Ara
Toplam kayıt 9, listelenen: 1-9
A combined goal programming - AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants
(Pergamon-Elsevier Science Ltd, 2017)
Sustainable energy supply defined as uninterrupted, reliable, efficient, economic and environmentally friendly electricity generation is the main goal of power plants. Carrying out the proper maintenance processes has ...
Maximum completion time under a learning effect in the permutation flowshop scheduling problem
(Univ Cincinnati Industrial Engineering, 2018)
The permutation flowshop scheduling problem under a position-based learning effect is addressed in this study. Minimization of the maximum completion time (make span) is considered for the identified problem. The mathematical ...
The single machine scheduling problem with sequence-dependent setup times and a learning effect on processing times
(Elsevier Science Bv, 2018)
For the past few years, learning effect has been receiving wide attention in the scheduling problems. There are many studies that take into account the learning effect with several structural constraints and some specific ...
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 bicriteria m-machine flowshop scheduling with sequence-dependent setup times
(Elsevier Science Inc, 2010)
In this study, a bicriteria m-machine flowshop scheduling with sequence-dependent setup times is considered. The objective function of the problem is minimization of the weighted sum of total completion time and makespan. ...
The tricriteria flowshop scheduling problem
(Springer London Ltd, 2008)
Multicriteria flowshop scheduling problems have been one of the most attractive subjects in recent years. In the multicriteria flowshop scheduling literature, a very limited number of studies have been performed on problems ...
A bicriteria flowshop scheduling with a learning effect
(Elsevier Science Inc, 2008)
In many situations, a worker's ability improves as a result of repeating the same or similar tasks; this phenomenon is known as the learning effect. In this paper the learning effect is considered in a two-machine flowshop. ...