Post mass production paradigm (PMPP) trajectories

Author:

Kuehnle Hermann

Abstract

PurposeThe paper intends to contribute to interpretations of present and future developments in manufacturing and manufacturing research. It designs hypothetical expert consolidated projections for the future of manufacturing with the focus on social impacts from information and communications technologies (ICT).Design/methodology/approachIn order to obtain valid projections, Kuhn's theory of scientific revolutions has been applied to production sciences. Since, the paradigm shift to post mass production has become evident, it is clear that manufacturing will be of network type. Since, the point of a “normal science” (Kuhn) is not yet reached, empirical and methodical work is exploited, especially expert discussion results, technology forecasts and field surveys, to draw the baselines for further developments, focussing on development lines on global, regional as well as company scale.FindingsThe paper sketches organisational set ups and ICT applications for future manufacturing in order to be able to point out induced effects on other trends and drivers (especially social and societal). Major changes in role and future behaviour of manufacturing could be verified.Research limitations/implicationsThe paper assumes a specific driver/impact constellation, which emphasises socio‐technical relations and focuses on organisation and ICT use in manufacturing environments as decisive and limiting influences. Other socio/technology interrelations are not regarded as intensively and could be future research fields. Implications on the methods and the instruments to be used for production networks could be sketched.Practical implicationsSome of the methodologies may be downscaled and applied for companies in order to define future strategies. On global, on regional as well as on company level, relevant results may be considered as elements of a future networked manufacturing world.Originality/valueTrends and drivers for future manufacturing have been newly put into network interrelations in order to obtain impact priorities and interaction hypotheses. Ongoing developments are envisioned as embedded in a general paradigm change. The paper draws from extensive research work on the field. It addresses researchers as well as practitioners dealing with manufacturing companies' strategy development.

Publisher

Emerald

Subject

Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications,Control and Systems Engineering,Software

Reference44 articles.

1. Anderson, C. and Bunce, P. (2000), Next Generation Manufacturing Systems (NGMS), White Paper, CAM‐I, Burleson, TX.

2. Barbasi, A‐L. (2005), “Network theory – the emergence of the creative enterprise”, Science, Vol. 308.

3. Bennett, D.J. (1996), “Lean production and work organisation”, International Journal of Operations and Production Management, Vol. 16 No. 2, Special Issue.

4. BMED (2002), Modeling and Simulation in Manufacturing and Defense Acquisition: Pathways to Success, Board on Manufacturing and Engineering Design, Division on Engineering and Physical Sciences, National Research Council, National Academic Press, Washington, DC.

5. Boronowski, M., Herzog, O., Knackfuss, P. and Lawo, M. (2005), “wearIT@work – empowering the mobile worker by wearable computing – the first results”, in Pallot, M. and Pawar, K.S. (Eds), Proceedings of the 1st AMI@Work – Communities Forum Day, Nottingham.

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3