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Toplam kayıt 11, listelenen: 1-10
Multi-issue negotiation in quality function deployment: Modified Even-Swaps in new product development
(Elsevier, 2016)
Quality function deployment (QFD) is one of the most powerful methodologies in new product development (NPD) because of its systematic support of knowledge creation and sharing. However, greater product complexity, increasing ...
Novel hybrid pair recommendations based on a large-scale comparative study of concept drift detection
(Elsevier Science, 2021)
During the classification of streaming data, changes in the underlying distribution make formerly learned models insecure and imprecise, which is known as the concept drift phenomenon. Online learning derives information ...
New product design for military aviation maintenance activities through quality function deployment (QFD)
(Gazi Universitesi Muhendislik-Mimarlik, 2019)
In this study, an existing equipment which was already developed by using theory of inventive problem solving (TRIZ) for use in the maintenance operations of the F-16 fighter aircraft, is redesigned through Quality Function ...
Assessment of corporate innovation capability with a data-mining approach: industrial case studies
(Elsevier, 2016)
The interest in assessment of innovation capability of manufacturing systems is fueled by the growing competition. At this time, there is no generally accepted model to evaluate innovation capability of manufacturing ...
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 ...
Investigation of breaking points in the airline industry with airline optimization studies through text mining before the covid-19 pandemic
(SAGE Publications, 2021)
In this study, current literature in the field of airline optimization has been examined by the text mining method to understand trends and commercial threats in the airline industry. Prominent types of work and popular ...
A hybrid heuristic solution based on simulated annealing algorithm for energy efficient single machine scheduling problem with sequence dependent setup times
(Gazi Üniversitesi, 2021)
Increased carbon dioxide emissions and energy consumption increase interest in energy efficient scheduling problems. In this study, speed scaling method is discussed in order to provide energy saving in multiobjective ...
Predicting Patent Quality Based on Machine Learning Approach
(Institute of Electrical and Electronics Engineers Inc., 2022)
The investment budget allocated by companies in R&D activities has increased due to increased competition in the market. Applications for industrial property rights by countries, investors, companies, and universities to ...
Distributed Flow Shop Scheduling Problem With Learning Effect, Setups, Non-Identical Factories, and Eligibility Constraints
(University of Cincinnati, 2022)
In the flow shop scheduling, the route of each job is the same, and the order of the jobs on the machines is determined. In the distributed flow shop scheduling (DFSS) problem, on the other hand, the assignment of jobs to ...
Decision making in the manufacturing environment using the technique of precise order preference
(Yildiz Technical University, 2023)
Wrong decisions in manufacturing systems can jeopardize the continuity of production and reduce productivity and efficiency. Therefore, it is essential to make the right decisions in solving the problems encountered in ...