Risks arising from the effect of disruptions and unsustainable practices constantly push the
supply chain to uncompetitive positions. A smart production planning and control process …

Job shop scheduling problem is a well-known NP problem. It is limited by various conditions.
As the scale of the problem increases, the difficulty of finding the optimal solution will …

Recent practices in textile supply chains (SC) show a growing concern for sustainability not
only in its economic dimension, but fundamentally in its environmental and social ones. One …

A master production schedule (MPS) need find a good, perhaps optimal, plan for maximize
service levels while minimizing inventory and resource usage. However, these are …

The complexity in stock index futures markets, influenced by the intricate interplay of human
behavior, is characterized as nonlinearity and dynamism, contributing to significant …

In a competitive environment, an industry's success is directly related to the level of
optimization of its processes, how production is planned and developed. In this area, the …

Recently, many novel paradigms, concepts and technologies, which lay the foundation for
the new revolution in manufacturing environments, have emerged and make it faster to …

In order to accurately predict the financial time series and stock price fluctuation, in this
study, metadata was used to ensure the objectivity of data for most of the swarm intelligence …

This paper aims to predict the financial time series. Swarm intelligence algorithms usually
use metadata to ensure objectivity without the statistical assumptions of the data. This paper …

Abstract Making a Master Production Schedule (MPS) is a very important activity for a
manufacturing industry. This is due to the fact that MPS serves as an input for material and …