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A topic of utmost importance in civil engineering is finding optimal solutions throughout the life cycle of buildings and infrastructural objects, including their design, manufacturing, use, and maintenance. Operational research, management science, and optimization methods provide a consistent and applicable groundwork for engineering decision-making. These topics have received the interest of researchers and, after a rigorous peer-review process, eight papers have been published in this Special Issue. The articles in this Printed Edition demonstrate how solutions in civil engineering, which bring economic, social, and environmental benefits, are obtained through a variety of methodologies and tools. Usually, decision-makers need to take into account not just a single criterion, but several different criteria and, therefore, multi-criteria decision-making (MCDM) approaches have been suggested for application in five of the published papers; the rest of the papers apply other research methods. Most approaches suggested decision models under uncertainty, proposing hybrid MCDM methods in combination with fuzzy or rough set theory, as well as D-numbers. The application areas of the proposed MCDM techniques mainly cover production/manufacturing engineering, logistics and transportation, and construction engineering and management. We hope that a summary of the Special Issue as provided here will encourage a detailed analysis of the papers included in the Printed Edition.
railway wagon --- rough sets --- Additive Ratio Assessment (ARAS) --- neural network --- cost estimation --- boarding/deboarding strategies --- optimisation --- multi-criteria decision-making (MCDM) --- Step-Wise Weight Assessment Ratio Analysis (SWARA) --- ruled surface --- seat preference --- image processing --- risk management --- fuzzy sets --- supply chain --- Grasshopper --- experimental test --- parametric design --- rough Best–Worst Method (BWM) --- EDAS --- artificial neural networks --- 3D modelling --- civil engineering --- shovel machine --- interval-valued fuzzy Additive Ratio Assessment --- airplane turn time --- oil and gas well drilling projects --- MCDM --- roof shell --- consistent fuzzy preference relation (CFPR) --- DEMATEL --- tool-flank-wear monitoring --- analytical network process (ANP) --- logistics --- multi criteria decision making --- internal transport --- conceptual design --- hybrid MCDM --- structural analysis --- D number --- construction --- architecture --- multiple-criteria decision-making (MCDM) --- performance evaluation --- rough number --- construction project risk --- multi-attributive border approximation area comparison (MABAC) --- finite element method (FEM) --- manufacturing engineering --- transportation --- experimental testing --- hybrid model --- flexible manufacturing --- rough Simple Additive Weighting (SAW) --- D numbers --- multivariate regression
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This book focuses on fundamental and applied research on construction project management. It presents research papers and practice-oriented papers. The execution of construction projects is specific and particularly difficult because each implementation is a unique, complex, and dynamic process that consists of several or more subprocesses that are related to each other, in which various aspects of the investment process participate. Therefore, there is still a vital need to study, research, and conclude the engineering technology and management applied in construction projects. This book present unanimous research approach is a result of many years of studies, conducted by 35 well experienced authors. The common subject of research concerns the development of methods and tools for modeling multi-criteria processes in construction engineering.
Technology: general issues --- History of engineering & technology --- earned value method—EVM --- time variances --- cost variances --- schedule --- cadastre --- land surveyor --- construction surveying --- building layout --- polar coordinates --- stake-out methods --- total station --- construction reports --- construction contracts --- natural language processing --- machine learning --- simulation modeling --- bridge expansion and contraction installation (BECI) --- decision making (DM) --- technical condition assessment --- analytic hierarchy process (AHP) --- whale optimization algorithm --- Tent chaotic mapping --- Lévy flight --- resilience --- baseline schedule --- uncertainty --- taxonomy --- construction project --- PERT --- theory of constraint (TOC) --- drum-buffer-rope (DBR) --- construction schedule --- monitoring progress --- construction phase --- automated monitoring --- digital tools --- as-built --- as-planned --- efficiency --- risk --- randomization --- association analysis --- tabu search --- delay --- time schedules --- project risk --- construction project management --- Time-at-Risk (TaR) --- investment-construction process model --- Monte Carlo simulation --- decision-making process --- decision modelling in construction activities --- decisions in civil engineering --- liquid cooling system --- flow calibration --- differential pressure --- experimental method --- aircraft --- building information modelling (BIM) --- automatisation --- facilities design --- domestic plumbing and sanitation --- management --- project cost --- investment schedule --- risk mitigation --- randomness --- fuzziness --- health and safety control
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