ItemBook Chapter

Decision-Making Frameworks for Integrating Motion Control in Business Operations

Title
Decision-Making Frameworks for Integrating Motion Control in Business Operations
Creator
Deepika, R.; Nithya, S.; Durgarani, M.; Delecta Jenifer, R.; Prakash, K.
Description
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. 2026, IGI Global Scientific Publishing. All rights reserved.
Source
Methodologies and Applications of Intelligent Motion Control Systems;pp.159-187
Date
01-01-2025
Publisher
IGI Global
Coverage
Deepika R., Rajalakshmi School of Business, Chennai, India; Nithya S., Buckinghamshire New University, United Kingdom; Durgarani M., Christ University, India; Delecta Jenifer R., Chennai, India; Prakash K., SRM Institute of Science and Technology, Chennai, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-836933638-0; 979-836933637-3;
Format
online
Language
English
Type
Book chapter

Citation

Deepika, R.; Nithya, S.; Durgarani, M.; Delecta Jenifer, R.; Prakash, K., “Decision-Making Frameworks for Integrating Motion Control in Business Operations,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 21, 2026, https://archives.christuniversity.in/items/show/24950.

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