Simul8 in Supply Chain
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PLYMOUTH BUSINESS SCHOOL
COURSEWORK COVERSHEET
GROUP WORK
NAMES and NUMBERS of students in the group (2 Students):
1. El-Iraki, Youssef (10448517)
2. Badr, Noureldin (10445226)
MODULE CODE : MBM5204
MODULE NAME : Logistics, Supply Chains, Systems and Methods
Lecturer : Professor Dongping Song
DEADLINE : 11th February 2013
WORD COUNT : 1,657
By submitting this piece of assessment the group confirms that all the work is thoroughly and adequately acknowledge and referenced, and has been completed in accordance with the University and Programme Regulations.
Table of Contents
1.0 Introduction 3
2.0 Current Simulation Model 3
2.1 Clock Options 3
2.2 The warm-up period 3
2.3 Results collection period 4
2.4 The number of trials used 4
2.5 Results analysis 4
3.0 Pooling Resources 5
3.1 The impact of pooling resources 5
3.2 Comparison between initial model and pooled model 6
4.0 Usefulness of Simulation Model in Business Context 6
4.1 Simulation and decision making 6
4.2 Researcher Recommendation 8
5.0 Bibliography 9
6.0 Appendices: 11
1.0 Introduction
Simulation is one of the three quantitative analysis solutions and it is essential in logistics decision making (Ghiani, et al., 2004). Simulation model can answer what if questions in existing system as for this case, the business needs to know and evaluate performance if two warehouses and four drivers can be pooled to compare the results and the influence of the supply chain performance, in order to give an optimal supply-production-distribution system decisions. The researchers used SIMUL8 program to run the simulations and draw the predictable models needed.
2.0
PLYMOUTH BUSINESS SCHOOL
COURSEWORK COVERSHEET
GROUP WORK
NAMES and NUMBERS of students in the group (2 Students):
1. El-Iraki, Youssef (10448517)
2. Badr, Noureldin (10445226)
MODULE CODE : MBM5204
MODULE NAME : Logistics, Supply Chains, Systems and Methods
Lecturer : Professor Dongping Song
DEADLINE : 11th February 2013
WORD COUNT : 1,657
By submitting this piece of assessment the group confirms that all the work is thoroughly and adequately acknowledge and referenced, and has been completed in accordance with the University and Programme Regulations.
Table of Contents
1.0 Introduction 3
2.0 Current Simulation Model 3
2.1 Clock Options 3
2.2 The warm-up period 3
2.3 Results collection period 4
2.4 The number of trials used 4
2.5 Results analysis 4
3.0 Pooling Resources 5
3.1 The impact of pooling resources 5
3.2 Comparison between initial model and pooled model 6
4.0 Usefulness of Simulation Model in Business Context 6
4.1 Simulation and decision making 6
4.2 Researcher Recommendation 8
5.0 Bibliography 9
6.0 Appendices: 11
1.0 Introduction
Simulation is one of the three quantitative analysis solutions and it is essential in logistics decision making (Ghiani, et al., 2004). Simulation model can answer what if questions in existing system as for this case, the business needs to know and evaluate performance if two warehouses and four drivers can be pooled to compare the results and the influence of the supply chain performance, in order to give an optimal supply-production-distribution system decisions. The researchers used SIMUL8 program to run the simulations and draw the predictable models needed.
2.0
Bibliography: • Concannon, K. Elder, M. Hindle, K. Tremble, J. and Tse, S. (2007) Simulation Modeling with simul8. [online] Available at: < http://www.visual8.com/wp-content/uploads/2011/03/simulation_modeling_with_simul8_web.pdf > [Accessed on 26th of January 2013]. • Concannon, K. H., Hunter, K. I. & Tremble, J. M. (2003) SIMUL8-Planner: Simulation-Based Planning and Scheduling. [online] Available at: < http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=01261593 > [Accessed on 28th of January 2013]. • Freeman, J., Shoesmith, E., Anderson, D.R., Sweeney, D.J. & Williams, T.A. (2010) Statistics for business and economics. 2nd ed. Hampshire: South-Western Cengage learning. • Ghiani, G., Laporte, G. and Musmanno, R. (2004) Introduction to logistics systems planning and control. Chichester: Wiley. • McLean, C. and Leong, S. (2001) The Role of Simulation in Strategic Manufacturing. [online] Available at: < http://citeseerx.ist.psu.edu/messages/downloadsexceeded.html > [Accessed on 30th of January 2013]. • Simul8 (2013) Warm-up Time. [online] Available at: < http://www.simul8.com/support/help/doku.php?id=gettingstarted:techguide:warmup&do=show > [Accessed on 26th of January 2013]. • Simul8. (2013) Chrysler projected to save $5 million using SIMUL8. [online] Available at: < http://www.simul8.com/our_customers/case_studies/chrysler_line_balancing.htm > [Accessed on 28th of January 2013].