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KARMA MODELLİ MONTAJ HATLARINDA ÜRETİM ÇİZELGELEME VE SIRALAMA PROBLEMLERİNDE ÜRETİM DÜZGÜNLEŞTİRME YAKLAŞIMLARI

Year 2015, Volume: 16 Issue: 1, 1 - 14, 24.08.2015
https://doi.org/10.18038/btd-a.51034

Abstract

Mixed model assembly line is able to produce more than one product type at the same time. Mixed model assembly line can adapt to the varied small size batch production, not keep the inventory to the work in process through verity of product and can quickly response to the abrupt change of demand. Due to the mentioned attributes of mixed model assembly line, waiting/ accumulations in the work stationary. For solving this problem, the production smoothing model are presented. The smoothing production aims to reduce the size of batch and flow as a unique products/ parts/ raw materials throughout the whole system. 

 In this study, the solution of models that response to demand for certain time at “just in time” according to the JIT approach and “no stock” according to the Lean philosophy in mixed model assemble line in automotive firm. The problem is handled for 50 product with two approach as scheduling and sequencing. In scheduling stage, three solving methods are presented and alternative solutions are obtained for balanced production desired from firm and considering constraints. This solutions are compared with several criteria. In sequencing stage, the work sequence of automobile models in assemble line is determined with modified Goal Chasing method.

References

  • Chakravarty, A. K. and Shtub A., (1985)“New Technology Production Systems”, Decision Science, vol. 16(3), 248-264. Multistage Dar-El,
  • E. M. And Cother R.F., (1975)
  • “Assembly Line Sequencing for Model
  • mix”, International Journal of Production
  • Research, 13, 463-477.
  • Dar-El, E. M. and Rabinovitch M., (1988) Planning and “Optimal Assembly Lines”, International Journal of Production Research, vol.26, 1433-1450.
  • Dar-El E. M., and Cucuy, (1977). “Optimal Mixed Model Sequencing for Balanced Assembly Lines”, Omega, vol.5, 333-342.
  • Emde, S. and Boysen N., (2012). “Optimally Routing and Scheduling Tow Trains for JIT- Supply of Mixed-Model Assembly Lines”, European Journal of Operational Research, vol. 217, 287–299.
  • Inman, P. R. and Bulfin R. L., (1991). “Note on Sequencing JIT Mixed-Model Assembly Lines”, Management Science, vol. 3 (7), 904–910.
  • James, P., Womack D.T., Jones, D.R. (1992) “The Machine that Changed The World”, Business Horizons, vol. 35(3), 81-82.
  • Karimi-Nasab M. and Aryanezhad M.B., (2001) “A Multi-Objective Production Smoothing Model Times”, Applied Mathematical Modelling, vol. 35, 3596–3610. Operating
  • Macaskill, J. L. C., (1972) “Production-Line Balanced Management Science, vol. 19(4), 423-434. Lines”.
  • Mansouri, S.A., (2005) “A Multi-Objective Genetic Sequencing European Journal of Operational Research, vol. 167(3), 696–716. for
  • Assembly Lines”, on JIT
  • McMullen, P. R. and Frazier G.V., (2000) “A Simulated Annealing Approach to Mixed- Model Sequencing with Multiple Objectives on a JIT Line”, IIE Transactions, vol. 3(8), 679–686.
  • McMullen, P. R., (1998) “JIT Sequencing for Mixed-Model Assembly Lines with Setups using Tabu Search”, Production Planning and Control, vol.9 (5), 504–510.
  • McMullen, P. R., (2001a) “An Ant Colony Optimization Approach to Addressing A JIT Sequencing Objectives”, Engineering, vol.15, 309–317. Intelligence in
  • McMullen, P. R., (2001b) “A Kohonen Self- Organizing Map Approach to Addressing A Multiple Objective, Sequencing Problem”, International Journal of Production Economics, vol. 72, 59–71.
  • Meral, S. and Erkip N., (1991) "Design and Analysis of A Just-In-Time Production Line", International Conference on Just-in-Time Manufacturing Systems, 61-79. of the
  • Meral, S. and Korkmazel T., (2001) “Bi-Criteria Sequencing Methods for The Mixed-Model Assembly Line in Just-in-Time Production Systems”, European Journal of Operational Research, vol 131, 188–207.
  • Miltenburg, J., (1989) “Level Schedules for Mixed-Model Assembly Lines in Just-in- Time Production Systems”, Management Science, vol. 35 (2), 192-207.
  • Miltenburg, J., Steiner G., Yeomans S., (1990) “A Dynamic Programming Algorithm for Scheduling Production Systems”, Computation Modeling, vol. 13, 57–66. Mathematical
  • Monden, Y. (1983) Toyota Production System, Institute of Industrial Engineers Press, Atlanta.
  • Nearchou, A.S. (2011) “Maximizing Production Rate and Workload Smoothing in Assembly Lines using Particle Swarm Optimization”, International Economics, vol.129, 242-250. of Production
  • Tavakkoli-Moghaddam, R. and Rahimi-Vahed A. R. (2006) “Multi-criteria Sequencing Problem for A Mixed-Model Assembly Line in A JIT Production System”, Applied Mathematics and Computation, vol.181, 1471–1481, 2006.
  • Tavakkoli-Moghaddam, R., Gholipour-Kanani Y. and Cheraghalizadeh R., (2012) “Genetic and Memetic Algorithms for Sequencing a New JIT mixed model Assembly Line”, Amirkabir, MISC, vol . 44(2).
  • Tavakkoli-Moghaddam, R., Moslehi G., Vasei M. and Azaron A., (2006) “A Branch-and- Bound Algorithm for a Single Machine Sequencing to Minimize The Sum of Maximum Earliness and Tardiness with İdle İnsert”, Computation, vol.17(1), 388–408. Mathematics and
  • Thomopoulos, N. T. (1970) “Mixed-model Line Balancing Assignments”, Management Science, vol. 16, 563-603. Smoothed Station
  • Yavuz, M. and Tufekci, S., (2004a) “Some Lower Bounds on The Mixed-Model Level- Scheduling Problems”, 10th International Conference on Industry, Engineering and Management Systems, 385–395.
  • Yavuz, M. and Tufekci, S., (2006) “Bounded Dynamic Programming Solution to The Batching Problem in Mixed-Model Just-in- Time International Economics, vol.103, 841–862, 2006. Production of

AN APPROACH OF PRODUCTION SMOOTHING FOR PRODUCTION SCHEDULING AND SEQUENCING IN MIXED-MODEL ASSEMBLY LINES

Year 2015, Volume: 16 Issue: 1, 1 - 14, 24.08.2015
https://doi.org/10.18038/btd-a.51034

Abstract

Karma model montaj hatları, aynı anda iki ya da daha fazla ürün tipinin aynı hat üzerindeüretilebildiği, çeşitlendirilmiş küçük parti üretimine yatkın ve modellerin çeşitliliğine rağmen fazla stokbulundurmadan, ani talep değişikliklerine hızlı cevap verebilen montaj hatlarıdır. Bahsedilen buözelliklerinden dolayı, iş istasyonlarında beklemeler/ yığılmalar söz konusu olmaktadır. Bu problemeçözüm olarak, üretim düzgünleştirme modelleri önerilmektedir. Üretim düzgünleştirme, partibüyüklüklerini azaltmayı ve tüm sistem boyunca ürünlerin/ parçaların/ malzemelerin düzeltilmiş tekparça akışını oluşturmasını amaçlar

References

  • Chakravarty, A. K. and Shtub A., (1985)“New Technology Production Systems”, Decision Science, vol. 16(3), 248-264. Multistage Dar-El,
  • E. M. And Cother R.F., (1975)
  • “Assembly Line Sequencing for Model
  • mix”, International Journal of Production
  • Research, 13, 463-477.
  • Dar-El, E. M. and Rabinovitch M., (1988) Planning and “Optimal Assembly Lines”, International Journal of Production Research, vol.26, 1433-1450.
  • Dar-El E. M., and Cucuy, (1977). “Optimal Mixed Model Sequencing for Balanced Assembly Lines”, Omega, vol.5, 333-342.
  • Emde, S. and Boysen N., (2012). “Optimally Routing and Scheduling Tow Trains for JIT- Supply of Mixed-Model Assembly Lines”, European Journal of Operational Research, vol. 217, 287–299.
  • Inman, P. R. and Bulfin R. L., (1991). “Note on Sequencing JIT Mixed-Model Assembly Lines”, Management Science, vol. 3 (7), 904–910.
  • James, P., Womack D.T., Jones, D.R. (1992) “The Machine that Changed The World”, Business Horizons, vol. 35(3), 81-82.
  • Karimi-Nasab M. and Aryanezhad M.B., (2001) “A Multi-Objective Production Smoothing Model Times”, Applied Mathematical Modelling, vol. 35, 3596–3610. Operating
  • Macaskill, J. L. C., (1972) “Production-Line Balanced Management Science, vol. 19(4), 423-434. Lines”.
  • Mansouri, S.A., (2005) “A Multi-Objective Genetic Sequencing European Journal of Operational Research, vol. 167(3), 696–716. for
  • Assembly Lines”, on JIT
  • McMullen, P. R. and Frazier G.V., (2000) “A Simulated Annealing Approach to Mixed- Model Sequencing with Multiple Objectives on a JIT Line”, IIE Transactions, vol. 3(8), 679–686.
  • McMullen, P. R., (1998) “JIT Sequencing for Mixed-Model Assembly Lines with Setups using Tabu Search”, Production Planning and Control, vol.9 (5), 504–510.
  • McMullen, P. R., (2001a) “An Ant Colony Optimization Approach to Addressing A JIT Sequencing Objectives”, Engineering, vol.15, 309–317. Intelligence in
  • McMullen, P. R., (2001b) “A Kohonen Self- Organizing Map Approach to Addressing A Multiple Objective, Sequencing Problem”, International Journal of Production Economics, vol. 72, 59–71.
  • Meral, S. and Erkip N., (1991) "Design and Analysis of A Just-In-Time Production Line", International Conference on Just-in-Time Manufacturing Systems, 61-79. of the
  • Meral, S. and Korkmazel T., (2001) “Bi-Criteria Sequencing Methods for The Mixed-Model Assembly Line in Just-in-Time Production Systems”, European Journal of Operational Research, vol 131, 188–207.
  • Miltenburg, J., (1989) “Level Schedules for Mixed-Model Assembly Lines in Just-in- Time Production Systems”, Management Science, vol. 35 (2), 192-207.
  • Miltenburg, J., Steiner G., Yeomans S., (1990) “A Dynamic Programming Algorithm for Scheduling Production Systems”, Computation Modeling, vol. 13, 57–66. Mathematical
  • Monden, Y. (1983) Toyota Production System, Institute of Industrial Engineers Press, Atlanta.
  • Nearchou, A.S. (2011) “Maximizing Production Rate and Workload Smoothing in Assembly Lines using Particle Swarm Optimization”, International Economics, vol.129, 242-250. of Production
  • Tavakkoli-Moghaddam, R. and Rahimi-Vahed A. R. (2006) “Multi-criteria Sequencing Problem for A Mixed-Model Assembly Line in A JIT Production System”, Applied Mathematics and Computation, vol.181, 1471–1481, 2006.
  • Tavakkoli-Moghaddam, R., Gholipour-Kanani Y. and Cheraghalizadeh R., (2012) “Genetic and Memetic Algorithms for Sequencing a New JIT mixed model Assembly Line”, Amirkabir, MISC, vol . 44(2).
  • Tavakkoli-Moghaddam, R., Moslehi G., Vasei M. and Azaron A., (2006) “A Branch-and- Bound Algorithm for a Single Machine Sequencing to Minimize The Sum of Maximum Earliness and Tardiness with İdle İnsert”, Computation, vol.17(1), 388–408. Mathematics and
  • Thomopoulos, N. T. (1970) “Mixed-model Line Balancing Assignments”, Management Science, vol. 16, 563-603. Smoothed Station
  • Yavuz, M. and Tufekci, S., (2004a) “Some Lower Bounds on The Mixed-Model Level- Scheduling Problems”, 10th International Conference on Industry, Engineering and Management Systems, 385–395.
  • Yavuz, M. and Tufekci, S., (2006) “Bounded Dynamic Programming Solution to The Batching Problem in Mixed-Model Just-in- Time International Economics, vol.103, 841–862, 2006. Production of
There are 30 citations in total.

Details

Primary Language turkce
Journal Section Articles
Authors

Havva Karabulut This is me

Nihal Erginel

Publication Date August 24, 2015
Published in Issue Year 2015 Volume: 16 Issue: 1

Cite

APA Karabulut, H., & Erginel, N. (2015). KARMA MODELLİ MONTAJ HATLARINDA ÜRETİM ÇİZELGELEME VE SIRALAMA PROBLEMLERİNDE ÜRETİM DÜZGÜNLEŞTİRME YAKLAŞIMLARI. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, 16(1), 1-14. https://doi.org/10.18038/btd-a.51034
AMA Karabulut H, Erginel N. KARMA MODELLİ MONTAJ HATLARINDA ÜRETİM ÇİZELGELEME VE SIRALAMA PROBLEMLERİNDE ÜRETİM DÜZGÜNLEŞTİRME YAKLAŞIMLARI. AUJST-A. August 2015;16(1):1-14. doi:10.18038/btd-a.51034
Chicago Karabulut, Havva, and Nihal Erginel. “KARMA MODELLİ MONTAJ HATLARINDA ÜRETİM ÇİZELGELEME VE SIRALAMA PROBLEMLERİNDE ÜRETİM DÜZGÜNLEŞTİRME YAKLAŞIMLARI”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 16, no. 1 (August 2015): 1-14. https://doi.org/10.18038/btd-a.51034.
EndNote Karabulut H, Erginel N (August 1, 2015) KARMA MODELLİ MONTAJ HATLARINDA ÜRETİM ÇİZELGELEME VE SIRALAMA PROBLEMLERİNDE ÜRETİM DÜZGÜNLEŞTİRME YAKLAŞIMLARI. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 16 1 1–14.
IEEE H. Karabulut and N. Erginel, “KARMA MODELLİ MONTAJ HATLARINDA ÜRETİM ÇİZELGELEME VE SIRALAMA PROBLEMLERİNDE ÜRETİM DÜZGÜNLEŞTİRME YAKLAŞIMLARI”, AUJST-A, vol. 16, no. 1, pp. 1–14, 2015, doi: 10.18038/btd-a.51034.
ISNAD Karabulut, Havva - Erginel, Nihal. “KARMA MODELLİ MONTAJ HATLARINDA ÜRETİM ÇİZELGELEME VE SIRALAMA PROBLEMLERİNDE ÜRETİM DÜZGÜNLEŞTİRME YAKLAŞIMLARI”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 16/1 (August 2015), 1-14. https://doi.org/10.18038/btd-a.51034.
JAMA Karabulut H, Erginel N. KARMA MODELLİ MONTAJ HATLARINDA ÜRETİM ÇİZELGELEME VE SIRALAMA PROBLEMLERİNDE ÜRETİM DÜZGÜNLEŞTİRME YAKLAŞIMLARI. AUJST-A. 2015;16:1–14.
MLA Karabulut, Havva and Nihal Erginel. “KARMA MODELLİ MONTAJ HATLARINDA ÜRETİM ÇİZELGELEME VE SIRALAMA PROBLEMLERİNDE ÜRETİM DÜZGÜNLEŞTİRME YAKLAŞIMLARI”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, vol. 16, no. 1, 2015, pp. 1-14, doi:10.18038/btd-a.51034.
Vancouver Karabulut H, Erginel N. KARMA MODELLİ MONTAJ HATLARINDA ÜRETİM ÇİZELGELEME VE SIRALAMA PROBLEMLERİNDE ÜRETİM DÜZGÜNLEŞTİRME YAKLAŞIMLARI. AUJST-A. 2015;16(1):1-14.