Research Article
BibTex RIS Cite

Lead time management for production planning in job shops

Year 2020, Issue: 48, 179 - 195, 30.06.2020

Abstract

Short and reliable lead times are
important to promote customer satisfaction and generate further orders,
particularly in the case of make-to-order and engineer-to-order manufacturing.
Moreover, accurate manufacturing lead times can greatly help production
planning and allocation of capacities. The design of a manufacturing system
refers to the configuration of elements such as the number of workstations,
storage, capacity and movement of work through the system. The design of a
manufacturing system can play a key role in manufacturing lead time. The
purpose of this paper is to investigate the effects of the number of
workstations, buffer sizes, processing capacities, number of entry workstations
and layout of a system on manufacturing lead time, and to demonstrate how such
an analysis can aid managerial decision making in production planning. Five
sets of experiments, with a total of 19 cases, were conducted. An approximate
model for arbitrary queueing networks is used to provide insights into the
general behaviour of manufacturing systems. These experimental results suggest
that the manufacturing lead time of a system is the most sensitive to layout of
the system, i.e., configuration of the system (feed-forward or feed-backward
topology) and the number of exit workstations.

References

  • Ab-Kadir, A.R., Sajidah, W.M.K., Mohd Norzaimi, C.A., Shahril, K., & Sabri, M. (2015). Development of production layout model to improve production efficiency. Conference on Language, Education, Engineering and Technology, 2-3 September 2015, Kulim Hi-Tech Park, Kedah, Malaysia, 261-266.
  • Amaro, G.M., Hendry, L.C., & Kingsman, B.G. (1999). Competitive advantage, customisation and a new taxonomy for non make-to-stock companies. International Journal of Operations and Production Management, 19(4), 349-371.
  • Ashton J.E. (1993). Relationship between design for manufacturing, a responsive manufacturing approach, and continuous improvement. In E.J. Haug (Ed.), Concurrent Engineering: Tools and Technologies for Mechanical System Design (Vol. 108, pp. 389-404). https://doi.org/10.1007/978-3-642-78119-3_17
  • Azaron, A., Katagiri, H., Kato, K., & Sakawa, M. (2006). Modelling complex assemblies as a queueing network for lead time control. European Journal of Operational Research, 174(1), 150-168.
  • Balsamo, S., de Nitto Persone, V., & Onvural., R. (2001). Analysis of queuing networks with blocking. Kluwer Academic Publishers.
  • Dallery, Y., & Gershwin, S.B. (1992). Manufacturing flow line system: a review of models and analytical results. Queueing Systems, Special Issue on Queueing Models of Manufacturing Systems, 12, 3-94.
  • Haskose, A., Kingsman, B.G., & Worthington, D.J. (2004). Performance analysis of make-to-order manufacturing systems under different workload control regimes. International Journal of Production Economics, 90(2), 169-186.
  • Hill, T. (1993). Manufacturing strategy: The strategic management of the manufacturing function. Macmillan Press Ltd.
  • Kingsman, B.G., Tatsiopoulos, I.P., & Hendry, L.C. (1989). A structural methodology for managing manufacturing lead times in make-to-order companies. European Journal of Operational Research, 40, 196-209.
  • Mourtzis, D., Doukas, M., Fragou, K., Efthymiou, K., & Matzorou V. (2014). Knowledge-based estimation of manufacturing lead time for complex engineered-to-order products. Procedia CIRP, 17, 499-504.
  • Papadopoulos, H.T., & Heavey, C. (1996). Queuing theory in manufacturing systems analysis and design: a classification of models for production and transfer lines. European Journal of Operational Research, 92(1), 1-27.
  • Perera, G., & Ratnayake, V. (2015). Qualitative analysis on layout flexibility of machine layout configurations. IOSR Journal of Business and Management, 17(2), 62-69.
  • Perkgoz, C., Azaron, A., Katagiri, H., Kato, K., & Sakawa, M. (2007). A multi-objective lead time control problem in multi-stage assembly systems using genetic algorithms. European Journal of Operational Research, 180(1), 292-308.
  • Perros, H.G. (1994). Queueing networks with blocking - exact and approximate solutions. Oxford University Press, Inc.
  • Stalk, G.Jr., & Hout, T.M. (1990). Competing against time. Free Press.
  • Stommel, H. (1976). Betriebliche terminplanung. De Gruyter.
  • Subba Rao, S., Gunasekaran, A., Goyal, S.K., & Martikainen, T. (1998). Waiting line model application in manufacturing. International Journal of Production Economics, 54(1), 1-28.
  • Wangari, P.N., Muchiri, P.N., & Onyancha, D.O. (2018). Impact assessment of a facility layout on manufacturing cycle time and throughput: A case study of a tannery in central Kenya. IOSR Journal of Mechanical and Civil Engineering, 15(5), 40-45.
  • Zhang, H.Y., Chen, Q.X., Smith, J.M., Mao, N., Yu, A.L., & Li, Z.T. (2017). Performance analysis of open general queuing networks with blocking and feedback. International Journal of Production Research, 55(19), 5760-5781.

Atölye tipi sistemlerin üretim planlamasında temin süresi yönetimi

Year 2020, Issue: 48, 179 - 195, 30.06.2020

Abstract

Kısa
ve güvenilir temin süreleri, özellikle siparişe-özel-üretim ve
siparişe-özel-tasarım şeklinde üretim yapan firmalarda müşteri memnuniyetini
artırmak ve siparişlerde süreklilik sağlamak için kritik önem taşımaktadır. Ayrıca
kesin ve güvenilir üretim temin süreleri, üretim planlamasına ve kapasite
tahsisine önemli ölçüde katkı sağlamaktadır. Bir üretim sisteminin tasarımı iş
istasyonu sayısı, bekleme alanlarının büyüklüğü, üretim kapasitesi ve işlerin
sistem içindeki rotaları gibi unsurların yapılandırılmasını kapsamaktadır. Üretim
sistemi tasarımı, temin süresinin belirlenmesinde önemli rol oynamaktadır. Bu
çalışmanın amacı, iş istasyonu sayısının, iş istasyonları arasındaki tampon
alanlarının büyüklüğünün, üretim kapasitesinin, giriş iş istasyonu sayısının ve
sistemin yerleşim planının üretim temin süresi üzerindeki etkilerini araştırmak
ve böyle bir analizin üretim planlamasında yönetimsel karar almaya nasıl yardım
edebileceğini göstermektir. Çalışmada, 19 vakanın bulunduğu beş ayrı grupta
denemeler gerçekleştirilmiştir.  Üretim
sistemlerinin performanslarının belirlenmesinde yapılandırılmamış kuyruk ağları
için geliştirilen yaklaşık bir model kullanılmıştır. Deneme sonuçları üretim
temin süresinin, sistemin yerleşim planından (sistemin yapılandırmasının ileri
veya geri beslemeli oluşu ve çıkış iş istasyonlarının sayısından) önemli ölçüde
etkilendiğini göstermektedir.

References

  • Ab-Kadir, A.R., Sajidah, W.M.K., Mohd Norzaimi, C.A., Shahril, K., & Sabri, M. (2015). Development of production layout model to improve production efficiency. Conference on Language, Education, Engineering and Technology, 2-3 September 2015, Kulim Hi-Tech Park, Kedah, Malaysia, 261-266.
  • Amaro, G.M., Hendry, L.C., & Kingsman, B.G. (1999). Competitive advantage, customisation and a new taxonomy for non make-to-stock companies. International Journal of Operations and Production Management, 19(4), 349-371.
  • Ashton J.E. (1993). Relationship between design for manufacturing, a responsive manufacturing approach, and continuous improvement. In E.J. Haug (Ed.), Concurrent Engineering: Tools and Technologies for Mechanical System Design (Vol. 108, pp. 389-404). https://doi.org/10.1007/978-3-642-78119-3_17
  • Azaron, A., Katagiri, H., Kato, K., & Sakawa, M. (2006). Modelling complex assemblies as a queueing network for lead time control. European Journal of Operational Research, 174(1), 150-168.
  • Balsamo, S., de Nitto Persone, V., & Onvural., R. (2001). Analysis of queuing networks with blocking. Kluwer Academic Publishers.
  • Dallery, Y., & Gershwin, S.B. (1992). Manufacturing flow line system: a review of models and analytical results. Queueing Systems, Special Issue on Queueing Models of Manufacturing Systems, 12, 3-94.
  • Haskose, A., Kingsman, B.G., & Worthington, D.J. (2004). Performance analysis of make-to-order manufacturing systems under different workload control regimes. International Journal of Production Economics, 90(2), 169-186.
  • Hill, T. (1993). Manufacturing strategy: The strategic management of the manufacturing function. Macmillan Press Ltd.
  • Kingsman, B.G., Tatsiopoulos, I.P., & Hendry, L.C. (1989). A structural methodology for managing manufacturing lead times in make-to-order companies. European Journal of Operational Research, 40, 196-209.
  • Mourtzis, D., Doukas, M., Fragou, K., Efthymiou, K., & Matzorou V. (2014). Knowledge-based estimation of manufacturing lead time for complex engineered-to-order products. Procedia CIRP, 17, 499-504.
  • Papadopoulos, H.T., & Heavey, C. (1996). Queuing theory in manufacturing systems analysis and design: a classification of models for production and transfer lines. European Journal of Operational Research, 92(1), 1-27.
  • Perera, G., & Ratnayake, V. (2015). Qualitative analysis on layout flexibility of machine layout configurations. IOSR Journal of Business and Management, 17(2), 62-69.
  • Perkgoz, C., Azaron, A., Katagiri, H., Kato, K., & Sakawa, M. (2007). A multi-objective lead time control problem in multi-stage assembly systems using genetic algorithms. European Journal of Operational Research, 180(1), 292-308.
  • Perros, H.G. (1994). Queueing networks with blocking - exact and approximate solutions. Oxford University Press, Inc.
  • Stalk, G.Jr., & Hout, T.M. (1990). Competing against time. Free Press.
  • Stommel, H. (1976). Betriebliche terminplanung. De Gruyter.
  • Subba Rao, S., Gunasekaran, A., Goyal, S.K., & Martikainen, T. (1998). Waiting line model application in manufacturing. International Journal of Production Economics, 54(1), 1-28.
  • Wangari, P.N., Muchiri, P.N., & Onyancha, D.O. (2018). Impact assessment of a facility layout on manufacturing cycle time and throughput: A case study of a tannery in central Kenya. IOSR Journal of Mechanical and Civil Engineering, 15(5), 40-45.
  • Zhang, H.Y., Chen, Q.X., Smith, J.M., Mao, N., Yu, A.L., & Li, Z.T. (2017). Performance analysis of open general queuing networks with blocking and feedback. International Journal of Production Research, 55(19), 5760-5781.
There are 19 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Makaleler / Articles
Authors

Ahmet Hasköse 0000-0003-0692-0978

Publication Date June 30, 2020
Submission Date February 17, 2020
Acceptance Date May 10, 2020
Published in Issue Year 2020 Issue: 48

Cite

APA Hasköse, A. (2020). Lead time management for production planning in job shops. Erciyes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi(48), 179-195.

ERCİYES AKADEMİ | 2021 | sbedergi@erciyes.edu.tr Bu eser Creative Commons Atıf-Gayri Ticari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.