螺旋式Fuzzy-Topsis算法下的众包供应链的新产品选择分析
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摘要
众包供应链作为一种以"互联网+创新"的新型供应链,正成为当今研究的热点。不同于传统企业内部开发设计新产品,众包供应链企业面对互联网特征的线上设计产品时,存在着网上设计参与者数量过多、消费者强调体验性和设计生产不熟悉等问题,故需从整个供应链角度来考察众包设计的新产品。本文构建众包平台上新产品选择指标,从供应链的角度以众包设计环节、生产制造环节、销售环节和消费者参与环节来进行分析,然后通过螺旋式Fuzzy-Topsis和Vikor对众包设计新产品建立评估模型,最后通过数值分析,将螺旋式Fuzzy-Topsis,Vikor和混合Topsis-Vikor 3种方法结果进行比较,发现混合螺旋式Fuzzy-Topsis和Vikor相互结合算法模型实用可靠,可减少评估误差。
As a new kind of supply chain with "Internet+innovation",crowdsourcing supply chain is becoming a hot topic in today' s research. Different from traditional enterprises to develop new products,when crowdsourcing supply chain enterprises face the Internet characteristics of online design products,there are many problems such as online mass design participants and consumers' emphasis on experiential and design production. Therefore,we need to study the new products from the perspective of the whole supply chain. In this paper,how to choose the construction index of the new products from the crowdsourcing platform is analyzed from the perspective of supply chain,including the crowdsourcing design,manufacturing,sales and consumer participation.Then,by spiraling Fuzzy-Topsis and Vikor to choose new products for the crowdsourcing model. Finally,numerical analysis is conducted to compare the results among spiral Fuzzy-Topsis,Vikor and mixed topsis-vikor three methods. It is found that the spiral Fuzzy-Topsis can more efficiently reduce the error of evaluation than the others.
As a new kind of supply chain with "Internet+innovation",crowdsourcing supply chain is becoming a hot topic in today' s research. Different from traditional enterprises to develop new products,when crowdsourcing supply chain enterprises face the Internet characteristics of online design products,there are many problems such as online mass design participants and consumers' emphasis on experiential and design production. Therefore,we need to study the new products from the perspective of the whole supply chain. In this paper,how to choose the construction index of the new products from the crowdsourcing platform is analyzed from the perspective of supply chain,including the crowdsourcing design,manufacturing,sales and consumer participation.Then,by spiraling Fuzzy-Topsis and Vikor to choose new products for the crowdsourcing model. Finally,numerical analysis is conducted to compare the results among spiral Fuzzy-Topsis,Vikor and mixed topsis-vikor three methods. It is found that the spiral Fuzzy-Topsis can more efficiently reduce the error of evaluation than the others.
引文
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[2]Winsor J.Crowdsourcing,What It Means for Innovation[J].Business Week Online,2009,3(4):156~158.
[3]Arolas E,Guevara F.Towards an Integrated Crowdsourcing Definition[J].Journal of Information Science,2012,38(2):189~200.
[4]Panchal L,Panchal J H.Product Architecture on Mass-collaborative Processes[J].Journal of Computing and Information Science in Engineering,2011,(11):23~46.
[5]Saxton G D,Kishore R.Rules of Crowdsourcing:Models,Issues,and Systems of Control[J].Information Systems Management,2013,30(1):2~20.
[6]姚山季,刘德文.众包模式下顾客参与、顾客互动和新产品价值[J].财经论丛,2016,(10):85~95.
[7]孙茜,刘海波,杨绪勇,等.创新众包平台对接包方中标率的影响机制研究[J].科学学研究,2016,34(2):279~287.
[8]庞建刚,潘丽娟.网络大众参与众包行为的动机——基于主成分分析法的研究[J].科技管理研究,2016,36(10):225~230.
[9]Pong J,Liu Z.Motivation System of Crowdsourcing Community from a Supply Chain Perspective[J].Mathematical Problem in Engineering,2016,2016(6):1~8.
[10]黎继子,刘春玲,张念.“互联网+”下众包供应链运作模式分析——以海尔和苏宁为案例[J].科技进步与对策,2016,33(21):24~31.
[11]黎继子,周兴建,刘春玲,等.众包供应链创新发展路径分析[J].科技进步与对策,2016,33(6):14~19.
[12]王友林,孟亚雯,刘爱琴.虚拟咨询知识产品评价指标体系构建与度量[J].生产力研究,2017,(4):99~103.
[13]刘艳梅,王花娥.模块化的毛衫产品族设计及评价指标[J].纺织学报,2016,37(12):97~102,116.
[14]Beom S J,Yong G J,Kyeyoun C,et al.Development of A Usability Evaluation Framework with Quality Function Deployment:From Customer Sensibility to Product Design[J].Human Factors and Ergonomics in Manufacturing,2009,19(2):177~194.
[15]Chen L H,Weng M C.An Evaluation Approach to Engineering Design in QFD Processes Using Fuzzy Goal Programming Models[J].European Journal of Operational Research,2006,172(1):230~248.
[16]Liu H T.Product Design and Selection Using Fuzzy QFD and Fuzzy MCDM Approaches[J].Applied Mathematical Modelling,2011,35(1):482~496.
[17]Lin M C,Wang C C,Chen M S,et al.Using AHP and TOPSIS Approaches in Customer-driven Product Designs Process[J].Computers in Industry,2008,59(1):17~31.
[18]Ayag Z,Ozdemir R G.A Hybrid Approaches to Concept Selection Through Fuzzy Analytic Network Process[J].Computers&Industrial Engineering,2009,56(1):368~379.
[19]Tzeng G H,Huang J J.Multiple Attribute Decision Making:Methods and Applications[M].Boca Raton:CRC Press,2011:69~76.