CN110516842A - A kind of the two stages coordination and optimized configuring method of Large Steel Roll Sushi stream - Google Patents

A kind of the two stages coordination and optimized configuring method of Large Steel Roll Sushi stream Download PDF

Info

Publication number
CN110516842A
CN110516842A CN201910651801.7A CN201910651801A CN110516842A CN 110516842 A CN110516842 A CN 110516842A CN 201910651801 A CN201910651801 A CN 201910651801A CN 110516842 A CN110516842 A CN 110516842A
Authority
CN
China
Prior art keywords
logistics
vehicle
stage
coil
warehouse
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
CN201910651801.7A
Other languages
Chinese (zh)
Other versions
CN110516842B (en
Inventor
顾佳晨
翟云
刘继超
段清玺
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.)
Beijing Shougang Automation Information Technology Co Ltd
Original Assignee
Beijing Shougang Automation Information Technology 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 Beijing Shougang Automation Information Technology Co Ltd filed Critical Beijing Shougang Automation Information Technology Co Ltd
Priority to CN201910651801.7A priority Critical patent/CN110516842B/en
Publication of CN110516842A publication Critical patent/CN110516842A/en
Application granted granted Critical
Publication of CN110516842B publication Critical patent/CN110516842B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • 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
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • 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
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping

Landscapes

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

Abstract

A kind of the two stages coordination and optimized configuring method of Large Steel Roll Sushi stream, belong to logistics transportation field.This method is unreasonable to the vehicle and goods matching for solving to generate in large-scale steel coil transportation, the not high problem of vehicle load utilization rate.This method judges whether to need using two stages logistic pattern after obtaining logistics order information using global Logistical coordination unit, if it is a stage feasible logistics scheme in warehouse for finished product to region library and the two-stage feasible logistics scheme of region library to destination are generated, and according to the logistics scheme in two stages of objective optimization, then loading optimization unit in region carries out coil of strip loading optimization according to target, until all vehicles load factor be greater than 80%, form final optimization logistics scheme.This method comprehensively considers logistics cost and vehicle load utilization rate, fully considers the utilization rate in vehicle goods yard, maximally utilizes vehicle load, buffers logistics peak pressure, vehicle load factor is improved, to reduce whole logistics cost.

Description

A kind of the two stages coordination and optimized configuring method of Large Steel Roll Sushi stream
Technical field
The present invention relates to the coordination of the two stages of coil of strip logistics and optimized configuring methods, are related to passing through in large-scale steel coil transportation The coil of strip material-flow method of two stages coordination optimization is realized in global coordination and the optimization of region vehicle load.
Background technique
The problems such as transport of large-scale coil of strip, it is remote that there are transportation ranges, and the average turn-round rate of rolling stock is low, and vehicle load factor is not high.Due to The transport of certain large size coil of strips, is different from coal and other items, it is necessary to entire volume transport is unable to unpacking, and every single-item weight compared with Greatly, if matching without vehicle and cargo, it is easy to the phenomenon that insufficient vehicle loading or overload occur.The owner of cargo and acknowledgement of consignment Tonnage is settled accounts by weight when quotient settles accounts, and can't be considered the utilization rate or non-full load conditions of vehicle, be thereby resulted in vehicle load It is commonplace using unreasonable situation;Simultaneously for large-scale group, manufacturing enterprise, there are multiple finished product libraries to be distributed in different Place, client is also geographically distributed in different places, therefore considers logistics cost and vehicle utilization efficiency, passes through foundation Warehouse for finished product-region middle database two-stage logistics system improves vehicle load factor, to reduce object to buffer logistics peak pressure Flow cost.
Summary of the invention
The present invention is directed to the Complicated Steel Roll Sushi streaming system of large-scale steel production group, provides a kind of two stages and coordinates and optimization Stowage method.Particular content includes:
Step 1: global Logistical coordination unit obtains logistics order information from ordering system, comprising: O/No., product board Number, weight, warehouse for finished product number, customer number, destination;
Step 2: global Logistical coordination unit judges order whether from single warehouse for finished product to single goal, if it is, Logistics is distributed to the distance between destination information according to the weight and quantity and warehouse for finished product of coil of strip by logistics vehicles allocation unit Vehicle, if it is possible to distribute enough long-distance logistics vehicles, then according to the vehicle of distribution and order information, warehouse for finished product, destination Information generates transport project;It is carried out if it cannot distribute enough coachs according to step 3;
Step 3: global Logistical coordination unit inquires all region libraries for covering destination according to destination, according to order Information inquires all warehouse for finished products that the order is related to, and then generates a stage feasible logistics scheme and the area in warehouse for finished product to region library The two-stage of domain library to destination feasible logistics scheme, each stage have more than one feasible program;
Step 4: the warehouse for finished product and region library and coil of strip that logistics vehicles allocation unit is related to according to some feasible program Weight, quantity information distribute first stage logistics vehicles;
Step 5: the distance of the information of vehicles and warehouse for finished product that logistics cost computing unit is distributed according to previous step to region library Information, coil of strip quantity, coil of strip weight calculate first stage logistics cost;
Step 6: region library and destination that logistics vehicles allocation unit is related to according to some feasible program and coil of strip weight, Quantity information distributes vehicle by logistics vehicles allocation unit;
Step 7: the information of vehicles and region library distance to destination that logistics cost computing unit is distributed according to previous step Information, coil of strip weight, quantity information calculate two-stage logistics cost;
Step 8: global Logistical coordination unit calculates total flow according to a stage logistics cost and two-stage logistics cost Cost;
Step 9: global Logistical coordination unit according to's Target (wherein, N1For a stage vehicle number, N2For two-stage vehicle number, β1、β2The cost system in a respectively stage and two-stage Number), solve logistics scheme of the minimum logistics scheme of overall cost as the order;
Step 10: whether there is vehicle of the vehicle load factor less than 80% in the loading optimization unit judges scheme of region, if Have then according to targetCoil of strip loading optimization is carried out, then by global Logistical coordination unit According to the execution logistics schemes generation transport project in each stage;
Step 11: if the load factor of all vehicles is greater than 80%, global Logistical coordination unit is according to each stage Execute the transport project of logistics schemes generation, the information from warehouse for finished product to the region library stage include: order number, finished product library name and ID, region library name and ID, vehicle, license number, material number, material type, weight of material;From region library to the letter in destination stage Breath includes: order number, region library name and ID, destination title and ID, vehicle, license number, material number, material type, material weight Amount.
The logistics cost computing unit calculates the object of the vehicle according to the logistics distance of each car, vehicle, goods weight Cost is flowed, all logistics vehicles being then related to for each logistics scheme are added up, specific formula for calculation are as follows:Wherein DiFor the logistics distance of i-th vehicle, FiIt is i-th vehicle apart from oil consumption cost, WiIt is i-th The load-carrying of vehicle, αiCoefficient of depreciation, N for i-th vehicle are the vehicle fleet of a logistics scheme.
The logistics vehicles allocation unit according to the distance between the logistics warehouse for finished product of order, region library, destination and Coil of strip weight and quantity distribute vehicle, specific distribution principle are as follows: be first divided into vehicle according to the vehicle condition of vehicle and loading capacity Long-distance (being greater than 500 kilometers), midway (being greater than 100 less than 500 kilometers), short distance (less than 100 kilometers), then according to transportation range Vehicle can be used with coil of strip weight and quantity inquiry, finally distributes vehicle according to the loading capacity of coil of strip quantity and available vehicle.Usually The vehicle of short-distance logistics can be executed more than coach, therefore preferential distribution coach gives through logistics.
The warehouse for finished product refers to the warehouse for finished product inside coil of strip manufacturing enterprise, and the product for being typically different type is stored in Different warehouse for finished products.
The region library refers to common carrier to reduce the logistics that logistics cost is built between warehouse for finished product and destination Middle database, commonly used in being redistributed to steel coil transportation vehicle, to guarantee the peak use rate of vehicle.
The destination refers to the warehouse of steel roll of order client.
The global Logistical coordination unit is responsible for generating feasible logistics scheme, and with logistics ordering system, logistics vehicles Allocation unit, logistics cost computing unit, region loading optimization unit carry out information exchange.And according toTarget (wherein, N1For a stage vehicle number, N2For second order Section vehicle number, β1、β2The respectively cost coefficient in a stage and two-stage) two stages of optimization logistics scheme, utilization is non-linear There is constraint quadratic programming to solve logistics scheme of the minimum logistics scheme of overall cost as the order
The region loading optimization unit optimizes the vehicle load in Regional Logistics scheme.
The advantages of this method: the transport for large-scale coil of strip, by establishing warehouse for finished product-region middle database two-stage logistics body System, comprehensively considers logistics cost and vehicle load utilization rate, fully considers the utilization rate in vehicle goods yard, maximally utilizes vehicle load Weight buffers logistics peak pressure, vehicle load factor is improved, to reduce whole logistics cost.
Detailed description of the invention
Fig. 1 is the two stages coordination and the structural representation of optimized configuring method of a kind of Large Steel Roll Sushi stream of the present invention Figure.
Fig. 2 is that a kind of two stages of Large Steel Roll Sushi stream of the present invention coordinate and the logistics of optimized configuring method is illustrated Figure.
Fig. 3 is that a kind of two stages of Large Steel Roll Sushi stream of the present invention coordinate and the process of optimized configuring method is illustrated Figure.
Specific embodiment
Present invention will be described in further detail below with reference to the accompanying drawings, to enable those skilled in the art referring to specification text Word can be implemented accordingly.
As shown in Figure 1, the present invention by global Logistical coordination unit, logistics vehicles allocation unit, logistics cost computing unit, Region loading optimization unit and order input module composition.Wherein order input information includes:
Order number, the coil of strip trade mark, coil of strip weight, coil of strip quantity, coil of strip store warehouse for finished product, customer ID, destination, delivery Phase;
Global Logistical coordination unit is ranked up according to the delivery date of order according to length of time, and is selected nearest one week Order formulates Logistic Scheduling plan.
Global Logistical coordination unit optimizes logistics scheme for each order, and specific implementation step is to illustrate:
Certain order needs to transport S from warehouse for finished product 11A total W of coil of strip1Ton transports S from warehouse for finished product 22A coil of strip W2Ton, purpose Ground is 2;
The region library that 2 can be arrived at the destination in lookup region library is region library 1, region library 2, region library 3;
Calculating warehouse for finished product 1, warehouse for finished product 2 arrive the distance in region library 1, region library 2, region library 3, obtain 6 distance D11- D16, zoning library 1, region library 2, region library 3 arrive destination distance, obtain 3 distance D21-D23
A stage feasible scheme is found out, this example there are 3, and respectively warehouse for finished product 1 and warehouse for finished product 2 arrives region library 1, finished product Library 1 and warehouse for finished product 2 arrive region library 2, warehouse for finished product 1 and warehouse for finished product 2 and arrive region library 3;
Two-stage feasible scheme is found out, this example there are 3, and purpose is arrived in respectively region library 1 to destination 2, region library 2 Destination 2 is arrived in ground 2, region library 3;
Global Logistical coordination cell call logistics vehicles allocation unit distributes logistics vehicles according to a stage feasible program N11、N12、N13
Global Logistical coordination cell call logistics vehicles allocation unit distributes logistics vehicles according to two-stage feasible program N21、N22、N23
Global Logistical coordination cell call logistics cost computing unit calculates the logistics cost of a stage feasible program, meter Calculation method isSuch as feasible program 1 is calculated as
Global Logistical coordination cell call logistics cost computing unit calculates the logistics cost of two-stage feasible program, meter Calculation method is same as above;
Global Logistical coordination unit calculates overall cost according to two stage logistics cost, and calculation method is M=β1*M1+ β2*M2β12=1, wherein M1、M2A respectively stage, two-stage logistics cost, β1、β2A respectively stage and two-stage at This Split Factor
Global Logistical coordination unit according toTarget, Solve logistics scheme of the minimum logistics scheme of overall cost as the order.Wherein, N1For a stage vehicle number, N2For second order Section vehicle number.
After region loading optimization unit obtains the logistics scheme of each order, calculate in two scheme of stage in each region library The load factor w/G of vehicle, wherein w is vehicle allocation loading capacity, and G is vehicle dead weight, is less than if there is load factor 80% vehicle then carries out loading optimization, specific implementation step to by all vehicles in the region library are as follows:
The logistics vehicles number N, the goods yard number S of each vehicle by region library are calculated firsti, dead weight Wi, contained Coil of strip quantity Mi, each coil of strip weight Gsj
Determine optimization aim
Determine constraint condition Wi≥Wsi,Si≥Mi,;
Above-mentioned optimization problem, the coil of strip quantity of each car after being optimized are solved using nonlinear restriction optimization algorithm MoiAnd Gosj
According to MoiAnd GosjGive this N number of vehicle prestowage again;
Global Logistical coordination unit generates the plan of two stages logistics transportation and is handed down to according to redistributing vehicle and prestowage Logistics executes system.
The global Logistical coordination unit, region loading optimization unit, logistics cost computing unit, logistics vehicles distribution Unit is the computer program mutually communicated.
Although the embodiments of the present invention have been disclosed as above, but its is not only in the description and the implementation listed With it can be fully applied to various fields suitable for the present invention, for those skilled in the art, can be easily Realize other modification, therefore without departing from the general concept defined in the claims and the equivalent scope, the present invention is simultaneously unlimited In specific details and legend shown and described herein.

Claims (3)

1. a kind of two stages of Large Steel Roll Sushi stream coordinate and optimize stowage method, it is characterised in that:
Step 1: global Logistical coordination unit obtains logistics order information from ordering system;
Step 2: global Logistical coordination unit judges order whether from single warehouse for finished product to single goal, if it is, by object It flows vehicle allocation unit and distributes logistics vehicles to the distance between destination information according to the weight and quantity and warehouse for finished product of coil of strip, It is raw according to the vehicle and order information, warehouse for finished product, destination information of distribution if enough long-distance logistics vehicles can be distributed At transport project;It is carried out if it cannot distribute enough coachs according to step 3;
Step 3: global Logistical coordination unit inquires all region libraries for covering destination according to destination, believed according to order Breath inquires all warehouse for finished products that the order is related to, and then generates a stage feasible logistics scheme and the region in warehouse for finished product to region library The two-stage of library to destination feasible logistics scheme, each stage have more than one feasible program;
Step 4: warehouse for finished product and region library and coil of strip weight that logistics vehicles allocation unit is related to according to each feasible program, Quantity information distributes first stage logistics vehicles;It determines from warehouse for finished product to the information in region library stage;
Step 5: the distance in information of vehicles and warehouse for finished product to region library that logistics cost computing unit is distributed according to previous step is believed Breath, coil of strip quantity, coil of strip weight calculate first stage logistics cost;
Step 6: region library and destination that logistics vehicles allocation unit is related to according to each feasible program and coil of strip weight, quantity Information distributes vehicle by logistics vehicles allocation unit;It determines from region library to the information in destination stage;
Step 7: information of vehicles and region library distance to destination that logistics cost computing unit is distributed according to previous step are believed Breath, coil of strip weight, quantity information calculate two-stage logistics cost;
Step 8: global Logistical coordination unit according to a stage logistics cost and two-stage logistics cost calculate total flow at This;
Step 9: global Logistical coordination unit according toTarget, Wherein DiFor the logistics distance of i-th vehicle, FiIt is i-th vehicle apart from oil consumption cost, WiLoad-carrying, α for i-th vehicleiIt is i-th Coefficient of depreciation, the N of vehicle1For a stage vehicle number, N2For two-stage vehicle number, β1Cost coefficient, β for a stage2For second order The cost coefficient of section, solves logistics scheme of the minimum logistics scheme of overall cost as the order;
Step 10: whether having vehicle of the vehicle load factor less than 80% in the loading optimization unit judges scheme of region, if so, then According to targetCarry out coil of strip loading optimization, then by global Logistical coordination unit according to The execution logistics schemes generation transport project in each stage;
Step 11: if the load factor of all vehicles is greater than 80%, global Logistical coordination unit holding according to each stage Row logistics schemes generation transport project;
DescribedWherein N is the logistics vehicles number by region library, SiFor i-th vehicle Goods yard number, WiFor i-th vehicle dead weight, MiFor the contained coil of strip quantity of i-th vehicle;, according to optimization aim, constraint condition Wi≥Wsi,Si≥Mi, GsjFor each coil of strip weight on vehicle, solved using nonlinear restriction optimization algorithm Above-mentioned optimization problem, the coil of strip quantity M of each car after being optimizedoiWith coil of strip weight Gosj
2. dispatching method according to claim 1, it is characterised in that: the global Logistical coordination unit is from ordering system Obtaining logistics order information includes: O/No., product grade, weight, warehouse for finished product number, customer number, destination;Described Information from warehouse for finished product to the region library stage includes: order number, finished product library name and ID, region library name and ID, vehicle, vehicle Number, material number, material type, weight of material;Described includes: order number, region from region library to the information in destination stage Library name and ID, destination title and ID, vehicle, license number, material number, material type, weight of material.
3. coordination approach according to claim 1, it is characterised in that: the logistics cost computing unit is according to each car Logistics distance, vehicle, goods weight calculate the logistics cost of the vehicle, the property being then related to for each logistics scheme Stream vehicle is added up, specific formula for calculation are as follows:Wherein N is that the vehicle of a logistics scheme is total It counts, then basisTwo stages of objective optimization logistics side Case has constraint quadratic programming to solve the minimum logistics scheme of overall cost as the logistics side of the order using non-linear Case.
CN201910651801.7A 2019-07-18 2019-07-18 Two-stage coordination and optimized stowage method for large steel coil logistics Active CN110516842B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910651801.7A CN110516842B (en) 2019-07-18 2019-07-18 Two-stage coordination and optimized stowage method for large steel coil logistics

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910651801.7A CN110516842B (en) 2019-07-18 2019-07-18 Two-stage coordination and optimized stowage method for large steel coil logistics

Publications (2)

Publication Number Publication Date
CN110516842A true CN110516842A (en) 2019-11-29
CN110516842B CN110516842B (en) 2022-04-12

Family

ID=68623068

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910651801.7A Active CN110516842B (en) 2019-07-18 2019-07-18 Two-stage coordination and optimized stowage method for large steel coil logistics

Country Status (1)

Country Link
CN (1) CN110516842B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111652438A (en) * 2020-06-04 2020-09-11 上海燕汐软件信息科技有限公司 Dynamic optimization method and device for logistics line
CN113283739A (en) * 2021-05-20 2021-08-20 北京京东振世信息技术有限公司 Task allocation method, device, equipment and storage medium
CN113780949A (en) * 2021-09-14 2021-12-10 福建三钢闽光股份有限公司 Truck steel plate and steel coil mixed loading method based on order information

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101441731A (en) * 2007-08-27 2009-05-27 北京奥腾讯达科技有限公司 Physical distribution optimizing management system
US20140236784A1 (en) * 2013-02-18 2014-08-21 Sap Ag Shipping order settlement basis
CN104951850A (en) * 2015-06-25 2015-09-30 广东工业大学 Method for solving multiple-depot logistics transportation vehicle routing problem
CN109919532A (en) * 2017-12-13 2019-06-21 菜鸟智能物流控股有限公司 Logistics node determination method and device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101441731A (en) * 2007-08-27 2009-05-27 北京奥腾讯达科技有限公司 Physical distribution optimizing management system
US20140236784A1 (en) * 2013-02-18 2014-08-21 Sap Ag Shipping order settlement basis
CN104951850A (en) * 2015-06-25 2015-09-30 广东工业大学 Method for solving multiple-depot logistics transportation vehicle routing problem
CN109919532A (en) * 2017-12-13 2019-06-21 菜鸟智能物流控股有限公司 Logistics node determination method and device

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
毕明华: "动态物流中多点多源最佳路径算法研究与实现", 《中国优秀博硕士学位论文全文数据库(硕士)》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111652438A (en) * 2020-06-04 2020-09-11 上海燕汐软件信息科技有限公司 Dynamic optimization method and device for logistics line
CN111652438B (en) * 2020-06-04 2024-04-19 上海燕汐软件信息科技有限公司 Dynamic optimization method and device for logistics line
CN113283739A (en) * 2021-05-20 2021-08-20 北京京东振世信息技术有限公司 Task allocation method, device, equipment and storage medium
CN113283739B (en) * 2021-05-20 2024-03-08 北京京东振世信息技术有限公司 Task allocation method, device, equipment and storage medium
CN113780949A (en) * 2021-09-14 2021-12-10 福建三钢闽光股份有限公司 Truck steel plate and steel coil mixed loading method based on order information
CN113780949B (en) * 2021-09-14 2023-09-05 福建三钢闽光股份有限公司 Truck steel plate and steel coil mixed loading method based on order information

Also Published As

Publication number Publication date
CN110516842B (en) 2022-04-12

Similar Documents

Publication Publication Date Title
Dondo et al. The multi-echelon vehicle routing problem with cross docking in supply chain management
CN110516842A (en) A kind of the two stages coordination and optimized configuring method of Large Steel Roll Sushi stream
Imai et al. A Lagrangian relaxation-based heuristic for the vehicle routing with full container load
Gonzalez-Feliu et al. The two-echelon capacitated vehicle routing problem
Lai et al. An heuristic search for the routing of heterogeneous trucks with single and double container loads
CN106803136A (en) A kind of fresh dispatching real-time optimization method based on genetic algorithm
Ravula et al. Comparison between two policy strategies for scheduling trucks in a biomass logistic system
CN110659839A (en) Intelligent logistics stowage scheduling method
Lei et al. Locating short-term empty-container storage facilities to support port operations: A user optimal approach
CN109214608A (en) A kind of vehicle scheduling optimization method
Cóccola et al. Toward integrated production and distribution management in multi-echelon supply chains
Prokudin et al. Application of information technologies for the optimization of itinerary when delivering cargo by automobile transport
CN106991495A (en) A kind of method and system of china railway unified organizational system freight trains grouping plan
Villarreal et al. Eliminating transportation waste in food distribution: a case study
CN110276583A (en) A kind of wisdom Features of Railway Logistics port, information processing system and information processing method
Daganzo A comparison of in-vehicle and out-of-vehicle freight consolidation strategies
Wong et al. A maritime container repositioning yield-based optimization model with uncertain upsurge demand
Kim et al. Strategic port management by consolidating container terminals
McKinnon A logistical perspective on the fuel efficiency of road freight transport
Bertazzi et al. The value of integration of full container load, less than container load and air freight shipments in vendor–managed inventory systems
Lewczuk et al. Transportation services costs allocation for the delivery system
Vélez-Gallego et al. Minimizing late deliveries in a truck loading problem
Lorin Cook et al. A framework for evaluating international physical distribution strategies
Savushkin Models of forming and processing packages of transport services
Nowicka-Skowron et al. Road transport management and innovations

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