Global Supply Chain: Using Systems Engineering Strategies to Respond to Disruptions (Systems Innovation Book Series)

Cover
Half Title
Series Page
Title Page
Copyright Page
Dedication
Table of Contents
Preface
Acknowledgments
Author
Chapter 1: Project Framework for the Global Supply Chain
	The Amorphous Global Supply Chain
	Industrial Engineering Efficacy in the Supply Chain
	Beyond Food Supply
	Export–Import Complexity of a Supply Chain
	Input-Process-Output Representation
	Input
	Constraints
	Mechanism
	Output
	PROJECT SYSTEMS FOR THE SUPPLY CHAIN
	Logistics in Project Systems
	Supply Chain Systems Constraints
	Systems Influence Theory
	Supply Chain Management by Project
	Critical Success Factors for Supply Chain Projects
	PMBOK Framework for Supply Chain
	Supply Chain Project Structure
		Problem Identification
		Project Definition
		Project Planning
		Project Organizing
		Resource Allocation
		Project Scheduling
		Project Tracking and Reporting
		Project Control
		Project Termination
	Traditional Project Implementation Template
		Planning
		Organizing
		Scheduling (Resource Allocation)
	Control (Tracking, Reporting, and Correction)
	Termination (Close, Phaseout)
		Documentation
	Value of Lean Operations
	Supply Chain Decision Analysis
		Step 1. Problem Statement
		Step 2. Data and Information Requirements
		Step 3. Performance Measure
		Step 4. Decision Model
		Step 5. Making the Decision
		Step 6. Implementing the Decision
		Brainstorming
		The Delphi Method
		Nominal Group Technique
		Interviews, Surveys, and Questionnaires
		Multivote
	Conclusion
	References
Chapter 2: Industrial Engineering Techniques in the Supply Chain
	Introduction
	Production, Quality Inspection, and the Supply Chain
	GilbreAth’s Decision Model
	Justification for Acceptance Sampling
	Acceptance Sampling in the Literature
	Single, Double, and Multiple Sampling
		Military Standard 105
		Dodge-Romig
		Plans Specifying Both α and β
		Bayesian Decision Rules
		Sequential Sampling
		Economic Criteria
		Application of Decision Theory
	Oliver-Badiru Expert System for Supplier Development
		Quality Improvement
		Cost of Product
		Delivery Commitments
		Customer Service
		Technical Capabilities
		Operational Requirements
		Strategic Alliance
			Assigning Weights
			Rating Suppliers
		Supplier Classification
		Supplier Advising
	Other Literature Examples of Supply Chain Applications
	Conclusion
	References
Chapter 3: Forecasting and Inventory Modeling for Supply Chains
	Forecasting for the Supply Chain
	Data Measurement Scales for Forecasting
	Data Determination and Collection
		Forecasting Based on Averages
			Simple Average Forecast
			Period Moving Average Forecast
			Weighted Average Forecast
			Weighted T -Period Moving Average Forecast
			Exponential Smoothing Forecast
		Regression Analysis
			Description of Regression Relationship
			Prediction
			Control
		Procedure for Regression Analysis
		Coefficient of Determination
		Residual Analysis
		Time Series Analysis
		Stationarity and Data Transformation
			Moving Average Processes
			Autoregressive Processes
	Inventory Management Models
		Economic Order Quantity Model
		Quantity Discount
	Calculation of Total Relevant Cost
		Evaluation of the Discount Option
		Sensitivity Analysis
	Modeling for Seasonal Pattern
		Standard Cyclic PDF
		Expected Value
		Variance
		Cumulative Distribution Function
		General Cyclic PDF
	Conclusion
	References
Chapter 4: Modeling for Supply Chain Optimization
	Introduction to Schedule Optimization
	General Supply Chain Scheduling Formulation
	Linear Programming Formulation
	Activity Planning Formulation
	Resource Combination Formulation
	Resource Requirement Analysis
	Integer Programming Formulation
	Conclusion
	References
Chapter 5: Learning Curve in Production and Supply Chain Systems 1
	Research Synopsis
	Introduction
	Literature Review
	Model Formulation
	Population and Sample
	Data Collection
	Analysis
	Statistical Significance Testing
	Analysis and Results
	Discussion
	Limitations
	Recommendations for Future Research
	Learning Curve Implication for Supply Chains
	Notes
	References
Chapter 6: Supplier Selection Using Multiple Criteria Optimization
	Preamble
	Supplier Selection Problem
		Supplier Selection Models
			Problem Formulation
			Criteria for Selection
	Pre-qualification of Suppliers
	Final Selection
		Single Sourcing Models
		Multiple Sourcing Models
			Single Objective Models
			Multi-criteria Models
	Multi-criteria Ranking Methods for Supplier Selection
		Pre-qualification of Suppliers
		Use of the Lp Metric for Ranking Suppliers
	Rating (Scoring) Method
	Borda Count
	Analytic Hierarchy Process (AHP)
		Basic Principles of the AHP
		Steps of the AHP Model
	Cluster Analysis
		Procedure for Cluster Analysis
	Comparison of Ranking Methods
	Group Decision-Making
	Multi-Objective Supplier Allocation Model
		Notations Used in the Model
		Mathematical Formulation of the Order Allocation Problem
	Goal Programming Methodology
		General Goal Programming Model
	Preemptive Goal Programming
	Nonpreemptive Goal Programming
	Tchebycheff (Min – Max) Goal Programming
	Fuzzy Goal Programming
	Concluding Remarks
	References
Chapter 7: Systems Models for the Supply Chain
	Introduction to Systems Engineering for Supply Chain
	Introduction to the DEJI Systems Model for Supply Chain
	Quality Accountability
	Design of Quality
	Evaluation of Supply Chain Quality
	Justification of Quality
	Integration of Quality
	The Waterfall Model
	The V-model
	Spiral Model
	References
Index