Amelioration of Capacity Constraints in Manufacturing Systems Using Alternate Production Sequence
DOI:
https://doi.org/10.37266/ISER.2017v5i1.pp73-92Abstract
Today’s market is in a constant flux of demand changes. Due to this the product demand and the product mix continuously change from one time-period to the next. For a company to be profitable and competitive, it has to ensure that all of its resources are optimally utilized. These resources include facility layout, material handling, and production system. Previous research has shown that the system state has to be identified prior to increasing capacity to mitigate the constraint. As the demand and product mix change, a facility layout that was efficient can soon become inefficient or the cost of production and material handling increase. This research evaluates usage of alternate part sequence as a means to eliminate or reduce production system constraints. It focuses on reducing machine usage when the selected process sequence leads to production capacity constraints.References
Ameli, M. S. J., and Arkat, J., (2008), “Cell formation with alternative process routings and machine reliability consideration”, International Journal of Advanced Manufacturing Technology”, Vol. 35, pp. 761-768.
Ameli, M. S. J., Arkat, J. & Barzinpour, F. (2008). Modelling the effects of machine breakdowns in the generalized cell formation problem. International Journal of Advanced Manufacturing Technology, 39, 838-850.
Azadivar, F., & Wang, J. J., (2000). Facility layout optimization and genetic algorithms. International Journal of Production Research, 38, 17, 4369-4383.
Balakrishnan, J., and Cheng, C. H. (2000). Genetic search and the dynamic layout problem. Computers and Operations Research, 27, 587-593.
Baykasoglu, A., and Gindy, N. N. Z. (2001). A simulated annealing algorithm for dynamic layout problem. Computers and Operations Research, 28, 1403-1426.
Benjaafar, S., and Sheikhzadeh, M. (2000). Design of flexible plant layouts. IIE Transactions, 32, 309-322.
Benjaafar, S., Heraghu, S. S. and S.A. Irani, (2002) “Next Generation Factory Layouts: Research challenges and recent progress,” Interfaces, Vol. 32(6), 58-76.
Conway, D. G., and Venkataramanan, M. A. (1994). Genetic search and the dynamic facility layout problem. Computers and Operations Research, 21, 8, 955-960.
Dhuttargoan, Krishnan, and Shah (2017), An Integrated Approach for the Analysis of Manufacturing System States, , Industrial and Systems Engineering Review 5(1), pp. 59-70.
Diallo, M., Pierreval, H. & Quilliot, A. (2001). Manufacturing cells design with flexible routing capability in the presence of unreliable machines. International Journal of production Economics, 74, 175-182.
Elleuch, M., Bacha, H. B., Masmoudi, F. & Maalej, A. Y. (2008). Analysis of cellular manufacturing systems in the presence of machine breakdowns – Effects of intercellular transfer. Journal of Manufacturing Technology Management, 19(2), 235-252.
Jabalameli, M. S., Arkat, J. & Sakri, M. S. (2008). Applying metaheuristics in the generalized cell formation problem considering machine reliability. Journal of the Chinese Institute of Industrial Engineers, 25(4), 261-274.
Jeon, G., Broering, M., Leep, H. R., Parasaei, H. R. & Wong, J. P. (1998). Part family formation based on a new similarity coefficient which considers alternative routes during machine failure. Computers & Industrial Engineering, 35(3-4), 479-482.
Jeon, G., Leep, H. R. & Parsaei, H. R. (1998). A cellular manufacturing system based on new similarity coefficient which considers alternative routes during machine failure. Computers & Industrial Engineering, 34(1), 21-36.
Kochhar, J. S., and Heragu, S. S. (1999). Facility layout design in a changing environment. International Journal of Production Research, 37, 11, 2429-2446.
Kouvelis, P., and Kiran, A. S. (1991). Single and Multiple period layout models for automated manufacturing systems. European Journal of Operational Research, 52, 300-314.
Krishnan, K.K., Cheraghi, S.H. and Nayak, C., (2006), “Dynamic from-between chart: a new tool for solving dynamic facility layout problems,” International Journal of Industrial and Systems Engineering, Vol. 1(½), pp. 182–200.
Krishnan, K.K., Jithavech, I., and Liao, H. (2009). Mitigation of Risk in Facility Layout Design for Single and Multi-Period Problems. International Journal of Production Research, 47, 21(1), 5911 – 5940.
Meller, R., and Gau, K.Y., (1996), “The facility layout problem: recent and emerging trends and perspectives,” Journal of Manufacturing Systems, Vol. 15, No. 5, pp. 351 – 366.
Shah, Krishnan, and Dhuttargoan (2015). Dynamic facility planning under production and material handling capacity constraints, submitted for review, Journal of Journal of Supply Chain and Operations Management, Vol. 13, #.1, 2015, pp. 78-107.
Tompkins, J.A., White, J.A.,Bozer, Y.A., & Tanchoco, J.M.A. (2010). Facilities Planning. Hoboken, NJ: John Wiley & Sons.
Urban, T. L. (1993). A Heuristic for the dynamic facility layout problem. IIE Transactions, 25, 4, 57-63.
Yang, T., and Peters, B. A. (1998). Flexible machine layout design for dynamic and uncertain production environments. European Journal of Operational Research, 108, 49-64.
Published
How to Cite
Issue
Section
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
The copyediting stage is intended to improve the flow, clarity, grammar, wording, and formatting of the article. It represents the last chance for the author to make any substantial changes to the text because the next stage is restricted to typos and formatting corrections. The file to be copyedited is in Word or .rtf format and therefore can easily be edited as a word processing document. The set of instructions displayed here proposes two approaches to copyediting. One is based on Microsoft Word's Track Changes feature and requires that the copy editor, editor, and author have access to this program. A second system, which is software independent, has been borrowed, with permission, from the Harvard Educational Review. The journal editor is in a position to modify these instructions, so suggestions can be made to improve the process for this journal.
