Research Article
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Year 2019, Volume: 5 Issue: 2, 38 - 49, 30.06.2019

Abstract

References

  • C. S. Chen, S. Mestry, P. Damodaran and C. Wang, “The capacity planning problem in make-to-order enterprises”. Mathematical and Computer Modelling. Vol. 50, No. 9, pp. 1461-1473, July 2009.
  • S. C Graves, Manufacturing planning and control. Massachusetts institute of technology. Oxford University Press, New York, 2002 pp. 728-746, Ch 2, Section 18.5.
  • T. A. Kletz, and P. Amyotte, Process plants. A handbook for inherently safer design, 2nd ed., CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742, 2010, pp. 241-250.
  • R. Smith, Chemical Process: Design and Integration. John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England. 2005, pp. 17-57
  • M. P. Groover. Automation, production systems, and computer-integrated manufacturing. 4th ed. Prentice Hall Press, Pearson Higher Education, Inc., Upper Saddle River, NJ 07458, 2015, pp. 36-74.
  • S. P. Ayodeji, O. M Olabanji and M. K. Adeyeri, “Design of a Process Plant for the Production of Poundo yam”, International Journal of Engineering, Vol. 6, No. 2, pp. 10-24, February 2012.
  • S. Raundal, R. Badgujar, R. More and M. Nagare, “Capacity Planning Model for Manufacturing Organizations using AHP”, International Journal of Engineering Research and Technology. IJERT. Vol. 5, No. 7, pp. 137-140, 2016.
  • J. L. A. Koolen, Simple and Robust Plant Design. Design of Simple and Robust Process Plants. Singapoer, Toronto: Wiley VCH Verlag GmbH & Co. KGaA Germany 2002. pp. 23-34.
  • S. Rajagopalan and J. M. Swaminathan, “A Coordinated Production Planning Model with Capacity Expansion and Inventory Management”, Management Science INFORMS, Vol. 47, No. 11, pp. 1562–1580. November 2001.
  • O. E. Maimon, E. Khmelnitsky, and K. Kogan, Optimal flow control in manufacturing systems: Production Planning and Scheduling. Vol. 18: Springer Science & Business Media 2013. pp. 59-77
  • D. K. Harrison and D. J. Petty. Systems for planning and control in manufacturing. Newnes, An imprint of Elsevier Science Linacre House, Jordan Hill, Oxford OX2 8DP 225 Wildwood Avenue, Woburn MA 01801-2041 Butterworth-Heinemann, 2002, pp. 5-47.
  • C. I Hsu and H. C Li, “Reliability evaluation and adjustment of supply chain network design with demand fluctuations”, International Journal of Production Economics. Vol. 132, No. 1, pp. 131-145, 2011.
  • J. R. Bradley and P. W. Glynn, “Managing Capacity and Inventory Jointly in Manufacturing Systems”, Management Science INFORMS Vol. 48, No. 2, pp. 273–288, February 2002.
  • C. I Hsu and H. C Li, “An integrated plant capacity and production planning model for high-tech manufacturing firms with economies of scale”, International Journal of Production Economics. Vol. 118, No. 2, pp. 486-500, 2009.
  • A. Russell, P. E. Ogle, R. Andrew and P. E. Carpenter, “Calculating the Capacity of Chemical Plants”, American Institute of Chemical Engineers (AIChE), CEP Vol. 14, No.8, pp. 59-63, August 2014.
  • A. Dasci and V. Verter, “Evaluation of Plant focus strategies: A continuous approximation framework”, Annals of Operations Research, Vol. 136, No. 1 pp. 303-327, April 2005.
  • M. Barut and V. Sridharan, “Design and evaluation of a dynamic capacity apportionment procedure”, European Journal of Operational Research. Vol. 155, No. 1, pp. 112- 133, January 2004
  • M. Kolhe, “Techno-Economic Optimum Sizing of a Stand-Alone solar Photovoltaic System”, IEEE Transactions on Energy Conversion Vol. 24, No. 2, pp. 511-518, June 2009.
  • J. M. Marvel Schaub, and G. Weckman, “Assessing the availability and allocation of production capacity in a fabrication facility through simulation modeling: a case study”, International Journal of Industrial Engineering: Theory, Applications and Practice. Vol. 15, No. 2, pp. 166-175, 2008.
  • O. M. Olabanji, Design of a Process Plant for the Prodution of Poundo Yam: A Thesis Submitted for the Award of Master of Engineering in Mechanical Engineering Department. Federal University of Technology Akure Ondo State Nigeria, 2012. pp. 163-167.
  • M. O. Oke, S. Awonorin, O. Oyelade, J. Olajide, G. Olaniyan, and P. Sobukola, “Some thermo-physical properties of yam cuts of two geometries”, African Journal of Biotechnology. Vol. 8, No. 7, pp. 1300-1304, 2009.
  • F. A Tetchi, A. Rolland‐Sabaté, G. N. G Amani, and P. Colonna, “Molecular and physicochemical characterization of starches from yam, cocoyam, cassava, sweet potato and ginger produced in the Ivory Coast”, Journal of the Science of Food and Agriculture. Vol. 87, No. 10, pp. 1906-1916, 2007.
  • O. O. Paul, K. Claire and D. Jacques, “Effects of planting methods and tuber weights on growth and yield of yam cultivars (Dioscorea rotundata Poir.) in Gabon”, International Research Journal of Agricultural Science and Soil Science. Vol. 6, No. 3, pp. 032-042, 2016
  • S. N. Moorthy, “Physicochemical and functional properties of tropical tuber starches: a review”, Starch‐Stärke. Vol. 54, No. 12, pp. 559-592. December, 2002.

A Framework for Production Capacity and Time Utilization of Mono Product Sequential Process Plants

Year 2019, Volume: 5 Issue: 2, 38 - 49, 30.06.2019

Abstract

This article addresses the challenges of estimating production capacity
and time utilization problem in a sequential process plant. A framework and
mathematical model are presented to aid the analysis and understanding of the
proposed solution. A set of constraints is provided in order to specify the
requirements for production capacity and time utilization planning in a
sequential process plant. In order to ascertain the performance of the
framework, the mathematical models derived are tested using an existing
designed process plant and the results obtained from the evaluation are also presented.
The proposed model generates the utilized time for the process plant per batch
and also the production capacity of the process plant as well as the production
rates of individual machines in the process plant. Application of the model to
an existing process plant demonstrates that the addition of buffer storage to store
work in progress materials in a mono product sequential process plant will
increase the production rate of the plant but the production rate of the
machines in the plant remains constant. Also, the addition of buffer storage
will increase the time utilized by the process plant to complete its operation
per batch.
cess plant and the results obtained
from the evaluation are also presented. The proposed model generates the
utilized time for the process plant per batch and also the production capacity
of the process plant as well as the production rates of individual machines in
the process plant. The application of this model to an existing process plant
demonstrates that the introduction of buffer for work in progress in a mono
product sequential process plant will increase the production rate of the plant
as a whole but the production rate of the machines in the plant remains
constant. Also, the addition of buffer storage will increase the time utilized
by the process plant per batch.

References

  • C. S. Chen, S. Mestry, P. Damodaran and C. Wang, “The capacity planning problem in make-to-order enterprises”. Mathematical and Computer Modelling. Vol. 50, No. 9, pp. 1461-1473, July 2009.
  • S. C Graves, Manufacturing planning and control. Massachusetts institute of technology. Oxford University Press, New York, 2002 pp. 728-746, Ch 2, Section 18.5.
  • T. A. Kletz, and P. Amyotte, Process plants. A handbook for inherently safer design, 2nd ed., CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742, 2010, pp. 241-250.
  • R. Smith, Chemical Process: Design and Integration. John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England. 2005, pp. 17-57
  • M. P. Groover. Automation, production systems, and computer-integrated manufacturing. 4th ed. Prentice Hall Press, Pearson Higher Education, Inc., Upper Saddle River, NJ 07458, 2015, pp. 36-74.
  • S. P. Ayodeji, O. M Olabanji and M. K. Adeyeri, “Design of a Process Plant for the Production of Poundo yam”, International Journal of Engineering, Vol. 6, No. 2, pp. 10-24, February 2012.
  • S. Raundal, R. Badgujar, R. More and M. Nagare, “Capacity Planning Model for Manufacturing Organizations using AHP”, International Journal of Engineering Research and Technology. IJERT. Vol. 5, No. 7, pp. 137-140, 2016.
  • J. L. A. Koolen, Simple and Robust Plant Design. Design of Simple and Robust Process Plants. Singapoer, Toronto: Wiley VCH Verlag GmbH & Co. KGaA Germany 2002. pp. 23-34.
  • S. Rajagopalan and J. M. Swaminathan, “A Coordinated Production Planning Model with Capacity Expansion and Inventory Management”, Management Science INFORMS, Vol. 47, No. 11, pp. 1562–1580. November 2001.
  • O. E. Maimon, E. Khmelnitsky, and K. Kogan, Optimal flow control in manufacturing systems: Production Planning and Scheduling. Vol. 18: Springer Science & Business Media 2013. pp. 59-77
  • D. K. Harrison and D. J. Petty. Systems for planning and control in manufacturing. Newnes, An imprint of Elsevier Science Linacre House, Jordan Hill, Oxford OX2 8DP 225 Wildwood Avenue, Woburn MA 01801-2041 Butterworth-Heinemann, 2002, pp. 5-47.
  • C. I Hsu and H. C Li, “Reliability evaluation and adjustment of supply chain network design with demand fluctuations”, International Journal of Production Economics. Vol. 132, No. 1, pp. 131-145, 2011.
  • J. R. Bradley and P. W. Glynn, “Managing Capacity and Inventory Jointly in Manufacturing Systems”, Management Science INFORMS Vol. 48, No. 2, pp. 273–288, February 2002.
  • C. I Hsu and H. C Li, “An integrated plant capacity and production planning model for high-tech manufacturing firms with economies of scale”, International Journal of Production Economics. Vol. 118, No. 2, pp. 486-500, 2009.
  • A. Russell, P. E. Ogle, R. Andrew and P. E. Carpenter, “Calculating the Capacity of Chemical Plants”, American Institute of Chemical Engineers (AIChE), CEP Vol. 14, No.8, pp. 59-63, August 2014.
  • A. Dasci and V. Verter, “Evaluation of Plant focus strategies: A continuous approximation framework”, Annals of Operations Research, Vol. 136, No. 1 pp. 303-327, April 2005.
  • M. Barut and V. Sridharan, “Design and evaluation of a dynamic capacity apportionment procedure”, European Journal of Operational Research. Vol. 155, No. 1, pp. 112- 133, January 2004
  • M. Kolhe, “Techno-Economic Optimum Sizing of a Stand-Alone solar Photovoltaic System”, IEEE Transactions on Energy Conversion Vol. 24, No. 2, pp. 511-518, June 2009.
  • J. M. Marvel Schaub, and G. Weckman, “Assessing the availability and allocation of production capacity in a fabrication facility through simulation modeling: a case study”, International Journal of Industrial Engineering: Theory, Applications and Practice. Vol. 15, No. 2, pp. 166-175, 2008.
  • O. M. Olabanji, Design of a Process Plant for the Prodution of Poundo Yam: A Thesis Submitted for the Award of Master of Engineering in Mechanical Engineering Department. Federal University of Technology Akure Ondo State Nigeria, 2012. pp. 163-167.
  • M. O. Oke, S. Awonorin, O. Oyelade, J. Olajide, G. Olaniyan, and P. Sobukola, “Some thermo-physical properties of yam cuts of two geometries”, African Journal of Biotechnology. Vol. 8, No. 7, pp. 1300-1304, 2009.
  • F. A Tetchi, A. Rolland‐Sabaté, G. N. G Amani, and P. Colonna, “Molecular and physicochemical characterization of starches from yam, cocoyam, cassava, sweet potato and ginger produced in the Ivory Coast”, Journal of the Science of Food and Agriculture. Vol. 87, No. 10, pp. 1906-1916, 2007.
  • O. O. Paul, K. Claire and D. Jacques, “Effects of planting methods and tuber weights on growth and yield of yam cultivars (Dioscorea rotundata Poir.) in Gabon”, International Research Journal of Agricultural Science and Soil Science. Vol. 6, No. 3, pp. 032-042, 2016
  • S. N. Moorthy, “Physicochemical and functional properties of tropical tuber starches: a review”, Starch‐Stärke. Vol. 54, No. 12, pp. 559-592. December, 2002.
There are 24 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Makaleler
Authors

Olayinka Mohammed Olabanji 0000-0001-9347-4595

Publication Date June 30, 2019
Acceptance Date May 14, 2019
Published in Issue Year 2019 Volume: 5 Issue: 2

Cite

APA Olabanji, O. M. (2019). A Framework for Production Capacity and Time Utilization of Mono Product Sequential Process Plants. International Journal of Engineering Technologies IJET, 5(2), 38-49.
AMA Olabanji OM. A Framework for Production Capacity and Time Utilization of Mono Product Sequential Process Plants. IJET. June 2019;5(2):38-49.
Chicago Olabanji, Olayinka Mohammed. “A Framework for Production Capacity and Time Utilization of Mono Product Sequential Process Plants”. International Journal of Engineering Technologies IJET 5, no. 2 (June 2019): 38-49.
EndNote Olabanji OM (June 1, 2019) A Framework for Production Capacity and Time Utilization of Mono Product Sequential Process Plants. International Journal of Engineering Technologies IJET 5 2 38–49.
IEEE O. M. Olabanji, “A Framework for Production Capacity and Time Utilization of Mono Product Sequential Process Plants”, IJET, vol. 5, no. 2, pp. 38–49, 2019.
ISNAD Olabanji, Olayinka Mohammed. “A Framework for Production Capacity and Time Utilization of Mono Product Sequential Process Plants”. International Journal of Engineering Technologies IJET 5/2 (June 2019), 38-49.
JAMA Olabanji OM. A Framework for Production Capacity and Time Utilization of Mono Product Sequential Process Plants. IJET. 2019;5:38–49.
MLA Olabanji, Olayinka Mohammed. “A Framework for Production Capacity and Time Utilization of Mono Product Sequential Process Plants”. International Journal of Engineering Technologies IJET, vol. 5, no. 2, 2019, pp. 38-49.
Vancouver Olabanji OM. A Framework for Production Capacity and Time Utilization of Mono Product Sequential Process Plants. IJET. 2019;5(2):38-49.

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