JP7427867B2 - Worker placement device, worker placement method, and worker placement program - Google Patents
Worker placement device, worker placement method, and worker placement program Download PDFInfo
- Publication number
- JP7427867B2 JP7427867B2 JP2019063259A JP2019063259A JP7427867B2 JP 7427867 B2 JP7427867 B2 JP 7427867B2 JP 2019063259 A JP2019063259 A JP 2019063259A JP 2019063259 A JP2019063259 A JP 2019063259A JP 7427867 B2 JP7427867 B2 JP 7427867B2
- Authority
- JP
- Japan
- Prior art keywords
- worker
- work
- priority
- workers
- aptitude
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims description 153
- 238000004519 manufacturing process Methods 0.000 claims description 15
- 230000007423 decrease Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- FFBHFFJDDLITSX-UHFFFAOYSA-N benzyl N-[2-hydroxy-4-(3-oxomorpholin-4-yl)phenyl]carbamate Chemical compound OC1=C(NC(=O)OCC2=CC=CC=C2)C=CC(=C1)N1CCOCC1=O FFBHFFJDDLITSX-UHFFFAOYSA-N 0.000 description 1
- 238000012938 design process Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000005477 standard model Effects 0.000 description 1
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- General Factory Administration (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Description
本発明は、作業者配置装置および作業者配置方法に関する。 The present invention relates to a worker placement device and a worker placement method.
電子・電気産業などの組立製造プロセスにおいて複数の作業者によるリレー生産を行う際、各作業者が担当する作業工程を割り付ける工程設計を行う。一般的には、各作業工程に設定される標準作業時間(Standard Time、以下STと表す)を基に、各工程の作業時間バランスができる限り均一になるよう作業範囲を決め、各工程に対して作業者をそれぞれ割り当てる。 When performing relay production by multiple workers in assembly manufacturing processes such as those in the electronics and electrical industries, process design is performed to allocate the work steps each worker is responsible for. Generally, based on the standard working time (hereinafter referred to as ST) set for each work process, the work range is determined so that the work time balance of each process is as uniform as possible, and the work range is set for each process. Assign each worker accordingly.
しかしながら、各作業者の作業スキルには差があるため、作業者毎の作業時間にズレが生じる。その結果、STを基に設計された工程割り付けでは作業時間バランスが崩れるという課題がある。例えば、新人とベテランが隣り合って工程割り付けされた場合、新人の作業が遅くてベテランに作業待ちが発生する。この問題を解決するために、作業者のスキルを考慮した工程割付方法が検討されている。 However, since there are differences in the work skills of each worker, a difference occurs in the working time of each worker. As a result, there is a problem that the work time balance is disrupted when the process allocation is designed based on ST. For example, if a newcomer and a veteran are assigned processes next to each other, the newcomer will be slow and the veteran will have to wait. In order to solve this problem, a process allocation method that takes worker skills into consideration is being considered.
このような工程割付方法を開示した文献として、例えば、特許文献1が知られている。特許文献1では、同じ時間内で消化できるSTを作業者ごとに係数化して、各作業者を投入した時に期待できる消化ST量を算出している。これにより、作業者能力を考慮した工程設計を可能としている。
For example,
しかし、一般的には作業者スキルは工程ごとに差があるため、特許文献1のように総合的に評価したスキルで見積もった作業量が、消化できるとは限らないという問題がある。また、作業者毎に作業スキルを身に付ける期間も異なるため、短期的あるいは長期的な視点で作業スキルを考慮する必要がある。
However, since worker skills generally vary depending on the process, there is a problem in that the amount of work estimated based on comprehensively evaluated skills as in
本発明は、上記の問題点に鑑みてなされたものであり、生産効率の良い作業者配置を設計できる作業者配置装置を提供することを目的としている。 The present invention has been made in view of the above-mentioned problems, and an object of the present invention is to provide a worker arrangement device that can design worker arrangement with high production efficiency.
上記の課題を解決するため、作業者配置装置は、作業実績記憶手段と、工程別作業時間ばらつき算出手段と、作業者の工程適性算出手段と、作業者割付優先順位設定手段とを有する。作業実績記憶手段は、生産ラインの複数の工程における作業者の作業実績を記憶する。工程別作業時間ばらつき算出手段は、それぞれの工程における作業時間のばらつきを工程別に算出する。作業者の工程適性算出手段は、それぞれの作業者の各工程に対する適性である作業者の工程適性を算出する。作業者割付優先順位設定手段は、作業時間のばらつきが大きい工程に対し、作業者を割付ける作業者割付優先順位を高く設定する。そして、作業者割付優先順位が高い工程に対して割付ける作業者について、当該工程の適性が高い作業者に高い割付優先順位を付加する。 In order to solve the above problems, the worker allocation device includes a work record storage means, a work time variation calculation means for each process, a worker process aptitude calculation means, and a worker allocation priority order setting means. The work record storage means stores the work records of workers in a plurality of processes on the production line. The process-by-process work time variation calculation means calculates the work time variation in each process for each process. The worker's process aptitude calculation means calculates the worker's process aptitude, which is the aptitude of each worker for each process. The worker assignment priority setting means sets a high worker assignment priority for assigning workers to processes with large variations in work time. Then, regarding workers to be assigned to a process having a high worker assignment priority, a high assignment priority is given to a worker who is highly suited for the process.
本発明の効果は、生産効率の良い作業者配置を設計できる作業者配置装置を提供できることである。 An advantage of the present invention is that it is possible to provide a worker arrangement device that can design worker arrangement with high production efficiency.
以下、図面を参照しながら、本発明の実施形態を詳細に説明する。但し、以下に述べる実施形態には、本発明を実施するために技術的に好ましい限定がされているが、発明の範囲を以下に限定するものではない。なお各図面の同様の構成要素には同じ番号を付し、説明を省略する場合がある。 Embodiments of the present invention will be described in detail below with reference to the drawings. However, although the embodiments described below include technically preferable limitations for implementing the present invention, the scope of the invention is not limited to the following. Note that similar components in each drawing are given the same numbers, and descriptions thereof may be omitted.
(第1の実施形態)
図1は、本実施形態の作業者配置装置を示すブロック図である。作業者配置装置は、
作業実績記憶手段1と、工程別作業時間ばらつき算出手段2と、作業者の工程適性算出手段3と、作業者割付優先度設定手段4とを有する。
(First embodiment)
FIG. 1 is a block diagram showing a worker placement device according to this embodiment. The worker placement device is
It has a work performance storage means 1, a work time variation calculation means 2 for each process, a worker process aptitude calculation means 3, and a worker allocation priority setting means 4.
作業実績記憶手段1は、生産ラインの複数の工程における作業者の作業実績を記憶する。工程別作業時間ばらつき算出手段2は、それぞれの工程における作業時間のばらつきを工程別に算出する。作業者の工程適性算出手段3は、それぞれの作業者の各工程に対する適性である作業者の工程適性を算出する。作業者割付優先度設定手段4は、作業時間のばらつきが大きい工程に対し、作業者を割付ける作業者割付優先順位を高く設定する。そして、作業者割付優先順位が高い工程に対して割付ける作業者について、当該工程の適性が高い作業者に高い割付優先順位を付加する。
The work record storage means 1 stores the work records of workers in a plurality of processes on a production line. The work time
図2は、この動作を示すフローチャートである。まず、作業実績に基づいて、工程ごとに作業時間のばらつきを算出する(S1)。ばらつきの評価は、例えばレンジや、分散や、標準偏差を用いて行うことができる。なお、以降の説明は、標準偏差を例に用いて行う。次に、作業時間のばらつきが大きい順に、作業者を割付ける工程の優先順位を設定する(S2)。次に、作業実績に基づいて作業者の各工程に対する工程適性を順位付けする(S3)。そして、業者割付優先順位の高い工程に、適性の高い順に作業者を割り付ける(S4)。 FIG. 2 is a flowchart showing this operation. First, the variation in working time for each process is calculated based on the working results (S1). The variation can be evaluated using, for example, range, variance, or standard deviation. Note that the following explanation will be given using standard deviation as an example. Next, priorities are set for the processes to which workers are assigned in descending order of the variation in work time (S2). Next, the process suitability of the workers for each process is ranked based on the work performance (S3). Then, workers are assigned to the processes with the highest priority for worker assignment in descending order of suitability (S4).
作業時間のばらつきが大きい工程は、作業者の適性(スキル)による作業時間の差が大きいと考えられる。すなわちこの工程に適性の低い作業者を配置すると、工程の遅れが大きくなる。一方で、作業時間のばらつきが小さい工程では、適性の高い作業者を配置しても、適性の低い作業者を配置しても、作業時間があまり変わらない。したがって、作業時間のばらつきの大きな工程に、この工程に適性の高い作業者を配置することで、全体の作業時間を短縮し、高い生産効率を得ることができる。 Processes with large variations in work time are considered to have large differences in work time depending on the aptitude (skill) of the workers. In other words, if a worker with low aptitude is assigned to this process, the delay in the process will increase. On the other hand, in a process where the variation in work time is small, the work time does not change much whether a worker with high aptitude or a worker with low aptitude is assigned. Therefore, by assigning a worker who is highly suited to a process with large variations in work time, the overall work time can be shortened and high production efficiency can be obtained.
(第2の実施形態)
本実施形態では、工程に対する作業者割付優先順位の設定動作について説明する。図3は、この動作を示すフローチャートである。まず各工程における作業時間の標準偏差を算出する(S101)。次に、標準偏差の大きい順に工程の優先度を付加する(S102)。ここで、優先度が同じ、すなわち標準偏差が同じ工程が無かった場合は(S103_No)、優先度を確定して終了する。
(Second embodiment)
In this embodiment, an operation for setting worker allocation priority for a process will be described. FIG. 3 is a flowchart showing this operation. First, the standard deviation of working time in each process is calculated (S101). Next, priorities are added to the processes in descending order of standard deviation (S102). Here, if there are no processes with the same priority, that is, with the same standard deviation (S103_No), the priority is determined and the process ends.
一方で、優先度が同じ工程があった場合は(S103_Yes)、優先度が同じ対象工程の工程難易度を算出する(S104)。そして難易度が高い順に、高い優先度を付加する(S105)。ここで、工程難易度が同じ工程が無かった場合は(S106_No)、優先度を確定して終了する。 On the other hand, if there are processes with the same priority (S103_Yes), the process difficulty level of the target processes with the same priority is calculated (S104). Then, a higher priority is added in descending order of difficulty (S105). Here, if there is no process with the same process difficulty (S106_No), the priority is determined and the process ends.
一方で、工程難易度が同じ工程があった場合は(S106_Yes)、先に実施する工程に対し高い優先度を付加する(S107)。 On the other hand, if there are processes with the same process difficulty (S106_Yes), a higher priority is added to the process to be performed first (S107).
次に、上記の説明で用いた工程難易度の算出方法について説明する。本実施形態では工程難易度は値が小さいほど、その工程の標準作業時間に対して時間的余裕を持つ作業者が少ない、つまり作業者にとって難しい作業であることを示すものとする。そして次式により、工程難易度を算出する。ここで、作業者の番号をi、作業者の人数をmとする。
工程難易度=Σ(ST-作業者iの作業時間)/m ・・・・・(1)
次に、工程の優先度産出の具体例について説明する。図4は、ある生産ラインにおける作業実績を示す表である。表には、作業者と、工程と、作業者が工程を担当した時の作業時間が記入されている。表の縦のデータは、ある工程を各作業者が担当した時の作業時間である。この縦のデータを用いることで、当該工程における作業時間のばらつきを評価することができる。ここでは標準偏差を計算している。計算された標準偏差の大きさは、工程2>工程4>工程3>工程5>工程1の順番なので、優先度もこの順番となる。
Next, a method of calculating the process difficulty level used in the above explanation will be explained. In this embodiment, it is assumed that the smaller the value of the process difficulty level, the fewer workers have time to spare compared to the standard work time for the process, that is, the work is more difficult for the workers. Then, the process difficulty level is calculated using the following formula. Here, let the worker number be i and the number of workers be m.
Process difficulty = Σ (ST - work time of worker i) / m ... (1)
Next, a specific example of process priority generation will be described. FIG. 4 is a table showing work performance on a certain production line. In the table, workers, processes, and working hours when the workers were in charge of the processes are entered. The vertical data in the table is the working time when each worker was in charge of a certain process. By using this vertical data, it is possible to evaluate the variation in work time in the process. Here we are calculating the standard deviation. Since the calculated standard deviation is in the order of
以上説明したように、本実施形態によれば、作業者割付を行う工程の優先度をスムーズに決定することができる。 As described above, according to this embodiment, the priority of the process for assigning workers can be determined smoothly.
(第3の実施形態)
本実施形態では、優先度の高い工程に割付ける作業者を決定するための、作業者の優先順位の付け方について説明する。
(Third embodiment)
In this embodiment, a method of prioritizing workers will be described to determine which workers are assigned to processes with high priority.
まず、作業実績から過去の時点における作業者の各工程に対する作業習熟度について説明出する。ここでは習熟度を、次式で定義する。
作業習熟度=作業時間/ST ・・・・・(2)
すなわち、標準作業時間STの作業を行うのに要した作業時間で表す。したがって、値が小さいほど作業習熟度が高くなる。
First, we will explain the work proficiency levels of workers for each process at past points in time based on work performance. Here, the proficiency level is defined by the following formula.
Work proficiency = work time/ST (2)
That is, it is expressed by the working time required to perform the standard working time ST. Therefore, the smaller the value, the higher the work proficiency level.
作業回数を重ねていくうちにスキルが上がることで作業時間は短くなり、作業習熟度は小さくなる。スキルは作業者毎に異なるため、作業習熟度も作業者毎に異なる。横軸に作業実績N、縦軸に作業習熟度を取った例を図5に示す。作業実績Nは、例えば、製品の生産台数や、作業者割当の検討期間などで表すことができる。ここでは例として作業者1、2、6の3名分の作業習熟度を表示している。
As the number of tasks is repeated, the skill improves, the working time becomes shorter, and the work proficiency level decreases. Since skills differ from worker to worker, work proficiency also differs from worker to worker. FIG. 5 shows an example in which the horizontal axis represents work performance N and the vertical axis represents work proficiency. The work performance N can be expressed by, for example, the number of products produced or the period for considering worker assignment. Here, as an example, the work proficiency levels of three
なお作業実績がなく、作業習熟度がわからない新人作業者などにおいては、新人当時の作業実績を元に標準モデルを作成して使用する。 For new workers who have no work experience and whose work proficiency level is unknown, a standard model is created and used based on the work performance of the new worker.
上記のように、作業習熟度は作業実績Nの増加と共に高まるものなので、過去の所定期間における作業習熟度の変化量と、現在の作業習熟度とに基づいて、将来の改善を見込んだ見込み習熟度を推定することができる。見込み作業習熟度は、以下のようにして算出することができる。作業実績がΔNだけ経過したときの作業習熟度を求める。ここでΔNは作業実績の変化量であり、製品の生産台数や作業者割当の検討期間に応じて任意に設定することができる。 As mentioned above, the work proficiency level increases as the work performance N increases, so based on the amount of change in the work proficiency level over a predetermined period in the past and the current work proficiency level, the expected proficiency level is calculated based on the amount of change in the work proficiency level in the past predetermined period and the current work proficiency level. degree can be estimated. The expected work proficiency level can be calculated as follows. The work proficiency level is determined when the work performance has passed by ΔN. Here, ΔN is the amount of change in work performance, and can be arbitrarily set depending on the number of products produced and the period for considering worker assignment.
まず、期待作業時間を算出する。期待作業時間を求める式は以下で定義する。ここで、習熟後の作業時間とは、予測される将来の作業習熟度の改善を見込んだ時の作業時間である。
期待作業時間=(現在の作業時間+習熟後の作業時間)の平均 ・・・・・(3)
習熟後の作業時間
=現在の作業時間×{1-(現在の作業習熟度-見込み作業習熟度)}・・・・(4)
ΔNおよび見込み作業習熟度の具体例を図6に示す。この例では、現在の作業習熟度については、作業者1と作業者6は、ほぼ同じである。しかし、作業者1の作業習熟度が大きく改善することが見込め、作業者6の習熟度はあまり改善が見込めないことが分かる。したがって、この工程を作業者1に担当させた方が、この工程の効率が上がることが期待できる。
First, calculate the expected work time. The formula for calculating expected work time is defined below. Here, the work time after proficiency is the work time when expected future work proficiency improvements are taken into account.
Expected working time = Average of (current working time + working time after proficiency) ・・・・・・(3)
Work time after proficiency = Current work time x {1 - (Current work proficiency level - Expected work proficiency level)}... (4)
A specific example of ΔN and expected work proficiency level is shown in FIG. In this example,
次に、作業者の優先順位決定の動作について説明する。図5は、作業者の優先順位の決定動作を示すフローチャートである。 Next, the operation of determining worker priorities will be explained. FIG. 5 is a flowchart showing the operation for determining the priority order of workers.
まず、各作業者の、作業者を割付ける優先度の高い工程に対する現在の作業習熟度を算出する(S201)。次に、作業実績から現時点における作業者の各工程に対する作業習熟度を算出する(S202)。次に、作業習熟度の変化率に基づいて所定期間経過後の見込み習熟度を算出する(S203)。そして、見込み習熟度が高い順に作業者の適性を順位付けする(S204)。以上により、優先度の高い工程に、当該工程の作業習熟度が高い作業者を割付けることができる。 First, the current work proficiency level of each worker for a process with a high priority to which the worker is assigned is calculated (S201). Next, the current level of work proficiency of the worker for each process is calculated from the work results (S202). Next, the expected proficiency level after a predetermined period of time is calculated based on the rate of change in the work proficiency level (S203). Then, the aptitudes of the workers are ranked in descending order of expected proficiency level (S204). As described above, it is possible to allocate a worker with a high level of work proficiency to a process with a high priority level.
上記のように優先順位を決定すると、優先順位の算出結果が同じになることが起こり得る。図8は、その場合の動作を示すフローチャートである。まず当該工程の見込み作業習熟度が高い順に、作業者の優先順位付けを行う(S301)。ここで、優先順位の同じ作業者がいなかった場合は(S302_No)、優先順位を確定して終了する。一方、優先順位が同じ作業者がいた場合は(S302_Yes)、対象となる作業者達の、次に優先度の高い工程に対する見込み作業習熟度の順位を算出する(S303)。そして、次に優先度の高い工程に対する見込み作業習熟度が低い作業者の優先順位を高くする(S304)。その理由は、対象とする優先度の高い工程には、どちらの作業者を割付けても同じであるが、次位の工程に、当該工程の見込み作業習熟度が低い作業者を割付けると、当該工程の作業効率が低下するからである。一方、次位の工程に当該工程の見込み作業習熟度が高い作業者を配置すれば、次位の作業効率が高くなる。その結果、2つの工程を合わせた場合、上記の優先順位決定方法を採用すると、作業効率を高くすることができる。 When the priorities are determined as described above, the calculation results of the priorities may be the same. FIG. 8 is a flowchart showing the operation in that case. First, workers are prioritized in descending order of expected work proficiency for the process (S301). Here, if there is no worker with the same priority (S302_No), the priority is determined and the process ends. On the other hand, if there are workers with the same priority (S302_Yes), the expected work proficiency rankings of the target workers for the process with the next highest priority are calculated (S303). Then, the priority level of the worker with the lowest expected work proficiency level for the process with the next highest priority level is increased (S304). The reason is that it is the same no matter which worker is assigned to a process with a high priority, but if a worker with a low expected work proficiency level for the process is assigned to the next process, This is because the work efficiency of the process decreases. On the other hand, if a worker with a high expected work proficiency level for the process is assigned to the next process, the work efficiency of the next process will be increased. As a result, when the two processes are combined, the work efficiency can be increased by employing the above priority order determination method.
以上説明したように、本実施形態によれば、生産効率を高くする作業者配置を的確に決定することができる。 As described above, according to the present embodiment, it is possible to accurately determine worker placement that increases production efficiency.
上述した第1乃至第3の実施形態の処理を、コンピュータに実行させるプログラムおよび該プログラムを格納した記録媒体も本発明の範囲に含む。記録媒体としては、例えば、磁気ディスク、磁気テープ、光ディスク、光磁気ディスク、半導体メモリ、などを用いることができる。 The scope of the present invention also includes a program that causes a computer to execute the processes of the first to third embodiments described above, and a recording medium that stores the program. As the recording medium, for example, a magnetic disk, magnetic tape, optical disk, magneto-optical disk, semiconductor memory, etc. can be used.
以上、上述した実施形態を模範的な例として本発明を説明した。しかしながら、本発明は、上記実施形態には限定されない。即ち、本発明は、本発明のスコープ内において、当業者が理解し得る様々な態様を適用することができる。 The present invention has been described above using the above-described embodiment as an exemplary example. However, the present invention is not limited to the above embodiments. That is, the present invention can apply various aspects that can be understood by those skilled in the art within the scope of the present invention.
1 作業実績記憶手段
2 工程別作業時間ばらつき算出手段
3 作業者の工程適性算出手段
4 作業者割付優先度設定手段
1 Work performance storage means 2 Work time variation calculation means for each
Claims (6)
それぞれの前記工程における作業時間のばらつきを工程別に算出する工程別作業時間ばらつき算出手段と、
それぞれの前記作業者の各前記工程に対する適性である作業者の工程適性を算出する作業者の工程適性算出手段と、
前記作業時間のばらつきが大きい前記工程に対し、前記作業者を割付ける作業者割付優先順位を高く設定し、前記作業者割付優先順位が高い前記工程に対して割付ける作業者について、当該工程の適性が高い作業者に高い割付優先順位を付加する作業者割付優先順位設定手段と
を有し、
前記作業者の工程適性算出手段は、前記工程適性を作業の速さを表す作業習熟度で順位付けし、前記作業者割付優先順位が高い前記工程の順位が同じ作業者がいた場合には、前記作業者それぞれの、次に優先度の高い前記工程に対する前記作業習熟度の順位を算出し、次に優先度の高い前記工程に対する前記作業習熟度が低い作業者の優先順位を高くし、
前記作業者割付優先順位設定手段は、前記作業時間のばらつきが同じ工程がある場合は、前記作業実績に基づいてそれぞれの前記工程の難易度を算出し、前記工程の難易度が同じ前記工程がある場合には、先に実施する工程に高い割付優先順位を付加する
ことを特徴とする作業者配置装置。 work performance storage means for storing work performance of workers in a plurality of processes of a production line in which a plurality of workers perform relay production;
Process-by-process work time variation calculation means for calculating the work time variation in each of the processes for each process;
Worker process aptitude calculation means for calculating a worker's process aptitude, which is the aptitude of each of the workers for each of the processes;
The worker assignment priority for assigning the worker to the process where the work time has a large variation is set high, and the worker assigned to the process with the high worker assignment priority is set for the process. and a worker assignment priority setting means for assigning a high assignment priority to workers with high aptitude,
The process aptitude calculation means for the workers ranks the process aptitudes based on work proficiency level representing work speed, and if there are workers who have the same rank in the process with a higher worker allocation priority, calculating the rank of the work proficiency of each of the workers for the process with the next highest priority, and increasing the priority of the worker with the lowest work proficiency for the process with the next highest priority ;
If there are processes with the same variation in work time, the worker allocation priority setting means calculates the difficulty level of each process based on the work performance, and determines whether the processes have the same difficulty level. In some cases, give a higher allocation priority to the process to be performed first.
A worker placement device characterized by:
前記作業者の過去の所定期間における前記作業習熟度の変化量と、現在の前記作業習熟度とに基づいて予測される将来の前記作業習熟度である見込み作業習熟度を用いる
ことを特徴とする請求項1に記載の作業者配置装置。 As the work proficiency level, an expected work proficiency level is used, which is the future work proficiency level predicted based on the amount of change in the work proficiency level in the past predetermined period of the worker and the current work proficiency level. The worker placement device according to claim 1 , characterized in that:
ことを特徴とする請求項1又は2に記載の作業者配置装置。 The worker arrangement device according to claim 1 or 2, wherein the variation in the working time is expressed by a standard deviation.
複数の作業者がリレー生産する生産ラインの複数の工程における作業者の作業実績を記憶し、
それぞれの前記工程における作業時間のばらつきを工程別に算出し、
それぞれの前記作業者の各前記工程に対する適性である作業者の工程適性を算出し、
前記作業時間のばらつきが大きい前記工程に対し、前記作業者を割付ける作業者割付優先順位を高く設定し、前記作業者割付優先順位が高い前記工程に対して割付ける作業者について、当該工程の適性が高い作業者に高い割付優先順位を付加する
作業者配置方法であって、
前記工程適性を作業の速さを表す作業習熟度で順位付けし、前記作業者割付優先順位が高い前記工程の順位が同じ作業者がいた場合には、前記作業者それぞれの、次に優先度の高い前記工程に対する前記作業習熟度の順位を算出し、次に優先度の高い前記工程に対する前記作業習熟度が低い作業者の優先順位を高くし、
前記作業時間のばらつきが同じ工程がある場合は、前記作業実績に基づいてそれぞれの前記工程の難易度を算出し、前記工程の難易度が同じ前記工程がある場合には、先に実施する工程に高い割付優先順位を付加する
ことを特徴とする作業者配置方法。 The computer is
Memorizes the work performance of workers in multiple processes of a production line where multiple workers perform relay production,
Calculating the variation in working time in each of the steps for each step,
Calculating the process aptitude of each worker, which is the aptitude of each of the workers for each of the processes,
The worker assignment priority for assigning the worker to the process where the work time has a large variation is set high, and the worker assigned to the process with the high worker assignment priority is set for the process. A worker allocation method that assigns a high priority to workers with high aptitude,
The process aptitude is ranked by work proficiency level representing work speed, and if there are workers who have the same rank in the process with a higher worker assignment priority, the next priority of each worker is calculating the rank of the work proficiency for the process with a high priority, and giving a higher priority to the worker with a low work proficiency for the process with the next highest priority;
If there are processes with the same variation in work time, calculate the difficulty level of each process based on the work results, and if there is a process with the same difficulty level, calculate the process to be performed first. Add a high allocation priority to
A worker allocation method characterized by:
前記作業習熟度として
前記作業者の過去の所定期間における前記作業習熟度の変化量と、現在の前記作業習熟度と、に基づいて予測される将来の前記作業習熟度である見込み作業習熟度を用いる
ことを特徴とする請求項4に記載の作業者配置方法。 The computer is
As the work proficiency level, the expected work proficiency level is the future work proficiency level predicted based on the amount of change in the work proficiency level in the past predetermined period of the worker and the current work proficiency level. The worker arrangement method according to claim 4 , characterized in that the method is used.
それぞれの前記工程における作業時間のばらつきを工程別に算出するステップと、
それぞれの前記作業者の各前記工程に対する適性である作業者の工程適性を算出するステップと、
前記作業時間のばらつきが大きい前記工程に対し、前記作業者を割付ける作業者割付優先順位を高く設定し、前記作業者割付優先順位が高い前記工程に対して割付ける作業者について、当該工程の適性が高い作業者に高い割付優先順位を付加するステップと
をコンピュータに実行させる作業者配置プログラムであって、
作業者の工程適性を算出するステップでは、前記工程適性を作業の速さを表す作業習熟度で順位付けし、前記作業者割付優先順位が高い前記工程の順位が同じ作業者がいた場合には、前記作業者それぞれの、次に優先度の高い前記工程に対する前記作業習熟度の順位を算出し、次に優先度の高い前記工程に対する前記作業習熟度が低い作業者の優先順位を高くし、
作業者に高い割付優先順位を付加するステップでは、前記作業時間のばらつきが同じ工程がある場合は、前記作業実績に基づいてそれぞれの前記工程の難易度を算出し、前記工程の難易度が同じ前記工程がある場合には、先に実施する工程に高い割付優先順位を付加する
ことを特徴とする作業者配置プログラム。 a step of memorizing the work performance of workers in a plurality of processes of a production line in which a plurality of workers perform relay production;
calculating the variation in working time in each of the steps for each step;
calculating a worker's process aptitude, which is the aptitude of each of the workers for each of the processes;
The worker assignment priority for assigning the worker to the process where the work time has a large variation is set high, and the worker assigned to the process with the high worker assignment priority is set for the process. A worker assignment program that causes a computer to perform the steps of assigning a high priority to a worker with high aptitude, the worker assignment program comprising:
In the step of calculating the process aptitude of the workers, the process aptitude is ranked by the work proficiency level representing the work speed, and if there are workers who have the same rank in the process with a high worker assignment priority, , calculating the rank of the work proficiency of each of the workers for the process with the next highest priority, and increasing the priority of the worker with the lowest work proficiency for the process with the next highest priority ;
In the step of assigning a high priority to a worker, if there are processes with the same variation in work time, the difficulty level of each process is calculated based on the work performance, and the difficulty level of each process is determined to be the same. If there are any of the above steps, give a higher allocation priority to the step to be performed first.
A worker placement program characterized by:
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2019063259A JP7427867B2 (en) | 2019-03-28 | 2019-03-28 | Worker placement device, worker placement method, and worker placement program |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2019063259A JP7427867B2 (en) | 2019-03-28 | 2019-03-28 | Worker placement device, worker placement method, and worker placement program |
Publications (2)
Publication Number | Publication Date |
---|---|
JP2020166314A JP2020166314A (en) | 2020-10-08 |
JP7427867B2 true JP7427867B2 (en) | 2024-02-06 |
Family
ID=72716167
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2019063259A Active JP7427867B2 (en) | 2019-03-28 | 2019-03-28 | Worker placement device, worker placement method, and worker placement program |
Country Status (1)
Country | Link |
---|---|
JP (1) | JP7427867B2 (en) |
Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP7148098B1 (en) | 2021-05-28 | 2022-10-05 | 株式会社オプティマインド | Delivery plan determination device and delivery plan determination program |
WO2022259579A1 (en) * | 2021-06-11 | 2022-12-15 | 三菱電機株式会社 | Estimate assistance system, estimate assistance method, and program |
WO2023242942A1 (en) * | 2022-06-14 | 2023-12-21 | 日本電信電話株式会社 | Schedule execution assistance device, method, and program |
CN114781934B (en) * | 2022-06-17 | 2022-09-20 | 希望知舟技术(深圳)有限公司 | Work order distribution method and related device |
WO2024154306A1 (en) * | 2023-01-19 | 2024-07-25 | 日本電信電話株式会社 | Information processing device, information processing method, and information processing program |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007164756A (en) | 2005-11-16 | 2007-06-28 | Sharp Corp | Screw-fastening worker allocation system, screw-fastening worker allocation method, screw-fastening worker allocation program, and storage medium stored with screw-fastening worker allocation program |
JP2007305102A (en) | 2005-12-05 | 2007-11-22 | Sharp Corp | Production system determination system and method |
JP2018163488A (en) | 2017-03-24 | 2018-10-18 | 大日本印刷株式会社 | Worker management apparatus, worker management method, program for worker management apparatus |
-
2019
- 2019-03-28 JP JP2019063259A patent/JP7427867B2/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007164756A (en) | 2005-11-16 | 2007-06-28 | Sharp Corp | Screw-fastening worker allocation system, screw-fastening worker allocation method, screw-fastening worker allocation program, and storage medium stored with screw-fastening worker allocation program |
JP2007305102A (en) | 2005-12-05 | 2007-11-22 | Sharp Corp | Production system determination system and method |
JP2018163488A (en) | 2017-03-24 | 2018-10-18 | 大日本印刷株式会社 | Worker management apparatus, worker management method, program for worker management apparatus |
Also Published As
Publication number | Publication date |
---|---|
JP2020166314A (en) | 2020-10-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP7427867B2 (en) | Worker placement device, worker placement method, and worker placement program | |
CN106020966B (en) | System and method for intelligently distributing tasks among multiple labor resources | |
US20080201713A1 (en) | Project Management System | |
JPWO2018105104A1 (en) | Failure risk index estimation apparatus and failure risk index estimation method | |
WO2019188273A1 (en) | Control device, control method, and control program | |
US20070174150A1 (en) | System and method for providing user help tips | |
Shmueli et al. | On simulation and design of parallel-systems schedulers: are we doing the right thing? | |
CN111813524A (en) | Task execution method and device, electronic equipment and storage medium | |
JP6329038B2 (en) | Information processing apparatus, process buffer calculation method, and program | |
JP6939016B2 (en) | Worker decision support device | |
CN112015539A (en) | Task allocation method, device and computer storage medium | |
CN112416596A (en) | Node scheduling method, device and equipment | |
Ruiz-Torres et al. | Generating Pareto schedules with outsource and internal parallel resources | |
KR20210061249A (en) | Apparatus and method for scheduling process based on machine learning | |
CN111143063A (en) | Task resource reservation method and device | |
JP6907720B2 (en) | Prioritization method | |
US11501226B1 (en) | Monitoring and creating customized dynamic project files based on enterprise resources | |
JP7408966B2 (en) | Worker assignment device, worker assignment method, and worker assignment program | |
JP2012212341A (en) | Polling monitoring system, polling monitoring server, polling monitoring method, and polling monitoring program | |
JP4999932B2 (en) | Virtual computer system, virtual computer weighting setting processing method, and virtual computer weighting setting processing program | |
JP5968513B1 (en) | Stable inventory quantity forecasting system, stable inventory quantity forecasting method and program | |
US11244260B1 (en) | Monitoring and creating customized dynamic project files based on enterprise resources | |
JP7043911B2 (en) | Management equipment, management system, management method and management program | |
JP7532707B2 (en) | Prediction device and prediction method | |
US20240272960A1 (en) | Management computer, management computing system, management computing program, and management computing method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
RD01 | Notification of change of attorney |
Free format text: JAPANESE INTERMEDIATE CODE: A7421 Effective date: 20211019 |
|
A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20220215 |
|
A977 | Report on retrieval |
Free format text: JAPANESE INTERMEDIATE CODE: A971007 Effective date: 20230126 |
|
A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20230214 |
|
A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20230412 |
|
A02 | Decision of refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A02 Effective date: 20230711 |
|
A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20231010 |
|
A911 | Transfer to examiner for re-examination before appeal (zenchi) |
Free format text: JAPANESE INTERMEDIATE CODE: A911 Effective date: 20231017 |
|
TRDD | Decision of grant or rejection written | ||
A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20231226 |
|
A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20240108 |
|
R151 | Written notification of patent or utility model registration |
Ref document number: 7427867 Country of ref document: JP Free format text: JAPANESE INTERMEDIATE CODE: R151 |