Key challenge for mastering high uncertainty of both demand and supply is to attune products and business processes in the entire supply chain continuously to customer requirements. Product configurators have proven to be powerful tools for managing demand uncertainty. This paper assesses how configurators can be used for combined product and process configuration in order to support mastering ...

In this paper, a bi-objective pharmaceutical supply chain network under uncertainty demand and transportation costs is modeled and developed. To control the uncertainty parameters, the robust optimization method is considering. The main objective of this paper determines the number and location of potential facilities such as drug manufacture centers and drug distribution centers by considering...

Demand planners in supply chain organizations are accustomed to using the Mean Absolute Percentage Error (MAPE) as their best answer to measuring forecast accuracy. It is so ubiquitous that it is hardly questioned. I do not even find a consensus on the definition of the underlying forecast error among supply chain practitioners participating in the demand forecasting workshops I conduct worldwide.

This paper presents a multi-periodic, multi-echelon blood supply chain network consisting of blood donors, mobile collection units, local blood centers, main blood centers and demand points in which the local and main blood centers are subject to random failure in dispatching blood products to demand points. The problem has two objectives including minimization of the total chain costs and maxi...

We study the stability of a Markovian model of electricity production and consumption that incorporates production volatility due to renewables and uncertainty about actual demand versus planned production. We assume that the energy producer targets a fixed energy reserve, subject to ramp-up and ramp-down constraints, and that appliances are subject to demand-response signals and adjust their c...

Real-world manufacturing supply chain systems are characterised by imprecise and dynamic factors. As a result, decision-making takes place in a complex, dynamic and fuzzy environment in which managerial goals and the impacts of possible actions are not precisely known. In a demand driven manufacturing supply chain system, the presence of a fuzzy demand is a serious cause for concern. The presen...