Robust optimization for emergency logistics planning: Risk mitigation in humanitarian relief supply chains

This paper proposes a methodology to generate a robust logistics plan that can mitigate demand uncertainty in humanitarian relief supply chains. More specifically, we apply robust optimization (RO) for dynamically assigning emergency response and evacuation traffic flow problems with time dependent demand uncertainty. This paper studies a Cell Transmission Model (CTM) based system optimum dynamic traffic assignment model. We adopt a min–max criterion and apply an extension of the RO method adjusted to dynamic optimization problems, an affinely adjustable robust counterpart (AARC) approach. Simulation experiments show that the AARC solution provides excellent results when compared to deterministic solution and sampling based stochastic programming solution. General insights of RO and transportation that may have wider applicability in humanitarian relief supply chains are provided.     

Updating free speed models through mechanistic principles for Indian conditions

The prediction of free speeds of vehicles is an integral part of the economic appraisal of highways. It is to be noted that speeds not only govern the travel time costs, but also have major impacts on Vehicle Operating Costs (VOC). The World Bank has proposed a mechanistic free speed model based on the limiting speed concept for Highway Design and Maintenance (HDM)‐III. This model along with some refinements has been included in HDM‐4. The underlying assumption in the HDM free speed prediction model is that the free speed at any given point of time is the minimum of possible constraining speeds. This paper mainly addresses the methodology considered to update the free speed models through mechanistic principles (based on HDM‐4). This is accomplished by calibration of the model using the current data on free speeds, road and vehicle characteristics. Subsequently, the validation of the developed models has been carried out.     

Transportation planning and institutional rigidities in Surat,India

This paper while reviewing the prevalent traffic and transportation problems in a metropolitan city of India namely Surat, identifies certain institutional rigidities which mar prospects of planned improvements. The old city of Surat known as the Walled City is the center of chronic traffic congestion which is due to a variety of causes. Owing to the past neglect and the on-going developments, the Walled City is beset with numerous traffic and transportation as well as other problems. Based on an indepth analyses of field data, a series of short and long term remedial measures were worked out to cope with the immediate and the future travel demands. Of the proposals made, the traffic management scheme is designed to optimize the use of available infrastructural facilities with a thrust towards bus transportation. However, the success of these measures depends on the relaxation of the outdated practices which could stifle the implementation of the suggested solutions.