CN115471158A - Logistics distribution center efficiency evaluation method and system based on truck traffic control measures - Google Patents
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Abstract
The application discloses a method and a system for evaluating efficiency of a logistics distribution center based on a truck traffic control measure, wherein the method comprises the following steps: determining an efficiency evaluation index of a logistics distribution center; recalculating the weights of the efficiency evaluation indexes to obtain evaluation index weights; establishing an over-efficiency model under the restriction of the freight car driving restriction; substituting the evaluation index weight into an over-efficiency model to obtain efficiency values of logistics distribution centers of restricted areas and non-restricted areas; according to the efficiency value, reasonable improvement results are obtained. According to the method, different factors influencing the efficiency of the logistics distribution center are fully considered, and on the basis that the influence of the freight car traffic control measures on the logistics efficiency is considered, the efficiency evaluation scheme of the logistics distribution center based on the super efficiency is established, the logistics efficiency of the logistics distribution center can be rapidly measured and evaluated, the logistics distribution center resources are reasonably configured based on the result, and the operation efficiency is improved; meanwhile, the method can solve the problem that various resources of the logistics distribution center are put into optimal configuration according to different kinds of influence factors.
Description
Technical Field
The application relates to the field of efficiency evaluation of urban traffic control and logistics distribution centers, in particular to a method and a system for evaluating the efficiency of a logistics distribution center based on freight car traffic control measures.
Background
In recent years, the rise of the caller ID trade drives the development of the logistics industry, the logistics industry gradually becomes the national economy type industry, and the improvement of the logistics efficiency can promote the logistics industry to reduce various costs, increase benefits and improve the quality of regional economy and national economy. The logistics distribution center plays a role in connecting an upstream supplier and a downstream customer in a logistics distribution chain, and the intensive study on the logistics efficiency of the logistics distribution center is of great importance. On the other hand, in order to alleviate the demands of traffic jam, environmental protection and the like in the central urban area, some large-sized urban trucks are often blocked outside the central urban area in a specific time period, and most major provincial cities have access to the truck restriction measures, which make the trucks have to choose to transport at night, while the most direct influence on the time restriction measures of the trucks in the logistics industry is reflected in the cost: the goods delivery of the trucks at night has to be selected because the goods are restricted in the daytime, and the logistics cost is increased due to the increase of night workers and the fuel consumption caused by detour. Therefore, how to scientifically and efficiently research the logistics efficiency of the logistics distribution center under the condition of truck traffic control, avoid resource waste, reasonably allocate resources and improve the industrial efficiency of the logistics distribution center is a problem to be solved urgently.
The existing logistics efficiency research methods comprise a subjective analytic hierarchy process, a fuzzy comprehensive evaluation method and a data enveloping method based on actual data. Most scholars tend to use the data envelope model to measure and calculate the logistics efficiency, but the traditional data envelope model cannot further analyze and sort effective decision units, the weight of an evaluation index is not limited, the automatically distributed index weight is zero at many times, only one or two indexes are in effect, and different decision units can generate different index weights, so that the result is not available, and the result is not in accordance with actual conditions. Most of research objects are efficiency of the whole logistics industry, efficiency research on logistics gardens and logistics distribution centers forming the logistics industry needs to be supplemented, and particularly, research methods influencing the efficiency of the logistics distribution centers are few according to specific policies, such as a freight car restriction policy. Therefore, the logistics distribution center efficiency evaluation method based on the truck traffic control measures is provided to solve the problems.
Disclosure of Invention
This application possesses advantages such as evaluation logistics distribution center efficiency problem under the measure to freight train restriction, has solved prior art and can't accomplish to the influence of policy to logistics efficiency, on the basis of considering the measure of freight train restriction, realizes the problem of scientific evaluation logistics distribution center efficiency.
In order to achieve the purpose, the application provides a logistics distribution center efficiency evaluation method based on a truck traffic control measure, which comprises the following steps:
determining an efficiency evaluation index of the logistics distribution center;
recalculating the weight of each efficiency evaluation index to obtain an evaluation index weight;
establishing an over-efficiency model under the restriction of the freight car driving restriction;
substituting the evaluation index weight into the over-efficiency model to obtain efficiency values of logistics distribution centers of restricted areas and non-restricted areas;
according to the efficiency value, a reasonable improvement result is obtained.
Preferably, the efficiency evaluation index includes: input index and output index.
Preferably, the input index includes: construction costs, transportation costs, labor costs, road infrastructure, accessibility, traffic demand, number of workers, and customer satisfaction.
Preferably, the yield indicator includes: delivery time and profit.
Preferably, the established super efficiency model comprises:
minθ
S + ≥0，S - ≥0
wherein theta represents the efficiency value of the decision unit DMU and satisfies the condition that theta is more than or equal to 0; DMU k (k = 1.. Multidot.n) represents a decision unit corresponding to the kth logistics distribution center; a is a j Weight a representing decision unit input vector X in restricted area j ＝(a 1 ,a 2 ,...,a m ) T M represents the number of input indexes; a' w Represents weight a 'of decision unit investment vector X in non-restricted area' w ＝(a' 1 ,a' 2 ,...,a' m ) T (ii) a X represents an input index vector X = (X) of DMU 1 ,X 2 ,...,X m ) (ii) a Y represents a yield indicator vector Y = (Y) of the DMU 1 ,Y 2 ,...,Y c ) And c represents the number of output indexes; s. the - ,S + Indicating the relaxation variable.
Preferably, the constraint enforcement supplementary conditions of the over-efficiency model include:
wherein z is j And p j Both represent a decision function.
Preferably, the method of obtaining said efficiency rate comprises: the efficiency evaluation indexes of the restricted measures to the logistics distribution centers are determined, on the basis of actual data, the evaluation index weights in the restricted areas and the non-restricted areas are calculated by an entropy method, the evaluation index weights are substituted into the super-efficiency model according to the restricted areas and the non-restricted areas, and the efficiency value of each logistics distribution center is calculated.
The application also provides a logistics distribution center efficiency evaluation system based on the freight train restriction measures, which comprises: the device comprises a calibration module, a weighting module, a construction module, a calculation module and a generation module;
the calibration module is used for determining the efficiency evaluation index of the logistics distribution center;
the weighting module is used for recalculating the weight of each efficiency evaluation index to obtain the evaluation index weight;
the construction module is used for establishing an over-efficiency model under the restriction of the limited driving of the truck;
the calculation module is used for substituting the evaluation index weight into the super-efficiency model to obtain the efficiency values of logistics distribution centers of restricted areas and non-restricted areas;
the generating module is used for generating a reasonable improvement result according to the efficiency value.
Compared with the prior art, the beneficial effects of this application are as follows:
1. according to the method for evaluating the efficiency of the logistics distribution center based on the freight car traffic control measures, different factors influencing the efficiency of the logistics distribution center are fully considered, on the basis that the efficiency of the logistics distribution center is influenced by the freight car traffic control measures, an efficiency evaluation scheme of the logistics distribution center based on super efficiency is established, the logistics efficiency of the logistics distribution center can be rapidly measured and evaluated, resources of the logistics distribution center are reasonably configured based on results, the operation efficiency is improved, meanwhile, the method has certain flexibility, and the effect that various resources of the logistics distribution center can be put into the optimal configuration according to different kinds of influencing factors is achieved.
2. According to the method for evaluating the efficiency of the logistics distribution center based on the truck restriction measures, the method for evaluating the efficiency of the logistics distribution center based on the truck restriction measures is provided according to the characteristics of a series of measures based on the urban delivery restriction, aiming at the difference of evaluation index weights of the efficiency of the logistics distribution center in different areas, verification is carried out on the method, and the result shows that: in the restricted area, the flow efficiency value is reduced by about 7.73% when the restricted constraint condition is considered compared with the flow efficiency value when the restricted constraint condition is not considered; in the non-restricted area, the flow efficiency value is increased by 5.48% when the restriction constraint condition is considered compared with the flow efficiency value when the restriction constraint condition is not considered. The calculated result of the limit-constrained over-efficiency model shows that the limit measures have a greater influence on the logistics efficiency of the logistics distribution center. Therefore, the problem that the efficiency evaluation can not be realized by the prior art aiming at logistics distribution centers in different areas on the basis of considering the policy of restricting the goods van is effectively and scientifically solved.
Drawings
In order to more clearly illustrate the technical solution of the present application, the drawings needed to be used in the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for a person skilled in the art to obtain other drawings without any inventive exercise.
FIG. 1 is a schematic flow chart of a method according to a first embodiment of the present application;
fig. 2 is a schematic diagram of a division of restricted areas and non-restricted areas in an ArcGIS road network and a position of a logistics distribution center according to a first embodiment of the present application;
fig. 3 is a schematic diagram illustrating weight changes of indexes in a restricted area and an unrestricted area according to a first embodiment of the present application;
FIG. 4 is a schematic diagram illustrating a comparison of efficiency values of a logistics center according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a system according to a second embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description.
Example one
As shown in fig. 1, a schematic flow chart of a method according to a first embodiment of the present application includes the steps of:
s1, determining an efficiency evaluation index of the logistics distribution center.
The factors of the freight train traffic control affecting the efficiency of the logistics distribution center are analyzed and used as evaluation indexes for evaluating the efficiency of the logistics distribution center, and ten indexes including construction cost, transportation cost, labor cost, road facilities, accessibility, business demand, labor number, customer satisfaction, distribution time and profit are selected in the first embodiment. The evaluation indexes are divided into two types according to input and output: 8 indexes such as construction cost, transportation cost, labor cost, road facilities, accessibility, service demand, labor number, customer satisfaction and the like are input indexes, and distribution time and profit are output indexes.
And S2, recalculating the weight of each efficiency evaluation index to obtain the evaluation index weight.
In the first embodiment, a buffer area is established in an ArcGIS software platform according to a truck traffic control measure, an intra-area logistics distribution center is selected as an efficiency evaluation object, in the first embodiment, an entropy method needs to be applied to recalculate each evaluation index weight of the efficiency of the intra-area logistics distribution center, in the first embodiment, a traffic control area and a non-traffic control area are divided in the ArcGIS software platform, and positions of the logistics distribution center are shown in fig. 2.
And S3, establishing an over-efficiency model under the restriction of the freight car limit.
minθ
S + ≥0，S - ≥0
Wherein theta represents the efficiency value of the decision unit DMU and satisfies the condition that theta is more than or equal to 0; DMU k (k = 1.. Multidot.n) represents a decision unit corresponding to the kth logistics distribution center; a is j Weight a representing decision unit input vector X in restricted area j ＝(a 1 ,a 2 ,...,a m ) T M represents the number of input indexes; a' w Represents weight a 'of decision unit investment vector X in non-restricted area' w ＝(a' 1 ,a' 2 ,...,a' m ) T (ii) a X represents an input index vector X = (X) of DMU 1 ,X 2 ,...,X m ) (ii) a Y represents a yield indicator vector Y = (Y) of the DMU 1 ,Y 2 ,...,Y c ) And c represents the number of output indexes; s-, S + represents a relaxation variable.
The additional conditions of the restriction measures of the constraint model comprise:
wherein z is j And p j Both represent a decision function.
And S4, substituting the evaluation index weight into an over-efficiency model to obtain the efficiency values of the logistics distribution centers of the restricted areas and the non-restricted areas.
Determining the weight coefficient of each logistics distribution center according to step S2, in this embodiment, solving the logistics distribution center efficiency under the weight through the MaxDEA software respectively, to obtain the logistics distribution center efficiency values in the restricted area and the non-restricted area, where the weight change is shown in fig. 3.
And S5, obtaining a reasonable improvement result according to the efficiency value.
And then evaluating the current resource allocation situation of each distribution center according to the efficiency value of each distribution center, and providing a reasonable improvement suggestion for the logistics distribution center with lower efficiency value.
The method comprises the steps of evaluating the efficiency of logistics distribution centers in a restricted area and an unrestricted area, determining the efficiency influence factors of restricted measures on the logistics distribution centers, calculating the evaluation index weights in the restricted area and the unrestricted area respectively by an entropy method based on actual data, substituting the evaluation index weights into an over-efficiency model under the restriction of a truck according to the restricted area and the unrestricted area, and calculating the efficiency value of each logistics distribution center. The super-efficiency model under the constraint of the truck under the restriction is that the random weight in the traditional super-efficiency model is replaced by each evaluation index weight calculated based on actual data. The supplementary constraint condition in the super-efficiency model under the constraint of the freight car under the traffic restriction is different weight values for distinguishing the influence factors of the logistics distribution center efficiency in the traffic restriction area and the non-traffic restriction area.
The working principle is as follows: according to the method for evaluating the efficiency of the logistics distribution center based on the truck traffic control measures, different factors influencing the efficiency of the logistics distribution center are fully considered, on the basis that the efficiency of the logistics distribution center is influenced by the truck traffic control measures, an efficiency evaluation scheme of the logistics distribution center based on super efficiency is established, the logistics efficiency of the logistics distribution center can be quickly measured and evaluated, resources of the logistics distribution center are reasonably configured based on results, the operation efficiency is improved, meanwhile, the method has certain flexibility, and the effect that various resources of the logistics distribution center can be optimally configured according to different types of influencing factors is achieved.
In summary, the method for evaluating the efficiency of the logistics distribution center based on the truck restriction measures provides a method for evaluating the efficiency of the logistics distribution center based on the truck restriction through the characteristics of a series of measures based on the urban delivery restriction, aiming at the difference of evaluation index weights of the efficiency of the logistics distribution center in different areas, and the results of the verification based on the method show that: in the restriction area, the flow efficiency value is reduced by about 7.73% when the restriction constraint condition is considered compared with the flow efficiency value when the restriction constraint is not considered; in the non-restricted area, the flow efficiency value under the restriction condition is increased by 5.48% compared with the flow efficiency value under the restriction condition, as shown in fig. 4. The calculated result of the limit-constrained over-efficiency model shows that the limit measures have a greater influence on the logistics efficiency of the logistics distribution center. Therefore, the problem that the efficiency evaluation can not be realized by the prior art aiming at logistics distribution centers in different areas on the basis of considering the policy of restricting the goods van is effectively and scientifically solved.
It is noted that, in the embodiments, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
Example two
As shown in fig. 5, a schematic structural diagram of a system according to a second embodiment of the present application includes: the device comprises a calibration module, a weighting module, a construction module, a calculation module and a generation module; the calibration module is used for determining the efficiency evaluation index of the logistics distribution center; the weighting module is used for recalculating the weight of each efficiency evaluation index to obtain the weight of the evaluation index; the construction module is used for establishing an over-efficiency model under the restriction of the freight car driving restriction; the calculation module is used for substituting the evaluation index weight into the super-efficiency model to obtain the efficiency values of the logistics distribution centers of the restricted areas and the non-restricted areas; the generating module is used for generating a reasonable improvement result according to the efficiency value.
Firstly, a calibration module is utilized to analyze factors of the freight car restriction affecting the efficiency of the logistics distribution center, the factors are used as evaluation indexes for evaluating the efficiency of the logistics distribution center, and ten indexes including construction cost, transportation cost, labor cost, road facilities, accessibility, business demand, labor number, customer satisfaction, distribution time and profit are selected in the second embodiment. The evaluation indexes are divided into two types according to input and output: 8 indexes such as construction cost, transportation cost, labor cost, road facilities, accessibility, service demand, labor number, customer satisfaction and the like are input indexes, and distribution time and profit are output indexes.
And then, recalculating the weight of each efficiency evaluation index by using a weighting module to obtain the evaluation index weight.
In the second embodiment, the weighting module establishes a buffer area in the ArcGIS software platform according to the freight car traffic restriction measure, selects the logistics distribution center in the area as an efficiency evaluation object, and in the second embodiment, the weighting module recalculates each evaluation index weight of the logistics distribution center efficiency in the traffic restriction area by using an entropy method.
The method comprises the following steps of establishing an over-efficiency model under the restriction of the limited driving of the truck by utilizing a construction module, wherein the working process comprises the following steps:
minθ
S + ≥0，S - ≥0
wherein theta represents an efficiency value of the DMU, and satisfies the condition that 0 is not more than theta; DMU k (k = 1.. Multidot.n) represents a decision unit corresponding to the kth logistics distribution center; a is j Weight a representing decision unit input vector X in restricted area j ＝(a 1 ,a 2 ,...,a m ) T M represents the number of input indexes; a' w Represents a weight a 'of the decision unit investment vector X in the non-restricted area' w ＝(a' 1 ,a' 2 ,...,a' m ) T (ii) a X represents an input index vector X = (X) of DMU 1 ,X 2 ,...,X m ) (ii) a Y represents the yield indicator vector Y = (Y) of the DMU 1 ,Y 2 ,...,Y c ) And c represents the number of output indexes; s - ,S + Indicating the relaxation variable.
The restriction measure supplementary conditions of the constraint model comprise:
wherein z is j And p j Both represent the judgment function.
And utilizing a calculation module to bring the evaluation index weight into the super-efficiency model to obtain the efficiency values of the logistics distribution centers of the restricted areas and the non-restricted areas.
Determining the weight coefficient of each logistics distribution center according to the weighting module, and in the second embodiment, solving the logistics distribution center efficiency under the weight through the MaxDEA software respectively to obtain the efficiency values of the logistics distribution centers in the restricted area and the non-restricted area.
And finally, the generating module obtains a reasonable improvement result according to the efficiency value, and the working process comprises the following steps: and evaluating the current resource allocation situation of each distribution center according to the efficiency value of each distribution center, and providing a reasonable improvement suggestion for the logistics distribution center with lower efficiency value.
The above-described embodiments are merely illustrative of the preferred embodiments of the present application, and do not limit the scope of the present application, and various modifications and improvements made to the technical solutions of the present application by those skilled in the art without departing from the spirit of the present application should fall within the protection scope defined by the claims of the present application.
Claims (8)
1. The logistics distribution center efficiency evaluation method based on the truck traffic control measures is characterized by comprising the following steps of:
determining an efficiency evaluation index of a logistics distribution center;
recalculating the weight of each efficiency evaluation index to obtain an evaluation index weight;
establishing an over-efficiency model under the restriction of the freight car driving restriction;
substituting the evaluation index weight into the over-efficiency model to obtain efficiency values of logistics distribution centers of restricted areas and non-restricted areas;
according to the efficiency value, a reasonable improvement result is obtained.
2. The method for evaluating the efficiency of the logistics distribution center based on the truck traffic restriction measure according to claim 1, wherein the efficiency evaluation index comprises: input index and output index.
3. The method for evaluating efficiency of logistics distribution center based on truck traffic restriction measures according to claim 2, wherein the investment index comprises: construction costs, transportation costs, labor costs, road infrastructure, accessibility, traffic demand, number of workers, and customer satisfaction.
4. The method for evaluating the efficiency of a logistics distribution center based on truck restriction measures according to claim 2, wherein the yield index comprises: delivery time and profit.
5. The method for evaluating efficiency of logistics distribution center based on truck traffic restriction measures according to claim 1, wherein the established super efficiency model comprises:
minθ
S + ≥0，S - ≥0
wherein theta represents an efficiency value of the DMU, and satisfies the condition that 0 is not more than theta; DMU k (k = 1.. Multidot.n) represents a decision unit corresponding to the kth logistics distribution center; a is a j Weight a representing decision unit input vector X in restricted area j ＝(a 1 ,a 2 ,...,a m ) T M represents the number of input indexes; a' w Represents weight a 'of decision unit investment vector X in non-restricted area' w ＝(a' 1 ,a' 2 ,...,a' m ) T (ii) a X represents an input index vector X = (X) of DMU 1 ,X 2 ,...,X m ) (ii) a Y represents a yield indicator vector Y = (Y) of the DMU 1 ,Y 2 ,...,Y c ) And c represents the number of output indexes; s - ,S + Indicating the relaxation variable.
6. The logistics distribution center efficiency evaluation method based on truck restriction measures according to claim 5, wherein the supplementary conditions of the restriction measures of the super-efficiency model comprise:
wherein z is j And p j Both represent the judgment function.
7. The truck clearance measure-based logistics distribution center efficiency evaluation method of claim 1, wherein the method of obtaining the efficiency value comprises: the efficiency evaluation indexes of the restricted measures to the logistics distribution centers are determined firstly, based on actual data, the evaluation index weights in the restricted areas and the non-restricted areas are calculated respectively by using an entropy method, the evaluation index weights are substituted into the super efficiency model according to the restricted areas and the non-restricted areas respectively, and the efficiency values of the logistics distribution centers are calculated.
8. Logistics distribution center efficiency evaluation system based on freight train restriction measure, its characterized in that includes: the device comprises a calibration module, a weighting module, a construction module, a calculation module and a generation module;
the calibration module is used for determining the efficiency evaluation index of the logistics distribution center;
the weighting module is used for recalculating the weight of each efficiency evaluation index to obtain the weight of the evaluation index;
the construction module is used for establishing an over-efficiency model under the limit of the freight car driving;
the calculation module is used for substituting the evaluation index weight into the super-efficiency model to obtain efficiency values of logistics distribution centers of restricted areas and non-restricted areas;
the generation module is used for generating a reasonable improvement result according to the efficiency value.
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