Based on the analysis of the common limitations of business processmanagement (BPM) methodologies and the requirements of small and medium sized-enterprises (SMEs),the importance of a 'performance construct' o...Based on the analysis of the common limitations of business processmanagement (BPM) methodologies and the requirements of small and medium sized-enterprises (SMEs),the importance of a 'performance construct' of BPM methodologies is identified, a six-phaseperformance-driven BPM methodology for the production and operation processes of Chinese SMEs isdeveloped. A case study on the process management of a medium-sized enterprise shows a successfulexample of running the methodology.展开更多
This article describes a sampling and estimation scheme for estimating the size of an injecting drug user (IDU) population by combining classical sampling and respondent-driven sampling procedures. It is designed to u...This article describes a sampling and estimation scheme for estimating the size of an injecting drug user (IDU) population by combining classical sampling and respondent-driven sampling procedures. It is designed to use the information from harm reduction programs, especially, Needle Exchange Programs (NEPs). The approach involves using respondent-driven sampling design to collect a sample of injecting drug users who appear at site of NEP in a certain period of time and to obtain retrospective self-report data on the number of friends among the IDUs and number of needles exchanged for each sampled injecting drug user. A methodology is developed to estimate the size of injecting drug users who have ever used the NEP during the fixed period of time, and which allows us to estimate the proportion of injecting drug users in using NEP. The size of the IDU population is estimated by dividing the total number of IDUs who using NEPs during the period of time by the estimated proportion of IDUs in the group. The technique holds promise for providing data needed to answer questions such as “What is the size of an IDU population in a city?” and “Is that size changing?” and better understand the dynamics of the IDU population. The methodology described here can also be used to estimate size of other hard-to-reach population by using information from harm reduction programs.展开更多
针对作业车间环境具有能力受限的批量调度问题(capacitated lot-sizing and scheduling problem,CLSP),提出基于改进蜜獾算法和神经网络的混合优化算法,以此来应对需求和处理时间的不确定性。首先,考虑需求和处理时间受到不确定性影响,...针对作业车间环境具有能力受限的批量调度问题(capacitated lot-sizing and scheduling problem,CLSP),提出基于改进蜜獾算法和神经网络的混合优化算法,以此来应对需求和处理时间的不确定性。首先,考虑需求和处理时间受到不确定性影响,构建基于可满足性模理论的确定性模型,引入安全库存和安全松弛两个弹性参数,以运营总成本最低为优化目标,建立需求不确定下的鲁棒优化模型;其次,提出基于改进蜜獾算法和神经网络的混合算法,利用混沌理论生成伪随机值,估计安全参数的标称值和变化幅度,提高算法速度;最后,进行示例验证,结果表明所提算法可优化调度准则,减小最优性差距,有效解决具有延期订单许可的问题,降低平均短缺成本。展开更多
文摘Based on the analysis of the common limitations of business processmanagement (BPM) methodologies and the requirements of small and medium sized-enterprises (SMEs),the importance of a 'performance construct' of BPM methodologies is identified, a six-phaseperformance-driven BPM methodology for the production and operation processes of Chinese SMEs isdeveloped. A case study on the process management of a medium-sized enterprise shows a successfulexample of running the methodology.
文摘This article describes a sampling and estimation scheme for estimating the size of an injecting drug user (IDU) population by combining classical sampling and respondent-driven sampling procedures. It is designed to use the information from harm reduction programs, especially, Needle Exchange Programs (NEPs). The approach involves using respondent-driven sampling design to collect a sample of injecting drug users who appear at site of NEP in a certain period of time and to obtain retrospective self-report data on the number of friends among the IDUs and number of needles exchanged for each sampled injecting drug user. A methodology is developed to estimate the size of injecting drug users who have ever used the NEP during the fixed period of time, and which allows us to estimate the proportion of injecting drug users in using NEP. The size of the IDU population is estimated by dividing the total number of IDUs who using NEPs during the period of time by the estimated proportion of IDUs in the group. The technique holds promise for providing data needed to answer questions such as “What is the size of an IDU population in a city?” and “Is that size changing?” and better understand the dynamics of the IDU population. The methodology described here can also be used to estimate size of other hard-to-reach population by using information from harm reduction programs.
文摘针对作业车间环境具有能力受限的批量调度问题(capacitated lot-sizing and scheduling problem,CLSP),提出基于改进蜜獾算法和神经网络的混合优化算法,以此来应对需求和处理时间的不确定性。首先,考虑需求和处理时间受到不确定性影响,构建基于可满足性模理论的确定性模型,引入安全库存和安全松弛两个弹性参数,以运营总成本最低为优化目标,建立需求不确定下的鲁棒优化模型;其次,提出基于改进蜜獾算法和神经网络的混合算法,利用混沌理论生成伪随机值,估计安全参数的标称值和变化幅度,提高算法速度;最后,进行示例验证,结果表明所提算法可优化调度准则,减小最优性差距,有效解决具有延期订单许可的问题,降低平均短缺成本。
