According to Tourtoulo, Laurent, & Mace (2006, p. 20), human errors are the main cause of stock-outs incidents, due to workforces’ intervention in daily warehouse tasks, including forecasting and order picking. Therefore, the possibilities of stock-outs occurrence increases when inaccurate data is manually collected. In conformity, a study conducted by Kang & Gershwin (2004, p. 19) reached the same conclusion, as its findings recognized human errors a chief contributor to stock-outs and shrinkage events, through user involvement in product identification and manual counts.
Moreover, Kang & Gershwin (2004, p. 4) justified, false labelling can lead to stocks being stored in wrong aisles, which will consume time and create diffculty in finding them later. If the lost-stocks were not soon found, they will be considered stock-outs. Another possible reason can be ineffective delivery planning carried out by suppliers’ employees, as this can result in lacking inventory at the customer’s warehouse when needed (Tourtoulo, Laurent, & Mace, 2006, p. 21).
Consequently, the two articles by Tourtoulo, Laurent, & Mace (2006) and Kang & Gershwin (2004), found human errors the root of stock-outs incidents at warehouses. However, …show more content…
3) relied on site observation to obtain primary data, with the support of secondary data from interview and questionnaires, which aided in forming a hypothesis. Likewise, Mpwanya (2005), had also utilized primary quantitative data from questionnaires, face-to-face interviews and phone interviews to introduce a theory; nevertheless, phone interviews were time consuming and improper, due to the long list of the questions to be asked. On the contrary, Mandala & Gunasekaran (2002) did not justify the primary techniques used to support their statements in their case study; as it is was dependent on secondary resources