Implementation of Learning Effect Scheduling on SME’s Injection Moulding Machine

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    This study conducted on SME company in Bandung which have problem on machine scheduling. Current method that company use to schedule job and machine using simple FCFS method which resulting increase inventory and tardiness cost. We proposed machine scheduling with learning effect that developed in the previous research. Using repeat order data, we obtain 20 job that company regularly produce, we calculate scheduling with proposed method and result are 1.71% and 1.81% improvement that FCFS method that company use. Implementation step we proposed to company owner and future work to include quality and time deterioration.

     

     


  • Keywords


    machine scheduling; learning effect.

  • References


      [1] Agus, A. A., Isa, M., Farid, M. F., & Permono, S. P. (2015). An assessment of SME competitiveness in Indonesia. Journal of Competitiveness, 7(2), 60–74.

      [2] Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10‐11), 1105-1121.

      [3] Pinedo, M. L. (2016). Scheduling: Theory, algorithms, and systems. Springer.

      [4] Biskup, D. (1999). Single-machine scheduling with learning considerations. European Journal of Operational Research, 115(1), 173-178.

      [5] Mosheiov, G. (2001). Scheduling problems with a learning effect. European Journal of Operational Research, 132(3), 687-693.

      [6] Mosheiov, G., & Sidney, J. B. (2003). Scheduling with general job-dependent learning curves. European Journal of Operational Research, 147(3), 665-670.

      [7] Wu, C. C., & Lee, W. C. (2008). Single-machine scheduling problems with a learning effect. Applied Mathematical Modelling, 32(7), 1191-1197.

      [8] Yin, Y., Liu, M., Hao, J., & Zhou, M. (2012). Single-machine scheduling with job-position-dependent learning and time-dependent deterioration. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 42(1), 192-200.

      [9] Lee, W. C., Wu, C. C., & Hsu, P. H. (2010). A single-machine learning effect scheduling problem with release times. Omega, 38(1-2), 3-11.

      [10] Nawaz, M., Enscore Jr, E. E., & Ham, I. (1983). A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem. Omega, 11(1), 91-95.


 

View

Download

Article ID: 23567
 
DOI: 10.14419/ijet.v7i4.33.23567




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.