Decision-Making Frameworks for Integrating Motion Control in Business Operations

Deepika, R., Shankaranarayanan, Nithya, Durgarani, M., Delecta Jenifer, R. and Prakash, K. (2025) Decision-Making Frameworks for Integrating Motion Control in Business Operations. In: Methodologies and Applications of Intelligent Motion Control Systems. IGI Global Scientific Publishing, pp. 159-188. ISBN 9798369336373

Full text not available from this repository. (Request a copy)

Abstract

This chapter includes some strategic plans of how to incorporate motions control technologies in the business to promote efficiency, agility, and to make data-driven decisions. It cogitates about the real-time motion tracking and the focus on optimization in the logistics sphere, production and asset management through automation and smart analytics. The chapter explains how AI, IoT, control algorithms help harmonize the processes of motion with the goals of organizations. They lay emphasis on decision theory, performance measures and on the flexibility of motion systems in dynamic environments. The chapter has shed light on the ability of motion control to become the engine of innovation and competition in the operation of the contemporary enterprise by offering scalable and practical integration models.

Item Type:	Book Section
Additional Information:	** From Crossref book chapters via Jisc Publications Router ** History: ppub 12-09-2025; issued 12-09-2025.
SWORD Depositor:	JISC Router
Depositing User:	JISC Router
Date Deposited:	14 Jan 2026 12:43
Last Modified:	14 Jan 2026 12:52
URI:	https://bnu.repository.guildhe.ac.uk/id/eprint/20756

Actions (login required)

Edit Item