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Toplam kayıt 29, listelenen: 11-20
Hybrid Multicriteria Group Decision-Making Method for Offshore Location Selection Under Fuzzy Environment
(Springer Heidelberg, 2020)
Offshoring has been commonly adopted by organizations in developed countries, which relocate their business activities to low-cost countries to achieve cost-saving, improved flexibility, and greater effectiveness. Manufacturing ...
Monitoring patient dissatisfaction: a methodology based on SERVQUAL scale and statistical process control charts
(Taylor & Francis Online, 2020)
In this study, a methodology has been suggested to monitor patient dissatisfaction in
hospitals. The proposed methodology uses the service quality (SERVQUAL) scale
and statistical process control charts, namely standardised ...
Evaluation of excavator technologies: Application of data fusion based multimoora methods
(Taylor and Francis Ltd., 2015)
Excavators are quite expensive vehicles. therefore, there may be huge losses for decision makers if a wrong decision is made during the purchasing process. A good evaluation of excavator alternatives both reduces costs and ...
Predicting the innovation capability of investment projects using the BIFPET algorithm: A framework and case study
(Academic Publication Council, 2016)
This paper proposes a framework based on fuzzy probability for the prediction of innovation capability of an investment project. The prediction of innovation capability is a difficult task due to the fact that there exist ...
Optimization of dynamic ticket pricing parameters
(Palgrave Macmillan Ltd, 2019)
This paper proposes a joint pricing model that combines the advantages of variable and dynamic ticket pricing models, where optimal dynamic prices are calculated for sporting events based on game-, time-, and inventory-related ...
A Comparative Analysis of Dropout Prediction in Massive Open Online Courses
(Springer, 2021)
Massive open online courses (MOOCs) provide a valuable learning platform for global learners. They are extensively utilized by an increasing number of people from all over the world due to their remarkable features, including ...
An NSGA-II-Based Memetic Algorithm for an Energy-Efficient Unrelated Parallel Machine Scheduling Problem with Machine-Sequence Dependent Setup Times and Learning Effect
(Springer, 2021)
In this study, an energy-efficient unrelated parallel machine scheduling problem is discussed. The speed scaling mechanism has been taken into account as an energy-efficient strategy. Unrelated parallel machine scheduling ...
Location selection by multi-criteria decision-making methods based on objective and subjective weightings
(Springer, 2021)
The location selection is a strategic decision that significantly influences revenue, level of competition, and success of companies and countries. This study aims to propose a hybrid approach for the location selection, ...