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高质量发展背景下精益管理创新评价与提升策略 被引量:1
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作者 张洪亮 甘诗新 +1 位作者 李倩茹 周晶晶 《安徽工业大学学报(社会科学版)》 2020年第6期16-19,共4页
针对现有精益管理创新评价研究的不足,从产品设计、物流与采购、生产过程、顾客满意及持续改善等五个维度构建了精益管理创新评价体系。为保障指标权重的合理性,采用组合权重法确定指标权重,同时考虑到评价过程中存在不确定性信息,引入... 针对现有精益管理创新评价研究的不足,从产品设计、物流与采购、生产过程、顾客满意及持续改善等五个维度构建了精益管理创新评价体系。为保障指标权重的合理性,采用组合权重法确定指标权重,同时考虑到评价过程中存在不确定性信息,引入了未确知评价模型。以三家制造企业为例进行了实证研究,并给出了促进企业精益管理水平提升的建议与策略。 展开更多
关键词 精益管理 高质量发展 组合权重法 未确知评价模型
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Strong Law of Large Numbers and Complete Convergence for Sequences of -Mixing Random Variables 被引量:3
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作者 gan shixin CHEN Pingyan QIU Dehua 《Wuhan University Journal of Natural Sciences》 CAS 2007年第2期211-217,共7页
We give some theorems of strong law of large numbers and complete convergence for sequences of φ-mixing random variables. In particular, Wittmann's strong law of large numbers and Teicher's strong law of large nnum... We give some theorems of strong law of large numbers and complete convergence for sequences of φ-mixing random variables. In particular, Wittmann's strong law of large numbers and Teicher's strong law of large nnumbers for independent random variables are generalized to the case of φ -minxing random variables. 展开更多
关键词 strong law of large numbers complete convergence φ-mixing random variable sequence Wittmann's strong law oflarge numbers Teicher's strong law of large numbers
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Some Limit Theorems for Weighted Sums of Random Variable Fields 被引量:2
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作者 gan shixin CHEN Pingyan 《Wuhan University Journal of Natural Sciences》 CAS 2006年第2期323-327,共5页
Let{Xn^-,n^-∈N^d}be a field of Banach space valued random variables, 0 〈r〈p≤2 and{an^-,k^-, (n^-,k^-) ∈ N^d × N^d ,k^-≤n^-} a triangular array of real numhers, where N^d is the d-dimensional lattice (d... Let{Xn^-,n^-∈N^d}be a field of Banach space valued random variables, 0 〈r〈p≤2 and{an^-,k^-, (n^-,k^-) ∈ N^d × N^d ,k^-≤n^-} a triangular array of real numhers, where N^d is the d-dimensional lattice (d≥1 ). Under the minimal condition that {||Xn^-|| r,n^- ∈N^d} is {|an^-,k^-|^r,(n^-,k^-)} ∈ N^d ×N^d,k^-≤n^-}-uniformly integrable, we show that ∑(k^-≤n^-)an^-,k^-,Xk^-^(L^r(or a,s,)→0 as |n^-|→∞ In the above, if 0〈r〈1, the random variables are not needed to be independent. If 1≤r〈p≤2, and Banach space valued random variables are independent with mean zero we assume the Banaeh space is of type p. If 1≤r≤p≤2 and Banach space valued random variables are not independent we assume the Banach space is p-smoothable. 展开更多
关键词 Banaeh space of type p multidimensional index strong law of large numbers L" convergence weightedsums of random variable fields martingale difference array
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On the Hàjek-Rènyi Inequality
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作者 gan shixin QIU Dehua 《Wuhan University Journal of Natural Sciences》 CAS 2007年第6期971-974,共4页
In this paper we give an elementary and unified proof of the Hajek-Renyi inequality, and get a general version of this inequality which not only covers the all known results but also derives some new results.
关键词 Hajek-Renyi inequality NA sequences m-dependent sequences φ-mixing sequences
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Almost Sure Convergence of Weighted Sums of NA Sequences
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作者 Cheng Riyan gan shixin 《Wuhan University Journal of Natural Sciences》 CAS 1998年第1期11-16,共6页
For double arrays of constants {a ni, 1≤i≤k n, n≥1} and NA r.v. 's {X n, n≥1}, conditions for almost sure convergence of are given. Both casesk n ↑ ∞ andk n=∞ are treated. A Marcinkiewicz-type theorem for ... For double arrays of constants {a ni, 1≤i≤k n, n≥1} and NA r.v. 's {X n, n≥1}, conditions for almost sure convergence of are given. Both casesk n ↑ ∞ andk n=∞ are treated. A Marcinkiewicz-type theorem for i. d. NA sequences is obtained as a special case. 展开更多
关键词 a. s. convergence NA sequence weighted sum
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Some Remarks for Sequences of Pairwise NQD Random Variables 被引量:3
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作者 gan shixin CHEN Pingyan 《Wuhan University Journal of Natural Sciences》 CAS 2010年第6期467-470,共4页
We first obtain the Petrov theorem for pairwise NQD(negative quadrant dependent) random variables which may have different distributions.Some well-known results are improved and extended.Next,we give an example to c... We first obtain the Petrov theorem for pairwise NQD(negative quadrant dependent) random variables which may have different distributions.Some well-known results are improved and extended.Next,we give an example to clarify one of the important properties of sequences of pairwise NQD random variables,so that we can point out some mistakes that have appeared in recent published papers. 展开更多
关键词 pairwise NQD random variable sequence convergence in probability almost sure convergence Marcinkiewicz type weak law of law numbers
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Strong Stability of Linear Forms in φ-Mixing Random Variables 被引量:2
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作者 gan shixin 《Wuhan University Journal of Natural Sciences》 CAS 2009年第1期6-10,共5页
In this paper some new results of strong stability of linear forms in φ-mixing random variables are given. It is mainly proved that for a sequence of φ-mixing random variables {xn,n≥1} and two sequences of positive... In this paper some new results of strong stability of linear forms in φ-mixing random variables are given. It is mainly proved that for a sequence of φ-mixing random variables {xn,n≥1} and two sequences of positive numbers {an,n≥1} and {bn,n≥1} there exist d dn∈R,n = 1,2,..., such that bn^-1∑i=1^naixi-dn→0 a.s.under some suitable conditions. The results extend and improve the corresponding theorems for independent identically distributed random variables. 展开更多
关键词 strong stability linear form φ-mixing random variable sequence strong law of large numbers
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Rosenthal Inequality for NOD Sequences and Its Applications
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作者 gan shixin CHEN Pingyan QIU Dehua 《Wuhan University Journal of Natural Sciences》 CAS 2011年第3期185-189,共5页
Rosenthal inequality for NOD (negatively' orthant dependent) random variable sequences is established. As its applications, two theorems of complete convergence of weighted sums for arrays of NOD random variables a... Rosenthal inequality for NOD (negatively' orthant dependent) random variable sequences is established. As its applications, two theorems of complete convergence of weighted sums for arrays of NOD random variables are given, which extend the corresponding known results. 展开更多
关键词 Rosenthal inequality ARRAY NOD (negatively orthant dependent) random variable sequence complete convergence
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