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Ocean as a Generative Metaphor for Future Organizations
Metaphors are an analogical way of describing something that is less known in terms of something that is better known and understood. A process or...
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Analysis and optimization of hybrid replenishment policy in a double-sources queueing-inventory system with MAP arrivals
A hybrid replenishment policy in double sources queuing-inventory system with MAP flow of consumer customers is proposed. The service time of the...
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A deep reinforcement learning assisted simulated annealing algorithm for a maintenance planning problem
Maintenance planning aims to improve the reliability of assets, prevent the occurrence of asset failures, and reduce maintenance costs associated...
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Automatic MILP solver configuration by learning problem similarities
A large number of real-world optimization problems can be formulated as Mixed Integer Linear Programs (MILP). MILP solvers expose numerous...
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Local Search
Improvement methods constitute the backbone of most metaheuristics. These methods repeatedly perform slight, local modifications on a current...
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An integrated rolling horizon approach to increase operating theatre efficiency
Demand for healthcare is increasing rapidly. To meet demand, we must improve the efficiency of our public health services. We present a mixed integer...
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A Benders decomposition algorithm for the multi-mode resource-constrained multi-project scheduling problem with uncertainty
In this research, we focus on the multi-mode resource-constrained multi-project scheduling problem from the perspective of consultants who attend...
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Entrepreneurship, Behavioral Biases, and Ethics: Are They Instrumental for Overcoming Crises?
It is widely recognized that human behavior is far from being perfectly rational. Many insights from psychology, sociology, and even biology show...
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Leveraging the Human Factor through Holarchy: A Case Study
In the face of the emergent age of automation powered by artificial intelligence, organisations will be hard pressed to reconsider their often...
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Improved multiobjective differential evolution with spherical pruning algorithm for optimizing 3D printing technology parametrization process
Multiobjective optimization approaches have allowed the improvement of technical features in industrial processes, focusing on more accurate...
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An evaluation of three DoE-guided meta-heuristic-based solution methods for a three-echelon sustainable distribution network
This article evaluates the efficiency of three meta-heuristic optimiser (viz. MOGA-II, MOPSO and NSGA-II)-based solution methods for designing a...
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A hierarchical ensemble causal structure learning approach for wafer manufacturing
In manufacturing, causal relations between components have become crucial to automate assembly lines. Identifying these relations permits error...
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A Fast Threshold Acceptance Algorithm for the Examination Timetabling Problem
In this chapter, an accelerated variant of the threshold acceptance (TA) metaheuristic, named FastTA, is proposed for solving the examination...
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Artificial Intelligence in travel
Over the past four decades Operations Research (OR) has played a key role in solving complex problems in airline planning and operations. Over the...
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Reinforcement learning-based rate adaptation in dynamic video streaming
Video streaming stands out as the most significant traffic type consumed by mobile devices. This increased demand has been a major driver for...
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A sustainable-resilience healthcare network for handling COVID-19 pandemic
In this paper, a new production, allocation, location, inventory holding, distribution, and flow problems for a new sustainable-resilient health care...
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Creating the Capacity for Strategic Leadership
Spyridonidis offers a much needed analysis of the topic of strategic leadership in contemporary organisations. This chapter, in particular, draws...
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Attention-Based LSTM Network for Rumor Veracity Estimation of Tweets
Twitter has become a fertile place for rumors, as information can spread to a large number of people immediately. Rumors can mislead public opinion,...
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A hybrid evolutionary algorithm for the offline Bin Packing Problem
In this paper we present an evolutionary heuristic for the offline one-dimensional Bin Packing Problem. In this problem we have to pack a set of...
