随着经济的发展以及市场竞争的日益加剧,生产计划的制定越来越被离散型生产企业所重视,如何分配各产品在各个时期的生产量,准确有效地制定出生产计划,使企业获得最大收益并为企业决策提供依据,是目前的重点研究内容。递阶生产计划(Hiera...随着经济的发展以及市场竞争的日益加剧,生产计划的制定越来越被离散型生产企业所重视,如何分配各产品在各个时期的生产量,准确有效地制定出生产计划,使企业获得最大收益并为企业决策提供依据,是目前的重点研究内容。递阶生产计划(Hierarchical Production Planning,HPP)是一种常见的处理多品种制造业生产计划与调度问题的方法,由于产品市场需求的不确定性,单纯地确定型递阶生产计划不能为企业提供稳定可行的生产计划,对此在递阶生产计划中引入模糊规划来处理不确定性问题,建立了模糊递阶生产计划模型,引入某灯具制造厂的实际数据,然后用运筹学优化的软件Xpress-MP进行求解,为企业提供良好的生产决策。展开更多
为解决卷烟生产计划优化问题,根据卷烟生产工艺及产品特点,基于递阶生产计划(Hierarchical Production Planning,HPP)方法设计了卷烟生产计划的分层优化框架。该框架包括3层,最上层为总生产计划层,确定较长周期内产品族的生产安排;中间...为解决卷烟生产计划优化问题,根据卷烟生产工艺及产品特点,基于递阶生产计划(Hierarchical Production Planning,HPP)方法设计了卷烟生产计划的分层优化框架。该框架包括3层,最上层为总生产计划层,确定较长周期内产品族的生产安排;中间层为卷包分组计划层,确定卷包分组中各牌号的中长周期计划;最下层为制丝批次计划层,确定制丝生产批次投料顺序及时间。以总生产计划层为例,建立数学模型并利用动态规划方法求解,采用实际生产数据对该模型及求解方法的有效性进行仿真验证,结果表明:仿真数据所表示的平均库存水平和总生产成本比实际生产数据分别降低60%和30%以上,所建立的总生产计划模型优化效果显著。该方法为实现卷烟生产的成本最优化提供了参考。展开更多
Interpretative structural model(ISM) can transform a multivariate problem into several sub-variable problems to analyze a complex industrial structure in a more efficient way by building a multi-level hierarchical str...Interpretative structural model(ISM) can transform a multivariate problem into several sub-variable problems to analyze a complex industrial structure in a more efficient way by building a multi-level hierarchical structure model. To build an ISM of a production system, the partial correlation coefficient method is proposed to obtain the adjacency matrix, which can be transformed to ISM. According to estimation of correlation coefficient, the result can give actual variable correlations and eliminate effects of intermediate variables. Furthermore, this paper proposes an effective approach using ISM to analyze the main factors and basic mechanisms that affect the energy consumption in an ethylene production system. The case study shows that the proposed energy consumption analysis method is valid and efficient in improvement of energy efficiency in ethylene production.展开更多
文摘随着经济的发展以及市场竞争的日益加剧,生产计划的制定越来越被离散型生产企业所重视,如何分配各产品在各个时期的生产量,准确有效地制定出生产计划,使企业获得最大收益并为企业决策提供依据,是目前的重点研究内容。递阶生产计划(Hierarchical Production Planning,HPP)是一种常见的处理多品种制造业生产计划与调度问题的方法,由于产品市场需求的不确定性,单纯地确定型递阶生产计划不能为企业提供稳定可行的生产计划,对此在递阶生产计划中引入模糊规划来处理不确定性问题,建立了模糊递阶生产计划模型,引入某灯具制造厂的实际数据,然后用运筹学优化的软件Xpress-MP进行求解,为企业提供良好的生产决策。
文摘为解决卷烟生产计划优化问题,根据卷烟生产工艺及产品特点,基于递阶生产计划(Hierarchical Production Planning,HPP)方法设计了卷烟生产计划的分层优化框架。该框架包括3层,最上层为总生产计划层,确定较长周期内产品族的生产安排;中间层为卷包分组计划层,确定卷包分组中各牌号的中长周期计划;最下层为制丝批次计划层,确定制丝生产批次投料顺序及时间。以总生产计划层为例,建立数学模型并利用动态规划方法求解,采用实际生产数据对该模型及求解方法的有效性进行仿真验证,结果表明:仿真数据所表示的平均库存水平和总生产成本比实际生产数据分别降低60%和30%以上,所建立的总生产计划模型优化效果显著。该方法为实现卷烟生产的成本最优化提供了参考。
基金Supported by the National Natural Science Foundation of China(61374166,6153303)the Doctoral Fund of Ministry of Education of China(20120010110010)the Fundamental Research Funds for the Central Universities(YS1404,JD1413,ZY1502)
文摘Interpretative structural model(ISM) can transform a multivariate problem into several sub-variable problems to analyze a complex industrial structure in a more efficient way by building a multi-level hierarchical structure model. To build an ISM of a production system, the partial correlation coefficient method is proposed to obtain the adjacency matrix, which can be transformed to ISM. According to estimation of correlation coefficient, the result can give actual variable correlations and eliminate effects of intermediate variables. Furthermore, this paper proposes an effective approach using ISM to analyze the main factors and basic mechanisms that affect the energy consumption in an ethylene production system. The case study shows that the proposed energy consumption analysis method is valid and efficient in improvement of energy efficiency in ethylene production.
