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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. Based on bachelor's-level qualifications, be able to develop and deepen knowledge at the level of specialization in the same or a different field.
  2. Should be able to understand and appreciate the interdisciplinary interactions related to their field.
  3. Should be able to apply expert-level theoretical and practical knowledge acquired in their field.
  4. Should be able to integrate knowledge from their field with knowledge from other disciplines, interpret it, and generate new knowledge.
  5. Should be able to resolve problems encountered in their field through the application of appropriate research methods.
  6. Should be able to independently carry out research or professional work that requires expertise in their field.
  7. Should be able to develop innovative strategic approaches for resolving complex and unpredictable problems encountered in their field of practice and take responsibility for producing effective solutions.
  8. Should be able to demonstrate leadership in environments where solving problems related to their field is required.
  9. Should be able to critically assess the advanced knowledge and skills acquired in their field and manage their own learning processes.
  10. Should be able to systematically present current developments in their field and their own studies, supported by quantitative and qualitative data, to both disciplinary and non-disciplinary audiences through written, oral, and visual communication.
  11. Should be able to critically analyze and enhance social relationships and the norms that shape these relationships, and initiate actions aimed at their transformation when necessary.
  12. Should be able to communicate effectively through oral and written communication in at least one foreign language at the B2 level of the Common European Framework of Reference for Languages (CEFR).
  13. Should be able to utilize information and communication technologies and relevant computer software at an advanced level appropriate to the requirements of their field.
  14. Should be able to manage and evaluate the processes of collecting, interpreting, applying, and communicating data related to their field in accordance with social, scientific, cultural, and ethical values, and promote the understanding of these values.
  15. Should be able to develop strategies, policies, and action plans in areas related to their field and assess the results obtained in accordance with quality assurance processes.
  16. Should be able to apply the advanced knowledge acquired in their field, along with problem-solving and application skills, in interdisciplinary studies.

Po-Lo Matrix

The PO-LO matrix has not been populated yet.