in today's globalization, an effective integration of production and distribution plans into a unified framework is crucial for attaining competitive advantage. this paper addresses an integrated multi-product and multi-time period production/distribution planning problem for a two-echelon supply chain subject to the real-world variables and constraints. it is assumed that all transportations a...

On the operational level, production scheduling and transportation planning are usually carried out by different stakeholders, making locally bounded decisions. The integration of both tasks allows for a better management of disruptions that affect the effectiveness of the production and transportation systems. In this paper we study the integrated production and transportation scheduling probl...

Purpose: Multimodal freight transport developed in the transportation sector as an alternative to unimodal transport faced with the challenges brought by the growing global demand for transporting goods. Multimodal transport is the transportation of goods using at least two modes of transport, usually door-to-door. The common transport modes include railways, maritime routes, and the roads. Whe...

Recent research on fast route planning algorithms focused either on road networks or on public transportation. However, on the long run, we are interested in planning routes in a multi-modal scenario: we start by car to reach the nearest train station, ride the train to the airport, fly to an airport near our destination and finally take a taxi. In other words, we need to incorporate public tra...

Navigating large, urban transportation networks is a complicated task. A user needs to negotiate the available modes of transportation, their schedules, and how they are interconnected. In this article we present a Natural Language interface for trip planning in complex, multimodal, urban transportation networks. Our objective is to provide robust understanding of complex requests while giving ...

The analysis proceeds with a review of the problem of forecasting transportation requirements. Several idiosyncratic models are examined and their properties specified. The forecasting of transportation stocks and commodity flows is discussed. Models of the demand for transportation services are implemented with empirical data. Graph theory as an interpretative frame of reference is introduced ...

Computing travel plans for desired trips in public transportation systems is not exactly the same as finding a shortest driving path in a given area. Path planning in the context of public transportation systems must consider the route constraint that public vehicles serve on particular paths and that passengers cannot order the drivers to change the bus routes. Explicit representation of the r...

Optimization means using resources and existing technology at the best possible way. Better planning and its execution results in optimization of many problems. Quantitative models and mathematical tools such as linear programming allows for better result. We can use modern computing equipment for this purpose. Nowadays various problems of operational planning for transportation problems are so...