Cited by 19Quality and Supply ManagementManagement and Optimization TechniquesDigital Transformation in Industry

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A Survey on Lean Manufacturing Tools Implementation in Malaysian Food and Beverages Industry Using Rasch Model

Khusaini, Nurul Syuhadah, Jaffar, Ahmed, Noriah, Yusoff·2013·Advanced Materials Research

Abstract

This paper offers a preliminary study on Lean Tools (LT) implementation in Malaysian Food and Beverages Industry. A survey was carried out to determine the most common LT that are currently being implemented in this industry. Out of 1309, a total of 300 organizations have been randomly selected as respondents. The results were analyzed using Rasch Model, and the findings show that the organizations apply only six out of eighteen LT. From the variable map, Kaizen is the most preferable LT, while Single Minute Exchange of Die (SMED) is the least favorable LT. LT such as Just-In-Time (JIT), Value Stream Mapping (VSM) and Poka Yoke is still unfamiliar in current practice in this industry. This shows that, even though the organizations claim that they are Lean Manufacturing (LM) implementers, they are still at the infancy level. Finally, this is perhaps the first attempt in identifying the extent of LT implementation in Malaysian Food and Beverages Industry using Rasch Model.

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References 9 · Cited by 19

Research works printed but not linked: 15

  1. M. Taleghani, Key factors for implementing the lean manufacturing system, Journal of American Science, vol. 6, no. 7, pp.287-291, (2010).
  2. M. Scherrer-Rathje, T. A. Boyle and P. Deflorin, Lean, take two! Reflections from second attempt at lean implementation, Business Horizons, vol. 52, no. 1, pp.79-88, (2009). · DOI
  3. L. Cheng and B. Meng, Why Most Chinese Enterprises Fail in Deploying Lean Production, Asian Social Science, vol. 6, no. 3, pp.52-57, (2010). · DOI
  4. J. P. Womack and D. T. Jones, Lean Thinking, Free Press, (1996).
  5. N. Nordin, B. M. Deros and D. A. Wahab, A Survey on Lean Manufacturing Implementation in Malaysian Automotive Industry, International Journal of Innovation, Management and Technology, pp.374-380, (2010).
  6. W. Y. Cheng, W. K. Yew and A. Ali, A study on lean manufacturing implementation in the Malaysian Electrical and Electronic Industry, European Journal of Scientific Research, vol. 38, no. 4, pp.521-535, (2009).
  7. S. Pavnaskar, J. Gershenson and A. Jambekar, Classification scheme for lean manufacturing tools, International Journal of Production Research, vol. 41, no. 13, pp.3075-3090, (2003). · DOI
  8. T. G. Bond and C. M. Fox, Applying the Rasch Model 2nd Edition, New York, London: Routledge, (2012). · DOI
  9. S. Masodi, Introduction to Rasch Model Analysis Workshop, Shah Alam: Universiti Teknologi Mara, (2013).
  10. U. Sekaran, Research Methods for Business: A skill building approach : Fourth Edition, Singapore: John Wiley and Sons, (2005).
  11. S. Masodi, Rasch Model Workshop, Bangi, January (2013).
  12. S. J. Warwood and G. Knowles, Emerald Article : An investigation into Japanese 5-S practice in UK industry, The TQM Magazine, vol. 16, no. 5, pp.347-353, (2004). · DOI
  13. F. A. Abdulmalek, J. Rajgopal and K. L. Needy, A Classification Scheme for the Process Industry to Guide the Implementation of Lean, Engineering Management Journal, vol. 18, no. 2, pp.15-26, (2006). · DOI
  14. U. Lehtinen and M. Torkko, The Lean Concept in the Food Industry: A Case Study of Contract a Manufacturer, Journal of Food Distribution Research, vol. 36, no. 3, pp.57-67, (2005).
  15. I. Dekic, Lean Manufacturing in Two Serbian Food Companies - Case Studies, International Journal of Quality Research, vol. 3, pp.657-663, (2012).

Metadata

Authors
Khusaini, N. S., Jaffar, A., & Noriah, Y.
Affiliations
  • Universiti Teknologi MARA System (MY)
  • Universiti Teknologi MARA (UiTM)
Corresponding author
Khusaini, Nurul Syuhadah
Venue
Advanced Materials Research
Published
2013-12-04
Volume
845
Pages
642-646
ISSN
  • 1022-6680 (ISSN-L)
  • 1662-8985
OpenAlex
W2071160164
Cited by
19
References
9
Citations by year
2025: 1 · 2024: 5 · 2023: 4 · 2022: 1 · 2021: 3 · 2020: 1 · 2019: 1 · 2017: 1 · 2016: 1 · 2015: 1
FWCI
1.35
Type
journal article
Language
en
Open access
closed
Locations
Advanced materials research (publishedVersion)
Funders
  • Universiti Teknologi MARA
  • Universiti Teknologi Malaysia
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Management and Optimization Techniques
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
Keywords
lean manufacturing, lean tools implementation, food and beverage industry, Malaysian food industry, Kaizen, SMED, just-in-time, value stream mapping, poka-yoke, Rasch model

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