Özel Hastaneler İçin Toplam Kalite Yönetimi Uygulamalarında Kritik Başarı Faktörlerinin Bulanık FUCOM Yöntemi ile Değerlendirilmesi

Toplam Kalite Yönetimi, ürün ve hizmet üretiminde, müşteri beklentilerinin en iyi şekilde karşılanması için bir işletmenin tüm bileşenlerinin kalite hedefleri doğrultusunda çalışmalarına vurgu yapan önemli bir yaklaşımdır. Bu çerçevede işletmeler, kalite ile ilgili çalışmalarında Toplam Kalite Yönetimi ilkelerini etkin şekilde uygulamaları gerekmektedir. İnsanların, hizmet sektöründen beklentilerine paralel olarak, mamul üretiminde olduğu kadar birçok hizmet işletmesinde de önem kazanan Toplam Kalite Yönetimi, sağlık hizmeti sunan özel hastaneler için de önem arz etmektedir. Bu çalışma kapsamında, özel hastanelerin Toplam Kalite Yönetimi’ne yönelik kritik başarı faktörlerinin ve bu faktörlerin önem derecelerinin belirlenmesi amaçlanmaktadır. Yapılan literatür taraması ve uzman görüşleri dikkate alınarak, kritik başarı faktörleri listesi hazırlanmıştır. Daha sonra sekiz karar verici uzmanın değerlendirmeleri ışığında, Bulanık FUCOM (Full Consistency Method) kullanılarak, bu faktörlerin önem dereceleri belirlenmiştir. Yapılan uygulama sonucunda, özel hastanelerde TKY uygulamalarının başarısını etkileyen en önemli boyutun “müşteriler ve hizmet süreçlerine yönelik faktörler (0,452)” olduğu, sonraki önemli boyutun “çalışanlara yönelik faktörler (0,319)” olduğu, son olarak da “sistem ve tekniklerle ilgili faktörler (0,229)”in geldiği tespit edilmiştir. Özel hastanelerde, hasta ve hasta yakınları ile işletme içerisinde sağlık çalışanlarının beklentilerinin karşılanmasına odaklanma şeklinde tanımlanan “müşteri odaklılık (0,222)” yaklaşımının en önemli alt kriter olduğu belirlenmiştir

FUCOM-MOORA and FUCOM-MOOSRA: new MCDM-based knowledge-driven procedures for mineral potential mapping in greenfields

AbstractIn this study, we present the application of two novel hybrid multiple-criteria decision-making (MCDM) techniques in the mineral potential mapping (MPM), namely FUCOM-MOORA and FUCOM-MOOSRA, as robust computational frameworks for MPM. These were applied to a set of exploration targeting criteria of skarn. The multi-objective optimization method on the basis of ratio analysis (MOORA) and the multi-objective optimization on the basis of simple ratio analysis (MOOSRA) approaches are used to prioritize and rank individual cells. What makes MOORA and MOOSRA more reliable compared to many other methods is the fact that the optimizations procedure is applied to calculate the prospectivity score of individual unit cells. This reduces the uncertainty stemming from erroneous mathematical calculations. The full consistency method (FUCOM), on the other hand, is useful for assigning weights to the spatial proxies. The FUCOM method, as a pairwise comparison method, reduces a large number of pairwise comparisons of similar and popular approaches such as analytic hierarchy process (AHP) with $$n\left( {n - 1} \right)/2$$ n n - 1 / 2 and the best–worst method (BWM) with $$2n - 3$$ 2 n - 3 number of pairwise comparisons with $$n - 1$$ n - 1 which leads to a less time-consuming and more consistent performance compared with AHP and BWM. These were applied to a set of exploration targeting criteria of skarn iron deposits from Central Iran. Two potential maps were retrieved from the procedures applied, the comparison of which using correct classification rates and field checks revealed the superiority of FUCOM-MOOSRA over the FUCOM-MOORA

A novel fuzzy MCDM model for inventory management in order to increase business efficiency

Appropriate implementation and organization of logistics activities greatly contributes to the creation of a better business environment in companies. This is reflected in increased business efficiency, cost rationalization, increased productivity and better overall quality. In order for a company to achieve sustainability of its business and its competitiveness, the link between the marketing logistics system and other logistics subsystems is particularly evident. Thereby, it is necessary to lead proactive management with a focus on key resources. In this paper, two novel integrated models in fuzzy form have been created. The first model includes the integration of the fuzzy Full Consistency Method (fuzzy FUCOM) and the fuzzy Evaluation based on Distance from Average Solution (EDAS) method for sorting 78 products regarding the following four criteria: quantity, unit price, annual procurement costs and demand. The second model involves the integration of the fuzzy FUCOM method and ABC analysis for the purpose of inventory sorting considering different significance of criteria. A range of values has been formed for each  product category within the fuzzy FUCOM and fuzzy EDAS models, on the basis of which their sorting has been performed. The advantages and verification of the developed integrated fuzzy models have been performed through comparison with former traditional approaches. It has been determined based on an extensive sensitivity analysis that the developed models have better performance compared to the existing ones. First published online 09 March 202

D NUMBERS – FUCOM – FUZZY RAFSI MODEL FOR SELECTING THE GROUP OF CONSTRUCTION MACHINES FOR ENABLING MOBILITY

The paper presents a hybrid model for decision-making support based on D numbers, the FUCOM method and fuzzified RAFSI method, used for solving the selection of the group of construction machines for enabling mobility. By applying D numbers, the input parameters for the calculation of the weight coefficients of the criteria were provided. The calculation of the weight coefficients of the criteria was performed using the FUCOM method. The best alternative was selected using the fuzzified method, which was conditioned by the specificity of the issue so that in this case, the selection of the best alternative was made using the fuzzified RAFSI method

RISK PRIORITY EVALUATION OF POWER TRANSFORMER PARTS BASED ON HYBRID FMEA FRAMEWORK UNDER HESITANT FUZZY ENVIRONMENT

The power transformer is one of the most critical facilities in the power system, and its running status directly impacts the power system's security. It is essential to research the risk priority evaluation of the power transformer parts. Failure mode and effects analysis (FMEA) is a methodology for analyzing the potential failure modes (FMs) within a system in various industrial devices. This study puts forward a hybrid FMEA framework integrating novel hesitant fuzzy aggregation tools and CRITIC (Criteria Importance Through Inter-criteria Correlation) method. In this framework, the hesitant fuzzy sets (HFSs) are used to depict the uncertainty in risk evaluation. Then, an improved HFWA (hesitant fuzzy weighted averaging) operator is adopted to fuse risk evaluation for FMEA experts. This aggregation manner can consider different lengths of HFSs and the support degrees among the FMEA experts. Next, the novel HFWGA (hesitant fuzzy weighted geometric averaging) operator with CRITIC weights is developed to determine the risk priority of each FM. This method can satisfy the multiplicative characteristic of the RPN (risk priority number) method of the conventional FMEA model and reflect the correlations between risk indicators. Finally, a real example of the risk priority evaluation of power transformer parts is given to show the applicability and feasibility of the proposed hybrid FMEA framework. Comparison and sensitivity studies are also offered to verify the effectiveness of the improved risk assessment approach