RU2755520C1 - Automated logistical intelligent information decision-making system in manufacturing and logistical complex - Google Patents

Abstract

FIELD: information technology.

SUBSTANCE: invention relates to the field of information technology and is intended to create management decisions in a manufacturing and logistical complex based on a logistical intelligent information system. The logistical intelligent information system consists of four blocks: information and reference block; accounting and logistical block; intelligent block; display and cartography block. Information support in form of collection of data on objects, processes, connections, generation of databases is executed by the information and reference block. Mathematical substantiation based on the rules of logistics (manufacturing, warehouse, transport, information, inventory management and personnel management logistics), is executed by the accounting and logistical block. Intelligent support is executed in the intelligent block by presenting tested and verified alternatives to solutions based on expert systems and stored in a knowledge database. The display and cartography block images the received information and data to control the stages of decision making and represents a resulting subject-oriented model of the working document (the component part thereof) used by the operator or the DM to control the technological and logistical processes in the manufacturing and logistical complex.

EFFECT: automated creation of directive, graphic management decisions by operators and, subsequently, by a decision maker (DM) in a manufacturing and logistical complex (MLC).

1 cl, 6 dwg, 1 tbl

Description

The invention relates to the field of information technology and is intended for the preparation of management decisions in production and logistics complexes based on the logistics information and intellectual system.

Currently, the process of preparing and making management decisions in production and logistics complexes for decision makers and operator-managers is a laborious, complex, little-automated task.

In the absence of a single and connected network-oriented space for the receipt, supply, production, storage, transportation of material and technical means, any changes in the external and internal environment for each type of support require significant efforts to coordinate numerous objects and subjects of the system, which leads to ineffective financial, labor, time costs and increases the overall response time of the system to changes. The rapidly changing situation in the region requires revision in terms of: products, supply routes, types of support, which leads to changes in directive and planning documents in real time. The functional fragmentation of technological solutions of the complex itself, the higher management bodies, provided and supporting organizations lead to dysfunction of the entire PLC system, untimely development of management decisions, information overload and inadequacy in the decisions of operator-managers and decision makers.

The known method and system for the automatic formation of multimodal services of freight in real time [RU 2695051 G08G 1/02 publ. 07/18/2019].

The technical result consists in reducing the time of formation and search for multimodal freight services. The method comprises the steps of obtaining (by means of the search module) a set of user profiles; establish links between user profiles through transport and logistics services; receive at least one request from the user; searching also for at least one multimodal service on the server, and determining one initial and one final user profile according to the user's request; for a certain one pair of initial and final profiles, a multimodal graph of user profiles is allocated; display to the user one continuous chain of links of multimodal graph profiles.

An automated system of information support for the basing, combat use and transportation of target military equipment when used from ships (vessels) has been developed [RU 2605315 G06F 19/00 publ. 03/27/2016].

The invention relates to the automation of processes associated with information support, as well as day-to-day (and combat) control of target military equipment (CWT) and means that ensure the operation of the ship (vessel) on the target basis of the aircraft carrier and transport platform. The technical result consists in increasing the automation of data collection and operating parameters of the digital computer with the aim of providing them to the operator in a single, aggregate form. The functional complex is a single solution for the automation and unification of an operator's automated workstation (AWP) based on a computer with a touch panel and portable tablet computers, it allows automating the processes associated with information support and control of target military equipment, mechanisms, ship (ship) systems, and also fundamentally automate the processes associated with the operation, basing, combat use and transportation of target military equipment, automate the processes associated with the operation of the mechanisms and systems of the ship (vessel).

A known method of creating information support for an information management system based on invariant information structures [RU 2697922 G06F 17/00 publ. 21.08.2019].

The invention relates to the field of information technology and is intended to create information support for information management systems. The technical result is the expansion of functionality. The method comprises the stages when data on the state of the subject area is obtained, including information about information objects, processes occurring in the subject area, connections between information objects, about the structures of information objects, processes and data storage; create a projection of a fragment of the subject area based on the received data, which is a set of structured data about information objects, processes and settings of universal blocks for storing and transforming data; form (in the data warehouse) the structure of the information support of the information management system; manage objects of the subject area and fill the universal blocks for storing and transforming data with incoming information about the state of the subject area; make decisions on the management of the information management system based on the data stored in the universal data storage and transformation units.

A management system for complex transport and logistics services in the field of freight traffic has been developed [RU 2694643 G06Q 10/08 publ. 07/16/2019].

The invention relates to a means of managing complex transport and logistics services in the field of freight traffic. The system includes: a customer registration center containing a database on material resources, as well as on shipments of goods; an information and analytical center containing a database on the availability and use of the infrastructure complex, a database on the directions and volumes of cargo transportation, the state and use of the complex; an information center about the performers of transport and logistics services, including information about companies that provide services for freight transportation, warehousing, storage and forwarding of goods, an information center about infrastructure, which includes functions for collecting, processing, monitoring the state of objects of transport and logistics infrastructure of a territorial entity, operational block for making decisions on its development; the center for the management and control of the transportation of goods, including operations for the management and control of the transportation and maintenance of goods. EFFECT: expanding the functionality of the monitoring system.

The above methods are varieties in use to support the operation of an enterprise (transport and logistics complex) with various automated management systems, databases, corporate information systems - these are the so-called CRM (customer relation management) and ERP (enterprise resource planning) systems. The disadvantages of these inventions are: high information workload of the decision maker and the managerial (operator) link; little use of intellectual support in the preparation and decision-making; structuring, aggregating and separating useful information from multiple sensors, controllers and visual telemetry, which requires a lot of time and labor; the development of directive and graphical management documents for each control hierarchy is not highly automated and highly specialized, not always and not fully suitable for PLCs. In addition, there is no structural block-modular principle in the above inventions based on a unified architecture of technical support, that is, the formation, depending on the set of goal-determining features of internal and external conditions, of management decisions based on logistics rules.

The aim of achieving the technical result of this invention is a significant increase in the automation of planning processes and preparation of decision-making to provide them to operators and decision makers, in the field of PLC technical support in a single unified form.

In the proposed invention, the specified goal is achieved due to the logistic information and intellectual system LIIS.

The composition of LIIS includes:

1. Information and reference block (ISB), which is responsible for:

• continuous monitoring of the PLC technical support system;

• configuring relevant situation queries;

• signaling and detailed display of emergency situations in the PLC;

• daily display of information and documents coming from the network-oriented architecture of technical support;

• accurate detection of failures and their location.

A feature of the ISF is an accessible and visual presentation of data on the supplied and supporting forces, as well as unified programs for assessing the situation in the external and internal environment of the PLC technical support. A consistent, logically structured supply of information and data coming from interacting units ensures effective and well-grounded preparation of management decisions in the production and logistics complex.

Functionality: ISB allows for high-quality preparation of decision-making based on the results of the presentation of relevant data based on the programs and modules built into the block, monitoring the technical support processes in accordance with its intended purpose.

2. The Settlement and Logistics Block (RLB) is designed to mathematically substantiate the processes of preparing decision-making on the technical support of the production and logistics complex. A feature of RLB is an accessible and visual representation of "supply chains" (production, transport, warehouse) and also unified programs for mathematical calculation of data received via network-oriented communication channels to operators and decision-makers. The settlement and logistics block is filled with animated illustrations, diagrams, technological schemes and tables, mathematical modeling of logistics operations. Key features:

• continuous monitoring of the data of the technical support system, reformatting the data into a visual visualized form;

• configuring thresholds and ranges of admissible numerical values of parameters;

• display of alarms when parameters go beyond the permissible values (deviations from the standardized values).

Functionality: computer programs in the RLB allow for high-quality preparation of decision-making based on the results of calculations and the presentation of relevant data based on various programs built into the calculation and logistics block in accordance with their criteria and tasks.

3. Intelligent block (INB) is designed for intellectual support of operators and decision-makers in planning and preparing management decisions on the technical support of the production and logistics complex (PLC).

In the InB knowledge base, based on an expert system, methodologies are applied, the key features of which are:

• application to complex practical tasks of maintenance, because those are subjected at the first stages to a comprehensive and deep study using the methods of system analysis on the models "heterogeneous problem" and "homogeneous problem";

• application at all stages of the original information language of functional blocks LIIS to represent original objects, prototype objects and objects-results of hybridization of solutions;

• application of an original knowledge-based method for selecting ideas, alternatives to solutions broken down into subtasks or decomposing a heterogeneous problem;

• widespread use of scenarios and schemes of role-based conceptual models that determine the operator's activities and allow him to avoid numerous errors and logical deviations during the preparation of decisions;

• development of an alternative heterogeneous model field for a complex problem, within the framework of which a network architecture of TO is built, the use of an original, heuristic algorithm for synthesizing a method for solving a complex problem.

4. The screen-cartographic unit (ECB) is designed to visualize the information presented, and it also acts as an interface (in the form of a touchscreen LCD panel) for input / output of information parameters for operators and decision makers to call other LIIS units in the process of preparing decision-making.

Key features of EEE:

• summing up and real-time presentation of the state of the resources of the technical support system (temporary, personnel, transport, lifting equipment, production and storage facilities, etc.);

• display of current information regarding technical support by class, nomenclature or by department in the form of color-coded diagrams or detailed tables;

• control and monitoring of technical support of PLC subdivisions and tracking the passage of resources of material and technical means, a list of the monitored nomenclature of the operator - as an abbreviated list of the basic nomenclature of resources, it includes the nomenclature that is monitored using a computer program developed for this task;

• displaying color-coded diagrams of the state of provision of funds by supply classes and divisions;

• standardized display of the areas of supported and support forces, as well as unified programs for assessing the situation in the external and internal environment of the PLC technical support (against the background of high quality digital maps).

Consistent supply of information from interacting enterprises, higher management bodies and lower subdivisions ensures effective and well-grounded preparation of management decisions in the production and logistics complex. To visualize the data, LIIS units can be connected to the corresponding input / output devices of information, implemented on the basis of touch displays, as well as to information input devices, through which the ISS database and the InB knowledge base are configured, in particular, the assignment of input parameters of the incoming information.

Through the screen-cartographic unit from the intelligent unit, at the request of the operator, ready-made alternatives of decision scenarios are displayed on the screens. Based on the analysis of the scenarios presented, the decision maker, with the help of the expert assessment of the InB and the PLC operators, makes the most adequate decision in the current situation.

The appearance of the claimed invention is illustrated by the following drawings. FIG. 1 shows a conceptual model of a logistics information and intellectual system. Along with the above blocks, a database management system (DBMS) and a knowledge base management system (KBMS) are presented. Operators-managers and decision makers enter the LIIS through the user interface - EEE, through which they interact with the rest of the units - ISB, RLB, InB.

FIG. 2 shows the existing and proposed algorithm with LIIS. An essential feature of the proposed algorithm is that at each stage of preparation of decision-making by the operator in real time or from the database and knowledge base, information is automatically supplied that has a positive effect on the main result - the decision-maker's decision, since the larger the amount of information taken into account at the preparation stage - the more objective and reliable is the final managerial decision of the decision maker.

The advantage of the block-modular system for building LIIS is that, depending on the goals and objectives, you can use third-party programs.

Based on the algorithm shown in FIG. 2, a PPR model was developed with pre-prepared decision scenarios (1, 2, ..., N), which were included in the InB knowledge base during the previous precedents and situations (Fig. 3). After receiving an operational directive or instructions from a higher management body, the stage of clarifying the task and assessing the situation, the operator through the user interface using the artificial intelligence system from the InB database of the logistics system into the script module gives out scenarios (1 ... N) suitable for solving the task.

Further, from the script module, the information goes to the module for specifying the maintenance resources, which is carried out during the operational orientation of chiefs, for example, workshops and divisions. Here, the relevant information about resources (material, human, financial, etc.), factors or variables on which the decision will depend (time of day, traffic congestion, the state of sea communications, i.e. the probabilistic nature of an event, influencing the decision).

The next step is to select the optimal alternative of the solution concept (out of 1, 2, ..., K-alternatives) after calculating the feasibility of the solution concept, in accordance with the constraint criterion (in our case, the provision of forces) and verifying the truth in the verification block according to the time and support criteria technical readiness of forces.

Depending on the directives of the higher management body, the following can be taken as the criteria for limitation and verification: staffing level with material and technical means, remaining equipment resource, power reserve of machines or other indicators of technical support. If necessary, the operator can look at the logic of choosing an alternative in the inference explanation block.

After the decision maker's report on the concept of the decision and its approval by the higher-level management body, the operator is engaged in communicating preliminary orders, as well as preparing text and graphic documents. If the optimal concept of the solution or the solution for maintenance is not approved, for example, when the provision time, physical and geographical conditions, hydrometeorological conditions that impede the performance of maintenance tasks or other factors are not approved, the operator specifies the resources of the maintenance system for the implementation of the task, sets other criteria for restrictions or verification, in which case the PPR cycle is repeated again.

SUMMARY OF THE INVENTION

This technical solution is aimed at eliminating the disadvantages inherent in solutions known from the prior art. The technical result is achieved due to the automation of planning processes and preparation of decision-making in order to provide them to operators and decision makers in the field of PLC technical support based on LIIS. Let's consider the work of LIIS based on an example.

Work on PPR begins with the receipt of documents - directives or orders of a higher management body, which are sent to the ISB (Fig. 4). They are unified in accordance with a specially developed "Electronic time sheet for urgent reports" (ETSD) and with the help of software tools in the ISF "break" and classify information into components of the future solution:

1. Tasks of the PLC maintenance system.

2. Estimation of time.

3. Assessment of the forces provided.

4. Assessment of TO forces.

5. Assessment of the opposing forces.

6. Assessment of the area.

The purpose of the technical support (TO) of the PLC is to maintain the technical readiness of consumers and ships of the fleet for the availability of ready-to-use (use) weapons and military equipment (AME), provision of material and technical means (MTS) and military-technical equipment (VTI).

The solution consists of three documents - a directive on technical support, a solution card, an explanatory note to the solution card (Fig. 6).

Based on the order (directives), the LIIS operator begins to collect information on the network-oriented architecture of technical support from subordinate types of maintenance and divisions, interacting structures. It can be very different in content, varied in essence, multi-colored texture, depending on the type of TO supplied to LIIS.

If information comes from their shops and departments, then this is data from sensors, sensors, telemetry, visualization and video surveillance equipment, smart contracts, etc. One of the special cases of data collection and the formation of the "Alternative solution" is based on the incoming data from the shop (type of maintenance) and its necessary functionality, which includes several parameters, which is visible on the monitors of the EKB LIIS in real time:

- technological lines of the shop;

- types of controlled devices;

- controls;

- methods and forms of control of a device or a group of devices;

- the number of controlled devices;

- the number and actions of workers in the shop.

If the information is from the provided forces (ships), then this is data on the serviceability or malfunction of units, equipment, a model of weapons and military equipment (AME) as a whole, a decrease in the level of fuels and lubricants or the amount of material and technical means to critical limits that come from them in the mode real time, from the onboard information and control systems built into the IWT. In the event of an AME breakdown, upon receiving a signal about its technical malfunction, LIIS can issue a signal indicating to the operator about the replenishment of material resources, the dispatch of repair teams to the AME model, the necessary standard actions of the maintenance units to restore the technical readiness and serviceability of the AME model as soon as possible.

If from interacting structures (Ministry of Emergency Situations, Ministry of Internal Affairs, Federal Border Service, regional ministries and departments), then information and data come from their situation centers and operational services. All of the above information can be presented to the operator (DM) in the form of video pictures, electronic maps, photo presentations, diagrams, tables, graphs - in any form that is convenient for perception and quick understanding.

The numerical information is unified by the ETSD, and if some components of this information do not correspond to this time sheet, the tooltip will show the operator and the source of information about the error, correction (pop-up sign "?") Or satisfactory (tooltip "!") Of the input ISB data. The data received from upstream and downstream structures are compared according to the criteria of the feasibility of tasks, and if there are discrepancies, then the operator can immediately see what management decisions need to be made on his own in order to complete the task of full-fledged technical support from the 1st to the Nth consumers. If it is necessary to clarify the input data, their compliance with the governing documents (whether the data is in the corridor of norms and criteria), the operator can contact the ISB modules:

- module of guidance documents;

- a module of methodological documents on maintenance planning;

- module for collecting data on the forces provided;

- module for collecting data on its own;

- data collection module of the opposing side;

- module for collecting data from the region (area of operations).

If the input data (temporary, material, financial, etc.) go beyond the normalized values, the ISB shows with a color hint that the operator needs to pay attention to this in order to take measures to solve problems by the maintenance forces, the ISB output parameters are prepared data for the decision maker in stages clarification of tasks, timing, operational orientation of PLC officials, assessment of the situation and, ultimately, the concept (alternative) of the solution. Such an idea is reported to the superior control body of the decision maker and, after approval, the operator, with the help of LIS, transmits preliminary orders according to the network-oriented architecture and proceeds to the stage of development and preparation of decisions (Fig. 2). It consists in the fact that at his request in LIS from the InB knowledge base, according to semantic and logical queries of the solution concept, ready-made solutions are issued that were previously tested and represent scenarios (verified knowledge in a given subject area), assessed by the InB expert system and ranked according to the point-rating principle. If the task is homogeneous, 2-3 scenarios are presented, if it is heterogeneous, 3-5 scenarios are presented that can be subjected to hybridization and also evaluated by an expert system (inference mechanism of an artificial intelligence system) using restriction criteria (Fig. 2) and propose a decision maker for it final acceptance.

If necessary, with the help of LIIS, it is possible to clarify the relevant stop through the ISB or to carry out a mathematical justification of the alternatives of solutions in the RLB (Fig. 5). The RLB is also composed on a modular basis, built on the rules and principles of logistics, ready-made software and mathematical tools (financial and economic, transport, warehouse, personnel, etc.) developed by third-party developers (for example, Scilab, SMatch Studio, etc.) can be integrated into it. ) and applicable for PLC technical support tasks.

RLB consists of modules (II column of Fig. 5)

1. Conceptual module ("what to provide?")

2. Technological module ("how to provide?")

3. Resource module ("by what means to provide?")

4. Time module ("in what time frame to provide?")

5. Mobilization module ("who provides?")

6. Module for calculating and verifying decisions ("what decision to take?")

Submodules (III column of Fig. 5) are also subdivided in accordance with functional tasks, in which specially developed (and within the framework of this invention) programs for PLC tasks are implemented, for example:

- certificate of state registration of rights for computers No. 2019615899 dated May 14, 2019 "Settlement and logistics unit of the technical support system of the production and logistics complex";

- certificate of state registration of rights for a computer №2019617698 dated June 19, 2019 "Program for calculating the time for providing ships with ammunition";

- certificate of state registration of rights for a computer No. 2019663366 dated 15.10.2019, "Information support for systems of technical, missile and artillery technical support of the production and logistics complex."

The RLB also uses the "Output parameters control table", which is programmatically connected with the block modules and shows in real time the correspondence of the mathematical parameters of the PLC hardware system to the normalized values. For values in the tolerance corridor, the submodule numbers are highlighted in green, if outside the tolerance, then in red. Accordingly, the operator sees a green “yes” or a red “no” in the “line for controlling the output parameters of the RLB modules”: to take measures or correct the input parameters of the LIIS and ultimately bring it to a standardized version.

The intelligent block (InB) also consists of modules (II column of Fig. 6) and submodules (III column of Fig. 6) and from the knowledge base, in which ready-made decision scenarios are stored (IV column - Decision alternatives). They can come according to the network-oriented architecture of technical support from corporate cloud knowledge bases in accordance with access rights or stored in the knowledge base of the block itself, which consists of:

1. Module of maintenance scenarios in accordance with the basing areas:

- at the point of maneuverable basing (PMB);

- in the dispersed basing area (RRB);

- in the sea rear-based area (MRTO);

- in the area of impending actions (RAP).

2. Module of maintenance scenarios by type of support:

- regular;

- planned;

- with a margin of time;

- no time reserve;

3. Module of maintenance scenarios by methods of delivery of material and technical means:

- by sea or air transport;

- by rail;

- by car;

- mixed delivery;

- outsourcing method.

4. Module of maintenance scenarios with the involvement of the capabilities and resources of federal structures.

These modules themselves consist of submodules (III column of Fig. 6), in which knowledge is aggregated based on the experience of solving problems in the previous period on the basis of similar precedents or the presentation of original objects as a result of hybridization of solutions that can be created virtually by software. 3D projections and hybridize technical support processes with real prototype objects.

Formally, on the electronic map of the region, based on simulation modeling, it is possible to deploy virtual maintenance objects (ports, points of maneuverability or ship repair, warehouses, transport infrastructure, workshops, sections, etc.) and develop scenarios for the supply of products to consumers for all types of technical support, with mathematical justification management decisions, which can then be transferred into a real situation and gain experience and knowledge, develop from 3 to 5 alternative solutions for each assigned task, evaluate them by various methods (most often by an expert system built into LIIS), and, on based on the point rating, choose the most optimal solution alternative.

Due to the fact that the control of the PLC maintenance system is associated with a large number of uncertainties, in addition to the scenario method, when choosing alternative solutions in the ES solver, the Delphi method was used - a method based on the analysis and averaging of opinions and judgments of experts on the issues in question in various ways. Practical implementation, verification of decision scenarios, i.e. the implementation of planned activities is carried out during the repeated practical work of TO (from performers to consumers).

The Delphi method is accompanied by the creation of special working groups of specialists or an expert commission. The selection of experts is carried out on the basis of an analysis of their competence, determined by an objective assessment of experts, i.e. a general population of specialists is formed, competent in the field of the predicted problem in this subject area of logistics and maintenance. The next step is the selection by experts from the proposed series of alternatives - the most optimal alternative for solving this specific maintenance problem.

Let us consider, as an example, an algorithm for evaluating alternatives of design ideas in InB LIIS, which is divided into 2 stages.

Stage 1 - the formation of the expert commission (EC) of LIIS in the composition (12 specialists in this subject area).

Stage 2 - is for the EC to determine which alternative to the maintenance solution to call the most optimal. The final decision must be made by the decision maker, who determines the idea of solving a specific problem. EC members rank alternatives in accordance with the criteria, which was determined by the decision maker during operational orientation, according to defining criteria - by time, by efficiency, by availability, etc.). In the first place, everyone puts the alternative, which, in his opinion, is the most important and will more fully implement the task. Further, the ranks are given in descending order of the probability of the degree of fulfillment. Then each alternative, by each member of the EC, is assessed on a 10-point scale, depending on the costs and probabilities calculated in the RLR. In this case, in the ES, the highest score is taken as 1, for the lowest - 10. Then, both results for each alternative are multiplied among themselves, and the sum of the products is found. The smallest amount indicates the best alternative.

The results of the expert assessments are entered in the table (Table 1), where P is the rank assessment assigned by the expert to the alternative, depending on the degree of its significance. The most significant alternative, for example, the decision - first of all to provide performer No. 3, is put in first place (1 rank), depending on the number of alternatives (from 1 to 5).

B - the score is given by an expert from 1 to 10 points. One is taken for the highest score, and 10 for the lowest.

Further work:

The sum of the works is determined for each alternative.

The smallest sum of works indicates the most significant alternative. In the given example, the best alternative to the EC solution is alternative No. 4 (see Table 1). The expert commission includes decision makers and heads of shops and structural subdivisions of the PLC so that they know what criteria and restrictions to be guided by, as well as for entering into the subsystem of explanations of the ES of the choice of one or another alternative. After choosing, the decision maker approves the selected alternative, and then it is transformed into a scenario as the basis for a future management decision. If the decision maker does not approve or disagree with some of its elements, then the cycle is repeated again until a compromise scenario is obtained that is consistent in all parameters.

The screen-cartographic unit (ECB, Fig. 6) consists of the following modules and submodules (II and III columns, respectively):

1 Cartographic module, including submodules:

- map of maintenance units;

- a map of sea communications;

- a map of coastal zones and ports;

- a map of the transport infrastructure of the region.

2. Video information module, which includes the following submodules:

- teleinformation;

- video conference;

- GLONASS;

- USC, UEC.

3. Module "Document flow", which includes the following submodules:

- technical support control center;

- control center of a regional transport operator;

- control point for sea transportation;

- railway transportation control point;

- electronic signature.

This module and its submodules accumulate in themselves all the electronic documentation of the PLC and control points of the types of technical support, electronic signature of smart contracts, powers of attorney, consignment notes, passes for import-export of MTS or VTI, etc.

The submodules in the IV column of the EEE (Fig. 6) include sections:

- map layer;

- 3D projection;

- document segments.

At the output of the solver, the optimal design of the solution is given. After verification, verification of its adequacy in practice, this alternative solution will be stored in the InB knowledge base. In case of a request by the user through the interface and the intelligent editor of the knowledge base, InB will automatically issue a ready-made alternative. During the clarification of the LIS decision, verification will be carried out taking into account the relevant information about the resources (material, mobilization, financial, etc.) of the maintenance system at a given point in time. The documents of the final prepared decision will be stored in the InB knowledge base after approval by the superior management body or superior manager (DM).

Thus, a multiple check of various types of solutions is carried out according to criteria and indicators, the connection between theory and practice in solving problems of the maintenance system. In the InB knowledge base, empirical knowledge is laid in the form of a script and the management decision itself, which are reported through a screen-cartographic unit in a videoconference mode to a higher management body, approved by a digital signature by a higher decision-maker, and then the operators develop: a maintenance directive, a graphic card-solution for maintenance and an explanatory note to it. The LIIS operator, in accordance with the access rights, brings the extracts from the solution (map layers) to the subordinate forces and provided consumers to coordinate their documents and plans by place, time, sequence, supply volumes, interaction, communication and other parameters for managing maintenance processes.

Claims (1)

Automated logistics information-intelligent decision-making system in the production and logistics complex, which contains 4 blocks: information and reference, settlement and logistics, intelligent, screen-cartographic; modules with internal databases are located inside the blocks; there is a possibility of accessing the knowledge base on the basis of queries; an information and reference block made with the possibility of information support in the form of collecting relevant information from the network-oriented architecture of the technical support of the production and logistics complex and a database of objects, processes, connections, information from the output of this block is fed to the input of the settlement and logistics block; a settlement and logistics unit capable of verifying the alternatives of the decisions made, and the substantiation of various processes taking place or predicted in the production and logistics complex is carried out on the basis of logistics rules; an intelligent unit capable of obtaining relevant information from the reference and settlement and logistic units, providing intelligent support for decisions made by presenting tested and verified decision alternatives based on the expert system and stored data in the knowledge base; screen-cartographic unit, which is the interface of the operator and the decision-maker when working with the logistics information and intellectual system, made with the ability to obtain information from the above-mentioned blocks, presenting ideas, alternatives and decision scenarios in the form of various screen forms in the videoconference mode and with approval by a superior management body or a superior decision-maker with a digital signature, the ability to visualize the information received on touch monitors or on a multimedia board.

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