Faculty Of Engıneerıng
Industrıal Engıneerıng (Englısh)

Course Information

MANUFACTURING PLANNING II
Code Semester Theoretical Practice National Credit ECTS Credit
Hour / Week
INE322 Spring 3 0 3 4

Prerequisites and co-requisites INE321
Language of instruction English
Type Required
Level of Course Bachelor's
Lecturer
Mode of Delivery Face to Face
Suggested Subject NONE
Professional practise ( internship ) None
Objectives of the Course Gaining the required knowledge and skills for inventory management, assembly line balancing, scheduling and supply chain management
Contents of the Course The topics covered in this course include: Discrete demand models, Assembly line balancing, Scheduling

Learning Outcomes of Course

# Learning Outcomes
1 Student knows basic concepts of production systems.
2 Student gains the ability of thinking on the basic concepts of production systems.
3 Student knows the conceps about production systems in enterprises.
4

Course Syllabus

# Subjects Teaching Methods and Technics
1 AMPL Lecturing
2 AMPL Lecturing
3 Introduction to inventory (Definitions, characteristics of inventory, structure of inventory problems) Lecturing
4 Independent demand - Deterministic models (Economical order quantity model, sensitivity, backorders and numerical examples), quantity discounts (all units discounting, incremental discounting, special sale prices, known price raises) Lecturing
5 Economical Production Lot Model (single product model, backorder case, multi-product model, economical order interval system (single product, multi-product)) Lecturing
6 Discrete demand models (Algorithms (Wagner-Whitin, Silver-Meal, Least Unit Cost, Part Period Balancing) and comparisons) Lecturing
7 Midterm Exam
8 Constraints in inventory systems (ABC Analysis, Changes in inventory control methods, budget and storage constraints in inventory systems) Lecturing
9 Independent demand – stochastic models (newsboy problem, safety stock, backorders, lost sales), effects of variations in demand and leadtime, service levels Lecturing
10 Assembly line balancing (mathematical model for single product, heuristic methods (ranked positional weight) Lecturing
11 Scheduling (Classification of scheduling problems, single machine scheduling, parallel machine problems) Lecturing
12 Scheduling (Flow shop Scheduling, job shop Scheduling) Lecturing
13 Project Planning (CPM and PERT Methods, crashing projecy duration (balancing cost and time) Lecturing
14 Project Planning (mathematical programming in project scheduling (resources leveling, capacity-constrained project scheduling)) Lecturing
15 Project Planning (mathematical programming in project scheduling (resources leveling, capacity-constrained project scheduling)) Lecturing
16 Final Exam

Course Syllabus

# Material / Resources Information About Resources Reference / Recommended Resources
1 S. Nahmias, Production and Operations Analysis, McGraw-Hill, 5th edition.

Method of Assessment

# Weight Work Type Work Title
1 40% Mid-Term Exam Mid-Term Exam
2 60% Final Exam Final Exam

Relationship between Learning Outcomes of Course and Program Outcomes

# Learning Outcomes Program Outcomes Method of Assessment
1 Student knows basic concepts of production systems. 1 1͵2
2 Student gains the ability of thinking on the basic concepts of production systems. 9 1͵2
3 Student knows the conceps about production systems in enterprises. 3 1͵2
4
PS. The numbers, which are shown in the column Method of Assessment, presents the methods shown in the previous table, titled as Method of Assessment.

Work Load Details

# Type of Work Quantity Time (Hour) Work Load
1 Course Duration 14 3 42
2 Course Duration Except Class (Preliminary Study, Enhancement) 14 3 42
3 Presentation and Seminar Preparation 0 0 0
4 Web Research, Library and Archival Work 0 0 0
5 Document/Information Listing 0 0 0
6 Workshop 0 0 0
7 Preparation for Midterm Exam 1 7 7
8 Midterm Exam 1 3 3
9 Quiz 0 0 0
10 Homework 1 8 8
11 Midterm Project 0 0 0
12 Midterm Exercise 0 0 0
13 Final Project 0 0 0
14 Final Exercise 0 0 0
15 Preparation for Final Exam 1 15 15
16 Final Exam 1 3 3
  120