Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Development of a framework for agile manufacturing

Development of a framework for agile manufacturing In the past, the insufficiency of the traditional business practices to meet vibrant customer demands in continuously changing business environment has severely affected organizational competitiveness. The purpose of this paper is to develop and propose a new framework for smoother and effective implementation of agile manufacturing by identifying and integrating a set of significant agility principles and techniques.Design/methodology/approachThe present work proposed a framework for agile manufacturing by deploying the comparative analysis of 17 frameworks published in peer-reviewed journals.FindingsThe proposed conceptual framework constitutes of eight pillars for agile manufacturing implementation. The proposed framework relies on a strong foundation of leadership support. The roof of the proposed framework of agile manufacturing is supported by the pillars constituted of seven elements, an industry must deploy for successfully implementing agile manufacturing, namely, human resource-related issues, organizational culture-related issues, supplier-related issues, customer-related issues, innovation, concurrent engineering and information technology.Originality/valueThis work is the first attempt, in the best knowledge of the authors, to employ comparative analysis for critically analyzing a wide range of agile manufacturing frameworks. The findings of this study will assist researchers and managers in agile manufacturing implementation in more a smoother and effective way in manufacturing industries. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png World Journal of Science, Technology and Sustainable Development Emerald Publishing

Development of a framework for agile manufacturing

Download PDF
9 pages

Loading next page...
 
/lp/emerald-publishing/development-of-a-framework-for-agile-manufacturing-R0Fa10Vsep
Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2042-5945
DOI
10.1108/wjstsd-05-2019-0022
Publisher site
See Article on Publisher Site

Abstract

In the past, the insufficiency of the traditional business practices to meet vibrant customer demands in continuously changing business environment has severely affected organizational competitiveness. The purpose of this paper is to develop and propose a new framework for smoother and effective implementation of agile manufacturing by identifying and integrating a set of significant agility principles and techniques.Design/methodology/approachThe present work proposed a framework for agile manufacturing by deploying the comparative analysis of 17 frameworks published in peer-reviewed journals.FindingsThe proposed conceptual framework constitutes of eight pillars for agile manufacturing implementation. The proposed framework relies on a strong foundation of leadership support. The roof of the proposed framework of agile manufacturing is supported by the pillars constituted of seven elements, an industry must deploy for successfully implementing agile manufacturing, namely, human resource-related issues, organizational culture-related issues, supplier-related issues, customer-related issues, innovation, concurrent engineering and information technology.Originality/valueThis work is the first attempt, in the best knowledge of the authors, to employ comparative analysis for critically analyzing a wide range of agile manufacturing frameworks. The findings of this study will assist researchers and managers in agile manufacturing implementation in more a smoother and effective way in manufacturing industries.

Journal

World Journal of Science, Technology and Sustainable Development – Emerald Publishing

Published: Sep 13, 2019

Keywords: Agile manufacturing; Business performance; Manufacturing industry

References

  • Towards agile manufacturing: models of competition and performance outcomes
    Adeleye, E.O.; Yusuf, Y.Y.
  • Statistical analyses and modeling of the implementation of agile manufacturing tactics in industrial firms
    AL-Tahat, M.D.; Bataineh, K.M.
  • Workforce agility: the new employee strategy for the knowledge economy
    Breu, K.; Hemingway, C.J.; Strathern, M.; Bridger, D.
  • The impact of alignment between virtual enterprise and information technology on business performance in an agile manufacturing environment
    Cao, Q.; Dowlatshahi, S.
  • Agile manufacturing: framework and its empirical validation
    Dubey, R.; Gunasekaran, A.
  • Supply chain agility, adaptability and alignment
    Dubey, R.; Altay, N.; Gunasekaran, A.; Blome, C.; Papadopoulos, T.; Childe, S.J.
  • Applying path analysis method in defining effective factors in organizational agility
    Eshlaghy, A.T.; Mashayekhi, A.N.; Rajabzadeh, A.; Razavian, M.M.
  • Business excellence via advanced manufacturing technology and lean-agile manufacturing
    Ghobakhloo, M.; Azar, A.
  • Analysis of the structural measures of flexibility and agility using a measurement theoretical framework
    Giachetti, R.E.; Martinez, L.D.; Saenz, O.A.; Chen, C.S.
  • Agile manufacturing enablers for Finnish steel products network
    Gore, A.; Haapasalo, H.; Tahtinen, T.
  • Agile manufacturing: enablers and an implementation framework
    Gunasekaran, A.
  • Agile manufacturing: a framework for research and development
    Gunasekaran, A.
  • Agile manufacturing: an evolutionary review of practices
    Gunasekaran, A.; Yusuf, Y.Y.; Adeleye, E.O.; Papadopoulos, T.; Kovvuri, D.; Geyi, D.G.
  • Lean and agile manufacturing: external and internal drivers and performance outcomes
    Hallgren, M.; Olhager, J.
  • A study of barriers to agile manufacturing
    Hasan, M.A.; Shankar, R.; Sarkis, J.
  • A study of enablers of agile manufacturing
    Hasan, M.A.; Shankar, R.; Sarkis, J.; Suhail, A.; Asif, S.
  • Agile manufacturing: the next logical step
    Hormozi, A.M.
  • Agile manufacturing: relation to JIT, operational performance and firm performance
    Inman, R.A.; Sale, R.S.; Green, K.W.; Whitten, D.
  • An integrated framework of interpretive structural modeling and graph theory matrix approach to fix the agility index of an automobile manufacturing organization
    Kumar, P.; Singh, R.K.; Kumar, R.
  • Agile manufacturing practices for new product development: industrial case studies
    Leite, M.; Braz, V.
  • A fuzzy embedded leagility assessment module in supply chain
    Matawale, C.R.; Datta, S.; Mahapatra, S.S.
  • Analyzing organizational project alternatives for agile manufacturing process: an analytical network approach
    Meade, L.M.; Sarkis, J.
  • Implementing agility appraisement module in fuzzy context: an Indian perspective
    Mishra, S.; Datta, S.; Mahapatra, S.S.
  • Agility barriers analysis in the Malaysian Palm Oil industry
    Mukherjee, A.; Kamarulzaman, N.H.; Shamsudin, M.N.; Latif, I.A.
  • Agile manufacturing and business performance: the indirect effects of operational performance dimensions
    Nabass, E.H.; Abdallah, A.B.
  • Agility, organisational learning culture and relationship quality in the port sector
    Pantouvakis, A.; Bouranta, N.
  • Information communication technologies (ICTs) and knowledge sharing: the case of professional accountants in Malaysia
    Phang, M.M.S.; Foong, S.
  • Performance analysis of agile manufacturing: a case study on an Indian auto component manufacturer
    Potdar, P.K.; Routroy, S.
  • Analyzing the agile manufacturing barriers using fuzzy DEMATEL
    Potdar, P.K.; Routroy, S.; Behra, A.
  • Combining lean and agile characteristics: creation of virtual groups by enhanced production flow analysis
    Prince, J.; Kay, J.M.
  • Forty criteria based agility assessment using scoring approach in an Indian relays manufacturing organization
    Raj, S.A; Vinodh, S.
  • Application of hybrid MCDM techniques for prioritizing the gaps in an agile manufacturing implementation project
    Raj, S.A.; Vinodh, S.; Gaurav, W.S.; Sundaram, S.S.
  • The effects of agile attributes on competitive priorities: a neural network approach
    Ren, J.; Yusuf, Y.Y.; Burns, N.D.
  • Measurement of manufacturing agility: a case study
    Routroy, S.; Potdar, P.K.; Shankar, A.
  • A combined AHP- and DEA-based approach to measure agility of manufacturing systems
    Saleeshya, P.G.; Babu, A.S.
  • Fuzzy evaluation modelling to assess organisational agility
    Samantra, C.; Datta, S.; Mishra, S.; Mahapatra, S.S.
  • A methodology for achieving agility in manufacturing organizations: an introduction
    Sharifi, H.; Zhang, Z.
  • Working towards agile manufacturing in the UK industry
    Sharp, J.; Irani, Z.; Desai, S.
  • Modelling the attributes affecting design and implementation of agile manufacturing system
    Sindhwani, R.; Malhotra, V.
  • Modelling and analysis of agile manufacturing system by ISM and MICMAC analysis
    Sindhwani, R.; Malhotra, V.
  • Voyaging of agile manufacturing: from Iacocca Institute to pump industry
    Thilak, V.M.M.; Devadasan, S.R.; Sunil, D.T.; Vinod, M.; Murugesh, R.
  • Agility drivers, enablers and outcomes
    Vazquez-Bustelo, D.; Avella, L.; Fernandez, E.