TY - BOOK ID - 137158845 TI - Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems AU - Modrak, Vladimir AU - Soltysova, Zuzana PY - 2022 PB - Basel MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - flexible job-shop scheduling problem KW - combinatorial optimization KW - genetic algorithm KW - candidate order-based genetic algorithm KW - multichromosome KW - facility layout KW - optimization KW - metaheuristic algorithm KW - cell formation KW - design of experiments KW - digital platforms KW - decision-making KW - insurance KW - Baltic KW - customization KW - personalization KW - assembly line balancing KW - group technology KW - cluster algorithm KW - bottleneck station KW - output rate KW - tolerance allocation KW - machine and process selection KW - heuristic approach KW - univariate search method KW - whale optimization algorithm KW - selective assembly KW - overrunning clutch assembly KW - harmony search algorithm KW - Hastelloy X KW - turning KW - cutting force KW - surface roughness KW - liquid nitrogen KW - grass-hooper optimization algorithm KW - moth-flame optimization algorithm KW - hybrid bat algorithm KW - optimization problem KW - the distributed assembly permutation flowshop scheduling problem KW - variable neighborhood descent KW - multi-criteria assessment KW - cell manufacturing design KW - operational complexity KW - makespan KW - production line balancing rate KW - electrochemical machining (ECM) KW - material removal rate (MRR) KW - nickel presence (NP) KW - grey wolf optimizer (GWO) KW - moth-flame optimization algorithm (MFO) KW - Monel 400 alloys KW - n/a UR - https://www.unicat.be/uniCat?func=search&query=sysid:137158845 AB - This book, as a Special Issue, is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems. The smart manufacturing concept is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy, or equivalent national policies, and brings new challenges and opportunities for the companies that are facing tough global competition. Industry 4.0 should not only be perceived as one of many possible strategies for manufacturing companies, but also as an important practice within organizations. The main focus of Industry 4.0 implementation is to combine production, information technology, and the internet. The presented Special Issue consists of ten research papers presenting the latest works in the field. The papers include various topics, which can be divided into three categories—(i) designing and scheduling manufacturing systems (seven articles), (ii) machining process optimization (two articles), (iii) digital insurance platforms (one article). Most of the mentioned research problems are solved in these articles by using genetic algorithms, the harmony search algorithm, the hybrid bat algorithm, the combined whale optimization algorithm, and other optimization and decision-making methods. The above-mentioned groups of articles are briefly described in this order in this book. ER -