基于熵理论的农超对接模式下果蔬供应链脆性研究
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摘要
农超对接模式下果蔬供应链是一般模式下果蔬供应链减少中间坏节并进行供应链有效整合的一种新型果蔬供应链模式。随着我国经济的高速发展,人们生活水平逐渐提高,人们对果蔬农产品的质量要求越来越高,农超对接模式的应用越来越受到重视。
农超对接的关键是对供应链资源的有效整合,其运营效率的高低主要取决于供应链资源能否达到最优配置,而深入了解供应链脆性的内涵,对供应链脆性进行定性定量的分析,有助于识别和规避供应链脆性风险,以最小的供应链脆性风险损失获得最优的供应链资源配置,是保证农超对接模式在果蔬供应链领域高效运营的根本。
本文从一般模式下果蔬供应链和农超对接模式下果蔬供应链现状的对比分析入手,在客观分析农超对接模式下果蔬供应链的运作过程及其优点的基础上,进一步定性分析农超对接模式下果蔬供应链的脆性,对农超对接模式下果蔬供应链脆性的内涵和结构以及整体脆性度和脆性关联度进行详细阐述。然后利用熵理论,对农超对接模式下果蔬供应链脆性进行数学建模,并以WM超市为例进行算例分析,定量求解农超对接模式下果蔬供应链的整体脆性度以及各子系统之间的脆性关联度,并结合熵理论和WM超市农超对接模式下果蔬供应链的算例分析结果,为WM超市提出农超对接模式下果蔬供应链脆性风险规避对策,使理论在实践中应用。
Farming-Supermarket Docking supply chain of the fruits and vegetables is one kind of new supply chain of the fruits and vegetables that reduce the intermediate link and integrate the supply chain. With the high development of the economic in our country, the standard of living of our people have improved gradually, and the more needs for the quality of the fruits and vegetables, and more attentions have been given to the apply of the Farming-Supermarket Docking.
The key to the Farming-Supermarket Docking is the integration of the common supply chain; the efficiency is decided by whether the resource of the supply chain has gotten the optimal situation. While good understand of the brittleness of the supply chain, qualitative and quantitative analysis to the brittleness of the supply chain, is help to distinguish and avoid the risk of the brittleness, so that we can get the best resource with the lowest lost. And this is the base to keep the Farming-Supermarket Docking going effectively in the area of the supply chain of the fruits and vegetables.
This dissertation proceeds with identifying the differences between the common supply chain and Farming-Supermarket Docking supply chain of the fruits and vegetables. In this condition, I get a deep understand about the process of Farming-Supermarket Docking supply chain of the fruits and vegetables and the predominance of Farming-Supermarket Docking. Then I qualitatively analyze the brittleness of Farming-Supermarket Docking supply chain of the fruits and vegetables. And I set forth the signification and the configuration of the brittleness of Farming-Supermarket Docking supply chain of the fruits and vegetables, as well as the concept of the whole brittleness and the conjunction of the brittleness. What's more, I introduce the entropy theory to develop a mathematical model on the brittleness of Farming-Supermarket Docking supply chain of the fruits and vegetables. Then I set an example of WM supermarket to compute the result of its whole brittleness and the conjunction of the brittleness among the parts. According the results, I put forward a corresponding scheme to avoid the risks resulted in the brittleness of Farming-Supermarket Docking supply chain of the fruits and vegetables in WM supermarket, so that the result of the dissertation can be used in practice.
农超对接的关键是对供应链资源的有效整合,其运营效率的高低主要取决于供应链资源能否达到最优配置,而深入了解供应链脆性的内涵,对供应链脆性进行定性定量的分析,有助于识别和规避供应链脆性风险,以最小的供应链脆性风险损失获得最优的供应链资源配置,是保证农超对接模式在果蔬供应链领域高效运营的根本。
本文从一般模式下果蔬供应链和农超对接模式下果蔬供应链现状的对比分析入手,在客观分析农超对接模式下果蔬供应链的运作过程及其优点的基础上,进一步定性分析农超对接模式下果蔬供应链的脆性,对农超对接模式下果蔬供应链脆性的内涵和结构以及整体脆性度和脆性关联度进行详细阐述。然后利用熵理论,对农超对接模式下果蔬供应链脆性进行数学建模,并以WM超市为例进行算例分析,定量求解农超对接模式下果蔬供应链的整体脆性度以及各子系统之间的脆性关联度,并结合熵理论和WM超市农超对接模式下果蔬供应链的算例分析结果,为WM超市提出农超对接模式下果蔬供应链脆性风险规避对策,使理论在实践中应用。
Farming-Supermarket Docking supply chain of the fruits and vegetables is one kind of new supply chain of the fruits and vegetables that reduce the intermediate link and integrate the supply chain. With the high development of the economic in our country, the standard of living of our people have improved gradually, and the more needs for the quality of the fruits and vegetables, and more attentions have been given to the apply of the Farming-Supermarket Docking.
The key to the Farming-Supermarket Docking is the integration of the common supply chain; the efficiency is decided by whether the resource of the supply chain has gotten the optimal situation. While good understand of the brittleness of the supply chain, qualitative and quantitative analysis to the brittleness of the supply chain, is help to distinguish and avoid the risk of the brittleness, so that we can get the best resource with the lowest lost. And this is the base to keep the Farming-Supermarket Docking going effectively in the area of the supply chain of the fruits and vegetables.
This dissertation proceeds with identifying the differences between the common supply chain and Farming-Supermarket Docking supply chain of the fruits and vegetables. In this condition, I get a deep understand about the process of Farming-Supermarket Docking supply chain of the fruits and vegetables and the predominance of Farming-Supermarket Docking. Then I qualitatively analyze the brittleness of Farming-Supermarket Docking supply chain of the fruits and vegetables. And I set forth the signification and the configuration of the brittleness of Farming-Supermarket Docking supply chain of the fruits and vegetables, as well as the concept of the whole brittleness and the conjunction of the brittleness. What's more, I introduce the entropy theory to develop a mathematical model on the brittleness of Farming-Supermarket Docking supply chain of the fruits and vegetables. Then I set an example of WM supermarket to compute the result of its whole brittleness and the conjunction of the brittleness among the parts. According the results, I put forward a corresponding scheme to avoid the risks resulted in the brittleness of Farming-Supermarket Docking supply chain of the fruits and vegetables in WM supermarket, so that the result of the dissertation can be used in practice.
引文
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[40]Cabrilovich, Evqeniy. Overcoming the brittleness bottleneck using Wikipedia: Enhancing text categorization with encyclopedic knowledge[C]. Proceedings of the National Conference on Artificial Intelligence.2.1301-1306.
[41]Sodhi, ManMohan S, Tang, Christopher S. The incremental bullwhip effect of operational deviations in an arborescent supply chain with requirements planning[J]. European Joural of Operational Research.2011.215 (2).374-382.
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[43]楼高翔,曾赛星,郑忠良.集成创新的范式演变：从个体创新到供应链技术创新协同[J].科技管理研究.2008.28(3).1-5.
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[2]沈默.基.于“农超对接”模式的联动效益研究[J].农业经济.2010.11(15).1-3.
[3]滕荣刚、胡定寰等.日本农业协同组织的发展新动向与面临的挑战——日本经验对中国农民合作社的启示[J].农业经济问题.2009.2(62).21-26.
[4]胡定寰、曾祥明.“农超对接”模式的机遇与挑战——我国超市发展的第三次革命[J].超市周刊.2009.8(19).89-95.
[5]姜增伟.“超市+专业合作社+农户”是“农超对接”的有效模式[J].中国农民合作社.2010.1(8).34.
[6]张琼.“农超对接”的困局与破解策略[J].北方经济.2010.3(3).71-73.
[7]马风棋.农超对接模式对超市的影响及对策探讨[J].安徽农业科学.2010.38(9).4959—4968.
[8]张浩,安玉发.农超对接流通模式发展趋势展望[J].农业展望.2010.1(4).39-42.
[9]陈娆,杨为民.基于供应链的“农超对接”机理研究[J].农业经济.2012.1(2).15-21.
[10]钟波,谢挺.供应链系统的脆性模型研究[J].中国管理科学.2005.10(13).1-2.
[ll]Norrman and Jansson Norrman, A., & Jansson, U. Ericsson's proactive supply chain risk management approach after a serious sub-supplier accident[J]. International Journal of Physical Distribution and Logistics Management. 2004.5 (34).434-456.
[12]Marley Marley, K. A. Mitigating supply chain disruptions:essays on lean management, integrative complexity and tight coupling[J]. Ph. D. Thesis. The Ohio State University.2006.12 (5).3-6.
[13]Hendricks and Singhal Hendricks, K., & Singhal, V. R. The effect of supply chain glitches on shareholder wealth[J]. Journal of Operations Management.2003.21 (5) 501-522.
[14]Hendricks and Singhal Hendricks, K & Singhal, V. R. The effect of supply chain disruptions on longterm shareholder value, profitability, and share price volatility[J]. Research report. Atlanta, USA:Georgia Institute of Technology.2005.4(32).78-79.
[15]Craighead et al. Craighead, C. W., Blackhurst, J., Rungtusanatham, M. J., & Handfiels, R. B. The severity of supply chain disruptions:Design characteristics and mitigation capabilities[J]. Decision Science.2007.38 (1).131-156.
[16]Schmitt, A. J., Snyder, L. V., Shen, Z. M. Inventory systems with stochastic demand and supply:properties and approximations[J]. European Journal of Operational Research. 2010. 206(23).313-328.
[17]Trkman, P., McCormack, K.. Supply chain risk inturbulent environments—a conceptual model for managing supply chain network risk[J]. International Journal of Production Economics.2009. 119(51).247-258.
[18]Kleindorfer and Saad Kleindorfer, P. R. & Saad, G. H. Managing disruption risks in supply chain Production and Operations Management [J].2005.14 (1).53-68.
[19]刁力,刘西林.基于蚁群算法的供应链系统脆性研究[J].华东交通火学学报.2007.2 (24).1-2.
[20]严太华,艾向军.基于复杂系统脆性理论的金融体系脆弱性结构模型的份额建立[J].重庆广播电视大学学报.2007.2(10).36-37.
[21]Jukka Hallikas, Iris Karvonen, Urho Pulkkinen, Veli-Matto Virolainen, Markku Tuominen. Risk Management Process in Supplier Networks[J]. International Journal of Production Economics.2004.2 (90).47-58.
[22]Peter Finch. Supply Chain Risk Management[J].Journal of Supply Chain Management.2004.9 (2).183-196.
L23]马士华.供应链企业的风险防范机制[J].供应链管理.2002.12(5).1-6.
[24]胡金环,周启蕾.供应链脆性风险管理探讨[J].价值工程.2005.3(1).36-39.
[25]张学文,赵文桐.质疑某些大气熵的计算[J].新疆气象.2001.4(17).11-12.
[26]鲁晨光.投资组合和信息价值新理论用于预测评价和优化[J].预测.1997.1(2).67-69.
[27]胡霞,任佩瑜.基于管理熵的企业战略管理评价体系[J].经济管理.2003.12(61).22-23.
[28]宋华岭,王今.广义与侠义管理熵理论[J].管理工程学报.2000.1(14).42-43.
[29]刘明,周俊,曹海平.基于脆性熵理论的“E-PID”控制算法的研究[J].数字技术与应用.2011.8(53).26-28.
[30]郭永辉.基于熵理论的设计链优化研究[J].机械设计与制造.2009.9(31).61-62.
[31]M. Laura Donnet, Dave D. Weatherspoon and Charles B. Moss Measuring Food Product Differentiation by Quality Ratings:A Cross-Entropy Analysis of Specialty[J]. Coffee e-Auctions Journal of Agricultural Economics. 2010.9(23).122-137.
[32]S. Allesina, A. Azzi, D. Battini, A. Regattieri. Performance measurement in supply chains:new network analysis and entropic indexes[J]. International Journal of Production Research. 2012. 8 (48).2297-2321.
[33]Wynstra F.Axelsson B. Weele A V. Driving and enabling factors for purchasing involvement in product development [J]. European Journal of Purchasing & Supply Management.2000.6 (2).129-141.
[34]Shin H. Collier D A. Wilson D D. Supply management orientation and supplier/buyer performance[J]. Journalof Operations Management.2000.18 (3).317-333.
[35]Jukka Hallikas,Iris Karvonen, Urho Pulkkinen,Veli-Matto Virolainen,Markku Tuominen. Risk Management Process in Supplier Networks[J]. International Journal of Production Economics.2004.90(10).47-58.
[36]Guo Yong-hui, Feng Yuan.System Optimization for Design Chain Based on Entropy Theory[C].2009 Pacific-Asia Conference on Circuits.Communications and System.
[37]Stanley E Fawett,Linda L Stanley,Sheldon R smith. Developing a logistics capability to improve the performance of international operations[J]. Journal of business logistics of business logistics.1997. 18 (2).101-127.
[38]Yan Wang. Study of supply chain's brittleness based on complex system brittle theory[C]. IEEE International Conference on Grey Systems and Intellignet Services .2007.1199-1203.
[39]Kang Youcai.The supply chain brittle risk analysis based on maximum entropy theory[C]. Logistics for Sustained Economic Development-Infrastructure Information. Integration-Proceeding of the 2010 International Conference of Logistics Engineering and Management.387.4607-4613.
[40]Cabrilovich, Evqeniy. Overcoming the brittleness bottleneck using Wikipedia: Enhancing text categorization with encyclopedic knowledge[C]. Proceedings of the National Conference on Artificial Intelligence.2.1301-1306.
[41]Sodhi, ManMohan S, Tang, Christopher S. The incremental bullwhip effect of operational deviations in an arborescent supply chain with requirements planning[J]. European Joural of Operational Research.2011.215 (2).374-382.
[42]司春林,段秉乾,乾桂生.供应链上下游企业合作研发模式选择[J].研究与发展管理.2005.17(2).77-98.
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