Vijayaraghavan, T. A. S <br/><br/>
Supply chain analytics 

 - New Delhi  Wiley India Pvt. Ltd.  2021 
 - xxxvii, 522 p. 
<br/><br/>Table of content<br/><br/>Section I Overview of Logistics and Supply Chain Management<br/><br/>Chapter 1 Overview of Logistics and Supply Chain Management<br/><br/>1.1 Introduction<br/><br/>1.2 SCM and Competitive Advantage<br/><br/>1.3 Driving Forces in Business and SCM<br/><br/>1.4 Overview of Logistics Management<br/><br/>1.5 Overview of Supply Chain Management<br/><br/>1.6 Supply Chain Analytics<br/><br/> <br/><br/>Section II Overview of Optimization Methods<br/><br/>Chapter 2 Overview of Optimization Methods<br/><br/>2.1 Introduction and Historical Perspective<br/><br/>2.2 Constrained Optimization Models<br/><br/>2.3 Assumptions of an LPP<br/><br/>2.4 General Form of LPP<br/><br/>2.5 Graphical Solution to Furniture Problem<br/><br/>2.6 Simplex Method<br/><br/>2.7 A Few Examples of Formulation of LPP<br/><br/>2.8 Transportation Problem<br/><br/>2.9 Assignment Problem<br/><br/> <br/><br/>Section III Facilities Location and Warehousing Decisions<br/><br/>Chapter 3 Facility Locations and Discrete Location Models<br/><br/>3.1 Introduction<br/><br/>3.2 Single Facility Location Problems<br/><br/>3.3 Multiple Facility Location Problems<br/><br/>3.4 Mathematical Formulations of Popular Location Problems<br/><br/>3.5 Conclusion<br/><br/> <br/><br/>Chapter 4 Facility Locations through Heuristic and Other Approaches<br/><br/>4.1 Introduction<br/><br/>4.2 Heuristic Methods<br/><br/>4.3 P-Median Solution for Example 4.1<br/><br/>4.4 Greedy Drop Heuristic for Capacitated Depots with Fixed Costs<br/><br/>4.5 Capacitated Fixed Charge Model Solution for Example 4.1<br/><br/>4.6 Mathematical Programming Approach to Facilities Location Problems<br/><br/>4.7 Baumol and Wolfe Method<br/><br/>4.8 Spatial Interaction Models<br/><br/> <br/><br/>Chapter 5 Tactical and Operational Decisions in Warehousing<br/><br/>5.1 Introduction and Space Determination in Warehouse Planning<br/><br/>5.2 Warehouse Operations and Layout Decisions<br/><br/>5.3 Handling Decisions<br/><br/>5.4 Layout Configuration Decisions<br/><br/>Section IV Inventory Decisions<br/><br/>Chapter 6 Inventory Concepts, Costs and Basic Models<br/><br/>6.1 Introduction<br/><br/>6.2 Reasons for Keeping Inventory<br/><br/>6.3 Reasons against Keeping Inventory<br/><br/>6.4 ABC Analysis and Pareto Analysis (80-20 Rule)<br/><br/>6.5 Managing Inventories and Inventory-Carrying Costs<br/><br/>6.6 Single-Period Inventory Models (Newsvendor Model)<br/><br/>6.7 Optimal Stock Level in Newsvendor Models (for Continuous Distributions)<br/><br/>6.8 Repetitive Order Quantities (Pull Models)<br/><br/>6.9 Production Order Quantities (POQ) Models<br/><br/>6.10 Quantity Discount EOQ Models<br/><br/> <br/><br/>Chapter 7 Inventory under Uncertainty and Service Levels<br/><br/>7.1 Introduction<br/><br/>7.2 Factors Affecting Safety Inventory<br/><br/>7.3 Understanding Demand Uncertainty<br/><br/>7.4 Service Levels and Product Availability Measures<br/><br/>7.5 Average Inventory Level<br/><br/>7.6 Estimation of Unit Service Level or Fill Rate<br/><br/>7.7 Impact of Lead Time Uncertainty on Inventory Decisions<br/><br/>7.8 Backorder Case<br/><br/>7.9 Lost Sales Case<br/><br/> <br/><br/>Chapter 8 Joint Replenishment and Lot Sizing in Inventory Decisions<br/><br/>8.1 Introduction and Inventory Investment Decisions<br/><br/>8.2 Lot Sizing Inventory Management Interpolation Technique<br/><br/>8.3 Lagrangian Multipliers<br/><br/>8.4 Joint Replenishment of Multiple Items<br/><br/>8.5 Lot-Sizing Techniques (Dynamic Lot Sizing)<br/><br/>8.6 Multi-Echelon Inventory Decisions<br/><br/>8.7 Risk Pooling or Centralization of Inventories<br/><br/> <br/><br/>Section V Transportation Decisions<br/><br/> V Transportation Decisions<br/><br/> <br/><br/>Chapter 9 Trade-Off Decisions and Network Models in Transportation<br/><br/>9.1 Introduction<br/><br/>9.2 Basic Trade-Offs in Transport Decisions<br/><br/>9.3 Transport Service Selection<br/><br/>9.4 Operational Planning in Transportation<br/><br/>9.5 Network Models<br/><br/>9.6 Minimal Spanning Tree<br/><br/>9.7 Shortest Path Algorithms<br/><br/>9.8 Bellman–Ford Algorithm ( for Negative Link Lengths)<br/><br/>9.9 Floyd-Warshall Algorithm<br/><br/>9.10 Maximum Flow Model<br/><br/> <br/><br/>Chapter 10 Routing Using the Traveling Salesman Problem Algorithms in Transportation<br/><br/>10.1 Introduction<br/><br/>10.2 Characteristics of Routing and Scheduling Problems<br/><br/>10.3 The Traveling Salesman Problem<br/><br/>10.4 Heuristics for Solving a TSP<br/><br/>10.5 Construction Heuristics<br/><br/>10.6 k-Opt Tour Improvement Method<br/><br/> <br/><br/>Chapter 11 Routing and Scheduling Problems and Methods<br/><br/>11.1 Introduction<br/><br/>11.2 Vehicle Routing Problems<br/><br/>11.3 Branch and Bound Method for Solving Routing Problems<br/><br/>11.4 Clarke–Wright Savings Algorithm for Solving Routing Problems<br/><br/>11.5 Sweep Heuristic for Solving VRPs<br/><br/>11.6 Generalized Assignment Method<br/><br/>11.7 Vehicle Scheduling Methods<br/><br/>11.8 Deficit Function Approach to Vehicle Scheduling<br/><br/> <br/><br/>Section VI Multicriteria Decision Making<br/><br/>Chapter 12 Multi-Criteria Decision Making<br/><br/>12.1 Introduction<br/><br/>12.2 Multiple-Attribute Utility Theory<br/><br/>12.3 Terminologies in MADM or MCDM Methods<br/><br/>12.4 Analytic Hierarchy Process<br/><br/>12.5 Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)<br/><br/>12.6 Basics of Fuzzy Logic<br/><br/>12.7 Fuzzy Analytic Hierarchy Process<br/><br/>12.8 Fuzzy TOPSIS 
<br/><br/> Description<br/>Supply Chain Analytics is a structured collation of important analytical tools and techniques that specifically addresses critical decision areas in warehousing, inventory, and transportation in supply chain management, which are mostly available in some technical academic papers and proceedings of conferences and so will be very helpful to find them all in one book. This book explains various practical application methods in a lucid manner so that any student with basic understanding of Decision Sciences will be able to understand popular analytical tools and techniques useful in supply chain management areas. 
<br/><br/><label>ISBN: </label>9789354243431 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Business logistics<br/>Decision making
<br/><br/><label>Dewey Class. No.: </label>658.5  / VIJ