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David M. Miller

Researcher at University of Alabama

Publications -  34
Citations -  1080

David M. Miller is an academic researcher from University of Alabama. The author has contributed to research in topics: Decision support system & Expert system. The author has an hindex of 15, co-authored 34 publications receiving 1016 citations.

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An Integrated Spatial DSS for Scheduling and Routing Home-Health-Care Nurses

TL;DR: A spatial decision support system (SDSS) successfully integrates stand-alone PC-based geographic-information-system software with scheduling heuristics and databases to form a user-friendly tool that saves the association travel time and schedule-preparation time and improves the balance of work among nurses.
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Stocking Decisions for Low-Usage Items in a Multilocation Inventory System

TL;DR: This research shows that organizations with a number of "sister" plants, warehouses, or other stocking points can profit from the concept of proactive use of transshipments as an element of their inventory control policy.
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A capacitated vehicle routing problem for just-in-time delivery

TL;DR: In this paper, the authors focus on the formulation and solution of the problem of planning vehicle routes for material delivery within the premises of a plant working under a just-in-time production system, where the quantity to be delivered at each of the demand nodes is a function of the route taken by the vehicle assigned to serve that node.
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Simulation optimization-based decision support tool for steel manufacturing

TL;DR: This research employs a simulation optimization approach to develop a decision support tool to aid in strategic and operational decision-making and demonstrates the ability of the solution approach to analyze complex industrial systems and identify potential improvements in a short time frame.
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An interactive, computer-aided ship scheduling system

TL;DR: How the underlying decision problem was analyzed was analyzed using both a network flow model and a mixed integer programming model, and the components of the decision support system developed to generate schedules are described.