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This book is about JIDOKA, a Japanese management technique coined by Toyota that consists of imbuing machines with human intelligence. The purpose of this compilation of research articles is to show industrial leaders innovative cases of digitization of value creation processes that have allowed them to improve their performance in a sustainable way. This book shows several applications of JIDOKA in the quest towards an integration of human and AI within Industry 4.0 Cyber Physical Manufacturing Systems. From the use of artificial intelligence to advanced mathematical models or quantum computing, all paths are valid to advance in the process of human–machine integration.

healthy operator 4.0 --- human–cyber–physical system --- industrial internet of things --- industry 4.0 --- smart workplaces --- EEG sensors --- manufacturing systems --- shopfloor management --- machine learning --- deep learning --- reference architecture model --- interoperability --- digital twin --- distributed ledger technology --- GDPR --- RAMI 4.0 --- LASFA --- quantum computing --- strategic organizational design --- Industry 4.0 --- complex networks --- cyber-physical systems --- lean management systems --- quantum strategic organizational design --- quantum circuits --- quantum simulation --- JIDOKA --- Operator 4.0 --- process variability --- integration explaining variability --- quantum approximate optimization algorithm --- value–stream networks --- optimization --- maintenance interval --- maintenance model --- semi-Markov process --- right-censored data --- finite horizon --- maintenance cost --- Cyber-Physical Systems --- Lean Manufacturing --- Directed Acyclic Graphs --- scikit-learn --- pipegraph --- machine learning models

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The vast majority of real-world problems can be expressed as an optimisation task by formulating an objective function, also known as cost or fitness function. The most logical methods to optimise such a function when (1) an analytical expression is not available, (2) mathematical hypotheses do not hold, and (3) the dimensionality of the problem or stringent real-time requirements make it infeasible to find an exact solution mathematically are from the field of Evolutionary Computation (EC) and Swarm Intelligence (SI). The latter are broad and still growing subjects in Computer Science in the study of metaheuristic approaches, i.e., those approaches which do not make any assumptions about the problem function, inspired from natural phenomena such as, in the first place, the evolution process and the collaborative behaviours of groups of animals and communities, respectively. This book contains recent advances in the EC and SI fields, covering most themes currently receiving a great deal of attention such as benchmarking and tunning of optimisation algorithms, their algorithm design process, and their application to solve challenging real-world problems to face large-scale domains.

dynamic stream clustering --- online clustering --- metaheuristics --- optimisation --- population based algorithms --- density based clustering --- k-means centroid --- concept drift --- concept evolution --- imbalanced data --- screening criteria --- DE-MPFSC algorithm --- Markov process --- entanglement degree --- data integration --- PSO --- robot --- manipulator --- analysis --- kinematic parameters --- identification --- approximate matching --- context-triggered piecewise hashing --- edit distance --- fuzzy hashing --- LZJD --- multi-thread programming --- sdhash --- signatures --- similarity detection --- ssdeep --- maximum k-coverage --- redundant representation --- normalization --- genetic algorithm --- hybrid algorithms --- memetic algorithms --- particle swarm --- multi-objective deterministic optimization, derivative-free --- global/local optimization --- simulation-based design optimization --- wireless sensor networks --- routing --- Swarm Intelligence --- Particle Swarm Optimization --- Social Network Optimization --- compact optimization --- discrete optimization --- large-scale optimization --- one billion variables --- evolutionary algorithms --- estimation distribution algorithms --- algorithmic design --- metaheuristic optimisation --- evolutionary computation --- swarm intelligence --- memetic computing --- parameter tuning --- fitness trend --- Wilcoxon rank-sum --- Holm–Bonferroni --- benchmark suite --- data sampling --- feature selection --- instance weighting --- nature-inspired algorithms --- meta-heuristic algorithms

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This Book is a Printed Edition of the Special Issue which covers sustainability as an emerging requirement in the fields of construction management, project management and engineering. We invited authors to submit their theoretical or experimental research articles that address the challenges and opportunities for sustainable construction in all its facets, including technical topics and specific operational or procedural solutions, as well as strategic approaches aimed at the project, company or industry level. Central to developments are smart technologies and sophisticated decision-making mechanisms that augment sustainable outcomes. The Special Issue was received with great interest by the research community and attracted a high number of submissions. The selection process sought to balance the inclusion of a broad representative spread of topics against research quality, with editors and reviewers settling on thirty-three articles for publication. The Editors invite all participating researchers and those interested in sustainable construction engineering and management to read the summary of the Special Issue and of course to access the full-text articles provided in the Book for deeper analyses.

building information modeling --- project owner --- attitude --- behavior --- technology acceptance model --- BIM --- information model --- bridge --- maintenance --- management system --- Public–private partnership (PPP) --- risk identification --- risk relationship --- triangular fuzzy number --- ISM --- MICMAC --- data collection system --- worker’s smartphone --- concrete temperature monitoring --- high-rise building construction --- sustainable roles --- LEED --- contractors --- Vietnam --- bridge deterioration --- prediction model --- semi-Markov process --- Weibull-distribution --- condition rating --- sustainable construction project management (SCPM) --- sustainable performance evaluation --- set pair analysis --- informatization --- greenization --- Guangzhou metro --- China --- time management --- delay management --- mitigation strategy --- owner perspective --- contractor perspective --- power construction project --- Tanzania --- knowledge transfer --- safety behavior --- safety management --- construction site --- structural equation modeling (SEM) --- building information modeling (BIM) --- building performance assessment (BPA) --- key performance indicators (KPIs) --- facility management (FM) --- operation and maintenance (O&amp --- M) --- operating room (OR) --- defects liability period --- risk matrix --- residential buildings --- loss distribution approach --- decision tree --- analytic hierarchy process --- dynamic programming --- sustainable investment --- project participants’ behaviour --- roof installation projects --- modular construction --- rework --- integrated design process --- dependency structure matrix (DSM) --- process optimization --- sustainability --- green building --- delay sources --- risk management --- random forest-genetic algorithm --- computer aid --- construction project --- bridge construction --- risk analysis --- loss assessment model --- third-party damage --- insurance --- sensitivity analysis --- uncertainty modelling --- load action --- resistance --- limit states --- stochastic simulation --- failure probability --- structural reliability --- correlations --- linguistic action indicators --- last planner system --- linguistic action perspective --- resource-dependent activity relationship --- scheduling --- scheduling software --- Microsoft Excel Visual Basic for Applications (MS Excel VBA) --- rework causes --- SWARA method --- time --- project success --- building projects --- sustainable construction --- value management --- exploratory factor analysis --- construction management --- green building materials (GBMs) --- building industry --- Sustainable Development Goals (SDGs) --- construction industry --- MCDM --- COPRAS method --- real case study --- enterprise competitiveness --- organizational flexibility --- organizational innovation --- modernization of construction industry --- structural equation modeling --- natural language processing --- construction data management --- machine learning --- thermal insulation --- multi criteria analysis --- SALSA --- buildings --- Renovation Wave --- sustainable highway construction --- sustainability indicators --- triangular intuitionistic fuzzy --- multi-criteria decision-making --- entropy measure --- risk attitudes --- organizational learning --- fly ash --- geopolymer --- environment --- sustainable --- construction --- public private partnership --- critical success factors --- fuzzy synthetic evaluation --- project governance --- maintenance, repair, and rehabilitation (MR&amp --- R) --- inspection --- optimization --- infrastructure --- decision making --- life cycle assessment --- materials --- greenhouse --- digital transformation --- digital technology --- strategy --- change management --- project assessment --- sustainability criteria --- construction projects --- decision robustness --- risk process --- project management --- IDEF0 --- risk system implementation --- design --- smart technologies --- decision-making methods