KR101409745B1 - Diagnosis and evaluation system for green logistics - Google Patents

Abstract

The present invention relates to a system for assessing and evaluating a green logistics system, which provides comprehensive and multidimensional diagnostic evaluation through objective indicators of a logistics system centering on a shipper, suggesting improvement measures and targets, and achieving them.
For this purpose, the smart logistics network integrated optimization system 10 is used mutually by a logistics specialist (3PL), a logistics consulting company, a company logistics person, a courier enterprise, a shopping mall, and the like; The diagnostic evaluation module 15 performs simulation results of the shippers / transportation means, transportation cost analysis CO2 emission analysis and various other analysis screens; A logistics integration database 20 for processing and analyzing the collected information according to the comprehensive logistics information network and the logistics status survey together with the active logistics system diagnosis evaluation module 15 in the server to build and operate the logistics related data collectively, (30) and a smart logistics network.

Description

{DIAGNOSIS AND EVALUATION SYSTEM FOR GREEN LOGISTICS}

The present invention relates to a knowledge-based service for optimal decision-making of a smart logistics network centered on a shipper so that minimization of logistics costs leads to reduction of carbon emissions, securing competitiveness of industrial logistics, and quick and economical response to crises such as logistics disturbance And more particularly, to a green logistics diagnostic evaluation system that provides a comprehensive and multidimensional diagnostic evaluation of logistics systems centering on a shipper through objective indicators, and suggests improvement plans and goals and achieves them .

In general, the concept of distribution includes activities to transfer goods and services from producers to consumers and to create the utility of place, time, and ownership, whereas logistics is the utility of place and time, excluding transactions that satisfy the utility of ownership As well as to the extent that it is possible.

This includes both the process of transporting, unloading, storing and packaging the produced goods, and the distribution of goods such as distribution processing and transportation infrastructure, and also the information distribution concept including communication infrastructure and information network.

Therefore, logistics generally refers to the parts related to national key industry activities such as transportation infrastructure, communication infrastructure, and transportation, storage, unloading, packaging, distribution, processing and information functions that companies can manage themselves.

On the other hand, the complex logistics system classifies it as air cargo at the stage of packing the cargo, and then passes through the border without any search in maritime and overland transportation. This is a logistics system that is shipped directly from overseas, When a truck sends a cargo to a third country through an aircraft, it allows the cargo to be carried directly to the airport without a separate search procedure, thereby reducing cargo damage and labor costs and speeding logistics transportation.

The logistics management information system, which is part of Intelligent Transportation System (ITS), automatically recognizes the location of the freight vehicle, the type of cargo, the operating condition, the route condition, and the cargo transfer information, thereby automatically collecting tolls, (Freight car) prevention, etc. to optimize the operation of the freight and logistics management system is to be efficient. In addition, it is a system for automatically detecting the condition of the vehicle and warning the driver and the manager in advance to reduce the safety accident or delay during the driving.

Therefore, it is necessary to develop technologies that can continuously evaluate and develop the supply chain management of our company while responding rapidly to the rapidly changing global economy and environmental crisis that is aiming for green growth.

Simulation and countermeasures against unexpected crisis situations as well as supply chain design that can respond quickly are needed.

Conventional logistics network diagnosis and evaluation technology is clustered into external factors in terms of utility, efficiency, satisfaction, information and innovation, internal factors from the point of view of the staff, external factors from the customer's point of view, The evaluation index of logistics service is being created.

According to the 2003 Fernie and McKinnon (2003) study, the index of logistics network efficiency in terms of grocery supply chain efficiency in the UK is presented, and Krauth et al.

Therefore, the United States is the world's largest emitter of carbon dioxide, spurring the development of environment-related logistics network management technology centered on logistics and distribution companies. Intel will quantify the expected carbon dioxide emissions, We are building a real-time monitoring system for data.

In addition, Wal-Mart is studying the development of logistics resource management technology that optimizes logistics transportation network and environment, such as changing the road delivery method of Canadian logistics companies to railway delivery method and replacing truck diesel assisted generators with power storage generators have.

Therefore, the conventional technologies are focused on planning, and there is a need for a diagnostic evaluation technology for real-time operation and a technology for notifying the user when a problem occurs and generating a suitable alternative in real time.

The Applicant hereby considers that in the era of low-carbon green growth, it is necessary to secure industrial logistics competitiveness through reduction of logistics costs and carbon emissions, and to make smart logistics network optimal decision To develop a knowledge-based logistics service.

The present invention was made in view of the above circumstances, and it is an object of the present invention, which was developed in view of the above circumstances, that the present invention is applied to a system for evaluating the performance of a vehicle, The present invention aims at providing a green logistics diagnosis evaluation system which is based on a shipper and performs logistics related analysis.

In order to achieve the above object, the smart logistics network integrated optimization system 10 is used mutually in a logistics specialist (3PL), a logistics consulting company, a company logistics person, a courier enterprise, a shopping mall, The diagnostic evaluation module 15 performs simulation results of the shippers / transportation means, transportation cost analysis CO2 emission analysis and various other analysis screens; A logistics integration database 20 for processing and analyzing the collected information according to the comprehensive logistics information network and the logistics status survey together with the active logistics system diagnosis evaluation module 15 in the server to build and operate the logistics related data collectively, (30) and a smart logistics network.

Another specific characteristic of the present invention is that the reference information step, the transportation planning step, the dispatching / executing step, the transportation performance step, and the transportation strategy step in the smart logistics network integrated optimization system are performed by the enterprise order information (ERP) Be configured to be performed between systems; In the diagnostic evaluation of the integrated optimization system, the KPI model registration classification task is model-library mapped, the KPI library manages the model-library mapping and KPI input data; R-OLAP is a multi-dimensional analysis of various evaluation indexes and execution results by analyzing the cargo / vehicle loading ratio analysis, CO2 / CO2 emissions by car / vehicle, and fuel consumption analysis by shippers / vehicles in each dimension evaluation index (plan) It supports decision-making on results.

INDUSTRIAL APPLICABILITY As described above, according to the present invention, it is possible to optimize the logistics flow by evaluating KPI (KEY PERFORMANCE INDICATOR) index selection, functions and transportation routes of the logistics bases, and develop the logistics network evaluation indexes.

The present invention is effective in reducing logistics costs as well as carbon emissions by suggesting an optimum route considering the linked transportation through modal shift as well as a single transportation means.

In addition, the present invention can evaluate the effects of simulation evaluation on demand changes, integration with new businesses, new market penetration, decision making related to outsourcing, expansion and elimination of facilities, Optimize operations, product and customer composition, optimize crisis management capabilities, improve sales and operations planning processes, and simulate changes in business conditions to support emergency response and strategy development.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram for explaining a green logistics diagnosis and evaluation system centering on a shipper according to an embodiment of the present invention;
FIG. 2 is a flowchart showing a process of the green logistics diagnosis and evaluation system of the present invention,
3 is a flow chart illustrating the process steps performed between the enterprise information system (ERP) system, the integrated optimization system and the enterprise execution system, the reference information step, the transportation planning step, the dispatching /
Figure 4 shows a process that illustrates the diagnostic evaluation of an integrated optimization system,
5 to 21 show the basic classification information and the screens showing the information inquiry in the general small classification,
22 to 24 are diagrams showing KPI model classification, KPI library and detailed information in the diagnosis evaluation.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a block diagram illustrating a system for evaluating green logistics according to an embodiment of the present invention. In the present invention, minimization of logistics cost leads to reduction of carbon emission, securing industrial logistics competitiveness, It is a knowledge-based service for optimal decision making of smart logistics network centered on shippers that can respond quickly and economically to crisis situations. This is a comprehensive and multidimensional diagnosis and evaluation through objective indicators of logistics centered on shippers, And it is a green logistics diagnosis evaluation system which supports the achievement of this.

Therefore, the knowledge-based service of the present invention is a service with a high proportion of inputs such as R & D activities, information communication technologies, and skilled workers among production support services that are inserted as intermediaries of production activities and supplement or replace the internal functions of enterprises.

Logistics bases between suppliers reflect the transportation network of GIS / Intelligent Transportation System (ITS) for the shippers-centered smart logistics network service, for example, To the logistics center, and then to the integrated logistics center (25).

At this time, the smart logistics network integrated optimization system 10 will be used mutually by a logistics specialist (3PL), a logistics consulting company, a company logistics person, a courier company, and a shopping mall. The diagnostic evaluation module 15 analyzes the transportation cost analysis, the CO2 emission amount, and various other analysis screens as a result of the simulation by the shippers / transportation means.

That is, a logistics integration database 20 for processing and analyzing information collected according to the comprehensive logistics information network and the logistics status survey together with the active logistics system diagnosis evaluation module 15 in the server, Smart interface with standard interface (30) has become networking.

The standard interface 30 can be used as a standard information system, an order management system (OMS), a warehouse management system (OMS), and a warehouse management system WMS) and a transportation management system (TMS) are interconnected with the integrated optimization system 10 via the logistics integration database 20, thereby providing a knowledge-based service for optimal decision making of a smart logistics network centered on a shipper.

The optimization process function structure is classified into C & C center and sectoral carbon emissions. The basic information is divided into shippers, transportation companies, centers, product groups, products, suppliers, vehicle types, vehicles and drivers.

Therefore, the present invention defines the evaluation object by the management system, the logistics cost, the main logistics activity and the logistics service level, and it is not a merely an evaluation considering only one of them, but a multidimensional approach to evaluate the logistics system as a whole To monitor the current state of the vehicle, notify the user when a problem occurs, and to create and present an alternative.

2 is a process showing the green logistics diagnosis and evaluation system of the present invention. The green logistics diagnosis and evaluation system of the present invention can provide an optimal path through consideration of linked transportation through a multidimensional approach, simulation of demand change using the result, evaluation of impacts due to the expansion and elimination of facilities, and support for reasonable non- .

Planned performance information in the diagnosis / analysis process is smart information in the performance process, mobile phone and vehicle operation (GTMS) in the execution stage, and dispatch execution, confirmation and adjustment in the command and control process. It collects transportation execution information through the driver's mobile phone in real time, carries out the transportation execution work according to the dispatch confirmation information, and feeds back the dispatch result, adjustment contents, reasons and the like.

In the diagnosis / analysis process, the actual operation route, the required time, and the distance are fed back and then reflected as feedback information in the strategy establishment and path configuration logic, thereby establishing (branching) an optimal business strategy for each transportation type through data simulation. Therefore, it establishes the optimal route strategy in the smart network optimization process.

  In the smart routing process, route and area utilization is adjusted according to the established strategy (monthly), and the route result is adjusted in the adjustment process through the transportation mechanism process and the command and control process to evaluate and adjust the distribution result Work. The adjustment process is transmitted to the driver and the vehicle execution process.

The present invention is configured to perform the green logistics analysis of the evaluation index reference setting, the comparison of simulation according to conditions, the operation log creation, the CO2 emission analysis, the joint delivery rate analysis, the average load factor analysis, and the vehicle operation information analysis.

3 is a process performed between an enterprise information system (ERP) system, an integrated optimization system and an enterprise execution system, with reference information step, transportation planning step, dispatching / executing step, transportation performance step and transportation strategy step.

In the reference information step, the basic information of the center (business establishment) and the customer (agency) is sent to the basic information of the smart logistics network integrated optimization system every day in the enterprise order information system. ) And customer (dealer) as daily basic information of enterprise execution system.

In the transportation planning stage, a transportation order including CBM (CUBIC METER) information is sent as a transportation order of the integrated optimization system daily in the enterprise order information system, and the transfer from the transportation order is planned. And routing (ROUTING). The plan of the integrated optimization system is a combination order in the dispatch, and the actual event allocation and the vehicle dispatch are performed in the enterprise execution system every day, and the plan information of the integrated optimization system is sent to the plan.

In the transportation planning stage, the dispatch result of Smart Routing is sent to the WAP (Wireless Access Protocol) as a result of dispatch in the dispatching / execution stage, the dispatch result in the integrated optimization system is immediately received in the enterprise execution system, In the execution system, transportation is carried out by cargo, and the transportation performance is settled and managed at the transportation performance stage.

In the dispatching / executing step, transportation performance is performed as execution information (departure / arrival report) using the WAP of the integrated optimization system, and the transportation performance at the transportation performance stage is received daily as the transportation performance of the enterprise order information system. Therefore, the transportation performance of the integrated optimization system is compared with the plan execution monitoring at the dispatch / execution stage and the transportation stage.

In addition, the transportation performance of the integrated optimization system is R-OLAP as the transportation strategy of the planning (route designer) and the PLT coefficient are derived from the transportation strategy stage at each quarter. The planning is sent to the route information of the basic information step described above.

The R-OLAP of the formal task supports detailed information for task trend and status analysis analysis. This is because the performance difference is generated according to the number of dimensions at the time of the inquiry by the user, so that indexes such as sales related trend / Analyze. In addition, it is flexible in responding to changes in business needs because development is intermediate.

Meanwhile, KPI (KEY PERFORMANCE INDICATOR) of KPI has a circulation cycle leading to improvement by evaluating final performance and establishing strategy as part of measurement activities related to overall logistics activities of SCM (SUPPLY CHAIN MANAGEMENT).

Major performance indicators are reorganized based on accurate financial performance such as sales and expenses and activity results. For example, IntaLogis SCE solution is being used as a tool to facilitate strategy improvement based on performance data of executioners. Based on these logistics-related key performance indicators, research and development of smart diagnosis / evaluation tools will be conducted.

The above KPI indices are based on the KPI indices, such as OMRON status / loss ratio, online order rate, labor cost per box, sales by vehicle, additional order rate, daily earnings trend by shippers, contribution of sales by shippers, sales progress rate, The results of this study are as follows: (1) Load factor, vehicle tolerance rate, delivery rate, vehicle operation rate, emergency dispatch rate, water transport volume analysis, profit ratio to sales,

 In the presentation phase, various analysis / KPI information is supported in OLAP format. In DRAG & DROP format, contents of horizontal and vertical axis can be configured to display only desired information (PIVOTING function) (NESTING function). By using the saved layout of the worker, the EXCEL PIVOT function is supported and convenient user analysis support and EXCEL DATA EXPORT function are supported.

The OLAP (On Line Analytic Process) is a process in which a user interactively analyzes information from various angles. The OLAP system is not an existing information system, but correlates with a system such as a data warehouse or a data mart . If the data warehouse stores and manages the data, OLAP plays a role in transforming the data in the data warehouse into strategic information.

The OLAP allows basic access, lookup, calculation, time series, and complex modeling. OLAP is an indispensable system for users to access data without using an intermediary like a recent information system.

ERP, SCP, and various legacy systems from a unified viewpoint throughout the enterprise, and can be used by end users in the form they always want to see.

Figure 4 is a process illustrating the diagnostic evaluation of an integrated optimization system. The present invention can establish a key management indicator index and a step-by-step evaluation level reference system for smart logistics diagnosis.

The KPI model registration classification operation is model-library mapped, and the KPI library manages the model-library mapping and KPI input data.

R-OLAP is a multi-dimensional analysis of various evaluation indexes and execution results by analyzing the cargo / vehicle loading ratio analysis, CO2 / CO2 emissions by car / vehicle, and fuel consumption analysis by shippers / vehicles in each dimension evaluation index (plan) And support decision-making on results.

Therefore, it is possible to design new indicators from the viewpoint of eco-friendly CO2 reduction and carbon emission rights in keeping with the green logistics management using the R-OLAP. Develop and disseminate various reports that can be utilized.

5 to 22 are views showing the basic information of the large classification and the information inquiry in the general small classification.

The table name shown in FIG. 5 is ILOwner, the table contents are the shippers information, the program outline is the shippers information inquiry, and the program name shippers information can be inquired. Here, the program ID is OwnerMaster and the menu ID is MA0101. That is, it is possible to inquire data of the shippers information table by pressing the upper use button "inquiry" on the screen, and inquire the shippers detailed information by double-clicking the record of the shippers information or clicking the rightclick Detail button.

The table name shown in FIG. 6 is ILOwner, the table contents are detailed information of the shippers, the program overview is the addition, inquiry, modification, and deletion of the shippers information, and the main processing contents are inquiry, modification, deletion and addition of the shippers detailed information. Here, the program name is the detailed management of the shippers, the program ID is CarrierDetail, and the menu ID is MA0101. That is, by selecting the upper use button "Cancel, Delete, New, Save" on the screen, the information selected by the shippers management program is modified, deleted, and inquired. Add, modify, delete, and inquire new shippers information.

The table name shown in FIG. 7 is ILCarrier, the contents of the table are carrier information, the program overview is a shippers information inquiry, and carrier information can be inquired. Here, the program ID is CarrierMaster and the menu ID is MA0102. That is, the user can inquire data of the carrier information table by clicking the upper use button "inquiry" on the screen, and inquire the carrier details information by double-clicking the record of the carrier information or clicking the rightclick Detail button.

The table name shown in FIG. 8 is ILCarrier, the contents of the table are detailed information of the transportation company, the program overview is the addition, inquiry, modification and deletion of carrier information, and the contents of main processing can be inquired, modified, . Here, the program name is carrier detail management, the program ID is CarrierDetail, and the menu ID is MA0102. In other words, by selecting the upper use button "Cancel, Delete, New, Save" on the screen, the information selected by the shipping company management program is corrected, deleted and inquired. Add, modify, delete, or inquire carrier information.

The table name shown in Fig. 9 is ILDepot, the table contents are the center information, the program outline is the center information inquiry, and the program name center information can be inquired. Here, the program ID is DepotMaster and the menu ID is MA0103. That is, it is possible to inquire data of the center information table by clicking the upper use button "inquiry" on the screen, and inquire the center detailed information by double-clicking the record of the center information or clicking the rightclick Detail button.

The table name shown in Fig. 10 is ILDepot, the table contents are the center detailed information, the program outline is the center information addition, inquiry, modification and deletion, and the main processing contents can be inquired, corrected, deleted and added to the center detailed information. Here, the program name is the center detailed management, the program ID is DepotDetail, and the menu ID is MA0103. That is, by selecting the upper use button "Cancel, Delete, New, Save" on the screen, the user can modify, delete, or inquire information selected by the center management program. Add, modify, delete, and query the center information.

The table name shown in Fig. 11 is an ILItemGroup, the table contents are product group information, the program outline is a product group information inquiry, and program name product group information can be inquired. Here, the program ID is ItemGroupMaster and the menu ID is MA0104. That is, it is possible to inquire data of the product group information table by clicking the upper use button "inquiry" on the screen, and inquire the center group detail information by double-clicking the record of the product group information or clicking the rightclick Detail button.

The table name shown in FIG. 12 is the ILItemGroup, the table contents are the product group detailed information, the program outline is the product group information addition, inquiry, modification and deletion, and the main processing contents are inquiry, modification, . Here, the program name is the product group detailed management, the program ID is ItemGroupDetail, and the menu ID is MA0104. That is, by selecting and pressing the upper use button "Cancel, Delete, New, Save" on the screen, the information selected by the product group management program is modified, deleted, and inquired. Add, modify, delete, and query product group information.

The table name shown in Fig. 13 is ILItem, the table contents are product information, the program outline is product information inquiry, and program name product information can be inquired. Here, the program ID is ItemMaster and the menu ID is MA0105. That is, the user can inquire the data of the product information table by clicking the upper use button "inquiry" on the screen, and inquire the product detailed information by double-clicking the record of the product information or clicking the rightclick Detail button.

The table name shown in FIG. 14 is ILItem, the table contents are product detail information, the program outline is product information addition, inquiry, modification, and deletion, and the main processing contents are inquiry, modification, deletion and addition of product detail information. Here, the program name is product detail management, the program ID is ItemDetail, and the menu ID is MA0105. In other words, by selecting and pressing the upper use button "Cancel, Delete, New, Save" on the screen, the information selected in the product management program is corrected, deleted and inquired. Add, modify, delete, and query product information.

The table name shown in FIG. 15 is ILCustomer, the contents of the table are customer information, the program overview is customer information inquiry, and program name customer information can be inquired. Here, the program ID is CustomerMaster and the menu ID is MA0106. That is, the user can inquire data of the customer information table by clicking the upper use button "inquiry" on the screen, and inquire customer detail information by double-clicking the customer information record or clicking the rightclick Detail button.

The name of the table shown in FIG. 16 is ILCustomer, and the contents of the table are the detail information of the customer, and the program outline is the addition, inquiry, modification and deletion of the customer information, and the main process contents can be inquired, modified, deleted and added. Here, the program name is customer detail management, the program ID is CustomerDetail, and the menu ID is MA0106. That is, by selecting the upper use button "Cancel, Delete, New, Save" on the screen, the information selected by the customer management program is modified, deleted, and inquired. Add, modify, delete, and display customer information.

The table name shown in Fig. 17 is ILVehicle, the table contents are the vehicle information, the program outline is the vehicle information inquiry, and the program name vehicle information can be inquired. Here, the program ID is VehicleMaster and the menu ID is MA0107. That is, the upper use button "inquiry" on the screen is depressed and the vehicle information is newly registered with the new registration button. The data of the vehicle information table can be inquired and the vehicle detailed information can be inquired by double-clicking the record of the vehicle information or clicking the right-click Detail button.

The table name shown in FIG. 18 is ILVehicle, the table contents are vehicle detailed information, the program summary is vehicle information addition, inquiry, modification, and deletion, and the main processing contents are inquiry, modification, deletion and addition of vehicle detailed information. Here, the program name is vehicle detail management, the program ID is VehicleDetail, and the menu ID is MA0107. In other words, by selecting and pressing the upper use button "Cancel, Delete, New, Save" on the screen, the information selected by the vehicle management program is corrected, deleted and inquired. Add, modify, delete, and inquire vehicle information.

The table name shown in Fig. 19 is the ILVehicleType, the table contents are the vehicle type information, the program outline is the vehicle type information inquiry, and the program name vehicle type information can be inquired. Here, the program ID is VehicleTypeMaster and the menu ID is MA0108. That is, by pressing the upper use button "inquiry" on the screen, after activating the correction button, it is possible to newly modify it, and after inserting a valid value into each field, it is confirmed. Click the minus button after activating the edit button to delete the data in the corresponding line.

The table name shown in Fig. 20 is an ILDriver, the table contents are driver information, the program outline is driver information inquiry, and the main processing contents are driver information. Here, the program name is driver information, the program ID is DriverMaster, and the menu ID is MA0109. That is, the upper use button "cancel" on the screen is depressed and the driver information is newly registered with the new registration button. The driver detailed information can be inquired by inquiring the data of the driver information table and double-clicking the record of the driver information or clicking the right-click Detail button.

The table name shown in FIG. 21 is an ILDriver, the table contents are driver detailed information, the program outline is driver information addition, inquiry, modification and deletion, and the main processing contents can inquire, modify, delete and add driver detailed information. Here, the program name is driver detailed management, the program ID is DriverDetail, and the menu ID is MA0109. In other words, the upper use button "Cancel, Delete, New, Save" on the screen is selected and the information selected by the driver management program is corrected, deleted and inquired. Add, modify, delete, and inquire driver information.

On the other hand, the APQC (American Productivity Quality Center) is an internationally recognized accredited organization for improving process and productivity of companies and institutions and establishing effective process system. Process Classification Framework (PCF), a business process standard that includes all industries, and detailed processes are defined for each domain, which is the basis of the APQC benchmarking method. Open Standards Benchmarking Collaborative (OSBC), Process defined in PCF model and Standard Measures for each process.

Other diagnostic assessment modeling SCOR (Supply Chain Operation Reference) provides a standardized description of the company's management process, the relationship between the standard processes, and standardized indicators for measuring the performance of the process.

22 to 24 are diagrams showing KPI model classification, KPI library and detailed information in the diagnosis evaluation.

In the general classification diagnosis evaluation and small classification in general, the table name shown in FIG. 22 is named ILKPIModelClassfication, and the contents of the table register the definition of the KPI model and the major classification and the middle classification. Program name is KPI model classification, and program ID is ILKPIModelClassfication.

 Program overview defines KPI model and classifies and classifies each model. Main processing contents are model code, name and detailed description registration, major classification by model, and middle classification by model. That is, the upper use button "inquiry" on the screen is executed, and the model code, the name and the detailed description are registered / corrected / deleted, and the large classification / middle classification is registered / corrected / deleted per model.

In the general classification diagnosis evaluation and the small classification in general, the table names shown in FIG. 23 are ILKPILibrary and ILKPILibraryToModelLink, and the table contents are KPI definition, description registration management, KPI definition / model mapping. Program name is KPI library, and program ID is PILibrary.

The program outline is KPI library definition and detailed description registration management, and the main processing contents are KPI code, name, description registration management, model / major classification / classification mapping work. That is, the KPI library code and the model information are mapped by moving the model list on the lower right side to the left by registering / modifying / deleting the KPI library code, name and detailed description by pressing the upper use button "inquiry" & Drop).

In the general classification diagnosis evaluation and small classification in general, the table name shown in FIG. 24 is ILKPILibraryDetail, and the table contents are KPI detailed dimensions, Factor, and calculation formula definition. Program Name KPI Library Detailed Information, Program ID is PILibraryDetail.

The program outline is the detailed dimension and calculation formula definition of the KPI library. The main process contents are dimension definition to be entered as input data, calculation item definition to be entered as input data, and calculation technique.

In other words, by taking the top use button "inquiry" on the screen and taking the table and column information by utilizing the database schema, defining it as dimension, taking the table and column information by using the database schema, and defining it as the calculation item, .

Accordingly, the present invention can be applied to the construction of a logistics management system based on the logistics of the logistics system and the establishment of a diagnostic evaluation system, thereby providing a logistics KPI index including green logistics evaluation certification items, establishing logistics strategy / planning / Designing qualitative and quantitative evaluation indicators reflecting logistics cost reduction and management efficiency, determining diagnosis items and response level index for each sector, developing multidimensional analysis technology by factor correlation and type, developing goal-based improvement progress monitoring technology, And maintenance technology development, user interface design and system implementation.

It is to be understood that the present invention is not limited to the embodiment of the present invention and that various modifications and changes may be made thereto without departing from the spirit and scope of the present invention. It is self-evident.

It is therefore intended that such variations and modifications fall within the scope of the appended claims.

10: Integrated Optimization System
15: Logistics Network Diagnosis Evaluation Module
20: Integrated logistics database
25: Modeling
30: Standard interface

Claims (5)

As a smart logistics network integrated optimization system (10) for mutual utilization in a logistics specialist (3PL), a logistics consulting company, a company logistics person, a courier enterprise, and a shopping mall,
A simulation evaluation result of the shippers / transportation means, and a transportation cost analysis; a diagnostic evaluation module 15 for providing a CO2 emission analysis and analysis screen accordingly;
A logistics integration database 20 for processing and analyzing the collected information according to the general logistics information network and the logistics status survey according to the diagnosis evaluation module 15 to build and operate the logistics related data collectively; And
(OMS), warehouse management system (WMS), and transportation management system (TMS) are interconnected with the integrated optimization system (10) via the logistics integration database (20) And a standard interface (30) for providing an intellectual service for decision making of the logistics network. A system for evaluating and evaluating the green logistics of a shipper centered on a standardized information step, a transportation planning step, a transportation planning step, a transportation performance step and a transportation strategy step in a smart logistics network integrated optimization system,
An enterprise order information (ERP) system for managing enterprise order information including reference information, transportation order, and transportation performance;
An integrated optimization system for performing model-library mapping in a model registration classification operation of KPI (KEY PERFORMANCE INDICATOR) in the diagnosis evaluation of the enterprise order information (ERP) system;
And an integrated optimizing system, wherein the dispatching / executing step receives the dispatching confirmation immediately through the dispatch result by the smart routing process in the dispatching / executing step, carries out transportation through dispatching, An execution system,
The KPI library manages the above-mentioned model-library mapping and KPI input data, and analyzes the loading rate by shippers / vehicles, CO2 emissions by shippers / vehicles, and fuel efficiency analysis by shippers / vehicles in the evaluation index (plan) It analyzes various evaluation indicators and execution results in a multi-dimensional manner to support decision making on simulation and optimization results,
The index of KPI is the index of the KPI, including the OMRON status / loss ratio, online order rate, labor cost per box, sales by vehicle, additional order rate, daily earnings trend by shippers, sales contribution by shippers, sales progress rate, Which is characterized in that it is any one of a car loading rate, a vehicle allowance rate, a delivery rate compliance rate, a vehicle operation rate, an emergency dispatch rate, an analysis of water transportation volume, a profit margin rate, Logistics Diagnostic Evaluation System. delete 3. The method of claim 2,
The R-OLAP is a formal service, and supports detailed information for charge transition and development status analysis. 3. The method of claim 2,
Wherein the modeling in the diagnostic evaluation is KPI model classification, KPI library, and KPI library detailed information.

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