IT.S2.COMPLANNING.0.Ex
Computer Aided Production Planning and Control

Our main goal is to give you a clear understanding of the different related concepts, principles, methodologies and specific computer solutions.
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Enrollment is Closed

About this course

This course aims primarily at a clear understanding of the topics and basic notions related to problems and solutions coming from computer aided planning and control of production processes. It is also the goal of the course to present the basic principles and models of this technical field, as well as to summarize the typical functions of the related computer integrated application systems. It is no secret that we would like to help you develop your general thinking, your ability in synthesis, your independent problem solving and last but not least to assist you in beginning a career as an application developer or a future user in this field.

Companies nowadays, especially industrial companies, face new challenges like globalization, world trade integration, rapid technological development, environmental changes and many other factors, which result in important competition challenges. Preservation of these companies, of their competitiveness and their development, depend greatly on their fast, flexible and efficient reaction, on obtaining a better price/quality/performance ratio, and on better utilization and synchronizing of their resources. All in all, they have to solve continuously a multi-objective optimization problem with many variables and constraints. It would seem to be a hard problem with no mathematical solution!

However, most specialists see a possible way to deal with this problem in the standardization and systematic integration of modern manufacturing technologies with information and communication technologies and with business processes. This course strives to present this integration, putting special emphasis on ICT, and on its components, and focusing on their increasing role in supporting companies.

In this respect, computers with their expanding networks and application systems, and with their complementary, sometimes “cloud-based” data storage devices and technologies, play the most outstanding role. At the same time, three-letter based acronyms like CIM - Computer Integrated Manufacturing, ERP - Enterprise Resource Planning, PLM - Product Lifecycle Management or MES - Manufacturing Execution Systems, condense and “integrate” concepts that are complex even for specialists.

The main goal of this course is to give you a clear understanding of the different concepts, principles, methodologies and specific computer solutions applied in practice. The emphasis is put on the synthesis of the content, and on its integrative features.

The course does not require special prior skills. It is structured in eleven modules. The first two parts summarize the most important basic concepts and related knowledge. The next three chapters are dedicated to the theoretical background of the topic. Then, presenting the subject of detailed scheduling for Flexible Manufacturing Systems is followed by reviewing the most important mathematical models used in production planning. In the last four modules the focus is set on computer-integrated solutions and their practice, including a draft presentation of one specific ERP application system.

prerequisites

The course does not require special prior skills.

Course Staff

Course Staff Image #3

Péter BIKFALVI

Dr. Univ., Engineering Sciences, 1997
Electrical engineer (MSc), 1981
University of Miskolc, Faculty of Mechanical Engineering and Informatics, Institute of Information Science, Department of Applied Information Engineering, senior lecturer
Homepage: Link
Email: bikfalvi@uni-miskolc.hu

Course Staff Image #1

Gyula KULCSÁR

PhD, Information Sciences, 2008
Information engineer (MSc), 2001
University of Miskolc, Faculty of Mechanical Engineering and Informatics, Institute of Information Science, Department of Applied Information Engineering, associate professor
Homepage: http://ait.iit.uni-miskolc.hu/~kulcsar
Email: iitkgy@uni-miskolc.hu

Course Staff Image #2

Mónika KULCSÁRNÉ FORRAI

Information engineer (MSc), 2001
University of Miskolc, Faculty of Mechanical Engineering and Informatics, Institute of Information Science, Department of Applied Information Engineering, assistant professor

Homepage: http://uni-miskolc.hu/~aitkfm
Email: aitkfm@uni-miskolc.hu

  1. Course Number

    IT.S2.COMPLANNING.0.Ex
  2. Classes Start

    Feb 06, 2017
  3. Classes End

    Jun 23, 2017
  4. Estimated Effort

    25:00