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Preventive maintenance task balancing with spare parts optimisation via big-bang big-crunch algorithm

Ighravwe, D.E and Oke, Sunday Ayoola and Adebiyi, K. A. (2016) Preventive maintenance task balancing with spare parts optimisation via big-bang big-crunch algorithm. International Journal of Systems Assurance Engineering and Management. pp. 1-12.

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Work balancing increasingly plays an important role in both the production and maintenance functions. However, the literature on work balancing problems in transfer line manufacturing systems provides little information on the contributions of maintenance technicians and spare parts with a focus on penalty, technicians’ costs and incentives for staff. Unlike existing reports, the current investigation attempts to solve the maintenance task balancing problem. It combines preventive maintenance technicians’ assignments with product demand and spares utilisation in a transfer line manufacturing system. It uses an optimisation framework that measures the success of post-line balancing solution performance in a system from a holistic perspective. The novelty of the approach lies in the integration of technicians and spare parts theory and the introduction of penalty, technicians’ costs and incentive for staff. The proposed optimisation method was applied to a case study for detergent manufacturing system as a means of testing the effectiveness and robustness of the approach. The results show that the proposed model appears to be effective. Some simulations were also carried out to complement practical results

Item Type: Article
Uncontrolled Keywords: Demand, maintenance task balancing, spare parts cost, maintenance technicians, big-bang big-crunch algorithm
Subjects: T Technology > TJ Mechanical engineering and machinery
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 16 Feb 2017 11:35
Last Modified: 16 Feb 2017 11:35

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