Browsing Industrial Engineering by Title
Now showing items 93-112 of 217
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A game theoretical approach for improving the operational efficiencies of less-than-truckload carriers through load exchanges
(Springer, 2021-09)Less-than-truckload (LTL) transportation offers fast, flexible and relatively low-cost transportation services to shippers. In order to cope with the effects of economic recessions, the LTL industry implemented ideas such ... -
Genetic algorithms and heuristics hybridized for software architecture recovery
(Springer, 2023-06-26)Large scale software systems must be decomposed into modular units to reduce maintenance efforts. Software Architecture Recovery (SAR) approaches have been introduced to analyze dependencies among software modules and ... -
A gradient descent based heuristic for solving regression clustering problems
(SciTePress, 2020)Regression analysis is the method of quantifying the effects of a set of independent variables on a dependent variable. In regression clustering problems, the data points with similar regression estimates are grouped into ... -
Healthcare data analytics
(Springer International Publishing, 2015-11)New advances in Information and Communication Technologies (ICT), Operations Research (OR), Artificial Intelligence (AI), and Data Mining (DM) are transforming how healthcare is delivered and managed around the world. ... -
Healthcare intelligence: Turning data into knowledge
(IEEE, 2014)Exceptional opportunities exist for researchers and practitioners to invest in conducting innovative and transformative research in data mining and health informatics. This IEEE Intelligent Systems "Trends and Controversies" ... -
Healthcare inventory management in the presence of supply disruptions and a reliable secondary supplier
(Springer, 2023-12)We study the inventory review policy for a healthcare facility to minimize the impact of inevitable drug shortages. Usually, healthcare facilities do not rely on a single source of supply, and alternative mechanisms are ... -
Heuristics for the variable sized bin-packing problem
(Elsevier, 2009-10)We investigate the one-dimensional variable-sized bin-packing problem. This problem requires packing a set of items into a minimum-cost set of bins of unequal sizes and costs. Six optimization-based heuristics for this ... -
A hierarchical approach for solving simultaneous lot sizing and scheduling problem with secondary resources
(Elsevier, 2019)This study represents a decomposition heuristic approach for simultaneous lot sizing and scheduling problem for multiple product, multiple parallel machines with secondary resources. The motivation of the study comes from ... -
Hospital service levels during drug shortages: Stocking and transshipment policies for pharmaceutical inventory
(Springer, 2022-07)In this study, we consider a health network that faces uncertain supply disruptions in the form of regional, nationwide, or worldwide drug shortages. Each hospital observes stochastic demand and if the drug is unavailable, ... -
Hospital service levels during drug shortages: Stocking and transshipment policies for pharmaceutical inventory
(Springer, 2022-07)In this study, we consider a health network that faces uncertain supply disruptions in the form of regional, nationwide, or worldwide drug shortages. Each hospital observes stochastic demand and if the drug is unavailable, ... -
Humanitarian relief distribution problem: an adjustable robust optimization approach
(Informs, 2023-07)Management of humanitarian logistics operations is one of the most critical planning problems to be addressed immediately after a disaster. The response phase covers the first 12 hours after the disaster and is prone to ... -
Humanitarian relief supplies distribution: an application of inventory routing problem
(Springer, 2019-12)In this paper, we study the distribution of humanitarian relief supplies. In humanitarian relief, supplies including food, water and medication are received in batches/waves from the suppliers and the donors. Then, these ... -
HYGAR: a hybrid genetic algorithm for software architecture recovery
(ACM, 2022)Genetic algorithms have been used for clustering modules of a software system in line with the modularity principle. The goal of these algorithms is to recover an architectural view in the form of a modular structural ... -
Improving blood products supply through donation tailoring
(Elsevier, 2019-02)Recent technological advances, called Multicomponent Apheresis, allow tailoring the blood donations based on the demand and current inventory levels of blood products. Different from the most common type of blood donation ... -
Influence maximization in social networks under Deterministic Linear Threshold Model
(Elsevier, 2018-12)We define the new Targeted and Budgeted Influence Maximization under Deterministic Linear Threshold Model problem and develop the novel and scalable TArgeted and BUdgeted Potential Greedy (TABU-PG) algorithm which allows ... -
Integrated airline schedule design and fleet assignment: polyhedral analysis and benders’ decomposition approach
(Informs, 2010-01)The main airline operations consist of schedule planning, fleet assignment, aircraft routing, and crew scheduling. To improve profitability, we present in this paper an integrated fleet assignment model with schedule ... -
Integrated blood collection and appointment scheduling
(Institute of Industrial Engineers, 2012)Considering the processing requirements of donated blood, we study an integrated blood collection and appointment scheduling problem. We develop a mixed integer programming model to maximize the amount of donated blood ... -
Integrated experimental design and nonlinear optimization to handle computationally expensive models under resource constraints
(Springer Science+Business Media, 2013-09)In many real-world applications of optimization, the underlying descriptive system model is defined by computationally expensive functions: simulation modules, numerical models and other “black box” model components are ... -
Integrating social network effects in the share-of-choice problem
(Wiley, 2017-12)Accounting for social network effects in marketing strategies has become an important issue. Taking a step back, we seek to incorporate and analyze social network effects on new product development and then propose a model ... -
Intelligent classification-based methods in customer profitability modeling
(Springer International Publishing, 2015)The expected profits from customers are important informations for the companies in giving acquisition/retention decisions and developing different strategies for different customer segments. Most of these decisions can ...
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