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Toplam kayıt 20, listelenen: 11-20
EVALUATION OF THE POTENTIAL OF THE INTERNET OF THINGS IN HEALTH SERVICES WITH MULTI CRITERIA DECISION-MAKING METHODS
(YILDIZ TECHNICAL UNIV, 2020)
Background: With the technology developing all over the world, there is a transition period to the Industry 4.0 revolution in the field of health. The Internet of Things is one of the themes of Industry 4.0. Treatments ...
Collection of recyclable wastes within the scope of the Zero Waste project: heterogeneous multi-vehicle routing case in Kirikkale
(SPRINGER, 2020)
There is an increase in the amount of resource use due to the rise in population, urbanization, and industrialization. Also, the amount of waste increases due to an increase in consumption and resource use. Countries are ...
Sustainable personnel scheduling supported by an artificial neural network model in a natural gas combined cycle power plant
(WILEY, 2020)
Despite the impact of personnel scheduling on the sustainability of production processes, it is a rarely studied problem in the electricity generation sector, whose main purpose is sustainable energy generation. From this ...
Decision making for promising quinoline-based anticancer agents through combined methodology
(WILEY, 2020)
During the development of effective drugs for the treatment of cancer, one of the most important tasks is to identify effective drug candidates having maximum antiproliferation and minimum side effects. This paper considers ...
A note on minimizing maximum lateness in an m-machine scheduling problem with a learning effect
(Elsevier Science Inc, 2009)
Conventionally, job processing times are assumed to be constant from the first job to be processed until the last job to be completed. However, recent empirical studies in several industries have verified that unit costs ...
Human and Machine Effects in a Just-In-Time Scheduling Problem
(John Wiley & Sons Inc, 2009)
In this article, single-machine scheduling problems with learning effects of setup and removal times and deterioration effects of processing time are considered. The objective function of the problem is minimization of the ...
A bicriteria flowshop scheduling problem with setup times
(Elsevier Science Inc, 2006)
Most of research in production scheduling is concerned with the minimization of a single criterion. However, scheduling problems often involve more than one aspect and therefore require bicriteria analysis. In this study, ...
A bicriteria parallel machine scheduling with a learning effect
(Springer London Ltd, 2009)
Conventionally, job processing times are assumed to be constant from the first job to be processed until the last job to be completed. However, recent empirical studies in several industries have verified that unit costs ...
A bicriteria parallel machine scheduling with a learning effect of setup and removal times
(Elsevier Science Inc, 2009)
In studies oil scheduling problems, generally setup times and removal times of jobs have been neglected or by including those into processing times. However, in some production systems, setup times and removal times are ...
Minimizing the total weighted completion time on a single machine scheduling with release dates and a learning effect
(Elsevier Science Inc, 2009)
In this study, single machine scheduling problem with unequal release dates and a learning effect is considered. The objective function of the problem is minimization of the total weighted completion time. A non-linear ...