From Manufacturing to Intelligent Manufacturing:How to Implement Lean Digitalization in Traditional Manufacturing Enterprises Under the Perspective of Heterogeneous Property Rights
Jing Shuwei1, Feng Yue1, Yan Junai1, Niu Zhanwen2
1. School of Management Science and Engineering,Shanxi University of Finance and Economics,Taiyuan 030006,China; 2. College of Management and Economics,Tianjin University,Tianjin 300072,China
Abstract：This research takes the lean digital practice of many traditional manufacturing enterprises as samples aiming at the state-owned property and private property rights.ARAS-F and fsQCA methods are used to explore the influencing factors and the multiple concurrent causal relationship among the factors of lean digitalization in the“point,line,plane,cube”stages for two property rights of traditional manufacturing enterprises.The results show the followings.①The four stages of“point,line,plane,cube”have different influencing factors for the implementation of lean digitalization,and all internal and external influencing factors cannot be used alone as necessary conditions for the efficient implementation of lean digitalization in the four stages of“point,line,plane,cube”.Several paths that need to be linked and matched in the form of configuration are proposed.②Aiming at the four stages of“point,line,plane,cube”,this study puts forward several effective combination paths of lean digitalization for traditional manufacturing enterprises of state-owned and private nature,and each path has the same goal and different effect.③For traditional manufacturing enterprises of state-owned and private nature,in addition to the focus on supply chain coordination in the“plane”stage,the emphasis of lean digitalization is different in the three stages of“point,line,cube”.
荆树伟, 冯月, 阎俊爱, 牛占文. 从制造到智造:产权性质异质下传统制造型企业如何推行精益数字化[J]. 中国科技论坛, 2022(8): 77-88.
Jing Shuwei, Feng Yue, Yan Junai, Niu Zhanwen. From Manufacturing to Intelligent Manufacturing:How to Implement Lean Digitalization in Traditional Manufacturing Enterprises Under the Perspective of Heterogeneous Property Rights. , 2022(8): 77-88.
[1]HODGE G L,GOFORTH R K,JOINES J A,et al.Adapting lean manufacturing principles to the textile industry[J].Production planning and control,2011,22(3):237-247. [2]PIERCY N,RICH N.The relationship between lean operations and sustainable operations[J].International journal of operations and production management,2015,35(2):282-315. [3]VONDEREMBSE M A,UPPAL M,HUANG S H,et al.Designing supply chains:towards theory development[J].International journal of production economics,2006,100(2):223-238. [4]STIMEC A,GRIMA F.The impact of implementing continuous improvement upon stress within a lean production framework[J].International journal of production research,2019,57(5):1590-1605. [5]ALSMADI M,ALMANI A,JERISAT R.A comparative analysis of lean practices and performance in the UK manufacturing and service sector firms[J].Total quality management & business excellence,2012,23(3-4):381-396. [6]HAJMOHAMMAD S,VACHON S,KLASSEN R D,et al.Reprint of lean management and supply management:their role in green practices and performance[J].Journal of cleaner production,2013,56:86-93. [7]SHAH R,WARD P T.Lean manufacturing:context,practice bundles,and performance[J].Journal of operations management,2003,21(2):129-149. [8]YU H,AL-HUSSEIN M,AL-JIBOURI S,et al.Lean transformation in a modular building company:a case for implementation[J].Journal of management in engineering,2013,29(1):103-111. [9]DALENOGARE L S,BENITEZ G B,AYALA N F,et al.The expected contribution of industry 4.0 technologies for industrial performance[J].International journal of production economics,2018,204(1):383-394. [10]BEN D M,HASSINI E,BAHROUN Z.Internet of things and supply chain management:a literature review[J].International journal of production research,2019,57(15/16):4719-4742. [11]TAO F,CHENG J,QI Q,et al.Digital twin-driven product design,manufacturing and service with big data[J].The international journal of advanced manufacturing technology,2018,94(9-12):3563-3576. [12]GHOBAKHLOO M.Industry 4.0,digitization,and opportunities for sustainability[J].Journal of cleaner production,2020,252:1-21. [13]GARAY R C L,MARTINEZ F J L,SMITH N R.Digital supply chain model in industry 4.0[J].Journal of manufacturing technology management,2020,31(5):887-933. [14]TORTORELLA G L,FETTERMANN D.Implementation of industry 4.0 and lean production in Brazilian manufacturing companies[J].International journal of production research,2018,56(8):2975-2987. [15]NIAKI M K,TORABI S A,NONINO F.Why manufacturers adopt additive manufacturing technologies:the role of sustainability[J].Journal of cleaner production,2019,222(1):381-392. [16]KUSIAK A.Smart manufacturing[J].International journal of production research,2018,56(1-2):508-517. [17]YIN Y,STECKE K E,LI D.The evolution of production systems from industry 2.0 through industry 4.0[J].International journal of production research,2018,56(1-2):848-861. [18]周长富,杜宇玮.代工企业转型升级的影响因素研究——基于昆山制造业企业的问卷调查[J].世界经济研究,2012(7):23-28,86-88. [19]HONG T S,GHOBAKHLOO M.IT investments and product development effectiveness:Iranian SBs[J].Industrial management and data systems,2013,113(2):265-293. [20]曾繁华,侯晓东,吴阳芬.“双创四众”驱动制造业转型升级机理及创新模式研究[J].科技进步与对策,2016,33(23):44-50. [21]YU F,WANG L,LI X.The effects of government subsidies on new energy vehicle enterprises:the moderating role of intelligent transformation[J].Energy policy,2020,141:1-8. [22]STEIBER A,ALÄNGE S,GHOSH S,et al.Digital transformation of industrial firms:an innovation diffusion perspective[J].European journal of innovation management,2020,24(3):799-819. [23]SVAHN F,MATHIASSEN L,LINDGREN R.Embracing digital innovation in incumbent firms:how volvo cars managed competing concerns[J].MIS quart,2017,41(1):239-253. [24]GARZONI A,DE T I,SECUNDO G,et al.Fostering digital transformation of SMEs:a four levels approach[J].Management decision,2020,58(8):1543-1562. [25]WEI Z,SONG X,WANG D.Manufacturing flexibility,business model design,and firm performance[J].International journal of production economic,2017,193:87-97. [26]LI F.Leading digital transformation:three emerging approaches for managing the transition[J].International journal of operations and production management,2020,40(6):809-817. [27]MERGEL I,EDELMANN N,HAUG N.Defining digital transformation:results from expert interviews[J].Government information quarterly,2019,36(4):1-16. [28]YILDIRIM B F,MERCANGOZ B A.Evaluating the logistics performance of OECD countries by using fuzzy AHP and ARAS-G[J].Eurasian economic review,2020,10(1):27-45. [29]张逸昕,崔茂中.产业资源承载力界定及其技术方法支持——专家评分法和层次分析法的综合应用[J].管理现代化,2011(5):33-35. [30]薛松,张珍珍.基于Fuzzy-DEMATEL的PPP项目协同监管影响因素识别与分析[J].软科学,2021,35(7):104-115. [31]高沛然,张金隆,艾学轶,等.PLS-DEMATEL方法及其应用研究——以组织敏捷性的IT影响因素分析为例[J].运筹与管理,2018,27(3):126-132. [32]王瑛,曹玮,罗珍.考虑专家信度的科技成果立体式综合评价模型[J].软科学,2008(6):6-10. [33]RICHTER A,LEYER M,STEINHÜSER M.Workers united:digitally enhancing social connectedness on the shop floor[J].International journal of information management,2020,52:1-10. [34]HUANG C F,XU R,ZHANG X L.Government subsidies,overcapacity and enterprise transformation and upgrading:an empirical study based on listed companies in manufacturing industry[J].Enterprise economy,2018,37(3):160-168. [35]王亚,李桂华,李园园,等.转型背景下中国制造业的创新激励:“行政型”激励还是“经济型”激励——基于制造业不同产权上市企业的对比研究[J].中国科技论坛,2021(4):75-84. [36]陈红,刘霞,刘东霞,等.企业双元战略、互补资产与创新绩效——基于模糊集定性比较分析[J].中国科技论坛,2021(4):102-109. [37]FISS P C.Building better causal theories:a fuzzy set approach to typologies in organization research[J].Academy of management journal,2011,54(54):393-420. [38]RAGIN C C.The comparative method:moving beyond qualitative and quantitative strategies[M].Berkeley:University of California Press,2014. [39]ORDANINI A,PARASURAMAN A,RUBERA G.When the recipe is more important than the ingredients:a qualitative comparative analysis(QCA)of service innovation configurations[J].Journal of service research,2014,17:134-149.
2022, 
