Inventory Control and Production Planning (MAE833): Διαφορά μεταξύ των αναθεωρήσεων

Τελευταία αναθεώρηση της 12:38, 15 Ιουνίου 2023

Ελληνική Έκδοση
Undergraduate Courses Outlines
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Department of Mathematics
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General

School	School of Science
Academic Unit	Department of Mathematics
Level of Studies	Undergraduate
Course Code	MAE833
Semester	8
Course Title	Inventory Control and Production Planning
Independent Teaching Activities	Lectures (Weekly Teaching Hours: 3, Credits: 6)
Course Type	Special Background
Prerequisite Courses	-
Language of Instruction and Examinations	Greek
Is the Course Offered to Erasmus Students	Yes
Course Website (URL)	See eCourse, the Learning Management System maintained by the University of Ioannina.

Learning Outcomes

Learning outcomes	Upon successful completion of the course, students will: understand the basic principles of control of production and inventory systems understand the performance measures for production and inventory systems and how these measures affect systems cost use appropriate tools to find cost-effective production and inventory policies understand how the variability affects the systems performance.
General Competences	Working independently Decision-making Adapting to new situations Production of free, creative and inductive thinking Synthesis of data and information, with the use of the necessary technology

Syllabus

Introduction. Forecasting (Classical Demand Forecasting Methods, Forecast Accuracy, Machine Learning in Demand Forecasting, Demand Modeling Techniques). Deterministic Inventory Models (Continuous Review: Economic Order Quantity (EOQ) model, EOQ Model with Discounts, EOQ Model with shortages, Economic Production Quantity (EPQ) Model, Periodic review: Wagner-Whitin Algorithm). Stochastic Inventory Models (Continuous Review: Exact (r,Q) policy with Continuous Demand Distribution, Exact (r,Q) policy with Discrete Demand Distribution. Periodic Review with Zero Fixed Costs: Base Stock Policies, Periodic Review with Nonzero Fixed Costs: (s, S) Policies, Policy Optimality). Materials requirement planning (MRP)

Teaching and Learning Methods - Evaluation

Delivery

Face-to-face

Use of Information and Communications Technology

eCourse

Teaching Methods

Activity	Semester Workload
Lectures	39
Independent study	78
Fieldwork (3-4 set of homework)	33
Course total	150

Student Performance Evaluation

LANGUAGE OF EVALUATION: Greek
METHODS OF EVALUATION: Final exam (100%)

Attached Bibliography

See the official Eudoxus site or the local repository of Eudoxus lists per academic year, which is maintained by the Department of Mathematics. Books and other resources, not provided by Eudoxus:

Ιωάννου, Γ., Διοίκηση Παραγωγής και Υπηρεσιών, Εκδόσεις Α. Σταμούλης, Αθήνα-Πειραιάς, 2005.
Ξανθόπουλος Αλ., Κουλουριώτης Δημ., Διοίκηση παραγωγής και επιχειρησιακών λειτουργιών: σχεδιασμός, προγραμματισμός και έλεγχος σε συστήματα παραγωγής και υπηρεσιών, Εκδόσεις Τζιολα, 2019.
Muckstadt, J. A., A. Sapra. Principles of Inventory Management When You Are Down to Four, Order More. Springer, 2010
Nahmias, S., Production and Operations Analysis, McGraw-Hill: Series in Operations and Decision Sciences, 2009.
Shenoy D. and R. Rosas. Problems & Solutions in Inventory Management. Springer, 2018
Shim, J.K. and Siegel, J.G., Διοίκηση Εκμετάλλευσης (μεταφρ.), Εκδόσεις Κλειδάριθμος: Σειρά Οικονομία και Επιχείρηση, Αθήνα, 2002.
Silver, E. A., D. F. Pike, and R. Peterson. Inventory Management and Production Planning and Scheduling, 3rd ed. Hoboken, NJ: Wiley, 1998.
Snyder, L. V. and Z-J. M. Shen. Fundamentals of Supply Chain Theory, 2rd ed. John Wiley & Sons, Inc., 2019
Tersine R. J. Διαχείριση υλικών και συστήματα αποθεμάτων (μεταφρ.), Εκδόσεις Παπαζηση ΑΕΒΕ, 1984
Zipkin, P. Foundations of Inventory Management. McGraw-Hill/Irwin. 2000.
Tersine R. J. Διαχείριση υλικών και συστήματα αποθεμάτων (μεταφρ.), Εκδόσεις Παπαζηση ΑΕΒΕ, 1984
[Περιοδικό / Journal] Production and Operations Management
[Περιοδικό / Journal] Production Planning and Control.

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 * [[Διαχείριση Αποθεμάτων και Προγραμματισμός Παραγωγής (MAE833)|Ελληνική Έκδοση]]
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 === General ===
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 === Syllabus ===
-Introduction. Forecasting (Introduction. Methods. Errors. Causal methods. Qualitative methods). Aggregate planning (Basic models and solution methodologies). Inventory Control (Deterministic Models: Economic Order Quantity (EOQ) model, EOQ Model with Discounts, EOQ Model with shortages, Economic Production Quantity (EPQ) Model). Finite Horizon Models - Wagner-Whitin Algorithm. Stochastic models: Newsboy model. (r, Q) and (s, S) Policies) Material Requirements Planning (MRP)). Production Scheduling.
+Introduction. Forecasting (Classical Demand Forecasting Methods, Forecast Accuracy, Machine Learning in Demand Forecasting, Demand Modeling Techniques). Deterministic Inventory Models (Continuous Review: Economic Order Quantity (EOQ) model, EOQ Model with Discounts, EOQ Model with shortages, Economic Production Quantity (EPQ) Model, Periodic review: Wagner-Whitin Algorithm). Stochastic Inventory Models (Continuous Review: Exact (r,Q) policy with Continuous Demand Distribution, Exact (r,Q) policy with Discrete Demand Distribution. Periodic Review with Zero Fixed Costs: Base Stock Policies, Periodic Review with Nonzero Fixed Costs: (s, S) Policies, Policy Optimality). Materials requirement planning (MRP)
 === Teaching and Learning Methods - Evaluation ===
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 ! Use of Information and Communications Technology
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-Email, class web
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 ! Teaching Methods