Use of the Fuzzy AHP Method to Evaluate Key Factors Influencing New Cross-Strait Shuttle Shipping Routes

2014 ◽  
Vol 48 (3) ◽  
pp. 125-137 ◽  
Author(s):  
Ji-Feng Ding ◽  
Chiu-Hua Jhong ◽  
Wen-Chih Huang ◽  
Ata Allah Taleizadeh
Keyword(s):  
Fuzzy Ahp ◽  
Computer Software ◽  
Geographical Location ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Hub And Spoke ◽  
Factors Influencing ◽  
Shared Goal ◽  
Third Line ◽  
Ocean Carriers

AbstractSince the volume of trade between second- and third-line cities and ports in China and Taiwan is growing steadily, ensuring the availability of shuttle shipping service within the current hub-and-spoke system has become the shared goal of government, carriers, and cargo owners. In the form of an increasingly competitive cross-strait shipping market, what key factors should carriers consider when developing a new shuttle shipping route? Hence, the main purpose of this paper was to apply the fuzzy analytic hierarchy process (FAHP) approach to evaluate key factors influencing new cross-strait shuttle shipping routes. Based on the literature and experts’ opinions, a hierarchical structure with 4 assessment aspects and 15 assessment factors was first constructed, and a FAHP algorithm model was then proposed. Finally, based on the AHP experts’ questionnaires, we used the FAHP approach to evaluate the key factors. The results showed that (1) competitive port features is the most important aspect influencing new cross-strait shuttle shipping routes for ocean carriers and (2) in order of relative importance, the top five key factors influencing new cross-strait shuttle shipping routes for ocean carriers are wharf service facilities, convenient customs clearance and administrative procedures, superior natural geographical location, computer software and hardware facilities, and adequate hinterland and cargo sources, respectively. Furthermore, some discussions and recommendations are provided in this article.

Key Factors Influencing the Building of Arctic Shipping Routes

2016 ◽  
Vol 69 (6) ◽  
pp. 1261-1277 ◽  
Author(s):  
Wen-Hwa Shyu ◽  
Ji-Feng Ding
Keyword(s):  
Western Europe ◽  
Fuzzy Ahp ◽  
The Arctic ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Empirical Survey ◽  
Factors Influencing ◽  
Arctic Shipping ◽  
Hierarchy Process

Arctic shipping routes attract more and more attention because of the increasing possibility to build commercial shipping routes which connect East Asia and Western Europe. To build profitable commercial shipping routes, shipping companies should study many issues about the Arctic carefully since it is a new and unfamiliar frontier. To find out key factors influencing the building of Arctic shipping routes, the authors applied the fuzzy Analytic Hierarchy Process (AHP) model in this study. Based on the AHP experts’ questionnaires, we applied the fuzzy AHP model to analyse the opinions of respondents. This article presents the results of an empirical survey conducted among shipping companies and academic researchers with ship captain experience to explore their attitudes toward the building of Arctic shipping routes. The findings showed that: ‘Safety and risk’ is the most important aspect affecting the building of Arctic shipping routes and in order of relative importance, the top six critical assessment factors are ‘navigation safety and risk analysis,’ ‘governance and cooperation,’ ‘navigation information,’ ‘cargo sources,’ ‘cost,’ and ‘navigator ability,’ respectively.

Evaluating key factors influencing the development of multi-country consolidation for ocean freight forwarders in Taiwan

2016 ◽  
Vol 231 (1) ◽  
pp. 342-352
Author(s):  
Ji-Feng Ding ◽  
Chung-Yuan Dye ◽  
Shin-Yun Liang ◽  
Chien-Chang Chou ◽  
Wen-Jui Tseng ◽  
...  
Keyword(s):  
Analytic Hierarchy Process ◽  
Fuzzy Analytic Hierarchy Process ◽  
Transport Cost ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Factors Influencing ◽  
Freight Forwarding ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

The development of multi-country consolidation services has become a major feasible direction for major ocean freight forwarding firms in Taiwan. However, ocean freight forwarding firms must ponder which factors are most important when considering with the development of multi-country consolidation services. Therefore, the main purpose of this article was to apply the fuzzy analytic hierarchy process method to evaluate the key factors influencing the development of multi-country consolidation services for ocean freight forwarding firms in Taiwan. Based on the literature and experts’ opinions, a hierarchical structure with 4 assessment aspects and 16 assessment factors was first constructed, and the steps of fuzzy analytic hierarchy process method then proposed. Finally, based on the analytic hierarchy process experts’ questionnaires, we used the fuzzy analytic hierarchy process method to evaluate the key factors. The results showed that (1) “cost” is the most important aspect influencing the development of multi-country consolidation services for ocean freight forwarding firms in Taiwan; (2) in order of relative importance, the top eight key factors influencing the development of multi-country consolidation services for ocean freight forwarding firms in Taiwan are “cargo accuracy and tracking management,”“consolidation cost,”“deregulation of operations,”“transport cost,”“integrated logistics information management,”“high frequency of ship sailings,”“logistics-related operating costs,” and “convenience of customs clearance,” respectively. Furthermore, some discussions and recommendations concerning practical implications are provided for ocean freight forwarding firms operating in the multi-country consolidation market.

scholarly journals Assessment of the Potential of Offshore Wind Energy in Taiwan using Fuzzy Analytic Hierarchy Process

2010 ◽  
Vol 4 (1) ◽  
pp. 96-104 ◽  
Author(s):  
Tsung-Lin Lee
Keyword(s):  
Wind Energy ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Offshore Wind ◽  
Fuzzy Analytic Hierarchy Process ◽  
Offshore Wind Energy ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Selection Of

In this paper, the application of the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) combined with a set of criteria analysis for the selection of appropriate sites for the development offshore wind energy in Taiwan is presented. The Fuzzy AHP was first conducted to rank the importance and identify the key factors of offshore wind energy successfully. From the numerical results, eight key factors that must be considered in the site selection of offshore wind energy system in Taiwan were obtained by using Fuzzy AHP model. They are: wind power, earthquakes, land use, shore type, typhoon, distance to shoreline, flight safety and water depth. Based on these factors, a set of criteria for the selection of sites for offshore wind farms was also established using five different sites in Taiwan. From the assessment results, it was found that Changhua coastal region is an appropriate site for offshore wind energy in Taiwan.

Demand creating service

2015 ◽  
Vol 27 (3) ◽  
pp. 467-585 ◽  
Author(s):  
Feng-Chung Chang ◽  
Tzong-Ru (Jiun-Shen) Lee ◽  
Szu-Wei Yen
Keyword(s):  
Fuzzy Ahp ◽  
Future Research ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Proposed Model ◽  
And Performance ◽  
Grey Relational ◽  
Service Strategies ◽  
Hierarchy Process

Purpose – The purpose of this paper is to develop a model not only for determining the key factors in selecting optimal international express suppliers, but also for extracting the priority strategic suggestions of management for international express suppliers. Design/methodology/approach – The proposed model comprises two parts. The first part identifies suitable criteria for evaluating international express supplier by reviewing studies from 1989 to 2009, after which the fuzzy analytic hierarchy process (AHP) is applied to determine the relative weights of the criteria. The second part adopts grey relational analysis to extract five priority managing strategies from which 16 strategies are developed based on three concern factors derived from the first part. Findings – The results show customers’ top three concerns when selecting international express companies. In addition, the results show the five priority strategic suggestions to international express suppliers. Research limitations/implications – The research has two major limitations. First, this study was conducted using a sample of companies operating in Taiwan. Thus, other countries such as Japan and South Korea should be examined in future research. Second, this study focuses on the application of fuzzy AHP techniques to identify key selection criteria and service strategies of international express suppliers. Other important aspects, such as performance evaluation and performance prediction in the selection of international express suppliers, were not involved in this study because of the limited research scope. Originality/value – The proposed model helps international express suppliers enhance their competitiveness and raise their customers’ satisfaction.

Key Factors of Agricultural Industry Evaluation Based on AHP and TFN

2014 ◽  
Vol 484-485 ◽  
pp. 1012-1016
Author(s):  
Lei Lei ◽  
Xi Wang
Keyword(s):  
Delphi Method ◽  
Indicator System ◽  
Triangular Fuzzy Number ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Agricultural Industry ◽  
Factors Influencing ◽  
Government Decision ◽  
Fuzzy Delphi ◽  
Hierarchy Process

Based on the AHP and TFN, this paper establishes the indicator system, and develop the strategic framework using the fuzzy Delphi method. Then the triangular fuzzy number model is established using Fuzzy Analytic Hierarchy Process, and the key factors influencing agricultural industry are extracted. The manufacturers and government decision-making body can use this as the basis, to promote the development of the agricultural industry.

scholarly journals Key Factors Influencing Sustainable Development of a Green Energy Industry in Taiwan

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Wen-Chih Huang ◽  
Chiu-Hua Jhong ◽  
Ji-Feng Ding
Keyword(s):  
Sustainable Development ◽  
Raw Materials ◽  
Production Equipment ◽  
Green Energy ◽  
Energy Industry ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
The Sustainable Development ◽  
Industry Chain ◽  
Factors Influencing

The main purpose of this paper was to apply the fuzzy analytic hierarchy process (FAHP) approach to explore key factors influencing the sustainable development of a green energy industry in Taiwan. Based on the literature and experts' opinions, a hierarchical structure with five assessment aspects and fifteen development factors was first constructed, and a FAHP algorithm model was then proposed. Finally, based on the AHP experts' questionnaires, we used the FAHP approach to evaluate the key factors. The results showed the following. (1) “Technology” is the most important aspect influencing sustainable development of green energy industry in Taiwan. (2) In order of relative importance, the top six key factors influencing sustainable development of green energy industry in Taiwan are “establishment of key technological capabilities,” “degree of integration of relevant laws and regulations,” “establishment of an industry chain,” “key raw materials and production equipment,” “protection of intellectual property,” and “preferential purchase price rates and various subsidies,” respectively.

Consumers‟ Acceptance of „Halal‟ Credit Card Services: An Empirical Analysis

2015 ◽  
Vol 3 (1) ◽  
pp. 51 ◽  
Author(s):  
Zaimy Johana Johan ◽  
Lennora Putit
Keyword(s):  
Perceived Control ◽  
Credit Card ◽  
Credit Cards ◽  
Product Knowledge ◽  
Key Factors ◽  
Developing Nation ◽  
Business Transactions ◽  
Factors Influencing ◽  
Financial Credit ◽  
Survey Questionnaires

Many past researches have been carried out in an attempt to continuously understand individuals‟ consumption behaviour. This study was conducted to investigate key factors influencing consumers‟ potential acceptance of halal (or permissible) financial credit card services. Specifically, it anticipated the influence of attitude, social influences and perceived control on consumers‟ behavioural intention to accept such services. In addition, factors such as religiosity and product knowledge were also postulated to affect consumers‟ attitude towards the act of using halal credit cards for any retail or business transactions. Using non-probability sampling approach, a total of 500 survey questionnaires was distributed to targeted respondents in a developing nation but only 220 usable feedbacks were received for subsequent data analysis. Regression results revealed that religiosity and product knowledge significantly influence consumers‟ attitude toward using halal credit card services.  Attitude in turn, subsequently has a significant impact on consumers‟ intention to accept halal financial credit card services. Several theoretical and managerial contributions were observed in this study.   

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

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