食品供应链系统的稳健设计研究
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摘要
本文研究的是对食品供应链系统进行稳健设计。食品供应链作为复杂的社会经济系统,随着竞争的日益激烈、经济不确定性因素的增大、消费者需求的个性化和多样化以及快速的环境变化,使供应链管理中存在着大量不确定性因素,这些因素是造成管理困难的主要障碍之一。稳健设计的目的就是降低不确定性给供应链绩效带来的不利影响,通过稳健设计来优化供应链从而提高企业的竞争力,有着重要的理论和现实意义。
本文首先介绍了论文的研究背景及意义,阐述并总结了相关领域的国内外研究现状,然后分析了两种比较常见的稳健设计方法,并进行了比较,总结了各自的优势与劣势。双响应曲面法在试验和计算上的重复性较高,并且对于不确定性因素,在因素数量和试验次数的选择上,它有一定的约束性,基于此,本文提出了改进的双响应曲面法,同时,通过详细分析食品供应链的不确定性,确定了影响系统稳健性的重要因素。最后我们应用改进的双响应曲面法实现了食品供应链系统的稳健设计,获得稳健优化解,通过数值实验将稳健解与原方法获得的稳健优化解进行比较,验证了本文提出的改进的双响应曲面法的有效性。
本文的创新性工作主要有以下几点:
1.提出了改进的双响应曲面法。对稳健设计中常用的双响应曲面法进行了改进,使其能够更全面、灵活地分析不确定性因素,最终能获得一个更稳健的结果,弥补了原方法的一些不足。
2.丰富了稳健设计理论在复杂的食品供应链领域的应用研究成果。本文全面系统地分析了食品供应链系统的特点、影响因素以及对系统有重要影响的不确定性因素,并将稳健设计的方法和相关理论应用在如何解决不确定性给供应链绩效带来不利影响的问题,丰富了稳健型的供应链系统设计的理论研究成果。
3.定量化分析了食品供应链中存在的不确定性问题,能够更全面深入地解决不确定性给食品供应链带来的影响。
The purpose of this research is to robust design for food supply chain system. As complex social and economic system, with the increasingly fierce competition and increase economic uncertainty, consumer demand’s personalized and diverse and rapid environmental change, food supply chain management has a lot of uncertainty factors that are difficult to manage the main obstacle. Robust design is the purpose of reducing uncertainty for the negative influence of supply chain performance, and optimizing supply chain so as to improve the competitiveness of enterprises, so there has important theoretical and practical significance.
Firstly, this paper introduces the background and significance of research, and expounds and summarizes the current research status of related field, then we analysis two kind of common robust design method, and carries on the comparison, summarizes their respective advantages and disadvantages. Dual response surface method has a high repeatability in text and calculation, and for high uncertainty factors,it has a certain binding on the choice of factors quantity and testing time. Based on this kind of situation, this paper provides improved dual response surface method, meanwhile, through detailed analysis of the uncertainty of food chain, the author ensures the influence factors of the robustness on the system, finally we uses the improvement of dual response surface method, and realizes the robust design for food supply chain system, and obtain a robustness optimization solution. We comparises the robustness solution and the robustness optimal solution for response surface method through the numerical experiment, then it verifies the effectiveness of the improved dual response surface method.
This innovative work has the following basically:
1. This paper presents an improved dual response surface method. We improved the dual response surface method in robust design, which analysis uncertainty factors comprehensively and flexibly, and finally to obtain more robustness results, so this method makes up some shortcomings.
2. This paper enriched robust design theory in complex food supply chain field of applied research. This paper comprehensive and systematically analyzes characteristics, influence factors on the food supply chain system and the uncertainty factors what have an important impact on the system. How to resolve the supply chain performance problems through the robust design method and related theory. Moreover it rich the theoretical research achievements for robust model of supply chain system design.
3. In this paper, we make a quantitative analysis for the uncertainty of problem on the food chain, and it can more thoroughly solve the uncertainty impacts for the food supply chain.
本文首先介绍了论文的研究背景及意义,阐述并总结了相关领域的国内外研究现状,然后分析了两种比较常见的稳健设计方法,并进行了比较,总结了各自的优势与劣势。双响应曲面法在试验和计算上的重复性较高,并且对于不确定性因素,在因素数量和试验次数的选择上,它有一定的约束性,基于此,本文提出了改进的双响应曲面法,同时,通过详细分析食品供应链的不确定性,确定了影响系统稳健性的重要因素。最后我们应用改进的双响应曲面法实现了食品供应链系统的稳健设计,获得稳健优化解,通过数值实验将稳健解与原方法获得的稳健优化解进行比较,验证了本文提出的改进的双响应曲面法的有效性。
本文的创新性工作主要有以下几点:
1.提出了改进的双响应曲面法。对稳健设计中常用的双响应曲面法进行了改进,使其能够更全面、灵活地分析不确定性因素,最终能获得一个更稳健的结果,弥补了原方法的一些不足。
2.丰富了稳健设计理论在复杂的食品供应链领域的应用研究成果。本文全面系统地分析了食品供应链系统的特点、影响因素以及对系统有重要影响的不确定性因素,并将稳健设计的方法和相关理论应用在如何解决不确定性给供应链绩效带来不利影响的问题,丰富了稳健型的供应链系统设计的理论研究成果。
3.定量化分析了食品供应链中存在的不确定性问题,能够更全面深入地解决不确定性给食品供应链带来的影响。
The purpose of this research is to robust design for food supply chain system. As complex social and economic system, with the increasingly fierce competition and increase economic uncertainty, consumer demand’s personalized and diverse and rapid environmental change, food supply chain management has a lot of uncertainty factors that are difficult to manage the main obstacle. Robust design is the purpose of reducing uncertainty for the negative influence of supply chain performance, and optimizing supply chain so as to improve the competitiveness of enterprises, so there has important theoretical and practical significance.
Firstly, this paper introduces the background and significance of research, and expounds and summarizes the current research status of related field, then we analysis two kind of common robust design method, and carries on the comparison, summarizes their respective advantages and disadvantages. Dual response surface method has a high repeatability in text and calculation, and for high uncertainty factors,it has a certain binding on the choice of factors quantity and testing time. Based on this kind of situation, this paper provides improved dual response surface method, meanwhile, through detailed analysis of the uncertainty of food chain, the author ensures the influence factors of the robustness on the system, finally we uses the improvement of dual response surface method, and realizes the robust design for food supply chain system, and obtain a robustness optimization solution. We comparises the robustness solution and the robustness optimal solution for response surface method through the numerical experiment, then it verifies the effectiveness of the improved dual response surface method.
This innovative work has the following basically:
1. This paper presents an improved dual response surface method. We improved the dual response surface method in robust design, which analysis uncertainty factors comprehensively and flexibly, and finally to obtain more robustness results, so this method makes up some shortcomings.
2. This paper enriched robust design theory in complex food supply chain field of applied research. This paper comprehensive and systematically analyzes characteristics, influence factors on the food supply chain system and the uncertainty factors what have an important impact on the system. How to resolve the supply chain performance problems through the robust design method and related theory. Moreover it rich the theoretical research achievements for robust model of supply chain system design.
3. In this paper, we make a quantitative analysis for the uncertainty of problem on the food chain, and it can more thoroughly solve the uncertainty impacts for the food supply chain.
引文
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[2]辛玉红.供应链系统鲁棒性研究[D].北京:中国航天第二研究院.2008
[3]张贝贝,白宝光.稳健设计理论国内外研究新进展及发展趋势[J].内蒙古工业大学学报(社会科学版)2008,17(2):34-27
[4]蒙少东.浅谈我国食品供应链的瓶颈制约与因应对策[J].商业研究.2007,12(368):80-82
[5]邓爱民,聂治坤,刘利国,毛超.不确定性供应链的鲁棒优化研究综述[J].统计与决策.2009,21(297):160-162
[6]吕贤睿,单汩源.供应链管理中的不确定性及信息共享解决方案研究.黄冈职业技术学院学报[J].2005,12(4):96-100
[7] Parkinson A, Sorensen C, Pourhassan N.A General Approach for Robust Optimal Design. Trans. of the ASME,J. of Mech.Design,1993,115:74-80
[8] K.-H. Hwang, K.-W. Lee, G.-J. Park, Robust optimization of an automobile rearview mirror for vibration reduction, Struct. Multidisc. Optim. 21 (2001) 300-308
[9] W.Chen, J. Allen, K.-L. Tsui, F. Mistree, A procedure for robust design: Minimizing variations caused by noise factors and control factors, ASME J. Mech. Des. 118 (4) (1996) 478–493
[10]P. Chang, B. Williams, T. Santner, W. Notz, D. Bartel, Robust optimization of total joint replacements incorporating environmental variables, J. Biomech. Eng. 121 (1999) 304–310
[11]Y. Jin, A comprehensive survey of fitness approximation in evolutionary computation, Soft Comput. J. 9 (1) (2005) 3–12
[12]R. Jin, X. Du, W. Chen, The use of metamodeling techniques for optimization under uncertainty, J. Struct. Multidisciplinary Optim. 25 (2) (2003) 99–116
[13]Jack P.C. Kleijnen, Bert Bettonvil,and J.Fredrik Persson,Robust solutions for supply chain management:simulation,optimization,and risk analysis[M], robustness KLICT. 2003
[14]Elodie Adida.Georgia Perakis,A Robust Optimization Approach to Dynamic Pricing and Inventory Control with no Backorders[J]. Math.Program.2006(107)
[15]Hans-Georg Beyer, Bernhard Sendhoff. Robust optimization-A comprehensive survey. Computer methods in applied mechanics and engineering 196 (2007) pp.3190-3218
[16]Nalan Gulpnar, Berc, RustemWorst-case robust decisions for Multi-period Mean-variance Portfolio Optimization[J].European Journal of Operational Research.2007(183)
[17]Yanfeng Ouyang,Carlos Daganzo,Robust Tests for the Bullwhip Effect in Supply Chains with Stochastic Dynamics[J].European Journal of Operational Research 2008(185)
[18]陈立周,翁海珊.工程稳健优化设计[J].机械设计1998,8(8):6-9
[19]张于轩.多响应问题的稳健性设计优化研究[D].天津大学.2003
[20]马祖军,代颖,刘飞.再制造物流网络的稳健优化设计[J].系统工程2005,1(1):74-78
[21]田俊峰.不确定性条件下供应链管理优化模型及算法研究[D].西南交通大学.2005
[22]岳文辉.工程机械多学科稳健设计优化[J].湘潭师范学院学报(自然科学版) 2007,9(3):103-106
[23]朱长虹.具有稳健可靠性的供应链选址模型与算法研究[D].南京理工大学.2007
[24]黄小原,晏妮娜.供应链鲁棒性问题的研究进展.管理学报[J].2007,4(4):521-528
[25]乔红威,吕震宙,李洪双.基于随机响应面法的响应灵敏度分析及稳健优化设计[J].中国机械工程2008,2(3):337-341
[26]sara Mortimer. How to make HACCP really work in practice. Food Control.200l(12):209-215
[27]Den ouden. P.J.P. Zuurbier. Vertical co-operation in agricultural Production-marketing chains with special reference to product differentiation in pork.Agribusiness.1996,12(3):277-290
[28]Jack G.A.J. van der Vorst, Adrie J.M. Beulens, Paul van Beek. Modelling and simulating multi-echelon food systems. European Journal of Operational Research 122 (2000) pp.354-366
[29]Van Der Vorst J,Beuiens A.Identifying Sources of Uncertainty to Generate Supply Chain Redesign and Strategies[J].International Journal of Physical Distribution and Logistics Management,2002,32(6)
[30]Golan E, Krissoff B, Kuchler F, Traceability in the US food supply: dead or super highway. Choices, 2003(2):17-20
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