040137 UK ABWL Production and Logistics II (2022S)
Continuous assessment of course work
Labels
Summary
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 07.02.2022 09:00 to Mo 21.02.2022 23:59
- Registration is open from Fr 25.02.2022 12:00 to Tu 01.03.2022 12:00
- Deregistration possible until Mo 14.03.2022 23:59
Registration information is available for each group.
Groups
Group 1
max. 50 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Test dates:
- Midterm, Monday, 25.04.2022
- Endterm, Monday, 20.06.2022
- Excel test, Thursday, 30.06.2022
Currently, we are assuming that all 3 tests will be written on-site at OMP. However, this may change over the course of the semester due to COVID-19, so individual tests might be written digitally/online.Note about the Excel test:
In the event that it will be possible to write the Excel test on-site due to COVID-19, students will be divided into 3 groups that will write the Excel test one at a time in the OMP PC rooms. This is necessary because the number of participants in the PC rooms is limited.Note about the classroom sessions:
At the moment we assume that all classes can be held in presence at the OMP. However, this may change over the course of the semester due to COVID-19, so individual dates may be held digitally.
- Thursday 10.03. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 17.03. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 24.03. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 31.03. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 07.04. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 04.05. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 11.05. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Thursday 12.05. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 19.05. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 02.06. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 09.06. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
-
Monday
20.06.
16:45 - 18:15
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock -
Thursday
30.06.
08:05 - 09:35
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Thursday 30.06. 09:45 - 11:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Thursday 30.06. 09:45 - 13:10 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
-
Thursday
30.06.
11:30 - 13:00
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Thursday 30.06. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Thursday 30.06. 13:15 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Aims, contents and method of the course
Assessment and permitted materials
1. Homework (15%):
On Mondays when new chapters of the course are unlocked, homework exercises will also be posted in Moodle. The solutions of those are to be uploaded to Moodle by the next Monday (or a later Monday if, for example, holidays shift the schedule) and additionally a list of the solved tasks is to be filled in Moodle. On Thursdays, 09:45 -11:15, there will be face-to-face sessions at OMP to discuss the homework assignment. Individual students will be called upon to present the solution to their homework assignment. The course has an immanent examination character, i.e. attendance is compulsory during the presence sessions for all those who want to receive points for the homework. Points will be awarded according to the homework handed in and exercises ticked, as well as the presentation of the homework in case of a presentation. If the solution is not handed in, the list is not filled in or the student is not present (without excuse), no points will be awarded for the homework.2. Intermediate test (40%)
After approximately half of the units, there will be a written examination of the contents discussed up to that point.3. Excel test (15%)
Since one focus of the course is on solving examples with the Excel Solver, there will be an Excel test at the end of the course in which one or more examples have to be solved applying the Excel Solver.4. Final test (30%)
At the end of the course there is a written examination of the contents. The focus is on the contents that were presented after the intermediate test.
On Mondays when new chapters of the course are unlocked, homework exercises will also be posted in Moodle. The solutions of those are to be uploaded to Moodle by the next Monday (or a later Monday if, for example, holidays shift the schedule) and additionally a list of the solved tasks is to be filled in Moodle. On Thursdays, 09:45 -11:15, there will be face-to-face sessions at OMP to discuss the homework assignment. Individual students will be called upon to present the solution to their homework assignment. The course has an immanent examination character, i.e. attendance is compulsory during the presence sessions for all those who want to receive points for the homework. Points will be awarded according to the homework handed in and exercises ticked, as well as the presentation of the homework in case of a presentation. If the solution is not handed in, the list is not filled in or the student is not present (without excuse), no points will be awarded for the homework.2. Intermediate test (40%)
After approximately half of the units, there will be a written examination of the contents discussed up to that point.3. Excel test (15%)
Since one focus of the course is on solving examples with the Excel Solver, there will be an Excel test at the end of the course in which one or more examples have to be solved applying the Excel Solver.4. Final test (30%)
At the end of the course there is a written examination of the contents. The focus is on the contents that were presented after the intermediate test.
Minimum requirements and assessment criteria
The evaluation is based on the following grading system (in %):
[88,100]: 1
[76,88[ : 2
[63,76[ : 3
[50,63[ : 4
< 50 : 5
[88,100]: 1
[76,88[ : 2
[63,76[ : 3
[50,63[ : 4
< 50 : 5
Examination topics
Full course content.
Introduction into LP modelling
Traveling Salesman Problem: heuristic and exact solution methods, LP model
Multi-period programme planning for multiple product and multiple capacity types, LP model
Demand forecasting
Material requirements planning: stochastic models, newsvendor problem
Lot size planning: exact solution methods for deterministic, dynamic single-product models
Scheduling: acceleration within network plans, LP model
Production scheduling, machine schedulingThe slides of each unit will be made available on Moodle.
Introduction into LP modelling
Traveling Salesman Problem: heuristic and exact solution methods, LP model
Multi-period programme planning for multiple product and multiple capacity types, LP model
Demand forecasting
Material requirements planning: stochastic models, newsvendor problem
Lot size planning: exact solution methods for deterministic, dynamic single-product models
Scheduling: acceleration within network plans, LP model
Production scheduling, machine schedulingThe slides of each unit will be made available on Moodle.
Reading list
All materials provided in Moodle as well as the script, which is available from Ms Carina Artner-Konecny during office hours, serve as course materials.
Group 2
max. 50 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
see German version (as the language of the lecture is German)
- Wednesday 09.03. 11:30 - 13:00 Digital
- Wednesday 16.03. 11:30 - 13:00 Digital
- Wednesday 23.03. 11:30 - 13:00 Digital
- Wednesday 30.03. 11:30 - 13:00 Digital
- Wednesday 06.04. 11:30 - 13:00 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 27.04. 11:30 - 13:00 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 04.05. 11:30 - 13:00 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 11.05. 11:30 - 13:00 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 18.05. 11:30 - 13:00 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 25.05. 11:30 - 13:00 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 01.06. 11:30 - 13:00 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 08.06. 11:30 - 13:00 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 15.06. 11:30 - 13:00 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 22.06. 11:30 - 13:00 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 30.06. 13:15 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Aims, contents and method of the course
see German version (as the language of the lecture is German)
Assessment and permitted materials
see German version (as the language of the lecture is German)
Minimum requirements and assessment criteria
see German version (as the language of the lecture is German)
Examination topics
Introduction into LP-Modelling
Traveling Salesman Problem: heuristic and exact solution methods, LP-model
Multi-period program planning for multiple product and multiple capacity types, LP-model
Demand forecasting
Material requirements planning: Stochastic models, newsvendor problem
Lot size planning: Exact solution methods for deterministic, dynamic single-product models
Scheduling: Acceleration within network plans, LP-model
Production scheduling, machine scheduling.The slides are made available on Moodle.
Traveling Salesman Problem: heuristic and exact solution methods, LP-model
Multi-period program planning for multiple product and multiple capacity types, LP-model
Demand forecasting
Material requirements planning: Stochastic models, newsvendor problem
Lot size planning: Exact solution methods for deterministic, dynamic single-product models
Scheduling: Acceleration within network plans, LP-model
Production scheduling, machine scheduling.The slides are made available on Moodle.
Reading list
see German version (as the language of the lecture is German)
Group 3
max. 50 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Midterm, Monday 25th April 2022
Endterm, Monday 20th June 2022
Exceltest, Thursday 30th June 2022
We currently assume that all 3 tests will be written on-site at the OMP. However, this may change during the semester due to Covid-19 and may be switched to digital.Note on the Excel test:
In case it will be possible to write the Excel test on-site (in accordance with the current Covid-19 situation), the students will be divided into 3 groups that will write the Excel test one after the other in the PC rooms of the OMP. This is necessary because the number of participants in the PC rooms is limited.
- Monday 07.03. 15:00 - 16:30 Digital
- Monday 14.03. 15:00 - 16:30 Digital
- Monday 21.03. 15:00 - 16:30 Digital
- Monday 28.03. 15:00 - 16:30 Digital
- Monday 04.04. 15:00 - 16:30 Digital
- Monday 25.04. 15:00 - 16:30 Digital
- Monday 25.04. 18:30 - 20:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 02.05. 15:00 - 16:30 Digital
- Monday 09.05. 15:00 - 16:30 Digital
- Monday 16.05. 15:00 - 16:30 Digital
- Monday 23.05. 15:00 - 16:30 Digital
- Monday 30.05. 15:00 - 16:30 Digital
- Monday 13.06. 15:00 - 16:30 Digital
- Monday 20.06. 15:00 - 16:30 Digital
- Monday 20.06. 16:45 - 18:15 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 27.06. 15:00 - 16:30 Digital
Aims, contents and method of the course
In the new Bachelor's degree curricula in Business Administration and International Business Administration (version 2014), the first step is to complete the introductory phase (15 ECTS). Then a total of 5 ABWL modules are to be completed in the core phase. One of these is Production and Logistics. Like most other ABWL modules, it consists of two parts: first the introductory lecture ABWL Production and Logistics I has to be completed, then the practical course ABWL Production and Logistics II.
The aim of this course is to deepen and expand the knowledge acquired in the lecture Production and Logistics I. The students are introduced to problems/models from the field of production and logistics in order to independently analyse problems and solve them with appropriate quantitative methods.Content of the course:
Introduction to LP Modelling
Traveling Salesman Problem: heuristic and exact solution methods, LP model
Multi-period programme planning for multiple product and multiple capacity types, LP model
Demand forecasting
Material requirements planning: Stochastic models, newsvendor problem
Lot size planning: Exact solution methods for deterministic, dynamic single-product models
Scheduling: Acceleration within network plans, LP model
Production scheduling, machine scheduling.The course consists primarily of lectures in which the theory is discussed, reviews of the homework in which the most significant/frequent errors of the students are addressed, and Excel tutorials. These take place partly live in Moodle and partly via recordings.
Essential components of the course are also the solving of homework exercises, which are not compulsory but included in the assessment and can be seen as preparation for the exams, and the use of Excel, as Excel is part of the homework exercises and an exam.
The aim of this course is to deepen and expand the knowledge acquired in the lecture Production and Logistics I. The students are introduced to problems/models from the field of production and logistics in order to independently analyse problems and solve them with appropriate quantitative methods.Content of the course:
Introduction to LP Modelling
Traveling Salesman Problem: heuristic and exact solution methods, LP model
Multi-period programme planning for multiple product and multiple capacity types, LP model
Demand forecasting
Material requirements planning: Stochastic models, newsvendor problem
Lot size planning: Exact solution methods for deterministic, dynamic single-product models
Scheduling: Acceleration within network plans, LP model
Production scheduling, machine scheduling.The course consists primarily of lectures in which the theory is discussed, reviews of the homework in which the most significant/frequent errors of the students are addressed, and Excel tutorials. These take place partly live in Moodle and partly via recordings.
Essential components of the course are also the solving of homework exercises, which are not compulsory but included in the assessment and can be seen as preparation for the exams, and the use of Excel, as Excel is part of the homework exercises and an exam.
Assessment and permitted materials
1. Homework (15%):
On Mondays, when new units of the course are released, homework assignments are also provided in Moodle. The solutions to these are to be uploaded to Moodle by the next Monday (or a later Monday if holidays or other events postpone the timetable) and a cross list of the solved tasks is to be is to be ticked in Moodle. On Tuesdays, 15:00-16:30, the homework will be discussed live via BigBlueButton in Moodle. Individual students will be selected to present their solution to the homework. The course has an immanent examination character, i.e. attendance is compulsory during the live sessions. Scores/Grades are awarded according to the homeworks handed in and ticked as well as the presentation of the homework when selected to present.2. Midterm test (40%):
Around the middle of the course there will be a written examination of the contents discussed up to that point.3. Excel test (15%):
Since one focus of the course is on solving examples with the Excel Solver, there will be an Excel test at the end of the course in which one or more examples have to be solved applying the Excel Solver.4. End test (30%):
At the end of the course there is a written examination of the contents. The focus is on the contents that were presented after the intermediate test.
On Mondays, when new units of the course are released, homework assignments are also provided in Moodle. The solutions to these are to be uploaded to Moodle by the next Monday (or a later Monday if holidays or other events postpone the timetable) and a cross list of the solved tasks is to be is to be ticked in Moodle. On Tuesdays, 15:00-16:30, the homework will be discussed live via BigBlueButton in Moodle. Individual students will be selected to present their solution to the homework. The course has an immanent examination character, i.e. attendance is compulsory during the live sessions. Scores/Grades are awarded according to the homeworks handed in and ticked as well as the presentation of the homework when selected to present.2. Midterm test (40%):
Around the middle of the course there will be a written examination of the contents discussed up to that point.3. Excel test (15%):
Since one focus of the course is on solving examples with the Excel Solver, there will be an Excel test at the end of the course in which one or more examples have to be solved applying the Excel Solver.4. End test (30%):
At the end of the course there is a written examination of the contents. The focus is on the contents that were presented after the intermediate test.
Minimum requirements and assessment criteria
The evaluation is based on the following grading system (in %):
[88,100]: 1
[76,88[ : 2
[63,76[ : 3
[50,63[ : 4
< 50 : 5
[88,100]: 1
[76,88[ : 2
[63,76[ : 3
[50,63[ : 4
< 50 : 5
Examination topics
Introduction into LP-Modelling
Traveling Salesman Problem: heuristic and exact solution methods, LP-model
Multi-period program planning for multiple product and multiple capacity types, LP-model
Demand forecasting
Material requirements planning: Stochastic models, newsvendor problem
Lot size planning: Exact solution methods for deterministic, dynamic single-product models
Scheduling: Acceleration within network plans, LP-model
Production scheduling, machine scheduling.The slides are made available on Moodle.
Traveling Salesman Problem: heuristic and exact solution methods, LP-model
Multi-period program planning for multiple product and multiple capacity types, LP-model
Demand forecasting
Material requirements planning: Stochastic models, newsvendor problem
Lot size planning: Exact solution methods for deterministic, dynamic single-product models
Scheduling: Acceleration within network plans, LP-model
Production scheduling, machine scheduling.The slides are made available on Moodle.
Group 4
max. 50 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Test dates:
- Midterm, Monday, 25.04.2022
- Endterm, Monday, 20.06.2022
- Excel test, Thursday, 30.06.2022
Currently, we are assuming that all 3 tests will be written on-site at OMP. However, this may change over the course of the semester due to COVID-19, so individual tests might be written digitally/online.Note about the Excel test:
In the event that it will be possible to write the Excel test on-site due to COVID-19, students will be divided into 3 groups that will write the Excel test one at a time in the OMP PC rooms. This is necessary because the number of participants in the PC rooms is limited.Note about the classroom sessions:
At the moment we assume that all classes can be held in presence at the OMP. However, this may change over the course of the semester due to COVID-19, so individual dates may be held digitally.
- Tuesday 08.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 15.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 22.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 29.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 05.04. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
-
Monday
25.04.
18:30 - 20:00
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock - Tuesday 26.04. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 03.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 10.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 17.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 24.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 31.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 14.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 28.06. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 29.06. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Aims, contents and method of the course
In the new Bachelor's degree curricula in Business Administration and International Business Administration (version 2014), the first step is to complete the introductory phase (15 ECTS). Then a total of 5 ABWL modules are to be completed in the core phase. One of these is Production and Logistics. Like most other ABWL modules, it consists of two parts: first the introductory lecture ABWL Production and Logistics I has to be completed, then the practical course ABWL Production and Logistics II.
The aim of this course is to deepen and expand the knowledge acquired in the lecture Production and Logistics I. The students are introduced to problems/models from the field of production and logistics in order to independently analyse problems and solve them with appropriate quantitative methods.Content of the course:
Introduction to LP Modelling
Traveling Salesman Problem: heuristic and exact solution methods, LP model
Multi-period programme planning for multiple product and multiple capacity types, LP model
Demand forecasting
Material requirements planning: Stochastic models, newsvendor problem
Lot size planning: Exact solution methods for deterministic, dynamic single-product models
Scheduling: Acceleration within network plans, LP model
Production scheduling, machine scheduling.The course consists primarily of lectures in which the theory is discussed, reviews of the homework in which the most significant/frequent errors of the students are addressed, and Excel tutorials. These take place partly live at OMP, in Moodle and via recordings.Essential components of the course are also the solving of homework exercises, which are not compulsory but included in the assessment and can be seen as preparation for the exams, and the use of Excel, as Excel is part of the homework exercises and one exam.
The aim of this course is to deepen and expand the knowledge acquired in the lecture Production and Logistics I. The students are introduced to problems/models from the field of production and logistics in order to independently analyse problems and solve them with appropriate quantitative methods.Content of the course:
Introduction to LP Modelling
Traveling Salesman Problem: heuristic and exact solution methods, LP model
Multi-period programme planning for multiple product and multiple capacity types, LP model
Demand forecasting
Material requirements planning: Stochastic models, newsvendor problem
Lot size planning: Exact solution methods for deterministic, dynamic single-product models
Scheduling: Acceleration within network plans, LP model
Production scheduling, machine scheduling.The course consists primarily of lectures in which the theory is discussed, reviews of the homework in which the most significant/frequent errors of the students are addressed, and Excel tutorials. These take place partly live at OMP, in Moodle and via recordings.Essential components of the course are also the solving of homework exercises, which are not compulsory but included in the assessment and can be seen as preparation for the exams, and the use of Excel, as Excel is part of the homework exercises and one exam.
Assessment and permitted materials
1. Homework (15%):
On Mondays when new chapters of the course are unlocked, homework exercises will also be posted in Moodle. The solutions of those are to be uploaded to Moodle by the next Monday (or a later Monday if, for example, holidays shift the schedule) and additionally a list of the solved tasks is to be filled in Moodle. On Tuesdays, 11:30 - 13:00, there will be face-to-face sessions at OMP to discuss the homework assignment. Individual students will be called upon to present the solution to their homework assignment. The course has an immanent examination character, i.e. attendance is compulsory during the presence sessions for all those who want to receive points for the homework. Points will be awarded according to the homework handed in and exercises ticked, as well as the presentation of the homework in case of a presentation. If the solution is not handed in, the list is not filled in or the student is not present (without excuse), no points will be awarded for the homework.2. Intermediate test (40%)
After approximately half of the units, there will be a written examination of the contents discussed up to that point.3. Excel test (15%):
Since one focus of the course is on solving examples with the Excel Solver, there will be an Excel test at the end of the course in which one or more examples have to be solved applying the Excel Solver.4. End test (30%):
At the end of the course there is a written examination of the contents. The focus is on the contents that were presented after the intermediate test.
On Mondays when new chapters of the course are unlocked, homework exercises will also be posted in Moodle. The solutions of those are to be uploaded to Moodle by the next Monday (or a later Monday if, for example, holidays shift the schedule) and additionally a list of the solved tasks is to be filled in Moodle. On Tuesdays, 11:30 - 13:00, there will be face-to-face sessions at OMP to discuss the homework assignment. Individual students will be called upon to present the solution to their homework assignment. The course has an immanent examination character, i.e. attendance is compulsory during the presence sessions for all those who want to receive points for the homework. Points will be awarded according to the homework handed in and exercises ticked, as well as the presentation of the homework in case of a presentation. If the solution is not handed in, the list is not filled in or the student is not present (without excuse), no points will be awarded for the homework.2. Intermediate test (40%)
After approximately half of the units, there will be a written examination of the contents discussed up to that point.3. Excel test (15%):
Since one focus of the course is on solving examples with the Excel Solver, there will be an Excel test at the end of the course in which one or more examples have to be solved applying the Excel Solver.4. End test (30%):
At the end of the course there is a written examination of the contents. The focus is on the contents that were presented after the intermediate test.
Minimum requirements and assessment criteria
The evaluation is based on the following grading system (in %):
[88,100]: 1
[76,88[ : 2
[63,76[ : 3
[50,63[ : 4
< 50 : 5
[88,100]: 1
[76,88[ : 2
[63,76[ : 3
[50,63[ : 4
< 50 : 5
Examination topics
Introduction to LP Modelling
Traveling Salesman Problem: heuristic and exact solution methods, LP model
Multi-period programme planning for multiple product and multiple capacity types, LP model
Demand forecasting
Material requirements planning: Stochastic models, newsvendor problem
Lot size planning: Exact solution methods for deterministic, dynamic single-product models
Scheduling: Acceleration within network plans, LP model
Production scheduling, machine scheduling.The slides of each unit will be made available on Moodle.
Traveling Salesman Problem: heuristic and exact solution methods, LP model
Multi-period programme planning for multiple product and multiple capacity types, LP model
Demand forecasting
Material requirements planning: Stochastic models, newsvendor problem
Lot size planning: Exact solution methods for deterministic, dynamic single-product models
Scheduling: Acceleration within network plans, LP model
Production scheduling, machine scheduling.The slides of each unit will be made available on Moodle.
Reading list
All materials provided in Moodle as well as the script, which is available from Ms Carina Artner-Konecny during office hours, serve as course materials.
Association in the course directory
Last modified: Th 11.05.2023 11:27
The aim of this course is to deepen and expand the knowledge acquired in the lecture Production and Logistics I. The students are introduced to problems/models from the field of production and logistics in order to independently analyse problems and solve them with appropriate quantitative methods.Content of the course:
Introduction into LP modelling
Traveling Salesman Problem: heuristic and exact solution methods, LP model
Multi-period programme planning for multiple product and multiple capacity types, LP model
Demand forecasting
Material requirements planning: stochastic models, newsvendor problem
Lot size planning: exact solution methods for deterministic, dynamic single-product models
Scheduling: acceleration within network plans, LP model
Production scheduling, machine schedulingThe course consists primarily of lectures in which the theory is discussed, reviews of the homework in which the most significant/frequent errors of the students are addressed, and Excel tutorials. These take place partly live in Moodle and partly via recordings.
Essential components of the course are also the solving of homework exercises, which are not compulsory but included in the assessment and can be seen as preparation for the exams, and the use of Excel, as Excel is part of the homework exercises and one exam.