Logistics Analysis - Tools and Models, 6 credits
Logistikanalys - verktyg och modeller, 6 hp
TETS32
Main field of study
Industrial Engineering and Management LogisticsCourse level
Second cycleCourse type
Programme courseExaminer
Erik SandbergDirector of studies or equivalent
Björn OskarssonEducation components
Preliminary scheduled hours: 38 hRecommended self-study hours: 122 h
Main field of study
Industrial Engineering and Management, LogisticsCourse level
Second cycleAdvancement level
A1XCourse offered for
- Energy-Environment-Management
- Industrial Engineering and Management - International, M Sc in Engineering
- Industrial Engineering and Management, M Sc in Engineering
- Mechanical Engineering, M Sc in Engineering
Entry requirements
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.
Prerequisites
Basic Logistics. Supply Chain Logistics is recommended.Intended learning outcomes
The course deals with a number of tools and models for analysis of logistical systems. In the course, the tools and models will be used in specific logistics contexts. The purpose, however, is that the students should get a deeper understanding for how to apply these tools/models in different decision situations, and thereby require a general ability to make good logistics analyses. After having completed the course the student shall:
- Be able to use some tools and models for the purpose of logistical analyses
- Be well aware of the principles and basic assumptions behind the tools and models that are dealt with in the course
- Be well aware of different ways to acquire the data required for the tools and models
- Be able to apply and adjust these tools and models in a correct manner in a different context than those exemplified in the course
- Be able to critically analyse the reliability in the results from the tools and models with respect to cost, time and service
Course content
The course deals with a number of logistics related tools and models, such as the Total Cost Model and Activity Based Costing. During the course the tools and models are applied in different logistics areas, internally in a company as well as in the interface between companies. Besides from using them, special attention is given to the analysis of how logistics related figures connected to cost, time and service are used in these tools and models.
Different types of sensitivity analyses are dealt with in the course in order to better judge the reliability in the results that the discussed tools and models give. Furthermore Excel is used for building up models and handling of large amounts of data.Teaching and working methods
- Lectures, both from academy and the private sector.
- Exercises, where the student applies issues presented in literature and during lectures.
Examination
UPG1 Assignments 3 credits U, G KTR1 Test 3 credits U, G The final mark is decided by the total points aquired from the assignments and the written test. (U,3,4,5)Grades
Four-grade scale, LiU, U, 3, 4, 5Other information
Supplementary courses:
Logistics Project, Logistics StrategyDepartment
Institutionen för ekonomisk och industriell utvecklingDirector of Studies or equivalent
Björn OskarssonExaminer
Erik SandbergCourse website and other links
http://www.iei.liu.se/logistik/tets32Education components
Preliminary scheduled hours: 38 h
Recommended self-study hours: 122 hCourse literature
Oskarsson et al. (2013) “Modern Logistik”, 4e uppl, Liber, Relevanta artiklar (meddelas på kursens hemsida i samband med kursstart)
Code | Name | Scope | Grading scale |
---|---|---|---|
UPG1 | Assignments | 3 credits | U, G |
KTR1 | Test | 3 credits | U, G |
Regulations (apply to LiU in its entirety)
The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.
LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.
Note: The course matrix might contain more information in Swedish.
I | U | A | Modules | Comment | ||
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1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
1.1 Knowledge of underlying mathematics and science (G1X level) |
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X
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1.2 Fundamental engineering knowledge (G1X level) |
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X
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1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
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X
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1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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1.5 Insight into current research and development work |
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2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
2.1 Analytical reasoning and problem solving |
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X
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2.2 Experimentation, investigation, and knowledge discovery |
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2.3 System thinking |
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X
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2.4 Attitudes, thought, and learning |
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X
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2.5 Ethics, equity, and other responsibilities |
X
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3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
3.1 Teamwork |
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X
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3.2 Communications |
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X
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3.3 Communication in foreign languages |
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4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
4.1 External, societal, and environmental context |
X
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4.2 Enterprise and business context |
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X
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4.3 Conceiving, system engineering and management |
X
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4.4 Designing |
X
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4.5 Implementing |
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4.6 Operating |
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5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS | ||||||
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development |
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5.2 Economic conditions for knowledge development |
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5.3 Identification of needs, structuring and planning of research or development projects |
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5.4 Execution of research or development projects |
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5.5 Presentation and evaluation of research or development projects |
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