L’APPLICAZIONE DEI NUOVI STRUMENTI ANALITICI PER LA ... · realizzazione di una supply chain...
Transcript of L’APPLICAZIONE DEI NUOVI STRUMENTI ANALITICI PER LA ... · realizzazione di una supply chain...
L’APPLICAZIONE DEI NUOVI STRUMENTI ANALITICI PER LA GESTIONE EVOLUTA DEI MAGAZZINI IN UNA SUPPLY CHAIN ESTESAMagazzino 2020: uno sguardo su un futuro non troppo lontanoRelatore: Gianmario Mollea
…dal fornitore al cliente finale
In una supply chain sempre più estesae fondata sui principi della collaborazione,
anche il tema del magazzino evolve
in una vista trasversale.
In un certo senso diventa necessario seguire
il «lifecycle journey» dei prodotti, che parte
dalla realizzazione e si conclude con la vendita
al cliente finale, passando «attraverso» i vari magazzini su cui si poggia l’intera supply chain.
TESISQUARE® 2018 © TESI SpA 2
… dal fornitore al cliente finale
In quest’ottica la visibilità di ciascun attore della filiera, a monte ed a valle della fase che lo vede coinvolto
in ottica molti a molti e la sua proattività nei processi di gestione ottimizzata delle scorte favoriscono la
realizzazione di una supply chain estesa, efficiente, reattiva e collaborativa.
In tale contesto si colloca la proposta di TESISQUARE® di un modello di CONTROL TOWER, che abilita le aziende
all’applicazione di nuovi strumenti analitici per l’ottimizzazione dei processi di gestione ed «alimentazione» dei
magazzini.
TESISQUARE®
2018 © TESI SpA 3
Transportation
Replenishment - Ongoing
products
Replenishment – Promotional
products
RETAILER warehouse
MANUFACTURER
SU
PPLI
ER
S(R
AW
MA
TER
ILA
S)
RETAILER stores
FEA
TUR
ES
Scalable &
modular
Collaborative
3rd Parties
Integration
Data hub
E2E Process
TESI Control Tower: analytics for supply chain planning and optimization
INTEGRATION BROKERAGE
Web EDI SAP X-Plug Private FlowWeb Service Mobile AppXML Peppol eInvoice
INBOUND OUTBOUND
FRAMEWORK
TESI SCM
VendorMgmt.
Bid Mgmt.
ContractMgmt.
CataloguePrice List Mgmt.
Spend Mgmt.
PurchaseRequest
Processing
Order Mgmt.
InboundMgmt.
InvoiceMgmt.
SOURCING PROCUREMENT EXECUTION
TESI TMS
Order Shipment
Tracking
Booking
TransportPlanning
OptimalCarrier
RouteOptimization
CarrierPortal
Loading/ Unloadingbooking
Yard Mgmt.
Track and Trace visibility
ReverseLogistics
Service Level Control
Price Listand Rate
Rate simulation
Pre-invoicing
SHIPMENT PLANNING COLLABORATION EXECUTION COSTING
Document Management Workflow
CONTROL TOWER
FEA
TUR
ES
Scalable &
modular
Collaborative
3rd Parties
Integration
Data hub
E2E Process
Analytics
5TESISQUARE® 2018 © TESI SpA
TESI Control TowerMain Objects
Provide a set of tools for the synthesis, analysis, control, and governance of all data coming
from the entire Supply Chain process.
6
Supports decisions so enabling to quickly intercept critical issues, anomalies and points of improvement in order to increase supply chain
performance.
Enable analysis of reliable data updated near-real time.
Provide a proactive tool thanks to the management of alerts based on thresholds configurated.
A set of pre-configured
Reports and Widgets based on SCOR model and studied conducted with PoliMI.
TESISQUARE® 2018 © TESI SpA
TESI Control TowerMain achievements
Provide a set of tools for the synthesis, analysis, control, and governance of all data coming
from the entire Supply Chain process.
7
Extend the use to different roles of the organization (from the operative user to the decision maker) in a different form and modality according to the specific role requirements.
Designed with an open architecture aimed at further roadmap evolutions.
Make each user autonomous in configuring his own Control Tower, focusing his monitoring and performance objectives, and generating autonomous to analyzes.
TESISQUARE® 2018 © TESI SpA
TESISQUARE Platform: BIG DATA and transactions generator between business partners
INTEGRATION BROKERAGE
Web EDI SAP X-Plug Private FlowWeb Service Mobile AppXML Peppol eInvoice
INBOUND OUTBOUND
FRAMEWORK
TESI SCM
Vendor
Mgmt.
Bid Mgmt.
ContractMgmt.
Catalogue
Price List Mgmt.
Spend Mgmt.
PurchaseRequest
Processing
Order Mgmt.
InboundMgmt.
InvoiceMgmt.
SOURCING PROCUREMENT EXECUTION
TESI TMS
Order
Shipment
Tracking
Booking
Transport
Planning
OptimalCarrier
RouteOptimization
Carrier
Portal
Loading/ Unloadingbooking
Yard Mgmt.
Track and
Trace visibility
ReverseLogistics
Service Level Control
Price List
and Rate
Rate simulation
Pre-invoicing
SHIPMENT PLANNING COLLABORATION EXECUTION COSTING
Document Management Workflow
8TESISQUARE® 2018 © TESI SpA
TESISQUARE Platform: BIG DATA and transactions generator between business partners
TESISQUARE® 2018 © TESI SpA 9
BUSINESS
PARTNER
SUPPLIERS
CARRIERS
DEVICES
CUSTOMER
In which sectors can the BIG DATA, Blockchain and Advanced Analytics technologies be applied?
Big Data technology
is enabling the
construction of "digital
ecosystems" on which
to base Blockchain
and Analytics projects.
TESISQUARE® 2018 © TESI SpA 10
BIG DATA
Data Hub
▪ The meaning is to extract value, from the huge amount
of data present in the corporate IT infrastructure,
managing ed analyze them according to the BIG DATA
approach, evolving from Data Silos to Data Lake view.
Data lake pillars:
▪ Normalize any data in a data lake
▪ Receive and upload data in near real time
▪ Upload data from IOT and social networks
▪ Enable data mining process
TESISQUARE® 2018 © TESI SpA 11
NEW: DATA LAKE
OLD: DATA SILOS
PRESCRIPTIVEANALYTICS
PREDICTIVEANALYTICS
DIAGNOSTOCS ANALYTICS
DESCRIPTIVEANALYTICS
Analytics
Advanced Analytics for:
▪ read information hidden in the data
more easily;
▪ analyze and describe situations / actions
through data (descriptive / diagnostic
analytics);
▪ making predictions starting from current
data (predictive analytics);
▪ plan pro-actively actions based on the
predictions made (prescriptive
analytics).
TESISQUARE® 2018 © TESI SpA 12
Advanced Analytics: from the data to extract its "added value"
ADVANCED
ANALYTICS
What
happend?
Why did
it happend?
What will
happen?
How can we
make it happen?
Collaborative Warehouse fullfilment processesin an Extended Supply Chain
TESISQUARE® 2018 © TESI SpA 13
Automatic
reordering of
finished products
Raw material
reorder, WIP
Promotional orders
RETAILER warehouse
MANUFACTURER
Sa
les
fore
ca
st
Pro
mo
tio
na
l
co
mm
itm
en
ts
RETAILER stores
Raw material
reorder, WIP
Warehouse layout
optimization
Routing and planning
Ro
utin
g a
nd
pla
nn
ing S
UPPLI
ER
S
(RA
W M
ATE
RIL
AS)
TESI TMS
(routing and planning)
Collaborative Warehouse fullfilment processesin an Extended Supply Chain Optimization and Predictive Analytics in TESISQUARE®
TESISQUARE® 2018 © TESI SpA 14
PROCUREMENT EXECUTIONTRANSPORT
MANAGEMENT
TESI Warehouse Efficiency
TESI PromoTESI
neXt – D4C
TESI Warehouse Efficiency
▪ It identifies the items optimal position
in the picking area and keeps
the warehouse display updated
and optimized;
▪ Produces the "red list" of the badly
positioned articles, taking into account
the different constraints (merchandise,
modules conformation, references
weight, fragility, etc.);
▪ It automatically identifies
the sequence of goods movement
to minimize the proposed movements,
parallelizing the operations and
enabling integration with the WMS.
TESISQUARE® 2018 © TESI SpA 15
In collaboration with ACT-OR Solution
TESI neXt – D4C
TESI neXt-D4C (Demand for
Collaboration) represents the new
TESISQUARE® solution in collaboration
with neXtop, for the management of all
the processes related to the CPFR issue
(Collaborative, Planning, Forecasting,
Replenishment) between retailers and
manufacturers and between
manufacturers and raw materials
suppliers.
Achievable goals with TESI neXt – D4C:
▪ customer satisfaction;
▪ inventory reduction;
▪ no more out of stock.
DELI
VER
IES O
PTI
MIZ
ATI
ON
COLLABORATIVE MANAGEMENT
STO
CK
S
DELIVERIES OPTIMIZATION
JU
ST
IN T
IME
PLANNING
FORECAST EDI
DA
TA IN
TEG
RA
TIO
N
INTE
GR
ATI
ON
CO
LLA
BO
RA
TIV
E M
AN
AG
EM
EN
T
PLANNING
FO
REC
AST
STOCKS
JUST IN TIME
DATA INTEGRATION
INTE
GR
ATI
ON
VMI
CRPCPFR
TESI neXt-D4C
TESI neXt-D4C
TESI e-Integration
CPFR is a collaborative business approach on a
forecast basis, aimed at identifying critical
situations of replenishment in advance, in order
to manage them in the best possible way.
TESISQUARE® 2018 © TESI SpA 16
TESI Promo
Solution’s features:
▪ non-linear multi-paradigm prediction;
▪ fully automated;
▪ designed to handle large amounts of data;
▪ easily integrated with other applications
such as ERP, planner, Order and Inventory;
TESISQUARE® 2018 © TESI SpA 17
TESI Promo is the innovative software solution that allows you to plan promotional processes,
simulate forecasting sales scenarios and suggest the optimal purchase quantity.
0,2
4
12
18
27
30
1995 2000 2005 2010 2015 2017
€ M
illio
ns
Years
of Experience
Customer
Retention
Investments
in innovation
Customers’ worldwide
top brands
Companies in the
collaborative network
Millions
Transactions/Year
23
99,8%
8,2%
28%
42K
180
Sample Vendor in Supply Chain
Operational Visibility
Countries build up our customers’ network
International business projects
Headquarters, Branches and Partners Business Area
Growth Worldwide Coverage
Facts&Figures
30
14%
TESISQUARE® 2018 © TESI SpA
Credits
2016 2018
+30%
+26%
Revenues
Employees
19
2018
TESISQUARE® 2018 © TESI SpA 20
TESISQUARE® 2018 © TESI SpA
We aim at being a one-stop
partner to our customers
through multiple engagements:
▪ Boost innovation
▪ Run value-added services
▪ Support change
management
▪ Address complex processes
in a demanding landscape
21
22
TESI SpA HeadquartersRoreto di Cherasco (Cuneo)
BranchesBra, Milan, Rome, Turin, Padua, Genoa, Bologna
TESI InternationalMilan, Amsterdam, Paris, Barcelona, Munich
Copyright© 2018 TESI SpA. The information contained herein is proprietary and confidential; its disclosure would be extremely useful to competitors that offer similar services.
The material in this document includes a description of concepts result of a significant research and development effort. Therefore TESISQUARE® prohibits the use or disclosure of either full or partial
information contained in this document, including attachments, for purposes different from the offer evaluation aimed at the supply assignment.