國立虎尾科技大學 |

Multi-Criteria Decision Making in Maritime Studies and Logistics = Applications and Cases /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multi-Criteria Decision Making in Maritime Studies and Logistics/ edited by Paul Tae-Woo Lee, Zaili Yang.
Reminder of title:	Applications and Cases /
other author:	Lee, Paul Tae-Woo.
Description:	XIX, 363 p. 91 illus., 54 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Operations research. -
Online resource:	https://doi.org/10.1007/978-3-319-62338-2
ISBN:	9783319623382

Multi-Criteria Decision Making in Maritime Studies and Logistics = Applications and Cases /
Multi-Criteria Decision Making in Maritime Studies and LogisticsApplications and Cases /[electronic resource] :edited by Paul Tae-Woo Lee, Zaili Yang. - 1st ed. 2018. - XIX, 363 p. 91 illus., 54 illus. in color.online resource. - International Series in Operations Research & Management Science,2600884-8289 ;. - International Series in Operations Research & Management Science,227.

Chapter 1. Introduction -- Chapter 2. A Discourse of Multi-criteria Decision Making (MCDM) Approaches -- Chapter 3. Analytic Hierarchy Process (AHP) in Maritime Logistics: Theory, Application and Fuzzy Set Integration -- Chapter 4. Identification of Success Factors for Green Shipping with Measurement of Greenness based on ANP and ISM -- Chapter 5. Use of Fuzzy Evidential Reasoning for Vessel Selection under Uncertainty -- Chapter 6. Probabilistic Assessment of Vessel Collision Risk: An Evidential Reasoning and Artificial Potential Field-based Method -- Chapter 7. Incorporating AHP and Evidential Reasoning for Quantitative Evaluation of Inland Port Performance -- Chapter 8. Robust Evaluation of Risks in Ship-to-Ship Transfer Operations: Application of the STOCHASTIC UTA Multicriteria Decision Support Method -- Chapter 9. Financial Performance Evaluation of Shipping Companies Using Entropy and Grey Relation Analysis -- Chapter 10. Use of the Hybrid Fuzzy-Delphi-TOPSIS Approach in Identifying Optimal Bunkering Ports for Shipping Lines -- Chapter 11. Modern Heuristics of MCDM for the Operation Optimization in Container Terminals -- Chapter 12. Modeling Interdependencies among Attributes in MCDM: Its Application in Port Performance Measurement.

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).

ISBN: 9783319623382

Standard No.: 10.1007/978-3-319-62338-2doiSubjects--Topical Terms:

573517
Operations research.

LC Class. No.: HD30.23

Dewey Class. No.: 658.40301

Multi-Criteria Decision Making in Maritime Studies and Logistics = Applications and Cases /
LDR:05809nam a22004215i 4500 001 996928
003 DE-He213
005 20200701193029.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319623382 $9 978-3-319-62338-2
024 7 $a 10.1007/978-3-319-62338-2 $2 doi
035 $a 978-3-319-62338-2
050 4 $a HD30.23
072 7 $a KJT $2 bicssc
072 7 $a BUS049000 $2 bisacsh
072 7 $a KJT $2 thema
072 7 $a KJMD $2 thema
082 0 4 $a 658.40301 $2 23
245 1 0 $a Multi-Criteria Decision Making in Maritime Studies and Logistics $h [electronic resource] : $b Applications and Cases / $c edited by Paul Tae-Woo Lee, Zaili Yang.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XIX, 363 p. 91 illus., 54 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a International Series in Operations Research & Management Science, $x 0884-8289 ; $v 260
505 0 $a Chapter 1. Introduction -- Chapter 2. A Discourse of Multi-criteria Decision Making (MCDM) Approaches -- Chapter 3. Analytic Hierarchy Process (AHP) in Maritime Logistics: Theory, Application and Fuzzy Set Integration -- Chapter 4. Identification of Success Factors for Green Shipping with Measurement of Greenness based on ANP and ISM -- Chapter 5. Use of Fuzzy Evidential Reasoning for Vessel Selection under Uncertainty -- Chapter 6. Probabilistic Assessment of Vessel Collision Risk: An Evidential Reasoning and Artificial Potential Field-based Method -- Chapter 7. Incorporating AHP and Evidential Reasoning for Quantitative Evaluation of Inland Port Performance -- Chapter 8. Robust Evaluation of Risks in Ship-to-Ship Transfer Operations: Application of the STOCHASTIC UTA Multicriteria Decision Support Method -- Chapter 9. Financial Performance Evaluation of Shipping Companies Using Entropy and Grey Relation Analysis -- Chapter 10. Use of the Hybrid Fuzzy-Delphi-TOPSIS Approach in Identifying Optimal Bunkering Ports for Shipping Lines -- Chapter 11. Modern Heuristics of MCDM for the Operation Optimization in Container Terminals -- Chapter 12. Modeling Interdependencies among Attributes in MCDM: Its Application in Port Performance Measurement.
520 $a 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).
650 0 $a Operations research. $3 573517
650 0 $a Decision making. $3 528319
650 0 $a Production management. $3 566447
650 0 $a Transportation engineering. $3 633205
650 0 $a Traffic engineering. $3 639529
650 1 4 $a Operations Research/Decision Theory. $3 669176
650 2 4 $a Operations Management. $3 1069063
650 2 4 $a Transportation Technology and Traffic Engineering. $3 1069531
700 1 $a Lee, Paul Tae-Woo. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1210817
700 1 $a Yang, Zaili. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1211138
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319623368
776 0 8 $i Printed edition: $z 9783319623375
776 0 8 $i Printed edition: $z 9783319872940
830 0 $a International Series in Operations Research & Management Science, $x 0884-8289 ; $v 227 $3 1254441
856 4 0 $u https://doi.org/10.1007/978-3-319-62338-2
912 $a ZDB-2-BUM
912 $a ZDB-2-SXBM
950 $a Business and Management (SpringerNature-41169)
950 $a Business and Management (R0) (SpringerNature-43719)