Supply Chain Management Models: Forward, Reverse, Uncertain, and Intelligent Foundations with Case Studies

  • 6h 27m
  • Hamed Fazlollahtabar
  • Taylor and Francis
  • 2018

Supply Chain Management (SCM) is a wide field in which several specialties are included. In general, operations and production management players use SCM to organize the problems and analyze the solution approaches. Due to these points, a reference which can encompass a range of problems and their modelling approaches is required. This book will contain three general sections of forward, reverse, intelligent, and uncertain problems. While the book provides different problems in the three commonly used categories in SCM, it is very helpful for the readers to find out, or adapt their own application studies to the ones given in the book and employ the corresponding modeliing approach.

About the Author

Hamed Fazlollahtabar had graduated in BSc and MSc of Industrial Engineering at Mazandaran University of Science and Technology, Babol, Iran at 2008 and 2010, respectively. He received his PhD of Industrial and Systems Engineering at Iran University of Science and Technology, Tehran, Iran at 2015. He has recently completed the postdoctoral research fellowship at Sharif University of Technology, Tehran, Iran, in the area of Reliability Engineering for Complex Systems. He is in the editorial board of several journals and technical committee of conferences. His research interests are supply chain planning, robot path planning, reliability engineering, and manufacturing systems. He has published over 200 research papers in international book chapters, journals, and conferences. Also, he published five books in which three of them are internationally distributed to the academicians.

In this Book

  • Multi-Layer Multi-Product Supply Chain: Strategic Marketing Model
  • Multi-Layer and Multi-Product Supply Chain: Performance Evaluation Model
  • Multi-Layer Supply Chain: Mathematical Evaluation Model
  • Supply Chain Inventory Planning: System Dynamics Model
  • Supplier Evaluation: Six Sigma Model
  • Supplier Selection and Order Allocation: Process Performance Index
  • Supply Chain: Product Life Cycle Model
  • Multi Echelon Supply Chain: CRM Model
  • Supply Chain: Activity-Based Costing, Pricing and Earned Value
  • Multi-Product Supply Chain: Customer Utility and Risk Model
  • Flexible Supply Network: VRP Model
  • Multi-Aspect Supply Chain: Depot-Customer-Depot Model
  • Food Supply Chain: Two-Stage Model
  • Multi-Period Food Supply Chain: Time-Windows Model
  • Return Items in a Multi-Layer Multi-Product Reverse Supply Chain: Clustering Model
  • Sustainable Reverse Supply Chain: Customer Requirement Fulfillment Model
  • Multi-Layer Multi-Product Reverse Supply Chain: Defects and Pricing Model
  • Reverse Supply Chain Vehicle Routing Problem: Similarity Pattern Model
  • Reverse Supply Chain: Waste Pricing Model
  • Multiple Item Reverse Supply Chain: Comprehensive Mathematical Model
  • Multi-Layer Electronic Supply Chain: Intelligent Information System
  • Multi-Layer Electronic Supply Chain: Agent-Based Model
  • Multi-Layer Electronic Supply Chain: Dynamic Route Selection in an Agent Model
  • Electronic Supply Chain Management System: Electronic Market, Customer Satisfaction, and Logistic Model
  • Electronic Supply Chain System: Fuzzy Logistic Model
  • Multiple Supply Network: Fuzzy Mathematical Programming Model
  • Facilities Relocation Problem in Supply Chain: Genetic Optimization Model
  • Reconfigurable Supply Chain: Immunity-Based Control Model
SHOW MORE
FREE ACCESS

YOU MIGHT ALSO LIKE

Book Advanced Analytics and Deep Learning Models
Book Research Methods of Computer Science
Book The Handbook of Logistics and Distribution Management 7th edition