CN109636002A - A kind of site selecting method and system of the Cold Chain Logistics home-delivery center based on goods damage - Google Patents
A kind of site selecting method and system of the Cold Chain Logistics home-delivery center based on goods damage Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000013178 mathematical model Methods 0.000 claims abstract description 6
- 238000009826 distribution Methods 0.000 claims description 20
- 238000002791 soaking Methods 0.000 claims description 17
- 238000004458 analytical method Methods 0.000 claims description 13
- 238000005057 refrigeration Methods 0.000 claims description 13
- 238000005265 energy consumption Methods 0.000 claims description 11
- 238000003860 storage Methods 0.000 claims description 11
- 238000010276 construction Methods 0.000 claims description 8
- 238000001816 cooling Methods 0.000 claims description 7
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- 238000004519 manufacturing process Methods 0.000 claims description 6
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Abstract
The site selecting method and system of the invention discloses a kind of Cold Chain Logistics home-delivery center based on goods damage, method includes: the alternative point that several addresses are chosen in target area as home-delivery center;Determine supplier to each home-delivery center and each home-delivery center to the traffic condition of each demand point;Goods damage cost is determined according to traffic condition, the Logistics Total Cost including the goods damage cost is input in mathematical model, and site selection model is constructed as condition lower than predetermined value using Logistics Total Cost;The site selection model is solved using simulation software, exports the addressing result of home-delivery center.The present invention is based on the traffic conditions of kinds of goods, and it will be including goods damage cost consideration, constructing a target is the site selection model that Logistics Total Cost minimizes, so that the addressing of Cold Chain Logistics home-delivery center is more true reasonable, help to go out optimal address for Distribution center selection, to reduce the cost of entire logistics progress.
Description
Technical field
The present invention relates to Location Selection of Logistics Distribution Center technical fields, and in particular to a kind of Cold Chain Logistics dispatching based on goods damage
The site selecting method and system at center.
Background technique
In recent years, national Cold Chain Logistics industry development is rapid, maintains average annual 25% growth rate.China's cold chain is built at present
If very not perfect, third party's Cold Chain Logistics are still undeveloped, and cold chain distribution level is not high, lead to agricultural production, fresh class product stream
Cost accounts for relatively high, has accounted for 40% or more of fresh electric business unit price at present, the profit for having kept fresh electric business in check is broken through.It is related
Statistical data shows, China's Cold Chain Circulation rate is low, weak foundation, and less than developed country 1/5, the kinds of goods proportion of goods damageds are average cold chain rate
4 times of developed country or more, cold storage capacity is only the 1/4 of the U.S. per capita, and the ratio that refrigerator car accounts for goods vehicle is only 0.3% left side
The right side, the far behind 1%-3% of developed country.Meanwhile the layout of current traditional Cold Chain Logistics home-delivery center, China exists
Problems greatly affected the speed and quality of fresh products in circulation.The reasonable plant-site selection of Cold Chain Logistics home-delivery center for
It is most important to improve Current Logistic Situation, control logistics distribution cost.Therefore, Cold Chain Logistics Location of Distribution Centre problem becomes in recent years
Research hotspot.
Although more and more domestic and foreign scholars have started to spread out the relevant research of Cold Chain Logistics, and match in Cold Chain Logistics
Center location research is sent to achieve many achievements, but current Cold Chain Logistics Location of Distribution Centre research is concentrated mainly on transport
Cost, dispatching timeliness and level of customer service.The research of food goods damage is also lacked very much, and in Cold Chain Logistics, food
The addressing of goods damage and home-delivery center has close relationship, the unreasonable goods damage situation that will directly increase food of addressing.
Therefore, the existing technology needs to be improved and developed.
Summary of the invention
The technical problem to be solved in the present invention is that in view of the above drawbacks of the prior art, provide a kind of based on goods damage
The site selecting method and system of Cold Chain Logistics home-delivery center, it is intended to solve in the prior art Cold Chain Logistics Location of Distribution Centre will not
In view of goods damage situation.
The technical proposal for solving the technical problem of the invention is as follows:
A kind of site selecting method of the Cold Chain Logistics home-delivery center based on goods damage, wherein the described method includes:
Alternative point of several addresses as home-delivery center is chosen in target area;
Determine supplier to each home-delivery center and each home-delivery center to the traffic condition of each demand point;
Goods damage cost is determined according to traffic condition, and the Logistics Total Cost including the goods damage cost is input to number
It learns in model, and site selection model is constructed as condition lower than predetermined value using Logistics Total Cost;
The site selection model is solved using simulation software, exports the addressing result of home-delivery center.
The site selecting method of the Cold Chain Logistics home-delivery center based on goods damage, wherein the method also includes:
Verifying analysis is carried out to the site selection model using simulation software, analyzes parameters in site selection model to matching
Send the addressing result and the influence of Logistics Total Cost at center.
The site selecting method of the Cold Chain Logistics home-delivery center based on goods damage, wherein the traffic condition includes: supply
Quotient to the haulage vehicle between each home-delivery center energy consumption for cooling, and dispatching stage incubator in soaking time.
The site selecting method of the Cold Chain Logistics home-delivery center based on goods damage, wherein the goods damage cost needs to consider
The rate that kinds of goods addle;The rate that the kinds of goods addle is related with the soaking time in dispatching stage incubator.
The site selecting method of the Cold Chain Logistics home-delivery center based on goods damage, wherein the Logistics Total Cost includes: fortune
Defeated expense, the energy consumption for cooling of transport vehicle amount, food goods damage cost, heat preservation ice bag refrigeration cost, home-delivery center's storehouse management expense,
Home-delivery center's construction cost and storage refrigeration cost.
The site selecting method of the Cold Chain Logistics home-delivery center based on goods damage, wherein the site selection model is 0-1 integer
Nonlinear programming Model.
The site selecting method of the Cold Chain Logistics home-delivery center based on goods damage, wherein the site selection model are as follows:
Wherein,
xij≥0,yjk>=0, i=1,2,3...M;J=1,2,3...N;K=1,2,3...P (11)
ljk=0 or 1, zj=0 or 1, j=1...N (12);
Formula (1) indicates supplier i to the goods weight of each home-delivery center within its production capacity;Formula (2) indicates
The capacity limit of home-delivery center;Formula (3) indicates the customer demand of the supply of goods meet demand point k of each home-delivery center;Formula (4)
Indicate that the cargo that each home-delivery center receives is equal to the cargo issued;Formula (5) indicates to guarantee at least to establish a home-delivery center;Formula
(6) indicate the home-delivery center established no more than p;Formula (7) indicates that each client is only supplied by a home-delivery center;Formula
(8) indicate that centainly there is its corresponding dispatching client in home-delivery center, it is selected without the feelings of client that there is no logistics distribution centers
Condition;The relationship that formula (9), formula (10) indicate freight volume and alternatively put;Formula (11), formula (12) indicate the constraint to parameter value;
Wherein, Q indicates Logistics Total Cost;M indicates supplier's number;N indicates alternative home-delivery center's number;P indicates to need
Seek number a little;xijIndicate the freight volume of supplier i to home-delivery center j;yjkIndicate the freight volume of distribution point j to demand point k;h
Indicate haulage stage unit cost;H' indicates dispatching stage unit transportation cost;rijExpression refers to supplier i to distribution point j
Distance;sjkIndicate the distance of home-delivery center j to demand point k;AiIndicate the production capacity of supplier i;ojIndicate home-delivery center j
The dispatching upper limit;DkIndicate the customer demand of demand point k;V expression refers to supplier to the fixed vehicle speed of home-delivery center;V' is indicated
Fixed vehicle speed of the finger home-delivery center to demand point;The specified cargo dead-weight of a expression bulk transport vehicle;B indicates dispatching stage crisper
Capacity;D indicates the cost of a crisper;W indicates unit time in haulage stage vehicle refrigeration energy consumption cost;The fresh expression of q
The unit price of fresh product;C indicates home-delivery center's fixed maintenance cost;gjIndicate warehouse j to the unit management expense of cargo;fjTable
Show construction of warehouse expense;zjIt is expressed as 0-1 integer variable;ljkIt indicates whether to select the dispatching route;L indicate one it is sufficiently large
Number.
The site selecting method of the Cold Chain Logistics home-delivery center based on goods damage, wherein described to utilize simulation software to institute
It states site selection model and carries out verifying analysis, analyze the parameters in site selection model to the addressing result and logistics of home-delivery center
The step of influence of totle drilling cost, comprising:
Using simulation software in the site selection model the velocity coefficient that addles, customer demand, transport vehicle cargo dead-weight with
And the soaking time in dispatching stage incubator carries out sensitivity analysis, obtains the velocity coefficient that addles, customer demand, transport vehicle
Influence of the soaking time to addressing result and Logistics Total Cost in cargo dead-weight and dispatching stage incubator.
A kind of site selection system of the Cold Chain Logistics home-delivery center based on described in any of the above embodiments based on goods damage, wherein institute
The system of stating includes:
Modulus block alternatively is clicked, for choosing alternative point of several addresses as home-delivery center in target area;
Traffic condition determining module, for determining supplier to each home-delivery center and each home-delivery center to each need
Seek traffic condition a little;
Site selection model constructs module, will include that the goods damage cost exists for determining goods damage cost according to traffic condition
Interior Logistics Total Cost is input in mathematical model, and constructs site selection model with the minimum condition of Logistics Total Cost;
Addressing result output module exports home-delivery center for solving using simulation software to the site selection model
Addressing result.
The site selection system of the Cold Chain Logistics home-delivery center based on goods damage, wherein the system also includes:
It verifies analysis module and analyzes addressing mould for carrying out verifying analysis to the site selection model using simulation software
Parameters in type are to the addressing result of home-delivery center and the influence of Logistics Total Cost.
Beneficial effects of the present invention: the present invention is based on the traffic conditions of kinds of goods, and by including goods damage cost consideration, construct
One target is the site selection model that Logistics Total Cost minimizes, so that the addressing of Cold Chain Logistics home-delivery center is more true reasonable,
Help to go out optimal address for Distribution center selection, to reduce the cost of entire logistics progress.
Detailed description of the invention
Fig. 1 is the process of the preferred embodiment of the site selecting method of the Cold Chain Logistics home-delivery center of the invention based on goods damage
Figure.
Fig. 2 is the functional block diagram of the site selection system of the Cold Chain Logistics home-delivery center of the invention based on goods damage.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer and more explicit, right as follows in conjunction with drawings and embodiments
The present invention is further described.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and do not have to
It is of the invention in limiting.
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Below
Description only actually at least one exemplary embodiment be it is illustrative, never as to the present invention and its application or make
Any restrictions.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Under every other embodiment obtained, shall fall within the protection scope of the present invention.
The site selecting method of the present embodiment provides a kind of Cold Chain Logistics home-delivery center based on goods damage, it is as shown in fig. 1, described
Method includes:
Step S100, alternative point of several addresses as home-delivery center is chosen in target area;
Step S200, determine supplier to each home-delivery center and each home-delivery center to the transport item of each demand point
Part;
Step S300, goods damage cost is determined according to traffic condition, by the logistics assembly including the goods damage cost
Originally it is input in mathematical model, and site selection model is constructed as condition lower than predetermined value using Logistics Total Cost;
Step S400, the site selection model is solved using simulation software, exports the addressing result of home-delivery center.
The network of Cold Chain Logistics is generally divided into three-level, including several suppliers, home-delivery center and demand point.Fresh product
Freezer first near supplier is pre-chilled, and then carries out long-distance Refrigerated Transport toward home-delivery center by large-scale refrigerator car,
After home-delivery center carries out processing transfer, cold-storage delivery finally is carried out from home-delivery center toward demand point.Due to the life of different categories
The requirement that fresh product transports the storage and transportations such as temperature, humidity, time is different, therefore the present invention is just for the fresh product of certain category,
Its Cold Chain Logistics network of research and establishment.And the building of Cold Chain Logistics network mainly considers following problems: how to determine home-delivery center
Quantity and position and supplier to home-delivery center, home-delivery center to demand freight volume so that the object of Cold Chain Logistics running
It is minimum to flow totle drilling cost.Here, the Logistics Total Cost of Logistics Operation includes the construction cost of home-delivery center, transfer cost, transport
The refrigeration cost of delivery process and transportation cost, the goods damage cost of fresh product.Meanwhile in the logistics network for constructing fresh product
When, it be in view of factors such as the availability of supplier, the product demand in market, the storage capacitys of home-delivery center.As it can be seen that cold chain
The addressing of home-delivery center has with many factors and contacts in the presence of close in logistics network.
Specifically, multiple addresses are chosen on the map of target area as the alternative of home-delivery center first in the present embodiment
Point, since fresh product cargo is during transit link, if traffic condition is relatively good, goods damage situation is relatively fewer, at present
Goods damage occur mainly in dispatching link.Therefore it needs to be determined that supplier is to each home-delivery center and each matches in the present embodiment
Send center to the traffic condition of each demand point.Preferably, traffic condition specifically includes that supplier between each home-delivery center
Haulage vehicle energy consumption for cooling, and dispatching stage incubator in soaking time.After determination knows traffic condition, just
The goods damage situation in transport and delivery process that can determine cargo, so that it is determined that goods damage cost out.
In the present embodiment, the goods damage cost of cargo needs to consider the rate that kinds of goods addle;The rate that the kinds of goods addle
It is related with the soaking time in dispatching stage incubator.Specifically, due to having addled since fresh product is in storage and transport process
Part other intact parts can be impacted, so the rate that kinds of goods addle can be more next with the growth of storage and transportation time
Faster, the growth of exponential type can be presented in the rate that addles.In the problem of fresh product cold chain transportation is studied, Allan Buddhist nun is generallyd use
This black formula (Arrhenius equation) indicates the rates that addles of kinds of goods, as follows: Q (t)=Q0e-θt,
Wherein Q0It is quality when cargo does not addle also at the beginning, Q (t) is the quality of cargo t moment, and θ indicates transport way
The velocity coefficient that addles of middle cargo.
Further, due to having certain Insulation in dispatching link, goods damage will not be generated early period.But with the time
Passage, after ice melting in incubator, cargo will addle.Therefore, in order to more precisely embody the corruption of cargo
Bad situation assumes that the time ice melting in dispatching stage incubator is t'(soaking time in the present embodiment).To the rate that addles
Coefficient θ segmentation consideration, such as:
According to above-mentioned formula, when the time time t of cargo transport ice melting in incubator is within t', cargo
Addle velocity coefficient θ be 0, i.e. cargo does not addle substantially.And melt when the time t of cargo transport is greater than ice cube in incubator
When the time of change is t', then the velocity coefficient θ that addles of cargo is a, then according to the formula of the above-mentioned rate that addles it is found that cargo can be sent out
Life is significantly addled, and as the time elapses again backward, the degree of addling can be more serious.
The present embodiment obtains the goods damage situation of cargo based on the rate that addles of cargo, and obtains goods damage cost.It is selected in building
Goods damage cost is also taken into account when the model of location, to construct more reasonable site selection model.
Further, in this embodiment site selection model be to be constructed lower than predetermined value as condition using Logistics Total Cost.
It preferably, is that model is constructed using the minimum condition of Logistics Total Cost in practical application.In addition to packet in the Logistics Total Cost
Include other than goods damage cost, further includes: freight, the energy consumption for cooling of transport vehicle amount, food goods damage cost, heat preservation ice bag refrigeration at
Originally, home-delivery center's storehouse management expense, home-delivery center's construction cost and storage refrigeration cost.
Constructed site selection model in the present embodiment are as follows:
Wherein,
xij≥0,yjk>=0, i=1,2,3...M;J=1,2,3...N;K=1,2,3...P (11)
ljk=0 or 1, zj=0 or 1, j=1...N (12);
Formula (1) indicates supplier i to the goods weight of each home-delivery center within its production capacity;Formula (2) indicates
The capacity limit of home-delivery center;Formula (3) indicates the customer demand of the supply of goods meet demand point k of each home-delivery center;Formula (4)
Indicate that the cargo that each home-delivery center receives is equal to the cargo issued;Formula (5) indicates to guarantee at least to establish a home-delivery center;Formula
(6) indicate the home-delivery center established no more than p;Formula (7) indicates that each client is only supplied by a home-delivery center;Formula
(8) indicate that centainly there is its corresponding dispatching client in home-delivery center, it is selected without the feelings of client that there is no logistics distribution centers
Condition;The relationship that formula (9), formula (10) indicate freight volume and alternatively put;Formula (11), formula (12) indicate the constraint to parameter value;
Wherein, Q indicates Logistics Total Cost;M indicates supplier's number;N indicates alternative home-delivery center's number;P indicates to need
Seek number a little;xijIndicate the freight volume of supplier i to home-delivery center j;yjkIndicate the freight volume of distribution point j to demand point k;h
Indicate haulage stage unit cost;H' indicates dispatching stage unit transportation cost;rijExpression refers to supplier i to distribution point j
Distance;sjkIndicate the distance of home-delivery center j to demand point k;AiIndicate the production capacity of supplier i;ojIndicate home-delivery center j
The dispatching upper limit;DkIndicate the customer demand of demand point k;V expression refers to supplier to the fixed vehicle speed of home-delivery center;V' is indicated
Fixed vehicle speed of the finger home-delivery center to demand point;The specified cargo dead-weight of a expression bulk transport vehicle;B indicates dispatching stage crisper
Capacity;D indicates the cost of a crisper;W indicates unit time in haulage stage vehicle refrigeration energy consumption cost;The fresh expression of q
The unit price of fresh product;C indicates home-delivery center's fixed maintenance cost;gjIndicate warehouse j to the unit management expense of cargo;fjTable
Show construction of warehouse expense;zjIt is expressed as 0-1 integer variable;ljkIt indicates whether to select the dispatching route;L indicate one it is sufficiently large
Number.
Constructed site selection model out is 0-1 Integral nonlinear program-ming model in the present embodiment, and the right of equation is distinguished
Indicate freight, transport vehicle energy consumption for cooling, food goods damage cost, heat preservation ice bag refrigeration cost, home-delivery center's storehouse management expense
With home-delivery center's construction cost and storage refrigeration cost.After constructing the site selection model, using simulation software to institute
It states site selection model and is programmed resolving, find out globally optimal solution, which is the addressing result of home-delivery center.Preferably,
Using Lingo software, (Lingo software can be used for solving Non-Linear Programming, and execution speed is very fast, be to solve in the present embodiment
The optimal selection of Optimized model) site selection model is solved.For example, alternative logistics distribution center address has 7,3 confessions
Quotient is answered to supply for it, 40 clients need product (i.e. demand point is 40), need to select 3 alternative points and match to establish logistics
Center is sent, the setting of relevant parameter is as follows:
Haulage stage unit cost h=0.3;Dispense stage unit transportation cost h'=0.5;When haulage stage unit
Between vehicle refrigeration energy consumption cost w=39.2;Fixed vehicle speed v=60 of the supplier to home-delivery center;Home-delivery center arrives demand point
Fixed vehicle speed v'=20;The specified cargo dead-weight a=200 of bulk transport vehicle;The capacity b=10 of dispatching stage crisper;Fresh-keeping ice
The cost d=10 of bag;The monovalent q=50 of fresh product;It addles velocity coefficient θ=0.3;Total customer demand is 471, specific every
The customer demand of a client is set at random.Parameter is substituted into the site selection model of building, recycles Lingo software to the example
It is solved, by 17068 step iteration, show that addressing result is 1,3, No. 4 alternative point, and minimum Logistics Total Cost is
5137.6。
Further, in order to understand influence of each parameter to Cold Chain Logistics Location of Distribution Centre in model, we are to model
In parameter carry out verifying analysis.Specifically, in the present embodiment using simulation software to the rate that addles in the site selection model
Soaking time in coefficient, customer demand, transport vehicle cargo dead-weight and dispatching stage incubator carries out sensitivity analysis, obtains
The soaking time to addle in velocity coefficient, customer demand, transport vehicle cargo dead-weight and dispatching stage incubator is to addressing result
Influence.It makes a concrete analysis of as follows:
(1) spoilage rate coefficient θ is analyzed
Since the rate difference that addles of variety classes kinds of goods, such as the freezing aquatic product product rate that addles are very fast, the agricultural productions such as vegetables
The product rate that addles is slower.Spoilage rate coefficient θ is now taken into different values, to analyze the variation with spoilage rate coefficient θ, logistics
The situation of change of totle drilling cost.To obtain influence of the spoilage rate coefficient to fresh product delivery center location strategy.According to this
Text it is assumed that spoilage rate coefficient θ will lead to the loss of fresh product in transportational process.Therefore spoilage rate coefficient θ is to fresh
The Location of Distribution Centre of product Cold Chain Logistics has important influence, as shown in table 1.
Table 1 addles influence of the velocity coefficient θ to Location of Distribution Centre
As shown in Table 1, the type of cargo, the difference of traffic condition, caused velocity coefficient θ variation of addling, with loss
Rate is continuously increased, and the totle drilling cost of Location of Distribution Centre is also constantly becoming larger.When the velocity coefficient θ that addles is 0.15 < θ < 0.25, match
Cost (removing goods damage) is sent to be gradually increased.As spoilage rate coefficient θ > 0.25, distribution cost (removing goods damage) is begun to decline, and is transported
Defeated cost is begun to ramp up, and the average dispatching distance of unit commodity is reduced, and the average transportation range of unit commodity increases, and supplier arrives
Home-delivery center's distance reduces, and the addressing of home-delivery center is closer to client.And when addressing scheme is identical (such as addressing result be 1,
4,7 when), goods damage cost with spoilage rate coefficient θ increase and increase.
(2) sensitivity analysis of customer demand
The demand of a client not instead of definite value, the variation of fluctuation is presented with the difference in month.Now setting is each
The customer demand of client's different times sums the demand of each client to obtain total customer demand of home-delivery center, then
Variation of the analysis with the total customer demand of home-delivery center, the situation of change of Location of Distribution Centre position, as shown in table 2.
Influence of 2 customer demand of table to Location of Distribution Centre
As can be drawn from Table 2, with the increase of customer demand, the addressing of home-delivery center can select closer apart from client
Alternative point.
(3) sensitivity analysis of transport vehicle cargo dead-weight
According to the above solving result, the present embodiment has chosen at present the refrigerator car of more typical different size model on the market
It is compared, analyzes its influence to Logistics Total Cost.Related data and solving result are shown in Table 3, table 4.
3 refrigerator car data decimation of table
Influence of the 4 transport vehicle cargo dead-weight of table to Logistics Total Cost
It can be seen from Table 4 that being suitable for being transported using small-sized refrigerator car, at this time when client's aggregate demand is smaller
Logistics Total Cost is lower;When client's aggregate demand is larger, be suitable for large size refrigerator car transported, at this time Logistics Total Cost compared with
It is low.
(4) sensitivity analysis of the soaking time t' in stage incubator is dispensed
Assume that the goods delivery stage uses packed in cases and ice bag Insulation in the present embodiment, the soaking time of kinds of goods has
Limit.During goods delivery, as ice cube gradually melts in carton, storage and transportation temperature is constantly increased, after ice cube melts completely, goods
Object starts to addle.We have chosen heat preservation ice bag common on the market, and the cost of a heat preservation ice bag is 0.5 yuan/, and capacity is
600ml, can be Reusability about 100 times, and ice making cost is 300 yuan/ton.The ice bag that different number is put into carton is arranged in we,
So as to cause different soaking time t', its influence to Logistics Total Cost is analyzed.
Table 5 dispenses influence of the stage soaking time to Logistics Total Cost
It can be seen that by the data of table 5 at the beginning with the increase for being put into ice bag, Logistics Total Cost is presented decline and becomes
Gesture, but after ice bag quantity reaches certain amount, with the increase of ice bag and ice making cost, Logistics Total Cost, which presents to rise, to become
Gesture.
Further, based on the above embodiment, the present invention also provides a kind of Cold Chain Logistics home-delivery center based on goods damage
Site selection system, as shown in Figure 2, the site selection system includes:
Modulus block 210 alternatively is clicked, for choosing alternative point of several addresses as home-delivery center in target area;
Traffic condition determining module 220, for determining supplier to each home-delivery center and each home-delivery center to respectively
The traffic condition of a demand point;
It will include the goods damage cost that site selection model, which constructs module 230 for determining goods damage cost according to traffic condition,
Totle drilling cost inside is input in mathematical model, and constructs site selection model by condition of the lowest cost;
Addressing result output module 240, for being solved using simulation software to the site selection model, in output dispatching
The addressing result of the heart;
It verifies analysis module 250 and analyzes addressing for carrying out verifying analysis to the site selection model using simulation software
The influence of parameters in model to the addressing result of home-delivery center.
Principle and its effect in the present embodiment between each functional module are referred to above method embodiment, herein not
Tired state is carried out again.
In conclusion the site selecting method and system of the present invention provides a kind of Cold Chain Logistics home-delivery center based on goods damage,
Method includes: the alternative point that several addresses are chosen in target area as home-delivery center;Determine supplier to each dispatching
The traffic condition of center and each home-delivery center to each demand point;Goods damage cost is determined according to traffic condition, will include
Logistics Total Cost including the goods damage cost is input in mathematical model, and constructs choosing with the minimum condition of Logistics Total Cost
Location model;The site selection model is solved using simulation software, exports the addressing result of home-delivery center.The present invention is based on goods
The traffic condition of product, and including goods damage cost consideration, will construct a target is the site selection model that Logistics Total Cost minimizes,
So that the addressing of Cold Chain Logistics home-delivery center is more true rationally to be helped to go out optimal address for Distribution center selection, thus
Reduce the cost of entire logistics progress.
It should be understood that the application of the present invention is not limited to the above for those of ordinary skills can
With improvement or transformation based on the above description, all these modifications and variations all should belong to the guarantor of appended claims of the present invention
Protect range.
Claims (10)
1. a kind of site selecting method of the Cold Chain Logistics home-delivery center based on goods damage, which is characterized in that the described method includes:
Alternative point of several addresses as home-delivery center is chosen in target area;
Determine supplier to each home-delivery center and each home-delivery center to the traffic condition of each demand point;
Goods damage cost is determined according to traffic condition, and the Logistics Total Cost including the goods damage cost is input to mathematical modulo
In type, and site selection model is constructed as condition lower than predetermined value using Logistics Total Cost;
The site selection model is solved using simulation software, exports the addressing result of home-delivery center.
2. the site selecting method of the Cold Chain Logistics home-delivery center according to claim 1 based on goods damage, which is characterized in that described
Method further include:
Verifying analysis is carried out to the site selection model using simulation software, analyzes the parameters in site selection model in dispatching
The addressing result of the heart and the influence of Logistics Total Cost.
3. the site selecting method of the Cold Chain Logistics home-delivery center according to claim 1 based on goods damage, which is characterized in that described
Traffic condition includes: energy consumption for cooling of the supplier to the haulage vehicle between each home-delivery center, and dispatching stage incubator
Interior soaking time.
4. the site selecting method of the Cold Chain Logistics home-delivery center according to claim 1 based on goods damage, which is characterized in that described
Goods damage cost needs to consider the rate that kinds of goods addle;The soaking time in rate and dispatching stage incubator that the kinds of goods addle
It is related.
5. the site selecting method of the Cold Chain Logistics home-delivery center according to claim 1 based on goods damage, which is characterized in that described
Logistics Total Cost includes: freight, the energy consumption for cooling of transport vehicle amount, food goods damage cost, heat preservation ice bag refrigeration cost, dispatching
Central warehouse administration fee, home-delivery center's construction cost and storage refrigeration cost.
6. the site selecting method of the Cold Chain Logistics home-delivery center according to claim 1 based on goods damage, which is characterized in that described
Site selection model is 0-1 Integral nonlinear program-ming model.
7. the site selecting method of the Cold Chain Logistics home-delivery center according to claim 6 based on goods damage, which is characterized in that described
Site selection model are as follows:
Wherein,
xij≥0,yjk>=0, i=1,2,3...M;J=1,2,3...N;K=1,2,3...P (11)
ljk=0 or 1, zj=0 or 1, j=1...N (12);
Formula (1) indicates supplier i to the goods weight of each home-delivery center within its production capacity;Formula (2) indicates dispatching
The capacity limit at center;Formula (3) indicates the customer demand of the supply of goods meet demand point k of each home-delivery center;Formula (4) indicates
The cargo that each home-delivery center receives is equal to the cargo issued;Formula (5) indicates to guarantee at least to establish a home-delivery center;Formula (6)
Indicate the home-delivery center established no more than p;Formula (7) indicates that each client is only supplied by a home-delivery center;Formula (8)
The case where indicating that centainly there is its corresponding dispatching client in home-delivery center, being selected there is no logistics distribution center without client;
The relationship that formula (9), formula (10) indicate freight volume and alternatively put;Formula (11), formula (12) indicate the constraint to parameter value;
Wherein, Q indicates Logistics Total Cost;M indicates supplier's number;N indicates alternative home-delivery center's number;P indicates demand point
Number;xijIndicate the freight volume of supplier i to home-delivery center j;yjkIndicate the freight volume of distribution point j to demand point k;H is indicated
Haulage stage unit cost;H' indicates dispatching stage unit transportation cost;rijIndicate refer to supplier i to distribution point j away from
From;sjkIndicate the distance of home-delivery center j to demand point k;AiIndicate the production capacity of supplier i;ojIndicate matching for home-delivery center j
Serve limit;DkIndicate the customer demand of demand point k;V expression refers to supplier to the fixed vehicle speed of home-delivery center;V' indicates assignment
Send center to the fixed vehicle speed of demand point;The specified cargo dead-weight of a expression bulk transport vehicle;The appearance of b expression dispatching stage crisper
Amount;D indicates the cost of a crisper;W indicates unit time in haulage stage vehicle refrigeration energy consumption cost;Q is fresh to indicate fresh
The unit price of product;C indicates home-delivery center's fixed maintenance cost;gjIndicate warehouse j to the unit management expense of cargo;fjIndicate storehouse
Library construction cost;zjIt is expressed as 0-1 integer variable;ljkIt indicates whether to select the dispatching route;L indicates a sufficiently large number.
8. the site selecting method of the Cold Chain Logistics home-delivery center according to claim 2 based on goods damage, wherein described using imitative
True software carries out verifying analysis to the site selection model, analyzes the parameters in site selection model to the addressing knot of home-delivery center
The step of influence of fruit and Logistics Total Cost, comprising:
Using simulation software in the site selection model the velocity coefficient that addles, customer demand, transport vehicle cargo dead-weight and match
It send the soaking time in stage incubator to carry out sensitivity analysis, obtains the velocity coefficient that addles, customer demand, transport vehicle loading
Influence of the soaking time to addressing result and Logistics Total Cost in amount and dispatching stage incubator.
9. a kind of addressing system based on the described in any item Cold Chain Logistics home-delivery centers based on goods damage of the claims 1-8
System, which is characterized in that the system comprises:
Modulus block alternatively is clicked, for choosing alternative point of several addresses as home-delivery center in target area;
Traffic condition determining module, for determining supplier to each home-delivery center and each home-delivery center to each demand point
Traffic condition;
Site selection model constructs module will be including the goods damage cost for determining goods damage cost according to traffic condition
Logistics Total Cost is input in mathematical model, and constructs site selection model with the minimum condition of Logistics Total Cost;
Addressing result output module exports the choosing of home-delivery center for solving using simulation software to the site selection model
Location result.
10. the site selection system of the Cold Chain Logistics home-delivery center according to claim 9 based on goods damage, which is characterized in that institute
State system further include:
Verifying analysis module analyzes in site selection model for carrying out verifying analysis to the site selection model using simulation software
Parameters to the addressing result of home-delivery center and the influence of Logistics Total Cost.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110211655A (en) * | 2019-06-06 | 2019-09-06 | 苏州瑞派宁科技有限公司 | Allocator, the delivery management apparatus and system of short-half-life drug |
CN111598359A (en) * | 2020-06-04 | 2020-08-28 | 上海燕汐软件信息科技有限公司 | Logistics station site selection method and system |
CN111985792A (en) * | 2020-07-30 | 2020-11-24 | 中国外运股份有限公司 | Order arranging method and device for load balance of cold chain transport vehicle and electronic equipment |
CN112308266A (en) * | 2019-07-26 | 2021-02-02 | 北京京东振世信息技术有限公司 | Warehouse site selection method, device, equipment and readable storage medium |
CN112766862A (en) * | 2021-02-04 | 2021-05-07 | 浙江科技学院 | Method for dividing and locating distribution area of petrochemical product supply chain |
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Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105373909A (en) * | 2015-12-04 | 2016-03-02 | 江苏省现代企业信息化应用支撑软件工程技术研发中心 | Logistics dispensing center addressing method based on simulation software |
-
2018
- 2018-11-13 CN CN201811348120.5A patent/CN109636002B/en active Active
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105373909A (en) * | 2015-12-04 | 2016-03-02 | 江苏省现代企业信息化应用支撑软件工程技术研发中心 | Logistics dispensing center addressing method based on simulation software |
Non-Patent Citations (4)
Title |
---|
YU BAI等: "How to Locate the Cold Chain Logistics Distribution Center Based on the Gray Comprehensive Evaluation", 2010 INTERNATIONAL CONFERENCE ON E-PRODUCT E-SERVICE AND E-ENTERTAINMENT, pages 1 - 4 * |
周群凯等: "冷链物流一体化的多配送中心选址优化", 《铁路采购与物流》 * |
周群凯等: "冷链物流一体化的多配送中心选址优化", 《铁路采购与物流》, vol. 8, no. 7, 25 August 2012 (2012-08-25), pages 52 - 54 * |
孟光: "生鲜农产品冷链物流配送中心选址研究", pages 149 - 1252 * |
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CN111598359B (en) * | 2020-06-04 | 2023-11-21 | 上海燕汐软件信息科技有限公司 | Logistics station site selection method and system |
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