CN111815148A - Scheduling method, scheduling device, electronic equipment and computer readable storage medium - Google Patents

Scheduling method, scheduling device, electronic equipment and computer readable storage medium Download PDF

Info

Publication number
CN111815148A
CN111815148A CN202010634073.1A CN202010634073A CN111815148A CN 111815148 A CN111815148 A CN 111815148A CN 202010634073 A CN202010634073 A CN 202010634073A CN 111815148 A CN111815148 A CN 111815148A
Authority
CN
China
Prior art keywords
scheduling
production
information
time node
equipment
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
CN202010634073.1A
Other languages
Chinese (zh)
Other versions
CN111815148B (en
Inventor
韩超
庄须欢
辛杰
柳春
朱淼
陈锴
陈天雨
刘岩
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.)
Sinochem Quanzhou Petrochemical Co Ltd
Sinochem Energy High Tech Co Ltd
Original Assignee
Sinochem Quanzhou Petrochemical Co Ltd
Sinochem Energy High Tech Co Ltd
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 Sinochem Quanzhou Petrochemical Co Ltd, Sinochem Energy High Tech Co Ltd filed Critical Sinochem Quanzhou Petrochemical Co Ltd
Priority to CN202010634073.1A priority Critical patent/CN111815148B/en
Publication of CN111815148A publication Critical patent/CN111815148A/en
Application granted granted Critical
Publication of CN111815148B publication Critical patent/CN111815148B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

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
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • 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

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Marketing (AREA)
  • Geometry (AREA)
  • Educational Administration (AREA)
  • Evolutionary Computation (AREA)
  • Game Theory and Decision Science (AREA)
  • Computer Hardware Design (AREA)
  • Development Economics (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • General Factory Administration (AREA)

Abstract

The application provides a scheduling method, a scheduling device, electronic equipment and a computer readable storage medium, which are applied to the technical field of production management, wherein the method comprises the following steps: the scheduling simulation is carried out based on the scheduling event information in the received preset time period and the obtained initial production state information, the target scheduling plan is automatically determined, compared with manual scheduling, the scheduling efficiency can be improved, and the scheduling plan can be timely adjusted even if the scheduling event is adjusted or equipment faults occur, so that the influence on production can be avoided.

Description

Scheduling method, scheduling device, electronic equipment and computer readable storage medium
Technical Field
The present application relates to the field of production management technologies, and in particular, to a method and an apparatus for scheduling production, an electronic device, and a computer-readable storage medium.
Background
The problem of production scheduling is essentially a solution to seek optimal goals through the rational deployment of limited resources. Wherein the limited resources comprise materials, equipment, storage tanks, etc. The target includes the construction period, efficiency, etc. In the optimizing process, a plurality of contradictions often exist between the resources and the targets, so when the problems are solved, under the condition that the encountered schemes cannot provide the only optimal solution, a relatively optimal scheme should be selected from all the schemes to make a scientific production scheduling plan.
At present, the production scheduling of crude oil is determined manually, namely, a scheduling plan is determined manually according to scheduling event information and initial production state information, however, the method for determining the scheduling plan manually has the problem of low efficiency, and particularly, when the scheduling event is adjusted or equipment faults occur, the scheduling plan cannot be adjusted timely, so that production is influenced.
Disclosure of Invention
The application provides a scheduling method, a scheduling device, electronic equipment and a computer-readable storage medium, which are used for improving the scheduling efficiency, and even if scheduling events are adjusted or equipment faults occur, a scheduling plan can be timely adjusted to avoid influencing production. The technical scheme adopted by the application is as follows:
in a first aspect, a method for scheduling production is provided, the method comprising:
receiving scheduling event information in a preset time period, wherein the scheduling event information comprises at least one of crude oil receiving event information, crude oil processing event information, product blending event information and product delivery event information;
acquiring initial production state information, wherein the initial production state information comprises processed crude oil variety information, storage tank state information and equipment production capacity parameters;
and performing scheduling simulation based on scheduling event information, initial production state information, preset storage tank storage rules, equipment production capacity rules and material balance rules, and determining a target scheduling plan.
Optionally, performing a production scheduling simulation based on the production scheduling event information, the initial production state information, and predetermined storage tank storage rules, equipment production capacity rules, and material balance rules, and determining a target production scheduling plan, including:
acquiring a starting time node and an ending time node of each scheduling event;
counting and removing duplication of a starting time node and an ending time node of each scheduling event, supplementing time nodes based on preset scheduling time granularity information, and determining scheduling time nodes;
performing scheduling simulation based on scheduling event information, initial production state information, predetermined storage rules, equipment production capacity rules and material balance rules, and determining production plan information of each scheduling time node;
and determining a target scheduling plan based on the production plan information of each scheduling time node.
Optionally, performing a scheduling simulation based on scheduling event information, initial production state information, predetermined warehousing rules, equipment production capacity rules, and material balance rules, and determining production plan information of each scheduling time node, including:
if the target scheduling time node is the first time node, taking the initial production state information as the initial production state information of the target time node; if the target scheduling time node is not the first calculation time node, the last time node production state information of the target time node is used as the initial production state information of the target time node;
and performing scheduling simulation based on the initial production state information of the target time node, scheduling events of the target time node and the last time node, and predetermined storage rules, equipment production capacity rules and material balance rules, and determining the production plan information of the target time node.
Optionally, the predetermined tank warehousing rules comprise:
judging whether the storage tank can meet the storage requirement;
if the storage requirement can not be met, judging whether other storage tanks can be added or not;
if no storage tank can be added, the storage tank is in an abnormal state, and production capacity parameters are reminded to be adjusted again to conduct scheduling simulation.
Optionally, the device capacity rule comprises:
and judging whether the production capacity parameter of the equipment is within the adjustment range of the production parameter, and if the production capacity parameter exceeds the adjustment range, prompting to adjust the production capacity parameter of the equipment.
Optionally, the material balance rule comprises:
for the balance calculation of the circulating materials, judging whether the discharge of the first equipment meets the feeding of at least one second equipment, and judging whether the discharge of the second equipment meets the feeding of the first equipment;
and if any judgment condition is not met, performing iterative calculation on the production parameters of the first equipment and the second equipment until the discharge of the first equipment meets the feeding of at least one second equipment, and the discharge of at least one second equipment meets the feeding of the first equipment.
In a second aspect, there is provided a scheduling apparatus, the apparatus comprising:
the system comprises a receiving module, a processing module and a scheduling module, wherein the receiving module is used for receiving scheduling event information in a preset time period, and the scheduling event information comprises at least one of crude oil receiving event information, crude oil processing event information, product blending event information and product delivery event information;
the acquisition module is used for acquiring initial production state information, wherein the initial production state information comprises processed crude oil variety information, storage tank state information and equipment production capacity parameters;
and the determining module is used for performing scheduling simulation based on scheduling event information, initial production state information, preset storage tank storage rules, equipment production capacity rules and material balance rules, and determining a target scheduling plan.
Optionally, the determining module includes:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a starting time node and an ending time node of each scheduling event;
the first determining unit is used for counting and removing duplication of the starting time node and the ending time node of each scheduling event, supplementing the time nodes based on the preset scheduling time granularity information and determining the scheduling time nodes;
the second determining unit is used for performing scheduling simulation based on scheduling event information, initial production state information, preset storage rules, equipment production capacity rules and material balance rules, and determining production plan information of each scheduling time node;
and the third determining unit is used for determining the target production scheduling plan based on the production plan information of each production scheduling time node.
Optionally, the second determining unit is configured to, if the target scheduled production time node is the first time node, use the initial production state information as the initial production state information of the target time node; if the target scheduling time node is not the first calculation time node, the last time node production state information of the target time node is used as the initial production state information of the target time node;
and the production planning system is used for carrying out production scheduling simulation based on the initial production state information of the target time node, the production scheduling events of the target time node and the last time node, and preset storage rules, equipment production capacity rules and material balance rules, and determining the production planning information of the target time node.
Optionally, the predetermined tank warehousing rules comprise:
judging whether the storage tank can meet the storage requirement;
if the storage requirement can not be met, judging whether other storage tanks can be added or not;
if no storage tank can be added, the storage tank is in an abnormal state, and production capacity parameters are reminded to be adjusted again to conduct scheduling simulation.
Optionally, the device capacity rule comprises:
and judging whether the production capacity parameter of the equipment is within the adjustment range of the production parameter, and if the production capacity parameter exceeds the adjustment range, prompting to adjust the production capacity parameter of the equipment.
Optionally, the material balance rule comprises:
for the balance calculation of the circulating materials, judging whether the discharge of the first equipment meets the feeding of at least one second equipment, and judging whether the discharge of the second equipment meets the feeding of the first equipment;
and if any judgment condition is not met, performing iterative calculation on the production parameters of the first equipment and the second equipment until the discharge of the first equipment meets the feeding of at least one second equipment, and the discharge of at least one second equipment meets the feeding of the first equipment.
In a third aspect, an electronic device is provided, which includes:
one or more processors;
a memory;
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: the scheduling method shown in the first aspect is performed.
In a fourth aspect, there is provided a computer-readable storage medium for storing computer instructions which, when executed on a computer, cause the computer to perform the scheduling method of the first aspect.
Compared with the prior art that production scheduling is realized manually, the production scheduling method, the production scheduling device, the electronic equipment and the computer readable storage medium receive production scheduling event information within a preset time period, wherein the production scheduling event information comprises at least one of crude oil receiving event information, crude oil processing event information, product blending event information and product delivery event information; acquiring initial production state information, wherein the initial production state information comprises at least one of processed crude oil variety information, storage tank state information and equipment production capacity parameters; and performing scheduling simulation based on scheduling event information, initial production state information, preset storage tank storage rules, equipment production capacity rules and material balance rules, and determining a target scheduling plan. The scheduling simulation is carried out based on the received scheduling event information in the preset time period and the obtained initial production state information, the target scheduling plan is automatically determined, compared with manual scheduling, the scheduling efficiency can be improved, and the scheduling plan can be timely adjusted even if the scheduling event is adjusted or equipment faults occur, so that the influence on production can be avoided.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic flow chart of a scheduling method according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a production scheduling apparatus according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of an example scheduling simulation according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application.
As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Scheduling operation planning work broadly refers to the planning and execution of crude oil processing plans and production plans for subsequent units, and the planning and execution are dynamically adjusted during execution. The process scheme (namely the scheduling scheme) is determined by comprehensively considering all aspects of factors, and the process is repeatedly cycled and dynamically adjusted.
Illustratively, FIG. 3 shows a schematic of a crude oil production and disposal system. The crude oil production scheduling system needs to perform simulation measurement and calculation on the aspects of device load, material direction and the like of each stage according to a production plan or a production plan adjusting scheme issued by an operation plan part, formulate a weekday operation plan and issue the weekday operation plan to a related production operation part for execution, namely, according to a received operation management plan (scheduling event), determining crude oil receiving and discharging scheduling, crude oil processing scheduling, production device scheduling and oil blending scheduling according to scheduling simulation, wherein the scheduling simulation comprises crude oil scheduling simulation, production device scheduling simulation and oil blending scheduling simulation, when all three scheduling simulations are feasible, determining that a scheduling result is feasible, and when any scheduling simulation is not feasible, adjusting until all three scheduling simulations are feasible.
According to the actual production process flow of a refinery, a six-level tree structure is utilized to establish an enterprise scheduling process flow model, and the scheduling model is mainly described in six aspects of resource purchasing, primary processing, secondary processing, product blending, product flow direction and storage tank.
The resource purchasing (related to crude oil receiving event information) mainly describes the process of acquiring and purchasing crude oil, raw materials and other materials of an enterprise, and the model is divided into a device level, a scheme level, a lateral line level and a forward level. The device level mainly describes the types of purchased materials of an enterprise, and the scheme level describes the names of specific materials of various materials, such as the names of specific crude oil. The side line level describes the purposes of the purchased materials, the destination level is used for describing the destinations of all the purposes of the purchased materials after the purchased materials enter a plant, and an association relation is established between the destinations and other models.
The primary processing (related to crude oil processing event information) mainly describes the processing process of crude oil of an enterprise, and the model is divided into a device level, a scheme level, a lateral line level and a destination level. The plant level mainly describes the main unit for processing crude oil, and different units of the scheme level process crude oil to obtain processing schemes, such as a high-sulfur processing scheme, a low-sulfur processing scheme and the like. The side line level describes the input and output conditions of crude oil processed by different processing schemes, including the proportion of each material in the class level of the output material and the like. The going stage is used for describing the going direction of each lateral line and establishing an association relation with other models.
The secondary processing (related to crude oil processing event information, and the secondary processing specifically comprises production information of various accumulated products) mainly describes the secondary processing process of crude oil of an enterprise, and the model is divided into a device level, a scheme level, a side line level and a destination level. The device level mainly describes the primary device for secondary processing of crude oil, and the scheme level describes the different processing schemes of the device. The side line level describes the input and output conditions of different processing schemes, including the proportion of each material in the class level of the output material and the like. The going stage is used for describing the going direction of each lateral line and establishing an association relation with other models.
And product reconciliation, which is mainly used for describing the reconciliation process of enterprise products, wherein the model is divided into a device level, a scheme level, a lateral line level and a destination level. The device level mainly describes the types and the classifications of the concordance heads of the enterprise, and the scheme level describes the types of the concordance products of different concordance heads. The side line level describes the input and output of materials required to reconcile the various products. The destination stage is used for describing the source of materials required by blending and the destination of the blended products.
The product flow direction (related to product delivery event information) is mainly used for describing the delivery process of enterprise products, and the model is divided into a device level, a scheme level, a siding level and a destination level. The device level mainly describes the types and the classifications of products leaving the factory of an enterprise, and the scheme level specifically obtains the brand of the product types. The going stage is used for describing the going direction of each lateral line and establishing an association relation with other models.
The storage tank (relates to information such as storage capacity information of the storage tank, types of stored products, whether other storage tanks are connected and the like) is mainly used for describing the storage process of the products obtained by enterprises, the material physical tanks of the enterprises are described, and the model is divided into a device level, a scheme level, a lateral line level and a heading level. The device level mainly describes the classification condition of the tank area obtained by the enterprise, and the scheme level is the specific name of the tank. The side line stage is used to describe the charging, discharging of the tank. The destination stage is used for describing the source of the material entering the tank and the destination of the material leaving the tank.
Scheduling and scheduling
According to a monthly processing plan formulated by a refinery, enterprise processing plans and events including enterprise crude oil receiving events, crude oil processing events, product blending events, product delivery events and the like are arranged within a certain period (weeks and months), scheduling rules are established according to a scheduling model, simulation calculation is carried out on the events, the possibility of occurrence of the events is calculated, the events are continuously adjusted to be arranged, and finally reasonable planning arrangement is obtained. The master scheduled production events include:
(1) crude oil dispatch
According to the requirements of crude oil varieties, crude oil processing plans, device constraint conditions and product quality, the rationality of the processing amount, the processing oil types, the processing sequence, the oil changing time and the oil type collocation of the atmospheric and vacuum distillation device is ensured.
Crude oil loading and unloading: the existing crude oil tank area stock and crude oil properties are utilized, the separate storage and the separate refining of different crude oil varieties of an enterprise are realized according to the actual conditions of the enterprise, and the production of a device cannot be influenced by the tank emptying or turnover problems.
Crude oil processing: according to the atmospheric and vacuum load, the feeding property requirement of an atmospheric and vacuum device, the raw material requirement of a secondary device and the stock condition of a crude oil tank of a chargeable device, reasonably arranging the oil tank, the oil amount, the starting time and the ending time, and supporting a single tank and a plurality of tanks to simultaneously charge the atmospheric and vacuum device;
transferring crude oil: estimating different function positioning of each tank area of an enterprise, wherein the oil discharge tank is beneficial to crude oil transfer processing, the blending times of a plant area are reduced, and the aim is to directly process crude oil in the crude oil tank under normal reduced pressure; the requirements of atmospheric and vacuum pressure reduction in a plant area and processing, product blending and delivery of downstream devices are met.
Description of the function: and performing scheduling according to the crude oil processing condition obtained by rolling the production plan to obtain a specific arrangement from crude oil feeding to atmospheric and vacuum feeding.
(2) Scheduling of secondary processing devices
Establishing a device model to be consistent with the actual production, and making a reasonable device production scheme: the method reasonably allocates crude oil, semi-finished products and finished products, allocates and stores the crude oil, semi-finished products and finished products, ensures the balance of storage, receiving and payment and the like, and comprises the following steps:
feeding and production scheduling: the method is characterized in that the production device is reasonably arranged to directly supply the side line output and the property of the atmospheric and vacuum device, the load of the secondary device and the limitation of raw material feeding, and the stock and the property of the raw materials in the tank area are taken as constraints according to a monthly plan and the material supply relationship of the whole plant;
product arrangement: reasonably arranging the flow direction relation of the device material direct supply device, the tank area and the tank according to the information of the material supply relation among the devices, the device load and the like;
delta base application: the application of the Delta base in model calculation is very many, taking a hydrocracking unit model as an example, according to experience, the main factors influencing the product yield and physical properties of the hydrocracking unit are 4 parameters of the density, the total nitrogen content, the sulfur content and the volume average boiling point of the feed of the unit. According to historical production data of the hydrocracking unit, the consumption of hydrogen under the condition of the 4-factor reference parameter, the yield and the loss of each product and a correction coefficient of 1 unit change of the parameter are given, and the product yield of the hydrocracking unit is calculated according to the following steps:
the delta is the actual parameter value-the reference parameter value;
the yield of the product is equal to the reference yield plus sigma (delta x corresponding correction coefficient);
product yield equals product yield × total feed;
(3) product blending scheduling
The oil blending formula makes a detailed oil blending scheme according to the flow rate and physical properties of blending components, the receiving and payment state of an oil tank, tank storage information and the like, such as the time for blending the product, the utilization of intermediate products and tanks for blending, the initial blending formula and the like.
Description of the function: and (4) carrying out blending formula arrangement according to product blending information obtained by rolling the production plan to obtain specific arrangement from component feeding to product delivery.
(4) Product dispatch
And arranging each product to leave a factory according to the blending arrangement of the oil products and the order of the products, thereby realizing the factory scheduling function of scheduling personnel on the blended products.
(5) Simulation prediction
And (3) verifying the feasibility of the scheme by simulating and previewing the whole production process, and feeding back the abnormal time and production links of the scheme, thereby providing an auxiliary decision for the production decision.
An embodiment of the present application provides a production scheduling method, as shown in fig. 1, the method may include the following steps:
step S101, receiving scheduling event information in a preset time period, wherein the scheduling event information comprises at least one of crude oil receiving event information, crude oil processing event information, product blending event information and product delivery event information;
specifically, the scheduling event information within one month may be received, and specifically, the following information may be included, but is not limited to: crude oil purchase information (crude oil receiving event information, which specifically includes stored storage tank information, flow rate information, and the like), crude oil processing event information (information of primary processing and secondary processing of crude oil), product blending event information, and product delivery event information (information of selling or transferring out crude oil or products).
Step S102, obtaining initial production state information, wherein the initial production state information comprises at least one of processed crude oil variety information, storage tank state information and equipment production capacity parameters;
specifically, the initial production state information may be obtained before the start of the scheduling, and the initial production state information includes, but is not limited to, the processed crude oil variety information, the storage tank state information (including, but not limited to, identification information, work minimum, work maximum, type of stored product, whether to connect to other storage tanks, location information, etc.), the equipment production capacity parameter (including, but not limited to, speed of producing different products, required materials, product output information, etc.).
And S103, performing production scheduling simulation based on the production scheduling event information, the initial production state information, the preset storage tank storage rule, the preset equipment production capacity rule and the preset material balance rule, and determining a target production scheduling plan.
Specifically, a target production schedule is determined based on production schedule event information, initial production state information, predetermined storage tank storage rules, equipment production capacity rules and material balance rules. And if any rule is not met, adjusting and simulating again until all rule conditions are met.
Compared with the prior art that production scheduling is realized manually, the production scheduling method provided by the embodiment of the application receives production scheduling event information in a preset time period, wherein the production scheduling event information comprises at least one of crude oil receiving event information, crude oil processing event information, product blending event information and product delivery event information; acquiring initial production state information, wherein the initial production state information comprises at least one of processed crude oil variety information, storage tank state information and equipment production capacity parameters; and performing scheduling simulation based on scheduling event information, initial production state information, preset storage tank storage rules, equipment production capacity rules and material balance rules, and determining a target scheduling plan. The scheduling simulation is carried out based on the received scheduling event information in the preset time period and the obtained initial production state information, the target scheduling plan is automatically determined, compared with manual scheduling, the scheduling efficiency can be improved, and the scheduling plan can be timely adjusted even if the scheduling event is adjusted or equipment faults occur, so that the influence on production can be avoided.
The embodiment of the present application provides a possible implementation manner, specifically, a production scheduling simulation is performed based on production scheduling event information, initial production state information, predetermined storage tank storage rules, equipment production capacity rules, and material balance rules, and a target production scheduling plan is determined, including:
acquiring a starting time node and an ending time node of each scheduling event;
counting and removing duplication of a starting time node and an ending time node of each scheduling event, supplementing time nodes based on preset scheduling time granularity information, and determining scheduling time nodes;
performing scheduling simulation based on scheduling event information, initial production state information, predetermined storage rules, equipment production capacity rules and material balance rules, and determining production plan information of each scheduling time node;
and determining a target scheduling plan based on the production plan information of each scheduling time node.
Illustratively, the following table schedules events,
event ID Type (B) Start time node End time node
1 Crude oil processing 2019/3/13 6:00 2019/3/15 9:40
2 Crude oil processing 2019/3/15 9:40 2019/3/18 14:20
3 Crude oil processing 2019/3/18 14:20 2019/3/20 6:00
4 Crude oil loading and unloading 2019/3/13 12:00 2019/3/16 16:48
5 Crude oil loading and unloading 2019/3/16 16:48 2019/3/19 2:24
6 Crude oil transfer 2019/3/13 6:00 2019/3/15 11:36
7 Crude oil transfer 2019/3/15 18:48 2019/3/18 5:12
Counting the time nodes of all events to obtain the following time nodes:
2019/3/13 6:00;2019/3/15 9:40;2019/3/18 14:20;2019/3/13 12:00;2019/3/16 16:48;2019/3/13 6:00;2019/3/15 18:48;2019/3/15 9:40;2019/3/18 14:20;2019/3/20 6:00;2019/3/16 16:48;2019/3/19 2:24;2019/3/15 11:36;2019/3/18 5:12;2019/3/13 6:00;2019/3/14 6:0;2019/3/15 6:00;2019/3/16 6:00;2019/3/17 6:00;2019/3/18 6:00;2019/3/19 6:00;2019/3/20 6:00。
missing duplicate time node: 2019/3/136: 00; 2019/3/159: 40; 2019/3/1814:20
2019/3/16 16:48;2019/3/13 6:00;2019/3/15 9:40;2019/3/18 14:20;2019/3/20 6:00;2019/3/16 16:48;2019/3/13 6:00;2019/3/20 6:00。
Removing duplicate time nodes: 2019/3/1312: 00; 2019/3/1518: 48; 2019/3/159: 40; 2019/3/1814: 20; 2019/3/206: 00; 2019/3/1616: 48; 2019/3/192: 24; 2019/3/1511: 36; 2019/3/185: 12; 2019/3/136: 00; 2019/3/146: 00; 2019/3/156: 00; 2019/3/166: 00; 2019/3/176: 00; 2019/3/186: 00; 2019/3/196:00.
Sequencing the time nodes: 2019/3/136: 00; 2019/3/1312: 00; 2019/3/146: 00; 2019/3/156: 00; 2019/3/159: 40; 2019/3/1511: 36; 2019/3/1518: 48; 2019/3/166: 00; 2019/3/1616: 48; 2019/3/176: 00; 2019/3/185: 12; 2019/3/186: 00; 2019/3/1814: 20; 2019/3/192: 24; 2019/3/196: 00; 2019/3/206:00.
After the time nodes are sorted, the time nodes can be supplemented aiming at the date which is not involved in the 3 months, and if the date which is not involved in the 3 months and 21 days is not involved, the time node of the 3 months and 21 days is supplemented. Then, performing scheduling simulation based on scheduling event information, initial production state information, predetermined storage rules, equipment production capacity rules and material balance rules, and determining production plan information of each scheduling time node;
the embodiment of the present application provides a possible implementation manner, specifically, performing production scheduling simulation based on production scheduling event information, initial production state information, predetermined storage rules, equipment production capacity rules, and material balance rules, and determining production plan information of each production scheduling time node, including:
if the target scheduling time node is a first time node (wherein, the first day for starting scheduling can be taken as the first time node), taking the initial production state information as the initial production state information of the target time node; if the target scheduling time node is not the first calculation time node, the last time node production state information of the target time node is used as the initial production state information of the target time node;
and performing scheduling simulation based on the initial production state information of the target time node, scheduling events of the target time node and the last time node, and predetermined storage rules, equipment production capacity rules and material balance rules, and determining the production plan information of the target time node.
The embodiment of the present application provides a possible implementation manner, and in particular, a predetermined storage tank warehousing rule, including:
and judging whether the storage tank can meet the storage requirement, if so, exceeding the maximum storage capacity.
If the storage requirement cannot be met, judging whether other storage tanks can be added, and if so, adding the storage tank for storing the same product.
If no storage tank can be added, the storage tank is in an abnormal state, and production capacity parameters are reminded to be adjusted again to conduct scheduling simulation.
The embodiment of the present application provides a possible implementation manner, and specifically, an apparatus throughput rule, including:
and judging whether the production capacity parameter of the equipment is within the adjustment range of the production parameter, and if the production capacity parameter exceeds the adjustment range, prompting to adjust the production capacity parameter of the equipment.
The embodiment of the present application provides a possible implementation manner, and specifically, the material balance rule includes:
for the balance calculation of the circulating materials, judging whether the discharge of the first equipment meets the feeding of at least one second equipment, and judging whether the discharge of the second equipment meets the feeding of the first equipment;
and if any judgment condition is not met, performing iterative calculation on the production parameters of the first equipment and the second equipment until the discharge of the first equipment meets the feeding of at least one second equipment, and the discharge of at least one second equipment meets the feeding of the first equipment.
Exemplarily, the a device: feed 1, feed 2 (product 4 of unit B), product 1, product 2, product 3, product 4 (feed 2 of unit B)
A device B: feed 1, feed 2 (product 4 of unit a), product 1, product 2, product 3, product 4 (feed 2 of unit a).
An iterative computation model: when the A device only has the feed 1, the yield of the product 4 is 10 percent, when the proportion of the feed 2 is increased by 1 percent, the yield of the product 4 is improved by 0.1 percent, when the B device only has the feed 1, the yield of the product 4 is 5 percent, when the proportion of the feed 2 is increased by 1 percent, the yield of the product 4 is improved by 0.05 percent
Event: the processing amount of the apparatus A and the apparatus B in this period was 10
The first calculation is as follows: device a with feed 1 equal to 10, device a with feed 2 equal to 0, device a with product 4 equal to 1, device B with feed 1 equal to 10, device B with feed 2 equal to 0, and device B with product 4 equal to 0.5
And (3) judging: device a feed 2-device B product 4 ═ 0.5; b device feed 2-a device product 4 ═ 1, requiring iteration
And (3) calculating for the second time: device a with feed 1 ═ 9.5, device a with feed 2 ═ 0.5, device a with product 4 ═ 1.05, device B with feed 1 ═ 9, device B with feed 2 ═ 1, and device B with product 4 ═ 0.55
And (3) judging: : device a feed 2-device B product 4 ═ 0.05; b unit feed 2-a unit product 4 ═ 0.05, requiring iteration
The third calculation: : device a feed 1 ═ 9.45, device a feed 2 ═ 0.55, device a product 4 ═ 1.055, device B feed 1 ═ 8.95, device B feed 2 ═ 1.05, and device B product 4 ═ 0.5425
And (3) judging: device a feed 2-device B product 4 ═ 0.0075; device B feed 2-device a product 4-0.005 with absolute difference less than 0.01, and the iteration ends.
Fig. 2 is a production scheduling apparatus according to an embodiment of the present application, where the apparatus 20 includes: a receiving module 201, an obtaining module 202, and a determining module 203, wherein,
the system comprises a receiving module 201, a processing module and a processing module, wherein the receiving module is used for receiving scheduling event information in a preset time period, and the scheduling event information comprises at least one of crude oil receiving event information, crude oil processing event information, product blending event information and product delivery event information;
an obtaining module 202, configured to obtain initial production state information, where the initial production state information includes at least one of processed crude oil variety information, storage tank state information, and equipment production capacity parameters;
and the determining module 203 is used for performing scheduling simulation based on scheduling event information, initial production state information, predetermined storage tank storage rules, equipment production capacity rules and material balance rules, and determining a target scheduling plan.
Compared with the prior art that production scheduling is achieved manually, the production scheduling device receives production scheduling event information within a preset time period, wherein the production scheduling event information comprises at least one of crude oil receiving event information, crude oil processing event information, product blending event information and product delivery event information; acquiring initial production state information, wherein the initial production state information comprises at least one of processed crude oil variety information, storage tank state information and equipment production capacity parameters; and performing scheduling simulation based on scheduling event information, initial production state information, preset storage tank storage rules, equipment production capacity rules and material balance rules, and determining a target scheduling plan. The scheduling simulation is carried out based on the received scheduling event information in the preset time period and the obtained initial production state information, the target scheduling plan is automatically determined, compared with manual scheduling, the scheduling efficiency can be improved, and the scheduling plan can be timely adjusted even if the scheduling event is adjusted or equipment faults occur, so that the influence on production can be avoided.
Optionally, the determining module includes:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a starting time node and an ending time node of each scheduling event;
the first determining unit is used for counting and removing duplication of the starting time node and the ending time node of each scheduling event, supplementing the time nodes based on the preset scheduling time granularity information and determining the scheduling time nodes;
the second determining unit is used for performing scheduling simulation based on scheduling event information, initial production state information, preset storage rules, equipment production capacity rules and material balance rules, and determining production plan information of each scheduling time node;
and the third determining unit is used for determining the target production scheduling plan based on the production plan information of each production scheduling time node.
Optionally, the second determining unit is configured to, if the target scheduled production time node is the first time node, use the initial production state information as the initial production state information of the target time node; if the target scheduling time node is not the first calculation time node, the last time node production state information of the target time node is used as the initial production state information of the target time node;
and the production planning system is used for carrying out production scheduling simulation based on the initial production state information of the target time node, the production scheduling events of the target time node and the last time node, and preset storage rules, equipment production capacity rules and material balance rules, and determining the production planning information of the target time node.
Optionally, the predetermined tank warehousing rules comprise:
judging whether the storage tank can meet the storage requirement;
if the storage requirement can not be met, judging whether other storage tanks can be added or not;
if no storage tank can be added, the storage tank is in an abnormal state, and production capacity parameters are reminded to be adjusted again to conduct scheduling simulation.
Optionally, the device capacity rule comprises:
and judging whether the production capacity parameter of the equipment is within the adjustment range of the production parameter, and if the production capacity parameter exceeds the adjustment range, prompting to adjust the production capacity parameter of the equipment.
Optionally, the material balance rule comprises:
for the balance calculation of the circulating materials, judging whether the discharge of the first equipment meets the feeding of at least one second equipment, and judging whether the discharge of the second equipment meets the feeding of the first equipment;
and if any judgment condition is not met, performing iterative calculation on the production parameters of the first equipment and the second equipment until the discharge of the first equipment meets the feeding of at least one second equipment, and the discharge of at least one second equipment meets the feeding of the first equipment.
The scheduling apparatus of this embodiment can execute the scheduling method provided in the above embodiments of this application, and the implementation principles thereof are similar, and are not described herein again.
An embodiment of the present application provides an electronic device, as shown in fig. 4, an electronic device 40 shown in fig. 4 includes: a processor 401 and a memory 403. Wherein the processor 401 is coupled to the memory 403, such as via a bus 402. Further, the electronic device 40 may also include a transceiver 404. It should be noted that the transceiver 404 is not limited to one in practical applications, and the structure of the electronic device 40 is not limited to the embodiment of the present application. The processor 401 is applied in the embodiment of the present application, and is used to implement the functions of the modules shown in fig. 2. The transceiver 404 includes a receiver and a transmitter.
The processor 401 may be a CPU, general purpose processor, DSP, ASIC, FPGA or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 401 may also be a combination of computing functions, e.g., comprising one or more microprocessors, a combination of a DSP and a microprocessor, or the like.
Bus 402 may include a path that transfers information between the above components. The bus 402 may be a PCI bus or an EISA bus, etc. The bus 402 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
The memory 403 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an EEPROM, a CD-ROM or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 403 is used for storing application program codes for executing the scheme of the application, and the execution is controlled by the processor 401. The processor 401 is configured to execute application program code stored in the memory 403 to implement the functions of the scheduling apparatus provided by the embodiment shown in fig. 2.
Compared with the prior art that production scheduling is achieved manually, the electronic equipment provided by the embodiment of the application receives production scheduling event information within a preset time period, wherein the production scheduling event information comprises at least one of crude oil receiving event information, crude oil processing event information, product blending event information and product delivery event information; acquiring initial production state information, wherein the initial production state information comprises at least one of processed crude oil variety information, storage tank state information and equipment production capacity parameters; and performing scheduling simulation based on scheduling event information, initial production state information, preset storage tank storage rules, equipment production capacity rules and material balance rules, and determining a target scheduling plan. The scheduling simulation is carried out based on the received scheduling event information in the preset time period and the obtained initial production state information, the target scheduling plan is automatically determined, compared with manual scheduling, the scheduling efficiency can be improved, and the scheduling plan can be timely adjusted even if the scheduling event is adjusted or equipment faults occur, so that the influence on production can be avoided.
The embodiment of the application provides an electronic device suitable for the method embodiment. And will not be described in detail herein.
The present application provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the method shown in the above embodiments is implemented.
Compared with the prior art that production scheduling is achieved manually, the computer-readable storage medium receives production scheduling event information within a preset time period, wherein the production scheduling event information comprises at least one of crude oil receiving event information, crude oil processing event information, product blending event information and product delivery event information; acquiring initial production state information, wherein the initial production state information comprises at least one of processed crude oil variety information, storage tank state information and equipment production capacity parameters; and performing scheduling simulation based on scheduling event information, initial production state information, preset storage tank storage rules, equipment production capacity rules and material balance rules, and determining a target scheduling plan. The scheduling simulation is carried out based on the received scheduling event information in the preset time period and the obtained initial production state information, the target scheduling plan is automatically determined, compared with manual scheduling, the scheduling efficiency can be improved, and the scheduling plan can be timely adjusted even if the scheduling event is adjusted or equipment faults occur, so that the influence on production can be avoided.
The embodiment of the application provides a computer-readable storage medium which is suitable for the method embodiment. And will not be described in detail herein.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations should also be regarded as the protection scope of the present application.

Claims (10)

1. A method of scheduling production, comprising:
receiving scheduling event information in a preset time period, wherein the scheduling event information comprises at least one of crude oil receiving event information, crude oil processing event information, product blending event information and product delivery event information;
acquiring initial production state information, wherein the initial production state information comprises processed crude oil variety information, storage tank state information and equipment production capacity parameters;
and performing scheduling simulation based on the scheduling event information, the initial production state information, the preset storage tank storage rule, the preset equipment production capacity rule and the preset material balance rule, and determining a target scheduling plan.
2. The method of claim 1, wherein determining a target production schedule based on the production schedule event information, the initial production state information, and predetermined storage tank storage rules, equipment capacity rules, and material balance rules comprises:
acquiring a starting time node and an ending time node of each scheduling event;
counting and removing duplication of a starting time node and an ending time node of each scheduling event, supplementing time nodes based on preset scheduling time granularity information, and determining scheduling time nodes;
performing scheduling simulation based on the scheduling event information, the initial production state information, the preset storage rule, the equipment production capacity rule and the material balance rule, and determining the production plan information of each scheduling time node;
and determining a target scheduling plan based on the production plan information of each scheduling time node.
3. The method of claim 2, wherein the determining production plan information for each scheduling time node based on the scheduling event information, the initial production state information, and predetermined warehousing rules, equipment capacity rules, and material balance rules comprises:
if the target scheduling time node is the first time node, taking the initial production state information as the initial production state information of the target time node; if the target scheduling time node is not the first calculation time node, the last time node production state information of the target time node is used as the initial production state information of the target time node;
and performing scheduling simulation based on the initial production state information of the target time node, scheduling events of the target time node and the last time node, and predetermined storage rules, equipment production capacity rules and material balance rules, and determining the production plan information of the target time node.
4. The method according to any one of claims 1 to 3, wherein the predetermined tank warehousing rule comprises:
judging whether the storage tank can meet the storage requirement;
if the storage requirement can not be met, judging whether other storage tanks can be added or not;
if no storage tank can be added, the storage tank is in an abnormal state, and production capacity parameters are reminded to be adjusted again to conduct scheduling simulation.
5. The method of any of claims 1-3, wherein the plant capacity rule comprises:
and judging whether the production capacity parameter of the equipment is within the adjustment range of the production parameter, and if the production capacity parameter exceeds the adjustment range, prompting to adjust the production capacity parameter of the equipment.
6. The method of any one of claims 1-3, wherein the material balance rule comprises:
for the balance calculation of the circulating materials, judging whether the discharge of a first device meets the feeding of at least one second device, and judging whether the discharge of the second device meets the feeding of the first device;
and if any judgment condition is not met, performing iterative calculation on the production parameters of the first equipment and the second equipment until the discharge of the first equipment meets the feeding of at least one second equipment, and the discharge of the at least one second equipment meets the feeding of the first equipment.
7. A production scheduling apparatus, comprising:
the system comprises a receiving module, a processing module and a scheduling module, wherein the receiving module is used for receiving scheduling event information in a preset time period, and the scheduling event information comprises at least one of crude oil receiving event information, crude oil processing event information, product blending event information and product delivery event information;
the acquisition module is used for acquiring initial production state information, wherein the initial production state information comprises processed crude oil variety information, storage tank state information and equipment production capacity parameters;
and the determining module is used for performing scheduling simulation based on the scheduling event information, the initial production state information, the preset storage tank storage rule, the preset equipment production capacity rule and the preset material balance rule, and determining a target scheduling plan.
8. The apparatus of claim 7, wherein the determining module comprises:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a starting time node and an ending time node of each scheduling event;
the first determining unit is used for counting and removing duplication of the starting time node and the ending time node of each scheduling event, supplementing the time nodes based on the preset scheduling time granularity information and determining the scheduling time nodes;
the second determining unit is used for performing scheduling simulation based on the scheduling event information, the initial production state information, the preset storage rule, the equipment production capacity rule and the material balance rule and determining the production plan information of each scheduling time node;
and the third determining unit is used for determining the target production scheduling plan based on the production plan information of each production scheduling time node.
9. An electronic device, comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: performing the scheduling method according to any one of claims 1 to 6.
10. A computer-readable storage medium for storing computer instructions which, when executed on a computer, cause the computer to perform the scheduling method of any of claims 1 to 6.
CN202010634073.1A 2020-07-02 2020-07-02 Scheduling method, scheduling device, electronic equipment and computer readable storage medium Active CN111815148B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010634073.1A CN111815148B (en) 2020-07-02 2020-07-02 Scheduling method, scheduling device, electronic equipment and computer readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010634073.1A CN111815148B (en) 2020-07-02 2020-07-02 Scheduling method, scheduling device, electronic equipment and computer readable storage medium

Publications (2)

Publication Number Publication Date
CN111815148A true CN111815148A (en) 2020-10-23
CN111815148B CN111815148B (en) 2023-10-03

Family

ID=72855303

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010634073.1A Active CN111815148B (en) 2020-07-02 2020-07-02 Scheduling method, scheduling device, electronic equipment and computer readable storage medium

Country Status (1)

Country Link
CN (1) CN111815148B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113221390A (en) * 2021-06-24 2021-08-06 北京京东方技术开发有限公司 Training method and device for scheduling model
CN114399122A (en) * 2022-01-21 2022-04-26 浙江中控技术股份有限公司 Oil blending scheduling optimization method suitable for refinery plant

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040117048A1 (en) * 2002-12-13 2004-06-17 Hung-Shan Wei Master production scheduling management system and method
CN107767068A (en) * 2017-11-02 2018-03-06 山东中烟工业有限责任公司 A kind of lean production high-level plan product plan and method
CN109165871A (en) * 2018-09-18 2019-01-08 龙岩烟草工业有限责任公司 Automatic scheduled production method, apparatus and computer readable storage medium
CN110738413A (en) * 2019-10-15 2020-01-31 中国航空制造技术研究院 Multi-constraint scheduling calculation method and device for automatic aviation part machining production line

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040117048A1 (en) * 2002-12-13 2004-06-17 Hung-Shan Wei Master production scheduling management system and method
CN107767068A (en) * 2017-11-02 2018-03-06 山东中烟工业有限责任公司 A kind of lean production high-level plan product plan and method
CN109165871A (en) * 2018-09-18 2019-01-08 龙岩烟草工业有限责任公司 Automatic scheduled production method, apparatus and computer readable storage medium
CN110738413A (en) * 2019-10-15 2020-01-31 中国航空制造技术研究院 Multi-constraint scheduling calculation method and device for automatic aviation part machining production line

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
王文涛: "炼厂原油混输长周期调度排产建模", 化工管理, pages 87 - 88 *
赵磊 等: "广西石化计划调度一体化系统实施及应用", 信息系统工程, pages 84 - 85 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113221390A (en) * 2021-06-24 2021-08-06 北京京东方技术开发有限公司 Training method and device for scheduling model
CN114399122A (en) * 2022-01-21 2022-04-26 浙江中控技术股份有限公司 Oil blending scheduling optimization method suitable for refinery plant

Also Published As

Publication number Publication date
CN111815148B (en) 2023-10-03

Similar Documents

Publication Publication Date Title
Naeem et al. Production planning optimization for manufacturing and remanufacturing system in stochastic environment
CN111191846A (en) Oil cylinder product scheduling optimization device for complex customization requirements of customers
WO2023159344A1 (en) Production scheduling method for products, electronic device, and storage medium
CN111815148A (en) Scheduling method, scheduling device, electronic equipment and computer readable storage medium
CN112801484B (en) Material distribution scheduling method and system considering batching errors
Mehranfar et al. A novel hybrid whale optimization algorithm to solve a production-distribution network problem considering carbon emissions
CN114897379A (en) Dynamic production plan scheduling system and method based on information feedback
CN112132417A (en) Multi-core power plant spare part overall planning and combined storage system
CN110750526B (en) Method and apparatus for generating single package use plan, and storage medium
JP2010097506A (en) Schedule preparation system, schedule preparation method and schedule preparation program
CN113592303B (en) Monthly production scheduling method, system, medium and terminal for order and inventory simultaneously
CN111539602A (en) Multi-level plan scheduling method for production enterprise
CN117952553A (en) Scheduling scheme determining method and device, electronic equipment and storage medium
CN113705978A (en) Static and dynamic integrated decision-making method and system for multi-machine task cutter
CN117391333A (en) Scheduling method, system and storage medium for workshop part production
CN112288232A (en) Cargo transportation batch planning method and system for trunk network point
Baradaran et al. DETERMINING NUMBER OF WITHDRAWAL KANBAN USING BI-LEVEL OPTIMIZATION AND SIMULATION APPROACHES.
US20070016318A1 (en) Systems and methods for determining production availability
Asih et al. Capacity planning and product allocations under testing time uncertainty in electronic industry
CN113592170B (en) APS planning method and system for project-oriented ERP system
Lalami et al. A model for master production scheduling in automotive powertrain plants: A case study
CN114819843A (en) Method and device for calculating complete set of materials
Plinta et al. Adaptive inventory control system for material items with continuous non-stationary demand
Ismail et al. Modeling of multi-level capacitated lot-size scheduling problem
CN113935673A (en) Warehouse network optimization method and device based on inventory, computer equipment and storage medium

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