Employment of Set Operations to Improve LMP Assessments Design and Implementation

Authors

Malek Khalaf Albezuirat  View ORCID Profile 1 , Rosmaini Ahmad  2 , Muhammad Iqbal Hussain  3 , Falah Mustafa Al-Saraireh  4 , Asia Khalaf Albzeirat  5
School of Manufacturing Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia 1 , School of Manufacturing Engineering, Universiti Malaysia Perlis, Kampus Alam Pauh Putra, 02600 Arau, Perlis Malaysia 2 , School of Manufacturing Engineering, Universiti Malaysia Perlis, Kampus Alam Pauh Putra, 02600 Arau, Perlis Malaysia 3 , Department of Mechanical Engineering, Mutah University, Mutah, Alkarak, Jordan 4 , Department of Math, Mutah University, Mutah, Alkarak, Jordan 5
“crossref”/
Views: 1228  
Downloads: 989  

Main Article Content

Abstract

Objective - This paper aims to provide a new mathematical model for the construction of assessment tools for Lean Manufacturing Practices (LMP) through the integration process with the set operations. This study also strives to develop key elements to enhance the effectiveness of LMP assessments and their impact through mathematical interrelationship. 


Problem - Previous studies have shown a lack of clear mathematical methodology to carry out a rigorous assessment of the LMP effects on the firm’s operational and financial performance. Therefore, this paper tries to address this aspect by developing new equations. 


Design - The methodology of this study is based on the conversion of the linguistic description (companies, processes, waste, practices) into numerical measurement model by integrating with set theory. 


Finding - The results show a set of relationships and equations that can be applied to be a fundamental basis for ensuring the effectiveness of the assessment. This paper may contribute to the improvement of LMP’s design and development.

Article Details

Albezuirat, M. K., Ahmad, R., Hussain, M. I., Al-Saraireh, F. M., & Albzeirat, A. K. (2019). Employment of Set Operations to Improve LMP Assessments Design and Implementation. SEISENSE Journal of Management, 2(1), 33-46. https://doi.org/10.33215/sjom.v2i1.56
Research Articles

Copyright (c) 2019 Malek Khalaf Albezuirat, Rosmaini Ahmad, Muhammad Iqbal Hussain, Falah Mustafa Al-Saraireh, Asia Khalaf Albzeirat

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Albzeirat, M. K., Hussain, M. I., Ahmad, R., Al-Saraireh, F. M., & Ahmad, I. (2018). A Novel Mathematical Logic for Improvement Using Lean Manufacturing Practices. Journal of Advanced Manufacturing Systems, 17(03), 391-413. Doi: 10.1142/S0219686718500233. DOI: https://doi.org/10.1142/S0219686718500233 CrossrefGoogle Scholar

Alefari, M., Salonitis, K., & Xu, Y. (2017). The role of leadership in implementing lean manufacturing. Procedia CIRP, 63, 756-761. Doi: 10.1016/j.procir.2017.03.169. DOI: https://doi.org/10.1016/j.procir.2017.03.169 CrossrefGoogle Scholar

Alhuraish, I., Robledo, C., & Kobi, A. (2017). A comparative exploration of lean manufacturing and six sigma in terms of their critical success factors. Journal of cleaner production, 164, 325-337. Doi: 10.1016/j.jclepro.2017.06.146. DOI: https://doi.org/10.1016/j.jclepro.2017.06.146 CrossrefGoogle Scholar

Alhuraish, I., Robledo, C., & Kobi, A. (2017). A comparative exploration of lean manufacturing and six sigma in terms of their critical success factors. Journal of cleaner production, 164, 325-337. Doi: 10.1016/j.ifacol.2016.07.550. DOI: https://doi.org/10.1016/j.ifacol.2016.07.550 CrossrefGoogle Scholar

Arunagiri, P., & Gnanavelbabu, A. (2014). Identification of major lean production waste in automobile industries using weighted average method. Procedia Engineering, 97, 2167-2175. DOI: https://doi.org/10.1016/j.proeng.2014.12.460 CrossrefGoogle Scholar

Chen, J. C., Cheng, C. H., & Huang, P. B. (2013). Supply chain management with lean production and RFID application: A case study. Expert Systems with Applications, 40(9), 3389-3397. Doi: 10.1016/j.eswa.2012.12.047. DOI: https://doi.org/10.1016/j.eswa.2012.12.047 CrossrefGoogle Scholar

Cil, I., & Turkan, Y. S. (2013). An ANP-based assessment model for lean enterprise transformation. The International Journal of Advanced Manufacturing Technology, 64(5-8), 1113-1130. Doi : 10.1007/s00170-012-4047-x. DOI: https://doi.org/10.1007/s00170-012-4047-x CrossrefGoogle Scholar

Dora, M., Kumar, M., Van Goubergen, D., Molnar, A., & Gellynck, X. (2013). Operational performance and critical success factors of lean manufacturing in European food processing SMEs. Trends in Food Science & Technology, 31(2), 156-164. Doi: 10.1016/j.tifs.2013.03.002. DOI: https://doi.org/10.1016/j.tifs.2013.03.002 CrossrefGoogle Scholar

Fullerton, R. R., Kennedy, F. A., & Widener, S. K. (2014). Lean manufacturing and firm performance: The incremental contribution of lean management accounting practices. Journal of Operations Management, 32(7-8), 414-428. DOI: https://doi.org/10.1016/j.jom.2014.09.002 CrossrefGoogle Scholar

Godinho Filho, M., Ganga, G. M. D., & Gunasekaran, A. (2016). Lean manufacturing in Brazilian small and medium enterprises: implementation and effect on performance. International Journal of Production Research, 54(24), 7523-7545. Doi: 10.1080/00207543.2016.1201606. DOI: https://doi.org/10.1080/00207543.2016.1201606 CrossrefGoogle Scholar

Laureani, A., & Antony, J. (2017). Leadership characteristics for lean six sigma. Total Quality Management & Business Excellence, 28(3-4), 405-426. Doi: 10.1080/14783363.2015.1090291. DOI: https://doi.org/10.1080/14783363.2015.1090291 CrossrefGoogle Scholar

Negrão, L. L. L., Godinho Filho, M., & Marodin, G. (2017). Lean practices and their effect on performance: a literature review. Production Planning & Control, 28(1), 33-56. Doi: 10.1080/09537287.2016.1231853. DOI: https://doi.org/10.1080/09537287.2016.1231853 CrossrefGoogle Scholar

Pavnaskar, S. J., Gershenson, J. K., & Jambekar, A. B. (2003). Classification scheme for lean manufacturing tools. International Journal of Production Research, 41(13), 3075-3090. Doi: 10.1080/0020754021000049817. DOI: https://doi.org/10.1080/0020754021000049817 CrossrefGoogle Scholar

Qureshi, M. I., Rasli, A. M., Jusoh, A., Kowang, T. O., & Bahru, U. J. (2015). Sustainability: A new manufacturing paradigm. Journal Teknologi, 77(22), 47-53. DOI: https://doi.org/10.11113/jt.v77.6661 CrossrefGoogle Scholar

Randhawa, J. S., & Ahuja, I. S. (2017). 5S–a quality improvement tool for sustainable performance: literature review and directions. International Journal of Quality & Reliability Management, 34(3), 334-361.Doi: 10.1108/IJQRM-03-2015-0045. DOI: https://doi.org/10.1108/IJQRM-03-2015-0045 CrossrefGoogle Scholar

Siasos, G. I., Skondras, G. I., Gkanas, E., Hrissagis, K., & Makridis, S. S. (2017). The Benefits of Lean through an Analysis and Improvement of an Existing Production Line. Mater. Sci. Eng. Adv. Res, 2(1), 15-24. DOI: https://doi.org/10.24218/msear.2017.23

Tagge, E. P., Thirumoorthi, A. S., Lenart, J., Garberoglio, C., & Mitchell, K. W. (2017). Improving operating room efficiency in academic children's hospital using Lean Six Sigma methodology. Journal of pediatric surgery, 52(6), 1040-1044. Doi: 10.1016/j.jpedsurg.2017.03.035. DOI: https://doi.org/10.1016/j.jpedsurg.2017.03.035 CrossrefGoogle Scholar

Taj, S., & Morosan, C. (2011). The impact of lean operations on the Chinese manufacturing performance. Journal of manufacturing technology management, 22(2), 223-240.Doi: 10.1108/17410381111102234. DOI: https://doi.org/10.1108/17410381111102234 CrossrefGoogle Scholar

Taj, S. (2008). Lean manufacturing performance in China: assessment of 65 manufacturing plants. Journal of Manufacturing Technology Management, 19(2), 217-234. DOI: https://doi.org/10.1108/17410380810847927 CrossrefGoogle Scholar

Thanki, S., Govindan, K., & Thakkar, J. (2016). An investigation on lean-green implementation practices in Indian SMEs using analytical hierarchy process (AHP) approach. Journal of Cleaner Production, 135, 284-298. Doi: 10.1016/j.jclepro.2016.06.105 DOI: https://doi.org/10.1016/j.jclepro.2016.06.105 CrossrefGoogle Scholar

Most read articles by the same author(s)