040137 UK ABWL Production and Logistics II (2022W)
Continuous assessment of course work
Labels
ON-SITE
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 12.09.2022 09:00 to Fr 23.09.2022 12:00
- Registration is open from Tu 04.10.2022 09:00 to We 19.10.2022 12:00
- Deregistration possible until Th 20.10.2022 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
ACHTUNG: Vorbesprechung & erste Einheit sind am 12.10.
ZW Test 07.12EN Test 27.01
Excel Test 31.01
Wednesday
12.10.
11:30 - 13:00
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
19.10.
11:30 - 13:00
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
09.11.
11:30 - 13:00
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
16.11.
11:30 - 13:00
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
23.11.
11:30 - 13:00
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
30.11.
11:30 - 13:00
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
07.12.
16:45 - 18:15
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
14.12.
11:30 - 13:00
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
11.01.
11:30 - 13:00
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
18.01.
11:30 - 13:00
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
25.01.
11:30 - 13:00
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Friday
27.01.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
31.01.
13:15 - 14:45
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday
31.01.
15:00 - 16:30
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday
31.01.
16:45 - 18:15
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday
31.01.
18:30 - 20:00
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
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 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 Wednesday the homework will be discussed during the lecture. 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 Wednesday the homework will be discussed during the lecture. 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 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.
Group 2
max. 50 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Test dates:
- Midterm, Wednesday, 07.12.2022
- Endterm, Monday, 27.01.2023
- Excel test, Thursday, 31.01.2023
Tuesday
11.10.
09:45 - 11:15
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
18.10.
09:45 - 11:15
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
08.11.
09:45 - 11:15
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
15.11.
09:45 - 11:15
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
22.11.
09:45 - 11:15
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
29.11.
09:45 - 11:15
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
07.12.
16:45 - 18:15
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
13.12.
09:45 - 11:15
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
10.01.
09:45 - 11:15
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
17.01.
09:45 - 11:15
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Friday
27.01.
16:45 - 18:15
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday
31.01.
15:00 - 16:30
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday
31.01.
16:45 - 18:15
PC-Seminarraum 5 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.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.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 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. 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 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. 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 %):
[87.5, 100] : 1
[75, 87.5] : 2
[62.5, 75] : 3
[50, 62.5] : 4
< 50 : 5
[87.5, 100] : 1
[75, 87.5] : 2
[62.5, 75] : 3
[50, 62.5] : 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.
Group 3
max. 50 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Test dates:
- Midterm: Wednesday, 07.12.2022, 16:45 - 18:15
- Endterm: Friday, 27.01.2023, 16:45 - 18:15
- Excel test: Tuesday, 31.01.2023, 13:15 - 20:00 (~45min slot, will be assigned during the semester)
Thursday
13.10.
09:45 - 11:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
20.10.
09:45 - 11:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
10.11.
09:45 - 11:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
17.11.
09:45 - 11:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
24.11.
09:45 - 11:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
01.12.
09:45 - 11:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
07.12.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
15.12.
09:45 - 11:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
12.01.
09:45 - 11:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
19.01.
09:45 - 11:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Friday
27.01.
16:45 - 18:15
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
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
see German version (as the language of the lecture is German)
Reading list
see German version (as the language of the lecture is German)
Group 4
max. 50 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Midterm: 04.05.2023, 18:30-20:00
Endterm: 23.06.2023, 16:45-18:15
Exceltest: 30.06.2023, 15:00-18:00 (Slot wird während des Semesters zugeteilt)
Thursday
13.10.
15:00 - 16:30
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
20.10.
15:00 - 16:30
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
10.11.
15:00 - 16:30
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
17.11.
15:00 - 16:30
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
24.11.
15:00 - 16:30
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
01.12.
15:00 - 16:30
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
07.12.
16:45 - 18:20
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
15.12.
15:00 - 16:30
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
12.01.
15:00 - 16:30
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
19.01.
15:00 - 16:30
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Friday
27.01.
16:45 - 18:15
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
31.01.
13:15 - 14:45
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday
31.01.
15:00 - 16:30
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday
31.01.
16:45 - 18:15
PC-Seminarraum 1 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 the German version (as the language of the lecture is German)
Examination topics
see German version (as the language of the lecture is German)
Reading list
see the German version (as the language of the lecture is German)
Group 5
max. 50 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
ACHTUNG: Vorbesprechung & erste Einheit sind am 10.10. DIGITAL, alle anderen Einheiten in Präsenz!
ZW Test 07.12EN Test 27.01
Excel Test 31.01
Monday
10.10.
15:00 - 16:30
Digital
Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
Monday
31.10.
15:00 - 16:30
Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
Monday
07.11.
15:00 - 16:30
Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
Monday
14.11.
15:00 - 16:30
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday
21.11.
15:00 - 16:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
28.11.
15:00 - 16:30
Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
Monday
05.12.
15:00 - 16:30
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
07.12.
16:45 - 18:15
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Monday
12.12.
15:00 - 16:30
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday
09.01.
15:00 - 16:30
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday
16.01.
15:00 - 16:30
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday
23.01.
15:00 - 16:30
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Friday
27.01.
16:45 - 18:15
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
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 ModellingTraveling Salesman Problem: heuristic and exact solution methods, LP modelMulti-period programme planning for multiple product and multiple capacity types, LP modelDemand forecastingMaterial requirements planning: Stochastic models, newsvendor problemLot size planning: Exact solution methods for deterministic, dynamic single-product modelsScheduling: Acceleration within network plans, LP modelProduction 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 Monday the homework will be discussed during the lecture. 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 Monday the homework will be discussed during the lecture. 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
Examination topics
Introduction to LP ModellingTraveling Salesman Problem: heuristic and exact solution methods, LP modelMulti-period programme planning for multiple product and multiple capacity types, LP modelDemand forecastingMaterial requirements planning: Stochastic models, newsvendor problemLot size planning: Exact solution methods for deterministic, dynamic single-product modelsScheduling: Acceleration within network plans, LP modelProduction scheduling, machine scheduling.The slides of each unit will be made available on Moodle.
Reading list
Günther, H.O., Tempelmeier, H.
„Produktion und Logistik“
Günther, H.O., Tempelmeier, H.
„Übungsbuch Produktion und Logistik“
„Produktion und Logistik“
Günther, H.O., Tempelmeier, H.
„Übungsbuch Produktion und Logistik“
Association in the course directory
Last modified: Th 11.05.2023 14:47
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.