Simulation Modelling for Lean Production: Case Study
This article presents the simulation results of using Arena software in investigating the influence of lean production that depend on sequencing techniques in a manufacturing firm which operates based on engineer-to-order. By using the actual data collected from a case study, two sequencing techniques, Johnson Rule’s and Critical Ratio were applied. The result showed that the use of sequencing techniques in an engineer-to-order operation was beneficial in optimising the operating time, and increasing output number. The finding will benefit manufacturing firms in making strategic decision to implement lean production in engineer-to-order operations.
M.Z. Yusup, W.H. Wan Mahmood and M.R. Salleh, "Basic formation in streamlining lean practices in manufacturing operations – a review", International Journal of Advanced Operations Management, vol. 7, no. 4, pp. 255–273, 2015.
C. Hicks, T. Mcgovern and C.F. Earl, "Supply chain management : A strategic issue in engineer to order manufacturing", International Journal of Production Economics, vol. 65, no. 2, pp. 179–190, 2000.
D. Corti, A. Pozzetti and M. Zorzini, "A capacity-driven approach to establish reliable due dates in a mto environment", International Journal of Production Economics, vol. 104, no. 2, pp. 536–554, 2006.
N.S. Cameron and P.M. Braiden, "Using business process re-engineering for the development of production efficiency in companies making engineered to order products", International Journal of Production Economics, vol. 89, no. 3, pp. 261–273, 2004.
M.Z. Yusup, W.H. Wan Mahmood, M.R. Salleh and A.S. Mohd Yusof, "Review the influence of lean tools and its performance against the index of manufacturing sustainability”, International Journal of Agile Systems and Management, vol. 8, no. 2, pp. 116–131, 2015.
W.H. Wan Mahmood, M.Z. Yusup, M.R. Salleh and A.S. Mohd Yusof, “The relation between manufacturing sustainability and lean production in malaysian industries - an initial study”, Applied Mechanics and Materials, vol. 761, pp. 560–565, 2015.
F.A. Abdulmalek and J. Rajgopal, "Analyzing the benefits of lean manufacturing and value stream mapping via simulation: a process sector case study”, International Journal of Production Economics, vol. 107, no. 1, pp. 223–236, 2007.
W. Linxiu and M. Hai-song, "Simulation research on the driving factors of clean production based on the system dynamics", in 2009 International Conference on Information Management, Innovation Management and Industrial Engineering, (ICIII), Xian, China, 2009, pp. 266–271.
S.T. Tuan, A.N.M. Karim, H.M. Emrul Kays, A.K.M.N. Amin and M.H. Hasan, "Improvement of workflow and productivity through application of maynard operation sequence technique (MOST)", in Fourth International Conference on Industrial Engineering and Operations Management, Bali, Indonesia, 2014, pp. 2162–2171.
T.K. Yadav, “Measurement time method for engine assembly line with help of maynard operating sequencing technique (MOST)", International Journal of Innovations in Engineering and Technology, vol. 2, no. 2, pp. 131–136, 2013.
ILO, Introduction to Work Study, Revised Ed. Geneva, Switzerland: International Labour Office, 1969.
E.S. Page, "An approach to the scheduling of jobs on machines", Journal of the Royal Statistical Society. Series B (Methodological), vol. 23, no. 2, pp. 484–492, 1961.
S.M. Johnson, "Discussion: sequencing n jobs on two machines with arbitrary time lags", Management Science, vol. 5, no. 3, pp. 299–303, 1959.
K.R. Baker and J.J. Kanet, "Job shop scheduling with modified due dates", Journal of Operations Management, vol. 4, no. 1, pp. 11–22, 1983.
W.L. Berry, R.J. Penlesky and T.E. Vollmann, "Critical ratio scheduling: dynamic due-date procedures under demand uncertainty", IIE Transactions, vol. 16, no. 1, pp. 81–89, 1984.
R. Ramasesh, "Dynamic job shop scheduling: a survey of simulation research", OMEGA International Journal of Management Science, vol. 18, no. 1, pp. 43–57, 1990.
J.V. Vlajic, J.G.A.J. Van Der Vorst and R. Haijema, "A framework for designing robust food supply chains", International Journal of Production Economics, vol. 137, no. 1, pp. 176–189, 2012.
Authors who publish with this journal agree to the following terms:
- Authors transfer copyright to the publisher as part of a journal publishing agreement 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) after the manuscript is accepted, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).