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A horizontal collaborative approach for planning the wine grape harvesting
Horizontal collaboration is a strategy that has increasingly been used for improving supply chain operations. In this paper, we analyze the benefits...
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Deep learning and hyperparameter optimization for assessing one’s eligibility for a subcutaneous implantable cardioverter-defibrillator
It is standard cardiology practice for patients suffering from ventricular arrhythmias (the main cause of sudden cardiac death) belonging to high...
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A viable relief supply chain network design by considering risk and robustness for disaster and crisis management
The research proposes a new Viable Relief Supply Chain Network Design method incorporating Risk and Robustness (VRSCNDRR). Robust Stochastic...
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Finding robust periodic timetables by integrating delay management
This paper defines and solves a mathematical model for finding robust periodic timetables by proposing an extension of the Periodic Event Scheduling...
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A decision support model for robust allocation and routing of search and rescue resources after earthquake: a case study
The efficient planning of search and rescue (SAR) operations is highly impactful in the disaster response phase, which offers a limited time window...
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Towards autonomous learning and optimisation in textile production: data-driven simulation approach for optimiser validation
The textile industry is a traditional industry branch that remains highly relevant in Europe. The industry is under pressure to remain profitable in...
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Resource Leveling of an Artificial Lake Construction Project with a Risk-Aware Approach
This work examines risk factors that affect the duration of activities and the overall project timeline. Initially, statistical distributions are...
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Robust Surgery Scheduling: A Model-Based Overview
In this chapter we give a model-based overview of robust surgery scheduling literature. A robust schedule maintains to perform well in case of...
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Stochastic tramp ship routing with speed optimization: analyzing the impact of the Northern Sea Route on \(\mathrm {CO_2}\) emissions
To address the decarbonization challenge, we consider a tramp ship routing problem with speed optimization where the availability of future cargoes...
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Optimization models for patient and technician scheduling in hemodialysis centers
Patient and technician scheduling problem in hemodialysis centers presents a unique setting in healthcare operations as (1) unlike other healthcare...
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Multi-Period Hub Location with Time Series
This chapter discusses the application of distributionally robust optimization to an uncapacitated multi-period hub location. Uncertain periodic...
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Operating room scheduling with surgical team: a new approach with constraint programming and goal programming
In recent years, there has been a significant increase in health expenditures due to population growth. In this context, hospital administrators have...
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Practicable solution approaches for differentiated pricing of vehicle sharing systems
Vehicle sharing systems have become increasingly popular. However, one-way vehicle sharing system providers face a major challenge. The uneven...
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Multi agent reinforcement learning for online layout planning and scheduling in flexible assembly systems
Manufacturing systems are undergoing systematic change facing the trade-off between the customer's needs and the economic and ecological pressure....
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A machine learning approach towards reviewing the role of ‘Internet of Things’ in the ship** industry
The technology of the Internet of Things (IoT) represents a cornerstone of the fourth industrial revolution. We adopt a machine learning approach to...
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An Analytical Approach for Dispatch Operations of Emergency Medical Services: A Case Study of COVID-19
AbstractEmergency medical services (EMS) aims to deliver timely ambulatory care to incidents in communities. However, the operations of EMS may...
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A distributed approach to meteorological predictions: addressing data imbalance in precipitation prediction models through federated learning and GANs
The classification of weather data involves categorizing meteorological phenomena into classes, thereby facilitating nuanced analyses and precise...
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Designing an adaptive and deep learning based control framework for modular production systems
In today’s rapidly changing production landscape with increasingly complex manufacturing processes and shortening product life cycles, a company’s...
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A fix and optimize method based approximate dynamic programming approach for the strategic fleet sizing and delivery planning problem
Logistics related costs constitute a major part in total cost of a product in general. Considering a company that delivers goods to its customers...
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A stochastic bi-objective simulation–optimization model for cascade disaster location-allocation-distribution problems
Cascade disasters can destroy urban infrastructures, kill thousands of people, and permanently displace millions of people. The paramount goal of...
