Optimizing the program of preventive maintenance of the series-parallel system: A case study of the water supply system of power plants
Volume 11, Issue 1, Spring 2021, Pages 45-60
https://doi.org/10.48313/jqem.2021.136216
Ali Heydari, Mahmoud Shahrokhi
Abstract In this research, a Multi-Objective model for reliability-centered preventive maintenance planning for a production system with parallel series components is developed. In this model, maintenance costs and cost of failures; including the cost of lost production, due to system shutdown are considered. In this way, this model plans preventive maintenance operations with the aim of increasing the system reliability level, with the lowest total cost. A binary nonlinear program is developed and a numerical example is solved for it and the results are discussed. To solve the proposed model, the Augmented Epsilon Constraint Method (AUGMECON) by GAMS software is used and the results are discussed. The results show the effect of preventive service planning on system failure rate and reliability. The proposed approach can be used to plan maintenance of industrial systems by considering the reliability related costs
Provide an integrated mathematical planning model for selecting and allocating orders for biomass power plant green suppliers
Volume 7, Issue 1, Spring 2017, Pages 1-15
Maysam Nasrollahi, Mahdi Hakimiasl, Alireza Hakimiasl, Abbas Keramati
Abstract Widespread environmental degradation and increasing emissions of greenhouse gases have raised environmental concerns among communities and governments. One of the ways to reduce environmental pollution is to implement a green supply chain. In this study, the selection of green suppliers of biomass power plant equipment and how to allocate demand to them as one of the key strategic decisions of the supply chain has been investigated. Due to the multiplicity of criteria in this issue, using pairwise comparison methods for weighting will not be effective. In the proposed integrated model, the principal component analysis method is used to meet this challenge. Finally, using a multi-objective mathematical planning model, the amount of demand allocation to each supplier is determined. The proposed method was used to select green suppliers of Shiraz biomass power plant equipment. The results show the efficiency of the proposed model for selecting green suppliers of biomass power plant equipment.