Rank and select operations on a word

2021 ◽  
pp. 106148
Author(s):  
Meng Zhang ◽  
Yi Zhang
Keyword(s):  
Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hamed Fazlollahtabar ◽  
Navid Kazemitash

Purpose However, due to the huge number of studies and on the other hand to be new and creative, the represented models and methods – as the two main parts of this field – have been got more complicated, which consequently have been turned into unpractical research studies for the realistic situations. Therefore, the purpose of this study is the representation of a novel and simple method to deal with the aforementioned gap. Design/methodology/approach To this end, Fazl-Tash method have been proposed, in which a thorough and complete model including 114 criteria and a simple technique to rank and select the best supplier have been presented. Sustainability and resiliency are considered in collecting criteria effective on supplier selection. Findings The method was carried out in a case study in an industrial company. The efficiency of the proposed method is evaluated in comparison with other conventional approaches. Originality/value As selecting the supplier plays a crucial role to bring some important advantages for companies, such as coping with the cost and time problems and influencing the majority of contemporary markets’ requirements, in recent years, there have been representing more effective studies in the supplier selection literature.


Author(s):  
Djamal Belazzougui ◽  
Patrick Hagge Cording ◽  
Simon J. Puglisi ◽  
Yasuo Tabei
Keyword(s):  

2018 ◽  
Vol 10 (10) ◽  
pp. 3779 ◽  
Author(s):  
Maimouna Diouf ◽  
Choonjong Kwak

Supplier management is critical for supply chain management (SCM). The aim of supplier selection is to find an order of preference among potential suppliers. However, the ranking results for supplier selection may not be important, particularly when the performances are conflicting or have minor differences. Different criteria may have different impacts on the ranking results, and different decision makers may place different priorities on multiple criteria. Relatively worse suppliers may still have to be used for many practical reasons. One alternative is supplier development, but it has been focused on categorizing individual suppliers for possible action plans. A new framework is proposed in this research to address supplier selection and supplier development at the same time in the publishing and printing industries. First, the fuzzy analytical hierarchy process (fuzzy AHP) and data envelopment analysis (DEA) are sequentially performed to rank and select the best supplier(s) of a publishing company. In addition to ranking suppliers, a managerial analysis is proposed to assess the impact of important criteria on supplier selection in more detail. Finally, the results of the DEA are provided for direct supplier development without supplier categorization. This research shows that the proposed framework effectively addresses supplier development as well as supplier selection in the publishing and printing industries.


2013 ◽  
Vol 390 ◽  
pp. 155-160 ◽  
Author(s):  
Corrado lo Storto

This paper proposes a benchmarking model useful to rank and select aircraft used in the freight industry. The decision-making problem of aircraft ranking and selection is addressed by implementing an extension of Data Envelopment Analysis (DEA), i.e. the cross-efficiency calculation. DEA efficiency is a useful indicator to evaluate the value for money of an aircraft in the freight industry and its extension - the cross-efficiency measurement makes it possible to rank aircraft according to this value for money measurements. A sample of 22 air freighters is used to analyze the model validity. DEA scores show that 4 aircraft models only are evaluated as being full 100% efficient, and some old models (i.e., DC 9-10F) are as efficient as the recent aircraft models sold in the market (A300F and A330-200F).


2009 ◽  
Vol 236 ◽  
pp. 131-145 ◽  
Author(s):  
Antonio Fariña ◽  
Susana Ladra ◽  
Oscar Pedreira ◽  
Ángeles S. Places

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