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Introduzione al corsoIntroduzione al corso
Le decisioni di supply chain design
Ing. Tommaso Rossi
Università C. Cattaneo LIUC
Facoltà di Ingegneria
Centrodi Ricerca
sulla Logistica
CentroCentrodi Ricercadi Ricerca
sulla Logisticasulla Logistica
Corso di Progettazione e Gestione della Supply Chai n (PGSC)Corso di Progettazione e Gestione della Supply Chai n (PGSC)
Introduzione al corsoIntroduzione al corso
Supply chain topologySupply chain topology
Supplier, manufacturer
Distributor, wholesaler
Retailer
Introduzione al corsoIntroduzione al corso
Supply chain decisionsSupply chain decisions
MM DD RR
MM D1D1 RRDiDi
MM
D1D1 R1R1
DiDi RiRi
MM DD
R1R1
R2R2
Number of levels (of the logistic network), e.g. a supply chain composed by n retailers and m manufacturers is a two stages supply chain
Distance between nodes
Sourcing policy: the number of sources each node will buy from. This means to decide whether to adopt a multiple or a single sourcing strategy
Nodes capacity: this variable represents the decision of supply network design to install a certain production or inventory capacity at a certain node, i.e. how many nodes per level must be activated
Introduzione al corsoIntroduzione al corso
Supply chain design and performance (1/2)Supply chain design and performance (1/2)
The topic of performance measurement has received increasing attention in the
management accounting literature as well as in the SCM one (Cousins et al., 2008).
Supply chain performances can be classified in efficiency and effectiveness measures
(Beamon, 1999).
Efficiency refers to the ability of a SC to maximize the use of internal resources, given
the same output. Efficiency measures are therefore related to costs (basically stock
levels and transportation costs) (Simchi-Levi et al., 2001).
Effectiveness refer to the ability of a SC to satisfy clients requirements. Effectiveness is
measured against stock-out (or backlog) occurrences and quantities (Simchi-Levi et
al., 2001).
Cousins, P., Lawson, B., Squire, B., (2008) Performance measurement in strategic buyer-supplier relationships: The mediating role of socialization mechanisms, International Journal of Operations & Production Management, Vol. 28, No. 3, pp. 238-258Beamon, B.M., (1999) Measuring supply chain performances, International journal of Operations and Production Management, Vol. 19, No. 3, pp. 275-292Simchi-Levi, D., Kaminsky, P., Simchi-Levi, E. (2001) Designing and managing the supply chain, McGrow-Hill, Fairfield, Connecticut
Introduzione al corsoIntroduzione al corso
Supply chain design and performance (2/2)Supply chain design and performance (2/2)
Helbing, D., Lammer, S. (2005) Supply and production networks: from the bullwhip effect to business cycles, in: D. Armbruster, A. S. Mikhailov, K. Kaneko (eds.) “Networks of Interacting Machines: Production Organization in Complex Industrial Systems and Biological Cells”, pp. 33-66, World Scientific, SingaporeSezen, B., (2008) Relative effects of design, integration and information sharing on supply chain performance, Supply Chain Management: An International Journal, Vol. 13, No. 3, pp. 233-240Simchi-Levi, D., Kaminsky, P., Simchi-Levi, E. (2001) Designing and managing the supply chain, McGrow-Hill, Fairfield, Connecticut
24h48h
72h
livello di servizio
85 98 100%
ricavi
costi
max profit
€/anno
LS*
Supply chain performanceSupply chain design decisions
Introduzione al corsoIntroduzione al corso
Supply chain design and performance (pull contexts)Supply chain design and performance (pull contexts)
Duration of the stock-out status
Number of stock-outs
Stock-out quantity
Order inter-arrival time
Requested quantity per
order+
+
+
++
Multiple sourcing
Upstream inventory
+
Competition+
Available inventory
+
-
Splitting
+
Node dimension
+/--
Distance between
nodesForecasted
average lead time
+Forecasted lead time standard
deviation+ Actual lead time
+Desired safety
stock level
+
-+
Actual safety
stock level
Node stock
Number of stock-out
status entries
-
+
+
-
Desired cycle stock
level
Supply chain stock
+
+
Number of levels
+
Introduzione al corsoIntroduzione al corso
Supply chain design and performance (push contexts) Supply chain design and performance (push contexts) –– 1/31/3
Base case
Multiple sourcing
Splitting
Distance between nodes
SIM1
SIM2SIM3
SIM5
SIM7
Models Observed variables
stock-outs and backlogs at the retailer and at the other actors respectively
inventory levels of each actor
Data analysis
ANOVA
Regression
Scenarios
Introduzione al corsoIntroduzione al corso
Supply chain design and performance (push contexts) Supply chain design and performance (push contexts) –– 2/32/3
Number of
sources
Availability of
material
Stock outs
Number of
clients
Order
variability
Forecast
accuracy
+
+
-
-
-
-
-
Somma di SOBG
Level Multiple Sourcing Totale
1 0 133999
1 104927
2 75320
3 93050
1 Totale 407296
2 0 0
1 153722
2 147639
3 205860
2 Totale 507221
3 0 0
1 83
2 0
3 0
3 Totale 83
(vuoto) (vuoto)
(vuoto) Totale
Totale complessivo 914600
)
Introduzione al corsoIntroduzione al corso
Supply chain design and performance (push contexts) Supply chain design and performance (push contexts) –– 3/33/3
…)
Introduzione al corsoIntroduzione al corso
Supply chain design and performanceSupply chain design and performance