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Latent change-point detection in ordinal categorical data EI Scopus SCIE
期刊论文 | 2019 , 35 (2) , 504-516 | 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 , 2019 , 35 (2) : 504-516 .
MLA Wang, Junjie 等. "Latent change-point detection in ordinal categorical data" . | Quality and Reliability Engineering International 35 . 2 (2019) : 504-516 .
APA Wang, Junjie , Ding, Dong , Su, Qin . Latent change-point detection in ordinal categorical data . | Quality and Reliability Engineering International , 2019 , 35 (2) , 504-516 .
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SOME MONITORING PROCEDURES RELATED TO ASYMMETRY PARAMETER OF AZZALINI'S SKEW-NORMAL MODEL SCIE
期刊论文 | 2019 , 17 (1) , 1-24 | REVSTAT-STATISTICAL JOURNAL
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Abstract :

In the real world, we often observe that the underlying distribution of some Gaussian processes tends to become skewed, when some undesirable assignable cause takes place in the process. Such phenomena are common in the field of manufacturing and in chemical industries, among others, where a process deviates from a normal model and becomes a skew-normal. The Azzalini's skew-normal (hereafter ASN) distribution is a well-known model for such processes. In other words, we assume that the in-control (hereafter IC) distribution of the process under consideration is normal, that is a special case of the ASN model with asymmetry parameter zero, whereas the out-of-control (hereafter OOC) process distribution is ASN with any non-zero asymmetry parameter. In the ASN model, a change in asymmetry parameter also induces shifts in both the mean and variance, even if, both the location and scale parameters remain invariant. Traditionally, researchers consider a shift either in the mean or in variance or in both the parameters of the normal distribution. Some inference and monitoring issues related to deviation from symmetry are essential problems that are largely overlooked in literature. To this end, we propose various test statistics and design for sequential monitoring schemes for the asymmetry parameter of the ASN model. We examine and compare the performance of various procedures based on an extensive Monte-Carlo experiment. We provide an illustration based on an interesting manufacturing case study. We also offer some concluding remarks and future research problems.

Keyword :

disruption of symmetry statistical process monitoring distance skewness Monte-Carlo simulations maximum likelihood estimator skew-normal distribution

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GB/T 7714 Li, Chenglong , Mukherjee, Amitava , Su, Qin et al. SOME MONITORING PROCEDURES RELATED TO ASYMMETRY PARAMETER OF AZZALINI'S SKEW-NORMAL MODEL [J]. | REVSTAT-STATISTICAL JOURNAL , 2019 , 17 (1) : 1-24 .
MLA Li, Chenglong et al. "SOME MONITORING PROCEDURES RELATED TO ASYMMETRY PARAMETER OF AZZALINI'S SKEW-NORMAL MODEL" . | REVSTAT-STATISTICAL JOURNAL 17 . 1 (2019) : 1-24 .
APA Li, Chenglong , Mukherjee, Amitava , Su, Qin , Xie, Min . SOME MONITORING PROCEDURES RELATED TO ASYMMETRY PARAMETER OF AZZALINI'S SKEW-NORMAL MODEL . | REVSTAT-STATISTICAL JOURNAL , 2019 , 17 (1) , 1-24 .
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A multivariate sign chart for monitoring dependence among mixed-type data EI SCIE Scopus
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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基于学习效应的企业知识流程外包策略研究 CSCD
期刊论文 | 2018 , 33 (4) , 511-519 | 系统工程学报
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Abstract :

从组织学习和知识创造的视角,主要讨论企业采取知识流程外包的策略选择问题.针对于知识流程外包中所存在的两种学习模式,即知识吸收效应和干中学效应,从知识的创造过程出发,凭借成本–收益的经济分析框架对企业知识流程内部运营和外包决策进行理论建模和比较分析.结论发现:在知识流程外包中,基于企业协同合作的知识吸收效应加强了干中学效应,因此在其他条件不变的情况下,企业应该选择知识流程外包来获得所叠加的两种效应.其次,为了加强知识流程外包的绩效,企业重点是加强自身对知识吸收的能力建设.最后,为了提高两种学习效应的效果,企业应该从长期动态的角度去考虑外包决策,而非基于短期的优劣予以判断.

Keyword :

知识流程外包 学习效应 服务供应链 协同服务

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GB/T 7714 欧阳智 , 苏秦 . 基于学习效应的企业知识流程外包策略研究 [J]. | 系统工程学报 , 2018 , 33 (4) : 511-519 .
MLA 欧阳智 et al. "基于学习效应的企业知识流程外包策略研究" . | 系统工程学报 33 . 4 (2018) : 511-519 .
APA 欧阳智 , 苏秦 . 基于学习效应的企业知识流程外包策略研究 . | 系统工程学报 , 2018 , 33 (4) , 511-519 .
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基于模糊多目标规划的食品供应链质量风险控制决策研究 CSSCI-E
期刊论文 | 2018 , (1) , 30-37 | 工业工程与管理
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Abstract :

结合供应链质量管理和供应链可视性管理探讨食品供应链质量风险控制措施,考虑多级食品供应链各级参与者对供应链质量和可视性的连续影响,在需求和能力等约束下,建立模糊环境下的供应链成本最小化、质量最大化和可视性最大化的模糊多目标规划模型.采用加权上下界法及改进的模拟退火算法,得到原料供应商和物流服务商的最优组合策略和订货分配方案.使用随机算例说明模型的有效性,并给出了相关管理启示.

Keyword :

模糊多目标规划 食品供应链 质量风险控制 供应链可视性

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GB/T 7714 张文博 , 苏秦 . 基于模糊多目标规划的食品供应链质量风险控制决策研究 [J]. | 工业工程与管理 , 2018 , (1) : 30-37 .
MLA 张文博 et al. "基于模糊多目标规划的食品供应链质量风险控制决策研究" . | 工业工程与管理 1 (2018) : 30-37 .
APA 张文博 , 苏秦 . 基于模糊多目标规划的食品供应链质量风险控制决策研究 . | 工业工程与管理 , 2018 , (1) , 30-37 .
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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
WoS CC Cited Count: 1 SCOPUS Cited Count: 2
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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 :

Categorical data Dispersion Location parameter Statistical process control

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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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创造力绩效激励对产品创新中员工创造力的影响 CSSCI-C PKU
期刊论文 | 2017 , (13) , 144-152 | 科技进步与对策
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Abstract :

考察了产品创新情境下,创造力绩效激励对创新小组成员渐进性和突破性创造力的作用机制,并检验了绩效反馈和部门异质性的调节作用和知识共享的中介作用.结果表明,创造力绩效激励对渐进性创造力具有促进作用;绩效反馈和部门异质性均正向调节创造力绩效激励对渐进性创造力的影响;同时,绩效反馈的调节效应部分通过知识共享中介,部门异质性的调节效应完全通过知识共享中介;创造力绩效激励对突破性创造力具有抑制作用.

Keyword :

绩效反馈 创造力绩效 部门异质性 员工创造力 绩效激励 知识共享

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GB/T 7714 郭婧 , 苏秦 , 张谦 . 创造力绩效激励对产品创新中员工创造力的影响 [J]. | 科技进步与对策 , 2017 , (13) : 144-152 .
MLA 郭婧 et al. "创造力绩效激励对产品创新中员工创造力的影响" . | 科技进步与对策 13 (2017) : 144-152 .
APA 郭婧 , 苏秦 , 张谦 . 创造力绩效激励对产品创新中员工创造力的影响 . | 科技进步与对策 , 2017 , (13) , 144-152 .
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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
WoS CC Cited Count: 3
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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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考虑运输过程的供应链减排模型研究 CSCD CSSCI-C PKU
期刊论文 | 2017 , (2) , 78-86 | 中国管理科学
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以零售商-生产商两阶段供应链为研究对象,考虑运输过程,并将碳税内部化在运输成本中,建立包含减排投资在内的碳交易模型,通过对实施碳政策前后模型的比较分析,研究复合碳政策对供应链的影响机理.研究表明:在零售商运输与成本比小于一常数的约束下,碳税通过提高能源价格进而减少运输中碳排放;在碳配额的严格限制下,减排投资下的碳交易政策可以使得生产商成本和碳排放实现双重优化;生产商通过承担部分比例的运输费用实现上下游企业决策的统一,复合碳政策可以有效地降低生产商协调成本.最后通过算例进一步对模型进行了验证和分析.

Keyword :

碳交易 运输成本 减排投资 碳税 供应链

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GB/T 7714 李剑 , 苏秦 . 考虑运输过程的供应链减排模型研究 [J]. | 中国管理科学 , 2017 , (2) : 78-86 .
MLA 李剑 et al. "考虑运输过程的供应链减排模型研究" . | 中国管理科学 2 (2017) : 78-86 .
APA 李剑 , 苏秦 . 考虑运输过程的供应链减排模型研究 . | 中国管理科学 , 2017 , (2) , 78-86 .
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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: 26 SCOPUS Cited Count: 27
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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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