86478 - Production Management and Optimisation

Learning outcomes

The student learns the general criteria and methods aimed to the production system optimization.

Course contents

• Introduction and Background to Lean Manufacturing e Lean Supply Chain: Lean Manufacturing Systems e Cell Design: Born and development of lean manufacturing; Waste reduction and culture paradigm; Toyota Production System (TPS); Theorical methods for lean production; World Class Manufacturing; Introduction and principles to Industry 4.0.
• Advanced Production System from green field: Overall methodology to design a production system: from the product feasibility study to executive project/design of the manufacturing system.
• Methods and model to Design of Production System: Flow-shop, Job-shops, FMS, Cellular Manufacturing (CM): Supporting technologies and methods to CM; Clustering methods to Group Technology and CM; Cell reconfigurability toward Industry 4.0; Family product Design.
• Production balancing: balancing of production mix and production volume. Problem examples. Design and number of production resources.
• Economic order quantity in Lean Supply Chain: strategies for the stock assessment in Logistics systems and chains. Consignment Stock methods; Collaborative planning, Supplier Managed Inventory - SMI; Analytical models.
• Push-pull production management models: management and design of kan-ban systems; lean manufacturing principles and stock reduction.
• Methods and models for Production optimization: Queueing Theory, Montecarlo Analysis.
• Methods and models for Production scheduling: Theory and analytical models for industrial applications.
• Methods and tools for the value chain analysis: Mapping the value chain through Value Stream Mapping (VMS).

Readings/Bibliography

Dedicated bibliography covering the entire class programme will be uploaded step-by-step on AMS Campus platform. Specific info will be provided at the end of each lesson. Additional readings are available upon request (but they are not mandatory to pass this class).

Teaching methods

In presence.

The course is organized in frontal lectures in which the main topic are discussed and followed by numerical and practical applications. At the end of each topic, a comprehensive exercise is proposed and solved in class. Such approach underlines the applied nature of this discipline and aims at teaching the solving methodology beyond concrete problems from the industrial practice.

Lectures may include case studies and applications promoting active partecipation and interactions among the attendants.

Assessment methods

The final exam is a unique written paper for both parts made of numeric applications and open questions covering the entire class programme.

Office hours

See the website of Riccardo Accorsi