Bir hücresel üretim ortamında, üretim planlama ve kontrol sistemlerinin benzetim analizi

Bu çalışmada, gerçek bir GT üretim sisteminde, mevcut makine yerleşim düzeninde yapılan iyileştirme çabaları sonrası, hücre yönetimi için bir metodoloji önerilmiş ve beş farklı senaryo yapılandırılmıştır. Ele alınan senaryolarda, itme bazlı geleneksel üretim yönetim yaklaşımı yanı sıra, Kanban ve CONWIP bazlı çekme sistemlerine yönelik benzetim modelleri kurulmuş ve planlama aşamasında "Yük Bazlı Sipariş Yönetimi" nin etkisi araştırılmıştır. Elde edilen sonuçlar, tanımlanan performans ölçütleri doğrultusunda karşılaştırılarak yorumlanmış ve önerilen metodolojinin başarısı tartışılmıştır. Senaryoları değerlendirmede, imalat temin süresi, çevrim süresi, makine kullanım oranı, proses içi stok seviyesi ve siparişlerin zamanında teslim yüzdeleri gibi ölçütler göz önünde bulundurulmuştur.

Simulation analysis of production planning and control systems in a cellular manufacturing environment

In this study, five distinct scenarios are designed for cell planning and control in a real GT manufacturing system. In these scenarios, the effects of load-oriented order release approach are searched and simulation models including push type production system, Kanban and CONWIP based pull systems, and hybrid control policies are built. Load oriented order release is applied for the all scenarios except the first scenario, which uses traditional push system for production control. Second Scenario, which has a load oriented order release mechanism, uses push system like Scenario 1. They are both allowed to order batching to avoid long set-up times of machines. The Third Scenario is under push type control without order batching. In Scenario 4, CONWIP control policy is used. One-card Kanban model is structured in the last scenario, Scenario 5. Manufacturing lead time, cycle time, machine utilization, work-in-process and on-time deliveries are defined as performance criteria in order to evaluate scenarios. Considering simulation results, it is emphasized that whether "push" or "pull" production system is applied, using load oriented order release during the planning phase increases the system performance. In addition, pull systems have the higher throughput, shorter lead times and cycle times compared to push type systems.

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  • Andijani, A. (1997). Trade-off Between Maximizing Throughput Rate and Minimizing System Time in Kanban Systems, International Journal of Operations & Production Management, 7, 5, 429-445.
  • Bauer, A., Bowden R., Brown J., Duggan J., Lyons G. (1994). Shop Floor Control Systems: From Design to Implementation, Ipswich Book Company, Suffolk.
  • Bechte, W. (1980). Theory and Practice of Load- Oriented Manufacturing Control, International Journal of Production Research, 26, 3, 375-395.
  • Bonvik A. M. (1997). Hybrid Control Policies for Manufacturing, International Journal of Production Research, 35, 3, 789-804.
  • Durmuşoğlu, M. B., Kulak, O., Erdoğan, M. N. (2000). Teknik Plastik Parça Üreten Bir Sistemde Değer Akışı Haritalandırma ve Kanban Sistemi Uygulaması, 21.Ulusal Yöneylem Araştırması ve Endüstri Müh. Kongresi, Doğu Akdeniz Üniv., Gazimagusa.
  • Durmuşoğlu, M. B., Nomak, A. (2000). Bir Cam Kalıbı Üretim Sisteminde GT Hücrelerinin Tasarımı ve Uygulanması, Endüstri Mühendisliği Dergisi, 11, 2, 13-23.
  • Edwards, D. K., Edgell, R. C., Richa, C. E. (1993). Standart Operations – The Key to Continuous Improvement in a Just-In-Time Manufacturing System, Production and Inventory Management Journal, 34, 3, 7-13.
  • Frein, Y., Di-Mascolo, M., Dallery, Y. (1995). On The Design of Generalized Kanban Control Systems, International Journal of Operations & Production Management, 15, 9, 158-184.
  • Framinan, J. M., Ruiz-Usano, R., Leisten, R. (2000). Input Control and Dispatching Rules in a Dynamic CONWIP Flow-Shop, International Journal of Production Research, 38, 18, 4589-4598.
  • Funk, J. L. (1995). Just-In-Time Manufacturing and Lgistical Complexity: A Contingency Model, International Journal of Operations & Production Management, 15, 5, 60-71.
  • Houghton, E. ve Portougal, V. (1995). A Planning Model for Just-In-Time Batch Manufacturing, International Journal of Operations & Production Management, 15, 9, 9-25.
  • Gupta, S. M., Al-Turki, Y. A. Y., Perry, R. F. (1999). Flexible Kanban System, International Journal of Operations & Production Management, 19, 10, 1065-1093.
  • Kettner, H., Bechte, W. (1981). Neue Wege der Fertigungssteuerung durch belastungsorientierte Auftragsfreigabe, VDI-Z, 123, 459-466.
  • Lauzon, S. C., Mills, J. K., Benhabib, B. (1997). An Implementation Methodology for the Supervisory Control of Flexible Manufacturing Cells, Journal of Manufacturing Systems, 16, 2, 91-101.
  • Lee, D. H., Kim, Y. D. (1996). Part-Mix Allocation in a Hybrid Manufacturing System with a Flexible Manufacturing Cell and a Conventional Jobshop, International Journal of Production Research, 34, 5, 1347-1360.
  • Lung, A. W. A., Love, D. M. (1991). An Algorithm for Distributed Planning and Control in A Computer-Based Manufacturing Control System, Production Research, 806-813.
  • Marek, R. P., Elkins, D. A., Smith, D. R. (2001). Understanding the Fundementals of Kanban and Conwip Pull Systems Using Simulation, Proceedings of the 2001 Winter Simulation Conference, 921-929.
  • Miltenburg, J. (1997). Comparing JIT, MRP and TOC, and embedding TOC into MRP, International Journal of Production Research, 35, 4, 1147-1169.
  • Ohno, T. (1988). The Toyota Production System: Beyond Large-Scale Production. Portland, Oregn: Productivity Press.oyota Ruhu, Scala Yayıncılık, İstanbul.
  • Ohno, T. (1998). Toyota Ruhu, Scala Yayıncılık, İstanbul.
  • Olhager, J. (1995). Techinal Note: Safety Mechanisms in Just-In-Time Systems, International Journal of Operations & Production Management, 15, 9, 289-292.
  • Olorunniwo, F. (1996). Changes in Production Planning and Control Systems with Implementation of Cellular Manufacturing, Production and Inventory Management Journal, 37, 1, 65-69.
  • Rahman, S. (1998). Theory of Constraints: A Review of the Philosophy and Its Applications, International Journal of Operations & Production Management, 18, 4, 336-355.
  • Ravindranath, L. S., Ebeling, K. A. (1992). Distributed Control of Manufacturing Cells, Computers and Industrial Engineering, 23, 1-4, sf.471-474.
  • Rodrigues, L. H., Mackness, J. R. (1998). Teaching the Meaning of Manufacturing Synchronisation Using Simple Simulation Models, International Journal of Operations & Production Management, 18, 3, 246-259.
  • Sargent, T. A., Kay, M. G. (1995). Implementation and Utilization of a Decentralized Storage System-Costing Model, , International Journal of Operations & Production Management, 15, 9, 210-219.
  • Steele, D. C., Berry, W. L., Chapman, S. N. (1995), Planning and Control in Multi-Cell Manufacturing, Decision Sciences, 26, 1, 1-35.
  • Steele, D. C., Malhotra, M. K. (1997). Factors Affecting Performance of Period Batch Control Systems in Cellular Manufacturing, International Journal of Production Research, 35, 2, 421-446.
  • Takahashi, K., Nakamura, N., Izumi, M. (1997). Concurrent Ordering in JIT Production Systems, International Journal of Operations & Production Management, 17, 3, 367-290.
  • Wiendahl, H. P. (1995). Load Oriented Manufacturing Control, Springer Verlag, Berlin.
  • Wiendahl, H. P. (1987). Belastungsorientierte Fertigungssteuerung, Carl Hanser Verlag, Munich.
  • Womack, J. P., Jones D. T. (1996). Yalın Düşünce, Sistem Yayıncılık-Kurtiş Matbaacılık, İstanbul.