Güncel Gönderiler: Endüstri Mühendisliği Bölümü
Toplam kayıt 112, listelenen: 41-60
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Modeling and analysis of packing properties through a fuzzy inference system
(Springer, 2010)Packing of manufactured products is important in protecting them from damage during handling and transportation. Several materials and methods are used for packing of products and the optimum level of packing materials ... -
A Simulation Methodology for Online Process Control of Hot Mix Asphalt (Hma) Production
(IEEE, 2010)The quality of hot mix asphalt (HMA) is directly related to the quality of the input aggregates and the control of the production process. Many factors such as aggregate gradation and moisture level affect the quality of ... -
Disservice Representation Using the Gini Coefficient in Semi-desirable Facility Location Problems
(IEEE, 2011)We consider various bi-objective models for the semi-desirable facility location problem. In these problems, the disservice caused by the facility is traditionally measured by distance-related objective functions. In this ... -
Validation of inter-atomic potential for WS2 and WSe2 crystals through assessment of thermal transport properties
(Elsevier Science BV, 2018)In recent years, transition metal dichalcogenides (TMDs) displaying astonishing properties are emerged as a new class of two-dimensional layered materials. The understanding and characterization of thermal transport in ... -
Retail space design considering revenue and adjacencies using a racetrack aisle network
(Taylor & Francis Inc, 2012)In this article, a model and solution approach for the design of the block layout of a single-story department store is presented. The approach consists of placing departments in a racetrack configuration within the store ... -
A Heuristic Based on Multi Objective Linear Programming Under Fuzziness for the Vehicle Routing Problem
(World Scientific Publ Co Pte LTD, 2012)A heuristic is proposed for the Vehicle Routing Problem in this study. The heuristic has two phases that are named as clustering phase and routing phase, and also it has a local search. Firstly customers are assigned to ... -
Hybrid approach for Pareto front expansion in heuristics
(Palgrave Macmillan LTD, 2011)Heuristic search can be an effective multi-objective optimization tool; however, the required frequent function evaluations can exhaust computational sources. This paper explores using a hybrid approach with statistical ... -
A bi-objective model for the retail spatial design problem
(Taylor & Francis LTD, 2012)In this article, a model for the design of the block layout of a retail store is presented as a bi-objective optimization problem. The approach consists of placing departments in a racetrack configuration within the store ... -
Fuzzy multi-objective programming algorithm for vehicle routing problems with backhauls
(Pergamon-Elsevier Science LTD, 2015)The vehicle routing problem with backhauls (VRPB) is an extension of the standard vehicle routing problem. VRPB has two sets of customers: linehaul customers and backhaul customers. The aim of this study is to propose a ... -
Six Sigma experience as a stochastic process
(Taylor & Francis Inc, 2017)This study empirically investigates the states of Six Sigma from a stochastic point of view. By the means of an advanced survey, 97 respondents are asked to rate the effect of Six Sigma on different performance categories, ... -
A comprehensive insight into the Six Sigma DMAIC toolbox
(Emerald Group Publishing LTD, 2016)Purpose - As opposed to general literature reviews, by narrowing down the context only around the resources related to Six Sigma tools, this study aims to offer a strong discussion about Six Sigma toolbox which has a vital ... -
A Hybrid NSGA-II Algorithm for Multiobjective Quadratic Assignment Problems
(Polish Acad Sciences Inst Physics, 2017)In this study, we propose a novel hybrid multiobjective evolutionary algorithm for solving multiobjective quadratic assignment problems. During the last decade, the researchers gave increasing attention to the multiobjective ... -
Clustering Based Polyhedral Conic Functions Algorithm in Classification
(Amer Inst Mathematical Sciences-Aims, 2015)In this study, a new algorithm based on polyhedral conic functions (PCFs) is developed to solve multi-class supervised data classification problems. The k PCFs are constructed for each class in order to separate it from ... -
Sentiment Analysis: an Application to Anadolu University
(Polish Acad Sciences Inst Physics, 2017)Social media is a Web 2.0 platform that allows to share content and information without the limitations of time and space. Social media networks have managed to become a part of today's lifestyle and are increasingly gaining ... -
An incremental piecewise linear classifier based on polyhedral conic separation
(Springer, 2015)In this paper, a piecewise linear classifier based on polyhedral conic separation is developed. This classifier builds nonlinear boundaries between classes using polyhedral conic functions. Since the number of polyhedral ... -
A sharp augmented Lagrangian-based method in constrained non-convex optimization
(Taylor & Francis LTD, 2019)In this paper, a novel sharp Augmented Lagrangian-based global optimization method is developed for solving constrained non-convex optimization problems. The algorithm consists of outer and inner loops. At each inner ... -
An incremental clustering algorithm based on hyperbolic smoothing
(Springer, 2015)Clustering is an important problem in data mining. It can be formulated as a nonsmooth, nonconvex optimization problem. For the most global optimization techniques this problem is challenging even in medium size data sets. ... -
A novel piecewise linear classifier based on polyhedral conic and max-min separabilities
(Springer, 2013)In this paper, an algorithm for finding piecewise linear boundaries between pattern classes is developed. This algorithm consists of two main stages. In the first stage, a polyhedral conic set is used to identify data ... -
Max Margin Polyhedral Conic Function Classifier
(IEEE, 2016)In classification problems, generalization ability has a key role for successful prediction. Well known Support Vector Machine classifier, tries to increase generalization ability via maximizing the margin, which is the ... -
A mixed integer nonlinear programming model and heuristic solutions for location, inventory and pricing decisions in a closed loop supply chain
(Pergamon-Elsevier Science LTD, 2016)We analyze a network design problem for a closed-loop supply chain that integrates the collection of the used products with the distribution of the new products. We present a mixed integer nonlinear facility location-inv ...