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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. P01 PO1: Endowed with the ability to evaluate self-learning needs adapted to the principle of lifelong learning.
  2. P02 PO2: Established a general knowledge of economics sufficient to conduct independent and original research on economic issues and suggest relevant economic policies to solve both microeconomic and macroeconomic problems.
  3. P03 PO3: Reached the required knowledge and skills; to understand the foundations, basic framework, and complexity of economic theories; to recognize the contribution and limitations of traditional theories; to explore modern economic theories and modeling of more complex situations; and to apply introduced theories in a discussion of research interests.
  4. P04 PO4: Engaged in scientific inquiry, critical thinking, using quantitative and qualitative methods to demonstrate the ability to analyze and make recommendations for complex contemporary economic issues.
  5. P05 PO5: Demonstrated the development of critical thinking and scientific reasoning skills with an attention to ethical aspects of data analytics, and been aware of acting in accordance with the ethical standard of scientific research and professional work.
  6. P06 PO6: Been equipped with the ability to plan, take responsibility in economic projects individually or within a team for economic decision making for a variety of economic concepts in national and global environment.
  7. P07 PO7: Endowed with the ability to communicate and explain effectively economic arguments both in oral and written ways to those with scholar knowledge and non-experts.
  8. P08 PO8: Been able to apply economic theory and methods in real life situations which is of primary importance to generate relevant economic policies and conduct economic research.
  9. P09 PO9: Developed an ability to conduct economic research and write a thesis connecting the theory and empirical conditions with particular attention to ethical perspectives and social responsibilities.

Po-Lo Matrix

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