Lead time management for production planning in job shops

Öz

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.

Anahtar Kelimeler

• Job Shops
• Queuing Network Modelling
• Manufacturing Lead Time

Atölye tipi sistemlerin üretim planlamasında temin süresi yönetimi

Öz

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.

Anahtar Kelimeler

• Atölye Tipi Üretim Sistemleri
• Kuyruk Ağı Modeli
• Üretim Temin Süresi

Kaynakça

1. 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.
2. 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.
3. 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
4. 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.
5. Balsamo, S., de Nitto Persone, V., & Onvural., R. (2001). Analysis of queuing networks with blocking. Kluwer Academic Publishers.
6. 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.
7. 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.
8. Hill, T. (1993). Manufacturing strategy: The strategic management of the manufacturing function. Macmillan Press Ltd.

9. 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.
10. 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.
11. 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.
12. Perera, G., & Ratnayake, V. (2015). Qualitative analysis on layout flexibility of machine layout configurations. IOSR Journal of Business and Management, 17(2), 62-69.
13. 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.
14. Perros, H.G. (1994). Queueing networks with blocking - exact and approximate solutions. Oxford University Press, Inc.
15. Stalk, G.Jr., & Hout, T.M. (1990). Competing against time. Free Press.
16. Stommel, H. (1976). Betriebliche terminplanung. De Gruyter.
17. 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.
18. 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.
19. 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.