Hamed Bouzary

TL;DR: In this paper, the authors provide a comprehensive review and report on links between Lean tools and Industry 4.0 technologies, and how simultaneous implementation of these two paradigms affects the operational performance of factories.

TL;DR: The goal of this article is to provide a comprehensive highlight for researchers who are inspired to explore work in the related areas and acquaint them with related research work done to date on this NP-hard problem.

TL;DR: This study proposes a new hybrid approach based on the recently developed grey wolf optimizer (GWO) algorithm and evolutionary operators of the genetic algorithm that delivers superior performance compared with that of both existing discrete variations of GWO and genetic algorithm, especially in large-scale SCOS problems.

TL;DR: A novel integrated approach that first, successfully retrieves candidate sets for each corresponding subtask via implementing five classification algorithms and using TF-IDF vectors extracted from the manufacturing capability data, resulting in a more comprehensive and realistic way for dealing with the service composition problems.

TL;DR: The whole process of matching demands and resources in the context of CMfg, service aggregation and selection process is discussed in a detailed manner and a brief guideline for researchers aiming to do similar studies is provided to assist them towards a better understanding of related research work done to date.