Monitoring delivery chains using multivariate control chartsFaraz, Alireza ; Heuchenne, Cédric ; et alin European Journal of Operational Research (2013) Delivery chains are concerned with the delivery of goods and services to customers within a specific time interval; this time constraint is added to the usual consumer demand for product or service ... [more ▼] Delivery chains are concerned with the delivery of goods and services to customers within a specific time interval; this time constraint is added to the usual consumer demand for product or service quality. In this context, we address the idea of using process control tools to monitor this key variable of delivery time. In applications, there are usually several production and delivery sites and a variety of different ways to transport, treat and provide goods and services; that makes the problem multivariate in nature. We therefore propose to control the process using multivariate T2 control charts economically designed with the addition of statistical constraints, a design method called economic-statistical design. We illustrate the application in general through an illustrative example. [less ▲] Detailed reference viewed: 38 (4 ULg) Monitoring delivery chains in a supply chain using multivariate control chartsFaraz, Alireza ; Heuchenne, Cédric ; et alE-print/Working paper (n.d.) The theory of the delivery chain considers the delivery of goods and services to customers within a specific time interval. Nowadays, organizations are focusing to satisfy their customers’ demands not ... [more ▼] The theory of the delivery chain considers the delivery of goods and services to customers within a specific time interval. Nowadays, organizations are focusing to satisfy their customers’ demands not only to meet the expectations for products quality but also in delivery times through managing delivery chains. Obviously it is desirable that a company has minimum delivery time of goods and services to its customers. Therefore, establishing economic and reliable control charts for monitoring the key characteristics of delivery chain is of great importance especially for managers to improve the whole delivery chains performance. On the other hand, as we shall see in the present paper, the performance of a delivery chain is multivariate in nature because customers do not evaluate a delivery performance with a univariate mindset and also there are usually several production and delivery sites, and variety of different methods of transportation of goods and services. In this paper, we propose a relatively new application of the economic statistical design of the multivariate T2 control chart to monitor the delivery chain performance and it is illustrated through a case study in the TNT express mail in Iran. [less ▲] Detailed reference viewed: 20 (0 ULg) Control charts in a delivery chain frameworkFaraz, Alireza ; ; Heuchenne, Cédric et alE-print/Working paper (n.d.) 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 ... [more ▼] 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. [less ▲] Detailed reference viewed: 15 (0 ULg) |
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