This study intends to help manufacturers that use flexible job shops improve performance of due date assignment, that is, setting delivery times to jobs that arrive dynamically. High performing due date assignment enables achieving on-time delivery and quick response of delivery time to customer orders. Traditional methods for due date assignment are predefined equations that estimate the durat...

The primary aim of this paper is to provide background information, motivation for applications and an exposition to the methodologies employed in the development of fuzzy logic based decision making in hydro or water power engineering by optimum selection of hydro turbine blade material. All the works on the application of multi criteria decision analysis (MCDA) or fuzzy logic to material scie...

Date grading is an important process for producers and affects the fruit quality evaluation and export market. However, the high costs, low speed and variation associated with manual sorting have been forcing the post harvest industry to apply mechanization and automation in sorting operations. As a step toward mechanized grading, in this research Mamdani fuzzy inference system was applied as a...

Received (received date) Revised (revised date) Reinforcement learning is one of the more attractive machine learning technologies, due to its unsupervised learning structure and ability to continually learn even as the operating environment changes. Additionally, by applying reinforcement learning to multiple cooperative software agents (a multi-agent system) not only allows each individual ag...

Leakage of oil from pipelines and oil tankers into seas and oceans is ecologically important and can have significant social and economic impacts on the environment. An early detection of deliberate or accidental oil spills can reduce serious hazards that may threaten coastal residents and help identify pollutants. Iran has been surrounded by seas from the north and the south and they provide u...

This work applies fuzzy sets to the integration of purchasing, manufacturing and assembling of production planning decisions with multiple suppliers, multiple components and multiple machines in remanufacturing systems. The developed fuzzy multi-objective linear programming model (FMOLP) simultaneously minimizes total costs, total $text{CO}_2$ emissions and total lead time with reference to cus...

In this work we consider a multiobjective open shop scheduling problem with uncertain processing times and flexible due dates, both modelled using fuzzy sets. We adopt a goal programming model based on lexicographic multiobjective optimisation of both makespan and due-date satisfaction and propose a particle swarm algorithm to solve the resulting problem. We present experimental results which s...