Stochastic optimization is an umbrella term that includes over a dozen fragmented
communities, using a patchwork of sometimes overlapping notational systems with …

When supply chain management (SCM) intersects with Big Data Analytics (BDA),
uncountable opportunities for research emerge. Unfortunately, how analytics can be applied …

We develop a typology for multi-echelon inventory management. The typology is used to
classify and review the extensive research of multi-echelon inventory management under …

The emergence of renewable energy microgrids (REM)-supported logistics parks reflects the
urgent social requirement for sustainability facing energy crisis and climate change …

Control over outsourced projects is a significant concern for both clients and vendors.
Although the effect of control on performance has been studied previously, vendor and client …

We develop a multi-level decision making approach for optimal condition-based
maintenance planning of a railway network divided into a large number of sections with …

The integration of inventory and transportation operations is a challenging task in multi-
echelon supply chain management. Uncertainties in customer demands can have serious …

This work presents a Mixed Integer Linear Programming (MILP) approach based on a
combination of a rolling horizon and stochastic programming formulation. The objective of …

We consider the problem of a storage owner who trades in a multisettlement electricity
market comprising an auction-based day-ahead market and a continuous intraday market …

The retailing industry witnessed a significant shift in the past years, which introduced
significant modifications in the standard procedures and regular practices of supply chains …