000			05962nam a22002057a 4500
999			_c3843 _d3843
005			20221021133416.0
008			221021b ||||| |||| 00| 0 eng d
020			_a9789354243431
082			_a658.5 _bVIJ
100			_aVijayaraghavan, T. A. S _99066
245			_aSupply chain analytics
260			_bWiley India Pvt. Ltd. _aNew Delhi _c2021
300			_axxxvii, 522 p.
365			_aINR _b879.00
504			_aTable of content Section I Overview of Logistics and Supply Chain Management Chapter 1 Overview of Logistics and Supply Chain Management 1.1 Introduction 1.2 SCM and Competitive Advantage 1.3 Driving Forces in Business and SCM 1.4 Overview of Logistics Management 1.5 Overview of Supply Chain Management 1.6 Supply Chain Analytics Section II Overview of Optimization Methods Chapter 2 Overview of Optimization Methods 2.1 Introduction and Historical Perspective 2.2 Constrained Optimization Models 2.3 Assumptions of an LPP 2.4 General Form of LPP 2.5 Graphical Solution to Furniture Problem 2.6 Simplex Method 2.7 A Few Examples of Formulation of LPP 2.8 Transportation Problem 2.9 Assignment Problem Section III Facilities Location and Warehousing Decisions Chapter 3 Facility Locations and Discrete Location Models 3.1 Introduction 3.2 Single Facility Location Problems 3.3 Multiple Facility Location Problems 3.4 Mathematical Formulations of Popular Location Problems 3.5 Conclusion Chapter 4 Facility Locations through Heuristic and Other Approaches 4.1 Introduction 4.2 Heuristic Methods 4.3 P-Median Solution for Example 4.1 4.4 Greedy Drop Heuristic for Capacitated Depots with Fixed Costs 4.5 Capacitated Fixed Charge Model Solution for Example 4.1 4.6 Mathematical Programming Approach to Facilities Location Problems 4.7 Baumol and Wolfe Method 4.8 Spatial Interaction Models Chapter 5 Tactical and Operational Decisions in Warehousing 5.1 Introduction and Space Determination in Warehouse Planning 5.2 Warehouse Operations and Layout Decisions 5.3 Handling Decisions 5.4 Layout Configuration Decisions Section IV Inventory Decisions Chapter 6 Inventory Concepts, Costs and Basic Models 6.1 Introduction 6.2 Reasons for Keeping Inventory 6.3 Reasons against Keeping Inventory 6.4 ABC Analysis and Pareto Analysis (80-20 Rule) 6.5 Managing Inventories and Inventory-Carrying Costs 6.6 Single-Period Inventory Models (Newsvendor Model) 6.7 Optimal Stock Level in Newsvendor Models (for Continuous Distributions) 6.8 Repetitive Order Quantities (Pull Models) 6.9 Production Order Quantities (POQ) Models 6.10 Quantity Discount EOQ Models Chapter 7 Inventory under Uncertainty and Service Levels 7.1 Introduction 7.2 Factors Affecting Safety Inventory 7.3 Understanding Demand Uncertainty 7.4 Service Levels and Product Availability Measures 7.5 Average Inventory Level 7.6 Estimation of Unit Service Level or Fill Rate 7.7 Impact of Lead Time Uncertainty on Inventory Decisions 7.8 Backorder Case 7.9 Lost Sales Case Chapter 8 Joint Replenishment and Lot Sizing in Inventory Decisions 8.1 Introduction and Inventory Investment Decisions 8.2 Lot Sizing Inventory Management Interpolation Technique 8.3 Lagrangian Multipliers 8.4 Joint Replenishment of Multiple Items 8.5 Lot-Sizing Techniques (Dynamic Lot Sizing) 8.6 Multi-Echelon Inventory Decisions 8.7 Risk Pooling or Centralization of Inventories Section V Transportation Decisions V Transportation Decisions Chapter 9 Trade-Off Decisions and Network Models in Transportation 9.1 Introduction 9.2 Basic Trade-Offs in Transport Decisions 9.3 Transport Service Selection 9.4 Operational Planning in Transportation 9.5 Network Models 9.6 Minimal Spanning Tree 9.7 Shortest Path Algorithms 9.8 Bellman–Ford Algorithm ( for Negative Link Lengths) 9.9 Floyd-Warshall Algorithm 9.10 Maximum Flow Model Chapter 10 Routing Using the Traveling Salesman Problem Algorithms in Transportation 10.1 Introduction 10.2 Characteristics of Routing and Scheduling Problems 10.3 The Traveling Salesman Problem 10.4 Heuristics for Solving a TSP 10.5 Construction Heuristics 10.6 k-Opt Tour Improvement Method Chapter 11 Routing and Scheduling Problems and Methods 11.1 Introduction 11.2 Vehicle Routing Problems 11.3 Branch and Bound Method for Solving Routing Problems 11.4 Clarke–Wright Savings Algorithm for Solving Routing Problems 11.5 Sweep Heuristic for Solving VRPs 11.6 Generalized Assignment Method 11.7 Vehicle Scheduling Methods 11.8 Deficit Function Approach to Vehicle Scheduling Section VI Multicriteria Decision Making Chapter 12 Multi-Criteria Decision Making 12.1 Introduction 12.2 Multiple-Attribute Utility Theory 12.3 Terminologies in MADM or MCDM Methods 12.4 Analytic Hierarchy Process 12.5 Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) 12.6 Basics of Fuzzy Logic 12.7 Fuzzy Analytic Hierarchy Process 12.8 Fuzzy TOPSIS
520	a		_aDescription 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.
650			_aBusiness logistics _9435
650			_aDecision making _9401
942			_2ddc _cBK