CN101271546A - Manpower resource optimization configuration method of multi-assembly line workshop - Google Patents

Manpower resource optimization configuration method of multi-assembly line workshop Download PDF

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Publication number
CN101271546A
CN101271546A CNA2008100696506A CN200810069650A CN101271546A CN 101271546 A CN101271546 A CN 101271546A CN A2008100696506 A CNA2008100696506 A CN A2008100696506A CN 200810069650 A CN200810069650 A CN 200810069650A CN 101271546 A CN101271546 A CN 101271546A
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station
workshop
matrix
assembly line
real
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尹超
刘从虎
尹胜
马春斌
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Chongqing University
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Abstract

The human resource optimum configuration method of a multi-assembly line workshop is provided. The invention relates to the human resource optimum configuration operation method of the real-time and dynamic multi-assembly line workshop. The method is that: the real-time skill matrix of workshop production employees which can describe the operation ability of the employees on specific work stations is firstly established and is real-timely renewed according to the finished condition of skill training and practical production tasks; a work station real-time skill demand matrix is made when the production tasks are released; the difference of the two matrixes is worked out to obtain a workshop human resource configuration matrix model; the optimization solution is implemented on the model according to constraint conditions of key work stations, the inadequacy degree of suitable personnel for station work, etc., thus obtaining an optimized workshop human resource configuration proposal at any period of time. The method of the invention establishes a scientific analyzing method for the configuration and the scheduling of the human resources of the multi-assembly line workshop and is applicable to the configuration and the scheduling of the human resources in the management system of the multi-assembly line workshop.

Description

Manpower resource optimization configuration method of multi-assembly line workshop
Technical field
The present invention relates to a kind of workshop Manpower resource optimization configuration method, be specifically related to a kind ofly set up mathematical model, find the solution the method that each station human resources of workshop are distributed rationally that draws based on real-time plant personnel skill matrix.
Background technology
Along with the aggravation of competition among enterprises, people recognize that more and more human resources are enterprise development " first resources ".Thereby how the human resources of enterprise are carried out effective configuration enterprise is moved efficiently, become one of problem that enterprise pays close attention to the most day by day.The market economy environment of cut-throat competition has proposed more and more higher requirement to the production and the management of manufacturing enterprise.Many kinds, short run, the manufacturing cycle is short, quality requirements is high, production task change frequent, and these require enterprise's workshop human resources configuration to have higher validity, dirigibility and flexibility.
The workshop human resources configuration is a very complicated system engineering, enterprise's Workshop Production human resources mainly rely on workshop bottom managerial personnel (class monitor and group leader) independently configuration by rule of thumb at present, owing to lack scientific analysis and assessment method, on the one hand managerial personnel to task and to the craftsmanship require unclear, can not carry out real-time assurance comprehensively from aspects such as its knowledge, technical ability, abilities to the employee on the other hand, make the unmatched situation of operator and post in the human resources configuration of workshop, often to occur, thereby cause the low of production operation efficiency.
It is also less at present to distribute the research of aspect rationally at the workshop human resources.Professor Luo Ronggui of Wuhan University of Technology has proposed a kind of flexibility of utilizing skill matrix to describe Human Resource in Job Shop, and proved that by emulation flexible human resources can significantly improve job shop system performance, but he also proposes to optimize the concrete scheme of Flexibility of Human Resource configuration.
Summary of the invention
In order to address the above problem, the object of the invention is to set up a kind of being suitable for and the Optimization Model of easy workshop human resources configuration, and provides simple algorithm, and distributing rationally for multi-assembly line workshop human resources provides a cover feasible solution.
The technical solution used in the present invention is for achieving the above object:
(1) set up the real-time skill matrix of Workshop Production employee:
With the real-time skill matrix of Workshop Production employee, promptly Skill Matrix is called for short SM, and the expression workman is in the functipnal capability of corresponding station, and the step that SM sets up is as follows:
A. define workshop assembly line workman and collect W={1,2 ..., i ..., w}, the whole station collection of workshop assembly line M={1,2 ..., j ... l ... m};
B. workman i possesses the ability a of operation position j Ij, a wherein Ij∈ [0,1];
C. the real-time skill matrix SM of Manufacturing Worker is:
SM = a 11 a 12 a 13 a 14 . . . . . . a 1 w a 21 a 22 a 23 a 24 . . . . . . a 2 w . . . . . . a m 1 a m 2 a m 1 a m 4 . . . . . . a mw
(2) station real-time technical ability requirement matrix in multi-assembly line workshop is described
A. define workshop assembly line collection X={1,2 ..., k ..., x};
B. the recruitment position forms that to define workshop k bar assembly line be X k={ M jM l, k ∈ [1, x], j, l ∈ [1, m], l>j;
C. production task is decomposed each assembly line of workshop, again production task is issued to the production station M that determines separately j, will have each assembly line station of production task to be combined as M={M 1, M 2M m, according to the requirement of actual production task, each produces station M jCorresponding minimum employee skill demand g is all arranged j, then construct minimum craftsmanship's matrix G=[g of each station real-time requirement of multi-assembly line 1g 2... g j... g m] T, g wherein m∈ [0,1];
(3) make up workshop human resources configuration matrix
Set up workshop human resources configuration matrix model according to real-time skill matrix of Workshop Production employee and the real-time technical ability requirement matrix of station, concrete steps are as follows:
A. defining production task, to be issued to workshop assembly line quantity be x, and workman's number is w;
B. defining x bar assembly line chief engineer figure place is m;
C. define h Ij=a Ij-g i, h wherein Ij∈ [1,1];
Manufacturing Worker's the real-time technical ability and the minimum craftsmanship's of each station demand difference h Ij, form workshop human resources configuration matrix H:
H = h 11 h 12 h 13 h 14 . . . . . . h 1 w h 21 h 22 h 23 h 24 . . . . . . h 2 w . . . . . . h m 1 h m 2 h m 1 h m 4 . . . . . . h mw
(4) set Workshop Production constraint condition
In order to make the human resources configuration ranking results have more practicality, considered the actual conditions in some productions as much as possible, increased some constraints, the increase of these constraints can reduce the complicacy of algorithm again.
A. order of the station in the assembly line and quantity are certain, and number of workers satisfies the station demand;
B. each workman can only operate a station, if wherein certain station needs a plurality of workman's operations, then is separated into a plurality of stations, if wherein a plurality of station needs workman's operation, then merges into a station;
C. acquiescence technical ability value is a after the staffs training Ij=0.4, post demand acquiescence technical ability value is g=0.5, crucial station acquiescence technical ability value 0.6, and employee i, meets company and requires then a after 1 month in station j operation IjAdd 0.1, be up to 1.0, if defective 0.1 the technical ability value that then deducts, minimum is 0, and employee i never operated at station j in three months, then a IjAutomatically reduce 0.1;
D. each numerical value in the workshop human resources configuration matrix is represented the work suitable degree of a certain employee corresponding to a certain station, big more suitable more this station of this workman that shows of numerical value, and wherein 0 expression is suitable substantially;
E. the personnel that each row can be competent at this station work more than or equal to 0 the few more representative of numerical value number in the workshop human resources configuration matrix are few more, and numerical value number order from less to more is the suitable personnel's of station work degree in short supply;
(5) model optimization computing
The basic algorithm that the present invention proposes is as follows:
Make S be arbitrary all numerical value of matrix different rows different lines and, MAX S is the maximal value of its neutralization;
At first determine crucial station M x... M y, elder generation is from the h* of correspondence x... h* yObtain the combinations of values of MAX S in the matrix of forming in the row, that this counts the combinations of values correspondence is exactly the operation producers that crucial station requires, determine crucial producers after; Remove employee and the crucial station determined and form new matrix, then according to each row in the new matrix more than or equal to 0 numerical value number, order from less to more, from the matrix that the minimum row of numerical value number is formed, obtain the combinations of values of MAX S, it is exactly Manufacturing Worker's configuration of corresponding station, remove the Manufacturing Worker and the station of the combinations of values correspondence of the MAX S that has obtained, the workshop human resources configuration matrix ordering that recomposition is new, the combinations of values of taking out MAX S in the matrix of forming more than or equal to the minimum row of 0 numerical value number again; By that analogy, progressively determine the producers that each station is suitable, all combinations of values of determining are exactly the corresponding producers' of each station proposed arrangement;
(6) management is revised
Certain different sortord, the result who draws is also inequality, but in the actual production, the class monitor and group leader can be adjusted according to actual production demand and each employee's different situations.
(7) output human resources configuration scheme
Output multi-assembly line workshop human resources are distributed rationally, instruct actual production.
(8) the real-time skill matrix real-time update of Workshop Production employee
The plant personnel skill matrix is employee skill is in time fed back renewal according to practical condition a matrix in real time; Actual by producing, situations such as the time that employee involvement is produced, quality, performance, the relevant regulations according to the employee skill change in time reflect on the employee skill matrix; Employee w for example iAt station m jProduced 1 month continuously, production task is finished normally, and quality meets the requirements, no abnormal industrial accident etc., a in the employee skill matrix of correspondence Ij+ 0.1, if do not meet relevant regulations, then a Ij-0.1; Added up regular update employee skill matrix, the real-time and the accuracy of realization plant personnel skill matrix by the Workshop Production management.
Utilize multi-assembly line workshop Manpower resource optimization configuration method of the present invention, set up a kind of being suitable for and the scientific analysis and the test and appraisal means of easy multi-assembly line workshop human resources configuration, make the workshop management personnel control Workshop Production personnel's technical ability present situation in real time, dynamically adjust producers' configuration according to the actual production task, reduce workshop waste of human resource or workshop human resources shortage phenomenon; For the training of production employee skill provides foundation, reduce the generation of the phenomenon that do not match of Manufacturing Worker and station, make appropriate Manufacturing Worker be distributed in suitable station, thereby improve enterprise's Workshop Production organizational capacity and production management level.
Description of drawings
Fig. 1 is the operational flow diagram of the inventive method
Embodiment
Below in conjunction with drawings and Examples, it is as follows that the present invention is further illustrated:
Step 1: set up the real-time skill matrix of Workshop Production employee, be used for describing the operative skill of employee at each station.
Instantiation: three assembly lines in certain workshop, workshop assembly line employee skill matrix is as follows:
Figure A20081006965000071
Step 2: station real-time technical ability requirement matrix in multi-assembly line workshop is described
After the plant working plan was assigned, the planned dispatching personnel were sub-divided into each assembly line with plan, and each assembly line operation is determined station, and each assembly line station employee skill demand is as follows:
The rim frame Dress fan and inflow pipe The dress drying bottle Inspection impermeability and total inspection The assembly assembling Play the check of torsion assembly Hydroecium fastens The water tank leak detection
0.6 0.5 0.5 0.6 0.5 0.5 0.5 0.5
Matrix is: G=[0.6 0.5 0.5 0.6 0.5 0.5 0.5 0.5] T
Step 3: make up workshop human resources configuration matrix
It is as follows to set up workshop human resources configuration matrix:
H 98 = - 0.1 - 0.6 0.2 0.4 - 0.6 - 0.6 - 0.1 - 0.6 - 0.6 0.1 0 - 0.5 0.3 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 0.2 0.1 - 0.1 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 - 0.6 - 0.6 0.4 0.1 - 0.6 - 0.4 - 0.6 0 - 0.3 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 0.4 0 - 0.5 - 0.1 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 0.1 - 0.5 0.5 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 0 - 0.5 - 0.5 0.4 0.1 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 0 - 0.5 0.2 0.3
Step 4: set up Workshop Production constraint condition
Production constraint condition is as follows:
(1) operation ' rim frame ', ' inspection impermeability and chief inspector ' is critical process.
(2) each station demand technical ability difference must be more than or equal to negative 0.1.
Step 5: model optimization computing
Solution is as follows:
1. determine earlier that critical process is " a rim frame " and " inspection impermeability and total inspection "
Can get by employee skill difference matrix:
(1) rim frame greatest measure is 0.4
Being the brave technical ability difference of employee Liu Fu maximum, is optimum configuration.
(2) the inspection impermeability is 0.4 with total inspection greatest measure
Being the little flat technical ability difference maximum of employee Yuan, is optimum configuration.
MAX S=0.8 maximum
2. forming new human resources configuration matrix in the remaining operation is:
H 76 = 0.1 0 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 0.2 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 0.4 0 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 0.1 0.5 - 0.5 - 0.5 - 0.5 - 0.5 0 - 0.5 - 0.5 0.4 0.1 - 0.5 - 0.5 - 0.5 0 - 0.5 0.2 0.3
Determine that numerical value is more than or equal to 0 number:
First row Second row The third line Fourth line Fifth line The 6th row
2 1 2 2 3 3
Selecting the minimum numerical value number more than or equal to 0 of the 2nd behavior minimum is 1, gets 0.2;
After removing the producers and station of 0.2 correspondence, the remaining new matrix of composition:
H 65 = 0.1 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 - 0.5 0.4 0 - 0.5 - 0.5 - 0.5 - 0.5 0.1 0.5 - 0.5 - 0.5 - 0.5 0 - 0.5 - . 05 0.4 0.1 - 0.5 - 0.5 0 - 0.5 0.2 0.3
Determine that numerical value is more than or equal to 0 number:
First row Second row The third line Fourth line Fifth line
1 2 2 3 3
Selecting the minimum numerical value number more than or equal to 0 of the 1st behavior minimum is 1, gets 0.1;
Remaining ordered series of numbers is formed new matrix:
H 54 = - 0.5 0.4 0 - 0.5 - 0.5 - 0.5 0.1 0.5 - 0.5 - 0.5 0 - 0.5 - 0.5 0.4 0.1 - 0.5 0 - 0.5 0.2 0.3
Determine that numerical value is more than or equal to 0 number:
First row Second row The third line Fourth line
2 2 3 3
Wherein the 1st row is identical with the 2nd capable numerical value number more than or equal to 0 all is 2, determines that with formula MAX S the numerical value of the 1st, 2 row are 0.4 and 0.5.
Remaining ordered series of numbers is formed new matrix:
H 32 = 0 0.4 0.1 - 0.5 0.2 0.3
Determine that numerical value is more than or equal to 0 number:
First row Second row
3 2
In like manner the numerical value that can obtain is respectively 0.4 and 0.3.
To sum up can get, determine that magnitude value is respectively: 0.1,0.2,0.4,0.5,0.4,0.3
MAX S=0.4+0.4+0.1+0.2+0.4+0.5+0.4+0.3=2.7
Be the greatest combined of matrix search, producers' optimization configuration just.
Step 6: management is revised
In the actual production, the class monitor and group leader can be adjusted according to actual production demand and each employee's different situations.To sum up can get three assembly line personnel of optimization is configured to:
The rim frame Dress fan and inflow pipe The dress drying bottle Inspection impermeability and total inspection The assembly assembling Play the check of torsion assembly Hydroecium fastens The water tank leak detection
Liu Fuyong Qin Xiaodong Wang Jialing Yuan Xiaoping Hu Ran Wang Li Chen Hua Cao Zhijuan
Step 7: output human resources configuration scheme
I.e. three assembly line human resources configurations are:
Step 8: the real-time skill matrix real-time update of Workshop Production employee
The plant personnel skill matrix is employee skill is in time fed back renewal according to employee's practical condition a matrix in real time.Actual by producing, situations such as the time that employee involvement is produced, quality, performance, the relevant regulations according to the employee skill change in time reflect on the employee skill matrix.
Because above each employee in the production run, observes relevant rules and regulations, product quality is qualified, does not have great anomalous event and takes place, and it is as follows to upgrade real-time employee skill matrix:
The above is a simple embodiment of the present invention, does not constitute the restriction to flesh and blood of the present invention, and protection scope of the present invention is as the criterion with claims.

Claims (1)

1, a kind of Manpower resource optimization configuration method of multi-assembly line workshop is characterized in that step is as follows:
Step 1, set up the real-time skill matrix of Workshop Production employee:
A. make workshop assembly line workman collect W={1,2 ..., i ..., w}, the whole station collection of workshop assembly line M={1,2 ..., j ... l ... m};
B. workman i possesses the ability a of operation position j Ij, a wherein Ij∈ [0,1];
C. the real-time skill matrix SM of Manufacturing Worker is:
SM = a 11 a 12 a 13 a 14 . . . . . . a 1 w a 21 a 22 a 23 a 24 . . . . . . a 2 w . . . . . . a m 1 a m 2 a m 1 a m 4 . . . . . . a mw
Step 2, set up the real-time technical ability requirement matrix of station:
A. make workshop assembly line collection X={1,2 ..., k ..., x};
B. the recruitment position forms that to define workshop k bar assembly line be X k={ M jM l, k ∈ [1, x], j, l ∈ [1, m], l>j;
Each assembly line station that c. will have production task is combined as M={M 1, M 2M m, each produces station M jCorresponding minimum employee skill demand g is all arranged j, construct minimum craftsmanship's matrix G=[g of each station real-time requirement of multi-assembly line 1g 2... g j... g m] T, g wherein m∈ [0,1];
Step 3, structure workshop human resources configuration matrix:
A. making production task be issued to workshop assembly line quantity is x, and workman's number is w;
B. make x bar assembly line chief engineer that figure place is m;
C. make h Ij=a Ij-g i, h wherein Ij∈ [1,1];
Manufacturing Worker's the real-time technical ability and the minimum craftsmanship's of each station demand difference h Ij, form workshop human resources configuration matrix H:
H = h 11 h 12 h 13 h 14 . . . . . . h 1 w h 21 h 22 h 23 h 24 . . . . . . h 2 w . . . . . . h m 1 h m 2 h m 1 h m 4 . . . . . . h mw
Step 4, setting Workshop Production constraint condition:
A. order of the station in the assembly line and quantity are certain, and number of workers satisfies the station demand;
B. each workman can only operate a station, if wherein certain station needs a plurality of workman's operations, then is separated into a plurality of stations, if wherein a plurality of station needs workman's operation, then merges into a station;
C. acquiescence technical ability value is a after the staffs training Ij=0.4, post demand acquiescence technical ability value is g=0.5, crucial station acquiescence technical ability value 0.6, and employee i, meets company and requires then a after 1 month in station j operation IjAdd 0.1, be up to 1.0, if defective 0.1 the technical ability value that then deducts, minimum is 0, and employee i never operated at station j in three months, then a IjAutomatically reduce 0.1;
D. each numerical value in the workshop human resources configuration matrix is represented the work suitable degree of a certain employee corresponding to a certain station, big more suitable more this station of this workman that shows of numerical value, and wherein 0 expression is suitable substantially;
E. the personnel that each row can be competent at this station work more than or equal to 0 the few more representative of numerical value number in the workshop human resources configuration matrix are few more, and numerical value number order from less to more is the suitable personnel's of station work degree in short supply;
Step 5, model optimization computing:
The algorithm that the present invention proposes is as follows:
Make S be arbitrary all numerical value of matrix different lines different rows and, MAX S is the maximal value of its neutralization;
If crucial station is M x... M y, then from the h of correspondence x* ... h y* take out the combination of MAX S value corresponding in the matrix that each row is formed;
Remove above definite crucial station and corresponding Manufacturing Worker, form new workshop human resources configuration matrix, wherein each row sorts from less to more with the numerical value number more than or equal to 0;
Take out the combination of MAX S value corresponding from the matrix of forming more than or equal to the minimum row of 0 numerical value number, if having only delegation more than or equal to the minimum row of 0 numerical value number, then MAX S is the maximal value of this row;
Remove the station and the producers of the MAX S combinations of values correspondence of having taken out, the workshop human resources configuration matrix that recomposition is new;
By that analogy, take out whole workshop human resources configuration matrix M AX S value corresponding combination;
All combinations of values of determining are exactly the corresponding producers' of each station proposed arrangement;
Step 6, management are revised;
Step 7, output human resources configuration scheme;
Step 8, Workshop Production employee skill matrix is carried out real-time update.
CNA2008100696506A 2008-05-09 2008-05-09 Manpower resource optimization configuration method of multi-assembly line workshop Pending CN101271546A (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102930360A (en) * 2012-09-05 2013-02-13 中国科学院科技政策与管理科学研究所 Deploying system for staff multiple-skill training and deploying method for staff multiple-skill training
CN103049801A (en) * 2012-12-20 2013-04-17 四川长虹电器股份有限公司 Optimal design method for production line layout
CN107450501A (en) * 2017-09-14 2017-12-08 长春北方化工灌装设备股份有限公司 A kind of manufacturing execution system for being applied to automate filling workshop
CN108171372A (en) * 2017-12-25 2018-06-15 上海大学 A kind of multi-item production there are time dispatching method in batches
CN110232486A (en) * 2019-06-26 2019-09-13 哈尔滨理工大学 More workshop integrated dispatch methods based on K shortest path
CN117057763A (en) * 2023-10-12 2023-11-14 杭州灵兔信息技术服务有限公司 Human resource optimal allocation method and system

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102930360A (en) * 2012-09-05 2013-02-13 中国科学院科技政策与管理科学研究所 Deploying system for staff multiple-skill training and deploying method for staff multiple-skill training
CN102930360B (en) * 2012-09-05 2016-08-03 中国科学院科技政策与管理科学研究所 A kind of mixing system for the many skills trainings of employee and the concocting method of the many skills trainings of employee
CN103049801A (en) * 2012-12-20 2013-04-17 四川长虹电器股份有限公司 Optimal design method for production line layout
CN107450501A (en) * 2017-09-14 2017-12-08 长春北方化工灌装设备股份有限公司 A kind of manufacturing execution system for being applied to automate filling workshop
CN108171372A (en) * 2017-12-25 2018-06-15 上海大学 A kind of multi-item production there are time dispatching method in batches
CN110232486A (en) * 2019-06-26 2019-09-13 哈尔滨理工大学 More workshop integrated dispatch methods based on K shortest path
CN110232486B (en) * 2019-06-26 2023-03-21 哈尔滨理工大学 Multi-workshop comprehensive scheduling method based on K shortest path
CN117057763A (en) * 2023-10-12 2023-11-14 杭州灵兔信息技术服务有限公司 Human resource optimal allocation method and system
CN117057763B (en) * 2023-10-12 2024-01-09 杭州灵兔信息技术服务有限公司 Human resource optimal allocation method and system

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