Service Delivery to Moving Demand Points Using Mobile Servers

International Journal of Production Economics 168:158-166, 2015, DOI: org/10.1016/j.ijpe.2015.06.024

Mays Business School Research Paper No. 2892708

26 Pages Posted: 5 Jan 2017 Last revised: 8 Jul 2018

See all articles by Mozart Menezes

Mozart Menezes

KEDGE Business School

Michael Ketzenberg

Texas A&M University - Department of Information & Operations Management

Rogelio Oliva

Mays Business School, Texas A&M University

Richard Metters

Texas A&M University - Department of Information & Operations Management

Date Written: October 2, 2015

Abstract

We consider serving moving customers that follow a structured route through a system. Demand for resources by these customers occurs during their time in the system and is met at discrete points. Demand can be probabilistic and multiple service attempts may be desired as customers move through the system. The decision of interest is how to meet demand with mobile servers. We develop a model to structure the problem, answer the research question, and determine when a server should move between locations as well as how long the server should stay in any one location.

Keywords: moving demand points, traveling salesman

Suggested Citation

Menezes, Mozart and Ketzenberg, Michael and Oliva, Rogelio and Metters, Richard, Service Delivery to Moving Demand Points Using Mobile Servers (October 2, 2015). International Journal of Production Economics 168:158-166, 2015, DOI: org/10.1016/j.ijpe.2015.06.024; Mays Business School Research Paper No. 2892708. Available at SSRN: https://ssrn.com/abstract=2892708

Mozart Menezes

KEDGE Business School ( email )

Domaine de Luminy - BP 921
BP 921
Marseille, PACA 13288
France

Michael Ketzenberg

Texas A&M University - Department of Information & Operations Management ( email )

430 Wehner
College Station, TX 77843-4218
United States

Rogelio Oliva (Contact Author)

Mays Business School, Texas A&M University ( email )

430 Wehner
College Station, TX 77843-4218
United States

Richard Metters

Texas A&M University - Department of Information & Operations Management ( email )

430 Wehner
College Station, TX 77843-4218
United States

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