面向產品族設計的雙層規(guī)劃模型及其交互式模糊算法研究
發(fā)布時間:2018-09-05 16:40
【摘要】:產品族(Product Family),作為產品的一種擴展表現(xiàn)形式,近年來已經成為主流理論界和實業(yè)界關注的重要主題。這不僅因為產品族設計和制造是大規(guī)模定制生產的核心內容,而且因為產品族的架構策略作為獲取競爭優(yōu)勢的重要手段已經成為企業(yè)競爭戰(zhàn)略的關鍵性構成要素。由于產品族設計中往往涉及多個決策主體,如企業(yè)內部處在不同設計階段設計者以及產品族的供應鏈廠商等。這使得產品族設計的模型往往具有多主體的特性,使得運用雙層規(guī)劃來描述企業(yè)的產品族策略成為近10年來的工業(yè)工程領域的研究熱點,但現(xiàn)有的雙層規(guī)劃問題在求解產品族雙層規(guī)劃問題時適用性較差,且針對產品族設計中雙層規(guī)劃問題的算法研究較少故針對產品族設計問題的性質開發(fā)適合的求解算法就顯得尤為重要。本文系統(tǒng)的總結了現(xiàn)有的雙層規(guī)劃算法,闡述了現(xiàn)有算法在求解產品族雙層規(guī)劃問題的不足,同時本文總結梳理了現(xiàn)有學者的借助雙層規(guī)劃數(shù)學模型對產品族設計進行建模和求解的研究,深入討論提出模型的數(shù)學性質和該性質的背后的物理背景,并探討產品族主從關聯(lián)和傳統(tǒng)運用單層數(shù)學規(guī)劃對產品族問題進行建模在決策機制、數(shù)學模型上的區(qū)別。對以往研究中產品族主從關聯(lián)優(yōu)化問題中的典型數(shù)學數(shù)學模型進行總結,并從數(shù)學角度論證模型的數(shù)學性質,對相關的重要概念進行數(shù)學證明;谏鲜龉ぷ,本文提出了幾個針對產品族問題中雙層規(guī)劃問題的交互式模糊算法,闡述了算法的原理思想和步驟,并將其運用到了通用電機產品族設計的實際案例中。
[Abstract]:Product family (Product Family), as an extended form of product, has become an important subject in the mainstream theory and industry in recent years. This is not only because the design and manufacture of product family is the core content of mass customization production, but also because the structure strategy of product family as an important means to gain competitive advantage has become the key element of enterprise competition strategy. In product family design, many decision makers are often involved, such as designers in different design stages and supply chain manufacturers in product families. This makes the models of product family design often have the characteristics of multi-agent, which makes the use of bilevel programming to describe the product family strategy of enterprises has become the research hotspot in the field of industrial engineering in the past 10 years. However, the existing bilevel programming problems are less suitable for solving product family bilevel programming problems. There are few researches on bilevel programming problem in product family design, so it is very important to develop suitable solution algorithm for product family design problem. This paper systematically summarizes the existing bilevel programming algorithms, and expounds the shortcomings of the existing algorithms in solving the product family bilevel programming problems. At the same time, this paper summarizes and combs the existing scholars' research on modeling and solving product family design by means of bilevel programming mathematical model, and discusses the mathematical properties of the proposed model and the physical background behind this property. This paper also discusses the difference between the decision mechanism and mathematical model of product family problems based on the relationship between principal and subordinate of product family and the traditional use of single-layer mathematical programming to model product family problems. This paper summarizes the typical mathematical models in the previous researches on the math-slave association optimization problems of product families, proves the mathematical properties of the models from the mathematical point of view, and proves the relevant important concepts mathematically. Based on the above work, this paper presents several interactive fuzzy algorithms for bilevel programming problems in product family problems, expounds the principle and steps of the algorithm, and applies it to practical cases of general motor product family design.
【學位授予單位】:天津大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:F224;F273
[Abstract]:Product family (Product Family), as an extended form of product, has become an important subject in the mainstream theory and industry in recent years. This is not only because the design and manufacture of product family is the core content of mass customization production, but also because the structure strategy of product family as an important means to gain competitive advantage has become the key element of enterprise competition strategy. In product family design, many decision makers are often involved, such as designers in different design stages and supply chain manufacturers in product families. This makes the models of product family design often have the characteristics of multi-agent, which makes the use of bilevel programming to describe the product family strategy of enterprises has become the research hotspot in the field of industrial engineering in the past 10 years. However, the existing bilevel programming problems are less suitable for solving product family bilevel programming problems. There are few researches on bilevel programming problem in product family design, so it is very important to develop suitable solution algorithm for product family design problem. This paper systematically summarizes the existing bilevel programming algorithms, and expounds the shortcomings of the existing algorithms in solving the product family bilevel programming problems. At the same time, this paper summarizes and combs the existing scholars' research on modeling and solving product family design by means of bilevel programming mathematical model, and discusses the mathematical properties of the proposed model and the physical background behind this property. This paper also discusses the difference between the decision mechanism and mathematical model of product family problems based on the relationship between principal and subordinate of product family and the traditional use of single-layer mathematical programming to model product family problems. This paper summarizes the typical mathematical models in the previous researches on the math-slave association optimization problems of product families, proves the mathematical properties of the models from the mathematical point of view, and proves the relevant important concepts mathematically. Based on the above work, this paper presents several interactive fuzzy algorithms for bilevel programming problems in product family problems, expounds the principle and steps of the algorithm, and applies it to practical cases of general motor product family design.
【學位授予單位】:天津大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:F224;F273
【參考文獻】
相關期刊論文 前9條
1 侯亮;王浩倫;穆瑞;黃偉;林文廣;賴榮q,
本文編號:2224840
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