Browsing Industrial Engineering by Title
Now showing items 169-188 of 216
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Reassessment and monitoring of loan applications with machine learning
(Taylor & Francis, 2018-11-26)Credit scoring and monitoring are the two important dimensions of the decision-making process for the loan institutions. In the first part of this study, we investigate the role of machine learning for applicant reassessment ... -
Relaxations and exact solution of the variable sized bin packing problem
(Springer Science+Business Media, 2011-03)We address a generalization of the classical one-dimensional bin packing problem with unequal bin sizes and costs. We investigate lower bounds for this problem as well as exact algorithms. The main contribution of this ... -
Relief aid provision to en route refugees: Multi-period mobile facility location with mobile demand
(Elsevier, 2022-09-01)Many humanitarian organizations aid en route refugee groups who are on their journey to cross borders using mobile facilities and need to decide the number and routes of the facilities. We define a multi-period facility ... -
Robust aircraft routing and flight retiming
(Elsevier, 2010-08-01)In this paper, we propose an integrated model for the robust aircraft routing and flight retiming problem. The model optimizes a slack-based robustness measure that explicitly takes heed of passengers in connection and ... -
Robust dual response optimization
(Taylor & Francis, 2016)This article presents a robust optimization reformulation of the dual response problem developed in response surface methodology. The dual response approach fits separate models for the mean and the variance, and analyzes ... -
A robust estimation model for surgery durations with temporal, operational, and surgery team effects
(Springer Science+Business Media, 2015-09)For effective operating room (OR) planning, surgery duration estimation is critical. Overestimation leads to underutilization of expensive hospital resources (e.g., OR time) whereas underestimation leads to overtime and ... -
A robust optimization approach for humanitarian needs assessment planning under travel time uncertainty
(Elsevier, 2020-04-01)We focus on rapid needs assessment operations conducted immediately after a disaster to identify the urgent needs of the affected community groups, and address the problem of selecting the sites to be visited by the ... -
A robust optimization approach for production planning under exogenous planned lead times
(IEEE, 2019)Many production planning models applied in semiconductor manufacturing represent lead times as fixed exogenous parameters. However, in reality, lead times must be treated as realizations of released lots' cycle times, which ... -
Robust parameter design and optimization for quality engineering
(Springer, 2022-03)This paper proposes a methodology to determine the optimal settings of key decision variables that affect the resilience of an engineering design against uncertainty. Uncertainty in quality engineering is often caused by ... -
Robust reformulations of ambiguous chance constraints with discrete probability distributions
(Balikesir University, 2019)This paper proposes robust reformulations of ambiguous chance constraints when the underlying family of distributions is discrete and supported in a so-called ``p-box'' or ``p-ellipsoidal'' uncertainty set. Using the robust ... -
Robust scheduling and robustness measures for the discrete time/cost trade-off problem
(Elsevier, 2010-12-01)Projects are often subject to various sources of uncertainties that have a negative impact on activity durations and costs. Therefore, it is crucial to develop effective approaches to generate robust project schedules that ... -
Robust strategic planning of dynamic wireless charging infrastructure for electric buses
(Elsevier, 2022-02-01)Electromobility in public bus systems is growing rapidly and experiencing a fundamental transformation in their infrastructure and operations. The dilemma of limited driving range and charging time of battery electric buses ... -
Rounding heuristics for multiple product dynamic lot-sizing in the presence of queueing behavior
(Elsevier, 2018-12)We present heuristics for solving a difficult nonlinear integer programming (NIP) model arising from a multi-item single machine dynamic lot-sizing problem. The heuristic obtains a local optimum for the continuous relaxation ... -
Selection of event tickets for bundling in sports and entertainment industry
(Elsevier, 2014-08)Most sports and entertainment firms offer season tickets first, and they allow purchasing single tickets at a later date. Basic decision problems within this context are the determination of optimal time at which switch ... -
Selective routing for post-disaster needs assessments
(Springer International Publishing, 2016)In the immediate aftermath of a disaster, relief agencies perform needs assessment operations to investigate the effects of the disaster and understand the needs of the affected communities. Since assessments must be ... -
Service center staffing with cross‐trained agents and heterogeneous customers
(Wiley, 2019-04)We model a real-world service center with cross-trained agents serving customer requests that are heterogeneous with respect to complexity and priority levels: High priority requests preempt low priority requests and ... -
Single item periodic review inventory control with sales dependent stochastic return flows
(Elsevier, 2023-01)Retailers have to deal with increasing levels of product returns as the shares of e-commerce sales soars. With this increase, it is no longer feasible to dispatch returned products to outlets or landfills, hence retailers ... -
Site selection and vehicle routing for post-disaster rapid needs assessment
(Elsevier, 2017-05)In the immediate aftermath of a disaster, relief agencies perform rapid needs assessment to investigate the effects of the disaster on the affected communities. Since assessments must be performed quickly, visiting all of ... -
Social media analytical CRM: a case study in a bank
(IOS Press, 2023)The use of the social media (SM) has become more and more widespread during the last two decades, the companies started looking for insights for how they can improve their businesses using the information accumulating ... -
Solving a large-scale crew pairing problem
(Palgrave Macmillan, 2015)Airline companies seek to solve the problem of determining an assignment of crews to a pre-determined flight schedule with minimum total cost, called the Crew Pairing Problem (CPP). Most of the existing studies focus on ...
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