| Subject name (in Hungarian, in English) | Production planning and control | |||
|
Production planning and control
|
||||
| Neptun code | BMEGEGTNX11 | |||
| Type | study unit with contact hours | |||
| Course types and number of hours (weekly / semester) | course type: | lecture (theory) | exercise | laboratory excercise |
| number of hours (weekly): | 3 | 0 | 0 | |
| nature (connected / stand-alone): | - | - | - | |
| Type of assessments (quality evaluation) | exam | |||
| ECTS | 4 | |||
| Subject coordinator | name: | Dr. Monostori László István | ||
| post: | university professor | |||
| contact: | monostori@manuf.bme.hu | |||
| Host organization | Department of Manufacturing Science and Engineering | |||
| http://manuf.bme.hu/ | ||||
| Course homepage | https://manuf.bme.hu/?page_id=12604 | |||
| Course language | hungarian | |||
| Primary curriculum type | mandatory elective | |||
| Direct prerequisites | Strong prerequisite | none | ||
| Weak prerequisite | ||||
| Parallel prerequisite | ||||
| Milestone prerequisite | at least obtained 0 ECTS | |||
| Excluding condition | none | |||
Aim
The aim of the course is to present the basic problems, concepts, contexts and methods of production planning and management. Topics include inventory management, long- and medium-term production and capacity planning, detailed short-term scheduling, and ways to evaluate the operation of production systems. Students will get an idea of both the classical methods - which determine the operating principles of today's production information systems - and the results of modern research. We place special emphasis on developing modeling and analysis skills. Students of the subject will get a unified and realistic picture of the possibilities, limitations and new development directions of today's methods of production informatics.
Learning outcomes
Competences that can be acquired by completing the course
Knowledge
He is aware of the current problems of production informatics, the levels of design. He has a comprehensive knowledge of the basic methods of inventory management. Understands the mechanism of material requirements planning (MRP). He has a comprehensive knowledge of just in time and lean production concepts. He is aware of the basic modeling methods (decomposition, aggregation) and models of production informatics. Knows the basic concepts of production scheduling, its characteristic problems and rule-based solution methods. Understands the theoretical background and solution method of the constraint-based scheduling method. Understands the relationship between goals, measures, and controls that can be placed on production systems. Knows the methods for evaluating the dynamic operation of production lines. Knows the sources of variability and their impact on the operation of production systems.
Ability
Able to formulate requirements for a production IT system and select modules that support appropriate design functions. It evaluates the operation of a production unit according to just-in-time and lean approaches and makes decisions that improve the operation of the system. He also interprets the basic production planning problems in mathematical form. Capable of mathematics, resp. restriction on the interpretation of problems represented in the form of programming (code), optionally to create such code. Defines operational problems with dispatcher rules and solutions. Able to select and apply the appropriate method of inventory management. Defines a model for describing a scheduling problem with constraints and objective functions. It explores the sources of variability in a given production system and their effects. Identifies the components of a manufacturing system’s complex target system (KPI) and their relationships. It proposes interventions to address the operation of production systems exposed to variability.
Attitude
He constantly monitors his work, results and conclusions. It continuously expands your knowledge of the digitalization of industry through the acquisition of knowledge. Open to the use of information technology tools. It seeks to learn about state-of-the-art equipment planning and management. It seeks to understand the theoretical background and computational requirements of systems in practice. It applies the principles of cost-effectiveness and sustainability in solving production planning tasks. It monitors changes in the social, economic and political system. He publishes his independent work in accordance with the rules of the profession. It publishes its opinions and views without offending others.
Independence and responsibility
Collaborates with the instructor and fellow students to expand knowledge. Accepts well-founded professional and other critical remarks. In some situations, as part of a team, you work with your fellow students to solve tasks. With his knowledge, he makes a responsible, well-founded decision based on his analyzes. He feels responsible for the activities of the production management for competitive and sustainable production. He is committed to a high level of conceptual and systematic thinking, principles and methods of problem solving.
Teaching methodology
The subject is taught in the framework of a lecture. The lectures basically introduce the students to the information determined by the knowledge competence elements using the technique of frontal education. The application and skill-level acquisition of knowledge also takes place in the lectures, where some models of production planning can be studied in a mathematical programming framework, during operation. An independent optional task can even be solved in group work.
Support materials
Textbook
Hopp, WJ; Spearman, ML, Factory physics, Foundations of manufacturing management, IRWIN MCGRAW-HILL, 2nd Ed., 2001, ISBN 0-256-24795-1
Koltai, T., Production Management, Typotex, Budapest, 2006, ISBN: 978-963-2790-35-0
Lecture notes
László Monostori, József Váncza: Production planning and management. Subject guide, 2018.
Online material
http://www.sztaki.mta.hu/~vancza/PPC
Validity of the course description
| Start of validity: | 2024. January 1. |
| End of validity: | 2028. July 15. |
General rules
Learning outcomes are assessed on the basis of two mid-year written summary performance measurements (in-house). Summative academic performance appraisal is a complex, written way of assessing the knowledge and ability type competence elements of the subject in the form of an in-house dissertation, which requires the necessary lexical knowledge during the performance appraisal, the working time is 60 minutes. A mid-year written summary performance measurement can be triggered by completing a voluntary homework assignment, which is a complex way of assessing subject-type knowledge, ability, attitude, and autonomy and responsibility type competency elements. The homework can be done individually or in groups. A prerequisite for admission to the semester exam is that both those whose both indoor papers reach at least the sufficient level. If the results of both mid-year written summary performance measurements (in-house) are at least average, an examination ticket can be recommended based on these.
Assessment methods
Detailed description of mid-term assessments
| Mid-term assessment No. 1 | ||
| Type: | summative assessment | |
| Number: | 2 | |
| Purpose, description: | Summative assessments collectively examine and assess students ’learning outcomes defined by knowledge and ability type competencies. Accordingly, each summative assessment assesses the acquisition of the selected knowledge and the application of the acquired knowledge and skills. Each summative assessment focuses 65% on theoretical knowledge and 35% on application skills. They will be completed on the date specified in the academic performance evaluation plan, expected to be in the 7th and 12th weeks of education. 50-50 points can be obtained on summary performance evaluations. A minimum of 50% must be achieved on each. During the semester, a closed place can be replaced in the last teaching week. A prerequisite for admission to the semester exam is that both dissertations must reach at least a sufficient level. | |
| Mid-term assessment No. 2 | ||
| Type: | formative assessment, point-in-time personal act | |
| Number: | 1 | |
| Purpose, description: | The basic goal of partial performance assessment is to examine the existence of attitudes and learning outcomes belonging to the autonomy and responsibility competence group. The way to do this is to create a project assignment that can be done voluntarily, either individually or in groups. The assignments and the assignment of groups of up to 2 people must be finalized by the third week of education. The content and form requirements and evaluation principles of the prepared project dissertation are included in the terms of reference. It will be completed on the date specified in the academic performance evaluation plan, expected to be in the 13th week of education. The task can earn a maximum of 50 points and can trigger an arbitrary summative assessment (in-house). | |
Detailed description of assessments performed during the examination period
Elements of the exam:
| Written partial exam | ||
| Obligation: | mandatory (partial) exam unit, failing the unit results in fail (1) exam result | |
| Description: | The written exam assesses students ’learning outcomes determined by knowledge and ability type competencies. Accordingly, it assesses the acquisition of the designated theoretical knowledge, as well as the existence of the acquired knowledge and the application of skills. 65% of the written exam focuses on theoretical knowledge and 35% on application skills. A total of 50 points can be earned and a minimum of 50% must be achieved to reach a sufficient level. A prerequisite for admission to the semester exam is that both dissertations must reach at least a sufficient level. If the results of both mid-year written summary performance measurements (in-house) are at least average, an examination ticket can be recommended based on the average of their scores. | |
| Oral partial exam | ||
| Obligation: | does not apply | |
| Description: | ||
| Practical partial exam | ||
| Obligation: | does not apply | |
| Description: | ||
| Inclusion of mid-term results | ||
| Obligation: | mandatory (partial) exam unit, failing the unit results in fail (1) exam result | |
| Description: | The basic causal relationships, the application of the theory and its connection with practice, its applicability are checked in the exam. A prerequisite for admission to the semester exam is that both dissertations must reach at least a sufficient level. If the results of both mid-year written summary performance measurements (in-house) are at least average, an examination ticket can be recommended based on the average of their scores. | |
The weight of mid-term assessments in signing or in final grading
| ID | Proportion |
|---|---|
| Mid-term assessment No. 1 | 50 % |
| Mid-term assessment No. 2 | 50 % |
The condition for signing is that the score obtained in the mid-year assessments is at least 40%.
The weight of partial exams in grade
| Type: | Proportion |
|---|---|
| Written partial exam | 100 % |
| Inclusion of mid-term results | 100 % |
Determination of the grade
| Grade | ECTS | The grade expressed in percents |
|---|---|---|
| very good (5) | Excellent [A] | above 92 % |
| very good (5) | Very Good [B] | 85 % - 92 % |
| good (4) | Good [C] | 71 % - 85 % |
| satisfactory (3) | Satisfactory [D] | 56 % - 71 % |
| sufficient (2) | Pass [E] | 41 % - 56 % |
| insufficient (1) | Fail [F] | below 41 % |
The lower limit specified for each grade already belongs to that grade.
Attendance and participation requirements
Must be present at at least 50% (rounded down) of lectures.
Special rules for improving, retaken and replacement
The special rules for improving, retaken and replacement shall be interpreted and applied in conjunction with the general rules of the CoS (TVSZ).
| Need mid-term assessment to invidually complete? | ||
| yes | ||
| The way of retaking or improving a summary assessment for the first time: | ||
| each summative assessment can be retaken or improved | ||
| Is the retaking-improving of a summary assessment allowed, and if so, than which form: | ||
| retake or grade-improving exam not possible | ||
| Taking into account the previous result in case of improvement, retaken-improvement: | ||
| new result overrides previous result | ||
| The way of retaking or improving a partial assessment for the first time: | ||
| partial assesment(s) in this group cannot be improved or repeated, the final result is assessed in accordance with Code of Studied 122. § (6) | ||
Study work required to complete the course
| Activity | hours / semester |
|---|---|
| participation in contact classes | 42 |
| preparation for summary assessments | 32 |
| exam preparation | 28 |
| additional time required to complete the subject | 18 |
| altogether | 120 |
Validity of subject requirements
| Start of validity: | 2024. January 1. |
| End of validity: | 2028. July 15. |
Primary course
The primary (main) course of the subject in which it is advertised and to which the competencies are related:
Mechanical engineering
Link to the purpose and (special) compensations of the Regulation KKK
This course aims to improve the following competencies defined in the Regulation KKK:
Knowledge
- Student is familiar with the general and specific mathematical, scientific and social principles, rules, contexts and procedures needed to operate in the field of engineering.
- Student has the broad theoretical and practical knowledge, methodological and practical skills for the design, manufacture, modelling, operation and management of complex engineering systems and processes.
- Student has the knowledge and understanding of computer modelling and simulation tools and methods relevant to the field of engineering.
Ability
- Student has the ability to apply the general and specific mathematical, scientific and social principles, rules, relationships and procedures acquired in solving problems in the field of engineering.
- Student has the ability to master the global design of complex systems based on a systems and process-oriented mindset.
- Student has the ability to use information and communication technologies and methods to solve technical problems.
Attitude
- Student strives to carry out their work in a complex approach based on a systems and process-oriented thinking.
- Student strives to plan and carry out tasks to a high professional standard, either independently or in a team.
- Student is open and receptive to learning, embracing and authentically communicating professional, technological development and innovation in engineering.
Independence and responsibility
- Student acts independently and proactively in solving professional problems.
- Student takes responsibility for the sub-processes under student's management.
- Student's decisions are taken independently and in a prudent manner, in consultation with other disciplines (in particular legal, economic, energy and environmental), for which Student takes responsibility.
Prerequisites for completing the course
|
Knowledge type competencies
(a set of prior knowledge, the existence of which is not obligatory, but greatly facilitates the successful completion of the subject) |
none |
|
Ability type competencies
(a set of prior abilities and skills, the existence of which is not obligatory, but greatly contributes to the successful completion of the subject) |
none |