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Code IE 430
Term 201701
Title Logistics Systems Planning and Design
Faculty Faculty of Engineering and Natural Sciences
Subject Industrial Engineering(IE)
SU Credit 3
ECTS Credit 6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Bulent Catay catay@sabanciuniv.edu,
Detailed Syllabus
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
IE301 MS301
Mode of Delivery Formal lecture
Planned Learning Activities Communicative,Project based learning
Content

Planning and analysis of logistics systems; data collection methods; facility location/allocation; comparative analysis of different transportation modes and intermodal transportation; fleet planning and vehicle allocation; vehicle routing; other issues such as third party logistics; reverse logistics; vendor managed inventory; collaborative planning, forecasting, and replenishment; e-business and its impact on logistics.

Objective

The objective of the course is to give the students a solid understanding of the analytical modeling and solution approaches in logistics planning problems and design issues in logistics systems. We will use mathematical programming approaches to model and solve the planning and control problems arising in transportation and distribution logistics, including (but not limited to) single and multiple facility location/allocation problems, logistics networks design for long-haul freight transportation, transportation modes and multi-modal transport, and vehicle routing and scheduling. We will develop and employ both exact and approximate methods to solve optimization problems and implement computerized applications. Proficiency in operations research and capability of using IBM ILOG CPLEX software and coding with computer programming are required.

Learning Outcome

(1) identify and state the basic principles and concepts of logistics systems design;
(2) model location problems and solve them using optimization software and tools;
(3) develop her/his own algorithms to efficiently solve location problems;
(4) model long-haul freight transportation problems and solve them using optimization software and tools;
(5) develop her/his own algorithms to efficiently solve long-haul freight transportation problems;
(6) model short-haul freight transportation problems and solve them using optimization software and tools;
(7) develop her/his own algorithms to efficiently solve short-haul freight transportation problems;
(8) conduct challenging technical projects that involve modeling and algorithmic solution approaches;
(9) work in a team in managing challenging logistics systems design projects.

Programme Outcomes
 
Common Outcomes For All Programs
1 Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 1
2 Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 1
3 Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 3
4 Communicate effectively in Turkish and English by oral, written, graphical and technological means. 4
5 Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 5
Common Outcomes ForFaculty of Eng. & Natural Sci.
1 Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 4
2 Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 5
3 Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 5
4 Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 3
5 Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 3
6 Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 3
7 Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 3
Industrial Engineering Program Outcomes Core Electives
1 Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics. 5
2 Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 5
3 Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 5
Materials Science and Nano Engineering Program Outcomes Area Electives
1 Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 1
2 Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 1
3 Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 1
Assessment Methods and Criteria
  Percentage (%)
Midterm 35
Individual Project 30
Recommended or Required Reading
Textbook

Introduction to Logistics Systems Management. G. Ghiani, G. Laporte and R. Musmanno. John Wiley & Sons, 2013. (eBook available online at the Information Center)

Readings

Introduction to Logistics Systems Planning and Control. G. Ghiani, G. Laporte and R. Musmanno. John Wiley & Sons, 2004. [TS161 .G45 2004]

Facilities Design, 3rd edition. S. Heragu. CRC Press, 2008. [TS177 .H47 2008]