Journals / Politeknik Dergisi / 2001 / Cilt: 4 - Sayı: 2

A review of assembly sequence planning approaches-II: BDT data using, AI, feature-based, special data structures, lingual representation, and sequential lists methods

Montaj sırası planlama yaklaşımları- II: BDT verisi kullanan, yapay zeka, unsur tabanlı, özel veri yapıları kullanan, dil temsil ve sıralı liste metotları

Pages
1–13
DOI
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AI Summary & Key Takeaways

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

A brief examination and evaluation of these approaches are also given in the paper.

📌 3 Key Takeaways

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Objective & Hypothesis:Assembly sequence planning is the choice of the most suitable and optimum one.
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Key Findings & Data:It can be conducted by: (a) manually or (b) computer aided.
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Conclusion & Impact:A brief examination and evaluation of these approaches are also given in the paper.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Assembly sequence planning is the choice of the most suitable and optimum one. It can be conducted by: (a) manually or (b) computer aided. Computer aided assembly sequence planning can be performed by the use of CAD model either semi-automatic (requiring user interference) or full automatic (without user interference). This paper describes the second part of a literature review conducted on the assembly sequence planning. Within the context of this part, the approaches of CAD data using, Artificial Intelligence (AI), feature - based, special data structures, lingual representation and sequential lists are examined. AI - based approaches include: rule based, heuristic search and case - based reasoning. A brief examination and evaluation of these approaches are also given in the paper.

Özet

Montaj sıralarından en uygun ve optimumunun seçimine montaj sırası planlama denmektedir. Montaj sırası planlama: (a) elle veya (b) bilgisayar destekli yapılabilir. Elle yapılacak montaj sırası planlama; zor, zaman alıcı ve oldukça uzmanlık gerektirmektedir. Bilgisayar destekli montaj sırası planlama ise; BDT modelini kullanarak yarı otomatik (kullanıcı katkısı gerekli) veya tam otomatik (kullanıcı katkısı gerekmeyen) olabilmektedir. Bu makalede montaj sıra planlaması konusunda yapılan bir kaynak araştırma çalışmasının ikinci kısmı tanıtılmaktadır. Bu kısım kapsamında; BDT veri tabanını, çeşitli yapay zeka tekniklerini, unsur tabanlı ve özel veri yapılarını kullanan, dil temsil yaklaşımları ve sıralı temsil teknikleri ele alınmıştır. Bunlardan yapay zeka yaklaşımları ise; kural tabanlı, heuristik araştırma ve benzerlik tabanlı muhakeme olmak üzere üç alt başlık altında incelenmiştir. Bu yaklaşımların öz bir inceleme, değerlendirme ve karşılaştırmaları da makale kapsamında verilmektedir.

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Cite This Article

SİNANOĞLU, C., BÖRKLÜ, H. R. (2001). A review of assembly sequence planning approaches-II: BDT data using, AI, feature-based, special data structures, lingual representation, and sequential lists methods. Politeknik Dergisi, Cilt: 4 - Sayı: 2, 1–13. https://ajindex.com/articles/306960

References (17)

  1. Wilson, R.H., Efficiently Partitioning an Assembly, In Proceedings of the IASTED International Symposium on Robotics and Manufacturing, 239-321, 1990
  2. Wilson, R.H., On Geometric Assembly Planning, PhD Thesis, Stanford University, Stanford CA, 1992
  3. Pandey, P.C. and Sarvananthan, V.C., Automated Assembly Sequence Planning System for Mechanical Parts, M. Eng. Thesis, Industrial System Engineering Program, Asian Inst. Of Tech, Bangkok, 1997
  4. Santochi, M. and Dini, G., Computer-Aided Planning of Assembly Operations: The selection of Assembly Sequences, Robotics& Computer Integarated Manufacturing, 9, 439- 446, 1992
  5. Kanai, S. and Makino, H., ASPEN: Computer-Aided Assembly Sequence planning and Evaluation system Based on Predetermined Time Standart, Annals of CIRP, 54/1, 35-39,. Jan. 1996
  6. Latombe, J.C., Wilson, R.H. and Cazals, F., Assembly Sequencing with Toleranced Parts, Computer Aided Design, 29, 2, 159-174, 1997
  7. Donald, R., A Search Algorithm for Motion Planning with Six Degrees of Freedom, AI, 31, 295-353, 1987
  8. Laugier, C. and Theveneau, P., Planning Sensor-Based Motions for Part Mating using Geometric Reasoning Techniques, Proc. 7 th.European Conference on AI, Brighton England, 494-506, July 1986
  9. Faverjon, B., Object Level Programming of Industrial Robots, Proc. IEEE International Conference on Robotics and Automation, San Francisco, 1406-1412, 1986
  10. Hoffman, R.L., Assembly Planning for B-rep Objects, 2 nd. International conference on computer Integrated Manufacturing, Troy, Newyork, 314-321, May 1990
  11. Rich, E. and Knight, K., Artifical Intelligent, International Edition, Mc. Graw-Hill Inc, 1991
  12. Garrod, W. and Everett, L.J., A.S.A.P. Automated Sequential Assembly Planner, computer in Engineering, 1, 139-144, 1990
  13. Chakrabarty, S. and Wolter, J., A Structure- Oriented Approach to Assembly sequence planning, IEEE Transactions on Robotics and Automation, 13,1, February 1997
  14. Mazous, K., Souilah, A. and Talbi, M., Design of An Expert System for Generating Optimal Assembly Sequences, Center de Development des Technologies Avancees, Alger, 255-259, 1991
  15. Lee, S. and Shin, Y.G., Assembly Planning Based on Subassembly Extraction, proceeding of the 1990 IEEE Conference on Robotics and Automation, Cincinnati, 1606-1611, O.H. May 1990
  16. Hayes-Roth, A blackboard Architecture for Control, AI, 26, 251-332, 1985
  17. Pu,P. and Reschberger, M., Assembly Sequence Planning, Using Case-Based Reasoning Technuqies,