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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS IUE 7054 PRODUCTION PLANNING CONTROL COMPULSORY 3 0 0 5

Offered By

Production Management and Industrial Business Administration (Non-Thesis-Evening)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR HILMI YÜKSEL

Offered to

Production Management and Industrial Business Administration (Non-Thesis-Evening)

Course Objective

The aim of course is explaining the production planning and control process, and discussing methods used.

Learning Outcomes of the Course Unit

1   Being able to frame main issues in production planning and control process 2   Being able to explain demand forecasting techniques 3   Being able to express quantitative techniques used in aggragate planning, master production scheduling, material requirements planning and scheduling 4   Being able to explicate inventory control process 5   Being able to explicate inventory control models

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Demand foecasting, quantitative forecasting methods 2 Quantitative forecasting methods, moving averages, weighted moving averages, exponential smoothing forecast errors 3 Trend analysis, forecasting with seasonal indexes 4 Linear regression analysis, multiple regression analysis 5 Demand forecasting applications with MS Excel and SPSS 6 Aggregate planning, trial-and-error method, revenue management 7 Linear programming in aggregate planning 8 Transportation model in aggregate plannin 9 Material requirements planning (MRP) 10 Scheduling, priority rules, Johnson rule 11 Capacity planning 12 Inventory management, inventory costs, continuous review system, periodic review system 13 ABC analysis, inventory control models, economic order quantity model 14 Production model, inventory models with quantity discounts, economic order quantity model regarding shortage, newsvendor model

Recomended or Required Reading

Üzeyme Doğan, Üretim Planlaması ve Kontrolü, Üniversite Ofset, Izmir, 1997 Hilmi Yüksel, Üretim/Işlemler Yönetimi: Temel Kavramlar, Nobel Yayınları, Ankara, 2009 Heizer, J. ve Render, B. Operations Management, 6th edition. Pearson Education., 2001 Chase B., Nichalos, J. Aquilano ve Jacobs, R. Operations Management for Competitive Advantage, 10th edition. McGraw Hill., 2004

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 STT TERM WORK (SEMESTER) 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 1 14 Preparations before/after weekly lectures 14 3 42 Preparation for midterm exam 1 20 20 Preparation for final exam 1 20 20 Preparing presentations 1 20 20 Final 1 3 3 Midterm 1 3 3 TOTAL WORKLOAD (hours) 122

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 LO.1 1 LO.2 1 LO.3 1 LO.4 1 LO.5 1