BERLEC, Tomaž ;GOVEKAR, Edvard ;GRUM, Janez ;POTOČNIK, Primož ;STARBEK, Marko . Predicting order lead times. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 54, n.5, p. 308-321, august 2017. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/article/predicting-order-lead-times/>. Date accessed: 20 dec. 2024. doi:http://dx.doi.org/.
Berlec, T., Govekar, E., Grum, J., Potočnik, P., & Starbek, M. (2008). Predicting order lead times. Strojniški vestnik - Journal of Mechanical Engineering, 54(5), 308-321. doi:http://dx.doi.org/
@article{.,
author = {Tomaž Berlec and Edvard Govekar and Janez Grum and Primož Potočnik and Marko Starbek},
title = {Predicting order lead times},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {54},
number = {5},
year = {2008},
keywords = {lead times; prediction; operation order; empirical distribution; },
abstract = {Entering on market, companies confront with different problems. But the largest problems of today's time are too long lead times of orders. A client that wants a particular product to be made will select the best bidder considering on delivery time. To make a bid just on the basis of experience of employees is very risky nowadays. Therefore we propose a procedure by which - on the basis of actual lead times of orders processed in the company's workplaces in the past - expected lead times of planned (and indirectly - production) orders can be predicted. The result of the proposed procedure is an empirical distribution of possible lead times for the new order, and on the basis of this distribution it is possible to predict the most probable leadtime of a new order. Using the proposed procedure, the sales department can make a prediction for the customer about delivery time of the planned order. As an illustration of the procedure for predicting lead times of orders, a case study is presented: lead time of order for the "tool for manufacturing the filter housing" was predicted; the tool is manufactured in the Slovenian company ETI Ltd.},
issn = {0039-2480}, pages = {308-321}, doi = {},
url = {https://www.sv-jme.eu/article/predicting-order-lead-times/}
}
Berlec, T.,Govekar, E.,Grum, J.,Potočnik, P.,Starbek, M. 2008 August 54. Predicting order lead times. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 54:5
%A Berlec, Tomaž %A Govekar, Edvard %A Grum, Janez %A Potočnik, Primož %A Starbek, Marko %D 2008 %T Predicting order lead times %B 2008 %9 lead times; prediction; operation order; empirical distribution; %! Predicting order lead times %K lead times; prediction; operation order; empirical distribution; %X Entering on market, companies confront with different problems. But the largest problems of today's time are too long lead times of orders. A client that wants a particular product to be made will select the best bidder considering on delivery time. To make a bid just on the basis of experience of employees is very risky nowadays. Therefore we propose a procedure by which - on the basis of actual lead times of orders processed in the company's workplaces in the past - expected lead times of planned (and indirectly - production) orders can be predicted. The result of the proposed procedure is an empirical distribution of possible lead times for the new order, and on the basis of this distribution it is possible to predict the most probable leadtime of a new order. Using the proposed procedure, the sales department can make a prediction for the customer about delivery time of the planned order. As an illustration of the procedure for predicting lead times of orders, a case study is presented: lead time of order for the "tool for manufacturing the filter housing" was predicted; the tool is manufactured in the Slovenian company ETI Ltd. %U https://www.sv-jme.eu/article/predicting-order-lead-times/ %0 Journal Article %R %& 308 %P 14 %J Strojniški vestnik - Journal of Mechanical Engineering %V 54 %N 5 %@ 0039-2480 %8 2017-08-21 %7 2017-08-21
Berlec, Tomaž, Edvard Govekar, Janez Grum, Primož Potočnik, & Marko Starbek. "Predicting order lead times." Strojniški vestnik - Journal of Mechanical Engineering [Online], 54.5 (2008): 308-321. Web. 20 Dec. 2024
TY - JOUR AU - Berlec, Tomaž AU - Govekar, Edvard AU - Grum, Janez AU - Potočnik, Primož AU - Starbek, Marko PY - 2008 TI - Predicting order lead times JF - Strojniški vestnik - Journal of Mechanical Engineering DO - KW - lead times; prediction; operation order; empirical distribution; N2 - Entering on market, companies confront with different problems. But the largest problems of today's time are too long lead times of orders. A client that wants a particular product to be made will select the best bidder considering on delivery time. To make a bid just on the basis of experience of employees is very risky nowadays. Therefore we propose a procedure by which - on the basis of actual lead times of orders processed in the company's workplaces in the past - expected lead times of planned (and indirectly - production) orders can be predicted. The result of the proposed procedure is an empirical distribution of possible lead times for the new order, and on the basis of this distribution it is possible to predict the most probable leadtime of a new order. Using the proposed procedure, the sales department can make a prediction for the customer about delivery time of the planned order. As an illustration of the procedure for predicting lead times of orders, a case study is presented: lead time of order for the "tool for manufacturing the filter housing" was predicted; the tool is manufactured in the Slovenian company ETI Ltd. UR - https://www.sv-jme.eu/article/predicting-order-lead-times/
@article{{}{.},
author = {Berlec, T., Govekar, E., Grum, J., Potočnik, P., Starbek, M.},
title = {Predicting order lead times},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {54},
number = {5},
year = {2008},
doi = {},
url = {https://www.sv-jme.eu/article/predicting-order-lead-times/}
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TY - JOUR AU - Berlec, Tomaž AU - Govekar, Edvard AU - Grum, Janez AU - Potočnik, Primož AU - Starbek, Marko PY - 2017/08/21 TI - Predicting order lead times JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 54, No 5 (2008): Strojniški vestnik - Journal of Mechanical Engineering DO - KW - lead times, prediction, operation order, empirical distribution, N2 - Entering on market, companies confront with different problems. But the largest problems of today's time are too long lead times of orders. A client that wants a particular product to be made will select the best bidder considering on delivery time. To make a bid just on the basis of experience of employees is very risky nowadays. Therefore we propose a procedure by which - on the basis of actual lead times of orders processed in the company's workplaces in the past - expected lead times of planned (and indirectly - production) orders can be predicted. The result of the proposed procedure is an empirical distribution of possible lead times for the new order, and on the basis of this distribution it is possible to predict the most probable leadtime of a new order. Using the proposed procedure, the sales department can make a prediction for the customer about delivery time of the planned order. As an illustration of the procedure for predicting lead times of orders, a case study is presented: lead time of order for the "tool for manufacturing the filter housing" was predicted; the tool is manufactured in the Slovenian company ETI Ltd. UR - https://www.sv-jme.eu/article/predicting-order-lead-times/
Berlec, Tomaž, Govekar, Edvard, Grum, Janez, Potočnik, Primož, AND Starbek, Marko. "Predicting order lead times" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 54 Number 5 (21 August 2017)
Strojniški vestnik - Journal of Mechanical Engineering 54(2008)5, 308-321
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
Entering on market, companies confront with different problems. But the largest problems of today's time are too long lead times of orders. A client that wants a particular product to be made will select the best bidder considering on delivery time. To make a bid just on the basis of experience of employees is very risky nowadays. Therefore we propose a procedure by which - on the basis of actual lead times of orders processed in the company's workplaces in the past - expected lead times of planned (and indirectly - production) orders can be predicted. The result of the proposed procedure is an empirical distribution of possible lead times for the new order, and on the basis of this distribution it is possible to predict the most probable leadtime of a new order. Using the proposed procedure, the sales department can make a prediction for the customer about delivery time of the planned order. As an illustration of the procedure for predicting lead times of orders, a case study is presented: lead time of order for the "tool for manufacturing the filter housing" was predicted; the tool is manufactured in the Slovenian company ETI Ltd.