CN109242229A - A kind of production scheduling method of more rules constraint - Google Patents

A kind of production scheduling method of more rules constraint Download PDF

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CN109242229A
CN109242229A CN201710555331.5A CN201710555331A CN109242229A CN 109242229 A CN109242229 A CN 109242229A CN 201710555331 A CN201710555331 A CN 201710555331A CN 109242229 A CN109242229 A CN 109242229A
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原文斌
彭慧
史海波
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Shenyang Institute of Automation of CAS
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Abstract

The present invention relates to a kind of production scheduling methods of more rules constraint, and specific to vehicle industry, multi items mixed production sprays replacement frequency to guarantee delivery just-in-time, reducing Painting Shop, improves assembly shop load balancing, treat the problem of scheduling order is ranked up.Its step are as follows: step 1: initialization；Step 2: to scheduling order decomposition；Step 3: the shop Planning that is welded is generated based on constraint rule；Step 4: according to step 3 result and Painting Shop constraint rule, generating Painting Shop production plan；Step 5: according to step 4 result and assembly shop constraint rule, generating assembly shop production plan.When the present invention can effectively solve the problem that vehicle industry Flexible production, it is unsorted caused by Painting Shop paint color frequently replace, the decline of assembly shop load imbalance, production capacity, the spraying problems such as cost height, improve production efficiency.

Description

A kind of production scheduling method of more rules constraint
Technical field
The present invention relates to a kind of production schedulings of more rules constraint, total specific to multi items during vehicle industry production Line production, lacks reasonable production scheduling, the Painting Shop paint color of initiation is frequently replaced, assembly shop load imbalance etc. A series of problems.
Background technique
China's vehicle industry uses mixed-model assembly line production model, i.e., same production line can produce various, a variety of The vehicle of color.The production model can be very good to adapt to the market environment of vehicle industry: numerous in variety, order is small in batches, delivers goods Date is tight.The mode can effectively promote the market competitiveness, strive for more market shares.But this multi-vehicle-type, more colors Vehicle Flexible production will also result in the problems such as production capacity is low, produce load is unbalanced, the production cycle increases, increased costs, it is former Because being a lack of reasonable production scheduling, cause a systems such as Painting Shop paint color frequent changes, assembly shop load be unbalanced Column problem.There are many constraint condition of vehicle industry production scheduling, and existing general constraint condition such as delivery date constraint etc. also has row In the constraint condition of industry feature such as color set, vehicle concentration, distribution of color, vehicle distribution.
With the continuous improvement of manufacturing informatization degree, the research for production scheduling is also more and more deep.Towards In terms of the research of automobile manufacture industry, focusing mostly in workshop level scheduling, the punching press for vehicle industry of connecting is welded, coating and general assembly, Comprehensively consider the production scheduling under more rules constraint condition, either periodical and patent of invention does not all have substantially.The present invention focuses on A kind of scheduling method described for the production scheduling problem under the concatenated more rules constraint in more workshops.
Summary of the invention
In view of the above-mentioned problems, the invention proposes a kind of production schedulings of more rules constraint.
Present invention technical solution used for the above purpose is: a kind of production scheduling of more rules constraint, including Following steps:
Step 1: the constraint condition that will affect production scheduling is initialized as the regular collection of production rule composition, is expressed asWherein RiFor production rule, n is business rule number；
Step 2: according to production rule RiAttribute determine rule RiWhich kind of production rule type belonged to, and determines rule only One mark, priority level, logic rules processing；
Step 3: from rule setIn filter out the rule for not meeting currently workshop to be arranged, and according to priority Other height formation rule sequence；
Step 4: will be the set of traceable part, the sequence of rules of traversal step 3, by sequence of rules to scheduling order decomposition The set of the traceable part is ranked up；
Step 5: obtaining the row to a workshop completion date on scheduling workshop daily schedule and traceable part, according to step 4 Sequence as a result, obtain traceable part to scheduling workshop go into operation and completion date；
Step 6: according to step 3,4,5, obtain multiple adjacent process workshops go into operation and completion date, and modify this workshop At the beginning of be a upper workshop completion date.
The production rule is divided into such as Types Below: delivery-based priority rule, rule, distribution of color rule, vehicle in color set Type concentrates rule, vehicle distribution rule, engine that rule, engine distribution rule, gearbox is concentrated to concentrate rule, gearbox point Cloth rule, load balancing rule, logistics consume levelized rule.
The property set of each rule in the production rule includes as properties: regular unique identification, priority, rule are patrolled Collect processing unique identification；It can be one of following according to requiring to increase: concentrating maximum quantity, color distribution ratio, vehicle distribution Ratio, it is high, normal, basic to match distribution proportion, engine distribution proportion, gearbox distribution proportion.
The logic rules processing includes concentrated logical process, distributed logic processing, load balancing logic processing, object Stream consumption levelized logical process, delivery-based priority logical process；
Concentrated logical process concentrates rule, engine that rule, gearbox is concentrated to concentrate towards rule, vehicle in color set Business rule；
Distributed logic processing is distributed towards distribution of color rule, vehicle distribution rule, engine distribution rule, gearbox Business rule；
Load balancing logic handles facing load balance rule；
Logistics consumes levelized logical process Logistics Oriented consumption levelized rule；
Delivery-based priority logical process is towards delivery-based priority business rule.
The concentrated logical process the following steps are included:
1) schedule queue to be arranged will be split as to scheduling order；
2) next vehicle to be sorted is obtained；
Next vehicle if it exists then obtains the attribute of currently vehicle to be sorted；If it exists when the vehicle attribute same queue, It is inserted into the queue, otherwise, creates the vehicle attribute queue, and establish the queue identity, be inserted into vehicle to the queue；
Next vehicle if it does not exist creates a new storage queue for storing all sorted vehicles, traverses institute There is vehicle attribute queue, vehicle dequeues all in queue are inserted into the new storage queue.
The distributed logic the following steps are included:
1) schedule queue to be arranged will be split as to scheduling order；
2) next vehicle to be sorted is obtained；
Next vehicle if it exists then obtains the attribute of currently vehicle to be sorted；If it exists when the vehicle attribute same queue, It is inserted into the queue, otherwise, creates the vehicle attribute queue, and establish the queue identity, be inserted into vehicle to the queue；
Next vehicle if it does not exist creates a new storage queue for storing all sorted vehicles；Traversal institute There is vehicle attribute queue, individual queue head of the queue dequeue is inserted into the new storage queue；The operation is recycled, until all categories Property queue be sky.
The attribute is vehicle color, vehicle or gearbox.
The invention has the following advantages that
1. can fully consider production constraint when production scheduling.
2. can be effectively reduced the frequency of Painting Shop spray coated paint replacement.
3. can effectively solve the problem that assembly shop load imbalance problem.
4. the present invention can effectively solve the problem that vehicle industry Flexible production, it is unsorted caused by Painting Shop paint color frequency The problems such as numerous replacement, the decline of assembly shop load imbalance, production capacity, spraying cost height, improve production efficiency.
Detailed description of the invention
Fig. 1 is overview flow chart of the invention；
Fig. 2 is general module figure of the invention；
Logic rules process flow diagram in Fig. 3 color set；
Fig. 4 vehicle concentrates logic rules process flow diagram；
Fig. 5 gearbox concentrates logic rules process flow diagram.
Specific embodiment
With reference to the accompanying drawing and case study on implementation the present invention is described in further detail.
As Figure 1-Figure 2, a kind of production scheduling of more rules constraint, specific to vehicle industry, multi items are collinearly given birth to It produces, sprays replacement frequency to guarantee delivery just-in-time, reducing Painting Shop, improve assembly shop load balancing, treat scheduling order The problem of being ranked up.The following steps are included:
Step 1: the constraint condition that will affect production scheduling is initialized as a series of regular collection of production rule compositions, table It is shown asWherein RiFor production rule, production rule is divided into such as Types Below: delivery-based priority rule, advises in color set Then, distribution of color rule, vehicle concentrate rule, vehicle distribution rule, it is high, normal, basic match distribution rule, engine concentrate rule, send out Motivation distribution rule, gearbox concentrate rule, gearbox distribution rule, load balancing rule, and logistics consumes levelized rule；
Step 2: according to service logic, according to production rule RiAttribute determine rule RiWhich kind of production rule type belonged to, And it determines regular unique identification (rule number), priority level, uniquely handle logic (input, logical process, output)；
Step 3: according to service logic, from rule setIn filter out the rule for not meeting currently workshop to be arranged, And according to priority level height formation rule sequence；
Step 4: will be the set of traceable part, the sequence of rules of traversal step 3, by sequence of rules to scheduling order decomposition The set of the traceable part is ranked up；
Step 5: obtaining to a workshop completion date on scheduling workshop daily schedule and traceable part, calculated according to step 4 Ranking results out, calculate traceable part to scheduling workshop go into operation and completion date.
Step 6: according to step 3,4,5, successively calculate punching press, be welded, coating and assembly shop go into operation and completion date, And by the completion date in a upper workshop, it is defaulted as the on-stream time in next workshop, is that this is complete at the beginning of modifying this workshop Between working hour.
The underlying attribute collection of the delivery-based priority rule are as follows: { regular unique identification, priority, logic rules processing is only One mark }.
Regular underlying attribute collection in the color set are as follows: { regular unique identification, priority, logic rules processing are unique Mark concentrates maximum quantity }.
The underlying attribute collection of the distribution of color rule are as follows: { regular unique identification, priority, logic rules processing are unique Mark, color distribution ratio }.
The vehicle concentrates the underlying attribute collection of rule are as follows: { regular unique identification, priority, logic rules processing are unique Mark concentrates maximum quantity }.
The underlying attribute collection of the vehicle distribution rule are as follows: { regular unique identification, priority, logic rules processing are unique Mark, vehicle distribution proportion }.
The high, normal, basic underlying attribute collection with distribution rule are as follows: { regular unique identification, priority, logic rules processing Unique identification, high, normal, basic to match distribution proportion.
The engine concentrates the underlying attribute collection of rule are as follows: { regular unique identification, priority, logic rules processing is only One mark, concentrates maximum quantity }.
The underlying attribute collection of the engine distribution rule are as follows: { regular unique identification, priority, logic rules processing is only One mark, engine distribution proportion }.
The gearbox concentrates the underlying attribute collection of rule are as follows: { regular unique identification, priority, logic rules processing is only One mark, concentrates maximum quantity }.
The underlying attribute collection of the gearbox distribution rule are as follows: { regular unique identification, priority, logic rules processing is only One mark, gearbox distribution proportion }.
The underlying attribute collection of the load balancing distribution rule are as follows: { regular unique identification, priority, logic rules processing Unique identification }.
The underlying attribute collection of logistics consumption levelized rule are as follows: { regular unique identification, priority, at logic rules Manage unique identification }.
The logic rules processing, logical process mode include concentrated logical process, distributed logic processing, load Logical process, the logistics of weighing consume levelized logical process, delivery-based priority logical process.
As shown in Figure 3-Figure 5, concentrated logical process towards in color set, vehicle concentrate, engine concentrate, gearbox collection Middle business rule；By taking color as an example, the processing of other attribute logics is identical, specifically includes the following steps:
1) schedule queue to be arranged will be split as to scheduling order；
2) next vehicle to be sorted is obtained；
Next vehicle if it exists then obtains the color attribute of currently vehicle to be sorted；The identical team of the vehicle color if it exists It when column, is inserted into the queue, otherwise, creates the vehicle color queue, and establish the queue identity, be inserted into vehicle to the queue；
Next vehicle if it does not exist creates a new storage queue for storing all sorted vehicles, traverses face Vehicle dequeues all in queue are inserted into the new storage queue by color queue.
Distributed logic processing is towards distribution of color, vehicle distribution, engine distribution, gearbox distribution service rule；With For color, the processing of other attribute logics is identical, specifically includes the following steps:
1) schedule queue to be arranged will be split as to scheduling order；
2) next vehicle to be sorted is obtained；
Next vehicle if it exists then obtains the color attribute of currently vehicle to be sorted；The identical team of the vehicle color if it exists It when column, is inserted into the queue, otherwise, creates the vehicle color queue, and establish the queue identity, be inserted into vehicle to the queue；
Next vehicle if it does not exist creates a new storage queue for storing all sorted vehicles.Traverse face Color queue, individual queue head of the queue dequeue are inserted into the new storage queue.The operation is recycled, until all colours queue is It is empty.
Load balancing logic handles facing load balance rule；Specifically includes the following steps:
1) it inputs: being split as schedule queue to be arranged to scheduling order；
2) function: the vehicle attribute in queue is ranked up according to specified distribution proportion mode, to ensure that vehicle assembles When, each assembly teams and groups' workload is suitable；
3) it exports: sorted vehicle.
Logistics consumes levelized logical process Logistics Oriented consumption levelized rule；Specifically includes the following steps:
1) it inputs: being split as schedule queue to be arranged to scheduling order；
2) function: the vehicle in queue is ranked up vehicle attribute according to specified distribution proportion mode, to ensure vehicle When assembly, parts consumption is remained unchanged in the unit time；
3) it exports: sorted vehicle.
Delivery-based priority logical process is towards delivery-based priority business rule.Specifically includes the following steps:
1) it inputs: being split as schedule queue to be arranged to scheduling order；
2) function: the vehicle in queue is resequenced according to delivery-based priority；
3) it exports: sorted vehicle.
Table 1 describes main production plan, wherein letter replaces vehicle, indicates are as follows: and { a, b, c, d, e .. }=> { 7 are luxurious Automatic plate, 7 coordinates match manual version, and 7 coordinates match manual version, 5 luxurious automatic plates, and 5 coordinates match automatic plate ... }.Number replaces face Color indicates are as follows: { 1,2,3,4,5 ... }=> { white, black is red, blue, brown ... }.
Table 1
O/No. Vehicle type Vehicle Color Quantity Time at delivery date
2017050001 A1 a 1 3 2017-06-01
2017050001 A2 a 2 2 2017-06-01
2017050001 B3 b 3 1 2017-06-01
2017050001 D5 d 5 4 2017-06-01
2017050002 A1 a 1 3 2017-06-02
2017050002 E5 e 5 4 2017-06-02
2017050002 B2 b 2 4 2017-06-02
Rule set is { delivery-based priority rule } when initialization, then is { 2017050001-3A according to rule compositor1, 2017050001-2A2,2017050001-1B3,2017050001-4D5,2017050002-3A1,2017050002-4E5, 2017050002-4B2}
Table 2 describes Painting Shop production constraint rule.
Table 2
Rule encoding Rule name Input rank Processing description Output queue Priority
R1 Delivery-based priority Sequence 1 It sorts by delivery date Sequence 2 1
R2 In color set Sequence 2 By sorting in color set Sequence 3 2
It is as shown in table 3 according to the sequence transformation of 2 production plan of table.
Table 3
Table 4 describes assembly shop production constraint rule.
Table 4
Rule encoding Rule name Input rank Processing description Output queue Priority
R3 Vehicle is concentrated Sequence 3 It concentrates and sorts by vehicle Sequence 4 1
R4 Gearbox is concentrated Sequence 4 It concentrates and sorts by gearbox Sequence 5 2
It is as shown in table 5 according to the sequence transformation of 4 production plan of table.
Table 5

Claims (7)

1. a kind of production scheduling method of more rules constraint, which comprises the following steps:
Step 1: the constraint condition that will affect production scheduling is initialized as the regular collection of production rule composition, is expressed asWherein RiFor production rule, n is business rule number；
Step 2: according to production rule RiAttribute determine rule RiWhich kind of production rule type belonged to, and determines the unique mark of rule Knowledge, priority level, logic rules processing；
Step 3: from rule setIn filter out the rule for not meeting currently workshop to be arranged, and according to priority level height Low formation rule sequence；
Step 4: will be the set of traceable part, the sequence of rules of traversal step 3, by sequence of rules to this to scheduling order decomposition The set of traceable part is ranked up；
Step 5: obtaining the sequence knot to a workshop completion date on scheduling workshop daily schedule and traceable part, according to step 4 Fruit, obtain traceable part to scheduling workshop go into operation and completion date；
Step 6: according to step 3,4,5, obtain multiple adjacent process workshops go into operation and completion date, and modify opening for this workshop Begin the completion date that the time is a upper workshop.
2. a kind of production scheduling method of more rules constraint according to claim 1, it is characterised in that the production rule Be divided into such as Types Below: delivery-based priority is regular, and rule, distribution of color rule, vehicle concentrate rule, vehicle to be distributed rule in color set Then, engine concentrates rule, engine distribution rule, gearbox to concentrate rule, gearbox distribution rule, load balancing rule, Logistics consumes levelized rule.
3. a kind of production scheduling method of more rules constraint according to claim 1, it is characterised in that the production rule In the property set of each rule include as properties: regular unique identification, priority, logic rules handle unique identification；It can root According to require increase below one of: concentrate maximum quantity, color distribution ratio, vehicle distribution proportion, it is high, normal, basic with distribution ratio Example, engine distribution proportion, gearbox distribution proportion.
4. a kind of production scheduling method of more rules constraint according to claim 1, it is characterised in that the logic rules Processing includes concentrated logical process, distributed logic processing, load balancing logic is handled, logistics consumes at levelized logic Reason, delivery-based priority logical process；
Concentrated logical process concentrates rule, engine to concentrate rule, gearbox centralized traffic towards rule, vehicle in color set Rule；Distributed logic processing is distributed industry towards distribution of color rule, vehicle distribution rule, engine distribution rule, gearbox Business rule；Load balancing logic handles facing load balance rule；It is flat that logistics consumes the consumption of levelized logical process Logistics Oriented Standardization rule；Delivery-based priority logical process is towards delivery-based priority business rule.
5. a kind of production scheduling method of more rules constraint according to claim 1, it is characterised in that the concentrated is patrolled Volume processing the following steps are included:
1) schedule queue to be arranged will be split as to scheduling order；
2) next vehicle to be sorted is obtained；
Next vehicle if it exists then obtains the attribute of currently vehicle to be sorted；If it exists when the vehicle attribute same queue, insertion In the queue, otherwise, the vehicle attribute queue is created, and establish the queue identity, is inserted into vehicle to the queue；
Next vehicle if it does not exist creates a new storage queue for storing all sorted vehicles, traverses all vehicles Vehicle dequeues all in queue are inserted into the new storage queue by attribute queue.
6. a kind of production scheduling method of more rules constraint according to claim 1, it is characterised in that the distribution is patrolled Volume the following steps are included:
1) schedule queue to be arranged will be split as to scheduling order；
2) next vehicle to be sorted is obtained；
Next vehicle if it exists then obtains the attribute of currently vehicle to be sorted；If it exists when the vehicle attribute same queue, insertion In the queue, otherwise, the vehicle attribute queue is created, and establish the queue identity, is inserted into vehicle to the queue；
Next vehicle if it does not exist creates a new storage queue for storing all sorted vehicles；Traverse all vehicles Attribute queue, individual queue head of the queue dequeue are inserted into the new storage queue；The operation is recycled, until all properties team It is classified as sky.
7. a kind of production scheduling method of more rules constraint according to claim 5 or 6, it is characterised in that the attribute is Vehicle color, vehicle or gearbox.
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