努力效应下订单农业供应链融资中的政府补贴机制

本研究考虑一个农户和一个销售公司组成的订单农业供应链，其中，农户存在资金约束且农产品产出具有随机性。在政府不同农业补贴策略下，构建无补贴、补贴银行、补贴农户和补贴公司四种补贴策略下农户和公司的序贯博弈模型，研究不同补贴策略下的最优决策、收益以及社会福利。并在假设政府补贴支出相等的情况下，比较分析了不同补贴策略的补贴效果。研究表明：不同补贴策略下的订单农业供应链的最优决策，收益以及社会福利与产出波动性、资金期望收益水平负相关，与消费者的敏感系数和政府补贴率正相关，且产出波动性、资金期望收益水平、消费者的敏感系数和政府补贴率的变化不影响它们的大小排序。无论政府补贴谁，有政府补贴策略情况下，订单农业供应链的最优决策，收益以及社会福利高于无政府补贴策略时的情况，缓解农户融资压力，且在政府补贴银行时，农户的生产投入量、公司的促销努力水平和它们的收益以及社会福利最大。资金期望收益水平和消费者敏感系数影响政府的补贴率。     

价格和服务双因素影响的供应链协调决策模型研究

以单个制造商和存在竞争的两个零售商组成的供应链结构模型为研究对象,建立价格和服务两个重要因素影响的市场需求函数,研究供应链协调决策模型。以销售价格、服务质量和制造商批发价格作为三个决策变量,分析集中决策和分散决策两种情景的最优策略,研究收益共享、服务成本分担、收益共享成本分担等三种不同契约的供应链协调问题,并使用数值仿真方法,分析了相关参数变化对系统协调的影响。仿真结果表明:收益共享契约和成本分担契约需满足一定条件才能达到供应链协调,但其效果不一定实现帕累托最优;收益共享和成本分担契约可实现供应链协调,但收入共享系数需在合理区间取值;改进的收益共享成本分担契约能够避免共享系数的盲区,更加有效地达到供应链协调,保持供应链良好运行。     

延期支付与订购量相关的易腐产品库存决策模型

本文研究了延期支付与订购量相关的易腐产品库存决策的问题.在易腐率很小的情况下,利用二阶泰勒展开式、矩阵论及优化技术方法,获得了最优缺货时间、最优订购周期及最优零售价格解析解;并在易腐率比较大的情况下,利用内点算法,获得了零售商最优决策数值解.数值实验分析了各参数对最优决策的影响.     

关于国民生产总值最优的凸二次规划模型

本文通过在文［１］的模型中引入中间消耗系数，建立追求国民生产总值最优的宏观经济凸二次规划模型，并指出实施合理的宏观调控可以实现企业、产业、国家同时达到最优．     

“公司+农户”型订单农业供应链的政府税收补贴机制

基于“公司+农户”型订单农业背景,引入“随行就市,保底收购”的合约价格方式并考虑农产品流通中的数量损耗,探究了政府向公司征税并将税收收入补贴给农户对于订单农业供应链决策及运作的影响。首先,在政府对农户的补贴系数外生时,以政府征税不补贴为基准模型,对比分析了政府征税不补贴和征税补贴两种情形下的均衡结果,发现:若公司对农产品深加工,则进项税率小于销项税率,政府对农户进行税收补贴,可激励农户提高生产量并促使公司降低保底价格,进而增加双方期望收益,即征税补贴是征税不补贴的帕累托改善;若公司对农产品初加工,进项税率等于销项税率,则税收补贴带来的收益全部被公司利用其强势地位所攫取,单纯的税收补贴难以实现农户增产增收的目的。随后,在政府补贴系数内生时,证明了深加工情形下存在唯一最优的税收补贴系数使得政府社会福利最大化,且最优的税收补贴系数随各参数的变化存在上下界。最后,引入数值算例验证了上述结论,同时发现,深加工情形下政府决策的最优税收补贴系数随流通损耗率的增加而减小,随销项税率和供应链边际利润率的增大而增大;社会福利和公司的期望收益对流通损耗率的变化较之农户的期望收益对其变化更为敏感。     

考虑质押物损耗的存货质押融资合约设计

研究易损耗物品质押融资中金融机构与第三方物流服务供应商(Third Party Logistics Service Provider, 3PLs)的合约设计问题。在存货被质押期间,3PLs的监管付出程度会对金融机构的期望收益产生影响。因此,金融机构应赋予3PLs一份激励合约,以刺激3PLs提高监管努力水平。考虑存货在质押期间发生损耗的基础上,建立金融机构与3PLs进行合作的期望收益函数,分析金融机构与3PLs采用委托监管、共同经营及统一授信等模式时的固定支付与激励系数特征,推导每种模式下3PLs的最优监管努力水平。通过数值算例对三种模式下的期望收益水平进行比较,并考察损耗率、努力成本系数和价值变现系数变动对决策变量的影响。结果表明:价值变现系数存在一个临界值,当价值变现系数小于该临界值时,统一授信模式的总期望收益最大;而当价值变现系数大于该临界值时,委托监管模式的总期望收益最大。     

基于微分博弈的区域经济合作行为分析

针对区域经济合作行为问题,构建微分博弈模型,将区域合作情况分为弱弱型拮抗博弈、强弱型主从博弈、强强型协同博弈三类,并考察其最优努力策略、最优收益与联盟总体收益变化.研究结果显示:①地区间经济合作努力程度随着合作成本系数、产出漏损系数的上升而下降,随着边际努力产出系数、边际努力收益系数、产出影响系数的上升而上升;②"激励因子"作为一种激励机制,可提高地区间合作努力度、最优收益及联盟整体收益;③三种类型中,强强性协同博弈最优策略及整体最优收益均严格优于其他两种情形.但这种协同合作需要确定联盟整体收益分配系数的取值范围.     

灰色市场条件下基于收益共享契约的供应链协调

考虑灰色市场条件下由一个制造商和两个分别处于不同国家的分销商构成的供应链,分别分析了完全分散化、部分分散化和集中化决策下的供应链定价策略。考察了各种决策模式下,消费者对灰市产品价值的认可程度对制造商定价策略的影响。通过比较得出分散化和部分分散化决策下的最优定价策略偏离集中化决策下的最优定价策略。并以供应链集中化决策下的利润为基准,通过引入收益共享契约针对灰色市场条件下的完全分散化和部分分散化供应链进行协调,并给出保证供应链节点企业达到帕累托改进的收益分享系数取值范围。最后通过数值分析给出了消费者对灰市产品价值的认可程度与供应链利润、灰市产品销量及收益分享系数之间的关系。     

基于错误矩阵方程的解决城市交通拥堵决策研究

针对解决城市交通拥堵决策问题,首先给出了错误优化矩阵的概念,在此基础上引出错误矩阵方程的概念,利用消错理论中的错误优化矩阵方程,从错误优化的角度来研究并解决城市交通拥堵的决策方法.相应结合实际状况给出当前状态矩阵,从而进行下一步的求解,步步推理获得了决策人满意的方案集,为决策者提供最优建议.     

BOT项目特许权期和投资规模决策分析

在需求随时间不断增长情况下,建立了BOT项目公司进行投资规模决策和政府进行特许权期决策的模型,求得了项目公司的最优投资规模决策和政府的最优特许权期决策,并对影响双方决策的变量进行了讨论,结果表明项目公司的最优投资规模不是特许权内完全满足市场需求的最大规模,且其投资规模应随特许权期的延长、项目设计寿命的增加和产品价格的上升而扩大。政府应随需求增长系数的增大和项目设计寿命的增加而延长特许权期,随项目产品价格的上升而缩短特许权期,且政府可以通过适当调整自己的保留收益来保证项目的顺利进行。     

Controllability of a Nonholonomic Macroeconomic System

This paper studies optimal control problems and sub-Riemannian geometry on a nonholonomic macroeconomic system. The main results show that a nonholonomic macroeconomic system is controllable either by trajectories of a single-time driftless control system (single-time bang–bang controls), or by nonholonomic geodesics or by sheets of a two-time driftless control system (two-time bang–bang controls). They are strongly connected to the possibility of describing a nonholonomic macroeconomic system via a Gibbs–Pfaff equation or by four associated vector fields, based on a contact structure of the state space and our isomorphism between thermodynamics and macroeconomics that praises three laws of a nonholonomic macroeconomic system.     

On fuzzy random multiobjective quadratic programming

In this paper, a multiobjective quadratic programming problem having fuzzy random coefficients matrix in the objective and constraints and the decision vector are fuzzy pseudorandom variables is considered. First, we show that the efficient solutions of fuzzy quadratic multiobjective programming problems are resolved into series-optimal-solutions of relative scalar fuzzy quadratic programming. Some theorems are proved to find an optimal solution of the relative scalar quadratic multiobjective programming with fuzzy coefficients, having decision vectors as fuzzy variables. At the end, numerical examples are illustrated in the support of the obtained results.     

Fuzzy multi-criteria decision-making based on positive and negative extreme solutions

To encompass decision data vagueness, many researchers generalized multi-criteria decision-making (MCDM) methods in certain environment into fuzzy multi-criteria decision-making (FMCDM) methods under fuzzy environment. In these FMCDM methods, ranking fuzzy numbers based on fuzzy pair-wise comparison is normally essential, but the comparison is a complexity work. To avoid fuzzy pair-wise comparison, we propose a FMCDM method based on positive and negative extreme solutions of alternatives. In the proposed method, two extreme solutions of alternatives are obtained by MAX and MIN operations of fuzzy TOPSIS. Then weakness and strength matrices between alternatives and extreme solutions are derived by a difference function revised from fuzzy preference relation of Lee, and multiplied with weight matrix to be weighted weakness and strength indices. The two weighted indices are respectively transferred into positive and negative indices, and then the two indices integrated into a total performance index. Finally, alternatives can be sorted according to their related performance indices, and FMCDM problems are easily solved, not by fuzzy pair-wise comparison.     

Ranking DMUs by using interval DEA cross efficiency matrix with acceptability analysis

Cross efficiency method is an extension of data envelopment analysis (DEA), and has been widely used for ranking performance of decision making units (DMUs). To eliminate the non-uniqueness of cross efficiency scores, the aggressive and benevolent strategies have been proposed as secondary goals to determine the unique cross efficiency score. The current paper aims to propose an alternative strategy which does not consider the preference of the decision maker in choosing aggressive or benevolent strategy. Instead, the paper considers all possible weight sets in weight space when computing the cross efficiency and each DMU is given an interval cross efficiency. By using the stochastic multicriteria acceptability analysis (SMAA-2) method, all DMUs in the interval cross efficiency matrix (CEM) could be fully ranked according to the acceptability indices. A numerical example about efficiency evaluation to seven academic departments in a university is illustrated.     

Correlation coefficient of interval-valued intuitionistic fuzzy sets and its application to multiple attribute group decision making problems

In this paper, we investigate the group decision making problems in which all the information provided by the decision-makers is presented as interval-valued intuitionistic fuzzy decision matrices where each of the elements is characterized by interval-valued intuitionistic fuzzy number (IVIFN), and the information about attribute weights is partially known. First, we use the interval-valued intuitionistic fuzzy hybrid geometric (IIFHG) operator to aggregate all individual interval-valued intuitionistic fuzzy decision matrices provided by the decision-makers into the collective interval-valued intuitionistic fuzzy decision matrix, and then we use the score function to calculate the score of each attribute value and construct the score matrix of the collective interval-valued intuitionistic fuzzy decision matrix. From the score matrix and the given attribute weight information, we establish an optimization model to determine the weights of attributes, and then we use the obtained attribute weights and the interval-valued intuitionistic fuzzy weighted geometric (IIFWG) operator to fuse the interval-valued intuitionistic fuzzy information in the collective interval-valued intuitionistic fuzzy decision matrix to get the overall interval-valued intuitionistic fuzzy values of alternatives, and then rank the alternatives according to the correlation coefficients between IVIFNs and select the most desirable one(s). Finally, a numerical example is used to illustrate the applicability of the proposed approach.     

Classical and singular stochastic control for the optimal dividend policy when there is regime switching

Motivated by economic and empirical arguments, we consider a company whose cash surplus is affected by macroeconomic conditions. Specifically, we model the cash surplus as a Brownian motion with drift and volatility modulated by an observable continuous-time Markov chain that represents the regime of the economy. The objective of the management is to select the dividend policy that maximizes the expected total discounted dividend payments to be received by the shareholders. We study two different cases: bounded dividend rates and unbounded dividend rates. These cases generate, respectively, problems of classical stochastic control with regime switching and singular stochastic control with regime switching. We solve these problems, and obtain the first analytical solutions for the optimal dividend policy in the presence of business cycles. We prove that the optimal dividend policy depends strongly on macroeconomic conditions.     

A new multiple attribute group decision making method in intuitionistic fuzzy setting

The multiple attribute group decision making (MAGDM) problem with intuitionistic fuzzy information investigated in this paper is very useful for solving complicated decision problems under uncertain circumstances. Since experts have their own characteristics, they are familiar with some of the attributes, but not others, the weights of the decision makers to different attributes should be different. We derive the weights of the decision makers by aggregating the individual intuitionistic fuzzy decision matrices into a collective intuitionistic fuzzy decision matrix. The expert has a big weight if his evaluation value is close to the mean value and has a small weight if his evaluation value is far from the mean value. For the incomplete attribute weight information, we establish some optimization models to determine the attribute weights. Furthermore, we develop several algorithms for ranking alternatives under different situations, and then extend the developed models and algorithms to the MAGDM problem with interval-valued intuitionistic fuzzy information. Numerical results finally illustrate the practicality and efficiency of our new algorithms.     

Analysis of pairwise comparison matrices: an empirical research

Pairwise comparison (PC) matrices are used in multi-attribute decision problems (MADM) in order to express the preferences of the decision maker. Our research focused on testing various characteristics of PC matrices. In a controlled experiment with university students (N=227) we have obtained 454 PC matrices. The cases have been divided into 18 subgroups according to the key factors to be analyzed. Our team conducted experiments with matrices of different size given from different types of MADM problems. Additionally, the matrix elements have been obtained by different questioning procedures differing in the order of the questions. Results are organized to answer five research questions. Three of them are directly connected to the inconsistency of a PC matrix. Various types of inconsistency indices have been applied. We have found that the type of the problem and the size of the matrix had impact on the inconsistency of the PC matrix. However, we have not found any impact of the questioning order. Incomplete PC matrices played an important role in our research. The decision makers behavioral consistency was as well analyzed in case of incomplete matrices using indicators measuring the deviation from the final order of alternatives and from the final score vector.     

航空机务维修的优化管理

在航空机务维修工作中,科学的管理、人力资源的合理配置对及时完成维修任务,保障训练作战计划至关重要.从装备完好率和完成任务的及时性出发,分别建立了数学优化配置模型,并给出了这两种情况下效益(成本)矩阵的构造方法,进而将优化模型转化为最优线性指派问题来处理,从而为航空机务维修工作中人力资源的优化配置提供了一种科学、合理的决策方法.     

Projection method for multiple criteria group decision making with incomplete weight information in linguistic setting

Multiple criteria group decision making (MCGDM) problems have become a very active research field over the last decade. Many practical problems are often characterized by MCGDM. The aim of this paper is to develop a new approach for MCGDM problems with incomplete weight information in linguistic setting based on the projection method. Firstly, to reflect the reality accurately, a method to determine the weights of decision makers in linguistic setting is proposed by calculating the degree of similarity between 2-tuple linguistic decision matrix given by each decision maker and the average 2-tuple linguistic decision matrix. By using the weights of decision makers, all individual 2-tuple linguistic decision matrices are aggregated into a collective one. Then, to determine the weight vector of criteria, we establish a non-linear optimization model based on the basic ideal of the projection method, i.e., the optimal alternative should have the largest projection on the 2-tuple linguistic positive ideal solution (TLPIS). Calculate the 2-tuple linguistic projection of each alternative on the TLPIS and rank all the alternatives according to the 2-tuple linguistic projection value. Finally, an illustrative example is given to demonstrate the calculation process of the proposed method, and the validity is verified by comparing the evaluation results of the proposed method with that of the technique for order preference by similarity to ideal solution (TOPSIS) method.