CN108090601A - Food Cold Chain transportation service network robust Optimal methods - Google Patents
Food Cold Chain transportation service network robust Optimal methods Download PDFInfo
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- CN108090601A CN108090601A CN201611046225.6A CN201611046225A CN108090601A CN 108090601 A CN108090601 A CN 108090601A CN 201611046225 A CN201611046225 A CN 201611046225A CN 108090601 A CN108090601 A CN 108090601A
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- chain transportation
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- 235000013305 food Nutrition 0.000 title claims abstract description 108
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000005457 optimization Methods 0.000 claims abstract description 10
- 238000009826 distribution Methods 0.000 claims description 9
- 230000006870 function Effects 0.000 claims description 6
- 238000013461 design Methods 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
- 239000006185 dispersion Substances 0.000 claims 1
- 235000021393 food security Nutrition 0.000 abstract description 3
- 230000032258 transport Effects 0.000 description 28
- 238000005516 engineering process Methods 0.000 description 5
- 238000007726 management method Methods 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000004744 fabric Substances 0.000 description 2
- 235000013372 meat Nutrition 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 239000003242 anti bacterial agent Substances 0.000 description 1
- 229940088710 antibiotic agent Drugs 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 235000013365 dairy product Nutrition 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 235000013410 fast food Nutrition 0.000 description 1
- 235000015243 ice cream Nutrition 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012913 prioritisation Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 235000021067 refined food Nutrition 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0832—Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
Abstract
The present invention provides a kind of Food Cold Chain transportation service network robust Optimal methods, includes the following steps：S1, Food Cold Chain transportation service network model of the structure based on solitary wave；S2, dynamic configuration is carried out to food chain transport resource according to the Food Cold Chain transportation service network model based on solitary wave；S3, robust optimization is carried out to Food Cold Chain transportation service network based on extension science.Implement Food Cold Chain transportation service network robust Optimal methods provided by the invention to have the advantages that compared with prior art：The present invention can effectively ensure food security, reduce food because the loss that transport is gone bad.
Description
Technical field
The present invention relates to supply chain design technical field, more particularly to a kind of Food Cold Chain transportation service network robust optimization
Method.
Background technology
The applicable food scope of cold chain institute includes at present：Primary agricultural products：Veterinary antibiotics；Meat, fowl, egg；Aquatic products；Flowers
Product.Processed food：Quick-frozen food；Fowl, meat, aquatic products etc. pack prepared food；Ice cream and dairy produce；Fast food raw material.Specialty goods：
Drug.
Food Cold Chain is set up with the progress of science and technology, the development of Refrigeration Technique, is with refrigerating process
Based on, using Refrigeration Technique as means, logistics phenomenon under cryogenic.Therefore cold chain construction requirements are involved life
The various problems such as production, transport, sale, economic and technical put together consideration, coordinate mutual relation, to ensure easy saprophage
Safety of the product in processing, transport and sales process, it is a cryogenic system engineering with high-tech content.
Cold Chain Logistics should follow " 3T principles "：Product final mass depends on the storage of refrigerating chain and the time of circulation
(time), temperature (temperature) and product storability (tolerance)." 3T principles " indicates that chilled food quality is protected
Hold existing relation between permitted time and product temperature.Due to chilled food in circulation because when m- temperature experience
Caused by the accumulation that reduces of quality and irreversibility, therefore have accordingly to different product varietys and different quality requirements
The control of product and storage time technical-economic index.
China's Food Cold Chain transport resource utilization rate is low at present, and Food Cold Chain transportation service network wind resistance is dangerous weak, influences
Distribution time causes potential food safety hazards to occur.
The content of the invention
In view of this, the present invention proposes that one kind can overcome current China Food Cold Chain transport resource in existing design to utilize
Rate is low, and Food Cold Chain transportation service network wind resistance is dangerous weak, influences distribution time, causes potential food safety hazards that defect occurs
Food Cold Chain transportation service network robust Optimal methods.
The present invention provides a kind of Food Cold Chain transportation service network robust Optimal methods, includes the following steps：
S1, Food Cold Chain transportation service network model of the structure based on solitary wave；
S2, food chain transport resource is matched somebody with somebody into Mobile state according to the Food Cold Chain transportation service network model based on solitary wave
It puts；
S3, robust optimization is carried out to Food Cold Chain transportation service network based on extension science.
In Food Cold Chain transportation service network robust Optimal methods of the present invention,
The Food Cold Chain transportation service network model based on solitary wave is built in the step S1 to be included：
By carrying out space-time analysis to Food Cold Chain transportation network data on flows, solitary wave dynamic model is established, utilizes color
It dissipates management theory to analyze its boundary condition, obtains the self-trapping mechanism that Food Cold Chain transportation network solitary wave is formed, and build
Vertical GROSS-PITAEVSKII functions, and pass through reflection color method and function is solved, obtain Food Cold Chain transportation service net
Dynamic of the network flow in time dimension, space dimension isolates wave equation；And amendment is weighted to isolated wave equation, so as to be eaten
Product chain transportation service network traffics are in time dimension, the dynamic running law of space dimension, and then it is cold to build the food based on solitary wave
Chain transportation service network model.
In Food Cold Chain transportation service network robust Optimal methods of the present invention,
According to the Food Cold Chain transportation service network model based on solitary wave to food chain transport resource in the step S2
Carrying out dynamic configuration includes：
With reference to the Food Cold Chain transportation service network model based on solitary wave, and based on transportation service network size, transport
Saturation degree compared with demand of demand size and its physical distribution, transport capacity resource, fee structure, balance food enterprise, transport money
Source dynamic dispatching, the multi-party demand of consumer, for the transport resource in the Food Cold Chain transportation service network based on solitary wave point
Cloth assigns different weights；According to Food Cold Chain transportation service network traffics solitary wave moving law equation, arranged using quadrature phase
Team theory, the different weights possessed according to different type transport resource carry out transport money to Food Cold Chain transportation service network
From adaptation dynamic configuration.
In Food Cold Chain transportation service network robust Optimal methods of the present invention,
Robust optimization is carried out to Food Cold Chain transportation service network based on extension science in the step S3 includes：
Excavate and analyze the various uncertain factors in Food Cold Chain transportation service network, and the complicated confession based on extension science
Chain network Optimized model is answered, and combines and positions, the side that the dynamic dispatching on the basis of wireless communication technique and system emulation are combined
Method, so as to obtain Food Cold Chain Logistics distribution time and existing dispatching condition, transport resource utilization rate and network design reliability
Between contradiction solution.
Implement Food Cold Chain transportation service network robust Optimal methods provided by the invention compared with prior art have with
Lower advantageous effect：The present invention can effectively ensure food security, reduce food because the loss that transport is gone bad.
Description of the drawings
Fig. 1 is the Food Cold Chain transportation service network robust Optimal methods flow chart of the embodiment of the present invention.
Specific embodiment
As shown in Figure 1, the embodiment of the present invention, which provides the present invention, provides a kind of Food Cold Chain transportation service network robust optimization
Method includes the following steps：
S1, Food Cold Chain transportation service network model of the structure based on solitary wave；
S2, food chain transport resource is matched somebody with somebody into Mobile state according to the Food Cold Chain transportation service network model based on solitary wave
It puts；
S3, robust optimization is carried out to Food Cold Chain transportation service network based on extension science.
In Food Cold Chain transportation service network robust Optimal methods of the present invention,
The Food Cold Chain transportation service network model based on solitary wave is built in the step S1 to be included：
By carrying out space-time analysis to Food Cold Chain transportation network data on flows, solitary wave dynamic model is established, utilizes color
It dissipates management theory to analyze its boundary condition, obtains the self-trapping mechanism that Food Cold Chain transportation network solitary wave is formed, and build
Vertical GROSS-PITAEVSKII functions, and pass through reflection color method and function is solved, obtain Food Cold Chain transportation service net
Dynamic of the network flow in time dimension, space dimension isolates wave equation；And amendment is weighted to isolated wave equation, so as to be eaten
Product chain transportation service network traffics are in time dimension, the dynamic running law of space dimension, and then it is cold to build the food based on solitary wave
Chain transportation service network model.
Domestic at present still lack is analyzed and is excavated on Food Cold Chain transportation service network traffics dynamic running law, the present invention
By studying the typical solitary wave phenomenon of Food Cold Chain transportation service network traffics, its solitary wave dynamic model is established, utilizes color
It dissipates management theory and carries out data mining, find dynamic fortune of the Food Cold Chain transportation service network traffics on time dimension and space dimension
Professional etiquette is restrained.
In Food Cold Chain transportation service network robust Optimal methods of the present invention,
According to the Food Cold Chain transportation service network model based on solitary wave to food chain transport resource in the step S2
Carrying out dynamic configuration includes：
With reference to the Food Cold Chain transportation service network model based on solitary wave, and based on transportation service network size, transport
Saturation degree compared with demand of demand size and its physical distribution, transport capacity resource, fee structure, balance food enterprise, transport money
Source dynamic dispatching, the multi-party demand of consumer, for the transport resource in the Food Cold Chain transportation service network based on solitary wave point
Cloth assigns different weights；According to Food Cold Chain transportation service network traffics solitary wave moving law equation, arranged using quadrature phase
Team theory, the different weights possessed according to different type transport resource carry out transport money to Food Cold Chain transportation service network
From adaptation dynamic configuration.
Still lack Food Cold Chain transport resource Dynamic Configuration both at home and abroad at present, the present invention is based on Food Cold Chain transports to take
The dynamic space-time moving law for network traffics of being engaged in, it is theoretical using Collaborative Control, it is cooperateed with and selected according to Food Cold Chain Logistics transport resource
Select pattern；With quadrature phase queuing theory, on the premise of timely distribution time is ensured, according to aviation, railway, highway, water
The respective different weights of road transport resource, carry out dynamic configuration according to the network traffic load of Food Cold Chain transportation service, realize food
The adaptive dynamic configuration of cold chain transportation resource.
In Food Cold Chain transportation service network robust Optimal methods of the present invention,
Robust optimization is carried out to Food Cold Chain transportation service network based on extension science in the step S3 includes：
Excavate and analyze the various uncertain factors in Food Cold Chain transportation service network, and the complicated confession based on extension science
Chain network Optimized model is answered, and combines and positions, the side that the dynamic dispatching on the basis of wireless communication technique and system emulation are combined
Method, so as to obtain Food Cold Chain Logistics distribution time and existing dispatching condition, transport resource utilization rate and network design reliability
Between contradiction solution.
In embodiments of the present invention, by location technology, information technology and prioritization scheme, based on extension theory, knot
Dynamic dispatching and emulation technology are closed, as the method for Food Cold Chain transportation service network reply uncertain factor, can ensure to eat
The safety of product reduces food because transporting rotten loss.
Implement Food Cold Chain transportation service network robust Optimal methods provided by the invention compared with prior art have with
Lower advantageous effect：The present invention can effectively ensure food security, reduce food because the loss that transport is gone bad.
It can directly be held with reference to the step of method or algorithm that the embodiments described herein describes with hardware, processor
The combination of capable software module or the two is implemented.Software module can be placed in random access memory, memory, read-only memory,
Institute is public in electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field
In the storage medium for the arbitrary other forms known.
It is understood that for those of ordinary skill in the art, it can be conceived with the technique according to the invention and done
Go out other various corresponding changes and deformation, and all these changes and deformation should all belong to the protection model of the claims in the present invention
It encloses.
Claims (4)
1. a kind of Food Cold Chain transportation service network robust Optimal methods, which is characterized in that it includes the following steps：
S1, Food Cold Chain transportation service network model of the structure based on solitary wave；
S2, dynamic configuration is carried out to food chain transport resource according to the Food Cold Chain transportation service network model based on solitary wave；
S3, robust optimization is carried out to Food Cold Chain transportation service network based on extension science.
2. Food Cold Chain transportation service network robust Optimal methods as described in claim 1, which is characterized in that
The Food Cold Chain transportation service network model based on solitary wave is built in the step S1 to be included：
By carrying out space-time analysis to Food Cold Chain transportation network data on flows, solitary wave dynamic model is established, utilizes dispersion pipe
Reason theory analyzes its boundary condition, obtains the self-trapping mechanism that Food Cold Chain transportation network solitary wave is formed, and establishes
GROSS-PITAEVSKII functions, and pass through reflection color method and function is solved, obtain Food Cold Chain transportation service network
Dynamic of the flow in time dimension, space dimension isolates wave equation；And amendment is weighted to isolated wave equation, so as to obtain food
Chain transportation service network traffics build the Food Cold Chain based on solitary wave in time dimension, the dynamic running law of space dimension
Transportation service network model.
3. Food Cold Chain transportation service network robust Optimal methods as claimed in claim 2, which is characterized in that
Food chain transport resource is carried out according to the Food Cold Chain transportation service network model based on solitary wave in the step S2
Dynamic configuration includes：
With reference to the Food Cold Chain transportation service network model based on solitary wave, and based on transportation service network size, transportation demand
Saturation degree compared with demand of size and its physical distribution, transport capacity resource, fee structure, balance food enterprise, transport resource move
State scheduling, the multi-party demand of consumer, are distributed for the transport resource in the Food Cold Chain transportation service network based on solitary wave and assign
Give different weights；According to Food Cold Chain transportation service network traffics solitary wave moving law equation, it is lined up and is managed using quadrature phase
By the different weights possessed according to different type transport resource carry out Food Cold Chain transportation service network transport resource certainly
Adapt to dynamic configuration.
4. Food Cold Chain transportation service network robust Optimal methods as claimed in claim 3, which is characterized in that
Robust optimization is carried out to Food Cold Chain transportation service network based on extension science in the step S3 includes：
Excavate and analyze the various uncertain factors in Food Cold Chain transportation service network, and the complicated supply chain based on extension science
Network Optimization Model, and combine and position, the method that the dynamic dispatching on the basis of wireless communication technique and system emulation are combined, from
And it obtains between Food Cold Chain Logistics distribution time and existing dispatching condition, transport resource utilization rate and network design reliability
The solution of contradiction.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201611046225.6A CN108090601B (en) | 2016-11-22 | 2016-11-22 | Robust optimization method for food cold chain transportation service network |
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| CN201611046225.6A CN108090601B (en) | 2016-11-22 | 2016-11-22 | Robust optimization method for food cold chain transportation service network |
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| CN108090601A true CN108090601A (en) | 2018-05-29 |
| CN108090601B CN108090601B (en) | 2021-06-29 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111695222A (en) * | 2020-05-25 | 2020-09-22 | 智强通达科技（北京）有限公司 | Finished oil reserve optimization method and decision-making assisting system based on cost limitation |
| TWI769928B (en) * | 2021-09-24 | 2022-07-01 | 國立陽明交通大學 | System reliability evaluation method for food online delivery system |
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| CN104346710A (en) * | 2013-08-05 | 2015-02-11 | 郑州同心创远生物科技有限公司 | Food-logistics supply-chain model |
| CN106054778A (en) * | 2016-07-22 | 2016-10-26 | 北京农业信息技术研究中心 | Cold chain transportation process intelligent monitoring sampling method and device and cold chain vehicle |
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2016
- 2016-11-22 CN CN201611046225.6A patent/CN108090601B/en active Active
Patent Citations (3)
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|---|---|---|---|---|
| CN102566422A (en) * | 2011-12-07 | 2012-07-11 | 中国电力科学研究院 | Robust fault detection method in nonlinear dynamic network synchronization |
| CN104346710A (en) * | 2013-08-05 | 2015-02-11 | 郑州同心创远生物科技有限公司 | Food-logistics supply-chain model |
| CN106054778A (en) * | 2016-07-22 | 2016-10-26 | 北京农业信息技术研究中心 | Cold chain transportation process intelligent monitoring sampling method and device and cold chain vehicle |
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| Title |
|---|
| XING XU等: "Study on optimization of the food cold chain transportation service network based on the extenics", 《INT.J. OF WIRELESS AND MOBILE COMPUTING》 * |
| 王涛: "基于格子流体力学模型的交通流建模及仿真研究", 《中国博士学位论文全文数据库 工程科技II辑》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111695222A (en) * | 2020-05-25 | 2020-09-22 | 智强通达科技（北京）有限公司 | Finished oil reserve optimization method and decision-making assisting system based on cost limitation |
| CN111695222B (en) * | 2020-05-25 | 2023-08-04 | 智强通达科技（北京）有限公司 | Finished oil storage optimization method based on cost limitation and auxiliary decision-making system |
| TWI769928B (en) * | 2021-09-24 | 2022-07-01 | 國立陽明交通大學 | System reliability evaluation method for food online delivery system |
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