CN108876157A - Deploy the method and its management system of resources of production - Google Patents

Deploy the method and its management system of resources of production Download PDF

Info

Publication number
CN108876157A
CN108876157A CN201810662801.2A CN201810662801A CN108876157A CN 108876157 A CN108876157 A CN 108876157A CN 201810662801 A CN201810662801 A CN 201810662801A CN 108876157 A CN108876157 A CN 108876157A
Authority
CN
China
Prior art keywords
production
machine
website
resources
dtr1
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201810662801.2A
Other languages
Chinese (zh)
Other versions
CN108876157B (en
Inventor
汪丽
周星
徐书剑
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Intel Products Chengdu Co Ltd
Intel Corp
Original Assignee
Intel Products Chengdu Co Ltd
Intel Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Intel Products Chengdu Co Ltd, Intel Corp filed Critical Intel Products Chengdu Co Ltd
Priority to CN201810662801.2A priority Critical patent/CN108876157B/en
Publication of CN108876157A publication Critical patent/CN108876157A/en
Application granted granted Critical
Publication of CN108876157B publication Critical patent/CN108876157B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Health & Medical Sciences (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Manufacturing & Machinery (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • General Factory Administration (AREA)

Abstract

The present invention provides a kind of method that allotment resources of production use, wherein the resources of production include the machine for serving current production at website, this method includes:Receive the change of the factor of production on the production line, whether the changes in demand for calculating the resources of production caused by the change due to the factor of production, assess the resources of production changes in demand and meet and discharge at least part of the resources of production to serve the minimum requirements of other products.According to the present invention it is possible to objectively accurately assess the influence of the production capacity and human resources of the website on production line when the factor of production changes, and resource allocation can be accurately made convenient for user.

Description

Deploy the method and its management system of resources of production
Technical field
The present invention relates to the resource managements on production line, more particularly, to the technology of resources of production on allotment production line.
Background technique
The development of modern technologies, usually in the production line produce or pack product, and as pipeline system production production There is multiple websites on line, at least part being respectively completed in the production or packaging process of product works.Usually each It is complete within the scheduled production cycle that these machines are manipulated there is one or more machines at website and by relevant technical staff At production, to meet customer need.
However, also can constantly there is new product introduction to be given birth in the production line since production task, production requirement etc. change It produces or packs, therefore various corresponding machines needs are purchased in advance at each website, operator is also required to train in advance, and each Kind raw material also have oneself corresponding supply cycle, therefore when having new product task or needing to adjust current production task It waits, needs to formulate a production cycle (being denoted as CT) according to the demand in market, adjust the configuration of machine production capacity and human resources.And And every now and then, it the factors such as can also need according to market, change some factors in production process, such as production cycle or machine Production capacity CAP etc..
Why it is when CT or other factor of productions change that the calculation method of standard does not mention to calculate in the prior art Sample influences the production capacity and human resources arrangement of website, and operator can only lean on individual to estimate simultaneously according to the empirical method of oneself It arranges production.Since the empirical method of everyone calculating is inconsistent, data accuracy is not high, credible low.
Summary of the invention
The present invention specifically addresses the above problems.The present invention can assessment when changing of production factors in the production line Influence to resources of production, and this influence is indicated by the objective quantification index assessed and can be used for decision resources of production Allotment, to discharge resources of production or the resources of production discharged be used for the production and packaging of other products simultaneously.
According to one aspect of the present invention, a kind of method that allotment resources of production use is provided, wherein the resources of production Including being located at the machine for serving current production at the first website, this method includes:(A) production on the production line is received The change of factor, (B) calculates the changes in demand of the resources of production caused by the change due to the factor of production, and (C) comment Estimate whether the resources of production changes in demand meets at least part for discharging the resources of production to serve other products Minimum requirements.
In a preferred embodiment, wherein the factor of production includes the production cycle, the step (B) include calculate by The variation of the dosage of the machine caused by the change of the production cycle, the step (C) include assessing the machine Whether the variation of dosage meets the minimum requirements for servicing the other products, wherein the minimum requirements includes by the first stop The part machine consumption of point is converted into time T_Convert1 required for serving other products.
In a preferred embodiment, the step B further comprises:When extending the production cycle, determine due to production The releasable machine consumption dTR1 of cycle stretch-out institute, wherein dTR1=dT ÷ CT × TR1, wherein CT indicates production cycle, dT table Show the extension amount of production cycle, and TR1 indicates that the first website serves the actual machine number of current production;The step C is into one Step includes:Compare the machine consumption dTR1 of release and is transformed into occupied equivalent machine consumption bTR1 when other products, wherein When dTR1 is greater than bTR1, the dTR1 machine is deployed for other products, otherwise abandons deploying.
In a preferred embodiment, it when dTR1 is greater than or equal to bTR1, is calculated at the first website by following formula Production capacity waste:R_TR1-A_TR1-(dTR1-bTR1);The resources of production further include human resources, wherein described in the allotment DTR1 machine is used for occupied human resources HR=T_Convert1 × HC1 when other products, and wherein HC1 indicates interpreter The unit time of device occupied number.
In a preferred embodiment, wherein the resources of production include relevant to the first website in the production line be located at Multiple machines at second website, and the factor of production includes the production capacity at the second website;The method further includes: When production capacity at second website changes, (B1) calculates the change due to the machine production capacity at the second website and causes First website at machine consumption variation, and (C1) assess machine consumption at first website variation whether Meet the minimum requirements of machine service other products at the first website of change;And (B2) is calculated due to the production capacity at the second website Change caused by machine consumption at second website variation, and (C2) assess machine at second website and use Amount variation whether meet change the second website at machine service in the minimum requirements of other products.
In a preferred embodiment, it when the production capacity at second website increases, determines since production capacity increase causes Releasable machine consumption dTR1 at first website, wherein dTR1=Δ × R_TR1, wherein Δ indicates hundred that production capacity is promoted Divide ratio;The step C1 includes:Compare the machine consumption dTR1 of release and is transformed into occupied equivalent machine when other products Dosage bTR1, wherein deploying the dTR1 machine when dTR1 is greater than bTR1 and being used for other products, otherwise abandon to described the The resource allocation of one website.
In a preferred embodiment, the step B2 further comprises:When production capacity at second website increases, It determines since production capacity increases releasable machine consumption dTR2 at second website, wherein dTR2=R_TR2-A_TR2 × (1- Δ), wherein Δ indicates that the percentage that production capacity is promoted, R_TR2 indicate the practical machine that the current production is served at the second website Device quantity, and A_TR2 indicates the standard machine quantity that the current production is served at the second website;The step C2 includes: Compare the machine consumption dTR2 of release and be transformed into occupied equivalent machine consumption bTR2 when other products, wherein when dTR2 is big When bTR2, the dTR2 machine is deployed for the other products, otherwise abandons the resource allocation to second website.
In a preferred embodiment, it when dTR2 is greater than or equal to bTR2, is calculated at the second website by following formula Production capacity waste:R_TR2-A_TR2-(dTR2-bTR2);The resources of production further include human resources, wherein described in the allotment DTR2 machine is used for occupied human resources HR=T_Convert2 × HC2 when other products, and wherein HC2 indicates interpreter Device serves the unit time occupied number of other products.
Detailed description of the invention
The schematic diagram of website production product on production line according to an embodiment of the invention shown in fig. 1;
Fig. 2 shows the method flow diagrams of the resources of production executed according to one embodiment of present invention at website allotment;
Fig. 3 shows the method flow of the resources of production allotment executed at website according to another embodiment of the invention Figure.
Specific embodiment
The preferred embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in attached drawing Preferred embodiment, however, it is to be appreciated that may be realized in various forms the disclosure without the embodiment party that should be illustrated here Formula is limited.On the contrary, these embodiments are provided so that this disclosure will be more thorough and complete, and can be by the disclosure Range is fully disclosed to those skilled in the art.
Usually there are multiple websites in the production line, by cooperation between them complete some or certain class product production or Packaging.And method of the invention can be used for the prediction that the related resources of production on production line between any 2 websites use.Such as figure Shown in 1, for the sake of simplicity, show two websites as an example, in figure, wherein on production line front website S1 and Subsequent website S2 explains the present invention, wherein only having a platform machine N1 at website S1 executes production task, and in website Mating 5 machine M1-M5 execute identical production task at S2, and wherein S2 is the most nervous website of production capacity, between as S1-S2 Production line on bottleneck.In initial configuration, the machine at website S1, S2 is used for the production or packaging of product A.
In addition, in the following description, being used as a cycle CT for 7 days one week, generally for improving efficiency, in the production line The raw material of a production cycle are stored in advance, wherein production cycle CT=WIP ÷ Th, wherein WIP expression stock total amount, and Th table Show handling capacity.It is to be herein pointed out for the quantity in stock WIP on production line, although being devised according to productive target needs The number of machines TR needed to configure at website, i.e. TR=WIP ÷ P, wherein P indicates the nominal operation amount of single machine, just obviously right It is not necessarily an integer value in the working performance P, acquired TR of given quantity in stock WIP and single machine, therefore, to complete Task usually rounds up to designed TR, such as when the number of machines actually required at website S2 is 4.6, then takes The number of machines applied after whole should be just 5, and (can be understood as 5 machine operations can complete appointing for production cycle for 6.44 days Business), number of machines and standard machine numerical example such as 4.6 after being rounded are respectively indicated with R_TR and A_TR below.
There are many factor for influencing resources of production distribution in the production line, such as variation and each website machine of production cycle The variation etc. of performance, it is therefore desirable to resources of production are adjusted according to the variation of the factor of production, resources of production here include production Number of machines, personnel depaly and production raw material on line etc., to realize the effective use of resource, avoid machine or human resources Deng waste.For example, the production that remaining production capacity such as machine removes service other products can be distributed when excess capacity.According to The solution of the present invention receives the change of the factor of production on production line using a production management system, calculates due to production The variation of the resources of production caused by the change of factor, these variations include releasable number of machines etc., and are assessed in turn The resources of production change the requirement for whether meeting at least part for discharging the resources of production to serve other products.And And the waste situation of resources of production may further be provided, it is referred to for technical staff.Pass through the change of production cycle CT separately below Change and illustrates as the variation of the machine performance CAP at the website S2 of production bottleneck.
Influence about production cycle CT
In this example, for the sake of simplicity, only consider the real estate impact when changing the production cycle at the first website S1, and the The machine performance of two website S2 does not change.As shown in table 1, it shows and increases separately one day, two days and three days feelings in CT To the influence of the first website S1 under condition.The following detailed description of as follows.
Table 1
In this example, production task is completed for the second website S2 on cooperation production line, in fact, website S1 only needs one Machine and only need to play its 60% production capacity can meet demand, i.e. R_TR1=1, A_TR1=0.6, practical wave at this time The amount of expense (corresponding to wastage before converting in table 1) is 1-0.6=0.4.And when CT increases, it is clear that machine at S1 can be further decreased The performance requirement of device, it can the further production capacity of release machine.For machine, the machine resources burst size that is discharged DTR=CT increases the fixed production cycle × R_TR of number of days ÷, and in this example, the production cycle of used fixation is 7 days.Such as Shown in table 1, when CT increases by one, machine production capacity (can also the be referred to as number of machines) dTR1 discharged is:DTR1=1 ÷ 7 × R_TR1=0.15.It is assumed that the production that the first website S1 machine production capacity discharged is used for other products B is wished, such as Fig. 1 institute Show, needs operator that the machine is served product A from original at this time and be converted to production product B, and the conversion of this machine is obvious Conversion time is needed, T_Convert is denoted as1.Obvious this conversion operation also necessarily affects the production capacity of machine, for this purpose, in this hair In bright, the influence of this conversion time is further converted to the influence bTR1 to machine production capacity, such as bTR=T_Convert ÷ Ttotal × R_TR, here TTOTALTotal working time on production line is represented, is 7 days for the production cycle, the TTOTAL's Value is 7 days or 7 × 24=168 hours.For same type machine and the conversion of identical product type, when required conversion Between T_Convert be fixed, therefore its occupied machine production capacity be also it is fixed, these information can be stored in production management It is spare in system.As illustrated in table 1, the machine N1 at website S1 is converted from product A to product B, it is assumed that shared by it is converted Equivalent machine production capacity or machine quantity are 0.05.It can be used for having for product B in discharged production capacity it is possible thereby to calculate Imitate production capacity, i.e. dTR1-bTR1=0.1.Obviously, when only dTR1-bTR1 is greater than 0, this conversion is likely to significant.If institute It, then can be by the production capacity of machine at S1 when the effective capacity 0.1 of release can be used for the machine N1 production product B at website S1 0.15 distributes to the production of product B.Then at this point it is possible to calculate the production capacity waste CP_B=R_TR1-A_TR1- at website S1 (dTR1-bTR1)=0.3, which is less than the production capacity waste 0.4 when not being released to product B, therefore the efficiency of machine N1 obtains Further performance is arrived.At this point, the maximum effective use amount of machine N1 is A_TR1 and release utilization of resources amount (dTR1- The sum of bTR1), i.e. 0.6+0.1=0.7.Operator at website S1 is by releasably giving product shown in production management system Effective capacity and release after production capacity waste comparison, can easily make decisions, such as carry out machine in the production line The processing of conversion.
In previous example, being directed to discharged effective capacity 0.1 can be used for the production of machinery production at website S1 The case where product B.But if needing 20% production capacity of the machine N1 production capacity at S1 just to meet in the production line according to production requirement When the production requirement of B, it is clear that the machine N1 discharged in the case where the production cycle CT of product A only increases by one is effectively produced Energy 0.1 is not enough to the production for product B.Therefore operator does not go to consider the operation that machine generates at release S1, therefore this When production capacity waste still be 0.4.
It is also listed in table 1 when production cycle CT increases separately effective capacity release calculated in two days and three days and production capacity Waste situation.It can be seen that the releasable resource release request dTR1=0.3 of website S1 is examined when production cycle CT increases by two days Consider the consumption 0.05 for being transformed into product B, so release utilization of resources amount is 0.25, therefore, what is discharged at this time has Effect utilization can meet 20% capacity requirements of product B, therefore technical staff can make decisions and carry out machine in the production line Device conversion operation, and at this time production capacity waste then further reduce to convert before wastage and release utilization of resources amount it Difference, i.e. 0.4-0.25=0.15.And the maximum effective use amount of machine N1 rises to 0.6+0.25=0.85 after conversion.In life When producing period CT increase by three days, the releasable resource release request dTR1 of website S1 is theoretically 0.45, still, it is contemplated that real The machine resources burst size dTR1 of border release is at most wastage i.e. 0.4 before converting.Therefore, increase by three days in production cycle CT When, the releasable real resource burst size of website S1 is 0.4.It is similar with front, it is contemplated that be transformed into the consumption of product B 0.05, so release utilization of resources amount is 0.35, therefore, the effective use amount discharged at this time can meet product B's 20% capacity requirements, therefore technical staff can make decisions and carry out the operation of machine conversion in the production line, and at this time Production capacity waste then further reduces to before converting wastage and discharges the difference of utilization of resources amount, i.e. 0.4-0.35=0.05, Wastage i.e. at this time is only unavoidable waste caused by machine conversion, and the maximum of machine N1 effectively benefit after conversion Dosage rises to 0.6+0.35=0.95.Therefore, using the solution of the present invention, user be can be convenient, objectively makes and producing Whether reallocate to resources of production when factor changes to improve the decision of resource utilization.
Further, operator is when being made whether to be converted to the decision of product B, also it is further contemplated that making this The requirement of human resources required for converting, the requirement can further be quantified as HR=T_CONVERT × HC, and wherein HC indicates to turn It changes planes the unit time occupied number of device.If being able to satisfy human resources required for conversion products in the production line to want It asks, manager makes the decision of conversion again.
Variation about production capacity
On production line between website S1 and S2, the production capacity and manpower of the production history of the S2 as bottleneck to S1, S2 Resource has significant impact.Such as when S2 production capacity increases by 10%, it is meant that product only uses 7 × (1-10%) days that can run in S2 It is complete, vacant come out then remaining 10% production capacity just has an opportunity.Illustrate the shadow being equipped with to the resource of website S1, S2 separately below It rings.
(1) to the influence of website S1
Following table 2 is shown when the machine production capacity at website S2 increases separately 5%, 10% and 15% to machine at website S1 The influence of device N1 necessarily also requires the production capacity at website S1 equally to increase simultaneously it can be appreciated that the production capacity at website S2 increases.
Table 2
As shown in table 2, it can be seen that when production capacity only increases by 5%, the production capacity or number of machines that S1 can release are dTR1= Production capacity incrementss (%) × R_TR1, in this case, it is 0.05, as previously described and shown in table 2, by the machine N1 at S1 website from production It is 0.05 that product A, which is converted to equivalent number of machines required for product B, therefore may actually be the effective machine number for being released to product B It is zero.Therefore it says, the production capacity on S2, which improves 5% couple of S1, does not have any influence, and production capacity waste number is similarly 0.4.
When the production capacity on S2 increases by 10%, the production capacity that S1 can release is 0.1, can actually convert to put at this time and give product B Effective machine production capacity be 0.1-0.05=0.05.Even being 0.1 to the capacity requirements of product B at website S1 as previously described, Since the effective capacity release that the production capacity on S2 improves 10% couple of S1 is limited, only 0.05, it cannot equally be used to be transformed into production The production of product B, therefore its production capacity waste number is similarly 0.4.But if the production capacity burst size 0.05 meets the production capacity of other products It is required that then production capacity waste at this time can be reduced to 0.35 (as shown in table 2), details are not described herein.
When the production capacity on S2 increases by 15%, the production capacity that S1 can release is 0.15, can actually be released to product B's at this time Effective capacity is 0.15-0.05=0.1.Therefore, as previously mentioned, if being 0.1 to the capacity requirements of product B at website B1, Production capacity on S2, which improves the effective capacity that 15% discharges S1, can be used for being transformed into the production of product B, and its production capacity at this time Wasting number is 0.3.Therefore machine utilization rate is improved.
(2) to the influence of website S2
The influence when production capacity that following table 3 shows at website S2 increases separately 5%, 10% and 15% to S2.
Table 3
As shown in table 3, it is the production for realizing product A, has by actually required at the website S2 of the AOF calculation of standard Imitating number of machines is only 4.6, but the number of machines actually used is 5.When production capacity only increases by 5%, idle machines number becomes at S2 DTR2=R_TR2-A_TR2 × (1-5%)=5-4.6 × 0.95=0.63, i.e., at this time can be by machine at S2 website 63% production capacity is deployed to other products such as product B or C use, but there is still a need for the lifes that complete 5 machines are used for product A at this time It produces, because while production capacity improves, number of machines still actually required is 4.37.
In order to the machine production capacity for assessing discharged whether can be used for being transformed into products C (products C can it is identical as product B or It is different), in this example, the number of machines 0.63 after conversion is converted to idle number of days T_Free, T_Free within the production cycle =dTR2 ÷ R_TR2 × CT.In the case where production capacity increases by 5%, 5 × 7=0.88 of T_Free=0.63 ÷.It is as shown in the table, false If it is 0.17 day that a machine at website S2, which is converted to the time used in products C, since there is multiple at website S2 Therefore machine M1-M5 as an example, considers the situation of two machines of conversion here, that is, converts two machines to be spent Conversion time be 0.17 × 2=0.34 days.It therefore, can be by totally 0.54 day (0.88-0.34=of two machines at website S2 0.54 day) be converted to production products C.It can according to actual needs or ring note that converting how many a machines actually when implementing conversion Depending on border, because converting machine needs corresponding personnel's operation, human cost will increase, this is also to consider converting machine The factor to be considered when quantity.
Equally, when production capacity increases by 10%, the place S2 it is idle and it is adjustable walk number of machines become 0.86, that is, at this time can be with 86% production capacity of a machine at S2 website is deployed to products C to use, similar with front situation, there is still a need for offers in practice 5 machines are used for the production of product A.At this point, the number of machines 0.86 after conversion is converted into the idle number of days within the production cycle, That is 0.86 5 × 7=1.20 of ÷.It is as shown in the table, here it is also contemplated that the situation of two machines of conversion, that is, convert two machines and wanted The conversion time of cost is 0.34 day, is converted to production product within machine total 1.20-0.34=0.86 days for two at website S2 C.Accordingly, the implementable corresponding switching strategy of staff at website S2.
When production capacity increases by 15%, the place S2 it is idle and it is adjustable walk number of machines become 1.09.It means that working as website S2 When the production capacity at place improves 15%, it is only necessary to which 3.91 machines can complete the production task of product A, therefore, provide as production Source optimization strategy can remove next machine on the production line of production product A, only keep 4 machines to avoid machine waste Can complete task, then 9% production capacity for only having machine at this time is idle and adjustable dispensing other products such as products C, i.e., this The resource release request dTR2=0.09 of Shi Youhua.It is similar with front, 9% production capacity is converted to the idle day within the production cycle Number, i.e. 0.09 4 × 7=0.16 of ÷.It is as shown in the table, converts a machine here to produce the products C conversion time to be spent It is 0.17 day, even idle number of days remaining after converting a machine at website S2 at this time is 0.16-0.17=-0.01 It.Obviously, nonsensical, the number of days to leave unused still not enough completion machine conversion is at this moment converted, therefore is not necessarily to be converted, But a machine can be removed by clearly having been firmly believed using the solution of the present invention technology, therefore still save resource.
In above example, given when being transformed into product B, C respectively respectively with the machine M1-M5 at machine N1 and S2 at website S1 With explanation, it can be appreciated that producing another identical product if two websites are transformed into simultaneously, it is necessary to determine whether The resource discharged at each website is able to satisfy the minimum requirements of conversion, and while only meeting can just be converted.
It is to illustrate release production capacity so that the extension of production cycle and production capacity improve as an example in the embodiment of above example Resources of production and the scheme of distribution.It can be appreciated that for other situations, such as production capacity decline, at this point, to meet scheduled production Task, it is necessary to increase resources of production such as number of machines at each website, therefore machine quantity can be increased by predetermined way, this It is not emphasis of the invention.
In addition, in above example be illustrated so that only one machine at website S1 can meet product A as an example, It can be appreciated that the situation for needing multiple machines, can be used same calculation, which is not described herein again.
Fig. 2 shows the moneys in website S1 realized by production management system according to a preferred embodiment of the present invention Source appraisal procedure flow chart, the production management system can be used for deploying the resource on production line.
As shown in Fig. 2, management system receives the production on production line between website S1-S2 from user in step 201 The change of element, such as extend the number of days of production cycle.
In step 202, management system calculate the change due to production factors and bring website S1 at required for produce The variation of resource, in this example, management system are determined in the place website S1 idle machines production capacity.In this step, work as production When period increases, determine since the production cycle increases releasable machine consumption dTR1, wherein dTR1=dT ÷ CT × R_TR1, Wherein CT indicates the production cycle, and dT indicates the variable quantity of production cycle, and R_TR1 indicates that the current actual machine of website S1 is used Amount.
In step 203, management system based on the machine N1 at pre-determined website S1 convertible service product class Type is converted the required standard handovers time, which is converted to and is disappeared to the equivalent machine production capacity of machine N1 Consumption requires bTR1, or the product type based on the convertible service of institute, and directly extracts corresponding machine from database and convert Consumption requires bTR1.
Then, in step 204, management system is determined due to production factors change and the production capacity dTR1 of idle machines N1 is It is no to can be used for servicing corresponding product.For example, in this step, comparing the machine consumption dTR1 of release and being transformed into other products When occupied equivalent machine consumption bTR1, wherein being deployed when difference of the dTR1 greater than bTR or dTR1 and bTR1 is greater than a threshold value The dTR1 machine (i.e. the production capacity dTR1 of machine N1) is used for other products B, otherwise abandons deploying, and wherein the threshold value indicates institute State the minimum production capacity of machine N 1 or number of machines required for product B.As being used for production interchange, then management system shows convertible Number of machines or production capacity, so that user institute Configuration Online resources of production are converted.
Further, this method can also include step 205.Management system further can also show production capacity wave to user Take situation.Wherein when dTR1 is greater than or equal to bTR 1, the wasting of resources situation by allotment is calculated and be shown in management system, That is R_TR1-A_TR1- (dTR1-bTR1);Otherwise the original wasting of resources is shown, because idle resource does not obtain into one at this time Step utilizes.Further, which can also show the occupied manpower when deploying the dTR1 machine for other products Resource HR=T_CONVERT × HC, wherein HC indicates unit time occupied number when converting machine.
Fig. 3 shows the resource allocation when the production capacity optimization on production line at another website S2 to website S1, S2 It influences.As shown in figure 3, after management system receives the production capacity lifting capacity at website S2, step 302-304 is retouched in step 301 The process executed for website S1 is stated, and the description of step 302 ' -304 ' is for the process of website S2 execution.
In step 302, since website S2 is the bottleneck on production line, production capacity promotion must lead to website S1 production capacity It is same to be promoted, thereby determine that the releasable production capacity dTR1 at website S1.Then in step 303, management system is extracted website The production capacity of S1 is released to machine conversion time when product B.For convenient for comparing, which is transformed by management system The machine production capacity bTR1 of equivalent website S1.Management system compares the production capacity bTR1 of releasable production capacity dTR1 and transformer equivalent. When the difference that releasable production capacity dTR1 is greater than the equivalent production capacity bTR1 or dTR1 and bTR1 of conversion is greater than a threshold value, then instruction can The machine production capacity of website S1 is released to product B, otherwise the production capacity promotion at output instruction S2 does not influence website S1.It is aobvious So, releasable production capacity dTR1 can also be converted to releasable machine time here, and carried out pair with machine conversion time Than to determine whether that the production for product B is converted.
And for website S2, in step 302 ', it determines since production capacity increases releasable machine consumption at the website S2 DTR2, wherein dTR2=R_TR2-A_TR2 × (1- Δ), wherein Δ indicates the percentage that production capacity is promoted.In step 303 ', management The machine consumption dTR2 of release is converted into the equivalent standby time T_Free of machine by system, then in step 304 ', compare this The equivalent standby time of release and machine conversion time T_Convert occupied when machine is transformed into products C, wherein when this When the equivalent standby time of release is greater than machine conversion time, management system can prompt the machine resources of user site S2 convertible To products C and its machine number of days or production capacity of conversion, otherwise indicate that no available resource is released to products C.
In another example, after determining releasable machine consumption dTR2 at website S2, management system can also be with Machine standard handovers time T_Convert is transformed into equivalent machine resources occupancy bTR2, and the machine for comparing release is used Amount and is transformed into occupied equivalent machine consumption bTR2 when other products at dTR2, wherein when dTR2 be greater than bTR2 or dTR2 with When the difference of bTR2 is greater than a threshold value, the dTR2 machine is deployed for the other products, is otherwise abandoned to the second station The resource allocation of point.
It, can be in the production management system as described above, method of the invention can be realized by production management system Execute any one or more in techniques described herein (for example, method).In alternative embodiments, production management system Individual equipment be can be used as to be operated, or can connect (such as networking) to other machines.Production management system can To be computer system, server or (sequentially or in other ways) movement for providing to be executed by the machine can be executed Any system of instruction.The production management system can be by executing the program being stored in local storage or remote memory Or instruction is to realize method described herein.In one example, production management system or in which one or more hardware at At least part in reason device can be configured to operation by firmware or software (for example, instruction, application obscure portions or application) to execute The module of specified operation.In one example, software can be located at least one machine readable media.In at least one machine Any one or more embodied in techniques described herein or function or the finger being used by it can be stored on device readable medium Enable (for example, software).Here " module " is understood to include tangible entity, be physical build-up, it is specifically configured (for example, Rigid line connection) or (for example, the programming) of interim (for example, temporarily) configuration to be operated with specific mode, or hold At least part of entity of row any operation described herein.For example, module include configured using software it is general In the case where hardware processor, which can be configured to each different module in different moments.Software Hardware processor can be correspondingly configured, for example, to constitute specific module a moment, and in another difference It carves and constitutes different modules.
Detailed description above includes the reference to attached drawing, attached drawing shown by way of explanation can be implemented it is specific Embodiment.In a specific embodiment of the above, each feature can be concentrated in together to simplify present disclosure.This Outside, compared with those features disclosed in particular example, some other embodiments of the invention may include less feature.Cause This, the equivalent item that the range of presently disclosed embodiment should be assigned referring to appended claims together with these claims Full breadth determine.

Claims (10)

1. a kind of method that allotment resources of production use, wherein the resources of production include that serving at the first website is worked as The machine of preceding product, this method include:
(A) change of the factor of production on the production line is received,
(B) calculate due to the factor of production change caused by the resources of production changes in demand,
(C) assess whether the resources of production changes in demand meets at least part for discharging the resources of production to serve it The minimum requirements of its product.
2. method as claimed in claim 1, wherein the factor of production includes the production cycle,
The step (B) includes the variation of the dosage of the machine caused by calculating the change due to the production cycle,
The step (C) include the variation of the machine consumption is assessed whether to meet the minimum requirements of the other products, wherein The minimum requirements includes that the part machine consumption of first website is converted into the time required for serving other products T_Convert1。
3. method as claimed in claim 2, wherein
The step B further comprises:When extending the production cycle, determines and used since the production cycle extends the releasable machine of institute DTR1 is measured, wherein dTR1=dT ÷ CT × R_TR1, wherein the CT expression production cycle, the extension amount of dT expression production cycle, and R_ TR1 indicates that the first website serves the actual machine number of current production;
The step C further comprises:It is occupied equivalent when comparing the machine consumption dTR1 of release and being transformed into other products Machine consumption bTR1, wherein deploy the dTR1 machine when the difference of dTR1 and bTR1 is greater than a threshold value and be used for other products, Otherwise it abandons deploying.
4. further comprising such as the method for one of claim 1-3:
When dTR1 is greater than or equal to bTR1, the production capacity at the first website is calculated by following formula and is wasted:R_TR1-A_TR1- (dTR1-bTR1);
The resources of production further include human resources, wherein occupied when deploying the dTR1 machine and being used for other products Human resources HR=T_Convert1 × HC1, wherein HC1 indicates the unit time occupied number of converting machine.
5. method as claimed in claim 1, wherein the resources of production include relevant to the first website being in the production line located at the Multiple machines at two websites, and the factor of production includes the production capacity at the second website;
The method further includes:
When production capacity at second website changes,
(B1) machine consumption caused by the change due to the machine production capacity at the second website at first website is calculated Variation, and (C1) assess machine consumption at first website variation whether meet at the first website of change machine service its The minimum requirements of its product;And
(B2) variation of the machine consumption caused by the change due to the production capacity at the second website at second website is calculated, And (C2) assesses whether machine consumption variation at second website meets at the second website of change machine service in other productions The minimum requirements of product.
6. method as claimed in claim 5, wherein
The step B1 further comprises:When production capacity at second website increases, determine since production capacity increases described the Releasable machine consumption dTR1 at one website, wherein dTR1=Δ × R_TR1, wherein Δ indicates the percentage that production capacity is promoted;
The step C1 includes:Compare the machine consumption dTR1 of release and be transformed into occupied equivalent machine when other products and uses BTR1 is measured, wherein deploying the dTR1 machine when dTR1 is greater than bTR1 for other products, otherwise abandoning to described first The resource allocation of website.
7. method as claimed in claim 5, wherein
The step B2 further comprises:When production capacity at second website increases, determine since production capacity increases described the Releasable machine consumption dTR2 at two websites, wherein dTR2=R_TR2-A_TR2 × (1- Δ), wherein Δ indicates that production capacity is promoted Percentage, R_TR2 indicates to serve the actual machine quantity of the current production at the second website, and A_TR2 indicates second The standard machine quantity of the current production is served at website;
The step C2 includes:Compare the machine consumption dTR2 of release and be transformed into occupied equivalent machine when other products and uses BTR2 is measured, wherein deploying the dTR2 machine when dTR2 is greater than bTR2 for the other products, otherwise abandoning to described The resource allocation of second website.
8. method as claimed in claim 7, further comprises:
When dTR2 is greater than or equal to bTR2, the production capacity at the second website is calculated by following formula and is wasted:R_TR2-A_TR2- (dTR2-bTR2);
The resources of production further include human resources, wherein occupied when deploying the dTR2 machine and being used for other products Human resources HR=T_Convert2 × HC2, wherein HC2 indicates that converting machine was served occupied by the unit time of other products Number.
9. a kind of computing system, including:
Memory is stored with instruction,
Processor, the method that perform claim requires 1-8
10. a kind of storage medium is stored with instruction, which makes processor perform claim require 1-8 when executed by the processor One of method.
CN201810662801.2A 2018-06-25 2018-06-25 Deploy the method and its management system of resources of production Active CN108876157B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810662801.2A CN108876157B (en) 2018-06-25 2018-06-25 Deploy the method and its management system of resources of production

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810662801.2A CN108876157B (en) 2018-06-25 2018-06-25 Deploy the method and its management system of resources of production

Publications (2)

Publication Number Publication Date
CN108876157A true CN108876157A (en) 2018-11-23
CN108876157B CN108876157B (en) 2019-09-06

Family

ID=64294576

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810662801.2A Active CN108876157B (en) 2018-06-25 2018-06-25 Deploy the method and its management system of resources of production

Country Status (1)

Country Link
CN (1) CN108876157B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113379336A (en) * 2021-08-12 2021-09-10 宝信软件(南京)有限公司 Intelligent manufacturing execution process data processing system and method based on MES system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW540205B (en) * 2001-02-27 2003-07-01 Ind Tech Res Inst Real-time scheduling mechanism capable of controlling quality of service
CN101169741A (en) * 2006-10-25 2008-04-30 国际商业机器公司 Method and system for determining scheduling priority of operation
WO2012126105A1 (en) * 2011-03-21 2012-09-27 Hegazi Tarek Mohamed Mohamed System and method for schedule optimization
CN104463394A (en) * 2013-09-18 2015-03-25 Sap欧洲公司 Production resource management
CN106779486A (en) * 2017-01-16 2017-05-31 武汉科技大学 Steel-making continuous casting readjustment degree system and method based on strong disturbance
CN107301488A (en) * 2016-04-14 2017-10-27 波音公司 Producer goods supply chain interrupt management system and the method for production
CN107784440A (en) * 2017-10-23 2018-03-09 国网辽宁省电力有限公司 A kind of power information system resource allocation system and method

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW540205B (en) * 2001-02-27 2003-07-01 Ind Tech Res Inst Real-time scheduling mechanism capable of controlling quality of service
CN101169741A (en) * 2006-10-25 2008-04-30 国际商业机器公司 Method and system for determining scheduling priority of operation
WO2012126105A1 (en) * 2011-03-21 2012-09-27 Hegazi Tarek Mohamed Mohamed System and method for schedule optimization
CN103649974A (en) * 2011-03-21 2014-03-19 塔雷科·莫哈梅德·莫哈梅德·赫加兹 System and method for schedule optimization
CN104463394A (en) * 2013-09-18 2015-03-25 Sap欧洲公司 Production resource management
CN107301488A (en) * 2016-04-14 2017-10-27 波音公司 Producer goods supply chain interrupt management system and the method for production
CN106779486A (en) * 2017-01-16 2017-05-31 武汉科技大学 Steel-making continuous casting readjustment degree system and method based on strong disturbance
CN107784440A (en) * 2017-10-23 2018-03-09 国网辽宁省电力有限公司 A kind of power information system resource allocation system and method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113379336A (en) * 2021-08-12 2021-09-10 宝信软件(南京)有限公司 Intelligent manufacturing execution process data processing system and method based on MES system

Also Published As

Publication number Publication date
CN108876157B (en) 2019-09-06

Similar Documents

Publication Publication Date Title
CN104166903B (en) Mission planning method and system based on process division
CN111708627B (en) Task scheduling method and device based on distributed scheduling framework
CN108053047A (en) Cloud resources of production scheduling methods, devices and systems
CN106790332A (en) A kind of resource regulating method, system and host node
CN106919449A (en) The dispatch control method and electronic equipment of a kind of calculating task
CN104731657A (en) Resource scheduling method and system
El Mouayni et al. Jobs scheduling within Industry 4.0 with consideration of worker’s fatigue and reliability using Greedy Randomized Adaptive Search Procedure
CN106709628A (en) Production scheduling method and production scheduling system
CN114511251B (en) Order arranging method, process parameter requesting method and related equipment
Rebai et al. Scheduling jobs and maintenance activities on parallel machines
CN109934708A (en) A kind of more policy-simulative method of commerce in local and system and device
CN108876157B (en) Deploy the method and its management system of resources of production
CN110503323A (en) The monitoring method and device and equipment of a kind of pull type SC task
CN110570158A (en) power grid standing book electronic transfer method and system and computer readable storage medium
JP4909869B2 (en) Material assignment system
CN103677996B (en) Collaboration method and system for balancing workload distribution
CN104933110B (en) A kind of data prefetching method based on MapReduce
CN104915250B (en) It is a kind of to realize the method for making MapReduce data localization in the industry
CN114418418B (en) Work order information circulation method, system, equipment and medium based on process conversion ratio
CN109144709A (en) A kind of unbalanced method of processing big data platform YARN data distribution
Huang et al. Distributed supply‐chain project rescheduling: Part I—impacts of information‐sharing strategies
TWI663557B (en) Manufacture schedule variation minimizing system
CN102521029A (en) Job scheduling method based on exclusive memory
CN110009253A (en) A kind of production scheduling method, apparatus, equipment and the storage medium of ship
Gatica et al. Capacity planning under clinical trials uncertainty for the pharmaceutical industry

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant