Adaptive Search and the Management of Logistics Systems: Base Models for Learning Agents
Adaptive Search and the Management of Logistics Systems: Base Models for Learning Agents
Building Effective Decision Support Systems
Building Effective Decision Support Systems
Serving Requests with On-line Routing
SWAT '94 Proceedings of the 4th Scandinavian Workshop on Algorithm Theory
Solving a generalized traveling salesperson problem with stochastic customers
Computers and Operations Research
A hybrid scatter search for the probabilistic traveling salesman problem
Computers and Operations Research
Dynamic Vehicle Routing Based on Online Traffic Information
Transportation Science
A multiperiod set covering location model for dynamic redeployment of ambulances
Computers and Operations Research
A dynamic driver management scheme for less-than-truckload carriers
Computers and Operations Research
Online decision making and automatic decision model adaptation
Computers and Operations Research
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Abstract: We propose to enhance decision support systems (DSS) by coordination capabilities to align the decision making of consortium partners for improving the process quality in volatile process environments. In computer simulation experiments, we reveal conceptional shortcomings of traditional DSS if unforeseen process-threatening events like unexpected workloads have to be handled by a consortium. It is demonstrated for a transportation process planning scenario that a process quality increase is achieved if a DSS is extended by components that align the process-related decision making of legally independent supply consortium partners. The central idea proposed to add coordination capabilities to DSS is to temporarily adjust decision models of subordinate consortium partners to the fulfillment degree of consortium objectives in order to establish a coordinated decision making.