@article{chun_suh_2020, title={Distribution of fiber intersections in two-dimensional random fiber web cases with a mixture of two fiber lengths}, volume={90}, ISSN={["1746-7748"]}, DOI={10.1177/0040517519898158}, abstractNote={The statistical distribution of the number of fiber intersections in a unit area is of great importance in determining the physical and mechanical properties of random fiber webs and the products produced. The distribution of the number of fiber intersections determines the non-uniformity of the basis weight and can be used in designing optimal control strategies relating to such physical properties as strength, elongation, air/water permeability, acoustics and filtering efficiencies of fiber webs and nonwoven fabrics. This paper developed a geometrical and probabilistic model for the number of fiber intersections in two-dimensional random fiber webs, where two distinct fiber lengths are mixed at varying ratios. This work is an extension of a previously derived paper where the model assumed that all fiber lengths are equal. Here, we present a geometrical probabilistic model, theories for deriving expectations and variances of the number of intersections in random fiber webs. The model and statistical parameters are validated through an extensive computer simulation study.}, number={15-16}, journal={TEXTILE RESEARCH JOURNAL}, author={Chun, Heuiju and Suh, Moon W.}, year={2020}, month={Aug}, pages={1851–1859} }
 @article{jo_suh_oh_kim_bae_choi_han_2014, title={Automatic human body segmentation based on feature extraction}, volume={26}, ISSN={["1758-5953"]}, DOI={10.1108/ijcst-10-2012-0062}, abstractNote={
               Purpose
                – Automatic segmentation of unorganized 3D human body scan data was developed without heuristic specified values. It was reliable in finding the upper body's primary landmarks. The paper aims to discuss these issues. 
            }, number={1}, journal={INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY}, author={Jo, JoonWoo and Suh, MoonWon and Oh, TaeHwan and Kim, HeeSam and Bae, HanJo and Choi, SoonMo and Han, SungSoo}, year={2014}, pages={4–24} }
 @article{kim_suh_huh_2012, title={Analysis of sliver thickness variation from process perturbations in roller drafting}, volume={103}, ISSN={["0040-5000"]}, DOI={10.1080/00405000.2012.660754}, abstractNote={In processing fiber bundles in staple yarn manufacturing, the bundles are doubled and attenuated to an appropriate thickness via drafting. The process conditions are optimized with respect to the fiber and bundle properties. Otherwise, the output fiber bundle becomes non-uniform in its linear density. This research deals with finding the changes in linear density of the output bundle when perturbations are applied to the drafting conditions. Perturbations with specific autocorrelation functions were generated by the random phase spectral method. Along with the stochastically generated test signals, the transient linear density profiles of the fiber bundle in the drafting zone were simulated by using a mathematical model describing the dynamics of the roller drafting, and thus, the linear density of the output bundle could be predicted. Our results showed that the disturbances in input linear density affected the transient profiles of the linear density of the fiber bundle inside the draft zone. It was also shown that the output irregularities were strongly influenced by the perturbation in the input bundle thickness. During drafting, the perturbations in the draft ratio perturbations were not shown to have influenced the transient profiles of the bundle linear density inside the draft zone. However, the variation in the linear density appeared again in the output bundle following exactly the changes in the daft ratio. Disturbances in the process speed, however, were not shown to have influenced the output variation.}, number={10}, journal={JOURNAL OF THE TEXTILE INSTITUTE}, author={Kim, Jong S. and Suh, Moon W. and Huh, You}, year={2012}, pages={1055–1062} }
 @article{kim_huh_suh_2010, title={A method to generate autocorrelated stochastic signals based on the random phase spectrum}, volume={101}, ISSN={["1754-2340"]}, DOI={10.1080/14685240802528443}, abstractNote={Most of the random signals used to analyze the quality of an industry product or process disturbance have properties that can be described by an autocorrelation function. This research suggests a novel method that can generate stochastic signals that have specific autocorrelated properties. On the basis of the power spectrum and the inverse Fourier transform, stochastic signals were generated by the new method, which applies the random phase angle distribution to the power spectrum of the signal. Then, the autocorrelation functions of the generated signals were compared with the assigned autocorrelation functions. Results showed that stochastic signals with five different types of autocorrelation functions could be effectively produced by the suggested method, which we have called the “Random Phase Spectral Method”. Ensembles of the generated stochastic signals could find applications in analyzing dynamic systems that work under perturbed circumstances. The effect of the autocorrelated perturbations in the model parameters or process conditions on the dynamic state of a process system could also be estimated by simulation using the stochastic signals generated by the RPS method.}, number={5}, journal={JOURNAL OF THE TEXTILE INSTITUTE}, author={Kim, Jong S. and Huh, You and Suh, Moon W.}, year={2010}, pages={471–479} }
 @article{suh_chun_berger_bloomfield_2010, title={Distribution of Fiber Intersections in Two-Dimensional Random Fiber Webs - A Basic Geometrical Probability Model}, volume={80}, ISSN={["1746-7748"]}, DOI={10.1177/0040517509105071}, abstractNote={ Fundamental theories governing the number of fiber intersections in random nonwoven fiber webs were developed based on the planar geometry of fiber midpoints distributed in a two-dimensional Poisson field. First, the statistical expectation and variance for the number of fiber intersections in unit web area were obtained as functions of a fixed number of fibers with equal lengths. The theories were extended to the case of a two-dimensional Poisson field by assuming that the number and locations of the fibers are random. The theories are validated by a newly developed computer simulation method employing the concept of “seeding region” and “counting region.” Unlike all previously published papers, it was shown for the first time that the expectations and variances obtained theoretically matched that from computer simulations almost perfectly, validating both the theories and simulation algorithms developed. }, number={4}, journal={TEXTILE RESEARCH JOURNAL}, author={Suh, Moon W. and Chun, Heuiju and Berger, Roger L. and Bloomfield, Peter}, year={2010}, month={Mar}, pages={301–311} }
 @article{lim_suh_gaskill_2009, title={Economic analysis of US textile production activities under the North American Free Trade Agreement}, volume={100}, ISSN={["0040-5000"]}, DOI={10.1080/00405000802125170}, abstractNote={This economic analysis investigates the US textile industry's output supply and input demand pattern under the influence of North American Free Trade Agreement (NAFTA) and determines the significance of the agreement on the industry. This analysis employs the normalized restricted translog profit model as an analytical tool and introduces a time dummy variable in the model to distinguish the pre- and post-NAFTA years. The outcome of analysis shows the significant but negative effect of NAFTA on the industry's profit performance in the early years of the agreement, probably due to intensified import competition, fall of real output prices, and numerous mill closings. NAFTA, however, is identified as less significant than variable input prices of labor, material, and electricity. The elasticity estimates show the dominant role of maintenance and capital expenditures, followed by textile output and variable input prices in order, in determining the industry's output supply and input demand. Overall, NAFTA is identified as a short-term solution to the US textile industry's fundamental problems of high labor costs and declining price competitiveness.}, number={7}, journal={JOURNAL OF THE TEXTILE INSTITUTE}, author={Lim, M. and Suh, M. W. and Gaskill, L.}, year={2009}, pages={612–625} }
 @article{suh_guenay_jasper_2007, title={Prediction of surface uniformity in woven fabrics through 2-D anisotropy measures, Part I: Definitions and theoretical model}, volume={98}, ISSN={["0040-5000"]}, DOI={10.1533/joti.2005.0232}, abstractNote={Abstract A method has been developed for analyzing and predicting the surface uniformity of fabrics directly from yarn diameter measurements by using variance-area curves. The variance-length curves were first derived as a function of correlogram obtainable from the neighboring points within a yarn. Then the between-area variance curves were obtained directly from the variance-length curve and a correlation function. The anisotropy of surface irregularity was defined for woven fabrics, and a quantification method was proposed.}, number={2}, journal={JOURNAL OF THE TEXTILE INSTITUTE}, publisher={Informa UK Limited}, author={Suh, M. W. and Guenay, M. and Jasper, W. J.}, year={2007}, pages={109–116} }
 @article{guenay_suh_jasper_2007, title={Prediction of surface uniformity in woven fabrics through 2-D anisotropy measures, Part II: Simulation and verification of the prediction model}, volume={98}, ISSN={["0040-5000"]}, DOI={10.1533/joti.2005.0234}, abstractNote={Abstract Yarn diameter profiles were captured from an online measurement system and then translated into a two-dimensional (2-D) fabric matrix by assigning each point of the yarn to a specific location within a virtual fabric. A method to quantify the anisotropy in fabric nonuniformity was developed by combining the gray-scale image of the 2-D fabric matrix with the newly defined between-area variance curves. The 2-D anisotropy measures thus obtained were found to be highly useful for characterizing certain appearance features of woven fabrics such as vertical or horizontal streaks and random cloudiness. Methods for selecting different shapes of the unit area facilitated comparison of the resulting between-area variance curves, and thus a measure of isotropy in the nonuniformity features of the woven fabrics.}, number={2}, journal={JOURNAL OF THE TEXTILE INSTITUTE}, publisher={Informa UK Limited}, author={Guenay, M. and Suh, M. W. and Jasper, W. J.}, year={2007}, pages={117–126} }
 @article{chun_bae_kim_suh_grady_lyoo_yoon_han_2006, title={Real-time identification of the draft system using neural network}, volume={7}, ISSN={["1875-0052"]}, DOI={10.1007/BF02933604}, number={1}, journal={FIBERS AND POLYMERS}, author={Chun, SY and Bae, HJ and Kim, SM and Suh, MW and Grady, P and Lyoo, WS and Yoon, WS and Han, SS}, year={2006}, month={Mar}, pages={62–65} }
 @article{huh_kim_kim_suh_2005, title={Characterizing yarn thickness variation by correlograms}, volume={6}, ISSN={["1229-9197"]}, DOI={10.1007/BF02875575}, number={1}, journal={FIBERS AND POLYMERS}, author={Huh, Y and Kim, JS and Kim, SH and Suh, MW}, year={2005}, month={Mar}, pages={66–71} }
 @article{koo_suh_2005, title={Effects of spinning processes on HVI fiber characteristics and spun yarn properties}, volume={6}, ISSN={["1229-9197"]}, DOI={10.1007/BF02875572}, number={1}, journal={FIBERS AND POLYMERS}, author={Koo, HJ and Suh, MW}, year={2005}, month={Mar}, pages={42–48} }
 @article{jeon_bae_suh_2003, title={Automatic recognition of woven fabric patterns by an artificial neural network}, volume={73}, DOI={10.1177/004051750307300714}, abstractNote={ A neural network and image processing technology are introduced for classifying woven fabric patterns. An autocorrelation function is used to determine one weave repeat of the fabric. The reflected fabric image is captured and digitized by the computer system. The learning vector quantization algorithm as a learning rule of the artificial neural network enables recognition of woven fabric types more effectively. The results demon strate that three fundamental weave types can be classified accurately, and structural parameters such as yarn spacing, its variance, and the ratio of warp spacing to weft spacing can also be obtained. }, number={7}, journal={Textile Research Journal}, author={Jeon, B. S. and Bae, J. H. and Suh, M. W.}, year={2003}, pages={645–650} }
 @article{cui_suh_sasser_2003, title={Estimating single cotton fiber tensile properties from the load-elongation curves of slack bundles}, volume={73}, ISSN={["1746-7748"]}, DOI={10.1177/004051750307301207}, abstractNote={ A method has been developed to estimate single cotton fiber tensile properties from load-elongation curves of slack fiber bundles. The method is applied to bundle load- elongation curves from HVI tests to estimate the averages of fiber breaking strength, elongation, and crimp. The estimated values are compared with single fiber tensile properties obtained from a Mantis® single fiber tester. }, number={12}, journal={TEXTILE RESEARCH JOURNAL}, author={Cui, XL and Suh, MW and Sasser, PE}, year={2003}, month={Dec}, pages={1066–1070} }
 @article{suh_huh_2003, title={Measuring the thickness variation of fiber bundle with twists by a flying laser spot scanning method}, volume={73}, number={9}, journal={Textile Research Journal}, author={Suh, M. and Huh, Y.}, year={2003} }
 @article{suh_2003, title={What's happening to the U. S. textile industry?: Reflections on NAFTA and U.S. corporate strategies}, volume={7}, number={2}, journal={Journal of Fashion Marketing and Management}, author={Suh, M.}, year={2003}, pages={119–137} }
 @article{jeong_suh_2002, title={Sequential channelling of mass variances in spun yarn manufacturing processes}, volume={72}, ISSN={["0040-5175"]}, DOI={10.1177/004051750207200812}, abstractNote={ This research deals with a new method of depicting the irregularity of a spun yarn in terms of the mass density profiles of its roving and sliver. A data acquisition system is introduced for capturing analog signals of fiber strands from an Uster Tester3®. Using the system, a linear relationship can be established between the masses of the fiber assemblies and the amplitudes of the output signals, which are shown to fit a time-series model. In addition, a statistical technique is proposed for separating the input variance and the process variance when a roving is produced from a sliver by the conventional drafting process in ring spinning. A spline method and a cross-spectrum analysis demonstrate that the density profiles of a sliver are channeled down to that of the resulting roving, and suggest a strong possibility for separating and controlling the process variances apart from the input variances. }, number={8}, journal={TEXTILE RESEARCH JOURNAL}, author={Jeong, SH and Suh, MW}, year={2002}, month={Aug}, pages={721–726} }
 @article{suh_jeong_2002, title={Sequential channelling of time-dependent variances in spun yarn manufacturing}, volume={72}, number={3}, journal={Textile Research Journal}, author={Suh, M. and Jeong, S. H.}, year={2002}, pages={1–7} }
 @article{koo_suh_woo_2001, title={Variance tolerancing and decomposition in short-staple spinning processes Part I: Modeling spun yarn strength through intrinsic components}, volume={71}, DOI={10.1177/004051750107100101}, abstractNote={ A variance tolerancing method is developed as a means for separating and estimating random errors associated with raw materials and yarn structures from process-induced errors based on structural relationships governing the strength of a spun yarn. The method is successfully used to estimate the mean and variance of spun yarn strength by propagating the statistical parameters of fiber properties onto those of the resulting spun yarns. In developing the new estimation procedure, probabilistic models based on the distributions of fiber length and tensile properties are combined with geometric and structural models of fiber arrangements in spun yarns. For the first time, the concept of “effective gauge length” is used to model and simulate the breakage process of spun yarns. The new concept and specific methodology are aimed at better controlling process and product characteristics by quantifying the variances according to their sources. }, number={1}, journal={Textile Research Journal}, author={Koo, H. J. and Suh, M. W. and Woo, J. L.}, year={2001}, pages={1–7} }
 @article{suh_koo_woo_2001, title={Variance tolerancing and decomposition in short-staple spinning processes part II: Simulations and applications to ring and OE spun yarns}, volume={71}, ISSN={["0040-5175"]}, DOI={10.1177/004051750107100203}, abstractNote={ The variance tolerancing and decomposition method developed in Part I of this paper is applied to a large amount of fiber and yarn test data obtained from a spinning mill during a three-year period. The variabilities of single-end strengths found in six different ring spun and open-end yarns are successfully decomposed into random and processinduced variance components by tolerancing the variances of the matching fiber length and tensile properties. A total of 43,080 single-end yarn strength tests, 4,200,000 AFIS® fiber lengths, and over 70,000 Mantis® single-fiber tensile tests are performed for the required parameter estimation, simulation, and model validation. The results confirm that variance tolerancing through “effective gauge length” and other intrinsic components is effective for variance estimation and decomposition. Most significant is that the processinduced variances account for 69-82% of the total yarn strength variations, signifying the importance of and challenges in controlling and reducing process variances in spun yarn manufacturing. }, number={2}, journal={TEXTILE RESEARCH JOURNAL}, author={Suh, MW and Koo, HJ and Woo, JL}, year={2001}, month={Feb}, pages={105–111} }
 @article{kim_jasper_suh_woo_2000, title={Effect of measurement principle and measuring field on uniformity measures of spun yarns}, volume={70}, ISSN={["0040-5175"]}, DOI={10.1177/004051750007000704}, abstractNote={ The effect of measuring field length on yarn evenness is investigated by comparing the coefficient of variation or CV of the measure obtained from three different sensors with different measurement principles: a capacitance sensor with an 8 mm sensing zone, an optical sensor with a 2 mm sensing zone, and a laser scanner with a 1 mm effective sensing zone. A probabilistic model is developed to predict the different CV values obtained from the different instruments, and the results are compared with experimental values. }, number={7}, journal={TEXTILE RESEARCH JOURNAL}, publisher={SAGE Publications}, author={Kim, J and Jasper, WJ and Suh, MW and Woo, JL}, year={2000}, month={Jul}, pages={584–587} }
 @inproceedings{suh_koo_watson_1999, title={Development of optimal HVI quality index for prediction of yarn tensile strength}, booktitle={Beltwide Cotton Conferences. Proceedings}, author={Suh, M. and Koo, H.J. and Watson, M.D.}, year={1999} }
 @article{suh_koo_watson_1999, title={Development of optimal HVI strength index for prediction of yarn tensile strength}, volume={1}, number={1999}, journal={Beltwide Cotton Conferences. Proceedings}, author={Suh, M. W. and Koo, H.-J. and Watson, M. D.}, year={1999}, pages={706–708} }
 @inproceedings{suh_1999, title={Global strategies for improving yarn and fabric qualities in the 21st century}, volume={2}, booktitle={79th World Conference of the Textile Institute}, author={Suh, M. W.}, year={1999}, pages={179–185} }
 @article{koo_suh_1999, title={Maximizing yarn and fabric strength through variance of HVI elongation}, volume={69}, ISSN={["0040-5175"]}, DOI={10.1177/004051759906900609}, abstractNote={ As a new method for maximizing yarn and fabric strengths, an exploratory blending experiment is completed in a 4-week period by processing 2117 bales of three different cottons in a textile mill to produce 94.4 tex (6.3/1 Ne) open-end spun yarns, and weaving them into a denim fabric. Bale selection is done in such a way that the variance of single fiber breaking elongations can be minimized within a laydown of 29 bales as well as among the fibers to be found within an arbitrary cross section of the yam produced from the laydown. The study shows that the variance of the HVI breaking elongations obtained from the cotton bales is useful for maximizing the resulting yarn strengths, especially when they are combined with the Mantis® single fiber test results. In addition, a follow-up study analyzes the HVI data and matching physical test data obtained from a 2-year production period. In all, 121,200 bales (4180 laydowns) are tested for HVI bundle strength, elongation, micronaire, length, and other properties. As in the exploratory study, the cotton bales are processed into 94.4 tex open-end spun yams and an identical denim fabric. The final analysis shows that the between-bale variance of HVI bundle breaking elongations within a laydown is quite useful as a criterion for bale selection and yarn and fabric strength maximization. An enhanced method is also developed to make use of the HVI elongation data together with the Mantis single fiber tensile test results. The new procedure is even more effective at maximizing yarn and fabric strengths. }, number={6}, journal={TEXTILE RESEARCH JOURNAL}, author={Koo, HJ and Suh, MW}, year={1999}, month={Jun}, pages={447–456} }
 @inproceedings{suh_lee_1999, title={Modeling of U.S. men's apparel consumption trends and its implication on cotton consumption}, booktitle={Beltwide Cotton Conferences. Proceedings}, author={Suh, M. and Lee, E.K.}, year={1999} }
 @article{suh_lee_1999, title={Modeling of U.S. men's apparel consumption trends and its implication on textil mill cotton consumption}, volume={2}, number={1999}, journal={Beltwide Cotton Conferences. Proceedings}, author={Suh, M. W. and Lee, E.-K.}, year={1999}, pages={339–343} }
 @article{cui_suh_sasser_1999, title={Tensile behavior of slack fiber bundles - Theory and application to HVI testing}, volume={69}, DOI={10.1177/004051759906900706}, abstractNote={ A statistical model for the tensile behavior of a bundle of slack fibers is developed in terms of its constituent single fiber properties. A large amount of data on single fiber tensile properties is obtained by a Mantis® tester. Application of this theory to HVI tensile test results shows much better agreement than other models developed earlier for bundles of straight, equal length fibers. }, number={7}, journal={Textile Research Journal}, author={Cui, X. L. and Suh, M. W. and Sasser, P. E.}, year={1999}, pages={497–502} }
 @article{sasser_suh_1999, title={Tensile behaviors of slack fiber bundles - theory and application to HVI testing}, volume={69}, journal={Textile Research Journal}, author={Sasser, P.E. and Suh, M.}, year={1999}, pages={497–502} }
 @inproceedings{suh_watson_1999, title={Use of HVI breaking elongation for maximization of yarn and fabric strengths}, number={1999 March}, booktitle={Proceedings of International Committee on Cotton Testing Methods, Bremen, Germany, March, 1999}, author={Suh, M. W. and Watson, M. D.}, year={1999}, pages={215–216} }
 @article{suh_koo_watson_1998, title={Estimation of HVI bundle modulus and toughness as determinants to tensile properties of spun yarns}, volume={2}, number={1998}, journal={Beltwide Cotton Conferences. Proceedings}, author={Suh, M. W. and Koo, H.-J. and Watson, M. D.}, year={1998}, pages={1530–1536} }
 @article{suh_koo_cui_1998, title={Prediction of yarn tensile properties based on HVI testing of 36 U.S. upland cottons}, volume={1}, number={1998}, journal={Beltwide Cotton Conferences. Proceedings}, author={Suh, M. W. and Koo, H.-J. and Cui, X.}, year={1998}, pages={786–790} }
 @article{cui_calamari_suh_1998, title={Theoretical and practical aspects of fiber length comparisons of various cottons}, volume={68}, DOI={10.1177/004051759806800701}, abstractNote={ Fiber length is one of the most important physical properties of cotton. Frequently, it is necessary to compare the fiber lengths of various cottons. The commonly used statistical characteristics of a cotton fiber length distribution include the mean fiber length, short fiber content, and upper quartile length. These statistics may be calculated from number-based or weight-based distributions. This paper shows theoretically and experimentally that number-based and weight-based statistics may give opposite rank orders in some cases when they are used to compare cotton fiber lengths. }, number={7}, journal={Textile Research Journal}, author={Cui, X. L. and Calamari, T. A. and Suh, M. W.}, year={1998}, pages={467–472} }
 @article{suh_woo_koo_1997, title={Spinning quality/process improvement through variance tolerancing}, volume={1}, number={1997}, journal={Beltwide Cotton Conferences. Proceedings}, author={Suh, M. W. and Woo, J. L. and Koo, H. J.}, year={1997}, pages={691–696} }
 @article{suh_funderburk_1997, title={Will the casual trend continue? Modeling of US men's apparel sales, 1990-96}, volume={88}, ISSN={["0040-5000"]}, DOI={10.1080/00405009708658573}, abstractNote={Since the late 1980s the buzz-word in the men's apparel industry has been casual. Tailored suits and coats have been replaced in the office by jeans, slacks and sport shirts. The evolution of this trend by itself is fascinating, but perhaps most important is the future direction of the evolving phenomenon. This paper presents a statistical methodology based on the use of indicator variables and time trend to model and forecast sales of various men's apparel items in order to determine the future direction of the casual trend in the United States.}, number={1}, journal={JOURNAL OF THE TEXTILE INSTITUTE}, author={Suh, MW and Funderburk, RE}, year={1997}, pages={82–97} }
 @article{suh_sasser_1996, title={The technological and economic impact of high volume instrument (HVI) systems on the cotton and cotton textile industries}, volume={87}, ISSN={["1754-2340"]}, DOI={10.1080/00405009608659117}, abstractNote={The development and use of HVI systems have resulted in significant technological and economic changes in the production and mill consumption of cotton. This paper explains how the testing systems are used and examines and discusses the impact of changes on the cotton and cotton textile industries. The paper also examines the trends and future development capabilities of such HVI systems and concludes that such changes may he only a small portion of what is forthcoming in the continuous improvement of cotton textile quality.}, journal={JOURNAL OF THE TEXTILE INSTITUTE}, author={Suh, MW and Sasser, PE}, year={1996}, pages={43–59} }
 @article{suh_1994, title={IMPROVING TEXTILE PRODUCT AND PROCESS QUALITIES - FAILURE MECHANISMS AND NEW DIRECTIONS FOR THE FUTURE}, volume={85}, ISSN={["0040-5000"]}, DOI={10.1080/00405009408631294}, number={4}, journal={JOURNAL OF THE TEXTILE INSTITUTE}, author={SUH, MW}, year={1994}, pages={476–483} }
 @article{suh_1992, title={QUALITY, PROCESS, AND COST CONTROLS - A RANDOM-WALK IN TEXTILE PROFITABILITY}, volume={83}, ISSN={["0040-5000"]}, DOI={10.1080/00405009208631208}, abstractNote={The impact and potential of quality, process, and cost controls on textile-industry profitability are analyzed relative to the random-walk processes found in the profit margins of the U.S. textile industry during the period 1961–1988 and of six selected textile companies during the period 1974–1988. In addition, the quality and process measurements taken from multistage textile processing are modeled as a random-walk process in order to demonstrate that a large hidden potential exists for significant profit improvements in textile operations. Several changes are recommended, aimed at improving the over-all profitability through quality, process, and cost controls.}, number={3}, journal={JOURNAL OF THE TEXTILE INSTITUTE}, author={SUH, MW}, year={1992}, pages={348–360} }
 @article{suh_terrien_1991, title={PREDICTING DOWNTURNS IN THE UNITED-STATES TEXTILE-INDUSTRY BUSINESS CYCLES}, volume={82}, ISSN={["0040-5000"]}, DOI={10.1080/00405009508658761}, abstractNote={A probability model is applied to predict sudden downturns in the U.S. textile-industry business cycles on the basis of the available statistical data. The results indicate that the model, while satisfactory for other cyclical business data, is not highly satisfactory for predicting downturns in the U.S. textile-industry business cycles.}, number={2}, journal={JOURNAL OF THE TEXTILE INSTITUTE}, author={SUH, MW and TERRIEN, PG}, year={1991}, pages={233–245} }
 @article{zeidman_suh_batra_1990, title={A NEW PERSPECTIVE ON YARN UNEVENNESS - COMPONENTS AND DETERMINANTS OF GENERAL UNEVENNESS}, volume={60}, ISSN={["1746-7748"]}, DOI={10.1177/004051759006000101}, abstractNote={ A simple analysis of the local linear density of a yarn yields an equation of its overall variance, which has three components: variance of the number of fibers per cross section, variance of the mean local fiber fineness, and that of the mean parameter of fiber inclination relative to yam axis. Further mathematical analysis of the component variances reveals a set of determining factors: the sequence of the fiber ends along the yam, the distribution of the fiber length, fiber fineness and its irregularity, the irregularity of the fiber configuration relative to the yam axis, and the blend uniformity along the yarn. To help in this analysis, a representation of the yarn, free of any structural hypothesis, is derived from the way the yam emerges from a ring spinning process: a superposition of elementary strips, each resulting from an initial sliver. This represen tation demonstrates that inverse proportionality between the squared CV of the yarn and its mean number of fibers in cross section holds for any yarn, including those idealized by Poissonian or other similar models. }, number={1}, journal={TEXTILE RESEARCH JOURNAL}, author={ZEIDMAN, MI and SUH, MW and BATRA, SK}, year={1990}, month={Jan}, pages={1–6} }