CN112330417A - Use method of rental equipment transportation management system - Google Patents
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Abstract
The invention provides a using method of a rental equipment transportation management system, and managers can check indexes such as transportation timeliness analysis, transportation fee accuracy, transportation time consumption and the like through a mass PC management system, and check personnel and carriers participating in transportation according to the indexes. The method and the device have the advantages that effective active supervision is conducted on the transport vehicle, and the safety of the rental equipment in the transport process is improved.
Description
Technical Field
The invention relates to a using method of a rental equipment transportation management system.
Background
With the renewed comprehensive prosperity of the engineering machinery industry, the capital construction investment scale is continuously promoted, the downstream industry demand of the engineering machinery is driven to be continuously increased, and on the delivery flow of the traditional large-scale leased mechanical equipment, all matters before, during and after the delivery are processed by a manual line, but the defects of the traditional leased equipment delivery are also obvious:
1. the increase of labor cost requires a plurality of different personnel to be responsible for different work tasks during delivery, each person only knows the work responsible for the person, and the personnel cultivation cost is high;
2. the data flow is lost, the delivery period is opaque, and the flow and the progress guarantee depend on the historical experience of personnel;
3. the expenses generated before transportation depend on manual accounting, and the problem of committing illegalities for gains is easily generated due to lack of interpretability. The planning of the transportation route and the lack of rationality in the selection and scheduling of the carriers lead to the increase of the transportation cost because the selection is not always the optimal selection;
4. the on-the-way condition of the rented equipment in the transportation process cannot be effectively tracked, and the safety of the equipment and whether transportation personnel deliver the equipment according to a planned route cannot be ensured;
5. after transportation, no data indexes are accumulated, and the transportation and delivery process cannot be embodied digitally, so that personnel cannot be assessed through data, and the basis for improving delivery experience is not provided.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide a using method of a rental equipment transportation management system aiming at the defects in the prior art, and the safety of the rental equipment in the transportation process is improved by effectively and actively monitoring a transportation vehicle.
The technical scheme is as follows: in order to achieve the purpose, the invention provides a using method of a rental equipment transportation management system, which is characterized by comprising the following steps: the method comprises the following steps:
(1) the user carries out equipment leasing on-line ordering through various channels;
(2) after placing the order, the service engineer initiates a transportation demand order, and when the transportation demand order is initiated, the logistics prediction module automatically counts
Calculating the latest arrival time:
1. the prediction module generates a set of aging standard configurations based on historically generated big data aging data,
2. the system acquires the calculation parameters in the aging configuration according to the current time, calculates the current time to start transportation according to the historical average speed per hour of the route, can deliver the time to the client at the latest,
3. the system acquires calculation parameters in the aging configuration according to the current time, and calculates the current time for starting transportation and the latest delivery time point according to the historical average speed per hour of the route;
(3) the system background analyzes the newly generated demand sheets through big data generated by history, calculates the optimal route planning, simultaneously searches the demand sheets to be processed for combination analysis, and if the result generated by calculation indicates that the combined transportation cost is lower, the system combines the related demand sheets in advance;
(4) after logging in a civil iron force APP, a logistics scheduling specialist receives the push of a demand list in real time, and when clicking the demand list to be processed, the logistics scheduling specialist displays a pre-calculated optimal demand list combination, a planned transportation route, recommended freight details, loading information of a vehicle in the transportation process, current transportation kilometers and other data for the specialist;
(5) after the logistics scheduling specialist confirms the information, the system selects a cooperative logistics carrier, and the system can select the selected carrier
And the merchant recalculates the accurate freight once according to the quoted price of the carrier:
1. calculating accurate freight, selecting proper freight by using an autonomously developed freight differential pricing algorithm, firstly, dynamically matching a used freight pricing strategy according to the vehicle type of a carrier, using a ladder pricing strategy for a logistics vehicle, using a first mileage pricing strategy for a wrecker,
2. when the strategy selected by the system is ladder pricing, the system automatically matches the price interval of the price list according to the number of kilometers of current transportation to calculate the freight rate, if the current carrier does not provide price configuration, the system automatically downgrades to use the default price configuration of the current city,
3. when the strategy selected by the system is first mileage pricing, the system firstly converts the type of the currently transported equipment according to the configuration for standardizing the direct quantity difference of different types of equipment, then the system combines the quantity of the equipment into a plurality of first mileage prices through an exhaustion algorithm according to the first mileage pricing, takes the combination with the lowest cost as the transportation cost of the transportation, and if the current carrier does not provide price configuration, the system automatically degrades to use the current city default price configuration;
(6) after the logistics dispatching specialist verifies that no errors exist, a logistics transportation list is created;
(7) after logging in by using the mass-based logistics APP, the external carrier receives the task push of the logistics transportation order in real time, and after clicking the own transportation task, the system displays the detailed information of the transportation equipment, the transportation cost, the promised delivery time and the like of the transportation task to the carrier;
(8) after confirming the transportation task through the mass logistics APP, the carrier can select a driver and a vehicle of the transportation task according to the transportation information displayed by the APP;
(9) after a driver logs in by using the mass logistics APP, the driver receives a transportation task in real time, the driver opens the transportation task, a planned transportation route is displayed on the APP, the driver transports according to the transportation route displayed by the APP, and the driver needs to sign in at each place when arriving at the place;
(10) when a driver starts to transport, the mass logistics APP is combined with a logistics vehicle networking technology to collect positioning and running data and the like of a transport vehicle in real time, so that the transport condition is in a list at hand, in the transport process, certain areas often have goods loss and transport accidents, and after the transport vehicle enters the areas, the transport vehicle and related scheduling prompt information can be given;
(11) after a driver arrives at a transport place and signs in, a service engineer in charge of loading and unloading the rental equipment receives a task of loading and unloading the equipment through a civil iron force APP, the service engineer loads the equipment onto a transport vehicle, and the driver takes a positioning photograph of the loaded equipment through the APP to complete confirmation operation of loading of the rental equipment;
(12) the system will automatically predict the time consumption of the next location according to the driver's operation:
1. the prediction module analyzes the historical accumulated big data according to the confirmation time of the driver at the current place, calculates the average speed per hour between the current place and the next place,
2. calculating the expected time for reaching the next place according to the distance between the two places calculated in real time and the average speed per hour,
3. when the real-time positioning of the driver shows that the time spent on reaching the next place is possibly beyond the expected time spent, the system prompts the driver that the transportation has overtime risk;
(13) when the driver arrives at the delivery place, the service engineer unloads the equipment and delivers the rental equipment to the client, and when the delivery is completed and the whole transportation process is finished, the system analyzes indexes generated by the whole transportation process and calculates the order delivery timeliness, the transportation timeliness and the delivery timeliness.
Compared with the prior art, the invention has the following beneficial effects:
(1) the system comprises a flow control logic of the system and personnel role task flow nodes;
(2) freight differentiation pricing algorithm;
(3) a service man-hour prediction algorithm;
(4) automated algorithms used by the system to reduce labor costs;
(5) the combination of the logistics car networking technology,
the management personnel can check the indexes such as transportation timeliness analysis, transportation fee accuracy and transportation time consumption through the public PC management system, and the personnel and the carriers participating in transportation can be checked according to the indexes. The method and the device have the advantages that effective active supervision is conducted on the transport vehicle, and the safety of the rental equipment in the transport process is improved.
Drawings
FIG. 1 is a functional block diagram of the system of the present invention;
FIG. 2 is a schematic diagram of a flow chart structure according to the present invention.
Detailed Description
The present invention will be further illustrated with reference to the accompanying drawings and specific embodiments, which are to be understood as merely illustrative of the invention and not as limiting the scope of the invention. It should be noted that the terms "front," "back," "left," "right," "upper" and "lower" used in the following description refer to directions in the drawings, and the terms "inner" and "outer" refer to directions toward and away from, respectively, the geometric center of a particular component.
In order to solve the technical problems in the background art, the invention provides a method for using a rental device transportation management system, which is shown in the attached drawings 1-2 in the specification,
(1) the mass-energy iron force APP is used for all-round process management before, during and after the delivery of the leasing equipment;
(2) the mass-source logistics APP is provided for external carriers and drivers for task distribution, process notification and task tracking;
(3) the mass-energy PC management system is used for transportation track monitoring, personnel assessment, data analysis, online account checking and the like.
The method comprises the following steps: the user makes the equipment lease on-line order through various channels.
Step two: after placing the order, a service engineer initiates a transportation demand order, and when the transportation demand order is initiated, the logistics prediction module automatically calculates the latest delivery time:
1. the prediction module generates a set of aging standard configurations based on historically generated big data aging data,
2. the system obtains the calculation parameters in the aging configuration according to the current time, calculates the current time for starting transportation according to the historical average speed per hour of the line, and at what time point the transportation can be carried out at the latest,
3. and calculating an overtime threshold according to the average speed per hour, and when the planned receiving time selected by the service engineer is smaller than the threshold, prompting the service engineer by the system, wherein the transportation risks overtime.
Step three: and the system background analyzes the newly generated demand sheets through the big data generated by history, calculates the optimal route planning, simultaneously searches the demand sheets to be processed for combination analysis, and if the result generated by calculation indicates that the combined transportation cost is lower, the system combines the related demand sheets in advance.
Step four: the logistics scheduling specialist logs in the civil-energy iron force APP and then receives the pushing of the demand list in real time, and when the logistics scheduling specialist clicks the demand list to be processed, the system displays the pre-calculated optimal demand list combination for the specialist, the planned transportation route, the recommended freight details, the loading information of the vehicle in the transportation process, the current transportation kilometer number and other data.
Step five: after confirming the information, the logistics scheduling specialist selects a cooperative logistics carrier, and the system can recalculate the accurate freight once again according to the quotation of the selected carrier.
1 calculating accurate freight, selecting proper freight by using an autonomously developed freight differential pricing algorithm, firstly, dynamically matching and using a fare pricing strategy according to the vehicle type of a carrier, using a step pricing strategy for a logistics vehicle, using a first mileage pricing strategy for a wrecker,
2 when the strategy selected by the system is step pricing, the system automatically matches the price interval of the price list according to the kilometer number of the current transportation to calculate the freight rate, if the current carrier does not provide price configuration, the system automatically downgrades to use the default price configuration of the current city,
3 when the policy selected by the system is first pricing first mileage, the system first reduces the type of equipment currently in transit by configuration for standardizing the direct quantity difference of different types of equipment. And then the system combines the number of the devices into a plurality of first mileage prices through an exhaustive algorithm according to the first mileage pricing, takes the combination with the lowest cost as the freight charge of the transportation, and automatically downgrades to use the current city default price configuration if the current carrier does not provide the price configuration.
Step six: and after the logistics dispatching specialist verifies that no errors exist, a logistics transportation list is created.
Step seven: after the external carrier logs in by using the mass-transfer logistics APP, the task push of the logistics transportation order can be received in real time, and after the carrier clicks the own transportation task, the system displays the detailed information of the transportation equipment of the transportation task, the transportation cost, the promised delivery time and the like to the carrier.
Step eight: after the carrier confirms the transportation task through the crowd-sourced logistics APP, the driver and the vehicle of the transportation task can be selected according to the transportation information displayed by the APP.
Step nine: the driver uses the crowd to can receive the transportation task in real time after the commodity circulation APP logs in, and the driver is ordered the transportation task and can demonstrate the good transportation route of planning on the APP, and the driver transports according to the transportation route of APP show, and the driver need sign in the operation in this place every arrival a place.
Step eleven: when the driver begins the transportation, the crowd can commodity circulation APP combine commodity circulation car networking technique, gather haulage vehicle's location, operation data etc. in real time. The transportation condition can be seen in the future. In the transportation process, cargo loss and transportation accidents frequently occur in certain areas, and after a transportation vehicle enters the area, the vehicle and related scheduling prompt information can be given.
Step twelve: after the driver reachd the transportation place and signed in, the service engineer who is responsible for loading and unloading leased equipment can receive the handling equipment task through many ability iron force APP, by the service engineer with equipment pack the transport vechicle on, the driver fixes a position through APP to the equipment that loads and shoots, accomplishes the confirmation operation that leased equipment loaded.
Step thirteen: the system will automatically predict the time consumption of the next location according to the driver's operation:
1. the prediction module analyzes the historical accumulated big data according to the confirmation time of the driver at the current place and calculates the average speed per hour between the current place and the next place.
2. And calculating the expected time for reaching the next place according to the distance between the two places calculated in real time and the average speed per hour.
3. The system prompts the driver to risk overtime when the driver's real-time location indicates that the time to reach the next location is likely to exceed the expected time.
Fourteen steps: when the driver arrives at the delivery location, the equipment is unloaded by the service engineer and the rental equipment is delivered to the customer. When the delivery is completed and the whole transportation process is finished, the system can analyze indexes generated by the whole transportation process, calculate indexes such as order delivery timeliness, transportation timeliness and delivery timeliness and the like and is used for checking personnel.
The management personnel of the mass-energy logistics department can check the indexes such as transportation timeliness analysis, transportation fee accuracy and transportation time consumption through the mass-energy PC management system, and the personnel and carriers participating in transportation can be checked according to the indexes. The method and the device have the advantages that effective active supervision is conducted on the transport vehicle, and the safety of the rental equipment in the transport process is improved.
The technical means disclosed in the invention scheme are not limited to the technical means disclosed in the above embodiments, but also include the technical scheme formed by any combination of the above technical features.
Claims (1)
1. A use method of a rental equipment transportation management system is characterized in that: the method comprises the following steps:
(1) the user performs equipment leasing on-line ordering through various channels;
(2) and after placing the order, a service engineer initiates a transportation demand order, and when the transportation demand order is initiated, the logistics prediction module automatically calculates the latest delivery time:
1. the prediction module generates a set of aging standard configurations based on historically generated big data aging data,
2. the system acquires the calculation parameters in the aging configuration according to the current time, calculates the current time to start transportation according to the historical average speed per hour of the route, can deliver the time to the client at the latest,
3. the system acquires calculation parameters in the aging configuration according to the current time, and calculates the current time for starting transportation and the latest delivery time point according to the historical average speed per hour of the route;
(3) the system background analyzes the newly generated demand sheets through big data generated by history, calculates the optimal route planning, simultaneously searches the demand sheets to be processed for combination analysis, and if the result generated by calculation indicates that the combined transportation cost is lower, the system combines the related demand sheets in advance;
(4) after logging in a civil iron force APP, a logistics scheduling specialist receives the push of a demand list in real time, and when clicking the demand list to be processed, the logistics scheduling specialist displays a pre-calculated optimal demand list combination, a planned transportation route, recommended freight details, loading information of a vehicle in the transportation process, current transportation kilometers and other data for the specialist;
(5) after the logistics scheduling specialist confirms the information, a cooperative logistics carrier is selected, and the system can recalculate the accurate freight rate again according to the quotation of the selected carrier:
1. calculating accurate freight, selecting proper freight by using an autonomously developed freight differential pricing algorithm, firstly, dynamically matching a used freight pricing strategy according to the vehicle type of a carrier, using a ladder pricing strategy for a logistics vehicle, using a first mileage pricing strategy for a wrecker,
2. when the strategy selected by the system is ladder pricing, the system automatically matches the price interval of the price list according to the number of kilometers of current transportation to calculate the freight rate, if the current carrier does not provide price configuration, the system automatically downgrades to use the default price configuration of the current city,
3. when the strategy selected by the system is first mileage pricing, the system firstly converts the type of the currently transported equipment according to the configuration for standardizing the direct quantity difference of different types of equipment, then the system combines the quantity of the equipment into a plurality of first mileage prices through an exhaustion algorithm according to the first mileage pricing, takes the combination with the lowest cost as the transportation cost of the transportation, and if the current carrier does not provide price configuration, the system automatically degrades to use the current city default price configuration;
(6) after the logistics dispatching specialist verifies that no errors exist, a logistics transportation list is created;
(7) after logging in by using the mass-based logistics APP, the external carrier receives the task push of the logistics transportation order in real time, and after clicking the own transportation task, the system displays the detailed information of the transportation equipment, the transportation cost, the promised delivery time and the like of the transportation task to the carrier;
(8) after confirming the transportation task through the mass logistics APP, the carrier can select a driver and a vehicle of the transportation task according to the transportation information displayed by the APP;
(9) after a driver logs in by using the mass logistics APP, the driver receives a transportation task in real time, the driver opens the transportation task, a planned transportation route is displayed on the APP, the driver transports according to the transportation route displayed by the APP, and the driver needs to sign in at each place when arriving at the place;
(10) when a driver starts to transport, the mass logistics APP is combined with a logistics vehicle networking technology to collect positioning and running data and the like of a transport vehicle in real time, so that the transport condition is in a list at hand, in the transport process, certain areas often have goods loss and transport accidents, and after the transport vehicle enters the areas, the transport vehicle and related scheduling prompt information can be given;
(11) after a driver arrives at a transport place and signs in, a service engineer in charge of loading and unloading the rental equipment receives a task of loading and unloading the equipment through a civil iron force APP, the service engineer loads the equipment onto a transport vehicle, and the driver takes a positioning photograph of the loaded equipment through the APP to complete confirmation operation of loading of the rental equipment;
(12) the system will automatically predict the time consumption of the next location according to the driver's operation:
1. the prediction module analyzes the historical accumulated big data according to the confirmation time of the driver at the current place, calculates the average speed per hour between the current place and the next place,
2. calculating the expected time for reaching the next place according to the distance between the two places calculated in real time and the average speed per hour,
3. when the real-time positioning of the driver shows that the time spent on reaching the next place is possibly beyond the expected time spent, the system prompts the driver that the transportation has overtime risk;
(13) when the driver arrives at the delivery place, the service engineer unloads the equipment and delivers the rental equipment to the client, and when the delivery is completed and the whole transportation process is finished, the system analyzes indexes generated by the whole transportation process and calculates the order delivery timeliness, the transportation timeliness and the delivery timeliness.
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| CN111612316A (en) * | 2020-05-09 | 2020-09-01 | 众能联合数字技术有限公司 | Operation management system supporting equipment lease application |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101923666A (en) * | 2009-06-10 | 2010-12-22 | 上海美华系统有限公司 | Transportation management method based on joint collaboration of logistics company, shipper and carrier |
| CN109426930A (en) * | 2017-08-25 | 2019-03-05 | 株式会社日立制作所 | The transport delay forecasting system and method for logistics vehicles |
| CN111523843A (en) * | 2020-04-26 | 2020-08-11 | 众能联合数字技术有限公司 | Intelligent logistics system and method for mobile terminal leasing equipment |
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