<p style='text-indent:20px;'>The Multi-Product Inventory-Location-Routing Problem with heterogeneous fleet considers a supply chain, which comprises multiple producers, potential distribution centers (DCs) opening capacity levels and geographically scattered retailers each of has deterministic demand over discrete planning horizon. The goal is determining set DCs their to open, assigning ...

This study is concerned with how the quality of perishable products can be improved by shortening the time interval between production and distribution. As special types of food such as dairy products decay fast, the integration of production and distribution scheduling (IPDS) is investigated. An integrated scheduling of both processes improves the performance and costs because the separated sc...

Recent years, spatial data and observed data, such as digital road map, traffic route, vehicle speed, recordings events and others, are integrated and stored into the spatial temporal database systems. Various location-based services by using mobile phone are also becoming popular. In this paper, we focus on one of GIS-based scheduling applications concerning the availability of GPS technologie...

Alternative fuel vehicles may pose challenges to evacuation planning because of their short driving range and the sparse refueling infrastructure existing on transportation networks. Deployment strategic siting emergency stations are needed support alternative reach a shelter. This study proposes location-routing problem with hop constraints that optimize placement each type routing. We develop...

In the strategic design of a distribution system, the right number of stock points for the various products is an important question. In the last decade, a strong trend in the consumer goods industry led to centralizing the inventory in a single echelon consisting of a few parallel warehouses or even a single distribution center for a Europe-wide distribution system. Centralizing inventory is j...

In this paper, we study the stochastic transportation-inventory network design problem involving one supplier and multiple retailers. Each retailer faces some uncertain demand. Due to this uncertainty, some amount of safety stock must be maintained to achieve suitable service levels. However, risk-pooling benefits may be achieved by allowing some retailers to serve as distribution centers (and ...

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