Title: Business Grid and Intelligent Supply chains
1Business Gridand Intelligent Supply chains
- e-Business Group
- Management School
2Background - AiMeS
- Advanced Internet Methods and Emergent Systems
- Largest UK funded research group in e-business
- IMRC in e-Business valued at 3M over 5 years
3Business Grid Opportunities
Resource OptimisationBusiness Community
PortalsIntelligent Supply Chains
4Business Grid Opportunities
1. Resource Optimisation Logistics
Optimisation Care Worker Optimisation
Manufacturing Optimisation
5Business Grid Opportunities
Logistics Optimisation
6Business Grid Opportunities
Care Resource Optimisation
7Business Grid Opportunities
Manufacturing Optimisation
Price?
MAKE TO STOCK
Inventory
Yield?
Time-to-market?
Price?
Vaccine
Delivery Date
How much can we make / sell?
Time
What to make?
8Business Grid Opportunities
- 2. Supply Chain Portals
- Recursive Aerospace Supply Communities
-
- Cluster Portals (Construction, Maritime,
Food) - SME Work-package Portal
9(No Transcript)
10Business Grid Opportunities
- New business models with product transparency
- And data grid.
- Intelligent Supply Chains
- Wireless product identification by RFID
- with Grid-enabled business applications
- In
- Responsive food supply chains
- Personalisation in manufacturing
11Value optimisation with RFID and data grid
- Product value tracking
- Dynamic pricing
- Customised products
(Adapted from Schwartz, 1997)
- Buy Freshness,
- Priced by real time value
(United Devices, 2004)
(Manhattan Associates, 2002)
12Value optimisation with RFID and data grid
S
Data Grid
Max Value
Food supply chain
Stores
Grower
- Minimised lost of values
- Price transparency
- Maximised value to consumers
Depots
Factories
13Value optimisation with RFID and data grid
Minimising loss of values in supply chains by
dynamically allocating products
Objective Min Costs Loss of product values in
processing Costs in transit Penalty
Subject to Traceable deteriorate values
Vm, kg Vf-m, g . EXP(-a f-m, kg .
Tf-m, kg) Vm-d, kg Vm, kg . EXP(-am,k.
Tm,k ) Vd,jk, kg Vm-d, kg . EXP(-a m-d,
jk. Tm-d, jk) Vd-r, jk, kg Vd,jk, kg .
EXP(-ad,j. Td,j) Vr, ij, jk, kg Vd-r,
jk, kg . EXP(-ad-r,ij . Td-r,ij) Dor,i gt
MinDor, i Si ODr,i Si Dor,i i, j, k, g
nodes of the supply chain
i
j
k
g
14A Case of RFID-enabled dynamic planning
Re-allocated product flows to maximize
values to supply chain and consumers
15RFID-enabled personalisation/mass customisation
in manufacturing
- Value-adding service through Grid offers agile
engineering solutions in distributed product
design and manufacturing processes. - Service platforms through Grid enable customers
individualize products by combing optimized
resources (prototyped design, specified
manufacturing processes with satisfactory quality
and costs) into virtual enterprises. - RFID technology visualizes the individualized
products in transformation processes . It
enables dynamical control of distributed
manufacturing processes to be both efficient and
agile by Grid-enabled on-line analysis process
(OLAP) and - PN-enabled process control.
- .
-
16RFID-enabled Mass customisation
- Extending process visualization to customized
product visualization. - Synchronizing distributed manufacturing with EPC
Data Grid. - Dynamically customizing products and scheduling
processes with Grid-enabled services.
Different parts ? Changed tolerance ?
Earlier delivery ? Different feature ?
(Cheng and Popov, 2004)
17RFID-enabled personalisation/mass customisation
in manufacturing
- Interacting with customers by Grid-enabled
coordination protocol. - Enhancing cooperation with abstracted business
modeling and transparent decision making.
18Automated Workflow system
Visualize Evaluate, Argument
Coordination Grid for Mass customisation
Local optimization service
19Summary Intelligent and Responsive Supply Chain
- Product transparency stimulate new business
models to revolutionise customer services. - Wireless product identification with Grid
services enables supply chain optimisation at the
product level. - Customisation in manufacturing with RFID and Grid
technologies can be enhanced towards automated
control and visualised processes.
20Summary Business Grid
- Resource sharing coordinated problem solving in
dynamic, multi-institutional virtual
organizations - On-demand, ubiquitous access to computing, data,
and services - New capabilities constructed dynamically and
transparently from distributed services - Evolved to be dominant e-Science, now
transitioning to industry (think Web in 1994)