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Decision Support System

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Dr. C.V. Suresh Babu
Dr. C.V. Suresh Babu

DSS for Planning and Scheduling

FormationTechnologieBusiness
1  sur  38
DECISION SUPPORT SYSTEMS for planning and scheduling in practice
DECISION SUPPORT SYSTEMS for planning and scheduling in practice I. Application Areas, Infrastructures, General Architectural Issues II. System Requirements III. Planning and Scheduling Techniques IV. System Implementations Commercial Packages
Part I. Application Areas, Infrastructures, General Architectural Issues
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
APPLICATION AREAS OF PLANNING AND SCHEDULING ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
INFORMATION SYSTEM INFRASTRUCTURE IN MANUFACTURING ENVIRONMENTS ,[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],INFORMATION SYSTEM INFRASTRUCTURE IN SERVICE ENVIRONMENTS
Part II. Important Issues in Design of Decision Support Systems
IMPORTANT ISSUES IN DESIGN OF DECISION SUPPORT SYSTEMS ,[object Object],[object Object],[object Object],[object Object],[object Object]
MODULAR (OBJECT-ORIENTED) DESIGN ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
GUI’S SHOULD ALLOW: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
GRAPHICS USER INTERFACES FOR SCHEDULING PRODUCTION PROCESSES ,[object Object],[object Object],[object Object],[object Object]
IMPORTANT OBJECTIVES TO BE DISPLAYED ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Part III. Planning and Scheduling Optimization Techniques
PLANNING AND SCHEDULING OPTIMIZATION TECHNIQUES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],PLANNING AND SCHEDULING OPTIMIZATION TECHNIQUES (continued)
IMPORTANT CHARACTERISTICS OF OPTIMIZATION TECHNIQUES ,[object Object],[object Object],[object Object]
Local Search Value Objective Function Dispatching Rules Beam Search Branch and Bound CPU - Time
COMPOSITE PRIORITY RULE THAT IS MIXTURE OF THREE BASIC PRIORITY RULES: ,[object Object],[object Object],[object Object]
DYNAMIC PROGRAMMING Characterizing Equations: ,[object Object],[object Object],[object Object],[object Object],[object Object]
INTEGER PROGRAMMING FORMULATIONS ,[object Object],[object Object],[object Object],[object Object],[object Object]
DISJUNCTIVE PROGRAMMING FORMULATIONS ,[object Object],[object Object],[object Object]
LOCAL (NEIGHBORHOOD) SEARCH METHODS ,[object Object],[object Object],[object Object]
IMPORTANT CHARACTERISTICS OF LOCAL SEARCH PROCEDURES ,[object Object],[object Object],[object Object],[object Object]
DECOMPOSITION TECHNIQUES ,[object Object],[object Object],[object Object],[object Object],[object Object]
HYBRID METHODS ,[object Object],[object Object],[object Object],[object Object],[object Object]
Part IV. System Implementation Issues Commercial Packages
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
RULES TO FOLLOW IN ORDER TO GENERATE ROBUST SCHEDULES ,[object Object],[object Object],[object Object]
LEARNING MECHANISMS ,[object Object],[object Object],[object Object],[object Object]
NEURAL NET ,[object Object],[object Object],[object Object],[object Object],INPUT UNIT OUTPUT UNIT ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],HIDDEN UNITS
OFF-LINE TRAINING BY AN EXPERT ,[object Object],[object Object],[object Object]
MULTIPLE OBJECTIVES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Weights of the Two Objectives Vary over Time and Depend on Status Quo.
GENERAL FRAMEWORK: ,[object Object],[object Object],Scaling Parameters and Switch-Over Times Depend on the Data Set Framework Above can be Combined with Local Search Heuristic.
DESIGN ISSUES WITH REGARD TO DECISION SUPPORT SYSTEMS FOR PLANNING AND SCHEDULING ,[object Object],[object Object],[object Object]
DECISION SUPPORT SYSTEMS ,[object Object],[object Object],[object Object],[object Object]
PLANNING AND SCHEDULING ,[object Object],[object Object],[object Object]
PLANNING AND SCHEDULING FRAMEWORK ,[object Object],[object Object],[object Object],[object Object],GOAL: ,[object Object]

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Decision Support System

  • 1. DECISION SUPPORT SYSTEMS for planning and scheduling in practice
  • 2. DECISION SUPPORT SYSTEMS for planning and scheduling in practice I. Application Areas, Infrastructures, General Architectural Issues II. System Requirements III. Planning and Scheduling Techniques IV. System Implementations Commercial Packages
  • 3. Part I. Application Areas, Infrastructures, General Architectural Issues
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  • 8. Part II. Important Issues in Design of Decision Support Systems
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  • 14. Part III. Planning and Scheduling Optimization Techniques
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  • 18. Local Search Value Objective Function Dispatching Rules Beam Search Branch and Bound CPU - Time
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  • 27. Part IV. System Implementation Issues Commercial Packages
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