Browsing Industrial Engineering by Title
Now showing items 122-141 of 216
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A longitudinal model for song popularity prediction
(SciTePress, 2021)Usage of new generation music streaming platforms such as Spotify and Apple Music has increased rapidly in the last years. Automatic prediction of a song's popularity is valuable for these firms which in turn translates ... -
A machine learning approach to deal with ambiguity in the humanitarian decision-making
(Wiley, 2023-09)One of the major challenges for humanitarian organizations in response planning is dealing with the inherent ambiguity and uncertainty in disaster situations. The available information that comes from different sources in ... -
Managing platelet supply through improved routing of blood collection vehicles
(Elsevier, 2018-10)In this paper, we study the routing of blood collection vehicles for improving the platelet supply in the blood supply chain. In order to extract platelets, donated blood has to be processed at a central processing facility ... -
A Markovian approach for time series prediction for quality control
(Elsevier, 2019)In this work we aim to predict quality levels of incoming batches of a selected product type to a white goods manufacturer from a third party supplier. We apply a Markov Model that captures the quality level of the incoming ... -
A math-heuristic approach for two echelon vendor managed inventory routing problem
(IEOM Society, 2021)This paper studies a two-echelon vendor managed inventory routing problem of a honey packager company that delivers packaged products from a single facility to multiple retailers and customers. The objective is creating a ... -
A mathematical model for customer lifetime value based offer management
(Springer, 2018)Customers with prepaid lines possess higher attrition risk compared to postpaid customers, since prepaid customers do not sign long-term obligatory contracts and may churn anytime. For this reason, mobile operators have ... -
A mathematical model for equitable in-country COVID-19 vaccine allocation
(Taylor and Francis, 2022)Given the scarcity of COVID-19 vaccines, equitable (fair) allocation of limited vaccines across the main administrative units of a country (e.g. municipalities) has been an important concern for public health authorities ... -
A mathematical model for perishable products with price- and displayed-stock-dependent demand
(Elsevier, 2016-12)We introduce an economic order quantity model that incorporates product assortment, pricing and space-allocation decisions for a group of perishable products. The goal is to maximize the retailer’s profit under shelf-space ... -
Mathematical optimization for time series decomposition
(Springer, 2021-09)Decomposing time series into trend and seasonality components reveals insights used in forecasting and anomaly detection. This study proposes a mathematical optimization approach that addresses several data-related issues ... -
MathOptimizer: a nonlinear optimization package for mathematica users
(2009)Mathematica is an advanced software system that enables symbolic computing, numerics, program code development, model visualization and professional documentation in a unified framework. Our MathOptimizer software package ... -
Metaheuristics for the traveling salesman problem with pickups, deliveries and handling costs
(Elsevier, 2012-05)This paper studies the Traveling Salesman Problem with Pickups, Deliveries, and Handling Costs. The subproblem of minimizing the handling cost for a fixed route is analyzed in detail. It is solved by means of an exact ... -
Migrating birds optimization: a new metaheuristic approach and its performance on quadratic assignment problem
(Elsevier, 2012-12-25)We propose a new nature inspired metaheuristic approach based on the V flight formation of the migrating birds which is proven to be an effective formation in energy saving. Its performance is tested on quadratic assignment ... -
Mitigating the impact of drug shortages for a healthcare facility: An inventory management approach
(Elsevier, 2016-05-16)Despite the importance and value of the pharmaceutical market, a significant portion of procurement spending including pharmaceuticals are lost. Coupling poor and reactive management practices with the inevitable national ... -
A model to estimate cost-savings in diabetic foot ulcer prevention efforts
(Elsevier, 2017)Background: Sustained efforts at preventing diabetic foot ulcers (DFUs) and subsequent leg amputations are sporadic in most health care systems despite the high costs associated with such complications. We sought to estimate ... -
Modeling influenza pandemic and planning food distribution
(Informs, 2014)Based on the recent incidents of H5N1, H1N1, and influenza pandemics in history (1918, 1957, and 1968) experts believe that a future influenza pandemic is inevitable and likely imminent. Although the severity of influenza ... -
Modelling and solving an m-location, n-courier, priority-based planning problem on a network
(Springer Nature, 2012-01)In this paper, we study an m-location, n-courier, priority-based planning problem on a network, which we refer to as the Courier Planning Problem (CPP). The CPP arises on a daily basis in the context of planning the ... -
A multi-cover routing problem for planning rapid needs assessment under different information-sharing settings
(Springer Nature, 2020-03)In this paper, we introduce a multi-cover routing problem (MCRP), which is motivated by post-disaster rapid needs assessment operations performed to evaluate the impact of the disaster on different affected community groups. ... -
Multi-dimensional clearing functions for aggregate capacity modelling in multi-stage production systems
(Informa, 2017)Nonlinear clearing functions have been proposed in the literature as metamodels to represent the behaviour of production resources that can be embedded in optimisation models for production planning. However, most clearing ... -
Multi-instance learning by maximizing the area under receiver operating characteristic curve
(Springer, 2023-02)The purpose of this study is to solve the multi-instance classification problem by maximizing the area under the Receiver Operating Characteristic (ROC) curve obtained for witness instances. We derive a mixed integer linear ... -
Multi-stage scenario-based stochastic programming for managing lot sizing and workforce scheduling at Vestel
(Springer, 2023-12)This study proposes a multi-stage stochastic production planning approach for a joint lot sizing and workforce scheduling problem under demand uncertainty. Scenario trees are used to model uncertainty in demand, and a ...
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