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Supply Chain Management Technology

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... cost at each level. LEVEL MIN AVG MAX. Strategic 5 12 25. Tactical 4 8 15 ... Kuhn-Tucker Algorithm. Out-Of-Kilter Algorithm. Traveling Salesman Algorithm (TSA) ... – PowerPoint PPT presentation

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Title: Supply Chain Management Technology


1
Supply Chain Management Technology Supply Chain
Strategy vs Technology
2
Solving Different Business PainsRequires
Different Planning Solutions
SynQuest
3
Management Purposes
Business Micro-Environment
STRATEGIC Long-horizon, long increment, global
resource deployment
TACTICAL Mid-horizon, short increment, global
resource allocation
SpaceTime
OPERATIONAL Short-horizon, continuous time, local
resource utilization
Resources Human, Informational, Physical,
Financial
4
Planning at Various Levels
Models
Inputs
Forecasts
STRATEGIC
Inputs
Forecasts
RESTRICTION PROPAGATION
TACTICAL
DATA CONSOLIDATION
Facts
Inputs
Facts
OPERATIONAL
5
Benefits at Various Levels
LEVEL MIN AVG
MAX Strategic 5
12 25 Tactical
4 8 15
Operational 3 5
10
As of controllable cost at each level
6
Decision Support SystemsComponents
Data Capture
Data Processing
Model Generator
Model Preprocessor
Solver
Output Generator
7
Data Variability
Variability
0
Strategic
Operational
Tactical
Purpose
8
Solvers
9
Optimality vs Speed Tradeoff
Optimality
Speed
Strategic
Operational
Tactical
10
Examples of Heuristic Approachesin Physical
Resource Management
  • Materials Requirements Planning (MRP-X)
  • Distribution Requirements Planning (DRP)
  • Theory of Constraints (TOC)
  • Genetic Algorithms
  • Kuhn-Tucker Algorithm
  • Out-Of-Kilter Algorithm
  • Traveling Salesman Algorithm (TSA).

11
Heuristic Solvers Characteristics
  • Search for feasible solutions
  • Ignore solution revenue cost impact
  • Rules-based assume past continues
  • Follow sequential procedures
  • Depend on Gurus for practicality.

12
Heuristic Solvers Sequential Logic
P r o v i d e
M a k e
H a n d l e
O r d e r
Logistic Facilities
Customers
Suppliers
Production Facilities
13
Basic Optimization Principle (1)
In any system, the sum of partial optimum
benefits is less than (or equal to) the system
optimum benefit.
14
Basic Optimization Principle (2)
The more tradeoffs optimized simultaneously, the
more benefits obtained from a system,
15
Optimization Solvers Logic
Data Information
P r o v i d e
M a k e
H a n d l e
O r d e r
Materials
Logistic Facilities
Customers
Suppliers
Production Facilities
16
Hierarchical OptimizationFoundations
  • 1. Restriction Propagation
  • reduces solution space
  • 2. Low Solution Sensitivity
  • around objectives optimum value
  • 3. Optimality vs Speed Tradeoff
  • Strategic-Tactical-Operational.

17
Solution Economic Behavior
P r o f i t
0
O
A
B
Number of Facilities
18
Summary
  • Planning levels their interactions
  • How to abstract reality into a model
  • The correct solver
  • Speed
  • Environment
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