scholarly journals Port selection based on customer questionnaire: a case study of German port selection

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Yisong Lin ◽  
Xuefeng Wang
Keyword(s):  
Selection Criteria ◽  
Large Scale ◽  
Shipping Industry ◽  
Analytic Hierarchy ◽  
Evaluation Scheme ◽  
Port Selection ◽  
Weight Calculation ◽  
New Research ◽  
Hierarchy Process

AbstractA new research idea regarding port selection concerns customer-oriented, rather than product-oriented, thinking. Through investigation and interviews with over 280 active customers in the global shipping industry, port selection criteria were proposed, and an evaluation scheme based on the responses to a questionnaire survey is compared with a scheme based on the weight calculation of the analytic hierarchy process. The results indicate that due to different priorities between customers and container carriers, port selection is sometimes inconsistent. Against the background of deployment of large-scale vessels, over-capacity has become normal in the industry; this study has great practical value for the whole industry.

Fuzzy Multi-Objective Supplier Selection considering Production Requirements in Resilient Supply Chain

2017 ◽  
Vol 10 (3) ◽  
pp. 65-83 ◽  
Author(s):  
Niloofar Katiraee ◽  
Babak Shirazi ◽  
Hamed Fazlollahtabar
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Large Scale ◽  
Optimal Order ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Practical Usefulness ◽  
Hierarchy Process ◽  
Resilient Supply Chain

One of the substantial concerns in any large scale enterprises is the process of evaluating, selecting and improving suppliers due to the involvement of many uncontrollable and unavoidable factors. To address this issue in industry, suppliers are selected in the context of a resilient supply chain since it is one way to overcome disruptions. Selection of suppliers involves a variety of both qualitative and quantitative attributes. This research proposes the five main criteria of supplier selection which are chosen based on vulnerable areas and production requirements to develop flexibility in procuring material. In order to select appropriate suppliers for optimal order allocation the fuzzy multi-objective linear programming (FMOLP) is proposed which overcomes the vagueness of the information. Also to calculate the importance of each criterion fuzzy analytic hierarchy process (FAHP) is used. Finally, the practical usefulness of the proposed method is ascertained through a case study in steel industry.

Personnel Selection for Promotion using an Integrated Consistent Fuzzy Preference Relations - Fuzzy Analytic Hierarchy Process Methodology: A Real Case Study

2020 ◽  
Vol 3 (1) ◽  
pp. 219-236 ◽  
Author(s):  
Yavuz Ozdemir ◽  
Kemal Gokhan Nalbant
Keyword(s):  
Human Resources ◽  
Analytic Hierarchy Process ◽  
Personnel Selection ◽  
Selection Criteria ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Preference Relations ◽  
Fuzzy Preference Relations ◽  
Hierarchy Process

Personnel selection is an important business process for companies. Training, experience information and personal characteristics are important qualities for employee to be recruited. The most accurate result of the personnel selection is obtained from the qualified personnel by determining the personnel who is most suitable for the job requirements. The basic idea of personnel selection is to choose the best candidate for a job. Personnel selection is crucial in human resources management. A solution to the Multi Criteria Decision Making (MCDM) problem is Personnel selection. The main goal of this paper is to find the best personnel using the integrated Consistent Fuzzy Preference Relations (CFPR) and Fuzzy Analytic Hierarchy Process (FAHP) methodology. CFPR is used to obtain the importance weight of personnel selection criteria (22 sub-criteria are categorized under 5 main criteria). Then, the importance weights of personnel selection criteria are integrated with a FAHP model to prioritize the personnel alternatives. For a case study in Turkey, the ranking of the alternatives (17) is calculated using the integrated CFPR-FAHP model, and the best personnel is selected for promotion. This methodology makes it easier for managers/human resources department to decide on recruitment and personnel promotion. The proposed methodology provides the consistent results owing to the integrated methods. The main contribution in this study is the reduction of judgments for a preference matrix using the proposed methodology. To the authors’ knowledge, this study will be the first to integrate CFPR and FAHP methods for personnel selection.

scholarly journals User needs elicitation via analytic hierarchy process (AHP). A case study on a Computed Tomography (CT) scanner

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Leandro Pecchia ◽  
Jennifer L Martin ◽  
Angela Ragozzino ◽  
Carmela Vanzanella ◽  
Arturo Scognamiglio ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Analytic Hierarchy Process ◽  
User Needs ◽  
Ct Scanner ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Integrated Quality Function Deployment as a Tool for Quality Achievement in Healthcare

2012 ◽  
Vol 1 (2) ◽  
pp. 80-92 ◽  
Author(s):  
Chintala Venkateswarlu ◽  
A. K. Birru
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Function Deployment ◽  
Healthcare Services ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
Direct Evaluation ◽  
Quality Function ◽  
Model Combining ◽  
Hierarchy Process

Quality function deployment (QFD) is a methodology that extracts client demands (CDs) and inducting them in the final service/product. Once CDs are extracted from client the traditional QFD approach uses absolute importance to identify the degree of importance for each CD. Direct evaluation of CDs based on absolute weighting without tradeoffs is easy to perform, but may lead to serious deviations from reality. An alternative to avoid this problem is to adopt the analytic hierarchy process (AHP) approach. In this paper, an integrated model combining AHP and QFD has been delineated as a quality achievement tool in healthcare. A case study is performed on the healthcare services provided by government general hospital, Indore District, Madhya Pradesh, India and data has been analyzed to benchmark the proposed framework by computing the degree of relative importance for CDs through AHP and incorporating them in subsequent deployment matrices.

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