Module also offered within study programmes:
General information:
Name:
Management engineering
Course of study:
2013/2014
Code:
RMS-1-708-s
Faculty of:
Mechanical Engineering and Robotics
Study level:
First-cycle studies
Specialty:
-
Field of study:
Mechatronics with English as instruction languagege
Semester:
7
Profile of education:
Academic (A)
Lecture language:
English
Form and type of study:
Full-time studies
Course homepage:
 
Responsible teacher:
dr hab. inż. Kaczmarczyk Waldemar (wkaczmar@zarz.agh.edu.pl)
Academic teachers:
dr hab. inż. Kaczmarczyk Waldemar (wkaczmar@zarz.agh.edu.pl)
Module summary

Description of learning outcomes for module
MLO code Student after module completion has the knowledge/ knows how to/is able to Connections with FLO Method of learning outcomes verification (form of completion)
Skills
M_U002 Ability to solve chosen PEM with help of simple algorithms Test,
Project,
Scientific paper
M_U003 Ability to build simulation and/or mathematical model of PEM Test,
Project,
Scientific paper
Knowledge
M_W001 Knowledge of basic Problems of Engineering Management (PEM) Test,
Project,
Scientific paper
M_W005 Knowledge of methods applied to solve PEM Test,
Project,
Scientific paper
M_W007 Understanding of basic processes in manufacturing and logistic systems Test,
Project,
Scientific paper
M_W008 Knowledge of basic methods of control applied in manufacturing and logistic systems Test,
Project,
Scientific paper
FLO matrix in relation to forms of classes
MLO code Student after module completion has the knowledge/ knows how to/is able to Form of classes
Lecture
Audit. classes
Lab. classes
Project classes
Conv. seminar
Seminar classes
Pract. classes
Others
Zaj. terenowe
Zaj. warsztatowe
E-learning
Skills
M_U002 Ability to solve chosen PEM with help of simple algorithms + - - - - + - - - - -
M_U003 Ability to build simulation and/or mathematical model of PEM + - - - - + - - - - -
Knowledge
M_W001 Knowledge of basic Problems of Engineering Management (PEM) + - - - - + - - - - -
M_W005 Knowledge of methods applied to solve PEM + - - - - + - - - - -
M_W007 Understanding of basic processes in manufacturing and logistic systems + - - - - + - - - - -
M_W008 Knowledge of basic methods of control applied in manufacturing and logistic systems + - - - - + - - - - -
Module content
Lectures:

  1. Inventory control:
    a) Economical Order Quantity,
    b) variable demand,
    c) stock replenishment policies,
    d) joint replenishment planning,
    e) multilevel lot-sizing,
  2. Materials Requirements Planning (MRP)
  3. Manufacturing Resource Planning (MRP II)
  4. Lot-sizing and scheduling
  5. Manufacturing scheduling
  6. Resource constrained project scheduling
  7. Transport and distribution planning
  8. Quality control
  9. Stochastic processes and queues theory
  10. Discrete event simulation applied in operations management
  11. Variability and stochastic processes manufacturing and logistic systems
  12. Push and pull systems: comparison of MRP, just-in-time and conWIP
  13. Production control oriented on bottlenecks – TOC / OPT®

Seminar classes:

  1. Inventory control:
    a) Economical Order Quantity,
    b) variable demand,
    c) stock replenishment policies,
    d) joint replenishment planning,
    e) multilevel lot-sizing,
  2. Materials Requirements Planning (MRP)
  3. Manufacturing Resource Planning (MRP II)
  4. Lot-sizing and scheduling
  5. Manufacturing scheduling
  6. Resource constrained project scheduling
  7. Transport and distribution planning
  8. Quality control
  9. Stochastic processes and queues theory
  10. Discrete event simulation applied in operations management
  11. Variability and stochastic processes manufacturing and logistic systems
  12. Push and pull systems: comparison of MRP, just-in-time and conWIP
  13. Production control oriented on bottlenecks – TOC / OPT®

Student workload (ECTS credits balance)
Student activity form Student workload
Summary student workload 30 h
Module ECTS credits 1 ECTS
Participation in lectures 15 h
Participation in seminar classes 15 h
Additional information
Method of calculating the final grade:

Weighted average of grades:

Weight Grade
40% Test
30% Project
30% Report
Prerequisites and additional requirements:

Basic course in mathematics

Recommended literature and teaching resources:
  1. Wallace J. Hopp, Mark L. Spearman, 2008, Factory Physics, McGraw-Hill.
  2. James Ignizio, 2009, Optimizing Factory Performance, McGraw-Hill.
  3. Edward A. Silver, David F. Pyke, Rein Peterson, Inventory management and production planning and scheduling, John Wiley & Sons, New York, 1998.
Scientific publications of module course instructors related to the topic of the module:

Additional scientific publications not specified

Additional information:

None