Reprint

Operational Research Tools for Solving Sustainable Engineering Problems

Edited by
February 2022
562 pages
  • ISBN978-3-0365-1796-4 (Hardback)
  • ISBN978-3-0365-1795-7 (PDF)

This is a Reprint of the Special Issue Operational Research Tools for Solving Sustainable Engineering Problems that was published in

Business & Economics
Environmental & Earth Sciences
Social Sciences, Arts & Humanities
Summary

The need for operational research (OR) tools and techniques is manifested in its ability to balance conflicting objectives (goals or interests) where there are many alternative courses of action available to the decision-maker when resources, time, and funds are limited. Therefore, beyond the domain of theoretical knowledge and model-building activities, OR has all of the pervasive applications in decision making regarding problems in sustainable engineering, sustainable society, and business. OR tools and techniques find applications in all aspects of sustainability operations, such as sustainable supply chain planning, sustainable distribution, sustainable traffic flow optimization, industrial waste reduction, energy conservation, sustainable city planning, etc. Over the years, the applications of OR have been extended to solving the problems of communication of information and socio-economic fields. In this context, the academic community needs to take the lead in the design, development, and demonstration of sustainable operational research models, endowed and supported by organizations.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
facility location; r-interdiction median problem with fortification (RIMF); cyclic dynamic equilibrium game; mixed-integer linear programming (MILP); cold recycling; indirect tensile strength; sustainable binder materials; supercomputers; Fuzzy PIPRECIA; Danube region countries; high-performance computing (HPC); vehicle procurement; MCDM; fleet energy efficiency; transport costs; maintenance costs; alternative fuel vehicles; business process orientation (BPO); business process management (BPM); FUCOM; fuzzy PIPRECIA; apparel industry; SMEs; dry port; location; sustainability; MCDM; grey; Delphi; AHP; CODAS; COVID-19; multi-criteria; level-based weight assessment; fuzzy sets; sustainability; state administration; motivation (psychology); sustainability; politics; organizational performance; motivation factors; hierarchy; China’s Basic Pension System (CBPS); Markov model; ending one-child policy; raising retirement age; spa-centers; Bosnia and Herzegovina; sustainable tourism; FUCOM method; fuzzy MARCOS method; urban roundabout; speed; sustainable management; geometrical characteristics; sustainable traffic; level crossing; fuzzy FUCOM method; fuzzy MARCOS method; criteria; maintenance; sustainability; SEM; F-DEMATEL; sustainable warehouse management; workforce; optimization; scheduling; activities; warehouse; hesitant fuzzy sets; discrimination measure; multi-criteria decision-making; combined compromise solution; sustainable development; indicators; multi-criteria decision making; analytic hierarchy process; PriEsT; sustainable logistics scheduling; closed loop supply chain; cross-docking; tabu search; simulated annealing; equipment purchase decision; analytic hierarchy process; Taguchi loss function; fuzzy linear programming; multi-choice goal programming; logistics platform; facility location selection; composite indicators; multi-criteria decision-making; F-FUCOM; F-PROMETHEE; F-MAIRCA; sustainability; reverse wood value chain; scheduling; waste-wood processing; China’s Employees Basic Pension System; dynamic stochastic model; the fund gap; fiscal risk; longevity risk; quality; reverse logistics; sustainability; SERVQUAL model; waste management; Signum test; FUCOM; interpretive structural modeling (ISM); MICMAC (Matrice d’Impacts Croisés Multiplication Appliquée á un Classement (cross-impact matrix multiplication applied to classification)); Microsoft Excel; SmartISM; VBA (Visual Basic for Applications); reduced conical matrix; smartphone waste; collection center; extended maximal covering location problem; transportation route; mathematical model; tabu search; water quality; dissolved oxygen; neural network; machine learning; artificial intelligence; deep learning; big data; data science; hydrological model; water treatment

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