Erkut Sönmez

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Energy plays a fundamental role in both manufacturing and services, and natural gas is rapidly becoming a key energy source worldwide. Facilitating this emergence is an expanding network of ocean-going vessels that enable the matching of natural gas supply and demand on a global scale. This is achieved through the transportation of liquefied natural gas(More)
Fork/join stations are used for modeling synchronization between entities, and fork/join queueing networks are natural models for a variety of communication and manufacturing systems: Parallel computer networks, fabrication/assembly systems, supply chains and material control strategies for manufacturing systems. Exact solutions of general fork/join(More)
Developing a cost-effective annual delivery program (ADP) is a challenging task for liquefied natural gas (LNG) suppliers, especially for LNG supply chains with large number of vessels and customers. Given significant operational costs in LNG delivery operations, cost-effective ADPs can yield substantial savings, adding up to millions. Providing an(More)
Energy plays a fundamental role in both manufacturing and services, and natural gas is quickly becoming a key energy source worldwide. Facilitating this emergence is the expanding network of ocean-going vessels that enable the matching of natural gas supply and demand on a global scale by transporting it in the form of liquefied natural gas (LNG) for(More)
A fundamental issue in the management of technology innovation, both in manufacturing and service industries, is the comparative evaluation of emerging and incumbent technologies. This evaluation entails the juxtaposition of multiple aspects including process configuration and operational and financial performance. In this paper we present an integrated(More)
Queueing networks featuring fork/join stations are natural models for a variety of computer and manufacturing systems, including parallel computer networks, fabrication/assembly systems, supply chains and material control strategies. Unfortunately, an exact solution for a Markovian fork/join network can only be obtained by analyzing the underlying Markov(More)
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