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A multivariate sign chart for monitoring dependence among mixed-type data EI Scopus SCIE
期刊论文 | 2018 , 126 , 625-636 | Computers and Industrial Engineering
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Abstract :

Statistical process control (SPC) has been widely utilised for quality improvement and surveillance in industrial engineering. Modern industrial applications have witnessed more and more mixed-type quality characteristics such as those consisting of ordinal categorical and continuous ones. However, traditional charting techniques consider the dependence in either categorical or continuous data and hardly combine the two in quality control. Under the assumption that the ordinal attribute levels of a factor are determined by a latent continuous variable, there exists an order among categorical observations of this factor, which is similar to that among continuous observations. Then mixed-type observations can be transformed into a unified framework of standardized ranks, based on directions of which with respect to their centre parameter, the spatial-sign covariance matrix can be calculated for statistical surveillance of cross-dependence among mixed-type factors. The affine invariant property of consequent charting statistic helps improve the efficiency of detecting dependence shifts in mixed-type data. Simulation results demonstrate the superiority of proposed control chart and an additive manufacturing (3D printing) example shows that it can perform excellently well in practice. © 2018 Elsevier Ltd

Keyword :

Continuous observation Continuous variables Latent variable Quality characteristic Quality improvement Spatial sign Standardized ranks Statistical process controls (SPC)

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GB/T 7714 Wang, Junjie , Su, Qin , Fang, Yue et al. A multivariate sign chart for monitoring dependence among mixed-type data [J]. | Computers and Industrial Engineering , 2018 , 126 : 625-636 .
MLA Wang, Junjie et al. "A multivariate sign chart for monitoring dependence among mixed-type data" . | Computers and Industrial Engineering 126 (2018) : 625-636 .
APA Wang, Junjie , Su, Qin , Fang, Yue , Zhang, Pengwei . A multivariate sign chart for monitoring dependence among mixed-type data . | Computers and Industrial Engineering , 2018 , 126 , 625-636 .
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A univariate procedure for monitoring location and dispersion with ordered categorical data EI SCIE Scopus
期刊论文 | 2018 , 47 (1) , 115-128 | COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
SCOPUS Cited Count: 1
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Abstract :

The quality characteristic is usually measured by ordered attribute levels, such as good, general, and poor, which describe different magnitudes of the characteristic. The ordinal levels are determined by a continuous latent variable, the shifts of which are reflected by the observed counts in each level. This article devises a control procedure based on the discrepancy between observed average cumulative counts and their expected ones. Simulation results are shown to demonstrate its superior sensitivity in simultaneously detecting location and dispersion shifts of the latent variable. Flexibility in assigning the weight for each level can allow the chart to be more powerful.

Keyword :

Dispersion Statistical process control Categorical data Location parameter

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GB/T 7714 Wang, Junjie , Su, Qin , Xie, Min . A univariate procedure for monitoring location and dispersion with ordered categorical data [J]. | COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION , 2018 , 47 (1) : 115-128 .
MLA Wang, Junjie et al. "A univariate procedure for monitoring location and dispersion with ordered categorical data" . | COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION 47 . 1 (2018) : 115-128 .
APA Wang, Junjie , Su, Qin , Xie, Min . A univariate procedure for monitoring location and dispersion with ordered categorical data . | COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION , 2018 , 47 (1) , 115-128 .
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Latent change-point detection in ordinal categorical data EI Scopus
期刊论文 | 2018 | Quality and Reliability Engineering International
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Abstract :

Statistical process control (SPC) techniques have been widely used for online surveillance and offline diagnosis in many applications. Because of cost constraint or technical difficulty, it is quite common that the quality of products or service is measured by ordinal factors with ordered attribute levels such as excellent, acceptable, and unacceptable. This article studies phase I analysis of such ordinal categorical processes to identify change points. By assuming that attribute levels are determined by a latent continuous variable, this work suggests a modified log-linear model to characterize ordinal information among the attribute levels. Then a change-point detection method is proposed on the basis of the generalized likelihood ratio test (GLRT). Simulation results prove the method's strong detection power, high diagnostic accuracy, and robustness under various distributions of the latent variable. © 2018 John Wiley & Sons, Ltd.

Keyword :

Change point detection Continuous variables Generalized Likelihood Ratio Test Generalized likelihood-ratio tests Loglinear model Phase I analysis Statistical process controls (SPC) Technical difficulties

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GB/T 7714 Wang, Junjie , Ding, Dong , Su, Qin . Latent change-point detection in ordinal categorical data [J]. | Quality and Reliability Engineering International , 2018 .
MLA Wang, Junjie et al. "Latent change-point detection in ordinal categorical data" . | Quality and Reliability Engineering International (2018) .
APA Wang, Junjie , Ding, Dong , Su, Qin . Latent change-point detection in ordinal categorical data . | Quality and Reliability Engineering International , 2018 .
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Multivariate Ordinal Categorical Process Control Based on Log-Linear Modeling EI SCIE Scopus
期刊论文 | 2017 , 49 (2) , 108-122 | JOURNAL OF QUALITY TECHNOLOGY | IF: 2.306
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Abstract :

In many applications, the quality of products or services tends to be measured by multiple categorical characteristics, each of which is classified into attribute levels such as good, marginal, and bad. Here there is usually natural order among these attribute levels. However, traditional monitoring techniques ignore such order among them. By assuming that each ordinal categorical quality characteristic is determined by a latent continuous variable, this paper incorporates the ordinal information into an extended log-linear model and proposes a multivariate ordinal categorical control chart based on a generalized likelihood-ratio test. The proposed chart is efficient in detecting location shifts and dependence shifts in the corresponding latent continuous variables of ordinal categorical characteristics based on merely the attribute-level counts of the ordinal characteristics.

Keyword :

Contingency Table Statistical Process Control Location Shift Latent Variable Dependence Shift

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GB/T 7714 Wang, Junjie , Li, Jian , Su, Qin . Multivariate Ordinal Categorical Process Control Based on Log-Linear Modeling [J]. | JOURNAL OF QUALITY TECHNOLOGY , 2017 , 49 (2) : 108-122 .
MLA Wang, Junjie et al. "Multivariate Ordinal Categorical Process Control Based on Log-Linear Modeling" . | JOURNAL OF QUALITY TECHNOLOGY 49 . 2 (2017) : 108-122 .
APA Wang, Junjie , Li, Jian , Su, Qin . Multivariate Ordinal Categorical Process Control Based on Log-Linear Modeling . | JOURNAL OF QUALITY TECHNOLOGY , 2017 , 49 (2) , 108-122 .
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Production and transportation outsourcing decisions in the supply chain under single and multiple carbon policies EI SSCI SCIE Scopus
期刊论文 | 2017 , 141 , 1109-1122 | JOURNAL OF CLEANER PRODUCTION | IF: 5.651
WoS CC Cited Count: 13 SCOPUS Cited Count: 19
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Abstract :

Cap-and-trade and carbon tax are the two main policies to reduce carbon emissions. Different from the previous literature and practice, this paper examines the production and transportation outsourcing problems of a two-echelon supply chain under the cap-and-trade policy and joint cap-and-trade and carbon tax policy. Enterprise operations are divided into the order stage and transportation outsourcing decision stage. In the order stage, the retailer sets his order schedule for the manufacturing plant for fulfillment, and in the transportation outsourcing decision stage, the manufacturer decides the optimal freight volume based on energy consumption. Furthermore, we construct a basic model without a carbon policy and two extended models with carbon policies and the optimal solutions of the models are solved. Numerical examples are provided, and the three models are compared. The results indicate that the extended model with carbon policies is more beneficial for emissions reduction, and the effect of emissions reduction gradually becomes smooth as the carbon price increases; the joint cap-and-trade and carbon tax policy is more effective for emissions reduction, especially when the carbon price is lower. These findings will be helpful to policy makers and managers. (C) 2016 Elsevier Ltd. All rights reserved.

Keyword :

Inventory management Carbon emissions Production control Carbon policy Transportation outsourcing

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GB/T 7714 Li, Jian , Su, Qin , Ma, Li . Production and transportation outsourcing decisions in the supply chain under single and multiple carbon policies [J]. | JOURNAL OF CLEANER PRODUCTION , 2017 , 141 : 1109-1122 .
MLA Li, Jian et al. "Production and transportation outsourcing decisions in the supply chain under single and multiple carbon policies" . | JOURNAL OF CLEANER PRODUCTION 141 (2017) : 1109-1122 .
APA Li, Jian , Su, Qin , Ma, Li . Production and transportation outsourcing decisions in the supply chain under single and multiple carbon policies . | JOURNAL OF CLEANER PRODUCTION , 2017 , 141 , 1109-1122 .
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Individual Creativity during the Ideation Phase of Product Innovation: An Interactional Perspective SSCI Scopus
期刊论文 | 2017 , 26 (1) , 31-48 | CREATIVITY AND INNOVATION MANAGEMENT | IF: 1.553
WoS CC Cited Count: 5 SCOPUS Cited Count: 5
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Abstract :

Although there is increasing acknowledgement that employees' creative ideas are fundamental for product innovation, and many companies use cross-functional teams to increase employee creativity, there has been little empirical testing of how individual personality and group context interactively affect individual creativity. The purpose of this study is threefold: to examine the relationship between personality and individual creativity; to assess how this relationship interacts with group diversity; and to determine whether the interaction effects between personality traits and gender diversity are mediated by individual knowledge sharing. The results of an experiment based on a sample of 142 working adults show that openness to experience and extraversion are positively related to individual creativity, whereas neuroticism and conscientiousness are negatively related to individual creativity. Furthermore, the impacts of openness to experience and extraversion on individual creativity, respectively, are moderated by both functional diversity and gender diversity. In addition, these interaction effects are mediated by individual knowledge sharing. Interestingly, this study also finds that the direction of functional diversity's moderating effects depends on the level of group diversity.

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GB/T 7714 Guo, Jing , Su, Qin , Zhang, Qian . Individual Creativity during the Ideation Phase of Product Innovation: An Interactional Perspective [J]. | CREATIVITY AND INNOVATION MANAGEMENT , 2017 , 26 (1) : 31-48 .
MLA Guo, Jing et al. "Individual Creativity during the Ideation Phase of Product Innovation: An Interactional Perspective" . | CREATIVITY AND INNOVATION MANAGEMENT 26 . 1 (2017) : 31-48 .
APA Guo, Jing , Su, Qin , Zhang, Qian . Individual Creativity during the Ideation Phase of Product Innovation: An Interactional Perspective . | CREATIVITY AND INNOVATION MANAGEMENT , 2017 , 26 (1) , 31-48 .
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Market segmentation and pricing strategies based on product platform SSCI Scopus
期刊论文 | 2017 , 29 (1) , 183-199 | ASIA PACIFIC JOURNAL OF MARKETING AND LOGISTICS | IF: 1.204
WoS CC Cited Count: 1 SCOPUS Cited Count: 3
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Abstract :

Purpose - The purpose of this paper is to examine the issue of optimal pricing strategies for two substitutable products from the same product platform and the effects of variations in product architecture. Design/methodology/approach - The authors design a product line which consists of two substitutable products and use a traditional market segmentation research framework to analyze the pricing and product design strategies. Findings - It is concluded that profit tends to rise in a centralized supply chain at the expense of market share of the integral product. In a decentralized supply chain, one product will reduce its market share so as to enhance the degree of modularity. Although enhancing the extent of integration of a product will bring in more flexibility during the design of the product line, this will do so at the expense of the market share of the other product. Originality/value - The authors find that the two products form a product line and share a common module belonging to the platform, so any changes in the modules (changes in product architecture) not only affect the product in question but also the other one in the product line.

Keyword :

Product management Marketing theory Pricing

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GB/T 7714 Su, Qin , Liu, Weiyan . Market segmentation and pricing strategies based on product platform [J]. | ASIA PACIFIC JOURNAL OF MARKETING AND LOGISTICS , 2017 , 29 (1) : 183-199 .
MLA Su, Qin et al. "Market segmentation and pricing strategies based on product platform" . | ASIA PACIFIC JOURNAL OF MARKETING AND LOGISTICS 29 . 1 (2017) : 183-199 .
APA Su, Qin , Liu, Weiyan . Market segmentation and pricing strategies based on product platform . | ASIA PACIFIC JOURNAL OF MARKETING AND LOGISTICS , 2017 , 29 (1) , 183-199 .
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Economic modelling for statistical process control subject to a general quality deterioration EI SCIE Scopus
期刊论文 | 2016 , 54 (6) , 1753-1770 | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | IF: 2.325
WoS CC Cited Count: 1
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Abstract :

The applications of control chart have traditionally focused on the detection of step shifts in process mean. However, changes are usually gradual, not as perfect step shifts. The common consideration of a shift as a step function does not always adequately describe what actually happens in practice. Hence, there is a need for more realistic assumptions to be incorporated. This paper employs a Markov chain approach and provides a way to quantitatively measure the economic performance of control charts in the presence of a more general quality deterioration mechanism. The finite production run is considered in the model as it has become a very important production mode at present and the process failure mechanism is described by geometric distribution. The chart properties, particularly on the issues of the quality deterioration mechanism, are investigated. The findings provide critical insights on the use of step shift assumption when designing control charts.

Keyword :

shift mechanism finite production runs Markov chain economic design statistical process control

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GB/T 7714 Li, Chenglong , Su, Qin , Xie, Min . Economic modelling for statistical process control subject to a general quality deterioration [J]. | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH , 2016 , 54 (6) : 1753-1770 .
MLA Li, Chenglong et al. "Economic modelling for statistical process control subject to a general quality deterioration" . | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 54 . 6 (2016) : 1753-1770 .
APA Li, Chenglong , Su, Qin , Xie, Min . Economic modelling for statistical process control subject to a general quality deterioration . | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH , 2016 , 54 (6) , 1753-1770 .
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Optimal design of a distribution-free quality control scheme for cost-efficient monitoring of unknown location EI SCIE Scopus
期刊论文 | 2016 , 54 (24) , 7259-7273 | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | IF: 2.325
WoS CC Cited Count: 4 SCOPUS Cited Count: 6
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Abstract :

Traditionally, a cost-efficient control chart for monitoring product quality characteristic is designed using prior knowledge regarding the process distribution. In practice, however, the functional form of the underlying process distribution is rarely known a priori. Therefore, the nonparametric (distribution-free) charts have gained more attention in the recent years. These nonparametric schemes are statistically designed either with a fixed in-control average run length or a fixed false alarm rate. Robust and cost-efficient designs of nonparametric control charts especially when the true process location parameter is unknown are not adequately addressed in literature. For this purpose, we develop an economically designed nonparametric control chart for monitoring unknown location parameter. This work is based on the Wilcoxon rank sum (hereafter WRS) statistic. Some exact and approximate procedures for evaluation of the optimal design parameters are extensively discussed. Simulation results show that overall performance of the exact procedure based on bootstrapping is highly encouraging and robust for various continuous distributions. An approximate and simplified procedure may be used in some situations. We offer some illustration and concluding remarks.

Keyword :

bootstrap nonparametric asymptotic normality Wilcoxon rank sum statistic cost function control chart

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GB/T 7714 Li, Chenglong , Mukherjee, Amitava , Su, Qin et al. Optimal design of a distribution-free quality control scheme for cost-efficient monitoring of unknown location [J]. | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH , 2016 , 54 (24) : 7259-7273 .
MLA Li, Chenglong et al. "Optimal design of a distribution-free quality control scheme for cost-efficient monitoring of unknown location" . | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 54 . 24 (2016) : 7259-7273 .
APA Li, Chenglong , Mukherjee, Amitava , Su, Qin , Xie, Min . Optimal design of a distribution-free quality control scheme for cost-efficient monitoring of unknown location . | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH , 2016 , 54 (24) , 7259-7273 .
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Design and Implementation of Two CUSUM Schemes for Simultaneously Monitoring the Process Mean and Variance with Unknown Parameters EI SCIE Scopus
期刊论文 | 2016 , 32 (8) , 2961-2975 | QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL | IF: 1.366
WoS CC Cited Count: 6
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Abstract :

Designing joint monitoring schemes for the mean and variance of a Gaussian process (normal distribution) using a single combined statistic instead of the traditional approach of using two separate statistics has gained many attention in recent years. Most of the existing one-chart schemes, however, assume that the true process parameters (standards) are known which is usually not practical and will lead to problems because of improper choices of statistic and control limits. In this paper, we propose two CUSUM control schemes that instinctively work well for the joint monitoring in the case of the unknown parameters by correcting the influence of the reference sample on the plotting statistic. We provide the control limits of the proposed control charts for practical implementation and also offer follow-up procedures for post-signal detection of the nature of shifts. We carry out a comprehensive simulation study to examine the performance of the schemes. When the true population parameters are unknown, we observe clear and distinct performance advantages of the proposed schemes. The empirical design issues regarding the optimal choice of the reference value of the proposed CUSUM schemes are systematically investigated. We provide beneficial recommendations for the practitioners. We also provide an example to illustrate the practical relevance of the proposed schemes. Copyright (C) 2016 John Wiley & Sons, Ltd.

Keyword :

CUSUM scheme distance chart joint monitoring max chart parameter estimation

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GB/T 7714 Li, Chenglong , Mukherjee, Amitava , Su, Qin et al. Design and Implementation of Two CUSUM Schemes for Simultaneously Monitoring the Process Mean and Variance with Unknown Parameters [J]. | QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL , 2016 , 32 (8) : 2961-2975 .
MLA Li, Chenglong et al. "Design and Implementation of Two CUSUM Schemes for Simultaneously Monitoring the Process Mean and Variance with Unknown Parameters" . | QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL 32 . 8 (2016) : 2961-2975 .
APA Li, Chenglong , Mukherjee, Amitava , Su, Qin , Xie, Min . Design and Implementation of Two CUSUM Schemes for Simultaneously Monitoring the Process Mean and Variance with Unknown Parameters . | QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL , 2016 , 32 (8) , 2961-2975 .
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