Browsing Industrial Engineering by Title
Now showing items 128-147 of 216
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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 ... -
Multi-vehicle sequential resource allocation for a nonprofit distribution system
(Informa Group, 2014)This article introduces a multi-vehicle sequential allocation problem that considers two critical objectives for nonprofit operations: providing equitable service and minimizing unused donations. This problem is motivated ... -
Near-optimal modified base stock policies for the capacitated inventory problem with stochastic demand and fixed cost
(World Scientific Publishing, 2014-06)In this study, we investigate a single-item, periodic-review inventory problem where the production capacity is limited and unmet demand is backordered. We assume that customer demand in each period is a stationary, discrete ... -
Neural network estimators for optimal tour lengths of traveling salesperson problem instances with arbitrary node distributions
(Informs, 2024)It is essential to solve complex routing problems to achieve operational efficiency in logistics. However, because of their complexity, these problems are often tackled sequentially using cluster-first, route-second ... -
A new application of the traveling salesman problem: The Turkish cashier problem
(Ministry Communications & High Technologies Republic Azerbaijan, 2022)We define the problem of finding a route for the cashier that minimizes the cost of transportation as the Turkish Cashier Problem (TCP). It is a special case of the well-known traveling salesman problem. To solve the TCP, ... -
Next-day operating room scheduling with time-dependent stochastic surgery durations
(Springer, 2022)Operating rooms (ORs) are the most costly part of hospitals, thus a priority for hospital administrations. In this paper, we consider the next-day OR scheduling problem for multiple operating rooms. We assume that surgeries ... -
Next-day operating room scheduling with uncertain surgery durations: Exact analysis and heuristics
(Elsevier, 2020-10-01)Operating rooms are units of particular interest in hospitals as they constitute more than 40% of total expenses and revenues. Managing operating rooms is challenging due to conflicting priorities and preferences of various ...
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