The Complete Course On Modeling The Supply Chain

Category:   The Complete Course On Modeling The Supply Chain

Course Description

Supply chains don’t manage themselves, although managers sometimes wish they did. For everything you’ll need to know about analyzing supply chains, you’ll need MODELING THE SUPPLY CHAIN. By using models to analyze the supply chain, you can quickly and effectively find ways to optimize its performance.

Benefit of Attending

  • Discuss the ways in which supply management is integrated management and how models can help managers achieve holistic or integrated planning.
  • Explore the ways in which supply chain modeling draws on concepts from many disciplines including strategy formation, logistics, management accounting, demand forecasting, and operations research.
  • Discuss the developments in information technology that have made holistic supply chain planning possible and necessary.
  • Understand the importance of the acquisition and application of analytical IT tools, such as descriptive and optimization models in improving supply chain management.
  • Examine a hierarchy of modeling systems intended to support strategic, tactical, and operational supply chain decision making.

Course Outline

  • Fundamentals of supply chain management
  • Overview of supply chain models and modeling systems
  • Supply chain modeling incorporates concepts from several management disciplines
  • Innovations in information technology require and support supply chain modeling
  • Enterprise resource planning systems
  • E-Commerce
  • Radio-Frequency identification
  • Comparison of transactional and analytical information technology
  • Hierarchy of supply chain systems
  • Heuristic methods for combinatorial optimization problems
  • Overview of the unified optimization methodology
  • Unified Optimization Methodology Applied to vehicle routing and to production scheduling
  • Demand forecasting
  • Simulation models
  • Systems dynamics models
  • Activity-based costing
  • Metrics, data envelopment analysis, and the balanced scorecard
  • Data aggregations
  • Facility data
  • Transportation network data
  • Inventory data
  • Supplier data
  • Cost data
  • Customer and market data
  • System-wide and policy data
  • Model output data
  • Mapping and other graphical displays of data inputs and outputs
  • Connections among supply chain decision databases
  • Resources and the source-based view of the firm
  • Strategic analysis of logistics supply chains
  • Two logistics strategy applications
  • Strategic analysis of manufacturing supply chains
  • Two manufacturing strategy applications
  • Manufacturing postponement strategies
  • Tactical planning
  • Two tactical planning applications
  • Stages of a strategic supply chain study
  • Taxonomies of operational planning problems
  • Modeling systems for operational planning
  • Vehicle-routing system for an e-commerce company
  • Production-planning system for a semiconductor company
  • Dynamic sourcing in a reverse logistics company
  • Classical inventory models
  • Inventory deployment models for strategic supply chain design
  • Strategic inventory deployment across a retailing distribution network
  • Aggregate inventory models for tactical supply chain planning
  • Spare-parts inventory management
  • Inventory management in manufacturing supply chains
  • Scenario planning
  • Contingency planning
  • Decision trees
  • Stochastic programming and applications
  • Risk management of supply chains
  • Overview of enterprise optimization modeling
  • Integrating supply chain and demand management decisions
  • Price-and-location-sensitive revenues
  • Integrating supply chain and marketing models for consumer products
  • Optimization models for competitive analysis
  • Integrating supply chain and demand management decisions with corporate financial decisions
  • Optimization models for corporate financial planning
  • Financial planning issues facing the multinational corporation
  • Financial flows model
  • How organizations make decisions
  • Contested issues about organizational decision making
  • Achieving supply chain competitive advantage through information technology
  • Incentive contracts
  • Outlook for the future of supply chain modeling systems and their applications