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Cyprus International University
TR

PRODUCTION PLANNING AND SCHEDULING

Course
EMNT501 - PRODUCTION PLANNING AND SCHEDULING
Department
Engineering Management - English - Master
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
0
T+P+L
3 + 0 + 0
Course Coordinator(s)
Dr. Behzad SANAEI
Prerequisite
-
Keywords

Course Description

The course aims to analysis of some specific problem areas within the context of planning and scheduling of production activities. Also the course give the information related definition, formulation and available solution procedures for aggregate planning and lot sizing. It includes scheduling in manufacturing systems, scheduling in service systems, design and operation of scheduling systems. Students in this course will learn fundamental problem areas of production planning and control and, the relation between planning and control activities. At the end of this course student will be able to define of Production Planning and Control Concepts, decide forecasting and evaluate the forecasting methods, decide lot size of a single item with deterministic and constant demand, compute total cost of an inventory policy and solve lot sizing problems under resource constraint with multiple items.

PRODUCTION PLANNING AND SCHEDULING

Evaluation Tools (Active Term)

Item Type Weight (%)
Midterm Exam Midterm 30
Final Exam Final 50
Presentation Presentation 20
Total 100

Course outcomes

  1. 01 Define of Production Planning and Control Concepts
  2. 02 Decide forecasting and evaluate the forecasting
  3. 03 decide aggregate production planning, and master production scheduling, material requirement planing, operational scheduling, Project Planning and CPM.

Course Syllabus

Week Topic
Week 1 Introduction to Production Planning and Control
Week 2 Forecasting Fundamentals
Week 3 Quantitative Forecasting Methods
Week 4 Forecasting-Regression Analysis; Time series Methods
Week 5 Introduction to Aggregate Planning; Aspect of Aggregate Planning
Week 6 Spreadsheet Approach to Aggregate Planning; Linear Programming Approaches to Aggregate Planning, Transportation Models
Week 7 Transportation/linear-programming formulation and simple optimization applications
Week 8 Inventory functions and costs; independent demand; EOQ and basic inventory decisions
Week 9 Reorder point, safety stock, service level and basic inventory-control policies
Week 10 Master Production Scheduling and BOM
Week 11 Material Requirements Planning — MRP
Week 12 Capacity Planning and Its Relationship with MPS and MRP
Week 13 Introduction to Operations Scheduling; Scheduling Objectives, Performance Measures, and Basic Priority/Dispatching Rules
Week 14 Single-Machine Sequencing and Simple Scheduling Applications; Johnson's Rule for a Basic Two-Machine Case
Week 15 Project submission and presentations

Reference Books & Course Materials

  1. 01 Stevenson, W. J. (2021). Operations Management (14th ed.). McGraw-Hill Education. ISBN: 978-1-260-57571-2.
  2. 02 Sipper, D., and Bulfin R.L., Production: Planning, Control, and Integration, McGram-Hill,1997, ISBN: 0-07-057682-3.
  3. 03 Chase, R. B., Jacobs, F. R., & Aquilano, N. J. (2004). Operations Management for Competitive Advantage (10th ed.). McGraw-Hill/Irwin. ISBN: 0-07-250636-9.
  4. 04 Heizer, J., & Render, B. (1995). Production and Operations Management: Strategic and Tactical Decisions (4th ed.). Prentice Hall. ISBN: 0-13-199423-9.

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

  1. 1. Analyzes, compares, and synthesizes advanced theoretical and applied knowledge in subfields of civil engineering.
  2. 2. Identifies a problem in the field, formulates a research question, collects and analyzes data, and draws conclusions using scientific methods.
  3. 3. Develops innovative solutions by applying modeling, analysis, and interpretation skills to complex engineering problems.
  4. 4. Designs new systems, processes, or materials by considering real-world constraints such as economy, environment, sustainability, and safety.
  5. 5. Plans laboratory or field studies, collects data, performs statistical analysis, and derives scientific results.
  6. 6. Effectively uses modern analysis and design software, information technologies, and measurement tools in civil engineering applications.
  7. 7. Recognizes, interprets, and integrates relationships between civil engineering and other engineering or scientific disciplines.
  8. 8. Acts in accordance with ethical principles, demonstrates professional responsibility, and evaluates the societal impacts of engineering practices.
  9. 9. Communicates research and engineering outcomes clearly and effectively through written, oral, and visual means.
  10. 10. Works effectively in intra- and interdisciplinary teams and assumes leadership roles when necessary.
  11. 11. Follows, critically evaluates, and continuously improves professional knowledge and skills through lifelong learning.
  12. 12. Evaluates the environmental, sustainability, and societal impacts of engineering practices and develops responsible solutions.

Po-Lo Matrix

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