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Demand Driven Supply Chain Management

Date: July 18-19, 2007

Fact-based methods for supply chain management enable integration with demand management at all levels of planning – strategic, tactical and operational. Case studies show how to integrate supply chain decisions with marketing and sales decisions to maximize net revenues and value. (more info below)

New Approaches to Optimizing Inventories

July 16-17, 2007

Fact-based methods for supply chain management enable integration with demand management at all levels of planning – strategic, tactical and operational. Case studies show how to integrate supply chain decisions with marketing and sales decisions to maximize net revenues and value. (more info below)

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Demand Driven Supply Chain Management

Date: July 18-19, 2007

Overview

Recent advances in fact-based methods for supply chain management have opened up opportunities for its coordination with demand management. These developments include:

• Transforming the company's business from a push to a pull system to synchronize supply with demand
• Implementing postponement strategies that delay product customization to reduce the impact of volatile demand
• Analyzing new customer orders to determine net profitability based on incremental supply chain costs
• Contingency planning for the acquisition of products with short life cycles

Data-driven supply chain models are playing an increasingly important role in helping managers translate these concepts into effective decision-making processes. In addition, their integration with data-driven models for marketing and sales, otherwise known as "marketing science," has enhanced the firm's capability to identify and pursue holistic strategies for maximizing net revenues. In this course, supply chain optimization models and marketing science models that support demand-driven supply chain management will be examined. Differences in modeling approaches across industries such as consumer products, consumer durables, retailing, and industrial commodities will also be discussed. Several cases will be presented that describe successful applications in distribution, retailing, and manufacturing companies.

Topics Covered

• Overview of supply-chain network optimization models
• Developments in information technology supporting supply chain analytics
• Analysis of postponement strategies using optimization models
• Data-driven methods for sales & operations planning
• Net profit maximization using revenue models that are price and location sensitive
• High-performance demand forecasting
• Flowcasting the retail supply chain
• Overview of market response models
• Integrating supply chain and marketing strategies in consumer products companies
• Case study: Dynamic sourcing in a container rental company
• Case study: Post-merger consolidation in a food products company
• Beyond supply chain optimization to enterprise optimization
• Business process changes to exploit analytics

Who Should Attend

This program is intended for supply chain managers and analysts who are using or seek to use data-driven models to improve decision-making. It is also intended for consultants who participate in supply chain studies, and academics who teach supply chain subjects to students in management and engineering. Participants will not need advanced analytical skills to fully absorb material presented in the program.

New Approaches to Optimizing Inventories

July 16-17, 2007

Overview

A company's goals for inventory management will vary depending on the time frame of inventory and supply chain decision making. For strategic planning, the company seeks to identify and implement inventory deployment plans that most effectively support its long term goals for expanding, contracting or otherwise re-designing its supply chain. For tactical planning, the company seeks to identify and implement aggregate inventory plans that support net revenue maximization from sales of the company's products over the coming months. For operational planning, the company seeks to design and implement control policies for individual products that minimize inventory costs while maintaining acceptable levels of customer service. In this course, modeling concepts and details will be presented for managing inventories as part of holistic supply chain optimization at all levels of planning. Cases describing successful applications in retailing, consumer products, and manufacturing companies will also be discussed.

Topics Covered

• Review of classical inventory planning models
• Overview of supply chain network optimization models
• Integration of inventory deployment decisions in strategic supply chain design studies
• Impact of RFID on inventory management
• Optimizing multi-echelon distribution networks
• Dynamic sourcing of consumer products
• Vendor-managed inventory systems
• Inventory optimization in advanced planning and scheduling
• Case study: Work-in-process inventory planning in a manufacturing company
• Case study: Distribution network expansion in a retailing company
• Case Study: Seasonal planning in a food products company

Who Should Attend

This program is intended for inventory and supply chain managers and analysts responsible for acquiring or developing, and applying data-driven modeling systems. It is also intended for consultants who participate in inventory and supply chain studies, and academics who teach supply chain subjects to students in management and engineering. Participants will not need advanced analytical skills to fully absorb material presented in the program.