SavedAdd your journal

Journals / Çukurova Üniversitesi Mühendislik-Mimarlik Fakültesi Dergisi / 2016 / Cilt: 31 - Sayı: 1

Holonic System Design for Dynamic Due Date Assignment Problem

Dinamik Teslim Zamanı Atama Problemi için Holonik Sistem Tasarımı

CENK ŞAHİN
Pages
149–157
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The proposed system is working under a dynamic environment and assigned due dates are obtained as a result of negotiations between the agents.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Rapid advances in technology, changes in customer demand and relatively short product life cycles force production systems to give a more accurate due dates.
📊
Key Findings & Data:For this purpose, many studies were carried out in academia and industry to improve the performance and the quality of production systems to respond to changing customer requirements.
💡
Conclusion & Impact:The proposed system is working under a dynamic environment and assigned due dates are obtained as a result of negotiations between the agents.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Rapid advances in technology, changes in customer demand and relatively short product life cycles force production systems to give a more accurate due dates. For this purpose, many studies were carried out in academia and industry to improve the performance and the quality of production systems to respond to changing customer requirements. In this study, an agent-based holonic control structure design that assigns the due dates for incoming orders in a flexible production system is proposed. The proposed system is working under a dynamic environment and assigned due dates are obtained as a result of negotiations between the agents.

Özet

Teknolojide yaşanan hızlı ilerlemeler, müşteri isteklerindeki değişiklikler ve nispeten daha kısa ürün yaşam döngüsü üretim sistemlerini daha doğru teslim zamanları vermeye zorlamaktadır. Bu amaçla, üretim sistemlerinin performansını ve değişen müşteri isteklerine yanıt verme kalitesini geliştirmek için akademide ve endüstride birçok çalışma gerçekleştirilmiştir. Bu çalışmada, esnek bir üretim sistemi içerisinde gelen siparişlere teslim zamanı atayan etmen tabanlı holonik bir kontrol yapısı tasarımı önerilmiştir. Önerilen sistem dinamik bir ortamda çalışmaktadır ve atanan teslim zamanları etmenler arasındaki müzakereler sonucunda elde edilmektedir

🔖

Cite This Article

ŞAHİN, C. (2016). Holonic System Design for Dynamic Due Date Assignment Problem. Çukurova Üniversitesi Mühendislik-Mimarlik Fakültesi Dergisi, Cilt: 31 - Sayı: 1, 149–157. https://ajindex.com/articles/350293

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. Wang, J., Deng, Y., 1999. Incremental Modeling Manufacturing Systems. Journal of Intelligent Manufacturing,. 10(6): p. 485-502.
  2. Flexible Veeravalli, B., Rajesh, G., Viswanadham, N., 2002. Design and Analysis of Optimal Material Distribution Policies in Flexible Manufacturing Systems Using a Single AGV. International Journal of Production Research, 40(12): p. 2937-2954.
  3. Jerald, J., 2006. Simultaneous Scheduling of Parts and Automated Guided Vehicles in an FMS Environment Using Adaptive Genetic Algorithm. The International Journal of Advanced Manufacturing Technology, 29(5-6): p. 584-589.
  4. Philipoom, P.R., L. Wiegmann, Rees, L.P., 1997. Cost-based Due-Date Assignment with The Use of Classical and Neural-Network Approaches. Naval Research Logistics (NRL), 44(1): p. 21-46.
  5. Alpay, Ş. N., 2009.
  6. Yüzügüllü, Dynamic Job Shop Scheduling for Missed Due Date Performance. Production Research, 47(15): p. 4047-4062.
  7. Baykasoğlu, A., Göçken, M., Unutmaz, Z.D., 2008. New Assignment in Job Shops. European Journal of Operational Research, 187(1): p. 31-45.
  8. Date Leitao, P., Restivo, F.J., 2008. Implementation of a Holonic Control System in a Flexible Manufacturing System. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 38(5): p. 699-709.
  9. Madureira, A., Santos, F., Pereira, I., 2008. Self-Managing Scheduling in Manufacturing in Proceedings of the 10th Annual Conference Companion on Genetic and Evolutionary Computation. ACM. Liu, J., Liu, J. J., Chen, Q. X., Mao, N., Lin, Z. A. 2011. A Multi-Agent-Based Mould Due Date Production. International Journal of Production Research, 49(5): p. 1353-1371. in Stochastic Weeks, J.K., Fryer, J.S., 1977. A Methodology for Assigning Minimum Cost Due-Dates. Management Science, 23(8): p. 872-881.
  10. Weeks, J.K., 1979. A Simulation Study of Predictable Due-dates. Management Science, 25(4): p. 363-373.
  11. Baker, K.R., Bertrand, Investigation of Due-Date Assignment Rules with Operations Management,. 1(3): p. 109-120.
  12. Smith, M.L., Seidmann, A., 1983. Due Date Selection Procedures for Job-Shop Simulation. Computers & Industrial Engineering, 7(3): p. 199-207.
  13. Baker, K.R., 1984. Sequencing Rules and Due- Date Assignments in a Job Shop. Management Science, 30(9): p. 1093-1104. Ragatz,G.L, Mabert, V.A., 1984. A Framework for the Study of Due Date Management in Job Shops. The International Journal of Production Research, 22(4): p. 685-695.
  14. Shanthikumar, J.G., Sumita, U., 1988. Approximations for the Time Spent in a Dynamic