制御部1
は、連続運転可能な設備D1〜D6、例えば機械加工の
場合の工具破損自動検出器とその設備で加工する部品を
対象に、その負荷の大きい順に検索し、処理手順#8に
おいて処理時間の大きさにより、夜間連続運転用、昼休
み運転用などの時間帯を設定する。これは自動スケジュ
ーリングの対象となる。
Next, in processing procedure # 7, the main controller 1
Searches for equipment D1 to D6 capable of continuous operation, for example, a tool damage automatic detector in the case of machining and parts to be machined by the equipment, in descending order of load, and in processing procedure # 8, the processing time is large. Therefore, the time zones for nighttime continuous operation, lunch break operation, etc. are set. This is subject to automatic scheduling.

【0048】次に主制御部1は、処理手順#9において
各設備D1〜D6の段取り・操作時間、部品供給時間の
和と作業者の能力(稼働時間)から多工程待ちの範囲を
設定する。
Next, the main control unit 1 sets a multi-process waiting range based on the sum of the setup / operation time of each of the equipments D1 to D6, the sum of the parts supply time, and the worker's ability (operating time) in processing procedure # 9. .

【0049】最後に主制御部1は、処理手順#10にお
いて加工部品の供給場所・加工が遅れている部品のn日
遅れの色表示、例えば赤、黄、緑の設定を行う。このよ
うに上記一実施例においては、各部品P1〜P7の処理
に適用される各設備D1〜D6の類似度を求め、この類
似度に従って各部品P1〜P7を組合わせた各パターン
に分け、これらパターンごとに適用される各設備D1〜
D6を求めて各パターンに対して共通して適用される各
設備D1〜D6を判断し、これらパターンごとの各設備
D1〜D6から各部品P1〜P7ごとの設備D1〜D6
に対する処理順序を求めてラインを決定するようにした
ので、次のような各効果を得ることができる。 (a) TP(総合生産性)のストックレス生産の思想をベ
ースとした工程編成の自動化ができ、この工程のリード
タイム短縮、ストック量の低減、稼働率の向上が図れ
る。 (b) 精度の高い工程編成を、非熟練者であっても簡単に
できる。 (c) 工程編成機能をモジュール化しているので、CAD
を含む製品設計、生産計画と直結した工程編成が可能と
なる。これにより、既存システムに組み込んで、設備の
切り替えを迅速に指示し、多品種少量生産の効率を向上
できる。 (d) 新しい仕様の部品を設備(ライン/ショップ)に割
り付ける場合、工程編成機能が持っている類似設備・部
品のパターン分け機能(一種のクラスター分析)によ
り、既存の設備パターンに、短時間にかつ効果的に割付
けできる。これにより、リードタイム短縮、ストック量
の低減、稼働率の向上がはかれる。
Finally, the main control unit 1 performs the color display with a delay of n days, for example, red, yellow, and green, for the supply location of the processed part and the part whose processing is delayed in the processing procedure # 10. As described above, in the above-described embodiment, the degree of similarity of each of the equipments D1 to D6 applied to the processing of each of the components P1 to P7 is obtained, and each of the components P1 to P7 is divided into each pattern according to the similarity, Each equipment D1 applied to each of these patterns
D6 is obtained to determine the equipments D1 to D6 commonly applied to each pattern, and the equipments D1 to D6 for each pattern to the equipments D1 to D6 for each part P1 to P7 are determined.
Since the line is determined by obtaining the processing order for, the following effects can be obtained. (a) The process organization based on the concept of TP (total productivity) stockless production can be automated, and the lead time of this process can be shortened, the stock amount can be reduced, and the operating rate can be improved. (b) Even a non-skilled person can easily perform highly accurate process organization. (c) Since the process organization function is modularized, CAD
It is possible to organize the process directly linked to the product design and production plan including. As a result, it can be incorporated into an existing system to promptly switch equipment and improve the efficiency of high-mix low-volume production. (d) When allocating parts with new specifications to equipment (lines / shops), the process organization function has a pattern classification function (a kind of cluster analysis) of similar equipment / parts, which allows existing equipment patterns to be created in a short time. And can be allocated effectively. As a result, the lead time can be shortened, the stock amount can be reduced, and the operation rate can be improved.

【0050】従って、精度の高い最適な工程編成が簡単
に短時間にでき、全体を数理的に統合した最適な工程編
成ができる。なお、本発明は、上記一実施例に限定され
るものでなく次の通りに変形してもよい。
Therefore, highly accurate and optimal process organization can be easily performed in a short time, and the optimum process organization that is mathematically integrated as a whole can be performed. The present invention is not limited to the above-mentioned one embodiment and may be modified as follows.

【0051】例えば、加工・組立て工程に限らず、物、
図面、伝票、人等の流れと、それを処理する設備や人等
の工程から編成される全ての工程編成に適用できる。具
体的には、物において、機械加工以外の生産加工工程の
工程編成、物流部門の工程編成。
For example, not only processing and assembling steps but also things,
The present invention can be applied to the flow of drawings, slips, people, etc., and all process organization that is organized from the processes of equipment, people, etc. that process it. Specifically, for products, process organization of production processing processes other than machining, process organization of logistics department.

【0052】物・図面において、検査工程、設計工程の
設備・人の工程編成。伝票において、事務処理部門の工
程編成。食品において、食品加工部門の工程編成。
On the object / drawing, the process organization of the equipment / person for the inspection process and design process. On the slip, the process organization of the office processing department. For food, the process organization of the food processing department.

【0053】さらに、工程編成機能が持つ類似設備・部
品のパターン分け機能より、比較本体とその各種属性に
よる類似な本体の分類(クラスター分析)が可能である
ので、各種類似項目のクラス分け・類似検索が可能であ
る。これにより、例えば部品本体と部品が持っている各
種図形要素から類似図形の分類が可能となり類似図面の
検索も可能となる。
Further, since the comparison main body and the similar main body according to its various attributes (cluster analysis) can be classified by the pattern dividing function of the similar equipment / parts of the process organization function, the classification / similarity of various similar items can be obtained. It is possible to search. As a result, for example, similar graphics can be classified based on the component body and various graphic elements possessed by the component, and similar drawings can be searched.

【0054】[0054]

【発明の効果】以上詳記したように本発明によれば、精
度の高い最適な工程編成が簡単に短時間にできる工程編
成装置を提供できる。
As described above in detail, according to the present invention, it is possible to provide a process knitting apparatus capable of performing highly accurate and optimum process knitting easily in a short time.

【図面の簡単な説明】[Brief description of drawings]

【図1】本発明に係わる工程編成装置の一実施例を示す
構成図。
FIG. 1 is a configuration diagram showing an embodiment of a process organization device according to the present invention.

【図2】受注から工程編成までの流れを示す図。FIG. 2 is a diagram showing a flow from order reception to process organization.

【図3】工程編成の処理手順を示す図。FIG. 3 is a diagram showing a processing procedure of process organization.

【図4】工程編成処理の概要を示す図。FIG. 4 is a diagram showing an outline of process organization processing.

【図5】類似パターン分けの処理を示す図。FIG. 5 is a diagram showing a process of classifying similar patterns.

【図6】共通設備・対象部品設定の処理を示す図。FIG. 6 is a diagram showing a process of setting common equipment / target parts.

【図7】ライン・ショップ設定の処理を示す図。FIG. 7 is a diagram showing a process of setting a line shop.

【図8】ライン決定の他の例を示す図。FIG. 8 is a diagram showing another example of line determination.

【図9】ライン決定の他の例を示す図。FIG. 9 is a diagram showing another example of line determination.

【図10】ラインバランス補正の処理を示す図。FIG. 10 is a diagram showing a process of line balance correction.

【図11】ラインバランス補正の処理を示す図。FIG. 11 is a diagram showing a process of line balance correction.

【図12】ラインバランス補正の処理を示す図。FIG. 12 is a diagram showing a process of line balance correction.

【符号の説明】[Explanation of symbols]

1…主制御部、2…入力部、3…メモリ、5…類似パタ
ーン分け手段、6…共通設備・対象部品設定手段、7…
ライン・ショップ設定手段、8…ラインバランス補正手
段。
DESCRIPTION OF SYMBOLS 1 ... Main control part, 2 ... Input part, 3 ... Memory, 5 ... Similar pattern classification means, 6 ... Common equipment / target component setting means, 7 ...
Line shop setting means, 8 ... Line balance correction means.

Claims (3)

【特許請求の範囲】[Claims] 【請求項1】 少なくとも複数の設備に対して複数の部
品を割付けたデータに基づいて、前記各部品の処理に適
用される前記各設備の類似度を前記各部品ごとに求め、
この類似度に従って前記各部品を組合わせた各パターン
に分ける類似パターン分け手段と、 この類似パターン分け手段により得られた前記各パター
ンごとに適用される前記各設備を求め、これら設備のう
ち前記各グループに対して共通して適用される前記各設
備を判断する共通設備・対象部品設定手段と、 この共通設備・対象部品設定手段により得られた各グル
ープごとの前記各設備から前記各部品ごとの前記設備に
対する処理順序を求め、この処理順序に従って各グルー
プごとのラインを決定するライン・ショップ設定手段
と、を具備したことを特徴とする工程編成装置。
1. Based on data obtained by allocating a plurality of parts to at least a plurality of pieces of equipment, the degree of similarity of each piece of equipment that is applied to the processing of the parts is obtained for each of the parts,
Similar pattern dividing means for dividing the respective parts into respective patterns in accordance with the degree of similarity and the respective equipment to be applied for each of the patterns obtained by the similar pattern dividing means are obtained. Common equipment / target parts setting means for judging each equipment commonly applied to a group, and each equipment from each equipment for each group obtained by this common equipment / target parts setting means And a line shop setting means for determining a processing order for the equipment and determining a line for each group according to the processing order.
【請求項2】 類似パターン分け手段は、少なくとも複
数の設備に対して割付けを行った複数の部品を示すデー
タに基づいて前記各部品相互ごとに前記設備の全体数に
対する類似設備数を示す類似度を求め、この類似度に従
って前記各部品を部品数ごとの各パターンに分ける機能
を有することを特徴とする請求項1記載の工程編成装
置。
2. Similarity pattern dividing means, based on data indicating a plurality of parts assigned to at least a plurality of facilities, similarity degree indicating the number of similar facilities with respect to the total number of the facilities for each of the components. The process knitting apparatus according to claim 1, wherein the process knitting device has a function of determining each of the parts and dividing each of the parts into each pattern according to the number of parts.
【請求項3】 各グループごとに決定されたラインにお
ける稼働率を求め、この稼働率に基づいてラインバラン
スの補正を行う機能を有することを特徴とする請求項1
記載の工程編成装置。
3. An operation rate for a line determined for each group is calculated, and a line balance correction function is provided based on the operation rate.
The described process organization device.
JP27885894A 1994-11-14 1994-11-14 Process organizing device Pending JPH08137959A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP27885894A JPH08137959A (en) 1994-11-14 1994-11-14 Process organizing device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP27885894A JPH08137959A (en) 1994-11-14 1994-11-14 Process organizing device

Publications (1)

Publication Number Publication Date
JPH08137959A true JPH08137959A (en) 1996-05-31

Family

ID=17603119

Family Applications (1)

Application Number Title Priority Date Filing Date
JP27885894A Pending JPH08137959A (en) 1994-11-14 1994-11-14 Process organizing device

Country Status (1)

Country Link
JP (1) JPH08137959A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014021755A (en) * 2012-07-19 2014-02-03 Juki Corp Line balance improvement strategy providing device, line balance improvement strategy extraction method and line balance improvement strategy extraction program
WO2019069793A1 (en) * 2017-10-02 2019-04-11 株式会社日立製作所 Work man-hour estimating device and work instruction system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014021755A (en) * 2012-07-19 2014-02-03 Juki Corp Line balance improvement strategy providing device, line balance improvement strategy extraction method and line balance improvement strategy extraction program
WO2019069793A1 (en) * 2017-10-02 2019-04-11 株式会社日立製作所 Work man-hour estimating device and work instruction system
JP2019067170A (en) * 2017-10-02 2019-04-25 株式会社日立製作所 Work man-hour estimating device and work instructing system

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