CN112734222A - Factory order production scheduling self-adaptive method, equipment and storage medium - Google Patents
Factory order production scheduling self-adaptive method, equipment and storage medium Download PDFInfo
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- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
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Abstract
The application discloses a factory order production scheduling self-adaptive method, equipment and a storage medium, wherein the method comprises the following steps: combining the production contract of the month and the short amount contract of the last month according to the delivery date rule; according to the contract disaggregation and contract rule, performing the contract disaggregation and contract matching operation to form a first contract list; calculating and recording delivery date corresponding to each contract in the first contract list; if the delivery date difference is positive, selecting a production operation rule, and carrying out weekly operation planning arrangement on the first contract list according to the production operation rule to form a second contract list; calculating and recording delivery date corresponding to each contract in the second contract list; if the delivery date difference is a positive value, carrying out solution space optimization solution according to an optimization objective function; and when the optimization target is reached, recommending the optimal contract list as a contract production schedule. The method divides the production process of connecting each production subunit into series and series, standardizes the production organization rule, optimizes the target timeliness, and can achieve the aim of self-adaptive adjustment of the production plan.
Description
Technical Field
The present invention relates to the field of order scheduling, and in particular, to a factory order production scheduling adaptive method, device and storage medium.
Background
At present, contract order scheduling is a constantly researched problem, cost reduction and efficiency improvement become pain points which cannot be avoided by some reform of enterprise capital, and the contract-based order scheduling of large-scale production enterprises, especially energy type enterprises, becomes one of entry points for reducing cost.
Due to the variability of market demands, production and manufacturing plans in various fields are required to be adjusted at any time, and due to the limitation of cost factors such as time, energy, manpower, equipment and the like, manual production scheduling cannot be met.
Therefore, the technical problem to be solved by the technical staff in the field is how to solve the cost problems of variable quantity and variety of orders generated in the market, high difficulty and intensity of manual production planning, low planning performance rate, short supply of production in front and back factories and mines, resource waste and the like.
Disclosure of Invention
In view of the above, the present invention provides a factory order production schedule adaptive method, device and storage medium, which can achieve the purpose of adaptive adjustment of production plans and have strong adaptability. The specific scheme is as follows:
a factory order production schedule adaptive method comprises the following steps:
selecting a delivery date rule, and combining a production contract to be produced in the current month and a previous month shortage contract according to the delivery date rule;
according to the contract disaggregation and contract rule, performing the contract disaggregation and contract matching operation to form a first contract list;
calling a subunit delivery date calculation algorithm, and calculating and recording delivery dates corresponding to the contracts in the first contract list;
if all the contract delivery date differences in the first contract list are positive values, selecting a production operation rule, and performing weekly operation planning arrangement on the first contract list according to the production operation rule to form a second contract list;
calling a subunit delivery date calculation algorithm, and calculating and recording delivery dates corresponding to the contracts in the second contract list;
if all the contract delivery date differences in the second contract list are positive values, developing solution space optimization solution according to an optimization objective function, and setting an optimization penalty item;
and when the optimization target is reached, recommending the optimal contract list as a contract production schedule.
Preferably, in the adaptive method for factory order production scheduling provided by the embodiment of the present invention, the method further includes:
if the delivery date differences of all the contracts in the first contract list are not positive values, judging whether the number of times of ticket splitting and the number of times of closing exceeds a corresponding first set number of times;
if the number of the order splitting and the order combining times does not exceed the first set number of times, the order splitting and the order combining operation are carried out again;
if the number of times of the order splitting and the order combining exceeds the first set number of times, judging whether the number of times of selecting the delivery date rule exceeds a corresponding second set number of times;
if the delivery date rule selection times do not exceed the second set times, the delivery date planning selection is carried out again; and if the delivery date rule selection times exceed the second set times, recommending the traversed contract list with the minimum delivery date difference absolute average in the first contract list as a contract production schedule.
Preferably, in the adaptive method for factory order production scheduling provided by the embodiment of the present invention, the method further includes:
if the delivery date differences of all the contracts in the second contract list are not positive values, judging whether the selection times of the production operation rules exceed the corresponding third set times;
if the selection times of the production operation rules do not exceed the third set times, the production operation rules are selected again;
and if the selection times of the production operation rules exceed the third set times, judging whether the number of the order splitting and the order combining times exceeds the first set times, and performing the order splitting and the order combining operation again.
Preferably, in the adaptive method for factory order production scheduling provided by the embodiment of the present invention, the method further includes:
and when the optimization target is not reached, selecting the production operation rule again.
Preferably, in the adaptive method for factory order production scheduling provided by the embodiment of the present invention, the subunit delivery date calculation algorithm includes:
calculating actual production capacity by adopting a first formula; the first formula is:
P＝P0-(P1-f(alpha*t))
wherein P is the actual production amount, P0For planning the production yield, P1For the current inventory, alpha is the inventory consumption rate, t is the production time, and f is a function of t versus inventory consumption.
Preferably, in the adaptive method for factory order production scheduling provided in the embodiment of the present invention, the subunit delivery date calculating algorithm further includes:
calculating the yield per unit time by adopting a second formula; the second formula is:
v ═ MAX { V process 1.. process n }, V ∈ [ VL, VH ]
Where V is the production per unit time, and VL and VH are the upper and lower limits of production per unit time as analyzed from historical data.
Preferably, in the adaptive method for factory order production scheduling provided in the embodiment of the present invention, the subunit delivery date calculating algorithm further includes:
calculating the actual production time by adopting a third formula; the third formula is:
T＝P/V+T1+T2+T3
wherein T is the actual production time length, T1Down time for normal inspection required for production of products, T2Required downtime for switching products, T3The waiting time is the waiting time.
Preferably, in the adaptive method for factory order production scheduling provided in the embodiment of the present invention, the subunit delivery date calculating algorithm further includes:
calculating the single planned production time by adopting a fourth formula; the fourth formula is:
T_all＝Σ(T)
wherein T _ all is the production time of the single-child plan;
calculating the delivery date difference of the bills by adopting a fifth formula; the fifth formula is:
△＝Te-(T_all-Ts)
where Δ is the delivery date difference, Te is the expected delivery time, and Ts is the time elapsed in the month when the contract was made.
The embodiment of the present invention further provides a factory order production schedule adaptive device, which includes a processor and a memory, wherein when the processor executes a computer program stored in the memory, the factory order production schedule adaptive device implements the factory order production schedule adaptive method provided by the embodiment of the present invention.
The embodiment of the present invention further provides a computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the factory order production schedule adaptive method provided by the embodiment of the present invention.
It can be seen from the above technical solutions that, the factory order production schedule adaptive method provided by the present invention includes: selecting a delivery date rule, and combining the production contract to be produced in the current month and the previous month shortage contract according to the delivery date rule; according to the contract disaggregation and contract rule, performing the contract disaggregation and contract matching operation to form a first contract list; calling a subunit delivery date calculation algorithm, and calculating and recording delivery dates corresponding to the contracts in the first contract list; if all the contract delivery date differences in the first contract list are positive values, selecting a production operation rule, and carrying out weekly operation planning arrangement on the first contract list according to the production operation rule to form a second contract list; calling a subunit delivery date calculation algorithm, and calculating and recording delivery dates corresponding to the contracts in the second contract list; if all the contract delivery date differences in the second contract list are positive values, developing solution space optimization solution according to the optimization objective function, and setting optimization punishment items; and when the optimization target is reached, recommending the optimal contract list as a contract production schedule.
According to the self-adaptive method for the production schedule of the factory orders, the production organization rules are standardized, the optimization target is time-based, the purpose of self-adaptive adjustment of the production plan can be achieved, the adaptability is strong, the cost problems that the number and the types of the orders generated in the market are variable, the intensity of the difficulty of manual production plan arrangement is high, the plan performance rate is low, the supply of the front and back factory and mine production is short, the resource is wasted and the like are solved, and the method can be applied to the development project of the intelligent production scheduling system of the large steel mill. In addition, the invention also provides corresponding equipment and a computer readable storage medium aiming at the factory order production scheduling self-adaptive method, so that the method has higher practicability, and the equipment and the computer readable storage medium have corresponding advantages.
Drawings
In order to more clearly illustrate the embodiments of the present invention or technical solutions in related arts, the drawings used in the description of the embodiments or related arts will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a factory order production schedule adaptation method according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for adaptive factory order production scheduling according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a factory order production schedule self-adaptive method, as shown in FIG. 1, comprising the following steps:
s101, selecting a delivery date rule, and combining a production contract to be produced in the current month and a previous month shortage contract according to the delivery date rule;
in practical application, the delivery date rule selection times (hereinafter referred to as second set times) are set, and then the contract to be produced in the current month and the previous month shortage amount contract are combined into a new contract list according to the delivery date rule; the delivery date rules can be rule sets of more important customer contracts which are arranged forward and more difficultly produced contracts which are arranged backward, and the like, and in order to ensure optimization convergence, a plurality of the rules are selected in each traversal and are used as the basis for defining a contract list;
s102, performing order splitting and order combining operation on the contracts according to a contract splitting and order combining rule to form a first contract list;
in practical application, the number of times of folding orders (hereinafter referred to as the first set number) is set firstly, then the folding and folding operations are performed on the contracts according to the contract folding and folding rule to form a new contract list, for example, on the premise of ensuring that each contract can finish delivery on time or in advance, the contracts with similar production specifications or varieties are firstly folded, and the differentiated contracts are not operated firstly;
s103, calling a subunit delivery date calculation algorithm, and calculating and recording delivery dates corresponding to the contracts in the first contract list;
s104, if all the contract delivery date differences in the first contract list are positive values, selecting a production operation rule, and performing weekly operation planning arrangement on the first contract list according to the production operation rule to form a second contract list;
it should be noted that, when step S104 is executed, it is first determined whether all the delivery date differences of the contracts in the contract list are positive values, that is, whether the production is completed in advance according to the delivery date, then if the delivery date is positive values, the number of times of selecting the production operation rules (that is, the third set number of times hereinafter) is set, the production operation rules are selected, and the weekly operation planning is performed on the contract list again according to the production operation rules;
s105, calling a subunit delivery date calculation algorithm, and calculating and recording delivery dates corresponding to the contracts in the second contract list;
s106, if all the delivery date differences of the contracts in the second contract list are positive values, carrying out solution space optimization solution according to an optimization objective function, and setting an optimization penalty item;
it should be noted that, when step S106 is executed, it is first determined whether all the delivery date differences of the contracts in the contract list are positive values, that is, whether the production is completed in advance according to the delivery date, then if all the delivery date differences of the contracts in the contract list are positive values, the solution space optimization solution is carried out according to the optimization objective function, as shown in fig. 2, the optimization objective function may be the shortest total production time (efficiency, energy consumption), the lowest equipment failure rate, the lowest product quality, the lowest labor intensity, and the objective function may be selected in combination, and meanwhile, an optimization penalty term is set, and the penalty coefficient may be found by optimization; it should be noted that the solution space optimization solution refers to the actual production time T of the product and the downtime T of the normal inspection required for the production of the product1The down time T required for switching products2Waiting time T3The expected delivery time Te, the consumed time Ts in the month when the contract is produced and the like, wherein the upper limit and the lower limit of the parameter interval can be given by field experience or historical data analysis;
and S107, recommending the optimal contract list as a contract production schedule when the optimal goal is reached.
In the adaptive method for the production schedule of the factory orders provided by the embodiment of the invention, the production process of connecting each production subunit is divided into series, the production organization rule is standardized, the optimization target is time-based, the purpose of adaptive adjustment of the production plan can be achieved, the adaptability is strong, the problems of variable quantity and variety of orders generated in the market, high intensity of difficulty in scheduling the artificial production plan, low plan performance rate, short supply of front and rear factory and mine production, resource waste and the like are solved, and the method can be applied to the development project of the intelligent scheduling system of a large steel mill.
Further, in a specific implementation, in the adaptive method for factory order production scheduling provided by the embodiment of the present invention, while performing step S104, as shown in fig. 2, the method may further include the following steps:
if the delivery date differences of all the contracts in the first contract list are not positive values, whether the number of times of ticket splitting and the number of times of closing exceeds the corresponding first set times is judged; if the number of the order splitting and the order combining does not exceed the first set number of times, the order splitting and the order combining are carried out again; if the number of times of the order splitting and the order combining exceeds the first set number of times, judging whether the number of times of selecting the delivery date rule exceeds the corresponding second set number of times; if the delivery date rule selection times do not exceed the second set times, the delivery date planning selection is carried out again; and if the delivery date rule selection times exceed the second set times, recommending the contract list with the minimum delivery date difference absolute average in the traversed first contract list as a contract production schedule.
Specifically, when step S104 is executed, it is first determined whether all the delivery date differences of the contracts in the contract list are positive values, that is, whether the production is completed in advance according to the delivery date, then if there is a contract that does not satisfy the condition and the number of times of the converted order is not exceeded, the converted order is executed again, that is, steps S102, S103, and S104 are repeatedly executed, if the number of times is exceeded, it is determined whether the number of times of delivery date rule selection is exceeded, if the number of times is not exceeded, steps S101, S102, S103, and S104 are executed again, and if the number of times of delivery date selection is exceeded, the contract list with the smallest absolute average delivery date difference in the traversed contract list is recommended as the contract production schedule.
In a specific implementation, in the adaptive method for factory order production scheduling provided by the embodiment of the present invention, while the step S106 is executed, as shown in fig. 2, the method may further include the following steps:
if the delivery date differences of all the contracts in the second contract list are not positive values, judging whether the selection times of the production operation rules exceed the corresponding third set times; if the selection times of the production operation rules do not exceed the third set times, the production operation rules are selected again; and if the selection times of the production operation rules exceed the third set times, judging whether the number of the order splitting and the order combining times exceeds the first set times, and performing the order splitting and the order combining operation again.
Specifically, when step S106 is executed, it is first determined whether all the delivery date differences of the contracts in the contract list are positive values, that is, whether the production is completed in advance according to the delivery date, and then if the contract does not satisfy the condition and the number of times of selecting the operation rule is not exceeded, the operation rule selection is performed again, that is, steps S104, S105, and S106 are repeatedly executed, and if the number of times of selecting the operation rule is exceeded and the number of times of selecting the folding list is not exceeded, step S102 is returned to, and the folding rule selection is performed, that is, steps S102, S103, S104, S105, and S106 are repeatedly executed.
In a specific implementation, in the adaptive method for factory order production scheduling according to the embodiment of the present invention, while executing step S107, as shown in fig. 2, the method may further include: and when the optimization target is not reached, selecting the production operation rule again.
Specifically, it is first determined whether the optimization goal is reached, and then if the optimization goal is not reached, steps S104, S105, S106, and S107 are repeatedly executed.
Further, in an implementation manner, in the adaptive method for factory order production scheduling provided by the embodiment of the present invention, in step S103 and step S105, the subunit delivery date calculation algorithm may include:
calculating actual production capacity by adopting a first formula; the first formula is:
P＝P0-(P1-f(alpha*t))
wherein P is the actual production amount, P is0For planning the production yield, P1For the current inventory, alpha is the inventory consumption rate, t is the production time, f is a function of t versus inventory consumption, which is piledThe stack rule influence can be obtained by fitting historical data.
Calculating the yield per unit time by adopting a second formula; the second formula is:
v ═ MAX { V process 1.. process n }, V ∈ [ VL, VH ]
Where V is the production per unit time, and VL and VH are the upper and lower limits of production per unit time as analyzed from historical data.
Calculating the actual production time by adopting a third formula; the third formula is:
T＝P/V+T1+T2+T3
wherein T is the actual production time length, T1The down time required for the proper inspection of the product production is a function of the equipment failure and product quality, T2The downtime required for switching products is a function of the resource preparation, T3The waiting time is influenced by the feeding rule of the previous production unit and the production state of all the previous production units.
Calculating the single planned production time by adopting a fourth formula; the fourth formula is:
T_all＝Σ(T)
wherein, T _ all is the production time of the single-child plan (namely the contract production time);
calculating the delivery date difference of the bills by adopting a fifth formula; the fifth formula is:
△＝Te-(T_all-Ts)
where Δ is the delivery date difference, Te is the expected delivery date, and Ts is the time elapsed in the month when the contract was made.
In practical application, when monthly including weekly production schedules are required, the algorithm is triggered to perform production schedule optimization.
Correspondingly, the embodiment of the invention also discloses self-adaptive equipment for the production schedule of the factory order, which comprises a processor and a memory; the processor implements the adaptive method for factory order production scheduling disclosed in the foregoing embodiments when executing the computer program stored in the memory.
For more specific processes of the above method, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
Further, the present invention also discloses a computer readable storage medium for storing a computer program; the computer program, when executed by a processor, implements the method for adaptive factory order production scheduling disclosed above.
For more specific processes of the above method, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. As for the equipment and the storage medium disclosed by the embodiment, the description is simple because the equipment and the storage medium correspond to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The embodiment of the invention provides a factory order production scheduling self-adaptive method, which comprises the following steps: selecting a delivery date rule, and combining the production contract to be produced in the current month and the previous month shortage contract according to the delivery date rule; according to the contract disaggregation and contract rule, performing the contract disaggregation and contract matching operation to form a first contract list; calling a subunit delivery date calculation algorithm, and calculating and recording delivery dates corresponding to the contracts in the first contract list; if all the contract delivery date differences in the first contract list are positive values, selecting a production operation rule, and carrying out weekly operation planning arrangement on the first contract list according to the production operation rule to form a second contract list; calling a subunit delivery date calculation algorithm, and calculating and recording delivery dates corresponding to the contracts in the second contract list; if all the contract delivery date differences in the second contract list are positive values, developing solution space optimization solution according to the optimization objective function, and setting optimization punishment items; and when the optimization target is reached, recommending the optimal contract list as a contract production schedule. By the method, the production sub-units are connected in series in the production process, the production organization rules are standardized, the optimization target is time-based, the purpose of adaptive adjustment of the production plan can be achieved, the adaptability is strong, the cost problems that the number and the types of orders generated in the market are variable, the difficulty intensity of manual production plan arrangement is high, the plan performance rate is low, the front and back factory and mine production supply is short, the resource is wasted and the like are solved, and the method can be applied to the development project of the intelligent production scheduling system of the large steel mill. In addition, the invention also provides corresponding equipment and a computer readable storage medium aiming at the factory order production scheduling self-adaptive method, so that the method has higher practicability, and the equipment and the computer readable storage medium have corresponding advantages.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The adaptive method, equipment and storage medium for factory order production scheduling provided by the invention are introduced in detail, and the principle and the implementation mode of the invention are explained by applying specific examples, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A factory order production schedule adaptive method is characterized by comprising the following steps:
selecting a delivery date rule, and combining a production contract to be produced in the current month and a previous month shortage contract according to the delivery date rule;
according to the contract disaggregation and contract rule, performing the contract disaggregation and contract matching operation to form a first contract list;
calling a subunit delivery date calculation algorithm, and calculating and recording delivery dates corresponding to the contracts in the first contract list;
if all the contract delivery date differences in the first contract list are positive values, selecting a production operation rule, and performing weekly operation planning arrangement on the first contract list according to the production operation rule to form a second contract list;
calling a subunit delivery date calculation algorithm, and calculating and recording delivery dates corresponding to the contracts in the second contract list;
if all the contract delivery date differences in the second contract list are positive values, developing solution space optimization solution according to an optimization objective function, and setting an optimization penalty item;
and when the optimization target is reached, recommending the optimal contract list as a contract production schedule.
2. The adaptive method for factory order production scheduling of claim 1, further comprising:
if the delivery date differences of all the contracts in the first contract list are not positive values, judging whether the number of times of ticket splitting and the number of times of closing exceeds a corresponding first set number of times;
if the number of the order splitting and the order combining times does not exceed the first set number of times, the order splitting and the order combining operation are carried out again;
if the number of times of the order splitting and the order combining exceeds the first set number of times, judging whether the number of times of selecting the delivery date rule exceeds a corresponding second set number of times;
if the delivery date rule selection times do not exceed the second set times, the delivery date planning selection is carried out again; and if the delivery date rule selection times exceed the second set times, recommending the traversed contract list with the minimum delivery date difference absolute average in the first contract list as a contract production schedule.
3. The adaptive method for factory order production scheduling of claim 2, further comprising:
if the delivery date differences of all the contracts in the second contract list are not positive values, judging whether the selection times of the production operation rules exceed the corresponding third set times;
if the selection times of the production operation rules do not exceed the third set times, the production operation rules are selected again;
and if the selection times of the production operation rules exceed the third set times, judging whether the number of the order splitting and the order combining times exceeds the first set times, and performing the order splitting and the order combining operation again.
4. The adaptive method for factory order production scheduling of claim 1, further comprising:
and when the optimization target is not reached, selecting the production operation rule again.
5. The adaptive factory order production schedule method of claim 1, wherein said subunit delivery date calculation algorithm comprises:
calculating actual production capacity by adopting a first formula; the first formula is:
P＝P0-(P1-f(alpha*t))
wherein P is the actual production amount, P0For planning the production yield, P1For the current inventory, alpha is the inventory consumption rate, t is the production time, and f is a function of t versus inventory consumption.
6. The adaptive factory order production schedule method of claim 5, wherein said subunit delivery date calculation algorithm further comprises:
calculating the yield per unit time by adopting a second formula; the second formula is:
v ═ MAX { V process 1.. process n }, V ∈ [ VL, VH ]
Where V is the production per unit time, and VL and VH are the upper and lower limits of production per unit time as analyzed from historical data.
7. The adaptive factory order production schedule method of claim 6, wherein said subunit delivery date calculation algorithm further comprises:
calculating the actual production time by adopting a third formula; the third formula is:
T＝P/V+T1+T2+T3
wherein T is the actual production time length, T1Down time for normal inspection required for production of products, T2Required downtime for switching products, T3The waiting time is the waiting time.
8. The adaptive factory order production schedule method of claim 7 wherein said subunit delivery date calculation algorithm further comprises:
calculating the single planned production time by adopting a fourth formula; the fourth formula is:
T_all＝Σ(T)
wherein T _ all is the production time of the single-child plan;
calculating the delivery date difference of the bills by adopting a fifth formula; the fifth formula is:
△＝Te-(T_all-Ts)
where Δ is the delivery date difference, Te is the expected delivery time, and Ts is the time elapsed in the month when the contract was made.
9. A plant order production schedule adaptation apparatus comprising a processor and a memory, wherein the processor implements the plant order production schedule adaptation method according to any one of claims 1 to 8 when executing a computer program stored in the memory.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the adaptive plant order production scheduling method of any one of claims 1 to 8.
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