{"title":"Production Line Layout Planning Based on Complexity Measurement","authors":"Guoliang Fan, Aiping Li, Nan Xie, Liyun Xu, Xuemei Liu","volume":130,"journal":"International Journal of Industrial and Manufacturing Engineering","pagesStart":1626,"pagesEnd":1630,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10007935","abstract":"
Mass customization production increases the difficulty of the production line layout planning. The material distribution process for variety of parts is very complex, which greatly increases the cost of material handling and logistics. In response to this problem, this paper presents an approach of production line layout planning based on complexity measurement. Firstly, by analyzing the influencing factors of equipment layout, the complexity model of production line is established by using information entropy theory. Then, the cost of the part logistics is derived considering different variety of parts. Furthermore, the function of optimization including two objectives of the lowest cost, and the least configuration complexity is built. Finally, the validity of the function is verified in a case study. The results show that the proposed approach may find the layout scheme with the lowest logistics cost and the least complexity. Optimized production line layout planning can effectively improve production efficiency and equipment utilization with lowest cost and complexity.<\/p>\r\n","references":"[1]\tS. A. A. Naqvi, M. Fahad, M. Atir, M. Zubair, and M. M. Shehzad. \u201cProductivity improvement of a manufacturing facility using systematic layout planning.\u201d Cogent Engineering, vol.3, no.1, pp.1-13, Jul. 2016.\r\n[2]\tK. Efthymiou, A. Pagoropoulos, N. Papakostas, D. Mourtzis, and G. Chryssolouris. \u201cManufacturing systems complexity review: challenges and outlook.\u201d Procedia CIRP, vol. 3, no.1, pp.644-649, 2012.\r\n[3]\tC. C. Gao, Z. L. Wang, and W. C. Tang. \u201cComplex systems' facility layout optimization method based on dynamic demand.\u201d Computer Integrated Manufacturing Systems, vol.16, no.9, pp.1921-1927, 2010.\r\n[4]\tJ. Z. Huang, A. P. Li, X. M. Liu, and N. Xie. \u201cOptimal design of production line layout considering buffer allocation.\u201d Journal of Tongji University, vol.43, no.7, pp.1075-1081, 2015.\r\n[5]\tZ. Taha, F. Tahriri, and A. Zuhdi. \u201cJob sequencing and layout optimization in virtual production line.\u201d Journal of Quality, vol.18, no.4, pp.351-374, 2011.\r\n[6]\tI. Suemitsu, K. Izui, T. Yamada, S. Nishiwaki, A. Noda, and T. Nagatani. \u201cSimultaneous optimization of layout and task schedule for robotic cellular manufacturing systems.\u201d Computers & Industrial Engineering. vol.102, no.1, pp.396-407, 2016.\r\n[7]\tT. Berlec, P. Poto\u010dnik, E. Govekar, and M. Starbek. \u201cA method of production fine layout planning based on self-organising neural network clustering.\u201d International Journal of Production Research, vol.52, no.24, pp.7209-7222, 2014.\r\n[8]\tR. D. Prasad, K. V. Kumar, and P. A. Jeeva. \u201cSystematic Layout Planning and Balancing of Engine Production Processes for After Test and After Paint Assembly Lines.\u201d International Journal of Vehicle Structures & Systems, vol.8, no.1, pp.41-44, 2016.\r\n[9]\tI. N. Papadaki, and A. P. Chassiakos. \u201cMulti-objective Construction Site Layout Planning Using Genetic Algorithms.\u201d Procedia Engineering, vol.164, pp.20-27, 2016.\r\n[10]\tH. Wang, X. Zhu, H. Wang, S. J. Hu, Z. Lin, and G. Chen. \u201cMulti-objective optimization of product variety and manufacturing complexity in mixed-model assembly systems\u201d. Journal of Manufacturing Systems, vol.30, no.1, pp.16-27, 2011.\r\n[11]\tH. A. ElMaraghy, O. Kuzgunkaya, and R. J. Urbanic. \u201cManufacturing systems configuration complexity.\u201d CIRP Annals - Manufacturing Technology, vol.54, no.1, pp.445-450, 2005.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 130, 2017"}