Full Description
Operations Research (OR) is a fast-evolving field, which is having a significant impact on its neighbouring disciplines of Business Analytics and Data Science, and on contemporary business and management practices. This handbook provides a comprehensive and cutting edge collection of studies in the area.
Views differ on what should be included within the scope of OR. The editors of this volume have taken the view that an inclusive stance is the most helpful, both for theory and practice. Real-world problems often require consideration from both 'softer' and 'harder' perspectives and need consideration of both predictive and prescriptive problems. In accordance with this inclusive approach to OR, the book is divided into six parts, covering Discrete Optimization, Continuous Optimization, Heuristic Search Optimization, Forecasting, Simulation and Prediction, Problem Structuring and Behavioural OR, and finally some recent OR Applications.
This wide-ranging handbook includes a culturally diverse collection of authors, with different perspectives and backgrounds around Operations Research. It will be of tremendous value to researchers, students and practitioners in the field of OR
Contents
Part I:- Discrete (Combinatorial) Optimisation.- Chapter 1:-Bilevel Discrete Optimisation: Computational Complexity and Applications.- Chapter 2:-Discrete Location Problems with Uncertainty.- Chapter 3:-Integrated vehicle routing problems: A survey.- Chapter 4:- The knapsack problem and its variants: Formulations and solution methods.- Chapter 5:- Rank aggregation: models and algorithms.- Part II:-Continuous (Global) Optimisation.- Chapter 7:- Competitive Facilities Location.- Chapter 8:- Interval tools in branch-and-bound methods for global optimization.- Chapter 9:-Continuous Facility Location Problems.- Chapter 10:-Data Envelopment Analysis: Recent developments and challenges.- Part III:- Heuristic Search Optimisation.- Chapter 11:- An Overview of Heuristics and Metaheuristics.- Chapter 12:- Formulation space search metaheuristic.- Chapter 13:- Sine Cosine Algorithm: Introduction and Advances.- Chapter 14:-Less is more approach in heuristic optimization.- Chapter 15:- The New Eraof Hybridisation and Learning in Heuristic Search Design.- Part IV:- Forecasting, Simulation and Prediction.- Chapter 16:-Forecasting with Judgment.- Chapter 1:- Input Uncertainty in Stochastic Simulation.- Chapter 18:-Fuzzy multi-attribute decision-making: Theory, methods and Applications.- Chapter 19:- Importance measures in reliability engineering: an introductory overview.- Chapter 20:- Queues with variable service speeds: Exact results and scaling limits.- Chapter 21:-Forecasting and its Beneficiaries.- Part V:-Problem Structuring and Behavioural.- Chapter 22:- Behavioural OR: Recent developments and future perspectives.- Chapter 23:- Problem structuring methods: Taking stock and looking ahead.- Chapter 24:- Are PSMs relevant in a digital age? Towards an ethical dimensionPart VI Recent OR Applications.- Chapter 25:- Recent Advances in Big Data Analytics.- Chapter 26:- OR/MS Models for the Humanitarian-Business Partnership.- Chapter 27:- Drones and delivery robots: Models and applications to last mile delivery.- Chapter 28:- Evaluating the Quality of Radiation Therapy Treatment Plans Using Data Envelopment Analyis.
