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Workload Control: Emphasizing Speed to Beat the Competition

Workload Control: Emphasizing Speed to Beat the Competition

Nuno O. Fernandes
Copyright: © 2015 |Pages: 9
ISBN13: 9781466683488|ISBN10: 1466683481|EISBN13: 9781466683495
DOI: 10.4018/978-1-4666-8348-8.ch005
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MLA

Fernandes, Nuno O. "Workload Control: Emphasizing Speed to Beat the Competition." Handbook of Research on Global Competitive Advantage through Innovation and Entrepreneurship, edited by Luís M. Carmo Farinha, et al., IGI Global, 2015, pp. 61-69. https://doi.org/10.4018/978-1-4666-8348-8.ch005

APA

Fernandes, N. O. (2015). Workload Control: Emphasizing Speed to Beat the Competition. In L. Carmo Farinha, J. Ferreira, H. Smith, & S. Bagchi-Sen (Eds.), Handbook of Research on Global Competitive Advantage through Innovation and Entrepreneurship (pp. 61-69). IGI Global. https://doi.org/10.4018/978-1-4666-8348-8.ch005

Chicago

Fernandes, Nuno O. "Workload Control: Emphasizing Speed to Beat the Competition." In Handbook of Research on Global Competitive Advantage through Innovation and Entrepreneurship, edited by Luís M. Carmo Farinha, et al., 61-69. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8348-8.ch005

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Abstract

Global competition and changing customer requirements are putting major challenges in the production planning and control systems of manufacturing enterprises. Production planning and control requires robust methods able to cope with demand variability, processing times variability, routing sequences, resource availability, etc., between other sources of variation. Production planning and control significantly influences target performance criteria such as the delivery time, on-time delivery, work-in-process inventory, and resources utilization. Therefore, production planning and control is strategically important for the economic success of these enterprises and innovative production planning and control methods are required. This chapter describes how workload control, a leading production planning and control system for small- and medium-sized enterprises, operates and illustrates how it aids in shortening and stabilising throughput times based on a simulation study of a small made-to-order production system.

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