STARBEK, Marko ;GRUM, Janez ;KUŠAR, Janez .
Realistic Lead Times of Operations and Efficiency of the PPC System.
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 48, n.2, p. 98-111, july 2017.
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/realistic-lead-times-of-operations-and-efficiency-of-the-ppc-system/>. Date accessed: 23 jan. 2026.
doi:http://dx.doi.org/.
Starbek, M., Grum, J., & Kušar, J.
(2002).
Realistic Lead Times of Operations and Efficiency of the PPC System.
Strojniški vestnik - Journal of Mechanical Engineering, 48(2), 98-111.
doi:http://dx.doi.org/
@article{.,
author = {Marko Starbek and Janez Grum and Janez Kušar},
title = {Realistic Lead Times of Operations and Efficiency of the PPC System},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {48},
number = {2},
year = {2002},
keywords = {PPC-systems; lead times; funnel models; flow diagrams; },
abstract = {The practical efficiency of commercially available PPC (production planning and control) systems [1] and [2] depends to a great extent on the implementation of operations lead times determination which is based on estimated or calculated lead times of workplaces. This paper presents a method for calculating the average lead times of workplaces. The average lead times of workplaces, found in the interval P, gives a realistic picture of the order flow through workplaces, and these data are the basis for the implementation of the realistic operations lead times determination in the next (P+1) interval. With the proposed method for calculating lead times a transition from static to dynamic orders lead times determination is accomplished.},
issn = {0039-2480}, pages = {98-111}, doi = {},
url = {https://www.sv-jme.eu/article/realistic-lead-times-of-operations-and-efficiency-of-the-ppc-system/}
}
Starbek, M.,Grum, J.,Kušar, J.
2002 July 48. Realistic Lead Times of Operations and Efficiency of the PPC System. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 48:2
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%A Kušar, Janez
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%X The practical efficiency of commercially available PPC (production planning and control) systems [1] and [2] depends to a great extent on the implementation of operations lead times determination which is based on estimated or calculated lead times of workplaces. This paper presents a method for calculating the average lead times of workplaces. The average lead times of workplaces, found in the interval P, gives a realistic picture of the order flow through workplaces, and these data are the basis for the implementation of the realistic operations lead times determination in the next (P+1) interval. With the proposed method for calculating lead times a transition from static to dynamic orders lead times determination is accomplished.
%U https://www.sv-jme.eu/article/realistic-lead-times-of-operations-and-efficiency-of-the-ppc-system/
%0 Journal Article
%R
%& 98
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%J Strojniški vestnik - Journal of Mechanical Engineering
%V 48
%N 2
%@ 0039-2480
%8 2017-07-07
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Starbek, Marko, Janez Grum, & Janez Kušar.
"Realistic Lead Times of Operations and Efficiency of the PPC System." Strojniški vestnik - Journal of Mechanical Engineering [Online], 48.2 (2002): 98-111. Web. 23 Jan. 2026
TY - JOUR
AU - Starbek, Marko
AU - Grum, Janez
AU - Kušar, Janez
PY - 2002
TI - Realistic Lead Times of Operations and Efficiency of the PPC System
JF - Strojniški vestnik - Journal of Mechanical Engineering
DO -
KW - PPC-systems; lead times; funnel models; flow diagrams;
N2 - The practical efficiency of commercially available PPC (production planning and control) systems [1] and [2] depends to a great extent on the implementation of operations lead times determination which is based on estimated or calculated lead times of workplaces. This paper presents a method for calculating the average lead times of workplaces. The average lead times of workplaces, found in the interval P, gives a realistic picture of the order flow through workplaces, and these data are the basis for the implementation of the realistic operations lead times determination in the next (P+1) interval. With the proposed method for calculating lead times a transition from static to dynamic orders lead times determination is accomplished.
UR - https://www.sv-jme.eu/article/realistic-lead-times-of-operations-and-efficiency-of-the-ppc-system/
@article{{}{.},
author = {Starbek, M., Grum, J., Kušar, J.},
title = {Realistic Lead Times of Operations and Efficiency of the PPC System},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {48},
number = {2},
year = {2002},
doi = {},
url = {https://www.sv-jme.eu/article/realistic-lead-times-of-operations-and-efficiency-of-the-ppc-system/}
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TY - JOUR
AU - Starbek, Marko
AU - Grum, Janez
AU - Kušar, Janez
PY - 2017/07/07
TI - Realistic Lead Times of Operations and Efficiency of the PPC System
JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 48, No 2 (2002): Strojniški vestnik - Journal of Mechanical Engineering
DO -
KW - PPC-systems, lead times, funnel models, flow diagrams,
N2 - The practical efficiency of commercially available PPC (production planning and control) systems [1] and [2] depends to a great extent on the implementation of operations lead times determination which is based on estimated or calculated lead times of workplaces. This paper presents a method for calculating the average lead times of workplaces. The average lead times of workplaces, found in the interval P, gives a realistic picture of the order flow through workplaces, and these data are the basis for the implementation of the realistic operations lead times determination in the next (P+1) interval. With the proposed method for calculating lead times a transition from static to dynamic orders lead times determination is accomplished.
UR - https://www.sv-jme.eu/article/realistic-lead-times-of-operations-and-efficiency-of-the-ppc-system/
Starbek, Marko, Grum, Janez, AND Kušar, Janez.
"Realistic Lead Times of Operations and Efficiency of the PPC System" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 48 Number 2 (07 July 2017)
