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Computer Aided System for Manufacturing Industries Economic Production Status Determination

DOI: 10.4236/oalib.1104133, PP. 1-14

Subject Areas: Industrial Engineering

Keywords: Computer Aided System, Economic Productivity Determination, Manufacturing Industries

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Abstract

Performance status has to do with profitability of manufacturing industries. Good performance brings about increase in productivity. There are in existence different models and software, but none has been able to develop software based on American Productivity Center model (APC). The strategic decisions required were identified as: Factor Productivity, Price Recovery and Cost Effectiveness indices, while the parameters used are: quantity produced, price per unit, labour input time, cost per hour of labour as well as the period. These were used to develop the models for the strategic decisions mentioned and software (PPE-INDICES, 2016) for implementation of the models using Java programming language. Olam cocoa processing company was used as the case study and the software was able to report the performance of the company thus: 24%, 51% and 87% increase in Factor Productivity, Price Recovery and Cost Effectiveness indices respectively for period 2013/2014, 29%, 20% and 55% increase in Factor Productivity, Price Recovery and Cost Effectiveness indices respectively for period 2014/2015, and 23%, 13% and 39% increase in Factor Productivity, Price Recovery and Cost Effectiveness indices respectively for period 2015/2016. The model and its software will find its application in all manufacturing industries of developing and developed countries.

Cite this paper

Akinnuli, B. O. , Kalu-Imo, E. C. and Yakubu, A. J. (2018). Computer Aided System for Manufacturing Industries Economic Production Status Determination. Open Access Library Journal, 5, e4133. doi: http://dx.doi.org/10.4236/oalib.1104133.

References

[1]  Kayode, M.O. (1989) Nigeria since Independence: The First 25 Years. Heinemann Books Ltd., Ibadan.
[2]  Al-Darrab, I. (2000) Relationships between Productivity, Efficiency, Utilisation and Quality. Work Study, 49, 97-103. https://doi.org/10.1108/00438020010318073
[3]  Broman (2004) Productivity Measurement and its Relationship to Quality in a South African Minting Company. A Research Report Presented to the Graduate School of Business Leadership University of South Africa by Mtotywa M.M.
[4]  Mtotywa, M.M. (2007) Productivity Measurement and Its Relationship to Quality in a South African Minting Company.
[5]  CBN (2003) Contemporary Economic Policy Issues in Nigeria. CBN Publication, Abuja.
[6]  Kishor, K.K. (2016) Productivity and Efficiency Measuremnet Model Developmenet Plants. 3rd International Conference on Multidisciplinary Research and Practice, 4. 89-95.
[7]  Schroeder, R.G. (1985) Operations Management: Decision Making in the Organizations Function. McGraw-Hill, New York.
[8]  Etable, L.M., Brigilar, P.F. and Ifurueze, M. (2016) Human Resources Expenditure and Productivity of Universities in Nigeria. Archives of Business Research, 4, 1-9. https://doi.org/10.14738/abr.43.353
[9]  Krugman P. (1990) The Age of Diminished Expectations. MIT Press, Cambridge, MASS, p. 9.
[10]  Slack, N., Chambers, S. and Johnston, R. (2001) Operations Management. 3rd Edition, Prentice-Hall, Harlow.
[11]  Tangen, S. (2005) Demystifying Productivity and Performance. International Journal of Productivity and Performance Management, 54, 34-46. https://doi.org/10.1108/17410400510571437
[12]  Oyeranti, G.A. (2006) Concept and Measurement of Productivity. University of Ibadan, Ibadan.
[13]  Alsyouf, I. (2007) The Role of Maintenance in Improving Companies Productivity and Profitability. International Journal of Production Economics, 105, 70-78. https://doi.org/10.1016/j.ijpe.2004.06.057
[14]  Helo, P. (2005) Managing Agility and Productivity in the Electronics Industry. Industrial Management & Data Systems, 104, 567-577. https://doi.org/10.1108/02635570410550232
[15]  Wazed, M.A. and Ahmed, S. (2008) Multifactor Productivity Measurements Model (MFPMM) as Effectual Performance Measures in Manufacturing. Australian Journal of Basic and Applied Sciences, 2, 987-996.
[16]  Grünberg, T. (2004) Performance Improvement: Towards a Method for Finding and Prioritising Potential Performance Improvement Areas in Manufacturing Operations. International Journal of Productivity and Performance Management, 55, 52-71.
[17]  Hoehn, W.K. (2003) Managing Organizational Performance: Linking the Balanced Scored to a Process Improvement Technique. In: Proceeding of the 4th Annual International Symposium in Industrial Engineering on the Performance-Based Man-agement, Kasetsart University, Bangkok, 1-12.
[18]  Andersson, T.D. (1996) Traditional Key Ratio Analysis versus Data Envelopment Analysis: A Comparison of Various Measurements of Productivity and Efficiency in Restaurants. In: Johns, N., Ed., Productivity Management in Hospitality and Tourism, Cassell, London, 209-226.
[19]  Fitzsimmons, J.A. and Fitzsimmons, M.J. (1997) Service Management for Competitive Advantage. 2nd Edition, McGraw-Hill, New York.
[20]  Witt, C.A. and Witt, S.F. (1989) Why Productivity in the Hotel Sector Is Low. International Journal of Contemporary Hospitality Management, 1, 28-33. https://doi.org/10.1108/EUM0000000001669
[21]  Sink, D. (1983) Much Do about Productivity: Where Do We Go from Here. Industrial Engineering, 15, 36-48.
[22]  Hannula, M. (2002) Total Productivity Measurement Based on Partial Productivity Ratios. International Journal of Production Economics, 78, 57-67. https://doi.org/10.1016/S0925-5273(00)00186-9
[23]  Kontoghiorghes, C. and Gudgel, R. (2004) Investigating the Association be-tween Productivity and Quality Performance in Two Manufacturing Settings. The Quality Management. Journal, 11, 8-20.
[24]  Lee, W., Beruvides, M.G. and Chiu, Y.D. (2007) A Study on the Quality-Productivity Relationship and Its Verification in Manufacturing Industries. The Quality Management Journal, 52, 117-139. https://doi.org/10.1080/00137910701328888
[25]  Pollitt, D. (2005) Money Controls Cashes in on Continuous Improvement. Training & Management Development Methods, 19, 207.
[26]  Slack, N. (1997) Encyclopaedic Dictionary of Operations Management. Blackwell, Oxford.
[27]  Roa, M.P. (2006) A Performance Measurement System using a Profit-Linked Multifactor Measurement Model. Industrial Management & Data Systems, 106, 362-379. https://doi.org/10.1108/02635570610653506
[28]  Selladurai, R. (2002) An Organizational Profitability, Productivity, Performance (PPP) Model: Going beyond TQM and BPR. Total Quality Management, 13, 613-619. https://doi.org/10.1080/0954412022000002027
[29]  Heap, J. (2007) Stormy Productivity Weather Ahead? International Journal Productivity and Performance Measurement, 56, 170-177.
[30]  Terzioviski, M. (2006) Quality Measurement Practises and Their Relationship with Customer Satisfaction and Productivity Improvement. Management Research News, 29, 414-424.
[31]  Roa, M.P. and Miller, D.M. (2004) Expert Systems Applications for Productivity Analysis. Industrial Management Data Systems, 104, 776-785.
[32]  Abdullateef, A. (2014) “Agriculture Category” Daily trust Newspaper. Published on Thursday, 31 July 2014, pp. 7-8.

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