1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES
  3. BUSINESS ADMINISTRATION DEPARTMENT
  4. 213 BUSINESS ADMINISTRATION (ENGLISH)
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
Print

COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
BUSI 342LOGISTICS PLANNING AND MODELING3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective The aim of this course is to teach the basic concepts of design, planning, control and improvement of production and service systems, to provide an integrated perspective on analytical decision making methods in a supply chain, to provide a detailed framework for demand forecasting concepts and techniques, to provide a detailed framework for the supply chain starting from capacity planning. is the teaching of planning for the whole. In line with these purposes, students will learn to use optimization software practically by learning techniques for the solution of uncertainties in real logistics systems.
Course Content This course aims to teach the concepts and techniques related to the design, planning, control and improvement of production and service operations. Topics covered in the course are: basic concepts of logistics planning and modeling, demand forecasting, stock control, linear programming models and solution methods, sensitivity analysis, transportation problems, assignment models, network analysis and decision analysis.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
2Students will be able to use analytical methods to solve real-world optimization problems.
1Students will be able to manage the planning activities in the supply chain.
3Students will be able to use integrated systems approach to detect and model problems in logistics systems.
4Students will be able to manage and evaluate forecasts.
5Students will be able to use optimization software effectively.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08
LO 001        
LO 002        
LO 003        
LO 004        
LO 005        
Sub Total        
Contribution00000000

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)14570
Mid-terms177
Final examination11111
Total Work Load

ECTS Credit of the Course





130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1GÜLİN ZEYNEP ÖZTAŞ


Print

Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
BUSI 342 LOGISTICS PLANNING AND MODELING 3 + 0 1 English 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. GÜLİN ZEYNEP ÖZTAŞ gzeynepa@pau.edu.tr İİBF C0012 %70
Goals The aim of this course is to teach the basic concepts of design, planning, control and improvement of production and service systems, to provide an integrated perspective on analytical decision making methods in a supply chain, to provide a detailed framework for demand forecasting concepts and techniques, to provide a detailed framework for the supply chain starting from capacity planning. is the teaching of planning for the whole. In line with these purposes, students will learn to use optimization software practically by learning techniques for the solution of uncertainties in real logistics systems.
Content This course aims to teach the concepts and techniques related to the design, planning, control and improvement of production and service operations. Topics covered in the course are: basic concepts of logistics planning and modeling, demand forecasting, stock control, linear programming models and solution methods, sensitivity analysis, transportation problems, assignment models, network analysis and decision analysis.
Topics
WeeksTopics
1 Introduction to Logistics Planning and Modelling: Basic Concepts
2 Introduction to Logistics Planning and Modelling: Basic Concepts
3 Demand Forecasting
4 Demand Forecasting
5 Demand Forecasting
6 Inventory Control
7 Inventory Control
8 Inventory Control
9 Linear Programming Models and Solution Methods
10 Transportation Models
11 Transportation Models
12 Network Analysis
13 Network Analysis
14 Network Analysis
Materials
Materials are not specified.
Resources
ResourcesResources Language
Waters, D. (2003). Logistics: An Introduction to Supply Chain Management. Palgrave MacMillan.English
Frederick S. Hillier, Mark S. Hillier (2019). Introduction to Management Science: A Modelling and Case Studies Approach with Spreadsheets. McGraw-Hill.English
Bernard W. Taylor III (2016). Introduction to Management Science. Pearson.English
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes