Industry 4.0‐Driven Development of Optimization Algorithms: A Systematic Overview

Abstract

The Fourth Industrial Revolution means the digital transformation of production systems. Cyber-physical systems allow for the horizontal and vertical integration of these production systems as well as the exploitation of the benefits via optimization tools. This article reviews the impact of Industry 4.0 solutions concerning optimization tasks and optimization algorithms, in addition to the identification of the new R&D directions driven by new application options. The basic organizing principle of this overview of the literature is to explore the requirements of optimization tasks, which are needed to perform horizontal and vertical integration. This systematic review presents content from 900 articles on Industry 4.0 and optimization as well as 388 articles on Industry 4.0 and scheduling. It is our hope that this work can serve as a starting point for researchers and developers in the field.

Development of an Intelligent Quality Management System for Micro Laser Welding: An Innovative Framework and Its Implementation Perspectives

“…To be successful in this regard, since operational planning, scheduling, and welding production tasks are interdependent, planning these activities should be solved in parallel and integrated. This is achieved by data flow to provide informative feedback to support real-time optimization [75].…”

Making Cities Smarter—Optimization Problems for the IoT Enabled Smart City Development: A Mapping of Applications, Objectives, Constraints

“…In this regard, this paper presents a coverage of combinatorial optimization in Internet of Things (IoT) based smart cities by deliberating on the most popular applications of optimization algorithms and providing an insight to how those problems are formulated and worked upon. Since optimization has been a topic of interest to researchers in general, there have several surveys which pertain to individual aspects of smart cities such as electricity distribution networks [4], emergency facility location [5] and optimization in the industry [6]. Vukobratović et al in [4] discuss the various optimization schemes used in distribution network management and scheduling, Wang et al [5] provide an overview of the emergency facility location problem.…”

“…They deliberate on the mathematical formulations and the extension of those problems. In [6], the authors provide a review of optimization algorithm development for industry 4.0, they provide a discussion of the problems present in the industry and also discuss mathematical formulations. Our work is different from the work in [4][5][6] in that we provide a mapped overview of the optimization landscape in the smart city domain while considering the IoT.…”

“…In [6], the authors provide a review of optimization algorithm development for industry 4.0, they provide a discussion of the problems present in the industry and also discuss mathematical formulations. Our work is different from the work in [4][5][6] in that we provide a mapped overview of the optimization landscape in the smart city domain while considering the IoT. Through this mapping, the common optimization problems across the various components of the IoT enabled smart city have been identified to assist researchers working on optimization schemes in the field.…”

The Applicability of Reinforcement Learning Methods in the Development of Industry 4.0 Applications

“…Next to the fundamental book [4], there are several overviews of reinforcement learning methods from theoretical point of view. A detailed semantic overview of Industry 4.0 frameworks [5] and a categorization of Industry 4.0 research fields are also described. An overview of key elements of Industry 4.0 researches and several application scenarios [6] highlighted the wide scope of smart manufacturing.…”