CN105427021A - Intelligent clothes production scheduling method - Google Patents
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Abstract
The invention discloses an intelligent clothes production scheduling method which takes profit maximization as the target and provides a single-task production scheduling mode and a multi-task production scheduling mode to adapt different order and production demands. Manual production line capacity and efficiency calculation is not necessary, actual field production situations and equipment information are acquired according to terminal equipment, in combination with the historical processing data, capacity and efficiency of each production line can be automatically calculated, new task production scheduling is carried out through preferably selecting production lines, pre-determined-quantity tasks are guaranteed to be finished within respective delivery data limits, moreover, a production scheduling plan is adjusted timely according to real-time production information acquired by the terminal equipment, the method is more adaptive to small-scale, multi-product, multi-specification and short-delivery-time order production modes, a problem of high requirements for production scheduling staff during manual production scheduling can be solved, the production scheduling period is shortened, accuracy and feasibility of the production scheduling plan are improved, and capacity optimization and efficiency increase are respectively realized.
Description
Technical field
The present invention relates to a kind of clothes intelligence scheduling method, belong to production line field of intelligent control technology.
Background technology
The order production model of short run, multi items, short delivery phase has become the production model of clothes manufacturing main flow, in such a mode, how scheduling carried out to order and then efficiently complete every production task and become the very crucial problem of of puzzlement garment enterprise.
At present, most garment enterprise is all utilize manual report, Excel instrument, and the experience and the projected capacity that rely on people go to carry out production scheduling, and the scheduling cycle is long and amendment difficulty is large.In large-scale production situation in the past, relatively reasonable scheduling arrangement can be realized by the statistics arrangement of manpower.But along with short run, multi items, multi-configuration item, the emerging in multitude of many specifications order, this manual scheduling mode cannot be competent at the formulation task of production planning and sequencing, cannot guarantee the rationality of production planning and sequencing, increase risk.
Except traditional manual report and Excel form mode, Ye You portion of garment enterprise employs the single infosystem scheduling of plan row, but actual effect is not as good as expection.Be on the one hand because current most row's single system just simply serves the effect that replacement people is hand computation, how scheduling still relies on the experience of scheduling person; Another aspect is because part row single system directly transforms from other manufacturing row's single systems, cannot adapt to short run, multi items, the clothes of short delivery phase manufacture actual demand completely.
Summary of the invention
Goal of the invention: for problems of the prior art with not enough, in order to adapt to apparel industry productive prospecting, solve the defects such as manual scheduling personnel experience dependency degree is high, the scheduling cycle long, amendment difficulty is large, the invention provides a kind of clothes intelligence scheduling method, consider target and constraint condition, in conjunction with produced on-site information, generate detailed production production planning and sequencing table, improve accuracy and the feasibility of plan.
Technical scheme: a kind of clothes intelligence scheduling method, can realize described method by equipment such as computing machines with the form of intelligent information system, specifically comprise:
The order modelling phase in stage 1..This stage is mainly used in building order model, determines the order needing to enter the scheduling stage.Specifically comprise:
Step101. sequence information is obtained by terminal device.
Described terminal device comprises ERP, infosystem, sensor data acquisition equipment and the intelligent production equipment such as production management system based on RFID, while obtaining sequence information, can be used for obtaining ongoing processing tasks information and worker's process data, device type, equipment use status information on produced on-site line.
Described sequence information at least comprises order delivery date, order taking responsibility amount information, order style/specification information, as order planning foundation.
Step102. order model construction, for Order Sorting, determines the order preferentially entering the scheduling stage.
Described order model is mainly used in weighing the importance of order, determines to treat scheduling order, and it relates to order taking responsibility amount, order delivery date, order rate of profit, delay punishment and enterprise's production capacity five key elements.
Can described enterprise production capacity be changeless in enterprise is without situations such as enlargings, complete the order delivery amount of regulation for weighing enterprise within order delivery date of regulation; Described extension penalty coefficient is for calculation task required penalty cost paid in back order situation.Multiple order all can complete assignment of mission amount prerequisite under on schedule, then calculate order importance degree according to all the other four elementses, determine the order preferentially entering stage 2 scheduling.
Stage 2. scheduling mo del establishment stage.This stage is mainly used in building scheduling mo del, completes, for rational machining production line selected by order according to material outfit situation, produced on-site situation, order taking responsibility situation.Specifically comprise:
Step201. produced on-site information and facility information is obtained by terminal device; Described produced on-site information comprises ongoing mission bit stream and worker's process data information on production line; Described facility information mainly refers to and obtains device type information on production line and equipment use status information;
Step202. obtained the material outfit situation of bra materials needed for order by terminal device, for the auxiliary determination treating scheduling order, quick eliminating still can not carry out the order of scheduling; The order that material outfit situation is still not enough to meet this order style of production line one day capacity consumption wouldn't enter scheduling pattern.On described production line, this order style capacity consumption data of a day are the material datas such as the bra materials of the minimum needs obtained with the production data of money or similar style according to history on this production line.
Step203. scheduling model selection, comprises single task pattern and multi job mode two kinds;
Described single task pattern refers in same production line at one time only carries out an order taking responsibility, without the producing alternately phenomenon of multiple different task; Described multi job mode refers to the interior production can carrying out multinomial order taking responsibility at one time of same production line, and production line working terminal may produce production conflict phenomenon.
Step204. scheduling task analysis is treated; According to order order, select not arrange single order, obtain order taking responsibility process information simultaneously, and calculate the single-piece work cycle according to operation history process data;
Step205. to meet delivery date and delivery amount for constraint condition determination production line yield ratio coefficient, production capacity overload phenomenon after judging new task scheduling, whether is produced; Do not produce production capacity overload phenomenon can enter the scheduling scheme in stage 3 and determine the stage; There is production capacity overload phenomenon and then can carry out the production measure such as outsourcing or many line productions of same task according to enterprise practical situation.
The described stage 2, for treating in scheduling task choosing fabrication line process, enters Step205 after can selecting production line to be selected fast according to priority principle.Described priority principle comprises: production line efficiency supreme principle; The minimum principle of production line task amount; And equipment replacement shortest time principle.
Stage 3. scheduling scheme determines the stage.Ongoing processing tasks information and worker's process data, device type, equipment use status information on Real-time Obtaining produced on-site line, upgrade order taking responsibility scheduling scheme.Tackle apparatus for production line fault simultaneously, order taking responsibility adds or the emergency case such as minimizing, to analyze after scheduling each order taking responsibility processing situation on production line further, generate detailed order taking responsibility scheduling scheme.
For task scheduling scheme under single task scheduling pattern really rule be treat that the delivery date of scheduling task and delivery amount are constraint condition, carry out the distribution of operation and operation website according to produced on-site information and facility information, generate task scheduling scheme.
For task scheduling scheme under multitask scheduling pattern really rule be treat that the delivery date of scheduling task and ongoing original task and delivery amount are constraint condition, generate detailed task scheduling scheme after analyzing the condition of production further according to produced on-site information and facility information, specifically comprise:
Step301. operation of conflicting is determined; Described conflict operation refers to that two (comprising two) above tasks carry out adding man-hour, all necessary operation and operation website, equipment on same production line simultaneously;
Step302. according to other operation quantum of output situations of change before and after yield ratio coefficient analysis critical process; That is, point centered by critical process, analyzes the quantum of output change of preceding working procedure back to front, and analyzes the quantum of output change of later process from front to back;
Step303. with delivery date, delivery amount and operation production capacity for constraint condition, weigh under this constraint condition, can the task on production line complete preplanned mission amount all on schedule.If preplanned mission amount can both be completed on schedule, then generate detailed production scheduling scheme in conjunction with equipment use state on production line; If can not complete preplanned mission amount all on schedule, be then adjusted the detailed task scheduling scheme of rear generation according to apparatus for production line use amount, yield ratio coefficient etc., adjustable number of times is determined according to enterprise practical.
Such as, when a certain task actual finish time is ahead of plan delivery date, then adjustable production line yield ratio system, the slightly slow task of progress on the same production line that raises speed, to ensure all to complete preplanned mission amount within delivery date.
Beneficial effect: clothes intelligence scheduling method proposed by the invention is scheduling target with profit maximization, provides single task scheduling pattern and multitask scheduling pattern to adapt to different orders and Production requirement; Adjust production planning and sequencing in time according to the production real-time information that terminal device obtains, more can adapt to the order production model of short run, multi items, many specifications, short delivery phase instantly; And overcome to difficulties such as the high requests of scheduling personnel in manual scheduling, shorten the scheduling cycle, improve accuracy and the feasibility of production planning and sequencing, optimization production capacity, raises the efficiency.
Accompanying drawing explanation
Fig. 1 is the three phases of scheduling method involved in the embodiment of the present invention;
Fig. 2 is the schematic flow sheet in stage 1 involved in the embodiment of the present invention;
Fig. 3 is the schematic flow sheet in stage 2 involved in the embodiment of the present invention;
Fig. 4 is the schematic flow sheet in stage 3 involved in the embodiment of the present invention.
Embodiment
Below in conjunction with specific embodiment, illustrate the present invention further, these embodiments should be understood only be not used in for illustration of the present invention and limit the scope of the invention, after having read the present invention, the amendment of those skilled in the art to the various equivalent form of value of the present invention has all fallen within the application's claims limited range.
As described in Figure 1, clothes intelligence scheduling method provided by the present invention, comprising: the stage 1, the order modelling phase; Stage 2, scheduling mo del establishment stage; In the stage 3, scheduling scheme determines the stage.
Order modelling phase in described stage 1 is mainly determined to treat scheduling order according to order taking responsibility amount, order delivery date, order rate of profit, delay punishment and enterprise's production capacity five key elements, and its treatment scheme as shown in Figure 2.
Step101. sequence information is obtained by terminal device.
Wherein terminal device comprises ERP, infosystem, sensor data acquisition equipment and the intelligent production equipment such as production management system based on RFID, while obtaining sequence information, can be used for obtaining ongoing processing tasks information and worker's process data, device type, equipment use status information on produced on-site line.
Sequence information at least comprises order delivery date, order taking responsibility amount information, order style/specification information, as order planning foundation.
Step102. order model construction, for Order Sorting, determines the order preferentially entering the scheduling stage.
Order model is mainly used in weighing the importance of order, determines each order planning order, and it relates to order taking responsibility amount, order delivery date, order rate of profit, extension penalty coefficient and enterprise's production capacity five key elements.
Can enterprise's production capacity be changeless in enterprise is without situations such as enlargings, complete the order delivery amount of regulation for weighing enterprise within order delivery date of regulation; Extension penalty coefficient is for calculation task required penalty cost paid in back order situation.Multiple order all can complete assignment of mission amount prerequisite under on schedule, then calculate order importance degree according to all the other four elementses, determine preferential scheduling order.
Definition:
Current: estimate the processing start time;
D: order delivery date;
T: Order Processing cycle, order D at delivery date with estimate process the difference of start time Current after uniform units, unit of account can hour or day count, be defined as hourage here;
E: the maximum production capacity of enterprise in process-cycle T;
Q: order taking responsibility amount;
P: single-piece sales revenue;
C=∑ c
i: cost per unit; Wherein, c
iit is the i-th procedure production cost;
T: single-piece work cycle; Obtained by accumulative each operation machining period, its unit can set according to demand, is defined as hourage here;
W: back order single-piece penalty coefficient, is determined according to order actual conditions by enterprise;
Then: as q≤E, the order profit in during t × q is: profit=(p-∑ c
i) × q;
Otherwise, as q>E, then cannot the production of this order of complete independently with the current production capacity of enterprise, need to carry out order processing according to enterprise practical situation.
Enterprise is scheduling target with profit maximization under certain production capacity condition, that is:
Then, in production cycle T, order can be created profit and be within the unit interval:
profit value I can be created in unit interval
daylarger, then this order is more introduced into the scheduling stage.
The scheduling mo del stage in stage 2 is mainly in conjunction with produced on-site information and facility information, with delivery date and delivery amount for constraint condition, situation is equipped with according to resources such as bra materials, for treating that rational machining production line selected by scheduling order under single task scheduling pattern or multitask scheduling pattern, and judge mark flat is set
l, flat
lbe that 0 expression production line l is unavailable, flat
lbe that 1 expression can be processed on this production line l; Its treatment scheme as shown in Figure 3.
Step201. produced on-site information and facility information is obtained by terminal device; Produced on-site information comprises ongoing mission bit stream and worker's process data information on production line; Facility information mainly refers to and obtains device type information on production line and equipment use status information;
Step202. obtain order taking responsibility material by terminal device and be equipped with situation; The acquisition of this information is mainly used in the auxiliary determination treating scheduling order, and quick eliminating still can not carry out the order of scheduling; The order that material outfit situation is still not enough to meet this order style of production line one day capacity consumption wouldn't enter scheduling pattern.On described production line, this order style capacity consumption data of a day are the material datas such as the bra materials of the minimum needs obtained with the production data of money or similar style according to history on this production line.
Step203. scheduling model selection, comprises single task pattern and multi job mode two kinds; Single task pattern refers in same production line at one time only carries out a task, without the producing alternately phenomenon of multiple different task; Multi job mode refers in same production line at one time can carry out the multi-task, and production line working terminal may produce production conflict phenomenon.
Step204. the analysis of scheduling order taking responsibility is treated; According to order order, select not arrange a single order, obtain this order taking responsibility process information simultaneously, and calculate single-piece work cycle t according to operation history process data;
Step205. to meet delivery date and delivery amount for constraint condition determination production line yield ratio coefficient, production capacity overload phenomenon after judging new order task scheduling, whether is produced; Do not produce production capacity overload phenomenon can enter the scheduling scheme in stage 3 and determine the stage; There is production capacity overload phenomenon and then can carry out the production measure such as outsourcing or many line productions of same task according to enterprise practical situation.
Definition: on production line, ongoing original task all can complete predetermined quantity when not adding other new order taking responsibility and taking production line production capacity within delivery date.
(1) under single task scheduling pattern, treat that scheduling task takies whole production capacities of production line l, and after scheduling task, continue original task that do not complete again completing, its production line l is chosen as:
Definition:
| Task names | General assignment amount | The amount of finishing the work | Residue task amount | Process-cycle (hour) |
| The original task of production line | All 1 | Arrange | Remain | P 1 |
| Treat the new task of scheduling | All 2 | 0 | All 2 | P 2 |
C
la: the style a maximum production capacity on production line l identical or the most similar with treating the new task of scheduling, namely production line l is at working time every day T
1the processing number of packages of the interior style a that can complete; These data can obtain according to the history process data statistical study of style a on production line l;
Then, production line l in the maximum production capacity of the style a that can complete per hour is:
Treat that the estimated time of commencement of the new task of scheduling is: S
l2=current;
Complete with whole production capacities of production line l the new task treating scheduling, then the process time of new task is:
Then, treat that the end time of the new task of scheduling is:
Then, the start time of production line original tasks leave task amount Remain is: S
l1=E
l2; Process time is:
End time is:
Selection satisfies condition
Production line l carry out the monotype scheduling of this new task, enter the stage 3.
(2), under multitask scheduling pattern, treat that on the new task of scheduling and production line, original task takies the production capacity of different proportion production line l respectively, its production line l is chosen as:
Definition:
| Task names | General assignment amount | Residue task amount | Process-cycle (hour) | The single-piece work cycle (hour) |
| The original task of production line | All 1 | Remain | P 1 | t 1 |
| Treat the new task of scheduling | All 2 | All 2 | P 2 | t 2 |
C
la: the style a maximum production capacity on production line l identical or the most similar with treating the new task of scheduling, namely production line l is at working time every day T
1the processing number of packages of the interior style a that can complete; Then maximum production capacity every day of the original task of production line is C
l1; Treat that the every day of the new task of scheduling, maximum production capacity obtained as C according to the history process data statistical study of production line l history operation record similar tasks
l2.
Under multitask scheduling pattern, with working time every day T
1complete the processing quantity of the multiple processing tasks on production line l as much as possible, and to meet task delivery date be scheduling target, namely the original task of production line is respectively x and y with production quantity every day of the new task treating scheduling, meets z=max (x+y); X and y is positive integer and satisfies condition:
Simultaneously for meeting condition at delivery date, when the original task of production line and new task are produced with the yield ratio of x:y, preferentially can complete process-cycle shorter task, namely be greater than the process-cycle of the new task treating scheduling when original task process-cycle of the production line l of Xuan Zeing, namely work as P
1>P
2in time, need satisfy condition
And be not more than the process-cycle of the new task treating scheduling when original task process-cycle of the production line l selected, namely work as P
1≤ P
2in time, need satisfy condition
Stage 2, for treating in scheduling task choosing fabrication line process, enters Step205 after can selecting production line to be selected fast according to priority principle.Described priority principle comprises: production line efficiency supreme principle; The minimum principle of production line task amount; And equipment replacement shortest time principle.
The scheduling conceptual level in stage 3 is then according to flat
lthe apparatus for production line service condition, job change situation etc. of=1 generate the detailed task scheduling scheme under single task scheduling pattern or multitask scheduling pattern, its treatment scheme as shown in Figure 4, according to the details such as scheduling pattern, production line selection of the scheduling task for the treatment of that the stage 2 obtains, enter the solution formulation flow process under different mode, form order planning scheme.The scheduling pattern in described stage 3 comprises single task pattern and multi job mode two kinds, and it must be consistent for scheduling model selection selected during until scheduling task choosing production line with the stage 2.
The whole production capacity of production line is taken under single task scheduling pattern, the determination of its scheduling scheme, to treat that delivery date of scheduling task and delivery amount are for constraint condition, carry out the distribution of operation and operation website on production line according to produced on-site information, facility information, process information, generate task scheduling scheme.By terminal device, ongoing processing tasks information and worker's process data, device type, equipment use status information on Real-time Obtaining produced on-site line, upgrade order taking responsibility scheduling scheme, if the original task of production line l completes, and flat
lvalue be revised as 1 by 0, scheduling is carried out, then by flat to new task
lvalue be revised as 0 by 1.
Under multitask scheduling pattern, the determination of task scheduling scheme, to treat that delivery date of scheduling task and original task and delivery amount are for constraint condition, generate detailed task scheduling scheme after analyzing the condition of production further, specifically comprise according to produced on-site information and facility information:
Step301. flat is determined
lconflict operation w on the production line l of=1; Described conflict operation refers to that two (comprising two) above tasks carry out adding man-hour, all necessary operation and operation website, equipment on same production line simultaneously;
Step302. according to other operation output situations of change before and after yield ratio coefficient analysis critical process; That is, point centered by critical process, analyzes the output change of preceding working procedure back to front, and analyzes the output change of later process from front to back.
Definition: production line worker p; Conflict operation w; Task workpiece k; Can obtain according to history process data: the worker p of conflict operation w totals the processing quantity TO (p, w) of workpiece; The worker p of conflict operation w processes total TW (p, w) consuming time; Can obtain further: the production efficiency of the worker p of conflict operation w is: AV (p, w)=TW (p, w)/TO (p, w).
Then at working time every day T
1in, the productive capacity of conflict operation w is evaluated as:
wherein, p belongs to conflict operation worker collection; W belongs to conflict operation collection W.With the productive capacity assessed value C of the operation w that conflicts
wcan quantize to realize Step302.
Step303. with delivery date, delivery amount and operation production capacity for constraint condition, in conjunction with the real-time condition of production of production line, can weighing on production line of task complete preplanned mission amount all on schedule.To meet on task total amount and production line and this task style every day the ratio of quantum of output (this value calculates according to the output accounting coefficient x:y in stage 2) number of days of task defined can be not more than, then can carry out the scheduling of new task, flat
lvalue be revised as 1 by 0, generate detailed order production scheduling scheme in conjunction with equipment use state on production line; If preplanned mission amount can not be completed, then by flat all on schedule
lvalue be revised as 0 by 1, show that new task wouldn't carry out multitask scheduling on this production line; And in adjustable numbers range, namely as being less than the adjustable number of times of regulation in accompanying drawing 4 by adjustment number of times i value, the production capacity accounting coefficient between adjustment task, assessment also analysis task output change again, until when the task on production line can complete on schedule, by flat
lvalue be revised as 1 by 0, carry out the scheduling of new task, generate scheduling scheme.
Described adjustable number of times is by enterprise according to production actual set, and each task that adjustable number of times still cannot realize on production line if exceed completes preplanned mission amount on schedule, then can carry out single task pattern scheduling when not splitting task.Such as, when a certain task actual finish time is ahead of plan delivery date, then adjustable production line yield ratio coefficient, the slightly slow task of progress on the same production line that raises speed, to ensure all to complete preplanned mission amount within delivery date.
Definition: flat
lthe production line l of=1, i-th processing website on it is f
li; Treat that the order taking responsibility process number of scheduling is J;
On described production line, scheduling scheme should relate to the distribution of processing website, if judge mark flat
i, for judging whether task can at website f
liupper processing; Website is under the abnomal condition such as equipment failure, maintenance, and its value is-1; Website is not having in operation task matching situation, and its value is 0; Website is being assigned under operation task, and its value can be labeled as the assembly coding of task and operation, such as flat
i=Sj shows that this website is the processing of the jth operation for task S, 1≤j≤J;
Under described website is distributed in single task scheduling pattern, same time production line only has a task S carrying out, thus the distribution of website comprises: 1. whether list distribution in, i.e. flat according to site apparatus start and stop situation determination website
ithe website of=-1 is directly rejected; 2. required website quantity is determined according to operation man-hours requirement; 3. operation j belonging to website is determined according to site apparatus with mating of processing apparatus; 4. to the website of coupling, judge mark value is selected to be the website of 0, the website that can use according to the history process data optimum selecting operation j of this operation of website; 5. by by the website flat selected
imark value is corresponding changes to Sj, after completing operation task, and flat
imark value corresponding modify is 0;
Described website distributes in a multi-tasking mode, website is assigned the processing tasks of multiple different task operation at one time, thus its website be distributed in perform above-mentioned 1. 2. 3. after, 4. its step is the website to coupling, judge mark value is selected to contain the website of 0, the website that can use according to the history process data optimum selecting operation j of this operation of website; 5. its step comprises: website flat belonging to non conflicting operation
imark and correspondingly change to Sj, after completing operation task, its value is revised as 0; The judge mark flat of website belonging to conflict operation
ican be changed into the array that value is Sj; Such as website flat
i={ Sj, Mj} then show that this website can simultaneously for a jth operation of task S and task M, and after the S that finishes the work, its value corresponding modify are flat
i={ 0, Mj}.
Clothes intelligence scheduling method proposed by the invention is without the need to manually carrying out the calculating such as production line production capacity and efficiency, the on-the-spot practical condition obtained according to terminal device and facility information, in conjunction with history process data, automatically each production line production capacity and efficiency situation is calculated, preferred production line, to carry out the scheduling of new task, is ensureing that each task completes the task of predetermined quantity at respective delivery date in restriction.The manual scheduling that this scheduling method is relatively traditional, its scheduling cycle is significantly shortened, and the accuracy of production planning and sequencing and feasibility at the scene production data and historical data support basis are also largely increased.
Claims (9)
1. a clothes intelligence scheduling method, is characterized in that, comprise as the next stage:
The order modelling phase in stage 1.; This stage is mainly used in building order model, determines the order needing to enter the scheduling stage; Specifically comprise:
Step101. sequence information is obtained by terminal device.
Step102. order model construction, for Order Sorting, determines the order preferentially entering the scheduling stage;
Stage 2. scheduling mo del establishment stage.This stage is mainly used in building scheduling mo del, completes, for rational machining production line selected by order according to material outfit situation, produced on-site situation, order taking responsibility situation.Specifically comprise:
Step201. produced on-site information and facility information is obtained by terminal device; Described produced on-site information comprises ongoing mission bit stream and worker's process data information on production line; Described facility information mainly refers to and obtains device type information on production line and equipment use status information;
Step202. the material outfit situation of bra materials needed for order is obtained by terminal device;
Step203. scheduling model selection, comprises single task pattern and multi job mode two kinds;
Described single task pattern refers in same production line at one time only carries out an order taking responsibility, without the producing alternately phenomenon of multiple different task; Described multi job mode refers to the interior production can carrying out multinomial order taking responsibility at one time of same production line, and production line working terminal may produce production conflict phenomenon;
Step204. scheduling task analysis is treated; According to order order, select not arrange single order, obtain order taking responsibility process information simultaneously, and calculate the single-piece work cycle according to operation history process data;
Step205. to meet delivery date and delivery amount for constraint condition determination production line yield ratio coefficient, production capacity overload phenomenon after judging new task scheduling, whether is produced; Do not produce production capacity overload phenomenon can enter the scheduling scheme in stage 3 and determine the stage; There is production capacity overload phenomenon and then can carry out the production measure such as outsourcing or many line productions of same task according to enterprise practical situation.
Stage 3. scheduling scheme determines the stage; Ongoing processing tasks information and worker's process data, device type, equipment use status information on Real-time Obtaining produced on-site line, upgrade order taking responsibility scheduling scheme; Tackle apparatus for production line fault simultaneously, order taking responsibility adds or the emergency case such as minimizing, to analyze after scheduling each order taking responsibility processing situation on production line further, generate detailed order taking responsibility scheduling scheme.
2. clothes intelligence scheduling method as claimed in claim 1, it is characterized in that, described terminal device comprises ERP, infosystem, sensor data acquisition equipment and the intelligent production equipment such as production management system based on RFID, while obtaining sequence information, can be used for obtaining ongoing processing tasks information and worker's process data, device type, equipment use status information on produced on-site line;
Described sequence information at least comprises order delivery date, order taking responsibility amount information, order style/specification information, as order planning foundation.
3. clothes intelligence scheduling method as claimed in claim 1, it is characterized in that, order model described in order model construction is mainly used in the importance weighing order, determine to treat scheduling order, it relates to order taking responsibility amount, order delivery date, order rate of profit, delay punishment and enterprise's production capacity five key elements;
Can described enterprise production capacity be changeless in enterprise is without situations such as enlargings, complete the order delivery amount of regulation for weighing enterprise within order delivery date of regulation; Described extension penalty coefficient is for calculation task required penalty cost paid in back order situation; Multiple order all can complete assignment of mission amount prerequisite under on schedule, then calculate order importance degree according to all the other four elementses, determine the order preferentially entering stage 2 scheduling.
4. clothes intelligence scheduling method as claimed in claim 1, it is characterized in that, the described stage 2, for treating in scheduling task choosing fabrication line process, enters Step205 after can selecting production line to be selected fast according to priority principle; Described priority principle comprises: production line efficiency supreme principle; The minimum principle of production line task amount; And equipment replacement shortest time principle.
5. clothes intelligence scheduling method as claimed in claim 1, it is characterized in that, scheduling scheme determines the stage: for task scheduling scheme under single task scheduling pattern really rule be treat that the delivery date of scheduling task and delivery amount are constraint condition, carry out the distribution of operation and operation website according to produced on-site information and facility information, generate task scheduling scheme;
For task scheduling scheme under multitask scheduling pattern really rule be treat that the delivery date of scheduling task and ongoing original task and delivery amount are constraint condition, generate detailed task scheduling scheme after analyzing the condition of production further according to produced on-site information and facility information, specifically comprise:
Step301. operation of conflicting is determined; Described conflict operation refers to that two (comprising two) above tasks carry out adding man-hour, all necessary operation and operation website, equipment on same production line simultaneously;
Step302. according to other operation production history situations before and after yield ratio coefficient analysis critical process; That is, point centered by critical process, analyzes the production history of preceding working procedure back to front, and analyzes the production history of later process from front to back;
Step303. with delivery date, delivery amount and operation production capacity for constraint condition, weigh under this constraint condition, can the task on production line complete preplanned mission amount all on schedule.If preplanned mission amount can both be completed on schedule, then generate detailed production scheduling scheme in conjunction with equipment use state on production line; If can not complete preplanned mission amount all on schedule, be then adjusted the detailed task scheduling scheme of rear generation according to apparatus for production line use amount, yield ratio coefficient etc., adjustable number of times is determined according to enterprise practical.
6. clothes intelligence scheduling method as claimed in claim 1, it is characterized in that, enterprise take profit maximization as scheduling target under certain production capacity condition, carries out Order Sorting, determines the order preferentially entering the scheduling stage, that is:
Then, in production cycle T, order can be created profit and be within the unit interval:
profit value I can be created in unit interval
daylarger, then this order is more introduced into the scheduling stage.
7. clothes intelligence scheduling method as claimed in claim 1, is characterized in that, obtain order taking responsibility material be equipped with situation information by terminal device; The acquisition of this information is mainly used in the auxiliary determination treating scheduling order, and quick eliminating still can not carry out the order of scheduling; The order that material outfit situation is still not enough to meet this order style of production line one day capacity consumption wouldn't enter scheduling pattern; On described production line, this order style capacity consumption data of a day are the material datas such as the bra materials of the minimum needs obtained with the production data of money or similar style according to history on this production line.
8. clothes intelligence scheduling method as claimed in claim 1, is characterized in that, under single task scheduling pattern, treat that scheduling task takies whole production capacities of production line l, and after scheduling task, continues original task that do not complete again completing, and selects to satisfy condition
Production line l carry out the monotype scheduling of new task, enter the stage 3;
Under multitask scheduling pattern, treat that on the new task of scheduling and production line, original task takies the production capacity of different proportion production line l respectively, with working time every day T
1complete the processing quantity of the multiple processing tasks on production line l as much as possible, and to meet task delivery date be scheduling target, namely the original task of production line is respectively x and y with production quantity every day of the new task treating scheduling, meets z=max (x+y); X and y is positive integer and satisfies condition: t
1× x+t
2× y≤T
1;
Simultaneously for meeting condition at delivery date, when the original task of production line and new task are produced with the yield ratio of x:y, preferentially can complete process-cycle shorter task, namely be greater than the process-cycle of the new task treating scheduling when original task process-cycle of the production line l of Xuan Zeing, namely work as P
1>P
2in time, need satisfy condition
And be not more than the process-cycle of the new task treating scheduling when original task process-cycle of the production line l selected, namely work as P
1≤ P
2in time, need satisfy condition
9. clothes intelligence scheduling method as claimed in claim 1, it is characterized in that, in the described stage 3, on production line, scheduling scheme should relate to the distribution of processing website, if judge mark flat
i, for judging whether task can at website f
liupper processing; Website is under the abnomal condition such as equipment failure, maintenance, and its value is-1; Website is not having in operation task matching situation, and its value is 0; Website is being assigned under operation task, and its value can be labeled as the assembly coding of task and operation;
Under described website is distributed in single task scheduling pattern, same time production line only has a task S carrying out, thus the distribution of website comprises: 1. whether list distribution in, i.e. flat according to site apparatus start and stop situation determination website
ithe website of=-1 is directly rejected; 2. required website quantity is determined according to operation man-hours requirement; 3. operation j belonging to website is determined according to site apparatus with mating of processing apparatus; 4. to the website of coupling, judge mark value is selected to be the website of 0, the website that can use according to the history process data optimum selecting operation j of this operation of website; 5. will by selection website flat
imark value is corresponding changes to Sj, after completing operation task, and flat
imark value corresponding modify is 0;
Described website distributes in a multi-tasking mode, website is assigned the processing tasks of multiple different task operation at one time, thus its website be distributed in perform above-mentioned 1. 2. 3. after, 4. its step is the website to coupling, judge mark value is selected to contain the website of 0, the website that can use according to the history process data optimum selecting operation j of this operation of website; Its step is 5.: website flat belonging to non conflicting operation
imark and correspondingly change to Sj, after completing operation task, its value is revised as 0; The judge mark flat of website belonging to conflict operation
ican be changed into the array that value is Sj.
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| CN201510733587.1A CN105427021A (en) | 2015-10-30 | 2015-10-30 | Intelligent clothes production scheduling method |
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