Multi-Criteria Decision Making in Maritime Studies and Logistics

Applications and Cases

  • Paul Tae-Woo Lee
  • Zaili Yang

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 260)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Paul Tae-Woo Lee, Zaili Yang
    Pages 1-6
  3. Zhuohua Qu, Chengpeng Wan, Zaili Yang, Paul Tae-Woo Lee
    Pages 7-29
  4. Jingzheng Ren, Marie Lützen, Hanna Barbara Rasmussen
    Pages 79-103
  5. Zaili Yang, Lefteris Maistralis, Stephen Bonsall, Jin Wang
    Pages 105-121
  6. Dimitrios I. Stavrou, Eleftherios Y. Siskos, Nikolaos P. Ventikos, John E. Psarras
    Pages 175-218
  7. Zhihong Jin, Na Li, Qi Xu, Zhan Bian
    Pages 271-322
  8. Back Matter
    Pages 355-363

About this book


This book describes a wide range real-case applications of Multi-Criteria Decision Making (MCDM) in maritime related subjects including shipping, port, maritime logistics, cruise ports, waterfront developments, and shipping finance, etc. In such areas, researchers, students and industrialists, in general, felt struggling to find a step-by-step guide on how to apply MCDM to formulate effective solutions to solving real problems in practice. This book focuses on the in-depth analysis and applications of the most well-known MDCM methodologies in the aforementioned areas. It brings together an eclectic collection of twelve chapters which seek to respond to these challenges. The book begins with an introduction and is followed by an overview of major MCDM techniques. The next chapter examines the theory of analytic hierarchy process (AHP) in detail and investigates a fuzzy AHP (FAHP) approach and its capability and rationale in dealing with decision problems of ambiguous information. Chapter 4 proposes a generic methodology to identify the key factors influencing green shipping and to establish an evaluation system for the assessment of shipping greenness. In Chapter 5, the authors describe a new function of fuzzy Evidential Reasoning (ER) to improve the vessel selection process in which multiple criteria with insufficient and ambiguous information are evaluated and synthesized. Chapter 6 presents a novel methodology by using an Artificial Potential Field (APF) model and the ER approach to estimate the collision probabilities of monitoring targets for coastal radar surveillance. Chapter 7 develops the inland port performance assessment model (IPPAM) using a hybrid of AHP, ER and a utility function. The next chapter showcases a challenging approach to address the risk and uncertainty in LNG transfer operations, by utilizing a Stochastic Utility Additives (UTA) method with the help of the philosophy of aggregation–disaggregation coupled with a robustness control procedure. Chapter 9 uses Entropy and Grey Relation Analysis (GRA) to analyze the relative weights of financial ratios through the case studies of the four major shipping companies in Korea and Taiwan: Evergreen, Yang Ming, Hanjin and Hyundai Merchant Marine. Chapter 10 systemically applies modern heuristics to solving MCDM problems in the fields of operation optimisation in container terminals. Arguing that bunkering port selection is typically a multi-criteria group decision problem, and in many practical situations, decision makers cannot form proper judgments using incomplete and uncertain information in an environment with exact and crisp values, in Chapter 11, the authors propose a hybrid Fuzzy-Delphi-TOPSIS based methodology with a sensitivity analysis. Finally, Chapter 12deals with a new conceptual port performance indicators (PPIs) interdependency model using a hybrid approach of a fuzzy logic based evidential reasoning (FER) and a decision making trial and evaluation laboratory (DEMATEL).


Case Study Container Shipping MCDM Maritime Logistics Multi-Criteria Decision Making Multiple Criteria Decision Making Port

Editors and affiliations

  • Paul Tae-Woo Lee
    • 1
  • Zaili Yang
    • 2
  1. 1.Institute of Maritime Logistics, Ocean CollegeZhejiang UniversityZhoushan, Zhejiang ProvinceChina
  2. 2.School of Maritime and Mechanical EngineeringLiverpool John Moores UniversityLiverpoolUnited Kingdom

Bibliographic information