Browsing Industrial Engineering by Title
Now showing items 177-196 of 217
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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 ... -
Solving a large-scale integrated fleet assignment and crew pairing problem
(Springer International Publishing, 2017)Airline schedule planning problems are typically decomposed into smaller problems, which are solved in a sequential manner, due to the complexity of the overall problems. This results in suboptimal solutions as well as ... -
Solving a new application of asymmetric TSP by modified migrating birds optimization algorithm
(Springer, 2023-07)In this study, we first introduce a new application of the asymmetric traveling salesman problem which is about a small restaurant with one cook and a single stove. Once a meal has started cooking on the stove, the cook ... -
Solving credit card fraud detection problem by the new metaheuristics migrating birds optimization
(Springer Science+Business Media, 2013)Statistical fraud detection problem is a very difficult problem in that there are very few examples of fraud. The great majority of transactions are legitimate. On the other hand, for this binary classification problem the ... -
Solving the integrated shipment routing problem of a less-than-truckload carrier
(Elsevier, 2017)We study a less-than-truckload (LTL) transportation network and investigate the potential benefits of implementing an integrated solution approach for shipment routing throughout this network. In LTL transportation, shipments ... -
Solving the steiner tree problem with revenues, budget and hop constraints to optimality
(IEEE, 2013)We investigate the Steiner tree problem with revenues, budget and hop constraints (STPRBH) on graph, which is a generalization of the well-known Steiner tree problem. Given a root node, edge costs, nodes revenues, as well ... -
Solving two-stage hybrid flow shop using climbing depth-bounded discrepancy search
(Elsevier, 2011-03)This paper investigates how to adapt a discrepancy-based search method to solve two-stage hybrid flowshop scheduling problems in which each stage consists of several identical machines operating in parallel. The objective ... -
Special issue in humanitarian operations
(Elsevier, 2016-12)
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