Predicting Total Shipping and Clearance Time for Al-Ghanim Sahara Transportation
DOI:
https://doi.org/10.1285/i20705948v11n2p405Keywords:
Lead Time, supply chain, Stepwise, regressionAbstract
Understanding factors that affect lead time can help supply chain management to get better understanding for the amount of time it takes to deliver products to the market. This investigation sought to determine factors that influenced lead time shipment at Al-Ghanim Sahra Transportation (AST). The delivery lead time data was collected from AST over four years (2013 – 2016). The information consists of customers’ orders starting from the actual time of shipments until clearance date over several stages of shipment. A multivariate fixed and random regression models were employed using stepwise variable selections to identify significant independent factors; including their interaction to lead time. Supp, Commodities, Departure Port and Shipping line along with their interaction were significant shipping-related contributors to lead time explaining 38.7% of the total variation in lead time.References
Ben-Daya, M. and Hariga, M. (2003a). Lead-time reduction in a stochastic inventory
system with learning consideration. International Journal of Production Research,
(3):571{579.
Ben-Daya, M. and Hariga, M. (2003b). Lead-time reduction in a stochastic inventory
system with learning consideration. International Journal of Production Research,
(3):571{579.
Freud, R. J. and Littell, R. C. (2000). SAS system for regression. Sas Institute.
Gudum, C. K. (2002). On the distribution of lead time delays in supply chains. Copen-
hagen Business School 2002.
Kader, S. and Akter, M. M. K. (2014). Analysis of the factors a_ecting the lead time
for export of readymade apparels from bangladesh; proposals for strategic reduction
of lead time. European Scienti_c Journal, ESJ, 10(33).
Mohamed, A.-A. M. and Coutry, N. (2015). Analysis of lead time delays in supply chain:
A case study. World Academy of Science, Engineering and Technology, International
Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engi-
neering, 9(6):2065{2070.
Oskrochi, G., Bani-Mustafa, A., and Oskrochi, Y. (2018). Factors a_ecting psycho-
logical well-being: Evidence from two nationally representative surveys. PloS one,
(6):e0198638.
Pan, J. C.-H. and Yang, J.-S. (2002). A study of an integrated inventory with controllable
lead time. International Journal of Production Research, 40(5):1263{1273.
Ries, E. (2011). The lean startup: How today's entrepreneurs use continuous innovation
to create radically successful businesses. Crown Books.
Shams, K., Asgari, H., and Jin, X. (2017). Valuation of travel time reliability in freight
transportation: A review and meta-analysis of stated preference studies. Transporta-
tion Research Part A: Policy and Practice, 102:228{243.
Talpey, S., Croucher, T., Bani Mustafa, A., and Finch, C. F. (2017). Sport-speci_c
factors predicting player retention in junior cricket. European journal of sport science,
(3):264{270.
TARTY, G. P. (2012). THE IMPACT OF LOGISTICS MANAGEMENT ON LEAD
TIME IN PUBLIC HEALTHCARE IN NAIROBI, KENYA. PhD thesis, School of
Business, University of Nairobi.
Wijaya, J. et al. (2013). The relationship between price, lead time, and delay toward the
order quantity in steel manufacturer. Universal Journal of Industrial and Business
Management, 1(1):1{7.
Downloads
Published
Issue
Section
License
Authors who publish with EJASA agree to the Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia License.
