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Decision Support Systems for Supply Chain Management

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1 Decision Support Systems for Supply Chain Management
Chap 10 王仁宏 助理教授 國立中正大學企業管理學系 ©Copyright 2001 製商整合科技中心

2 Decision Support Systems
Some decisions are better made by people: flexibility, intuition, wisdom Some decisions are better made by computers DSS allow computers and people to work together to make better decisions, range from spreadsheets to expert systems. Advanced Planning and Scheduling (APS)

3 Areas of DSS Demand planning
Supply planning: distribution resource planning system (DRP) Manufacturing planning and scheduling

4 Mathematical Tools of DSS
Operations research: developed in World War II Artificial intelligence (AI): intelligent agents Expert systems: a kind of AI, rely on an extensive database of knowledge

5 DSS Components Input data Analytical tools Presentation tools
Becoming easier to obtain Quality important - validation Analytical tools Simulation, AI, optimization, data mining Heuristics vs. Optimal solutions, bounds Presentation tools GIS, graphical displays

6 Analytical Tools Queries Statistical analysis Data mining
Online analytical processing (OLAP) tools Calculators Simulation Artificial intelligence Mathematical models and algorithms

7 Choose Appropriate Analytical Tools
The type of problem being considered Required accuracy of the solution Problem Complexity Number and type of quantifiable output measures Required speed of DSS Number of objectives or goals of the decision maker

8 Applications and Analytical Tools
Marketing: Query, statistics, data mining Routing: Heuristics, exact algorithm Production scheduling: simulation, heuristics dispatch rules Logistics network configuration: simulation, heuristics, exact algorithms Mode selection: heuristics, exact algorithm

9 Presentation Tools Reports Charts Spreadsheet tables Animation
Specialized graphic formats: layout Geographic Information System (GIS)

10 GIS Capabilities Mapping and thematic mapping Database management
Interactive data query Spatial data retrieval Geographic data manipulation Spatial data analysis Geocoding: translate addresses into geographic coordinates Geographic data import/export Buffering/polygon overlay

11 GIS Application Areas Marketing analysis
Census and demographic data analysis Real estate Geology Forestry Network analysis Site selection Routing Supply chain management

12 DSS Evaluation P. 272

13 Logistics Network Design

14 DSS Examples Logistics Network Design Supply Chain Planning
Vehicle Routing and Scheduling

15 Logistics Network Design
Data: A listing of all products Location of customers, existing warehouses and sources Demand for each product by customer location Transportation rates Variable production costs Warehousing costs Shipment sizes by product

16 Logistics Network Design
Data (Contd.): Order patterns by frequency, size, season, product Order processing costs Customer service objectives

17 Logistics Network Design

18 Logistics Network Design
The Key Issues: Number of warehouses Location of each warehouse Size of each warehouse Allocation of products to the different warehouses Allocation of customers to each warehouse

19 Logistics Network Design
The Objective is to balance service level against production/ purchasing costs, inventory carrying costs, facility costs storage, handling, fixed, transportation costs.

20 Logistics Network Design

21 Supply Chain Planning Data:
Information regarding suppliers, manufacturers, warehouses and retail stores. Forecast demands for each store. Available transportation modes, transportation costs and inventory costs.

22 Supply Chain Planning Demand planning
Production planning and detailed scheduling Distribution planning

23 Supply Chain Planning Constraints: Goal:
Each store receives its demand. Warehouse Capacity. Supplier/ Manufacturer limitations. Delivery Time. Service Level. Goal: Design production and distribution schedules so that no constraint is violated and total cost including manufacturing, inventory and transportation is as small as possible.

24 Vehicle Routing Data: A set of vehicles,
demand locations (or customers) where demand is picked up, depots.

25 Vehicle Routing

26 Vehicle Routing Constraints:
Each demand location is visited and the demand is picked Vehicle Capacity. Distance Constraint. Time Window Constraints: Earliest Pick-up time, Service time, Latest pick-up time.

27 Vehicle Routing Goal: Design routes for vehicles such that no constraint is violated and either total length of routes is as small as possible, or number of vehicles is minimized.

28 Vehicle Routing

29 Vehicle Routing

30 DSS: Past Approaches and Limitations
Many procedures have been developed. A common limitation of these procedures is the lack of robustness Lack of inexpensive graphical representation tools for geographic data. Inability to solve large scale problems on desk-top computers.

31 New Developments Deeper understanding of
the underlying structure of effective strategies for large scale models, uncertainty issues. Development of new procedures that are robust efficient practical fast.

32 New Developments Significant increase in computing power.
Development of desk-top Decision Support tools such as Geographic Information Systems (GIS).

33 Geographic Information Systems (GIS)
Definition: A GIS is an integrated computer mapping and database management system that provides functions for the storage, retrieval, management, analysis and display of geographic data.

34 Typical GIS Capabilities
Mapping Database management Geographic Data Retrieval Geographic Data Manipulation Geographic Data Analysis

35 Typical GIS Interface

36 Typical GIS Applications
Census and Demographic Data Analysis Market Analysis Land Use/ Parcel Mapping Network Analysis Transportation, Telecommunications Site Location Modeling Distribution, Logistics and Supply-Chain Management.

37 Benefits of Integrating GIS with Optimization
Development of Model Input Visualization of Data Provides Accurate Street Level Data Base One Way Streets Turn Difficulties Visualization of Strategies Generated by the Procedure

38 Benefits of Integrating GIS with Optimization
Incorporate Travel Time Estimation Model Evaluation Interactive Decision Support System.

39 Table 1:Software Vendors/Logistics

40 A Step Back: Information Technology
Internal and external systems connecting the parts of the firm to each other, customers and suppliers Companies employ various systems: Decision support systems Warehouse management systems Production planning and tracking Transaction and sales processing Communications systems: , Intranets

41 Memo


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