• No results found

7. Conclusions and recommendations

7.2 Recommendations

We recommend the following points to follow up this research.

1. Make a planning of the implementation. The appointed guiding coalition should

elaborate each step of the implementation plan in smaller activities, assign tasks and responsibilities and make a milestone planning for it.

2. Initiate an improvement project to increase the on time delivery of parts from suppliers.

As stated before a barrier to gain the results of this research is that not all parts are available. Currently, the on time delivery of metal parts is the poorest. Therefore, we recommend to focus on the suppliers of metal parts. This improvement project can be done in parallel with the implementation of this research. We recommend that the procurement and logistics department takes responsibility and control of this improvement project, because it is related to the suppliers.

3. Initiate an improvement project to optimise the car of the warehouse to the new

standard. We recommend to do this after implementation of the new standard, with the same guiding coalition plus stakeholders of the warehouse. This is because the guiding coalition is familiar with the new standard. Stakeholders of the warehouse need to be added, because of the possible limitations in the warehouse which the guiding coalition is not aware of and gaining support of the employees of the warehouse.

4. After the implementation, start with continuous improvement of FA by keeping track

of the flaws at FA with a Pareto analysis and solve these flaws. A Pareto analysis gives an overview of the largest flaws, where ZGEU can obtain the largest improvements. Besides, it forces the organisation to gather data about the process and gives direction for continuous improvement of the process.

5. We have limited the scope of this research to the bottleneck process, therefore other

processes have not been researched. However, we expect that by researching the other processes with the same approach of this research at FA, an extra significant reduction in the production lead time can be gained.

59

References

Baldwin, D.F., Abell, T.E., Lui, M.M., Fazio, T.L. de, & Whitney, D.E. (1991). An integrated computer aid for generating and evaluating assembly sequences for mechanical

products. IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 7(1), 78-94.

Behnamian, J., Zandieh, M., & Fatemi Ghomi, S.M.T. (2009). Parallel-machine scheduling problems with sequence-dependent setup times using an ACO, SA and VNS hybrid

algorithm. Expert Systems with Applications, 36, 9637-9644.

Betterton, C.E., & Silver, S.J. (2012). Detecting bottlenecks in serial production line – a focus

on interdeparture time variance. International Journal of Production Research, 50(15),

4158-4174.

Brook, Q. (2006). Lean Six Sigma and Minitab. Hampshire: OPEX Resources Ltd.

Burnes, B. (2015). Understanding resistance to change- building on Coch and French. Journal

of Change Management, 15(2), 92-116.

Cho, K.T. (2002). Multicriteria decision methods: an attempt to evaluate and unify.

Mathematical and computer modelling, 37, 1099-1119

Dini, G., Failli, F., Lazzerini, B., & Marcelloni, F. (1991). Generation of optimized assembly

sequences using genetic algorithms. Annals of the CIRP, 48(1), 17-20.

Drießel, R., & Moench, L. (2009). Scheduling jobs on parallel machines with sequence- dependent setup times, precedence constraints and ready times using Variable

Neighborhood Search. IEEE, 273-278.

Faccio, M. (2014). The impact of production mix variations and models varieties on the parts-

feeding policy selection in a JIT assembly system. Int J Adv Manuf Technol, 72, 543-

560.

Gambles, I. (2009). Making the business case: proposals that succeed for projects that work. Bodmin: MPG Books Ltd.

Heerkens, H. (2004). A methodological checklist for the high-tech marketing project. Retrieved at 22 September, 2014 from

<https://blackboard.utwente.nl/webapps/blackboard/content/listContent.jsp?course_id =_18197_1&content_id=_747664_1>

Homem de Mello, L.S., & Sanderson, A.C. (1991). A correct and complete algorithm for the

generation of mechanical assembly sequences. IEEE TRANSACTIONS ON ROBOTICS

AND AUTOMATION, 7(2), 228-240.

Ingham, A.G. (1974). The Ringelmann effect: studies of group size and group performance.

Journal of experimental social psychology, 10, 371-384

Jones, R.E., Wilson, R.H. & Calton, T.L. (1998). On constraints in assembly planning. IEEE

TRANSACTIONS ON ROBOTICS AND AUTOMATION, 14(6), 849-863.

Kanai, S., & Makino, H. (1996). ASPEN: computer-aided assembly sequence planning and

evaluation system based on predetermined time standard. Annals of the CIRP, 45(1), 35-

39.

Kim, E., & Posner, M.E. (2010). Parallel machine scheduling with s-precedence constraints.

IIE Transactions, 42(7), 525-537.

Kotter, J. (2012) The 8-Step Process for Leading Change. Retrieved from Kotter Internatonal: <http://nextgen.kotterinternational.com/our-principles/changesteps>

60

Laperrière, L. (1992). Generative assembly process planning (thesis for doctor of philosophy). Mechanical Engineering, McMater University, Hamilton, Ontario.

Law, A.M. (2015). Simulation modelling and analysis. 5th edition. New York: McGraw-JJill Education.

Lima, E., Chwif, L., & Barreto, M.R.P. (2008). Methodology for selecting the best suitable bottleneck. In S.J. Mason, R.R. Hill, L. Mönch, O. Rose, T. Jefferson and J.W. Fowler

(Eds.), 2008 Winter Simulation Conference (1746-1751). IEEE.

Marcus, J., & Dam, N. van (2009). Een praktijkgerichte benadering van organisatie en Management. 6th edition. Groningen: Noordhoff.

Medbo, L. (2003). Assembly work execution and materials kit functionality in parallel flow

assembly systems. International Journal of Industrial Ergonomics, 31, 263-281.

Mehta, A. (2000). Smart modelling – basic methodology and advanced tools. In J.A. Joines,

R.R. Barton, K. Kang and P.A. Fishwick (Eds.), 2000 Winter Simulation Conference

(241-245).

Münstermann, B., & Weitzel, T. (2008). What is process standardization?. International

Conference on Information Resources Management 2008proceedings. Paper 64. <http://aisel.aisnet.org/confirm2008/64>

Nazarian, E., Ko, J., & Wang, H. (2010). Design of multi-product manufacturing lines with the consideration of product change dependent inter-task times, reduced changeover and

machine flexibility. Journal of Manufacturing Systems, 29, 35-46.

Pietersma, P. et al. (2006). Het strategie boek een veranderend speelveld/ Berenschot. Den Haag: Sdu Uitgevers bv.

Pihir, I., Konecki, M., & Tomicic-Pupek, K. (2015). How measurement and analysis of business processes impact employees?. International Academic Conference on Social Sciences and Humanities, Proceedings of IAC-SSaH 2015 (258-263). CIAE: Prague.

Ramírez Palencia, A.E., & Mejía Delgadillo, G.E. (2012). A computer application for a bus

body assembly line using genetic algorithms. International Journal Production

Economics, 140, 431-438.

Rocha, M., Gómez Ravetti, M., Mateus, G.R., & Pardalos, P.M. (2007). Solving parallel machines scheduling problems with sequence-dependent setup times using Variable

Neighborhood Search. IMA Journal of Management Mathematics, 18, 101-115.

Roser, C., Lorentzen, K., & Deuse, J. (2014). Reliable shop floor bottleneck detection for flow

lines through process and inventory observations. Procedia CIRP, 19, 63-68.

Saaty, T.L. (2013). The modern science of multicriteria decision making and its practical

applications: the AHP/ANP approach. Operation Research, 61(5), 1101-1118.

Schutten, M. (n.d.). dobp-sheets1UK [PowerPoint slides]. Retrieved from

<https://blackboard.utwente.nl/webapps/blackboard/content/listContent.jsp?course_id =_17871_1&content_id=_736395_1>

Schwartz, D., Fischhoff, B., Krishnamurti, T., & Sowell, F. (2013). The Hawthorne effect and

energy awareness. PNAS, 110(38), 15242-15246.

Sevkli, M., & Uysal, H. (2009). A modified Variable Neighborhood Search for minimizing the

makespan on identical parallel machines. IEEE, 108-111.

Shirey, M.R. (2012). Stakeholder analysis and mapping as targeted communication strategy.

61

Smith, S.M., & Albaum, G.S. (2005). Fundamentals of Marketing research. California: Sage Publications Inc.

Symbol business improvement (2014). Lean six sigma green belt training. Retrieved from University of Twente.

Tavakkoli-Moghaddam, R., Taheri, F., Bazzazi, M., Izadi, M., & Sassani, F. (2009). Design of a genetic algorithm for bi-objective unrelated parallel machines scheduling with

sequence-dependent setup times and precedence constraints. Computer & Operations

Research, 36, 3224-3230.

Trask, K.M., Rice, R.W., Anchors, S., & Lilieholm, R.J. (2009). Management styles of lumber

mill managers in the northern United States. Forest Products Journal, 59(3), 29-34.

Vallada, E., & Ruiz, R. (2011). A genetic algorithm for the unrelated parallel machine

scheduling problem with sequence dependent setup times. European Journal of

Operational Research, 211, 612-622.

Veld, J. in ‘t (2007). Analyse van bedrijfsprocessen. 9th edition. Groningen: Noordhoff. Xu, H., Yuan, M., & Li, D. (2009). A novel process planning schema based on process

knowledge customization. International Journal of Advanced Manufacturing

Technology, 44, 161-172.

Zodiac Galleys Europe (2015a). A320 SFE Galleys and Stowages [PowerPoint slides]. Retrieved at 29 June, 2015 from Zodiac Galleys Europe.

Zodiac Galleys Europe (2015b). Hours new standard [Excel spreadsheet]. Retrieved at 8 September, 2015 from Zodiac Galleys Europe.

Zodiac Galleys Europe (2015c). LEAN - BASIC TRAINING [PowerPoint slides]. Retrieved at 10 September, 2015 from Zodiac Galleys Europe.

Zodiac Galleys Europe (2015d). Export PQC hlaseni [Excel spreadsheet]. Retrieved at 20 November, 2015 from Zodiac Galleys Europe.

Zodiac Galleys Europe (2015e). ZGEU ORG CHART [PowerPoint slides]. Retrieved at 12 August, 2015 from Zodiac Galleys Europe.

Zodiac Galleys Europe (2014). ZGEU suppliers day [PowerPoint slides]. Retrieved at 18 September, 2014 from Zodiac Galleys Europe.

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Appendix

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