Part 0 – Introduction to risk management

Concept of risk in the supply chain Simple Exponential Smoothing with Linear Trend, Double Exponential Smoothing, Double Exponential Smoothing with Linear Trend, Linear Regression, Holt-Free Linear Trend, Single Exponential Smoothing, Winters Additive Algorithm, Holt-Winters Multiplicative Algorithm), determination of MAD, MSE, CFE, MAPE, and operational hazards.

Assignment: Determination of the selling forecasting for a food distribution chain (FC).

• Beer game (exercise in classroom)

Part 1 – Modeling and simulation principles applied to risk management in the supply chain

• Basic concepts

• Continuous and discrete simulation models: use of System Dynamics in the logistical-productive field (reorder models, beer game model)

• Simulation input analysis and identification of probability distributions

• VV & A and variance reduction techniques for simulated experiments

Assignment: Construction of the beer-game model with the System Dynamics methodology

Part 2 - Impact of disruptions on supply chain

• Supply chain management, supply chain (shipper and carrier) cost structure, spatial aggregations, time aggregations, CRVP and cross-docking strategies, use of simulation in production logistics (real cases and examples)

• Inventory management models: (s, Q), (s, S), (R, S), and (R, s, S)

• Quantity discount problems, Single period probabilistic (newsboy) problems, Dynamic lot sizing policies: Wagner-Whitin Algorithm (WW), Silver-Meal Heuristic Procedure (SM), Fixed Order Quantity (FOQ), Economic Order Quantity (EOQ) For Lot (L4L), Fixed Period Requirements (FPR), Period Order Quantity (POQ), Least Unit Cost (LUC), Least Total Cost (LTC) and Part-Period Balancing (PPB).

Assignment: Definition of the inventory management model along the most robust supply chain (ITS)

Part 3 – strategic decisions to mitigate adverse events

• Strategic Importance of Supply Chains

• Supply Chain Economics

• Supply Chain Strategies

• Managing the Supply Chain

• B2B, B2C Purchasing

• Vendor Selection

• Materials Management

• Benchmarking Metrics

• Value Chains

• Global Supply Chains

• Outsourcing Strategies, Globalized Make or Buy Problem

Assignment: resilient supply chain development with AnyLogistiX

Reference texts

• W. Kelton, Randall Sadowski and David Sturrock, Simulation with Arena w/ CD-Rom”  McGraw-Hill Science/Engineering/Math

• Yih-Long Chan, WinQSB 2.0, Decision Support Software, Wiley International, ISBN 0-471-40672-4.

• David Simchi-Levi, Philip Kaminsky and Edith Simchi-Levi Design and managing the supply chain, Publisher: McGraw-Hill, 2003, ISBN: 0-07-284553-8

• REVETRIA R., CABALLINI C. (2008). A System Dynamics Model For The Simulation of a Non Multi Echelon Supply Chain: Analysis and Optimization Utilizing The Berkeley Madonna Software. INTERNATIONAL JOURNAL OF MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES, 2, 503-512.

• Revetria R., Guizzi G., Romano E., Impact of a disruption in a supply chain: an assessment model, XXII Summer School “Francesco Turco” – Industrial Systems Engineering, 2017.

Deepening texts

• Cristopher M., “Logistics and Supply Chain management (II ed.), - strategies for reducing costs and improving services”, Pitman Publishing, 1998.

• Arrigo Pareschi, Impianti Industriali, Criteri di scelta, progettazione e realizzazione, Ed. Esculapio - Progetto Leonardo, Bologna.

The exam provides for a single evaluation of each of the following elements, the grade being the sum of the individual evaluations:

1. The student's delivery of calculation reports related to Assignments.

2. Oral discussion of an in-depth report on one of the lessons discussed

3. A multiple-choice test on all subjects covered by the course.

4. Evaluation of the frequency of teaching activities (lessons and exercises) proposed in the classroom