Analytical Research on Agility Index of a Manufacturing System
Ezekiel Omoniyi1, Peter Oyekola2, KamalakantaMuduli3, John Pumwa4, Samuel Bara-Hart5
1Ezekiel Omoniyi, Mechanical Engineering Department, Bells University of Technology, Ota, Nigeria.
2Peter Oyekola, Mechanical Engineering Department, Papua New Guinea University of Technology, Lae, Papua New Guinea.
3KamalakantaMuduli, Mechanical Engineering Department, Papua New Guinea University of Technology, Lae, Papua New Guinea.
4John Pumwa, Mechanical Engineering Department, Papua New Guinea University of Technology, Lae, Papua New Guinea.
5Samuel Bara-Hart, Mechanical Engineering Department, Bells University of Technology, Ota, Nigeria.
Manuscript received on 01 August 2019. | Revised Manuscript received on 06 August 2019. | Manuscript published on 30 September 2019. | PP: 4753-4759 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6859098319/2019©BEIESP | DOI: 10.35940/ijrte.C6859.098319
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Agility level of any organisation portrays the degree of flexibility of the organisation in responding to customer needs. Hence, knowledge of agility level assumes its importance for developing the competitive strategies for any organisation including the manufacturing firms. In this line monitoring the level of agility and flexibility in a manufacturing organisation could be considered to be an important element for meeting the business objectives. However, proper evaluation of this agility metrics becomes deceptive to define owing to its vague nature and application in non-manufacturing related systems. In this regard an attempt has been made in this research to develop agility index of 3 types of plants. The results of this study revealed the Polyethylene plant has the highest agility index of 9.51 out of the three case plants. The results also revealed that the agility index of the Olefins plant is 7.32 and that of the Polypropylene plant is 6.37. Plants with a high agility index reflects its higher degree of agility level.
Index terms: Agile Manufacturing, Analytic Hierarchy Process, Agility Index.
Scope of the Article: Operational Research