Industrial Engineering for Science Consuming Industry. Part 1. Tutorial
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MODULE 2: ENGINEERING
The Discipline: «Information resources and intelligent systems of hi-tech industries. Modeling of industries (software packages)»
1. Brief description of the discipline (module)
In the process of studying the discipline master students get acquainted with the basic resources necessary to conduct analytical work and the management at the company. Learn and gain practical skills for finding the information needed to make strategic and operational decisions. Get acquainted with the theory and practice of using intelligent systems in the modern hi-tech enterprises. Explore and acquire basic skills in modern systems of modeling of production processes from the creation of drawings to their conversion into technological cards.
2. The objectives of mastering the discipline
This discipline is intended to give an idea about the nature and types of information resources, intellectual systems and packages of production modeling and ways of their application in the practice of the head of a hi-tech enterprise.
3.Expected results formulated in the format of competencies
The competencies of the student, formed as a result of mastering
the discipline.
Competence Index SK-5
Statement: knows mathematical apparatus, has skills in the use of modern information technology, along with methods of statistics, simulation, optimization, standardization and certification for quality assessment, management and forecasting efficiency of technological and manufacturing processes;
Component composition of competence
Each competency has a component composition of competence, including the following wording: knowledge, abilities, skills.
knowledge:
1.The basic concepts of modern information technologies;
2.The practical aspects of the production statistics;
3.The basic concepts of quality control technology and management processes;
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4.The concepts of quality management of processes and products;
5.The main methods of predicting the effectiveness of technological and management processes.
abilities:
1.put into practice the methods of statistical analysis;
2.assess the condition of the quality system;
3.model technological and management processes;
4.predict the level of efficiency of production and management subsystems
5.carry out the procedures of standardization processes. skills:
1.The mathematical apparatus of hi-tech technologies;
2.The use of intelligent technologies;
3.The modeling of technological processes;
4.The modeling of management processes;
5.The optimization of technological and management processes.
Competence Index SC-7
Statement: knows the methods of engineering analysis and is capable of determining compliance with the qualitative characteristics of the equipment and products to established norms; is able to formulate technical requirements for products and technologies being developed, to determine the technical conditions of operation and maintenance of new equipment;
Component composition of competence
Each competency has a component composition of competence, including the following wording: knowledge, abilities, skills.
knowledge:
1.Software types of engineering analysis means;
2.Software types of means of automation of software-aided design;
3.The types of organizational and technical systems to ensure the management of all product information;
4.The types of technologies which are included in the system of product data management (PDM);
5.The national and international standards governing the quality of products or manufacturing processes.
abilities:
1. determine compliance with the qualitative characteristics of the equipment and products established by the norms;
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2.analyze the technical requirements for products and technologies;
3.analyze and predict the technical conditions of future operation and maintenance of new equipment.
skills:
1.The methods of engineering analysis;
2.The methods for determining compliance with the qualitative characteristics of the equipment and products established by the norms;
3.The ability to write technical requirements for products that are being developed;
4.The identification of necessary technical conditions of operation and maintenance of new equipment.
4. The content of the discipline
Calendar-thematic plan of study of the subjects (modules), indicating types of academic work, including the independent work of students and labor intensity (in hours): lectures, seminars and CDS; forms of ongoing monitoring of performance (by weeks of the semester) and forms of interim certification (per semester)
Module 1: Information resources and intelligent systems of hi-tech industries
1.1. Information resources of companies: definition and structure:
2-2-16
1.2.Communicative environment of an organization: 2-2-5
1.3.Database and knowledge base in the activity of enterprises: 2-
2-6
1.4.Information resources of the enterprise: legal aspects: 2-2-5
1.5.Approaches to the definition and research models of artificial intellect: 2-2-5
1.6.Fundamentals of creating intellectual information systems of hi-tech industries: 2-2-6
1.7.Fundamentals of intelligent dialogue systems: 2-2-5
1.8.Impact of the use of intelligent systems on the quality of technology and management processes: 2-2-5
Module 2: Modeling of industries (software packages)
2.1.Automated systems of company management: 2-2-6
2.2.Integrated packages of automated design systems: 2-2-6
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2.3.Supply Chain Management Packs: 2-2-5
2.4.Product Lifecycle Management System: 2-2-6
2.5.CALS-technologies: methodical and software solutions: 2-2-6
2.6.Automated control systems of the technological process: 2-2-6
2.7.Programmable logical controllers and distributed control systems: 2-2-6
5. Contents of lectures
Module 1: Information resources and intelligent systems of hi-tech industries
Theme 1.1. Information resources of enterprises: definition and structure
Data. Information. Knowledge. Information resources. Intelligent resources. Information resources of the enterprise. Dynamics of Information Resources share in value added. The law of increasing returns from information resources. The structure of information resources: external and internal; global, national and regional. Global resources: business information, scientific and technical information, consumer information. National resources: federal, regional and joint.
Theme 1.2. Communicative environment and information flows in the organization
The concept of communicative environment of enterprises. Structure and function of communication. Types of business communication. Special features of business communication. Channels of communication. Means of information transfer. Local information environment. Modeling of information flows in the organization in notation DFD (Data Flow Diagram).
Theme 1.3. Database and knowledge base in enterprises
The model of organizing database (DB): hierarchical, objectrelational, networking. Classification according to the degree of distribution: centralized, distributed. Spatial database. Temporary database. Cyclic database. A database management system (DBMS). Classification according to the means of accessing the database: the file-server, clientserver, built-in. Knowledge Base. Metadata. Automatic conclusions. Knowledge Engineering. Ontology in knowledge base. Introspection. Expert system. Institutional memory.
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Theme 1.4. Information resources of the enterprise: legal
aspects
Informational aspects of intellectual property. Legal regulation of access to information resources. Legal regulation of relations in the field of trade secrets. Legal regulation of relations in the field of personal data.
Theme 1.5. Approaches to the definition and models of artificial intelligence research
The concept of human intellect. Criteria of «intelligence» - the Turing test, the hypothesis of Nella-Simon. Approaches to the development of artificial intelligence: descending (semiotic), ascending (biological). Symbolic modeling. Work with natural languages. Knowledge Engineering. Machine Learning.
Theme 1.6. Fundamentals of building intelligent information systems of hi-tech industries
Classification of intelligent information systems (MIS). Expert systems. The classification of problems solved by MIS. Interpretation of the data. Diagnostics. Monitoring. Design. Forecasting. Planning. Education. Classification of expert systems. Stages of development of expert systems. Examples of expert systems.
Theme 1.7. Fundamentals of building intelligent dialogue
systems
General idea of the dialogue systems. The concept of the dialogue. Special features of dialogue systems and their types. The scenario approach in the creation of dialogue systems. Intelligent interface and its types. The intended use of natural language. The structure of MIS and its components. Speech dialogue systems. A method and system for providing voice interface. Control system and the base of linguistic knowledge in the dialogue.
Theme 1.8. Impact of the use of intelligent systems for quality technology and management processes
Labor productivity. Functional efficiency. Business efficiency. The quality of customer service. Establishment and improvement of production. Ability to change the fundamentals of competition. Securing customers and removing competitors. Strategic Management. Internal control. Relationships with stakeholders.
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Module 2: Modeling of industries (software packages) Theme 2.1. Automated company managing systems (ACMS)
Software, hardware, information, linguistic, organizational and technological means of enterprise management. ACMS management subsystem. Methodology of MRP. Methodology ERP. Examples of foreign and domestic CAM.
Theme 2.2. Integrated packages of computer-aided design
Computer-aided design. CAD-systems. Examples of popular domestic and foreign CAD-systems. CAE-systems. Examples of popular domestic and foreign CAE-systems. CAM-system. Examples of popular domestic and foreign CAM-systems. The advantages of integrating individual CAD systems into a single software package. Examples of popular domestic and international CAD / CAM / CAE-systems.
Theme 2.3. Packages Supply Chain Management
Supply Chain Management. Process understanding. Object understanding. Supply chain management system. SCP (supply chain planning) - supply chain planning. SCE (Supply chain execution) - execution of supply chains. SCM-functionality systems.
Theme 2.4. System Product Lifecycle Management
The life cycle of the product. Lifecycle. PLM-system (product lifecycle management). PDM-system (product data management) as an integrator of CAD / CAM / CAE-systems. The role of individual automation packages of the company in product lifecycle management.
Theme 2.5. CALS-technologies: methodical and software solutions
The concept of CALS-technologies. The advantages of using the design of high-tech products. Data exchange between the participants. Open distributed design systems. Uniformity problem of descriptions and interpretation of data. Data formats - IGES and STEP. CALS-standards in Russia, GOST R ISO 10303. Virtual production - the prospect of CALStechnologies.
Software solutions on the example of development of SRC «Applied Logistics».
Theme 2.6. Automated process control systems
The concept of the control system. Elements of the control system. Supervisory control and data acquisition (SCADA). Distributed Control Systems (DCS). The system operator control. Sensors. Control device. Actuators. Industrial networks. Unlike the control system of the equipment (control and instrumentation and automation).
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Theme 2.7. Programmable logic controllers and distributed control systems
Industrial controllers. Unlike PLCs from other industrial cybernetic devices. The electronic control unit. Structure of control systems. Distributed control systems. Scope of application of the DCS. Requirements for DCS. Man-machine interface.
6. Contents of seminars / workshops / labs
Lesson 1: Working in the public domain of information resources of the enterprise
Lesson in the computer lab with Internet access. Introduction of web sites where you can get or buy information concerning the activities of the enterprise. Business Information Agency «Business Card». «ACS Impulse» Business Directory and Database. Garant. Integrum-Techno. Informsystem. Marketing Union. All-Russian Network ConsultantPlus.
Lesson 2: Modeling the flow of information within the organization.
Using your computer. Completing quests for the modeling of information flows in the program MS Visio.
Lesson 3: Working with the database management system
Work on a computer database MS Access. Performance of tasks designed to consolidate the knowledge about the architecture and capabilities of modern DBMS.
Lesson 4: A seminar on issues of information law
Hearing reports on intellectual property, access to information resources, commercial secrets, personal data.
Lesson 5: A seminar on applied aspects of artificial intelligence
Hearing reports on philosophical and applied aspects of artificial intelligenc
Lesson 6: Working with expert systems
Work on a computer expert system ExPRO4.9
Lesson 7: Working with expert systems
Work on a computer expert system ExPRO4.9
Lesson 8: A seminar on the impact of information and intelligence systems on productivity
Undergraduates’ reports and their discussion.
Lesson 9: Introduction to ERP-system Galaxy Express
Work with the program. Introduction to the basic functions.
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Lesson 10: Introduction to SolidWorks CAMPUS
Work with the program. Introduction to the basic functions.
Lesson 11: Introduction to SCM-system
Work with the program. Introduction to the basic functions.
Lesson 12: A seminar on the possibilities of modern technology
Cals-
Undergraduates reports and their discussion.
Lesson 13: A seminar on the possibilities of modern process control system
Undergraduates’ reports and their discussion.
Lesson 14: A seminar on modern programmable controllers and distributed control systems
Undergraduates’ reports and their discussion.
Tasks for independent work of students, forms of organization, conduct and control of ISW.
In addition to independent work for practical exercises, the undergraduates are given themes of abstracts:
1.Identification and knowledge presentation.
2.Intelligent information systems in various subject areas
3.Intelligent CAD.
4.Intelligent control economic entities.
5.The methodology for developing expert systems.
6.Review of current expert systems.
7.The expert system exterior.
8.Fundamentals of the theory of artificial intelligence.
9.Prospects for the development of expert systems
10.Decision making support systems.
11.Static and dynamic expert systems
12.Difficulties in the development of expert systems.
13.Stages of development of expert systems
Requirements for the format of the abstract
An abstract (reference work) done in A4 format (297x210 mm) printed on one side of the page. The text should be printed in one and a half line spacing using font Times New Roman №14 (footnotes can be printed in font №12).
Dimensions of the page fields: top and bottom - 20 mm, left - not more than 30 mm, right - not more than 10 mm. Using the ink of different colors is allowed only for the execution of graphic works, and for the main text black ink must be used.
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The contraction of the words and phrases, not provided by the norms, are not allowed.
The recommended volume of the abstract without applications should be at least 15 but not more than 20 pages. Large tables and figures may be made in the form of applications on sheets of drawing paper format A3 (297x420 mm). The volume of applications is not limited.
Typos, misprints and errors may be corrected by a white correction pen and the corrected text should be typed or handwritten over it in paste or ink. There should be no more than 2 corrections on one page.
The page number must be located in the middle of the top margin of the relevant page (font №14). Page numbering is set, starting from the first page (title page), but on the first page number is not affixed. Page numbers in the text should start with the number 2 (page «Index»). Paragraphs in the text should begin with an indent of 1.25 cm.
Work must be done in a clear logical sequence. Sections can be broken down into subsections, which should have serial numbering within each section.
The abstract (reference work) should be given in by a student printed out and presented orally.
7. Tasks for independent work of students, forms of organization, conduct and control of ISW
In addition to independent learning, the undergraduates are given themes of abstracts:
1.Identification and knowledge presentation.
2.Intelligent information systems in various subject areas
3.Intelligent CAD.
4.Intelligent systems of economic entities control.
5.The methodology for developing of expert systems.
6.The review of current expert systems.
7.The exterior of expert systems.
8.The fundamentals of the theory of artificial intelligence.
9.The prospects of expert systems development.
10.Decision making support systems.
11.Static and dynamic expert systems
12.The difficulties in the development of expert systems.
13.The stages of development of expert systems
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Requirements for the abstract format
An abstract (reference work) done in A4 format (297x210 mm) printed on one side of the page. The text should be printed in one and a half line spacing using font Times New Roman №14 (footnotes can be printed in font №12).
Dimensions of the page fields: top and bottom - 20 mm, left - not more than 30 mm, right - not more than 10 mm. Using the ink of different colors is allowed only for the execution of graphic works, and for the main text black ink must be used.
The contraction of the words and phrases, not provided by the norms, are not allowed.
The recommended volume of the abstract without applications should be at least 15 but not more than 20 pages. Large tables and figures may be made in the form of applications on sheets of drawing paper format A3 (297x420 mm). The volume of applications is not limited.
Typos, misprints and errors may be corrected by a white correction pen and the corrected text should be typed or handwritten over it in paste or ink. There should be no more than 2 corrections on one page.
The page number must be located in the middle of the top margin of the relevant page (font №14). Page numbering is set, starting from the first page (title page), but on the first page number is not affixed. Page numbers in the text should start with the number 2 (page «Index»). Paragraphs in the text should begin with an indent of 1.25 cm.
Work must be done in a clear logical sequence. Sections can be broken down into subsections, which should have serial numbering within each section.
The abstract (reference work) should be given in by a student printed out and presented orally.
8. Control measuring materials for ongoing monitoring of progress, interim certification on the basis of the mastering of the discipline
Monitoring of the progress is made during the execution of tasks provided for this course by the undergraduates, namely the assessment of the quality of reports and presentations provided in this work program, and the results of task execution on mastering the information resources and production modeling of industries. At the end of the semester the undergraduates should give in an abstract on one of the topics listed in paragraph 6 of this work program.
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