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宏记文:不同主体生鲜农产品供应链的利润最大化策略最优化理论

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宏记文:不同主体生鲜农产品供应链的利润最大化策略最优化理论

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Today, the editor brings you the optimization theory of "Research on Profit Maximization Strategies of Fresh Agricultural Products Supply Chain Under the Dominance of Different Subjects".

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本期推文通过思维导图,精读内容,知识补充三个板块,展示硕士论文《不同主体主导下生鲜农产品供应链的利润最大化策略研究》最优化理论,请读者跟着小编一起来学习吧!

This tweet shows the optimization theory of the master's thesis "Research on Profit Maximization Strategies of Fresh Agricultural Products Supply Chain under the Dominance of Different Subjects" through three sections: Mind Map, Intensive Reading Content, and Knowledge Supplement. Readers are invited to follow the editor to learn!

01

思维导图

博士论文《不同主体主导下生鲜农产品供应链的利润最大化策略研究》最优化理论,思维导图如下:

Doctoral dissertation "Research on Profit Maximization Strategies of Fresh Agricultural Products Supply Chain under the Dominance of Different Subjects" Optimization Theory, mind map is as follows:

宏记文:不同主体生鲜农产品供应链的利润最大化策略最优化理论

02

精读内容

在概念定义章节,对最优化理论进行了介绍。首先说明了最优化理论常用在如下几个问题:1.厂商为了实现自身利润最大化安排生产计划。2.零售商商为了实现自身利润最大化制定采购和定价计划。3.政府为了实现社会福利最大化目标制定最优的补贴政策。

In the concept definition chapter, the optimization theory is introduced. Firstly, it is explained that the optimization theory is often used in the following problems: 1. Manufacturers arrange production plans to maximize their own profits. 2. Retailers formulate procurement and pricing plans to maximize their own profits. 3. The government formulates the optimal subsidy policy to maximize social welfare.

宏记文:不同主体生鲜农产品供应链的利润最大化策略最优化理论

随后说明了最优化理论的核心内容就是研究数学模型,其通式为1.目标函数。2.决策变量满足约束条件。

Then it is explained that the core content of optimization theory is to study mathematical models, and its general formula is 1. Objective function. 2. Decision variables satisfy constraints.

宏记文:不同主体生鲜农产品供应链的利润最大化策略最优化理论
宏记文:不同主体生鲜农产品供应链的利润最大化策略最优化理论

最优化利润主要涉及的问题分两部分:1.约束优化问题。顾名思义即在约束条件决定的范围内求解目标函数Z达到最大值或最小值的最优解。2.无约束优化问题,即没有限制条件,可行域为全集。

The main problems involved in the optimization of profit are divided into two parts: 1. Constrained optimization problem. As the name implies, it is to solve the optimal solution where the objective function Z reaches the maximum or minimum value within the range determined by the constraints. 2. Unconstrained optimization problem, that is, there are no constraints, and the feasible region is the complete set.

宏记文:不同主体生鲜农产品供应链的利润最大化策略最优化理论

约束规划里又分为线性规划和非线性规划,可行域是有限维空间的子集且约束条件为线性函数称为线性优化。约束条件不为线性函数即非线性规划。

‍ Constrained programming is divided into linear programming and nonlinear programming. The feasible region is a subset of the finite dimensional space and the constraints are linear functions, which is called linear optimization. The constraints are not linear functions, that is, nonlinear programming.

宏记文:不同主体生鲜农产品供应链的利润最大化策略最优化理论

非线性规划是最常见的优化问题,求解方法为最速下降法、拟牛顿法、非线性最小二乘法和最优性条件直接求解。

Nonlinear programming is the most common optimization problem, and the solution methods are steepest descent method, quasi-Newton method, nonlinear least squares method and direct solution of optimality conditions.

宏记文:不同主体生鲜农产品供应链的利润最大化策略最优化理论

最优性条件直接求解中,只含等式约束条件时,采用拉格朗日函数法求解。约束条件为不等式时,目标函数是严格凹函数或拟凹函数时,利用件基于 Karush-kuhn-Tucker 条件和局部极值点和全局最值点的关系求解。

In the direct solution of optimality conditions, when only equality constraints are included, the Lagrangian function method is used to solve them. When the constraints are inequalities, when the objective function is strictly concave or quasi-concave, it is solved based on the Karush-kuhn-Tucker condition and the relationship between the local extreme point and the global maximum point.

宏记文:不同主体生鲜农产品供应链的利润最大化策略最优化理论

章节最后,作者对本文使用的最优化理论进行了介绍,研究内容为非线性规划模型研究供应链企业利润最大化、社会福利最大化、效用最大化。求解的方法为无约束优化与约束优化的最优性条件求解。

At the end of the chapter, the author introduces the optimization theory used in this paper, and the research content is the nonlinear programming model to study the profit maximization, social welfare maximization, and utility maximization of supply chain enterprises. The solution methods are unconstrained optimization and constrained optimization.

宏记文:不同主体生鲜农产品供应链的利润最大化策略最优化理论

03

知识补充

文章中提到最优化理论,最优化理论在现实生活中的应用范围有哪些?

1. 工程设计:在建筑、机械、电子和航空航天等领域,工程师使用优化理论来设计最优的结构、电路、系统和流程。

2. 生产管理:在制造业中,优化理论用于生产调度、库存控制、供应链管理和资源分配,以提高效率和降低成本。

3. 交通运输:优化理论用于交通流管理、路线规划、物流配送和车辆调度,以减少拥堵和运输成本。

4. 金融投资:在金融领域,优化理论用于资产组合管理、风险评估、期权定价和交易策略优化。

5. 能源管理:在电力系统、石油和天然气行业,优化理论用于能源生产和分配的优化,以及可再生能源系统的集成。

6. 医疗健康:在医疗领域,优化理论用于病人调度、资源分配、治疗计划和药物剂量优化。

7. 环境管理:在环境保护和可持续发展领域,优化理论用于污染控制、废物管理和生态系统保护。

8. 信息技术:在计算机科学和信息技术领域,优化理论用于算法设计、网络优化、数据存储和处理。

9. 市场营销:在市场研究中,优化理论用于广告投放、产品定价和销售策略优化。

10. 公共政策:在政府决策中,优化理论用于预算分配、政策制定和社会福利最大化。

The article mentions optimization theory. What are the applications of optimization theory in real life?

1. Engineering design: In the fields of architecture, machinery, electronics, and aerospace, engineers use optimization theory to design optimal structures, circuits, systems, and processes.

2. Production management: In manufacturing, optimization theory is used for production scheduling, inventory control, supply chain management, and quotas to improve efficiency and reduce costs.

3. Transportation: Optimization theory is used in traffic flow management, route planning, logistics distribution, and vehicle scheduling to reduce congestion and transportation costs.

4. Financial investment: In finance, optimization theory is used in portfolio management, threat and risk assessment, option pricing, and trading strategy optimization.

5. Energy management: In the power system, oil and gas industries, optimization theory is applied to the optimization of energy production and distribution, as well as the integration of renewable energy systems.

6. Healthcare: In the medical field, optimization theory is used for patient scheduling, quotas, treatment planning, and drug dose optimization.

7. Environmental management: In the field of environmental protection and sustainable development, optimization theory is applied to pollution control, waste management, and ecosystem protection.

8. Information technology: In the fields of computer science and information technology, optimization theory is used in algorithm design, network optimization, data storage, and processing.

9. Marketing: In market research, optimization theory is used to optimize advertising placement, product pricing, and sales strategies.

10. Public policy: In government decision-making, optimization theory is used for budget allocation, policy making, and maximizing social welfare.

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参考资料:火山AI翻译,知乎,百度

参考文献:闻卉. 不同主体主导下生鲜农产品供应链的利润最大化策略研究 [D]. 武汉:华中农业大学, 2020.

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