基于特殊路径的局内车辆路径问题混合策略研究

针对运输途中遇到的某一或一系列无法预知的堵塞事件对决策者路径选择策略的影响,考虑堵塞只发生在一条特殊路径上且可恢复的情况,采用局内竞争分析的思想,建立了局内车辆路径问题的数学模型,对车辆到达堵塞点时堵塞恢复时间未知这一情形下的路径选择问题,提出了两种混合策略,给出了相应的竞争比,并对其竞争性能进行了理论分析。     

Procurement strategies for lost-sales inventory systems with all-units discounts

Despite the prevalence of all-units discounts in procurement contracts, these discounts pose a technical challenge to analyze procurement strategies due to neither concave nor convex ordering costs. In this paper, we consider the optimal procurement strategies with all-units discounts under the lost-sales setting. By assuming log-concave demands, we find that the optimal procurement strategies have a generalized Q-jump (s, S) structure by introducing a new notion of Q-jump single-crossing. In particular, a sufficient condition is provided for degenerating the optimal procurement strategies from a generalized Q-jump (s, S) structure into a Q-jump (s, S) structure, which is definitely optimal for the single-period problem. Extensive numerical results suggest that the Q-jump (s, S) policy as a heuristic performs considerably well when its optimality sufficient condition is violated. Our results can be extended to systems with multi-break all-units discounts, and systems with all-units discounts on batch ordering.     

Robust equilibrium excess-of-loss reinsurance and CDS investment strategies for a mean–variance insurer with ambiguity aversion

This paper considers the robust equilibrium reinsurance and investment strategies for an ambiguity-averse insurer under a dynamic mean–variance criterion. The insurer is allowed to purchase excess-of-loss reinsurance and invest in a financial market consisting of a risk-free asset and a credit default swap (CDS). Following a game theoretic approach, robust equilibrium strategies and equilibrium value functions for the pre-default case and the post-default case are derived, respectively. For the ambiguity-averse insurer, in general the equilibrium strategies can be characterized by unique solutions to some algebraic equations. For the degenerate case with an ambiguity-neutral insurer, closed-form expressions of equilibrium strategies and equilibrium value functions are obtained. Numerical examples demonstrate that the consideration of model uncertainty and CDS investment improves the insurer’s utility. In this regard, our paper establishes theoretical and numerical support for the importance of ambiguity aversion, credit risk and their interplay in insurance business.     

Periodic solution and its stability of a delayed Beddington‐DeAngelis type predator‐prey system with discontinuous control strategy

This paper investigates the periodic solution of a delayed Beddington‐DeAngelis (BD) type predator‐prey model with discontinuous control strategy. Firstly, the regularity and visibility analysis of the delayed predator‐prey model is carried out by using the principle of differential inclusion. Secondly, the positiveness and boundeness of the solution is discussed by employing the comparison theorem. Based on the boundary conditions of the model and the Mawhin‐like coincidence theorem, it is shown that the solution of the delayed BD system is asymptotically stable in finite time. Furthermore, it is found that there exists at least one periodic solution of the nonautonomous delayed predator‐prey model by using the principle of topological degree and set value mapping. Specially, when the nonautonomous delayed BD system degenerates into an autonomous system, some criteria are obtained to guarantee the convergence behavior of the harvesting solutions for the corresponding autonomous delayed BD system. Finally, numerical examples are given to demonstrate the applicability and effectiveness of main results. It is worthy to point out that the discontinuous control strategy is superior to the continuous harvesting policies adopted in existing literature.     

竞争型“以旧换再”闭环供应链策略选择及生产决策研究

针对两阶段闭环供应链系统,研究了古诺竞争型闭环供应链中的“以旧换再”策略选择问题。研究发现:(1)企业如何及何时实施“以旧换再”策略取决于自身及竞争企业的再制造水平。再制造水平不仅影响了企业的“以旧换再”数量,同时还会影响产品市场份额及利润。(2)“以旧换再”策略可以提高企业竞争力,增加企业产品市场份额和提高收益;(3)提高 “以旧换再”补贴及再制造产品接受度, 降低“二手市场”价格,均可以降低企业实施“以旧换再”策略和提高企业的“以旧换再”数量。     

环境规制、环境研发与绿色技术进步

为鼓励和引导绿色技术发展,驱动预防性技术和处理性技术协同进步,有必要开发环境规制的绿色技术进步导向功能,并探究其传导机理。论文通过建立双寡头同时博弈模型对环境规制、环境研发与绿色技术进步进行关联分析。研究表明:环境研发是环境规制推动绿色技术进步的重要传导路径;环境补贴力度会显著影响环境规制政策组合的技术进步效果;绿色技术进步导向的环境规制的政策组合存在一个普适性较强的应用策略;环境税和环境补贴的规制政策组合能够有效增进社会福利,具体表现为通过污染预防技术和污染处理技术的协同进步带来的产量增加、生产成本减少、污染产生量减少以及污染处理量增加。     

SFE-SSD: 浅层特征增强的SSD算法在小目标检测问题中的研究与应用

SSD (Single Shot Multibox Dectetor)算法由于具有高速且高精度的检测性能,是目前最好的目标检测算法之一.但由于提取检测框的特征层的特征信息不足, SSD算法在小目标检测任务中表现不佳.为了解决这个问题,目前大部分方法以严重牺牲检测速度为代价提升目标检测模型的精度. 本文提出了SFE-SSD (Shallow Feature Enhancement SSD)提升SSD模型在小目标检测任务中的性能.首先我们采用反卷积操作对SSD算法中检测框金字塔特征层的最浅特征层进行特征扩张.接着通过特征融合机制对扩张后的特征层进行特征增强操作.浅层特征增强策略与SSD 的原始框提取金字塔特征层是并行结构,一定程度上是可以减少检测速度的损失.实验结果显示,我们的方法在PASCAL VOC 2007数据库上精度达到了78.4\%mAP高于SSD算法1.2\%,检测速度达到了81帧/秒,并且在小目标检测任务中有着显著的提升.     

Finite time control of a class of nonlinear switched systems in spite of unknown parameters and input saturation

This article is devoted to the problem of robust stabilization of uncertain nonlinear switched systems with canonical structure. It is assumed that the constant parameters of the subsystems are unknown and cannot be adopted in the controller design. In addition, the dynamics of the subsystems are perturbed via modeling errors and external disturbances. The effects of unknown actuator saturation are compensated via proper adaptive control signals. The derived controller is based on the terminal sliding mode theory and does not need any prior knowledge about the bounds of the lumped uncertain terms. It is proved that once the system states reach the prescribed sliding manifold in a finite time interval, the whole system becomes insensitive to both the lumped uncertainties and the switching dynamics of the system. The common assumption of having known quadratic Lyapunov functions for the subsystems is relaxed and the derived adaptive approach does not force any limitation on the switching signal of the system. Subsequently, non-conservative conditions are provided to guarantee the global finite time bounded stability of the equilibrium state for the overall uncertain nonlinear switched system under arbitrary switching signals. A numerical computer simulation demonstrates the robust performance of the proposed controller.     

基于质量分级的生鲜农产品供应链的定价与保鲜策略研究

为了有效降低生鲜农产品损耗,保障流通与销售过程中生鲜农产品的品质及安全,解决消费者对生鲜农产品品质及其新鲜度的高追求与生鲜农产品冷链物流成本过高导致保鲜投入不足之间的矛盾,文中以价格和新鲜度为市场需求的主要影响因素,分别在产销地均不分级、销地分级和产地分级三种质量分级模式下,构建了供应商和零售商的利润函数,采用stackelberg博弈求解得到各自的最优定价策略和最优保鲜策略.对不同质量分级模式下的定价策略和保鲜策略进行对比分析显示,产地分级模式下的定价策略有利于增加市场需求及市场主体的利润;产地分级模式下的保鲜策略在控制损耗的效果和控制保鲜的成本上都优于其他模式.     

竞争情形下服务商质量保证策略研究

质量保证策略是服务商获取竞争力的重要手段之一。本文在考虑服务商及其竞争对手的质量承诺水平和质量承诺补偿对其服务需求影响的基础上,构建了质量承诺水平、质量承诺补偿、质量承诺水平和质量承诺补偿三种竞争情形下的博弈模型,并系统分析了不同模型下的质量保证策略。研究发现:一旦有服务商提高质量承诺水平或质量承诺补偿,在质量承诺水平竞争模型下,其他服务商可适当地降低质量承诺水平,而在质量承诺补偿竞争模型下,其他服务商会同时提高质量承诺补偿。此外,在质量承诺水平和质量承诺补偿竞争模型下,若质量承诺水平的成本系数满足一定条件,各个服务商之间会存在纳什均衡。本文对服务市场竞争情形下服务商质量保证策略的制定具有一定的实践意义。