1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
  3. COMPUTER ENGINEERING DEPARTMENT
  4. 1281 Computer Engineering
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
CENG 522LOGISTICS ENGINEERING3 + 01st Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective Formulate models and analyze the performance of a variety of different production system designs Perform an economic analysis of alternative designs and understand the limitations of the analysis Formulate and utilize heuristic solution procedures for different types of design problems, understand the difference between construction and improvement heuristics, and understand the limitations of any heuristic solution approach Discern the fundamental tradeoff in warehouse design between the competing objectives of minimizing building costs and minimizing handling costs Apply all of the knowledge and techniques learned in the course to the problem of developing an integrated design of a complete production system.
Course Content Logistics engineering is concerned with all of the planning, implementation, and control related activities associated with the acquisition, transport, storage, and distribution of products and services. The logistics network, or supply chain, of a firm can extend from the acquisition of raw materials from the firm’s suppliers to the distribution of finished products to its customers. Central to the study of logistics is the flow of material and information between the facilities of a supply chain—details of the production process within a facility are not of primary concern. This course will present the fundamental quantitative approaches that are used in the design and control of logistics systems, including modeling issues, design concepts, computational considerations, and the use of the scientific computing software packages. This quantitative, or engineering, approach to logistics is meant to complement that of business logistics, which is concerned with the management of physical distribution and procurement processes and relationships, and supply chain management, which also includes the coordination of product design, marketing, sales, and finance, both within and between firms, to best support the operation of a firm’s supply chain.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.

COURSE LEARNING OUTCOMES
1Formulate and utilize heuristic solution procedures for different types of design problems
2understand the difference between construction and improvement heuristics
3understand the limitations of any heuristic solution approach
4Discern the fundamental tradeoff in warehouse design between the competing objectives of minimizing building costs and minimizing handling costs
5Apply all of the knowledge and techniques learned in the course to the problem of developing an integrated design of a complete production system

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001            
LO 002            
LO 003            
LO 004            
LO 005            
Sub Total            
Contribution000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Mid-terms12121
Final examination14040
Report / Project15050
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes