Marc Lambrecht

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An important contributory factor to the bullwhip effect (i.e. the variance amplification of order quantities observed in supply chains) is the replenishment rule used by supply chain members. First the bullwhip effect induced by the use of different forecasting methods in order-up-to replenishment policies is analysed. Variance amplification is quantified(More)
This paper examines the beneficial impact of information sharing in multi-echelon supply chains. We compare a traditional supply chain, in which only the first stage in the chain observes end consumer demand and upstream stages have to base their forecasts on incoming orders, with an information enriched supply chain where customer demand data (e.g. EPOS(More)
1. Modern supply chains Supply chains are networks of firms who pool their capabilities and resources in order to deliver value to the end consumer. Firms are no longer able to own or control complete supply chains. Information technology and modern logistics capabilities have created a global market where companies can take advantage of the opportunity to(More)
2006. Taming the bullwhip effect whilst watching customer service in a single supply chain echelon. Publishers page: Please note: Changes made as a result of publishing processes such as copy-editing, formatting and page numbers may not be reflected in this version. For the definitive version of this publication, please refer to the published source. You(More)
We consider a two-echelon supply chain: a single retailer holds a finished goods inventory to meet an i.i.d. customer demand, and a single manufacturer produces the retailer’s replenishment orders on a make-to-order basis. In this setting the retailer’s order decision has a direct impact on the manufacturer’s production. It is a well known phenomenon that(More)
We present a model for assigning server time slots to different classes of patients. The objective is to minimize the total expected weighted waiting time of a patient (where different patient classes may be assigned different weights). A bulk service queueing model is used to obtain the expected waiting time of a patient of a particular class, given a(More)
It is important to understand the factors that influence the success of IT outsourcing, since IT outsourcing touches the core of organizations. The hypothesis in this article is that benefits management and strategic alignment influence the success of IT outsourcing. The research question is ‘do strategic alignment and benefits management contribute to the(More)