Maintenance cost optimisation by integrating human and material resources: a case study Online publication date: Wed, 03-Jan-2018
by Mohammad Mahdi Nasiri; Sohrab Rajabi
International Journal of Business Continuity and Risk Management (IJBCRM), Vol. 7, No. 4, 2017
Abstract: Increasing the operational efficiency of complex technical systems is a major point of interest in logistics, inventory management and maintenance fields. Apart from being a support for the maintenance systems, the integration of resource allocation (especially human resources, inventories, and logistics) affects the availability of spare parts, and the operational efficiency. In this paper, first, a mixed integer nonlinear programming model based on base-stock inventory model is developed to formulate the problem of maintenance cost optimisation with integrating human and material resources. The model seeks the optimal number of workforces who repair equipment, the long run fill rate and the base-stock level in each stocking facility. Next, reformulate the model which contains spare parts demand uncertainty with the robust counterpart optimisation approach. The presented model is executed in one of the major car manufacturers in Iran.
Online publication date: Wed, 03-Jan-2018
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Continuity and Risk Management (IJBCRM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org