IE301 Production Planning I

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Course Code Course Title Weekly Hours* ECTS Weekly Class Schedule
T P
IE301 Production Planning I 3 2 6 Tuesday 13.00-14.50; Thursday 11.00-11.50
Prerequisite MATH203 It is a prerequisite to
Lecturer Office Hours / Room / Phone

Currently not available

E-mail
Assistant Erna Omerašević Assistant E-mail ekeskinovic@ius.edu.ba
Course Objectives This course equips students with knowledge of fundamental issues in production and inventory planning and control in manufacturing firms, at the same time, developing the students’ modeling and analytical skills. The course is targeted toward engineering students planning careers in technical consulting, business analysis in operations, logistics and supply-chain, positions in general management and future entrepreneurs. The students will be able to apply the techniques using MS EXCEL.
Textbook “Production and Operation Analysis”, S. Nahmias, McGraw Hill, 2009
Learning Outcomes After successful  completion of the course, the student will be able to:
  1. Apply forecasting methods
  2. Apply aggregate planning and Master Production Scheduling approaches
  3. Apply the capacity planning methodologies
  4. Evaluate applications of order release mechanisms such as MRP and JIT –based systems
Teaching Methods Class discussions with examples. Active tutorial sessions for engaged learning and continuous feedback on progress. Computer analysis and interpretation.
WEEK TOPIC REFERENCE
Week 1 Introduction i
Week 2 Strategy and cometition 1.1, 1.2, 1.3, 1.4
Week 3 Learning and experience curves. Make or bay decision 1.9, 1.10, 1.11
Week 4 Forecasting 2.1. - 2.7
Week 5 Forecasting, methods, Quiz 1 2.8, 2.9
Week 6 Aggregate planning/Constant workforce case 3.1, 3.2, 3.3
Week 7 Midterm exam
Week 8 Aggregate planning/Zero inventory case 3.4, 3.5, 3.6
Week 9 Inventory control subject to known demand 4.1, 4.2, 4.3, 4.4
Week 10 The EOQ model 4.5, 4.6
Week 11 Quantity doscount models 4.7
Week 12 Inventory control subject to uncertain demand 5.1, 5.2
Week 13 The newsboy model, Quiz 2 5.3
Week 14 Lot size reorder point system 5.4
Week 15 Preparation for Final Exam
Assessment Methods and Criteria Evaluation Tool Quantity Weight Alignment with LOs
Final Exam 1 40 1,2,3,4
Semester Evaluation Compenents
Active tutorials and Homeworks 15 10 1,2,3,4
Midterm 1 30 1,2
Quiz 2 20 1,3
***     ECTS Credit Calculation     ***
 Activity Hours Weeks Student Workload Hours Activity Hours Weeks Student Workload Hours
Lecture hours 2 15 30 Quiz 2 8 2 16
Active tutorials 2 14 28 Active tutorials 2 14 28
Quiz 1 8 2 16 Final exam study 20 2 40
        Total Workload Hours = 150
*T= Teaching, P= Practice ECTS Credit = 6
Course Academic Quality Assurance: Semester Student Survey Last Update Date: 04/03/2020
QR Code for https://ecampus.ius.edu.ba/course/math203-introduction-probability-and-statistics

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