Possibilities for the Development of Flexible Planning and Production Control

Borislav Gordic

doi:doi:10.11648/j.sjbm.20140205.15

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Possibilities for the Development of Flexible Planning and Production Control

Borislav Gordic

Published in Science Journal of Business and Management (Volume 2, Issue 5)

Received: 6 October 2014 Accepted: 28 October 2014 Published: 30 October 2014

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Abstract

Based on the results of the research carried out in one production system an attempt is made to give an answer regarding the possibilities for the development of adaptive operational planning and production control, especially in terms of dynamics and mode of operation and linking of procurement, sales and production processes. Through selected criteria and measures and with adequate design of experiments and a simple simulation model, the influence factors have been defined, and by applying the analysis of variance the relative strength of their effect on the successfulness of operational planning and production control has been determined. The results obtained are a template for definition and development of the process of operational planning and production control and for the optimization of that process with the aim of meeting the maximum needs of the market through the realization in production, and achieving the highest possible success of a business enterprise, as a model of descrete periodical dynamic optimization.

Published in	Science Journal of Business and Management (Volume 2, Issue 5)
DOI	10.11648/j.sjbm.20140205.15
Page(s)	143-152
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Successfulness of Operational Planning and Production Control, Influence Factors, Design of Experiments, Analysis of Variance, Flexible Planning and Control

References

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[2]	T.E.Vollman; W.L.Berry; D.C.Whybark, "Manufacturing Planning And Control System", 4. edition, McGrow-Hill, 1997.
[3]	T. C. Miller, "Hierarchical Operations And Supply Chain Planning", Springer, New York, 2002.
[4]	M. L. Pinedo, "Planning and Scheduling In Manufacturing and Services", Springer, New York, 2004.
[5]	S. T. Hackman, "Production Economics", Krieger Publishing Co., Melbourne, Florida/US, 2007.
[6]	M. Caramia; P. Dell' Olmo, "Effective Resource Management in Manufacturing Systems: Optimization Algorithms for Production Planning", Springer, New York, 2006.
[7]	S. Voss; D. L. Woodruff; "Introduction To Computational Optimization Models For Production Planning In A Supply Chain", Springer, New York, 2002.
[8]	P. Argonato & Coautors, "Production Planning In Production Networks: Models For Medium and Short-term Planning", Springer, New York, 2008.
[9]	L.C.Hendry; B.G.Kingsman, "Production Planning System and Their Applicability to Make-to-order Companies", European Journal of Operational Research, Vol.40, pages 1-15, 1989.
[10]	N.Štefanić; N.Gjeldim; T.Mikac, "Primjena Lean koncepta u proizvodnoj djelatnosti", Tehnički vjesnik, br.17 (3) stranice 353-356, 2010.
[11]	J. J. Kanet; Martin Stoesslein, "Integrating Production Planning And Control: Towards A Simple Model For Capacitated ERP", Production Planning & Control Journal, 3/2010, pages 286-300.
[12]	D. Aprile, A. C. Garavelli, I. Giannoccaro, "Operations Planning and Flexibility in a Supply Chain", Production Planning & Control Journal, 1/2005, pages 21-31.
[13]	J. N. D. Gupta, "An Excursion in Scheduling Theory: An Overwiew of Scheduling Research in the Twentieth Century", Production Planning & Control Journal, 2/2002, pages 105-116.
[14]	G. Xue, O. F. Offodile, H. Zhou, M. D. Troutt, " Integrated Production Planning with Sequence-dependent Family Setup Times", International Journal Of Production Economics, Vol.131/2011, pages 674-681.
[15]	J. Mula, R. Poler, J. P. García-Sabater, F.C. Lario, " Models for Production Planning under Uncertainty: A Review", International Journal Of Production Economics, Vol.103/2006, pages 271-285.
[16]	T. Volling; T. S. Spengler, "Modeling and Simulation of Order-driven Planning Policies in Build-to-order Automobile Production", International Journal Of Production Economics, Vol.131/2011, pages 183-193.
[17]	J. J. Kanet; M. Stoesslein, "Integrating Production Planning And Control: Towards A Simple Model For Capacitated ERP", Production Planning & Control Journal, 3/2010, pages 286-300.
[18]	B. Gordic, " A Contribution to the Determination of Criteria and Measures For Evaluating Operational Planning and Production Control", Technical Gazette, Vol. 18/2011, pages 109-115.

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APA Style

Borislav Gordic. (2014). Possibilities for the Development of Flexible Planning and Production Control. Science Journal of Business and Management, 2(5), 143-152. https://doi.org/10.11648/j.sjbm.20140205.15

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Borislav Gordic. Possibilities for the Development of Flexible Planning and Production Control. Sci. J. Bus. Manag. 2014, 2(5), 143-152. doi: 10.11648/j.sjbm.20140205.15

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AMA Style

Borislav Gordic. Possibilities for the Development of Flexible Planning and Production Control. Sci J Bus Manag. 2014;2(5):143-152. doi: 10.11648/j.sjbm.20140205.15

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@article{10.11648/j.sjbm.20140205.15,
  author = {Borislav Gordic},
  title = {Possibilities for the Development of Flexible Planning and Production Control},
  journal = {Science Journal of Business and Management},
  volume = {2},
  number = {5},
  pages = {143-152},
  doi = {10.11648/j.sjbm.20140205.15},
  url = {https://doi.org/10.11648/j.sjbm.20140205.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.20140205.15},
  abstract = {Based on the results of the research carried out in one production system an attempt is made to give an answer regarding the possibilities for the development of adaptive operational planning and production control, especially in terms of dynamics and mode of operation and linking of procurement, sales and production processes. Through selected criteria and measures and with adequate design of experiments and a simple simulation model, the influence factors have been defined, and by applying the analysis of variance the relative strength of their effect on the successfulness of operational planning and production control has been determined. The results obtained are a template for definition and development of the process of operational planning and production control and for the optimization of that process with the aim of meeting the maximum needs of the market through the realization in production, and achieving the highest possible success of a business enterprise, as a model of descrete periodical dynamic optimization.},
 year = {2014}
}

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TY  - JOUR
T1  - Possibilities for the Development of Flexible Planning and Production Control
AU  - Borislav Gordic
Y1  - 2014/10/30
PY  - 2014
N1  - https://doi.org/10.11648/j.sjbm.20140205.15
DO  - 10.11648/j.sjbm.20140205.15
T2  - Science Journal of Business and Management
JF  - Science Journal of Business and Management
JO  - Science Journal of Business and Management
SP  - 143
EP  - 152
PB  - Science Publishing Group
SN  - 2331-0634
UR  - https://doi.org/10.11648/j.sjbm.20140205.15
AB  - Based on the results of the research carried out in one production system an attempt is made to give an answer regarding the possibilities for the development of adaptive operational planning and production control, especially in terms of dynamics and mode of operation and linking of procurement, sales and production processes. Through selected criteria and measures and with adequate design of experiments and a simple simulation model, the influence factors have been defined, and by applying the analysis of variance the relative strength of their effect on the successfulness of operational planning and production control has been determined. The results obtained are a template for definition and development of the process of operational planning and production control and for the optimization of that process with the aim of meeting the maximum needs of the market through the realization in production, and achieving the highest possible success of a business enterprise, as a model of descrete periodical dynamic optimization.
VL  - 2
IS  - 5
ER  -

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Author Information

Borislav Gordic

MIRAKO Co., Draskoviceva 57, Zagreb, University NORTH - University Center Varazdin, Department of Logistic, Varazdin, Croatia

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APA Style

Borislav Gordic. (2014). Possibilities for the Development of Flexible Planning and Production Control. Science Journal of Business and Management, 2(5), 143-152. https://doi.org/10.11648/j.sjbm.20140205.15

Copy | Download

ACS Style

Borislav Gordic. Possibilities for the Development of Flexible Planning and Production Control. Sci. J. Bus. Manag. 2014, 2(5), 143-152. doi: 10.11648/j.sjbm.20140205.15

Copy | Download

AMA Style

Borislav Gordic. Possibilities for the Development of Flexible Planning and Production Control. Sci J Bus Manag. 2014;2(5):143-152. doi: 10.11648/j.sjbm.20140205.15

Copy | Download

@article{10.11648/j.sjbm.20140205.15,
  author = {Borislav Gordic},
  title = {Possibilities for the Development of Flexible Planning and Production Control},
  journal = {Science Journal of Business and Management},
  volume = {2},
  number = {5},
  pages = {143-152},
  doi = {10.11648/j.sjbm.20140205.15},
  url = {https://doi.org/10.11648/j.sjbm.20140205.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.20140205.15},
  abstract = {Based on the results of the research carried out in one production system an attempt is made to give an answer regarding the possibilities for the development of adaptive operational planning and production control, especially in terms of dynamics and mode of operation and linking of procurement, sales and production processes. Through selected criteria and measures and with adequate design of experiments and a simple simulation model, the influence factors have been defined, and by applying the analysis of variance the relative strength of their effect on the successfulness of operational planning and production control has been determined. The results obtained are a template for definition and development of the process of operational planning and production control and for the optimization of that process with the aim of meeting the maximum needs of the market through the realization in production, and achieving the highest possible success of a business enterprise, as a model of descrete periodical dynamic optimization.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Possibilities for the Development of Flexible Planning and Production Control
AU  - Borislav Gordic
Y1  - 2014/10/30
PY  - 2014
N1  - https://doi.org/10.11648/j.sjbm.20140205.15
DO  - 10.11648/j.sjbm.20140205.15
T2  - Science Journal of Business and Management
JF  - Science Journal of Business and Management
JO  - Science Journal of Business and Management
SP  - 143
EP  - 152
PB  - Science Publishing Group
SN  - 2331-0634
UR  - https://doi.org/10.11648/j.sjbm.20140205.15
AB  - Based on the results of the research carried out in one production system an attempt is made to give an answer regarding the possibilities for the development of adaptive operational planning and production control, especially in terms of dynamics and mode of operation and linking of procurement, sales and production processes. Through selected criteria and measures and with adequate design of experiments and a simple simulation model, the influence factors have been defined, and by applying the analysis of variance the relative strength of their effect on the successfulness of operational planning and production control has been determined. The results obtained are a template for definition and development of the process of operational planning and production control and for the optimization of that process with the aim of meeting the maximum needs of the market through the realization in production, and achieving the highest possible success of a business enterprise, as a model of descrete periodical dynamic optimization.
VL  - 2
IS  - 5
ER  -

Copy | Download