基于蚁群优化的企业技术创新资源配置问题研究

为探索更高效的企业技术创新资源优化配置算法,提出了基于蚁群优化算法的求解方法.针对企业技术创新的流程,构建了以时间、成本和应用性为目标的企业技术创新资源优化配置模型,设计了模型求解的蚁群算法,并通过具体算例验证了算法的可行性和有效性.     

网格环境下制造资源优化配置的区间规划模型

针对网格环境下影响制造资源优化配置的关键参数具有区间性的特点,基于区间数建立了资源优化配置模型,以任务完工的总成本最低为目标,将资源的价格及任务的成本限制转换为区间数,并充分考虑了资源工作时间限制以及任务时间要求,给出线性区间规划模型及其解法,并通过算例分析表明该方法的可行性与有效性.该模型在反映市场需求以及应对市场变化基础上,可得出合理的优化配置方案.     

高等学校资源优化配置与管理的相关模型研究

针对高等学校资源优化配置与管理问题,在收集72所高校五年投入产出数据并进行绩效评价的基础上,以投入产出绩效作为资源配置目标,建立高校资源优化配置的两层结构模型.采用神经网络与遗传算法相结合,建立非线性适应值函数,以优化不同学校一级投入指标的投入比例.最后对配置结果进行风险分析,以评价配置的可行性,尽可能避免资源配置的不合理或损失出现.研究结果为高校资源配置突破传统模式提供了有效的管理方法.     

徐工战略财务“魔方”

企业资源在年复一年、日复一日的运转过程中，很多资源郁处于混沌状态。如何在混沌状态当中发现问题、解决问题，需要强有力的系统整合。而系统整合则落在CFO的肩上，因为他们最清楚在企业体系当中，哪些资源是最需要优化和配置的。     

基于偏好关系的制造工艺资源评价与选择的模糊决策方法

制造工艺资源的评价和选择是实现资源优化配置的关键技术.本文分析了协同工艺设计中制造工艺资源选择决策研究状况,应用模糊数和模糊决策理论,建立基于偏好关系的制造工艺资源模糊评价模型,研究一种基于偏好关系的隶属度函数求解算法和基于偏序关系的多方案制造工艺资源排序决策方法,最后给出一个算例验证本文提出的资源评价方法的合理性和有效性.     

基于滚动计划的动态企业资源优化模型

由于传统MRP逻辑存在固有的缺陷,ERP系统中的生产计划模块往往不能满足企业快速发展的需要。为此,文章提出了一个可以实时推进的,能够实现企业资源优化配置的新型企业资源规划系统。系统的核心是一个基于滚动计划的动态企业资源优化模型。文章讨论了将滚动周期理论引入企业资源优化模型的方法和优势。基于该模型的新系统构建更加灵活,应用范围更加广阔,生成的生产计划更加符合企业生产实际。     

集装箱班轮联营系统舱位租赁与分配决策优化模型

班轮联盟通过舱位资源之间的合作,以发挥规模经济的优势.以班轮运力配置模型为基础,建立基于非线性目标规划的班轮联盟舱位租赁决策优化模型,用于分析和研究联盟情况下集装箱班轮系统舱位租赁与配置优化与决策问题.通过实例计算分析,结果表明,航运公司通过航运联盟舱位租赁,在降低其系统成本、优化运力配置等方面有较好的优点,可适应复杂多变的运力配置情况.     

员工配置资源行为的优化研究:自适应组织的视角

组织目标必须通过约束体系规范员工行为得以实现.进行组织约束下员工行为的定量研究,这对保证组织健康稳定发展非常必要.员工自身适应组织目标,服从组织的约束体系,配置好自有的资源,使得自身行为得以优化的研究较少.本文简要回顾了经济学理论、组织行为学、人力资源管理等方面对员工配置资源行为优化的研究及应用.界定了组织资源,并将其分为三种类型.在约束体系给出的基础上,将组织对员工行为的控制、要求或激励转为员工在之上或之下的运行约束;认为约束体系具有离散、悬河效应的特点;得出了评价组织约束体系的两种算法.讨论了员工资源及行为.尝试构造了基于员工适应组织约束下,员工的多目标、非线性,既有连续又有离散约束条件的配置资源行为优化的定量模型,并在基于员工利益最大化的前提下,对模型求解最优解的几种情况进行了研究.希望能够填补员工自身适应组织目标,行为优化定量模型这方面研究的空白.     

资源有限网络计划的PRWI启发式优化方法

本文在综合考虑了有资源约束的网络计划结构特征、资源强度、时间约束等方面因素的基础上，提出了一种新的资源优化的启发式优化方法—ＰＲＷＩ方法，并通过分析证明了该方法处理问题的效果较现有的其它方法好。     

基于ε-EGA多准则调整的舰船维修资源配置决策方法与应用

为了提高舰船维修资源配置的科学性、有效性，针对舰船维修目标提出维修战斗力定义，统筹考虑了舰船维修资源配置过程中的财力、人力、物力和技术资源对于资源配置的影响，构建了舰船维修资源配置模型。求解方法上，以军事效益(维修战斗力)最大和维修成本最小为优化目标，将舰船维修资源配置问题转化为混合整数非线性规划模型的多目标寻优问题。在标准遗传算法(SGA)基础上，融合ε约束准则和精英保留策略，构建一种新型ε-EGA的多准则调整算法，搜索获取满意的Pareto解集与前沿。结合企业H的年度舰船维修任务实际进行实证检验，提高优化配置模型结论的科学性，增强模型与实际情况的吻合度。结果表明，ε-EGA多准则调整算法具有良好的适用性和延展性，计算速度快，方案优化度高，而维修资源配置模型对于其他建造工程行业的资源调度、计划安排等工作开展，也具有较强的借鉴意义。     

Optimal resource allocation across related channels

In this paper, we consider resource allocation strategies of a limited resource across two related channels in a multi-period setting. We study a stochastic control problem where the objective is to determine the optimal limited resource allocation policy across two related channels and optimal transshipment policy between these two channels. We characterize some structural results of the optimal resource allocation policy and show that it is determined by three monotone curves.     

THE ECONOMICS OF DEFICIT IRRIGATION

Abstract Natural resource economists have paid great attention to irrigation water allocations among competing users. However, the intrauser allocation problem is greatly understudied. As irrigation becomes increasingly capital‐intensive, inefficient within‐field allocation and ill‐designed water‐conservation policy can bring considerable value loss to the water resource. We offer a comprehensive treatment of the economic problem of the intrauser allocation of a limited amount of irrigation water. A framework is provided for determining optimal irrigation intensity and extensity in both static and dynamic settings. An empirical application in West Texas cotton production demonstrates model implementation and offers new insights into the water‐saving potential of government‐sponsored cost‐share programs for promoting high‐efficiency irrigation adoption.     

A genetic approach for strategic resource allocation planning

Enterprises often implement a measurement system to monitor their march towards their strategic goals. Although this way it is possible to assess the progress of each goal, there is no structured way to reconsider resource allocation to those goals and to plan an optimal (or near optimal) allocation scheme. In this study we propose a genetic approach to match each goal with an autonomous entity (agent) with a specific resource sharing behavior. The overall performance is evaluated through a set of functions and genetic algorithms are used to eventuate in approximate optimal behavior’s schemes. To outline the strategic goals of the enterprise we used the balanced scorecard method. Letting agents deploy their sharing behavior over simulation time, we measure the scorecard’s performance and detect distinguished behaviors, namely recommendations for resource allocation.     

Optimal resource allocation in survey designs

Resource allocation is a relatively new research area in survey designs and has not been fully addressed in the literature. Recently, the declining participation rates and increasing survey costs have steered research interests towards resource planning. Survey organizations across the world are considering the development of new mathematical models in order to improve the quality of survey results while taking into account optimal resource planning. In this paper, we address the problem of resource allocation in survey designs and we discuss its impact on the quality of the survey results. We propose a novel method in which the optimal allocation of survey resources is determined such that the quality of survey results, i.e., the survey response rate, is maximized. We demonstrate the effectiveness of our method by extensive numerical experiments.     

政府干预与资源配置:传统产业和战略性新兴产业的对比

鉴于传统产业和战略性新兴产业所受政府干预程度不同,本文对比分析了政府干预导致两个产业资源配置扭曲的作用机理.实证分析以钢铁产业(传统产业)和光伏产业(战略性新兴产业)为例,利用2007-2015年沪深两市上市公司数据,量化测算了土地供给价格扭曲、财政补贴和预算软约束这三个因素对资源配置效率的影响程度.结果表明:钢铁产业和光伏产业均受到政府不同程度的干预,光伏产业中土地供给价格扭曲和财政补贴程度明显高于钢铁产业;土地供给价格扭曲、财政补贴、预算软约束显著降低了钢铁产业和光伏产业的资源配置效率;政府干预程度越大资源配置效率越低,因此光伏产业的资源配置扭曲现象比钢铁产业更严重.     

Decentralized Algorithm for Centralized Variational Inequalities in Network Resource Allocation

Decentralized algorithms would be useful for making network resource allocations in large-scale and complex system networks because such networks tend to lack centralized operators and are subject to continuous infrastructure improvements. In this paper, we consider a variational inequality for network resource allocation and devise a decentralized allocation algorithm for it. The proposed algorithm enables each user in the network to decide its own optimal resource allocation in cooperation with other users without using other users’ private information such as their utility functions. Moreover, we present a convergence analysis on the algorithm and apply it to the network resource allocation problem.     

Single-machine scheduling with time-and-resource-dependent processing times

We consider single-machine scheduling problems in which the processing time of a job is a function of its starting time and its resource allocation. The objective is to find the optimal sequence of jobs and the optimal resource allocation separately. We concentrate on two goals separately, namely, minimizing a cost function containing makespan, total completion time, total absolute differences in completion times and total resource cost; minimizing a cost function containing makespan, total waiting time, total absolute differences in waiting times and total resource cost. We show that the problems remain polynomially solvable under the proposed model.     

AN APPLICATION OF MULTI‐CRITERIA DECISION MAKING INCORPORATING STOCHASTIC PRODUCTION FRONTIERS: A CASE STUDY OF ORGANIC COFFEE PRODUCTION IN KONA,HAWAII

Abstract In this paper, we develop a land use allocation model to search for the optimal ratio of organic (nonchemical) and conventional (chemical‐use) farming acreage. The idea is to incorporate stochastic production frontiers (SPFs) to a multi‐criteria decision making (MCDM) model as technological constraints. The objectives of this model are to maximize net returns, minimize chemical inputs, and optimize organic inputs given environmental and ecological concerns. The compromise solutions suggest the desirable ratio of organic and conventional farming acreage and targetable operations for each farming system to improve regional welfare. This method was applied to the Kona coffee belt, Hawaii, and the analysis determined the optimal proportion of organic and conventional Kona coffee farming fields as 0.265 to 0.735 in terms of optimizing community benefits or regional welfare.     

Single-machine scheduling with convex resource dependent processing times and deteriorating jobs

In this study, we consider scheduling problems with convex resource dependent processing times and deteriorating jobs, in which the processing time of a job is a function of its starting time and its convex resource allocation. The objective is to find the optimal sequence of jobs and the optimal convex resource allocation separately. This paper focus on the single-machine problems with objectives of minimizing a cost function containing makespan, total completion time, total absolute differences in completion times and total resource cost, and a cost function containing makespan, total waiting time, total absolute differences in waiting times and total resource cost. It shows that the problems remain polynomially solvable under the proposed model.