Global-health buyers are increasingly using purchase volume guarantees (VGs) to lower prices for medicines, and increase access for low-income countries. One main driver for substantial price reductions associated with VGs are economies of scale (EoS). However VGs involve a trade-off across...

Recently researchers have integrated aspects of supply risk management into decision models for determining the optimal design of supply networks. A purchasing manager faces a fundamental trade-off when designing the supply network and deciding upon the allocation of purchasing volumes across a...

Motivated by the work with a leading maintenance service provider in the aviationindustry, this paper examines novel data-driven approaches to solving a certaintype of capacity-sizing problem—the multi-shift staffing problem—with uncertain,time varying arrival rates and patient "customers"...

Supplier selection is becoming more and more critical for purchasing managers. The ongoing integration of supply chains increases dependencies within the supply chain and therefore requires a thorough decision on the right number and set of suppliers. In choosing the optimal number of suppliers...

We analyze the performance drivers for data-driven inventory management in a Newsvendor setting with nonstationary demand. For this, we study two novel approaches which are based on machine learning techniques (linear quantile regression and tree-based regression, respectively) and which use...

Motivated by the real-world problem of a logistics company, this paper proposes a novel distribution-free prescriptive analytics approach – termed kernelized ERM – to solve a complex two-stage capacity planning problem with multivariate demand and vector-valued capacity decisions and...