The week's pick
Reseach Article
Scheduling Oriented Improvement of Kanban Card Resupplying in Logistic Systems at Automotive Industry
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 49 - Number 14 |
| Year of Publication: 2012 |
| Authors: Taher Taherian, Samira Bairamzadeh |
10.5120/7694-1022
|
Taher Taherian, Samira Bairamzadeh . Scheduling Oriented Improvement of Kanban Card Resupplying in Logistic Systems at Automotive Industry. International Journal of Computer Applications. 49, 14 ( July 2012), 13-21. DOI=10.5120/7694-1022
Abstract
Kanban is a pull production system that is very useful in Automotive Production Industry. Logistic systems in automotive industry, tries to apply the best system of logistic to supply the production lines and stations by bringing the parts and all requirements in best quantity and timing in order to come off the JIT specifications. In this article we try to exert a sequencing concept in Kanban card rotations to minimize the line shortage of parts causes stop in production procedure. Minimizing the Resupplying Cycle Times in production lines lead to less quantity of shortages that's one important purpose of lean production. We introduce an appropriate sequencing and scheduling objective function related to Kanban card rotations to minimize some criteria affects the line inventories and causes some improvements on probable shortages. To know the weights of each job we used the Shannon's Entropy method combined with SAW decision making method and we solved the sequencing and scheduling problem with total weighted tardiness objective function, using VNS heuristic method. To show the improvement and positive effects of our method we presented a real world case study and applied our model to a real world case study to observe the improvements in backlogs and tardiness in Kanban resupplying. Finally we presented the achieved improvements.
References
- Gravel, M. , and Price, W. L. 1988. Using the kanban in a job shop environment. International journal of production research, 26(6), 1105-1118.
- Framinan, J. M. , Gonzalez, P. L. and Ruiz-Usano, R. 2006. Dynamic card controlling in a CONWIP systems. International Journal of Production Economics, 99, 102-116.
- Pettersena, J. A. , and Segerstedt, A. (2009). Restricted work-in-process: A study of differences between Kanban and CONWIP. International Journal of Production Economics. 118(1)(199-207).
- Junior, M. L. , and Fulho, M. G. 2010. Variations of the kanban systems: Literature review and Classification. International journal of Production Economics, 125 (2010) 13-21.
- Sipper, D. , and Bulfin, R. L. 1997. Production : Planning, Control and Integration. Mcgraw-Hill, New Yourk.
- Rabbani, M. , Layegh, J. , and Mohammad,Ebrahim, R. (2009). Determination of number of kanbans in a supply chain system via Memetic algorithm. Advances in Engineering Software. 40(6)(431-437).
- Tardif, V. , and Maaseidvaag, L. 2001. An adaptive approach to controlling kanban systems. European Journal of Operational Research, 132(2), 411-424.
- Chaudhury, A. , and Whinston, A. B. 1990. Towords an adaptive kanban system. International Journal of Production Research. 28(3), 437-458.
- Yang, L. , and Zhang, X. P. 2009. Design and pplication of Kanban Control System in a Multi-Stage, Mixed-Model Assembly Line. Systems Engineering - Theory & Practice. 29(9)(64-72).
- Mohanty, R. P. , Kumar, S. ,andTiwariM. k. 2003 . Expert enhanced colourd fuzzy petri net models of traditional, flexible and reconfigurable kanban systems. Production Planning and Control 14(5), 459-477.
- Andijani, A. 1998. A multi-criterion approach for kanban allocations. Omega 26(4), 483-493.
- Shahabudeen, P. , and Sivakumar, G. D. 2008. Algorithm for the design of single-stage adaptive kanban system. Computers & Industrial Engineering, 54(4) , 800-820.
- Turner,R. , Ingold, D. , Lane, J. A. , Madachy, R. , and Anderson,D. 2012. Effectiveness of kanban approaches in systems engineering within rapid response environments. Procedia Computer Science. 8(309-314).
- Al-Tahat, M. D. , and Mukattash, M. 2006. Design and analysis of production control scheme for Kanban-based JIT environment. Journal of the Franklin Institute, 343(4-5), 524-531.
- Hou, T. , and Hu, w. 2011. An integrated MOGA approach to determine the Pareto-optimal kanban number and size for a JIT system. Expert Systems with Applications, 38(5), 5912-5918.
- Wang, J. B. , Wang, D. , and Zhang, G. D. 2010. Single-machine scheduling with learning functions. Applied Mathematics and Computation, 216 (4) , 1280-1286.
- Li, J. , Yuan, X. , and Xu, D. 2011. Setting due dates to minimize the total weighted possibilistic mean value of the weighted earliness tardiness costs on a single machine. Computers and Mathematics with Applications, 12, 123–217.
- Cheng, H. , and Lio, H. 2010. A coordinated scheduling system for customer orders scheduling problem in job Shop environments. Expert Systems with Applications, 37 (10), 7831–7837.
- Erel, E. , and Ghosh, B. 2007. Customer order scheduling on a single machine with family setup times: Complexity and algorithms. Applied Mathematics and Computation, 185 (7) 11–18.
- Sheng, H. , and Lio, C. 2009. Improving the delivery efficiency of the customer order scheduling problem in a job shop. Computers & Industrial Engineering, 57 (3), 856–866.
- Wang, G. , and Cheng, E. 2007. Customer order scheduling to minimize total weighted completion time. Omega, 35 (7) 623 – 626.
- Chou, D. 2009. An experienced learning genetic algorithm to solve the single machine total weighted tardiness scheduling problem. Expert Systems with Applications, 36, 3857–3865.
- Wang, X. 2009. Aopulation base variable neighborhood search for the single machine total weighted Tardiness problem. Computers & Operations Research, 36 (9) 2105.
- Taherian, T. , Mohammadi, M. , and Bairamzadeh, S. 2011. A Scheduling Based Backlog Reduction Method in CONWIP Production Systems. International Journal of Computer Applications, (0975 – 8887) 32– No. 5.
Index Terms
Keywords