Established in 2006, TATA Africa Services (Nigeria) Limited operates as the nodal point for Tata businesses in West Africa. TATA Africa Services (Nigeria) Limited has a strong presence in Nigeria with investments exceeding USD 10 million. The company was established in Lagos, Nigeria as a subsidiary of TATA Africa Holdings (SA) (Pty) Limited, South Africa and serves as the hub of Tata’s operations in Nigeria and the rest of West Africa.

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On the truck dispatching problem

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Guidance And Control Of Ocean Vehicles

Minimum Cardinality Matrix Decomposition into Consecutive-Ones Matrices: CP and IP Approaches.- Connections in Networks: Hardness of Feasibility Versus Optimality.- Modeling the Regular Constraint with Integer Programming.- Hybrid Local Search for Constrained Financial Portfolio Selection Problems.- The "Not-Too-Heavy Spanning Tree" Constraint.- Eliminating Redundant Clauses in SAT Instances.- Cost-Bounded Binary Decision Diagrams for 0-1 Programming.- YIELDS: A Yet Improved Limited Discrepancy Search for CSPs.- A Global Constraint for Total Weighted Completion Time.- Computing Tight Time Windows for RCPSPWET with the Primal-Dual Method.- Necessary Condition for Path Partitioning Constraints.- A Constraint Programming Approach to the Hospitals / Residents Problem.- Best-First AND/OR Search for 0/1 Integer Programming.- A Position-Based Propagator for the Open-Shop Problem.- Directional Interchangeability for Enhancing CSP Solving.- A Continuous Multi-resources cumulative Constraint with Positive-Negative Resource Consumption-Production.- Replenishment Planning for Stochastic Inventory Systems with Shortage Cost.- Preprocessing Expression-Based Constraint Satisfaction Problems for Stochastic Local Search.- The Deviation Constraint.- The Linear Programming Polytope of Binary Constraint Problems with Bounded Tree-Width.- On Boolean Functions Encodable as a Single Linear Pseudo-Boolean Constraint.- Solving a Stochastic Queueing Control Problem with Constraint Programming.- Constrained Clustering Via Concavity Cuts.- Bender's Cuts Guided Large Neighborhood Search for the Traveling Umpire Problem.- A Large Neighborhood Search Heuristic for Graph Coloring.- Generalizations of the Global Cardinality Constraint for Hierarchical Resources.- A Column Generation Based Destructive Lower Bound for Resource Constrained Project Scheduling Problems.

Integration of AI and OR techniques in constraint programming for combinatorial optimization problems : 4th International Conference, CPAIOR 2007, Brussels, Belgium, May 23-26, 2007 : proceedings

A literature review on the vehicle routing problem with multiple depots

Disaster relief presents many unique logistics challenges, with problems including damaged trans- portation infrastructure, limited communication, and coordination of multiple agents. Central to disaster relief logistics is the distribution of life-saving commodities to beneficiaries. Operations research models have potential to help relief agencies save lives and money, maintain standards of humanitarianism and fairness and maximize the use of limited resources amid post-disaster chaos. Through interviews with aid organizations, reviews of their publications, and a literature review of operations research models in transportation of relief goods, this paper provides an analysis of the use of such models from the perspective of both practitioners and academics. With the complexity of disaster relief distribution and the relatively small number of journal articles written on it, this is an area with potential for helping relief organizations and for tremendous growth in operations research.

/pdf/disaster-relief-routing-integrating-research-and-practice-51sv6aijxa.pdf

Disaster relief routing: Integrating research and practice

http://users.iems.northwestern.edu/~dolira/WorkingPaperNetworkRepair_Nov6_2014.pdf

Network Repair Crew Scheduling and Routing for Emergency Relief Distribution Problem

Planning a trip with an electric vehicle requires consideration of both battery dynamics and the availability of charging infrastructure. Recharging costs for an electric vehicle, which increase as the battery’s charge level increases, are fundamentally different than refueling costs for conventional vehicles, which do not depend on the amount of fuel already in the tank. Furthermore, the viability of any route requiring recharging is sensitive to the availability of charging stations along the way. In this paper, we study the problem of finding an optimal adaptive routing and recharging policy for an electric vehicle in a network. Each node in the network represents a charging station and has an associated probability of being available at any point in time or occupied by another vehicle. We develop efficient algorithms for finding an optimal a priori routing and recharging policy and then present solution approaches to an adaptive problem that build on a priori policy. We present two heuristic methods f...

/pdf/adaptive-routing-and-recharging-policies-for-electric-4o3g3iprss.pdf

Adaptive Routing and Recharging Policies for Electric Vehicles

Nongovernmental organizations (NGOs) involved in humanitarian relief provide supplies and services to people in need. Transportation and logistics are big parts of NGO operations, as agencies transport and distribute supplies to and within the affected regions. Improving efficiency of their logistics systems has potential to significantly decrease agencies’ operational costs and expand their services. Logistical coordination in humanitarian relief can bring together players with various expertise, experiences and capabilities within an affected region to share and mutually benefit from collaborative work. Coordination is commonly adopted in commercial settings; however, in the humanitarian relief domain, there has been limited success in coordination among NGOs. We present findings from an ongoing joint university – nonprofit organization research project on logistical coordination in humanitarian relief. We work closely with logistics personnel for NGOs to get an in-depth understanding of operations in practice. We identify critical components and challenges related to coordination and recommend strategies to overcome these obstacles, focusing on decentralized approaches. Our research goal is to use the expertise of our nonprofit partner, Aidmatrix Foundation, who has implemented coordination platforms in other humanitarian domains, distributing food, medical supplies and disaster relief, to develop a new system to enable logistical coordination in humanitarian relief.

http://users.iems.northwestern.edu/~dolira/IERC2011_HLCoordination2011_Final.pdf

Decentralized approaches to logistics coordination in humanitarian relief

Recharging decisions for electric vehicles require many special considerations because of battery dynamics. Battery longevity is prolonged by recharging less frequently and at slower rates, and also by not charging the battery too close to its maximum capacity. In this paper, we address the problem of finding an optimal recharging policy for an electric vehicle along a given path. The path consists of a sequence of nodes, each representing a charging station, and the driver must decide where to stop and how much to recharge at each stop. We present efficient algorithms for finding an optimal policy in general instances with deterministic travel costs and homogeneous charging stations, and also for two specialized cases—one where the vehicle can stop anywhere along the path to recharge and another with equidistant charging stations along the path. In addition, we develop two heuristic procedures that we characterize analytically and explore empirically. We further analyze and test our solution methods on m...

http://users.iems.northwestern.edu/~dolira/WorkingPaperEV_Nov6_2014.pdf

Irina S. Dolinskaya

Papers

Disaster relief routing: Integrating research and practice

Network Repair Crew Scheduling and Routing for Emergency Relief Distribution Problem

Adaptive Routing and Recharging Policies for Electric Vehicles

Decentralized approaches to logistics coordination in humanitarian relief

Optimal Recharging Policies for Electric Vehicles