Global Supply Chain: Using Systems Engineering Strategies to Respond to Disruptions
- Length: 168 pages
- Edition: 1
- Language: English
- Publisher: CRC Press
- Publication Date: 2022-02-04
- ISBN-10: 0367630370
- ISBN-13: 9780367630379
- Sales Rank: #0 (See Top 100 Books)
Global Supply Chain: Using Systems Engineering Strategies to Repond to Disruptions uses a systems-based approach of the tools and techniques of industrial engineering applied to the global supply chain. The specific application addressed in this book is the supply chain, which has been disrupted due to COVID-19 and the closure of several plants in the chain.
The book presents the basic tools of industrial engineering applicable to a dynamic supply chain system. It recognizes the nuances of human factors in any commerce and industry and covers the basic elements of a supply chain from a systems perspective. It highlights the global impacts of disruption caused by COVID-19 and leverages the Triple C Model of system communication, cooperation, and coordination. It also illustrates the applicability of the DEJI systems model for supply chain design, evaluation, justification, and integration. Supply chain modeling optimization examples are offered, and the introduction of a newly developed learning curve model, applied to the global supply chain, is presented. The contents of the book are applicable not only to the food supply chain but also to the supply of other commodities, including physical products, services, and desired end results.
The book is written for engineers working in production, civil, mechanical, and other industries. It will be of interest to engineering managers, consultants as well as those involved with business management. University students and instructors will also find this book useful as a general reference.
Cover Half Title Series Page Title Page Copyright Page Dedication Contents Preface Acknowledgements Author 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 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 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 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 5 Learning Curve in Production and Supply Chain Systems 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 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 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 A B C D E F G H I J L M N O P Q R S T V W
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