Modeling the supply chain /

Modeling the supply chain /

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Bibliographic Details
Author / Creator:Shapiro, Jeremy F., 1939-
Imprint:Pacific Grove, CA : Brooks/Cole-Thomson Learning, 2001.
Description:xxii, 586 p. : ill. ; 24 cm.
Language:English
Subject:
Material requirements planning -- Mathematical models.
Materials management -- Mathematical models.
Business logistics -- Mathematical models.
Industrial procurement -- Mathematical models.
Marketing channels -- Mathematical models.
Linear programming
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/4478913
Hidden Bibliographic Details
ISBN:0534373631
Notes:Includes bibliographical references and index.
Table of Contents:
  • Part 1. Introduction to Supply Chain Management
  • 1. Supply Chain Management, Integrated Planning, and Models
  • 1.1. Fundamentals of Supply Chain Management
  • Supply Chain Networks
  • Integrated Supply Chain Planning
  • Objectives of Supply Chain Management
  • 1.2. Overview of Supply Chain Models and Modeling Systems
  • 1.3. Supply Chain Modeling Incorporates Concepts from Several Management Disciplines
  • Strategy Formation and the Theory of the Firm
  • Logistics, Production, and Inventory Management
  • Management Accounting
  • Demand Forecasting and Marketing Science
  • Operations Research
  • 1.4. Innovations in Information Technology Require and Support Supply Chain Modeling
  • 1.5. Organizational Adaptation to Integrated Supply Chain Management and Modeling
  • Notes
  • References
  • 2. Information Technology
  • 2.1. Developments in Enterprise Resource Planning Systems and E-Commerce
  • ERP Systems
  • E-Commerce
  • 2.2. Comparison of Transactional IT and Analytical IT
  • Time Frame Addressed
  • Purpose
  • Business Scope
  • Nature of Databases
  • Response Time for Queries
  • Implications for Business Process Redesign
  • 2.3. Hierarchy of Supply Chain Systems
  • Components of the Supply Chain System Hierarchy
  • Frequency of Analysis, Cycle Times, and Run Times of Supply Chain Systems
  • Communication Among Supply Chain Systems of Data and Decisions
  • Balancing Centralized and Decentralized Decision Making
  • 2.4. Legacy Systems and Legacy Thinking
  • 2.5. Final Thoughts
  • Exercises
  • Notes
  • References
  • Part 2. Modeling and Solution Methods
  • 3. Fundamentals of Optimization Models: Linear Programming
  • 3.1. Linear Programming Modeling Examples
  • Resource Allocation Model
  • Infeasible and Unbounded Models
  • Spreadsheet Optimization
  • Multiperiod Resource Allocation Model
  • Network Models
  • 3.2. Properties of Linear Programming Models
  • Linearity
  • Separability and Additivity
  • Indivisibility and Continuity
  • Single Objective Function
  • Data Known with Certainty
  • 3.3. Interpreting an Optimal Linear Programming Solution
  • Shadow Prices
  • Reduced Cost Coefficients
  • Dual Linear Programming Model
  • Parametric and Sensitivity Analysis
  • 3.4. Multiple Objective Optimization
  • 3.5. Stochastic Programming
  • Generalizations
  • 3.6. Final Thoughts
  • Exercises
  • Notes
  • References
  • Appendix 3.A. The Simplex Method of Linear Programming
  • 4. Fundamentals of Optimization Models: Mixed Integer Programming
  • 4.1. Mixed Integer Programming Modeling Vignettes
  • Fixed Costs
  • Economies of Scale
  • Production Changeovers
  • Multiple Choice and Other Nonnumeric Constraints
  • 4.2. Distribution Center Location Models
  • DC Location Model
  • Generalizations
  • 4.3. Supply Chain Network Optimization Models
  • Strategic Planning at Ajax
  • Generalizations
  • 4.4. Designing and Implementing Optimization Modeling Systems for Strategic and Tactical Planning
  • System Design
  • System Implementation
  • 4.5. Optimization Software
  • Optimizers
  • Algebraic Modeling Language Development Kits
  • Spreadsheet Optimizers
  • 4.6. Final Thoughts
  • Exercises
  • Notes
  • References
  • Appendix 4.A. The Branch-and-Bound Method for Mixed Integer Programming
  • 5. Unified Optimization Methodology for Operational Planning Problems
  • 5.1. Heuristic Methods for Combinatorial Optimization Problems
  • Local Delivery Heuristics
  • 5.2. Overview of the Unified Optimization Methodology
  • Production Scheduling Example of Decomposition
  • Unified Optimization Methodology
  • 5.3. Unified Optimization Methodology Applied to Vehicle Routing
  • Statements of the Optimization Models
  • Numerical Solution
  • Generalizations
  • 5.4. Unified Optimization Methodology Applied to Production Scheduling
  • Company Background and Numerical Data
  • Unified Optimization Methodology Specialized to Goodstone's Production Scheduling Problem
  • Production Scheduling Solution
  • Generalizations
  • 5.5. Final Thoughts
  • Exercises
  • Notes
  • References
  • 6. Supply Chain Decision Databases
  • 6.1. Data Aggregations
  • Aggregating Products
  • Aggregating Customers and Markets
  • Aggregating Suppliers
  • 6.2. Facility Data
  • Recipes, Processes, Resources, and Costs
  • 6.3. Transportation Network Data
  • Transportation Network Submodels
  • Transportation Costs and Capacities
  • Modal Choice and Shipment Sizes
  • Utilities for Generating Networks
  • 6.4. Supplier Data
  • Vendor Costs and Constraints
  • 6.5. Role of Management Accounting
  • Develop Causal Cost Relationships of Direct and Indirect Costs
  • Activity-Based Costing
  • Connection of ABC to Optimization Models and the Taxonomy of Costs
  • Computation of Transfer Prices, Product and Customer Costs from an Optimal Solution to a Supply Chain Model
  • 6.6. Demand Forecasting
  • Background
  • Types of Forecasting Models
  • Demand Data Specifications for Optimization Models
  • Forecasting Software
  • 6.7. Global and Policy Data
  • 6.8. Model Output Data
  • Management Reports of Output Data
  • Shadow Prices and Reduced Costs
  • Derived Output
  • 6.9. Connections Among Supply Chain Decision Databases
  • Scenarios
  • Multiperiod Decision Databases
  • Hierarchies
  • 6.10. Graphical Displays of Data Inputs and Outputs
  • 6.11. Final Thoughts
  • Exercises
  • Notes
  • References
  • Part 3. Applications
  • 7. Strategic and Tactical Supply Chain Planning: State-of-the-Art Modeling Applications
  • 7.1. Resources and the Resource-Based View of the Firm
  • Taxonomy of Resources
  • Summary of the Resource-Based View of the Firm
  • Connections with Optimization Models
  • 7.2. Strategic Analysis of Logistics Supply Chains
  • A Framework for Logistics Strategy Formation
  • Constructing an Optimization Model for Strategic Logistics Planning
  • 7.3. Redesigning the Distribution Network of an Electronics Products Company
  • 7.4. Strategic Analysis of Manufacturing Supply Chains
  • A Framework for Manufacturing Strategy Formation
  • Constructing an Optimization Model for Strategic Manufacturing Planning
  • 7.5. Two Manufacturing Strategy Applications
  • Worldwide Sourcing at Delta Industrial Chemicals
  • Postmerger Consolidation of Consumer Paper Companies
  • 7.6. Tactical Planning
  • 7.7. Two Tactical Planning Applications
  • Monthly Planning at an Industrial Gases Company
  • Monthly Planning at a Beer Company
  • 7.8. Final Thoughts
  • Exercises
  • Notes
  • References
  • 8. Strategic and Tactical Supply Chain Planning: Advanced Modeling Applications
  • 8.1. Integrating Supply Chain and Demand Management
  • 8.2. Price and Location Sensitive Revenue Curves
  • 8.3. Integrating Supply Chain and Marketing Models for Consumer Products
  • Consumer Products Supply Chains
  • Modeling the Effects of Marketing Decisions on Demand for Consumer Products
  • Integrating Supply Chain and Marketing Models for Manufacturers of Consumer Products
  • Illustrative Numerical Model
  • 8.4. Planning for New Product Introduction and Growth
  • 8.5. Optimization Models for Competitive Analysis
  • Structural Analysis of Industries
  • Theory of Industrial Organization
  • A Model of Price Competition
  • Illustrative Numerical Model
  • 8.6. Application of Competitive Analysis in the Forest Products Industry
  • Practical Issues of Price Competition
  • 8.7. Decision Trees and Stochastic Programming
  • Decision Trees
  • An Inventory Example of Stochastic Programming
  • 8.8. Supply Chain Strategies for Managing Product Variety
  • Exploit Component Commonality and Postponement of Product Differentiation
  • Assemble Differentiated Products from Vanilla Boxes
  • Implement Quick Response to Early Sales
  • 8.9. Scenario Planning
  • Methodology
  • Connections to Optimization Modeling
  • 8.10. Final Thoughts
  • Exercises
  • Notes
  • References
  • 9. Integration of Financial and Physical Supply Chains
  • 9.1. Optimization Models for Corporate Financial Planning
  • Modeling the Balance Sheet
  • Numerical Example of an Optimization Model for Corporate Financial Planning
  • Model and Methodological Extensions
  • 9.2. Financial Planning Issues Facing the Multinational Corporation
  • 9.3. A Network Illustration
  • 9.4. Financial Flows Model
  • Statement of the Financial Flows Model
  • Financial Flows Model Results
  • 9.5. Modeling Exchange Rate Risks
  • 9.6. Real Options for Hedging Risks in the Global Economy
  • 9.7. Final Thoughts
  • Exercises
  • Notes
  • References
  • 10. Operational Supply Chain Planning
  • 10.1. Taxonomies of Operational Planning Problems
  • Production Planning and Scheduling
  • Vehicle Routing and Scheduling
  • Human Resources Scheduling
  • 10.2. Modeling Systems for Operational Planning
  • System Integration
  • Steps to Follow in Using a System
  • Real-Time Operational Planning
  • Other Uses of a Modeling System
  • Training, Learning, and System Evolution
  • 10.3. Vehicle Routing System for an E-Commerce Company
  • Company Background
  • Routing System Description and Use
  • Driver Assignment
  • 10.4. Production Planning System for a Semiconductor Company
  • Manufacturing and Marketing Background
  • Planning and Modeling Approaches
  • Implementation
  • Results
  • 10.5. Simulation Models and Systems
  • Deterministic Simulation
  • Monte Carlo Simulation
  • Simulation Software
  • Simulation versus Optimization
  • 10.6. Final Thoughts
  • Exercises
  • Notes
  • References
  • 11. Inventory Management
  • 11.1. Inventory Theory Models
  • Deterministic Models
  • Probabilistic Models
  • ABC Classification
  • 11.2. Incorporating Inventory Management Decisions in Strategic and Tactical Supply Chain Models
  • Incorporating Inventory Management Decisions in Strategic Supply Chain Models
  • Incorporating Inventory Management Decisions in Tactical Supply Chain Models
  • 11.3. Inventory Management in Distribution Supply Chains
  • Distribution Scheduling in a Reverse Logistics Company
  • Multiechelon Spare Parts Distribution System at IBM
  • 11.4. Inventory Management in Manufacturing Supply Chains
  • Optimizing Inventory across Hewlett-Packard's Printer Supply Chains
  • Optimal Safety Stock Placement in Kodak's Manufacturing Supply Chains
  • 11.5. Final Thoughts
  • Exercises
  • Notes
  • References
  • Part 4. The Future
  • 12. Organizational Adaptation to Optimization Modeling Systems
  • 12.1. How Organizations Make Decisions
  • The Theory of Rational Choice versus the Reality of Organizational Behavior
  • Uncertainty and Risk
  • Rule-Based Decision Making
  • Deriving Meaning from the Decision Environment
  • Decision-Making Ecologies
  • 12.2. Contested Issues about Organizational Decision Making
  • Choice-Based versus Rule-Based Decision Making
  • Clear versus Ambiguous Decision Making
  • Instrumental versus Interpretive Decision Making
  • Supply Chain Management as an Interacting Ecology
  • 12.3. Information Technology as Competitive Advantage
  • Recent History of IT as Competitive Advantage
  • Resource-Based Analysis
  • Attributes of IT as Possible Sources of Competitive Advantage
  • Complementary Organizational Resources
  • 12.4. Exploitative versus Exploratory IT Developments
  • Acquisition or Development of a Modeling System
  • Use of a Modeling System
  • Enhancement of a Modeling System
  • 12.5. Business Process Redesign and IT
  • Modeling Systems Invoke Business Process Redesign
  • 12.6. Supply Chain Coordination Processes and Incentive Contracts
  • Selecting Coordination Processes
  • Principal-Agent Theories of Incentives
  • 12.7. No Gain without Pain
  • Stages of a Strategic Supply Chain Study
  • Summary
  • 12.8. Outlook for the Future of Modeling Systems and Their Applications
  • Exercises
  • Notes
  • References
  • Index
  • Credits

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