共查询到20条相似文献，搜索用时 406 毫秒
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供应链内各企业的协调问题是供应链管理的核心问题。针对一个由供应商--制造商--零售商构成的三层供应链,在考虑市场需求为模糊变量的情况下,通过不确定理论分别建立了基于可信度分布的集成供应链模型和收益共享契约模型,并求出最优策略,进而验证结果的正确性。结果表明,零售商以及制造商的最优订购量在模糊需求中心点的左、右浮动。此外,不同的收益分配系数对应不同的批发价格策略;通过选取适当的收益分配系数可以实现供应链各成员之间的完美协调。 相似文献
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基于多个决策变量的供应链契约协调研究 总被引：3，自引：0，他引：3
当供应链上存在订货、促销努力多个决策变量时，为了协调面临不确定需求零售商的订货和促销努力决策活动．需要根据需求能否被观察或促销努力成本能否被确认，结合回购契约，分别设计销售折扣、促销努力成本共享等形式更为复杂的契约。 相似文献
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不确定需求及WTP差异下的再制造回收模式选择 总被引：1，自引：0，他引：1
在新产品及再制造产品的需求均为不确定的情形下,考虑了两种产品之间消费者支付意愿的差异性,分别建立了制造商回收、零售商回收及第三方回收三种不同回收模式下的再制造闭环供应链模型,并给出求解的优化条件,然后利用数值仿真对三种回收模型进行了求解和比较分析。结果表明,制造商主导的再制造闭环供应链中,第三方回收模式下制造商利润最高,制造商回收模式下新产品及再制造产品的零售价均最低,制造商利润、零售商利润及渠道总利润随再制造产品的消费者支付意愿的增加先减少后增加。 相似文献
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为了优化网络结构,寻求最佳配送策略,最终找出成本最小的供应链,针对需求拖动式供应链中,多供应商、多产品、多客户分销配送网络的优化设计问题,在考虑需求分配的情况下,提出了分销配送网络的优化模型 相似文献
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供应商是供应链的源头,对于整个链条起着非常重要的作用,特别是低碳供应链,选择合适的供应商可以有效控制整个供应链上的碳排放。但是实际情况复杂多变,往往会出现模糊需求、采购多种产品以及多个供应商的情况。同时考虑以上几种情况及碳排放因素并提出一种集成方法,即:第一阶段利用模糊逼近于理想值的排序方法 (FTOPSIS)计算每个供应商提供不同产品的价值;第二阶段把第一阶段所得到价值作为其中一个目标放入模糊多目标规划中确定最优订购量。最后,运用一个实例验证了模型的科学实用性。 相似文献
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为帮助政府更好地制定政府差别补贴政策,在考虑消费者对于新产品和再制造品不同接受度的基础上,建立差别权重补贴下考虑消费者异质需求的闭环供应链决策模型,进而设计闭环供应链契约协调机制,对闭环供应链决策进行优化。最后,利用算例来验证模型的有效性。研究结果表明,差别权重补贴会形成再制造品对新产品的挤兑效应;消费者对再制造品的接受度的增加会促进再制造品需求量和闭环供应链整体利润的增加;当闭环供应链契约比例系数0.5γ_10.75时,可使闭环供应链系统实现帕累托改进。 相似文献
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基于混合目标模糊优选动态规划的动态物流联盟伙伴选择模型 总被引：2，自引：0，他引：2
针对动态物流联盟合作伙伴选择的特点,提出一种将模糊优选理论与动态规划法相结合的合作伙伴选择方法。该方法在二元对比的基础上,确定模糊决策集优越性二元对比矩阵,并结合语气算子,定量标度定性目标的相对优属度。利用两级模糊优选模型,综合计算候选伙伴关于定性与定量目标的相对优属度。基于物流环节的阶段划分,结合动态规划的基本思想,运用决策序列相对优属度总和最大法,求解动态物流联盟合作伙伴的最优化组合。最后,通过实例仿真,验证了该方法的可行性和有效性。 相似文献
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Wen-Jer Chang Cheung-Chieh Ku Chia-Hao Chang 《Journal of The Franklin Institute》2012,349(8):2664-2686
This paper presents a relaxed scheme of fuzzy controller design for continuous-time nonlinear stochastic systems that are constructed by the Takagi–Sugeno (T–S) fuzzy models with multiplicative noises. Through Nonquadratic Lyapunov Functions (NQLF) and Non-Parallel Distributed Compensation (Non-PDC) control law, the less conservative Linear Matrix Inequality (LMI) stabilization conditions on solving fuzzy controllers are derived. Furthermore, in order to study the effects of stochastic behaviors on dynamic systems in real environments, the multiplicative noise term is introduced in the consequent part of fuzzy systems. For decreasing the conservatism of the conventional PDC-based fuzzy control, the NQLF stability synthesis approach is developed in this paper to obtain relaxed stability conditions for T–S fuzzy models with multiplicative noises. Finally, some simulation examples are provided to demonstrate the validity and applicability of the proposed fuzzy controller design approach. 相似文献
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Wei Zheng Hongbin Wang Changchun Hua Zhiming Zhang Hongrui Wang 《Journal of The Franklin Institute》2018,355(16):7962-7984
This paper addresses the interval type-2 fuzzy robust dynamic output-feedback control problem for a class of nonlinear continuous-time systems with parametric uncertainties and immeasurable premise variables. First, the parametric uncertainties are assumed to be a subsystem based on the control input matrix and output matrix, and described as a linear fractional. Secondly, the nonlinear continuous-time systems are described by the interval type-2 fuzzy model. Thirdly, the new dynamic output feedback controller is designed based on the interval type-2 fuzzy model and the linear fractional (parametric uncertainties), the sufficient conditions for robust stabilization are given in the form of linear matrix inequalities (LMIs). Compared with previous work, the developed methods not only have abilities to handle the fuzzy system with immeasurable premise variables but also can deal with the parametric uncertainties effectively. The results are further extended to a mobile robot case and a chemical process case. Finally, two simulation examples are performed to show the effectiveness of the propose methods. 相似文献
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A class of networked nonlinear control systems with norm-bounded uncertainties is presented in this paper. The class is represented by Takagi–Sugeno (T-S) fuzzy models with packet processing. The network loop delay is considered either as known delay or random delay. For the former case, we develop conditions that guarantee the robust asymptotic stability and state-feedback stabilization with strict dissipativity and cast the results in linear matrix inequality (LMI) framework. Next employing a probabilistic-based delay partitioning method to deal with random delay, we establish novel LMI criteria for strict dissipative stability analysis and feedback synthesis. The efficacy of the ensuing techniques is demonstrated by numerical solution of typical examples and Mont Carlo simulation. 相似文献
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《Journal of The Franklin Institute》2022,359(15):7818-7846
In this study, the problem of observer-based control for a class of nonlinear systems using Takagi-Sugeno (T-S) fuzzy models is investigated. The observer-based model predictive event-triggered fuzzy reset controller is constructed by a T-S fuzzy state observer, an event-triggered fuzzy reset controller, and a model predictive mechanism. First, the proposed controller utilizes the T-S fuzzy model and is constructed based on state observations and discrete sampling output, which can greatly reduce the occupation of communication resources. Then, the model predictive strategy for reset law design is designed in this paper. With a reasonable reset of the controller state at certain instants, the performance of the reset control systems is improved. Finally, the validity of the proposed method is illustrated by simulation. The merits of the proposed controller in improving transient performance and reducing the communication occupation are demonstrated by comparing its results with the output feedback fuzzy controller and the first-order fuzzy reset controller. 相似文献
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《Journal of The Franklin Institute》2023,360(6):4091-4113
This paper focuses on an adaptive fuzzy fixed-time control problem for stochastic nonstrict nonlinear systems with unknown dead-zones by using dynamic surface control (DSC) technology. Fuzzy logic systems (FLSs) and DSC technology are used to approximate nonlinear functions and reduce the computational complexity, respectively. At the same time, the influence of the dead-zone disturbance is offset by transforming the dead-zone model into the nonlinear model that can be approximated by the FLSs. Then, based on the fixed-time stability theory, an adaptive fuzzy fixed-time tracking control strategy is proposed, which can ensure semi-global practical fixed-time stability of the system and the tracking error converging to a small neighborhood near the origin. Finally, two simulation examples are given to prove the effectiveness of the proposed control strategy. 相似文献
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《Journal of The Franklin Institute》2022,359(2):952-966
Robots are commonly used to perform repetitive or dangerous tasks, and these systems integrate different components that increase the complexity of their dynamic model. Thus, in order to ensure an acceptable tracking performance, the implementation of robust control strategies should be considered. This paper proposes a discrete-time model-free-implementation controller, which relies on the well-known structural properties of mechanical systems, but it does not consider any knowledge on the values of the system parameters. Besides, a fuzzy logic formulation is considered to compensate external disturbances. The outputs of the fuzzy inference system are adapted online to improve the closed-loop response. Finally, representatives simulation and experiments are analyzed to demonstrated the feasibility of the proposed approach. 相似文献
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A new and systematic method to design digital controllers for uncertain chaotic systems with structured uncertainties is presented in this paper. Takagi-Sugeno (TS) fuzzy model is used to model the chaotic dynamic system, while the uncertainties are decomposed such that the uncertain chaotic system can be rewritten as a set of local linear models with an additional disturbed input. Conventional control techniques are utilized to develop the continuous-time controllers first. Then, the digital controllers are obtained as the digital redesign of the continuous-time controllers using the state-matching approach. The performance of the proposed controller design is illustrated through numerical examples. 相似文献