In practice, stock market behavior is difficult to predict accurately because of its high
volatility. To improve market forecasts, a method inspired by Elman neural network and …

The problem of network design of blood supply chains is traditionally studied considering a
maximum of three objective functions. In the real world, however, there are always many …

Using a multi-criteria decision-making (MCDM) method combined with a Taguchi ($ L_ {16}
$) design of experiment, the wear parameter for CrN/TiAlSiN coated hardened DAC-10 tool …

In order to handle incomplete, ambiguous, and inconsistent data, the concept of a
neutrosophic set (NS) has gained immense popularity. Due to its independent …

The presented study proposes a novel bi-objective mixed integer linear programming (MILP)
framework for the multi-mode resource-constrained project scheduling problem (MRCPSP) …

Fluctuations of input parameters, such as demand, supply, transportation, and production,
could result in uncertainty in the efficiency and responsiveness of supply chains. On the …

This paper addresses the economic lot and delivery scheduling problem (ELDSP) within
three-echelon supply chains, focusing on the complexities of demand uncertainty, limited …

Distributed generators (DGs) which may be both renewable energy sources (RES) or
conventional fossil fueled generators must be optimally scheduled so as to reduce the …

Design and optimization of logistics and supply chain management (SCM) network is a very
important issue, which plans, implements and controls the efficient, effective forward and …

With the continuous progress of society, tests, and exams appear more and more frequently
in people's lives. Faced with the ever-increasing demand for test papers, efficient test paper …