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B019391 - MODELS AND ALGORITHMS FOR ORGANIZATION AND MANAGEMENT
Main information
Teaching Language
Course Content
Suggested readings
Learning Objectives
Prerequisites
Teaching Methods
Type of Assessment
Course program
Academic Year 2015-16
Coorte 2014 - Second Cycle Degree in Mechanical Engineering
Course year
Second year - Second Semester
Belonging Department
Industrial Engineering (DIEF)
Course Type
Single education field course
Scientific Area
MAT/09 - OPERATIONS RESEARCH
Credits
9
Teaching Hours
72
Teaching Term
01/03/2016 ⇒ 10/06/2016
Attendance required
No
Type of Evaluation
Final Grade
Course Content
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Course program
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Lectureship
Mutuality
Course teached as:
B019391 - MODELLI E ALGORITMI PER L'ORGANIZZAZIONE E LA GESTIONE
Second Cycle Degree in MECHANICAL ENGINEERING
Curriculum GESTIONALE PRODUTTIVO
B019391 - MODELLI E ALGORITMI PER L'ORGANIZZAZIONE E LA GESTIONE
Second Cycle Degree in MECHANICAL ENGINEERING
Curriculum GESTIONALE PRODUTTIVO
Teaching Language
italian
Course Content
Introduction to optimization models for decision-making. Methods and
models for the management of inventories; methods for production
planning; facility location; transport and logistics;
automatic classification
models for the management of inventories; methods for production
planning; facility location; transport and logistics;
automatic classification
Suggested readings (Search our library's catalogue)
teacher's lecture notes
Learning Objectives
Knowing models and algorithms useful for the representation and
optimization of managerial problems
optimization of managerial problems
Prerequisites
Elementary notions of linear algebra
Teaching Methods
Lectures
Type of Assessment
Oral exam
Course program
1. Linear optimization models: linear models,
network flows, integer linear programming models, modeling techniques,
logical constraints. Outline of solution methods for linear problems
2. Elementary models for inventory management:
economic production lot, instantaneous and continuous supply,
large quantities discounts, finite horizon models.
Stochastic models for inventory management - single period
(newsvendor)
Introduction to the management of supply contracts
Wholesale supply, Buy Back contracts.
3. Models and methods for production planning
Model with deterministic and variable demand;
Wagner-Within algorithm, Zangwill algorithm for backorders;
4. Advanced models for production planning; alternative formulations, cutting planes methods
5. Methods and models for the automatic classification
Introduction machine learning techniques. Robust classification
robust through support vector machines (SVM)
network flows, integer linear programming models, modeling techniques,
logical constraints. Outline of solution methods for linear problems
2. Elementary models for inventory management:
economic production lot, instantaneous and continuous supply,
large quantities discounts, finite horizon models.
Stochastic models for inventory management - single period
(newsvendor)
Introduction to the management of supply contracts
Wholesale supply, Buy Back contracts.
3. Models and methods for production planning
Model with deterministic and variable demand;
Wagner-Within algorithm, Zangwill algorithm for backorders;
4. Advanced models for production planning; alternative formulations, cutting planes methods
5. Methods and models for the automatic classification
Introduction machine learning techniques. Robust classification
robust through support vector machines (SVM)