Predicting Total Shipping and Clearance Time for Al-Ghanim Sahara Transportation


Abstract


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.

DOI Code: 10.1285/i20705948v11n2p405

Keywords: Lead Time, supply chain, Stepwise, regression

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.


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