Manufacturing Work Study and System Analysis of the NIFOR Digester Screw Press

Abstract:

It is generally assumed that the probability of the customer placing an order is always one, implying that customers will place orders regardless of producer quoted lead times and customer lead time expectations. As the job shops increasingly compete on the basis of the delivery speed and reputation, the relative performance of quoted versus actual realized lead times will have a strong effect on whether the customer will place future orders or not. A work study and manufacturing system analysis was conducted on the NIFOR digester screw press to study the techniques of job shop scheduling. Incessant delay in manufacturing process, job tardiness and unsatisfactory customers feedback had led to this research work. The work involves critical examination of all the resources and factors which affect the efficiency of the job shop. Machines set up times and run times were collected at each machine centre for all the components produced during the period of evaluation. The data collected were used as input data for the Gantt chart to evaluate the total actual times spent in performing each task. The work provides useful information for the development of an improved method of job scheduling for effective machine utilization so as to minimize the total time required for completion of all manufacturing tasks and reduce job tardiness.

• Periodical: Advanced Materials Research (Volume 824)
• Pages: 225-229
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.824.225
• Online since: September 2013
• Authors: B.O. Abikoye, P.E. Amiolemhen
• Keywords: Improved Productivity, Machine Utilization, System Analysis, Work Study

References

[1] J. S Kim, & J. G Miller, Building the value factory: a progress report for U.S. Manufacturing Research Report, Boston University Manufacturing Roundtable, (1992).

[2] A. Artiba and S. E Elmaghraby, The Planning and Scheduling of Production Systems" Methodologies and Applications, New York: Chapman & Hall, (1997).

[3] J. L Giese, & J. A Cote, Defining customer satisfaction. Academy of marketing science review, (2000).

[4] R. G Askin, C. R Standridge, Modelling and Analysis of Manufacturing System. Wiley (1993) Ch4.

[5] W. Xia, & Z. Wu, An effective hybrid optimization approach for multi-objective Flexible job-shop scheduling problems. Computers & Industrial Engineering, 48, 2 (2005) p.409 – 425.

DOI: 10.1016/j.cie.2005.01.018

[6] J. W. M Bertrand, & H. P. G. Ooijen, Customer order lead times for production based on lead time and tardiness costs,. International Journal of Production Economics, 64 (2000) 257-265.

DOI: 10.1016/s0925-5273(99)00063-8

[7] G. Booch, Object-oriented analysis and design with applications, Addison- Wesley, (1994).

[8] E. Goldratt, The Goal: A Process of Ongoing Improvement, Great Barrington MA: North River Press Inc, (1984).

[9] C. D Ittner & D. F Larcker, Are Nonfinancial measures Leading Indicators of Financial Performance? An analysis of Customer Satisfaction. Journal of Accounting Research (1999) 36, 1-35.

DOI: 10.2307/2491304

[10] A. Persona, A. Regaltieri & P. Romano, An integrated reference model for prod. Plan. & Contrl in SMEs, J. Manuf. Technol. Manage, 15(7) (2004) pp.626-640.

[11] J. M Roberts, "Production Scheduling in a lean Remanufacturing Environment, M. Eng thesis, University of Louisville, Louisville, Ky, (2005).

[12] Sabuncuoglu and M. Bayiz, analysis of reactive scheduling problems in a job shop environment, European Journal of Operational Research, Vol. 126, Issue 3 (2000) pp.567-586.

DOI: 10.1016/s0377-2217(99)00311-2

[13] S. Webster, S. Dynamic pricing and lead-time policies for make to order systems. Decision Sciences, 33(4), (2002) p.579, 599.

DOI: 10.1111/j.1540-5915.2002.tb01657.x

[14] T. Loukil, J. Teghem, & P. Fortemps, A multi-objective production scheduling case study solved by simulated annealing. European Journal of Operational Research, 179, 3 (2007), p.709 – 722.

DOI: 10.1016/j.ejor.2005.03.073