古诺竞争条件下分权组织企业的技术许可策略

在最终产品市场存在古诺竞争的条件下,构建了拥有成本降低型技术创新的分权组织企业的技术许可博弈模型.利用动态博弈的逆向归纳求解方法,分析了固定费用许可和纯产量提成许可两种许可机制.研究结果表明:非显著创新下的最优策略取决于创新规模的大小,显著创新下的最优策略为固定费用许可.最后,对集权和分权两种组织结构下的最优许可策略做了比较分析.     

Planning Business Strategies in Diverse Companies

The most important problems for corporate planners in industry are planning the cash flow to ensure growth and helping the company to see itself, explicitly, as a portfolio and to assist the development of that portfolio. Planners have dismissed the role of operational research groups and O.R. techniques and basically simple techniques, usually developed by general consultants, have made a considerable impact, particularly "Boston" concepts of portfolio management. Planning processes are dominated by human judgement and the work of Godel is invoked to suggest that the use of better models to influence these corporate decisions is a forlorn hope. O.R. groups should concentrate on helping to solve perceived and real problems after seeking to display alternatives better, rather than to optimise. They should concern themselves more with improving the quality of presentation and ensuring the clarity of basically simple messages.     

商业模式创新对财务绩效的影响研究:基于新兴技术企业的实证

研究分析了商业模式创新对财务绩效的影响以及这种影响的环境条件。研究提出了6个理论假设,并采用来自151个新兴技术企业的样本进行了实证检验。研究发现效率型和新颖型商业模式创新都能促进财务绩效。市场不成熟和不正当竞争会加强效率型商业模式创新对财务绩效的促进作用,而不正当竞争会削弱新颖型商业模式创新对财务绩效的促进作用。     

Production Equilibrium Point in Multi-Unit Manufacturing Systems and The Vertical Linear Complementarity Problem

A model that selects and produces products at an equilibrium point in multi-unit manufacturing systems is presented. It enables each business subsystem in the company to select and produce products so that the whole organization meets both internal and external demands at minimum inventory cost. Unlike previously proposed models, this model does not place any restrictions on the number of products or services that each business subsystem can provide. Proofs are provided to show existence of solutions and solvability, and a numerical example is given to demonstrate the utility of the model.     

Information,Incentives and Decentralized Decision-Making in a Bayesian Framework

This paper examines the problem of choosing an organization structure for decision-making for two-level organizations under various information conditions. Decentralized decision-making (DDM), centralized decision-making with reporting by division (CDRD), and centralized decision-making (CDM) are considered. The information conditions pertain to the observability of states and actions. It is shown that if the party not making the decisions can infer the choice of action from the ex post knowledge of the state, then DDM and CDRD are essentially equivalent in that it is possible to devise optimal incentive schemes in both cases. If, however, the action choice cannot be inferred, then CDRD is at least as preferred as DDM by the centre (regulator). If ex post observation (or inference) of the state can be made only by the party making the decision, we show that the centre (regulator) prefers CDRD to DDM. For this case, we derive an incentive scheme which elicits truthful information from the division (regulated entity). Finally, the incentive schemes are applied to the problem of regulating an industry that pollutes the environment.     

Decentralized stabilization of a class of interconnected systems

Abstract. This paper is concerned with the decentralized stabilization of continuous and discretelinear interconnected systems with the structural constraints about the interconnection matri-ces. For the continuous case,the main improvement in the paper as compared with the corre-sponding results in the literature is to extend the considered class of systems from S to S“ (bothwill be defined in the paper) without resulting in high decentralized gain and difficult numericalcomputation. The algorithm for obtaining decentralized state feedback control to stable theoverall system is presented. The discrete case and some very useful results are discussed aswell.     

Organizational Structure and Firm Innovation in a Retail Chain

Two organizational structures for a retail chain are examined fortheir effect on the rate of firm innovation. A centralized organization isdefined as one in which store practices are mandated from corporateheadquarters (HQ) and this results in HQ being the sole source of new ideas.A decentralized organization gives freedom to store managers to adopt theirown ideas and disseminates innovations made by store managers. Thedifference in average profit between the centralized and decentralizedorganizations is found to be a non-monotonic function of innovativeopportunities. The centralized organization is preferred when innovativeopportunities are moderate while the decentralized organization is preferredwhen such opportunities are rich. Centralization also tends to fare betterin environments in which ideas are relatively complex.     

Optimal Decentralized Regulation for a Class of Flow Networks

Optimal decentralized regulation is considered for a class of flow networks where, at each intersection, a selective switch links a single input–output pair at anytime. It is shown that a special case of the above is an urban traffic network with signalized intersection. We analyze first the traffic situation of an isolated intersection based on the point-queuing model of traffic and model the intersection dynamics via two states: either unsaturated or saturated. According to the different traffic characteristics of the two states, we design two intersection controllers and then combine them into one hybrid controller. This hybrid controller is extended to the multi-intersection case and becomes a decentralized hybrid intersection controller. A simulation study is given in this paper and it shows that this decentralized hybrid intersection control method can improve the performance of traffic networks and by extension the performance of more general flow networks.     

Decentralized optimal control of a group of dynamical objects

The problem of optimal control of a group of coupled dynamical objects is considered. The cases are examined in which the centralized control of a group of objects is impossible. Fast real-time optimal control algorithms of each of the dynamical systems are described that use information exchanged between group members in the course of control. The proposed methods supplement the earlier developed real-time optimal control methods for an individual dynamical system. The results are illustrated using optimal control of two coupled mathematical pendulums as an example.     

Decentralized Dual-Based Algorithm for Computing Optimal Flows in a General Supply Chain

This paper addresses the issue of the optimal flow allocation in general supply chains. Our basic observation is that a distribution channel involving several reselling steps for a particular product can be viewed as a route in a supply chain network. The flow of goods or services along each route is influenced by the customer's demand, described by the corresponding utility functions, and prices charged at each node. We develop an optimization algorithm based on the primal-dual framework and the Newton's step that computes optimal prices at each node (dual problem) and then computes the optimal flow allocation (primal problem) based on these prices. Our main contribution is a discovery that the Newton's step leads to a partially decentralized algorithm which is a first step toward a decentralization schema for computing optimal prices.     

Business Games in Business

A business game which does not need an electronic computer has been described by Andlinger.As a result of experience gained from introducing a game as part of a training course for middle management since May 1958, some fundamental changes have been made. The purpose of this article is to compare results obtained from the original and modified versions and to describe the latter in detail.While the essential characteristics of the Andlinger game are described, reference to the original paper is recommended.     

具有随机风险的公司最优投资策略

本文讨论具有随机风险的公司的最优投资策略问题,公司投资选择是存款、贷款及股票交易、,因市场的不完备性,公司在任一时刻存在概率为正值的破产可能性,本文主要结果是：从贷款利率高于存款利率的实际出发,运用最优随机控制理论,得到使公司生存概率取得最大值的最优投资策略,以及相应的最大生存概率,并并对这些结果给出了严格证明。     

一类大型互联非线性系统的鲁棒分散控制

本文对带有界扰动的一类大型互联非线性系统进行了分散状态反馈控制设计,通过子系统状态的线性变换,得到分散状态反馈控制律.当状态反馈控制律作用于该系统时,无扰动的闭环系统是渐近稳定的.当扰动较小时,系统的状态能够收敛到原点的一个小邻域内.     

Convergence Results of a Nested Decentralized Gradient Method for Non-strongly Convex Problems

Journal of Optimization Theory and Applications - We are concerned with the convergence of NEAR-DGD $$^+$$ (Nested Exact Alternating Recursion Distributed Gradient Descent) method introduced to...     

Decentralized method for computing Pareto solutions in multiparty negotiations

This paper presents a decentralized method for computing Pareto-optimal solutions in multiparty negotiations over continuous issues. The method is based on the well known weighting method which is decomposed by introducing an own decision variable for each decision maker and by applying the dual decomposition method to the resulting problem. The method offers a systematic way for generating some or all Pareto-optimal solutions so that decision makers do not have to know each others' value functions. Under the assumption of quasilinear value function the requirement that a decision maker knows the explicit form for his value function can be relaxed. In that case the decision maker is asked to solve a series of multiobjective programming problems where an additional artificial decision variable is introduced.     

Game Theoretic Decentralized Feedback Controls in Markov Jump Processes

This paper studies a decentralized routing problem over a network, using the paradigm of mean-field games with large number of players. Building on a state-space extension technique, we turn the problem into an optimal control one for each single player. The main contribution is an explicit expression of the optimal decentralized control which guarantees the convergence both to local and to global equilibrium points. Furthermore, we study the stability of the system also in the presence of a delay which we model using an hysteresis operator. As a result of the hysteresis, we prove existence of multiple equilibrium points and analyze convergence conditions. The stability of the system is illustrated via numerical studies.     

Strategies and simulations in a semantic framework

By means of several examples of structural operational semantics for a variety of languages, we justify the importance and interest of using the notions of strategies and simulations in the semantic framework provided by rewriting logic and implemented in the Maude metalanguage. On the one hand, we describe a basic strategy language for Maude and show its application to CCS, the ambient calculus, and the parallel functional language Eden. On the other hand, we show how the concept of stuttering simulation can be used inside Maude to show that a stack machine correctly implements the operational semantics of a simple functional language.     

Decentralized robust control for a class of uncertain large-scale interconnected nonlinear dynamical systems

The problem of the decentralized robust control for a class of large-scale interconnected nonlinear dynamical systems with input interconnection and external interconnection perturbations is considered. Based on the stabilizability of each nominal isolated subsystem (i.e., the isolated subsystem in the absence of interconnection perturbations), a class of decentralized local state feedback controllers is proposed, and some sufficient conditions are derived by making use of the Lyapunov stability criterion such that uncertain large-scale interconnected systems can be stabilized asymptotically by these decentralized state feedback controllers. For large-scale systems with only input interconnection perturbations, such decentralized controllers become a class of decentralized stabilizing state feedback controllers. That is, the decentralized stability of such large-scale systems can be guaranteed always by using the decentralized state feedback controllers proposed in the paper. Finally, a numerical example is given to demonstrate the validity of the results.     

Decentralized iterative learning control for a class of large scale interconnected dynamical systems

The problem of decentralized iterative learning control for a class of large scale interconnected dynamical systems is considered. In this paper, it is assumed that the considered large scale dynamical systems are linear time-varying, and the interconnections between each subsystem are unknown. For such a class of uncertain large scale interconnected dynamical systems, a method is presented whereby a class of decentralized local iterative learning control schemes is constructed. It is also shown that under some given conditions, the constructed decentralized local iterative learning controllers can guarantee the asymptotic convergence of the local output error between the given desired local output and the actual local output of each subsystem through the iterative learning process. Finally, as a numerical example, the system coupled by two inverted pendulums is given to illustrate the application of the proposed decentralized iterative learning control schemes.