| Reference : Control charts in a delivery chain framework |
| E-prints/Working papers : First made available on ORBi | |||
| Business & economic sciences : Quantitative methods in economics & management | |||
| http://hdl.handle.net/2268/90720 | |||
| Control charts in a delivery chain framework | |
| English | |
Faraz, Alireza [Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > Statistique appliquée à la gestion et à l'économie >] | |
| Foster, Earnest [University of Pennsylvania - Penn > Business Administration Department > > >] | |
Heuchenne, Cédric [Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > Statistique appliquée à la gestion et à l'économie >] | |
Saniga, Erwin [University of Delaware > Business Administration Department > > >] | |
| Undated | |
| [en] Average run length, Delivery chain, Statistical process control | |
| [en] We call attention to delivery chain systems as an area for statistical process control
research and propose using elapsed time variables as delivery-quality measures. We propose a Shewhart-style control charting strategy that we term ‘bundling’ which describes creating and averaging related time variables to allow for a reduction in the number of charts needed for monitoring delivery chain systems. The major assumption is that several related delivery chain system time-variables (DCSTV) representing origin to destination pairs that deliver products to a common geographical region would shift together when being monitored for delay. In the context of strategic monitoring of aggregate systems, bundled charts can effectively signal when origin-destination pairs shift in a particular direction. Given that some of the DCSTV can be ‘bundled’ for representation on Shewhart charts, decision makers can be provided an accurate assessment of the predictability (or unpredictability) of a delivery chain. Providing more accurate promises of delivery time through the use of Shewhart-style charts will ultimately reduce levels of safety stock which results in a reduction in inventory holding costs. | |
| http://hdl.handle.net/2268/90720 |
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