Browsing Department of Industrial Engineering by Title
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Two classes of quadratic assignment problems that are solvable as linear assignment problems
(Elsevier, 2011)The Quadratic Assignment Problem is one of the hardest combinatorial optimization problems known. We present two new classes of instances of the Quadratic Assignment Problem that can be reduced to the Linear Assignment ... 
Two countermeasure strategies to mitigate random disruptions in capacitated systems
(2010)We examine a capacitated system exposed to random stepwise capacity disruptions with exponentially distributed interarrival times and uniformly distributed magnitudes. We explore two countermeasure policies for a riskneutral ... 
Two exact formulations for disassembly line balancing problems with task precedence diagram construction using an AND/OR graph
(Taylor & Francis, 2009)In this paper, the disassembly line balancing problem, which involves determining a line design in which used products are completely disassembled to obtain useable components in a costeffective manner, is studied. Because ... 
Twomachine flowshop scheduling with flexible operations and controllable processing times
(2013)We consider a twomachine flowshop scheduling problem with identical jobs. Each of these jobs has three operations, where the first operation must be performed on the first machine, the second operation must be performed ... 
Twosample matching test
(John Wiley & Sons, 2006) 
A twostage stochastic programming approach for reliability constrained power system expansion planning
(Elsevier, 2018)Probabilistic realizations of outages and their effects on the operational costs are highly overlooked aspects in power system expansion planning. Since the effect of randomness in contingencies can be more prominent ... 
Uncertainty analysis of force coefficients during micromilling of titanium alloy
(Springer, 2017)Predicting process forces in micromilling is difficult due to complex interaction between the cutting edge and the work material, size effect, and process dynamics. This study describes the application of Bayesian inference ... 
The US fashion industry: a supply chain review
(Elsevier, 2008)The fashion industry has short product life cycles, tremendous product variety, volatile and unpredictable demand, and long and inflexible supply processes. These characteristics, a complex supply chain and wide availability ... 
Using imperfect advance demand information in ordering and rationing decisions
(Elsevier, 2009)In this paper, we consider an inventory problem with two demand classes having different priorities. The appropriate policy of rationing the available stock, i.e. reserving some stock for meeting prospective future demand ... 
The value of multistage stochastic programming in riskaverse unit commitment under uncertainty
(IEEE, 2019)Dayahead scheduling of electricity generation or unit commitment is an important and challenging optimization problem in power systems. Variability in net load arising from the increasing penetration of renewable technologies ... 
Value of pumped hydro storage in a hybrid energy generation and allocation system
(Elsevier, 2017)Transition from fossil fuels to renewable sources is inevitable. In this direction, variation and intermittency of renewables can be integrated into the grid by means of hybrid systems that operate as a combination of ... 
Value of supplier's capacity information in a twoechelon supply chain
(2011)In traditional supply chain models it is generally assumed that full information is available to all parties involved. Although this seems reasonable, there are cases where chain members are independent agents and possess ... 
Variance of the bivariate density estimator for left truncated right censored data
(Elsevier, 1999)In this study the variance of the bivariate kernel density estimators for the left truncated and right censored (LTRC) observations are considered. In LTRC models, the complete observation of the variable Y is prevented ... 
Variance reduction techniques: experimental comparison and analysis for single systems
(Taylor & Francis, 2008)We provide a thorough analysis of the effectiveness of different Variance Reduction Techniques (VRTs). We consider both standalone and combined applications of two input techniques, Antithetic Variates (AV) and Latin ... 
The vendor location problem
(Elsevier, 2011)The vendor location problem is the problem of locating a given number of vendors and determining the number of vehicles and the service zones necessary for each vendor to achieve at least a given profit. We consider two ... 
The venue management problem: setting staffing levels, shifts and shift schedules at concession stands
(Springer, 2019)The aim of this research is to determine staffing requirements as well as shift scheduling, with the objective of maximizing the expected contribution from the venue. We specifically consider theaters where demand at ... 
Virtual Private Network Design Under Traffic Uncertainty
(2004)We propose different formulations as well as efficient solution approaches for the VPN design problem under traffic uncertainty with symmetric bandwidths. © 2004 Elsevier B.V. All rights reserved. 
Weak and strong quantile representations for randomly truncated data with applications
(Elsevier, 19930526)Suppose that we observe bivariate data (X,. q) only when Y, < Xi (left truncation). Denote with F the marginal d.f. of the X’s In this paper we derive a Bahadurtype representation for the quantile function of the pertaining ... 
Wiener disorder problem with observations at fixed discrete time epochs
(Institute for Operations Research and the Management Sciences (I N F O R M S), 2010)Suppose that a Wiener process gains a known drift rate at some unobservable disorder time with some zeromodified exponential distribution. The process is observed only at known fixed discrete time epochs, which may not ... 
Worstcase large deviations upper bounds for i.i.d. sequences under ambiguity
(TÜBİTAK, 2018)An introductory study of large deviations upper bounds from a worstcase perspective under parameter uncertainty (referred to as ambiguity) of the underlying distributions is given. Borrowing ideas from robust optimization, ...