IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Workload Control: Emphasizing Speed to Beat the Competition

Workload Control: Emphasizing Speed to Beat the Competition
View Sample PDF
Author(s): Nuno O. Fernandes (Instituto Politécnico de Castelo Branco, Portugal)
Copyright: 2015
Pages: 9
Source title: Handbook of Research on Global Competitive Advantage through Innovation and Entrepreneurship
Source Author(s)/Editor(s): Luís M. Carmo Farinha (Polytechnic Institute of Castelo Branco & NECE – Research Unit, Portugal), João J. M. Ferreira (University of Beira Interior & NECE – Research Unit, Portugal), Helen Lawton Smith (Birkbeck, University of London & Oxfordshire Economic Observatory, Oxford University, UK)and Sharmistha Bagchi-Sen (State University of New York – Buffalo, Buffalo, NY, USA)
DOI: 10.4018/978-1-4666-8348-8.ch005

Purchase

View Workload Control: Emphasizing Speed to Beat the Competition on the publisher's website for pricing and purchasing information.

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.

Related Content

Elena Viktorovna Burdenko, Elena Vyacheslavovna Bykasova. © 2024. 28 pages.
Meng Kui Hu, Daisy Mui Hung Kee. © 2024. 21 pages.
Biljana S. Ilic, Gordana P. Djukic. © 2024. 22 pages.
Jose Manuel Saiz-Alvarez. © 2024. 18 pages.
Isaac Okoth Randa. © 2024. 24 pages.
Dileep Baburao Baragde. © 2024. 19 pages.
Richmond Anane-Simon, Sulaiman Olusegun Atiku. © 2024. 21 pages.
Body Bottom