Liquefied Natural Gas (LNG) is steadily becoming a common mode for commercializing natural gas. Due to the capital intensive nature of LNG projects, the optimal design of LNG supply chains is extremely important from a profitability perspective. Motivated by the need for a model that can assist in the design analysis of LNG supply chains, we address an LNG inventory routing problem where optimi...

This thesis describes a stochastic ship routing problem with inventory management. The problem involves finding a set of least costs routes for a fleet of ships transporting a single commodity when the demand for the commodity is uncertain. Storage at consumption and supply ports is limited and inventory levels are monitored in the model. Consumer demands are at a constant rate within each time...

A great loss of transportation capacity has been caused in auto parts supply logistics due to the independent from suppliers (APSs) automobile production line (APL). It is believed that establishing distribution centers (DCs) for centralized collection and unified one effective way address this problem. This paper proposes a framework simultaneously considering location-inventory-routing proble...

We consider the problem of collecting waste from sensor equipped underground containers. These sensors enable the use of a dynamic collection policy. The problem, which is known as a reverse inventory routing problem, involves decisions regarding routing and container selection. In more dense networks, the latter becomes more important. To cope with uncertainty in deposit volumes and with fluct...

Liquefied Natural Gas (LNG) is steadily becoming a common mode for commercializing natural gas. In this paper, we develop methods for improving both lower and upper bounds for a previously stated form of an LNG inventory routing problem. A Dantzig-Wolfe-based decomposition approach is developed for LNG inventory routing problem (LNG-IRP) attempting to overcome poor lower bounds. However, it fai...

The efficient design/redesign of the logistics network is essential for companies to maintain their competitive advantage. This paper presents a novel non-linear mixedinteger programming model for the multi-product capacitated location routing inventory problem (MPCLRIP), where a two-layer distribution system consisting of depots and customers was studied. The supply decisions such as location ...

In many contexts, logistics is used to enable competitive advantages and cost savings. For some companies, logistics itself is its core competency (i.e. logistics providers). In this context, vendor-managed inventory (VMI) systems are one of the most up-to-date strategies allowing companies to reach a superior performance. Under a VMI strategy, the replenishment and distribution making process ...

We solve a rich logistical problem inspired from practice, in which a heterogeneous xed eet of vehicles is used for collecting recyclable waste from large containers over a nite planning horizon. Each container is equipped with a sensor, which communicates its level at the start of the day. Given a history of observations, a forecasting model is used to estimate the point demand forecasts as we...

This paper introduces a robust inventory routing problem where a supplier distributes a single product to multiple customers facing dynamic uncertain demands over a finite discrete time horizon. The probability distribution of the uncertain demand at each customer is not fully specified. The only available information is that these demands are independent and symmetric random variables which ca...

In this paper we observe the extension of the vehicle routing problem (VRP) in fuel delivery that includes petrol stations inventory management and which can be classified as the Inventory Routing Problem (IRP) in fuel delivery. The objective of the IRP is to minimize the total cost of vehicle routing and inventory management. We developed a Variable Neighborhood Search (VNS) heuristic for solv...