Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S2)

Sylabus przedmiotu Practical Methods of Transportation and Logistics Optimisation:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom drugiego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot Practical Methods of Transportation and Logistics Optimisation
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Konstrukcji, Mechaniki i Technologii Okrętów
Nauczyciel odpowiedzialny Zbigniew Sekulski <Zbigniew.Sekulski@zut.edu.pl>
Inni nauczyciele
ECTS (planowane) 6,0 ECTS (formy) 6,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny Grupa obieralna

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
ćwiczenia audytoryjneA1 30 3,50,60zaliczenie
wykładyW1 30 2,50,40zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Linear algebra, differential calculations.

Cele przedmiotu

KODCel modułu/przedmiotu
C-1To learn basic concepts of continuous and discrete optimisation methods in transport and logistics.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
ćwiczenia audytoryjne
T-A-1Solving some practical examples of unconstrained and constrained optimisation problems in transport and logistics.28
T-A-2Skills evaluation.2
30
wykłady
T-W-1Introduction: what is optimisation problem in transportation and logistics?2
T-W-2General formulation of optimisation problem in transportation and logistics.2
T-W-3Review and discussion of optimisation problems in transportation and logistics.2
T-W-4Single- and multi-objective optimization problems in transportation and logistics.4
T-W-5Introduction to graph theory application to modelling of transportation and logistic problems. Graphs, trees, spanning trees, and minimal spanning trees (definition, characterization, and simple properties). The minimum connector problem (Prim’s algorithm), shortest-path problems.4
T-W-6Transportation problems: transportation model, approach to solution to a transportation problem by using transportation algorithm (initial basic feasible solution: north - west corner method, least cost cell method, Vogel’s approximation method), optimality test (stepping stone method of optimality test, modified distribution method of optimality test), alternate solutions.6
T-W-7Green vehicle transportation problem based on carbon (CO2) emission for minimize environmental impact. The effects of route decision on energy consumption and emission.4
T-W-8Discussing the following 10 rules to be essential requirements for success intransportation and logistic optimization: (1) Objectives - must be quantified and measurable, (2) Models - must faithfully represent required logistics processes, (3) Variability - must be explicitly considered, (4) Data - must be accurate, timely, and comprehensive, (5) Integration - must support fully automated data transfer, (6) Delivery - must provide results in a form that facilitates execution, management and control, (7) Algorithms - must intelligently exploit individual problem structure, (8) People - must have the domain and technology expertise required to support the models, data, and optimization engines, (9) Process - must support optimization and have the ability to continuously improve, (10) Return on Investment (ROI) - must be provable considering the total cost of technology, people and operations.4
T-W-9Evaluation of knowledge.2
30

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
ćwiczenia audytoryjne
A-A-1Class participation and active engagement for developing and refining students ability to critically and productively engage with the subjects being studied.30
A-A-2Preparation of homeworks.70
A-A-3Preparation to skills evaluation.5
105
wykłady
A-W-1Participation in classes.30
A-W-2Self study.38
A-W-3Preparation to knowledge evaluation.6
74

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Lectures
M-2Exercises

Sposoby oceny

KODSposób oceny
S-1Ocena formująca: Student attendance and participation in class sessions play a vital role in successful course completion.
S-2Ocena podsumowująca: Students will be expected to complete written tests, projects and homework assignments as specified by the teacher.

Zamierzone efekty uczenia się - wiedza

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WTMiT_2-_null_W01
On successful completion of this course, students will be able to: (1) formulate a wide range of management problems in transportation and logistics that can be solved to optimality by classical continuous as well as combinatorial optimization techniques and the knowledge of alternative solution approaches such as metaheuristics that can find nearly optimal solutions; (2) awareness how difficult some practical optimization problems in transportation and logistics can be and the complex role performed by managers; (3) understanding the construction and main solution ideas for nonlinear optimization problems in transportation and logistics; (4) assess the quality of available methods and solutions for such problems, as well as to potentially develop such optimization techniques and implementations; (5) formulate optimization problems in transportation and logistics in the presence of uncertainty; (6) knowledge of techniques that can be used to solve such problems; (7) effectively communicate the results of the cost-benefit analysis and optimization to the relevant parties.
C-1T-W-1, T-W-2, T-W-3, T-W-4, T-W-5, T-W-6, T-W-8M-1S-1, S-2

Zamierzone efekty uczenia się - umiejętności

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WTMiT_2-_null_U01
The ability to use the acquired knowledge to solve practical problems.
C-1T-A-1M-2S-1, S-2

Zamierzone efekty uczenia się - inne kompetencje społeczne i personalne

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WTMiT_2-_null_K01
Improvement of social and personal competencies including self-awareness, self-management, social awareness, relationship skills, responsible decision-making and others. Encouraging dialogue and mutual respect between peoples of different nations, cultures and faiths.
C-1T-A-1, T-A-2M-1, M-2S-1, S-2

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WTMiT_2-_null_W01
On successful completion of this course, students will be able to: (1) formulate a wide range of management problems in transportation and logistics that can be solved to optimality by classical continuous as well as combinatorial optimization techniques and the knowledge of alternative solution approaches such as metaheuristics that can find nearly optimal solutions; (2) awareness how difficult some practical optimization problems in transportation and logistics can be and the complex role performed by managers; (3) understanding the construction and main solution ideas for nonlinear optimization problems in transportation and logistics; (4) assess the quality of available methods and solutions for such problems, as well as to potentially develop such optimization techniques and implementations; (5) formulate optimization problems in transportation and logistics in the presence of uncertainty; (6) knowledge of techniques that can be used to solve such problems; (7) effectively communicate the results of the cost-benefit analysis and optimization to the relevant parties.
2,0Failing. Students performing at this level demonstrate no evidence of the knowledge, skills, and practices embodied by the course assessed at their grade level. The range for the grade of 2.0 is from 0% to 50% of the total possible score (100%).
3,0Students performing at this level demonstrate a minimal command of the knowledge and/or skills embodied by the course assessed at their grade level. The range for the grade of 3.0 is from 51% to 60% of the total possible score (100%).
3,5Students performing at this level demonstrate a beginning command of the knowledge and/or skills embodied by the course assessed at their grade level. The range for the grade of 3.5 is from 61% to 70% of the total possible score (100%).
4,0Students performing at this level demonstrate a developing command of the knowledge, skills, and practices embodied by the course at their grade level. The range for the grade of 4.0 is from 71% to 80% of the total possible score (100%).
4,5Students performing at this level demonstrate a moderate command of the knowledge, skills, and practices embodied by the course. Students at this level are approaching the standards at their grade level. The range for the grade of 4.5 is from 81% to 90% of the total possible score (100%).
5,0Students performing at this level demonstrate a distinguished and strong command of the knowledge, skills, and practices embodied by the course. Students at this level are meeting or extending the standards at their grade level. The range for the grade of 5.0 is from 91% to 100% of the total possible score (100%).

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
WM-WTMiT_2-_null_U01
The ability to use the acquired knowledge to solve practical problems.
2,0Failing. Students performing at this level demonstrate no evidence of the knowledge, skills, and practices embodied by the course assessed at their grade level. The range for the grade of 2.0 is from 0% to 50% of the total possible score (100%).
3,0Students performing at this level demonstrate a minimal command of the knowledge and/or skills embodied by the course assessed at their grade level. The range for the grade of 3.0 is from 51% to 60% of the total possible score (100%).
3,5Students performing at this level demonstrate a beginning command of the knowledge and/or skills embodied by the course assessed at their grade level. The range for the grade of 3.5 is from 61% to 70% of the total possible score (100%).
4,0Students performing at this level demonstrate a developing command of the knowledge, skills, and practices embodied by the course at their grade level. The range for the grade of 4.0 is from 71% to 80% of the total possible score (100%).
4,5Students performing at this level demonstrate a moderate command of the knowledge, skills, and practices embodied by the course. Students at this level are approaching the standards at their grade level. The range for the grade of 4.5 is from 81% to 90% of the total possible score (100%).
5,0Students performing at this level demonstrate a distinguished and strong command of the knowledge, skills, and practices embodied by the course. Students at this level are meeting or extending the standards at their grade level. The range for the grade of 5.0 is from 91% to 100% of the total possible score (100%).

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
WM-WTMiT_2-_null_K01
Improvement of social and personal competencies including self-awareness, self-management, social awareness, relationship skills, responsible decision-making and others. Encouraging dialogue and mutual respect between peoples of different nations, cultures and faiths.
2,0Students performing at this level demonstrate no evidence of increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
3,0Acceptable student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
3,5Below average student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
4,0Average student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
4,5Above average student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
5,0Oustending student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.

Literatura podstawowa

  1. Dennis, J.E., Schnabel, R.B., Numerical Methods for Unconstrained Optimization and Nonlinear Equations, Society for Industrial and Applied Mathematics, Philadelphia, 1996
  2. Gill, P.E., Murray, W., Wright, M.H., Practical Optimization, Academic Press, London, 1986

Literatura dodatkowa

  1. Nocedal, J., Wright, S.J., Numerical Optimization, Springer, New York, 1999

Treści programowe - ćwiczenia audytoryjne

KODTreść programowaGodziny
T-A-1Solving some practical examples of unconstrained and constrained optimisation problems in transport and logistics.28
T-A-2Skills evaluation.2
30

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Introduction: what is optimisation problem in transportation and logistics?2
T-W-2General formulation of optimisation problem in transportation and logistics.2
T-W-3Review and discussion of optimisation problems in transportation and logistics.2
T-W-4Single- and multi-objective optimization problems in transportation and logistics.4
T-W-5Introduction to graph theory application to modelling of transportation and logistic problems. Graphs, trees, spanning trees, and minimal spanning trees (definition, characterization, and simple properties). The minimum connector problem (Prim’s algorithm), shortest-path problems.4
T-W-6Transportation problems: transportation model, approach to solution to a transportation problem by using transportation algorithm (initial basic feasible solution: north - west corner method, least cost cell method, Vogel’s approximation method), optimality test (stepping stone method of optimality test, modified distribution method of optimality test), alternate solutions.6
T-W-7Green vehicle transportation problem based on carbon (CO2) emission for minimize environmental impact. The effects of route decision on energy consumption and emission.4
T-W-8Discussing the following 10 rules to be essential requirements for success intransportation and logistic optimization: (1) Objectives - must be quantified and measurable, (2) Models - must faithfully represent required logistics processes, (3) Variability - must be explicitly considered, (4) Data - must be accurate, timely, and comprehensive, (5) Integration - must support fully automated data transfer, (6) Delivery - must provide results in a form that facilitates execution, management and control, (7) Algorithms - must intelligently exploit individual problem structure, (8) People - must have the domain and technology expertise required to support the models, data, and optimization engines, (9) Process - must support optimization and have the ability to continuously improve, (10) Return on Investment (ROI) - must be provable considering the total cost of technology, people and operations.4
T-W-9Evaluation of knowledge.2
30

Formy aktywności - ćwiczenia audytoryjne

KODForma aktywnościGodziny
A-A-1Class participation and active engagement for developing and refining students ability to critically and productively engage with the subjects being studied.30
A-A-2Preparation of homeworks.70
A-A-3Preparation to skills evaluation.5
105
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Participation in classes.30
A-W-2Self study.38
A-W-3Preparation to knowledge evaluation.6
74
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WTMiT_2-_null_W01On successful completion of this course, students will be able to: (1) formulate a wide range of management problems in transportation and logistics that can be solved to optimality by classical continuous as well as combinatorial optimization techniques and the knowledge of alternative solution approaches such as metaheuristics that can find nearly optimal solutions; (2) awareness how difficult some practical optimization problems in transportation and logistics can be and the complex role performed by managers; (3) understanding the construction and main solution ideas for nonlinear optimization problems in transportation and logistics; (4) assess the quality of available methods and solutions for such problems, as well as to potentially develop such optimization techniques and implementations; (5) formulate optimization problems in transportation and logistics in the presence of uncertainty; (6) knowledge of techniques that can be used to solve such problems; (7) effectively communicate the results of the cost-benefit analysis and optimization to the relevant parties.
Cel przedmiotuC-1To learn basic concepts of continuous and discrete optimisation methods in transport and logistics.
Treści programoweT-W-1Introduction: what is optimisation problem in transportation and logistics?
T-W-2General formulation of optimisation problem in transportation and logistics.
T-W-3Review and discussion of optimisation problems in transportation and logistics.
T-W-4Single- and multi-objective optimization problems in transportation and logistics.
T-W-5Introduction to graph theory application to modelling of transportation and logistic problems. Graphs, trees, spanning trees, and minimal spanning trees (definition, characterization, and simple properties). The minimum connector problem (Prim’s algorithm), shortest-path problems.
T-W-6Transportation problems: transportation model, approach to solution to a transportation problem by using transportation algorithm (initial basic feasible solution: north - west corner method, least cost cell method, Vogel’s approximation method), optimality test (stepping stone method of optimality test, modified distribution method of optimality test), alternate solutions.
T-W-8Discussing the following 10 rules to be essential requirements for success intransportation and logistic optimization: (1) Objectives - must be quantified and measurable, (2) Models - must faithfully represent required logistics processes, (3) Variability - must be explicitly considered, (4) Data - must be accurate, timely, and comprehensive, (5) Integration - must support fully automated data transfer, (6) Delivery - must provide results in a form that facilitates execution, management and control, (7) Algorithms - must intelligently exploit individual problem structure, (8) People - must have the domain and technology expertise required to support the models, data, and optimization engines, (9) Process - must support optimization and have the ability to continuously improve, (10) Return on Investment (ROI) - must be provable considering the total cost of technology, people and operations.
Metody nauczaniaM-1Lectures
Sposób ocenyS-1Ocena formująca: Student attendance and participation in class sessions play a vital role in successful course completion.
S-2Ocena podsumowująca: Students will be expected to complete written tests, projects and homework assignments as specified by the teacher.
Kryteria ocenyOcenaKryterium oceny
2,0Failing. Students performing at this level demonstrate no evidence of the knowledge, skills, and practices embodied by the course assessed at their grade level. The range for the grade of 2.0 is from 0% to 50% of the total possible score (100%).
3,0Students performing at this level demonstrate a minimal command of the knowledge and/or skills embodied by the course assessed at their grade level. The range for the grade of 3.0 is from 51% to 60% of the total possible score (100%).
3,5Students performing at this level demonstrate a beginning command of the knowledge and/or skills embodied by the course assessed at their grade level. The range for the grade of 3.5 is from 61% to 70% of the total possible score (100%).
4,0Students performing at this level demonstrate a developing command of the knowledge, skills, and practices embodied by the course at their grade level. The range for the grade of 4.0 is from 71% to 80% of the total possible score (100%).
4,5Students performing at this level demonstrate a moderate command of the knowledge, skills, and practices embodied by the course. Students at this level are approaching the standards at their grade level. The range for the grade of 4.5 is from 81% to 90% of the total possible score (100%).
5,0Students performing at this level demonstrate a distinguished and strong command of the knowledge, skills, and practices embodied by the course. Students at this level are meeting or extending the standards at their grade level. The range for the grade of 5.0 is from 91% to 100% of the total possible score (100%).
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WTMiT_2-_null_U01The ability to use the acquired knowledge to solve practical problems.
Cel przedmiotuC-1To learn basic concepts of continuous and discrete optimisation methods in transport and logistics.
Treści programoweT-A-1Solving some practical examples of unconstrained and constrained optimisation problems in transport and logistics.
Metody nauczaniaM-2Exercises
Sposób ocenyS-1Ocena formująca: Student attendance and participation in class sessions play a vital role in successful course completion.
S-2Ocena podsumowująca: Students will be expected to complete written tests, projects and homework assignments as specified by the teacher.
Kryteria ocenyOcenaKryterium oceny
2,0Failing. Students performing at this level demonstrate no evidence of the knowledge, skills, and practices embodied by the course assessed at their grade level. The range for the grade of 2.0 is from 0% to 50% of the total possible score (100%).
3,0Students performing at this level demonstrate a minimal command of the knowledge and/or skills embodied by the course assessed at their grade level. The range for the grade of 3.0 is from 51% to 60% of the total possible score (100%).
3,5Students performing at this level demonstrate a beginning command of the knowledge and/or skills embodied by the course assessed at their grade level. The range for the grade of 3.5 is from 61% to 70% of the total possible score (100%).
4,0Students performing at this level demonstrate a developing command of the knowledge, skills, and practices embodied by the course at their grade level. The range for the grade of 4.0 is from 71% to 80% of the total possible score (100%).
4,5Students performing at this level demonstrate a moderate command of the knowledge, skills, and practices embodied by the course. Students at this level are approaching the standards at their grade level. The range for the grade of 4.5 is from 81% to 90% of the total possible score (100%).
5,0Students performing at this level demonstrate a distinguished and strong command of the knowledge, skills, and practices embodied by the course. Students at this level are meeting or extending the standards at their grade level. The range for the grade of 5.0 is from 91% to 100% of the total possible score (100%).
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WTMiT_2-_null_K01Improvement of social and personal competencies including self-awareness, self-management, social awareness, relationship skills, responsible decision-making and others. Encouraging dialogue and mutual respect between peoples of different nations, cultures and faiths.
Cel przedmiotuC-1To learn basic concepts of continuous and discrete optimisation methods in transport and logistics.
Treści programoweT-A-1Solving some practical examples of unconstrained and constrained optimisation problems in transport and logistics.
T-A-2Skills evaluation.
Metody nauczaniaM-1Lectures
M-2Exercises
Sposób ocenyS-1Ocena formująca: Student attendance and participation in class sessions play a vital role in successful course completion.
S-2Ocena podsumowująca: Students will be expected to complete written tests, projects and homework assignments as specified by the teacher.
Kryteria ocenyOcenaKryterium oceny
2,0Students performing at this level demonstrate no evidence of increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
3,0Acceptable student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
3,5Below average student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
4,0Average student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
4,5Above average student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
5,0Oustending student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.