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AN IMPLEMENTATION STRATEGY FOR LEAN MANUFACTURING IN HIGH MIX AND LOW VOLUME (HMLV) ENVIRONMENT

Aljubiri, Abdullah
http://orcid.org/0000-0001-5258-1925
http://rave.ohiolink.edu/etdc/view?acc_num=akron1564787755980795

Abstract Details

2019, Doctor of Philosophy, University of Akron, Mechanical Engineering.
The complexity of high-mix, low-volume (HMLV) manufacturing environments generate challenges to a successful implementation of Lean manufacturing (LM). This study examines the implementation of LM in a complex HMLV Aerospace Tube Manufacturing system. The collected data will be used to eliminate non-value-added activities by reducing uncertainty in demand systems to increase flexibility in demand. This study will emphasize using data mining to examine the dataset for homogeneity between objects. Afterward, a simulation representing the current state will be produced to obtain a better understanding of the system; then, after conducting a cluster analysis to form product families consisting of similar objects, the demand will be forecasted using time series analysis to reduce the variability and uncertainty in demand. Furthermore, simulation-based scheduling will be used to generate current and future schedules to allow monitoring the production progress and identify the non-value-added activities. Another simulation was conducted using both the deterministic and stochastic approaches to optimize customization by balancing “Make-to-Order” with “Make-to-Stock” volumes. Thus, the proposed methodology will maximize the use of resources and eliminate waste while considering variations and uncertainty in demand. The results of this study indicate its effectiveness, especially in improving order fulfillment rate and reducing lead time. Moreover, in a production system, the manufacturing of various products and the degree of uncertainty in customer demands are the most significant contributors to complicating the implementation of Lean tools in the complex HMLV environment. Further research could apply fuzzy logic in HMLV environments to measure the degree of Lean activity.
Shengyong Wang, PhD (Advisor)
Ye Jun, PhD (Committee Member)
Yilmaz Sozer, PhD (Committee Member)
Zhe Jerry Luo, PhD (Committee Member)
Chen Ling, PhD (Committee Member)
207 p.
Engineering

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Citations

  • Aljubiri, A. (2019). AN IMPLEMENTATION STRATEGY FOR LEAN MANUFACTURING IN HIGH MIX AND LOW VOLUME (HMLV) ENVIRONMENT [Doctoral dissertation, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1564787755980795

    APA Style (7th edition)

  • Aljubiri, Abdullah. AN IMPLEMENTATION STRATEGY FOR LEAN MANUFACTURING IN HIGH MIX AND LOW VOLUME (HMLV) ENVIRONMENT. 2019. University of Akron, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1564787755980795.

    MLA Style (8th edition)

  • Aljubiri, Abdullah. "AN IMPLEMENTATION STRATEGY FOR LEAN MANUFACTURING IN HIGH MIX AND LOW VOLUME (HMLV) ENVIRONMENT." Doctoral dissertation, University of Akron, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1564787755980795

    Chicago Manual of Style (17th edition)

akron1564787755980795
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© 2019, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.