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Application of Particle Swarm Optimization Method to Availability Optimization of Thermal Power Plants
Published in Ganesh M. Kakandikar, Dinesh G. Thakur, Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems, 2020
Hanumant P. Jagtap, Anand K. Bewoor, Firozkhan Pathan, Ravinder Kumar
In this study, a Markov-based availability simulation model was developed. The failure rate and repair rate of the subsystems of the TPP were taken as input. The availability matrices were developed, which facilities the maintenance person to decide on the maintenance priority according to the criticality level. The results obtained from the availability analysis revealed that the turbine-governing system, condenser, and boiler drum are the most critical equipment of the TPP from an availability point of view. On the basis of results obtained related to the optimum availability level mentioned in Table 7.7, the maintenance priority is recommended in the following order: (i) turbine-governing system, (ii) condenser, (iii) boiler drum, (iv) stacker reclaimer, (v) primary air fan, and (vi) boiler feedwater pump.
Selective conveying and homogenization in the Bełchatów mine
Published in Tibor G. Rozgonyi, Tad S. Golosinski, Continuous Surface Mining, 2020
Another area of the mine where material flow is controlled is the lignite homogenization yard. It is equipped with three parallel conveyors, each working with a stacker-reclaimer unit. The stockpiles in the yard may contain up to 600 000 tonnes of lignite. The lignite collector conveyors deliver lignite either to the homogenization yard, or if no homogenization is required, directly onto the power plant feed conveyors. Before reaching the yard, the three lignite collector conveyors can transfer lignite as follows: The first collector conveyor can feed any of the three yard conveyors, or the yard bypass conveyor.The second collector conveyor can feed any of the three yard conveyors.The third collector conveyor can feed two yard conveyors.
Advances in plant-based quality control practice
Published in Anjan Kumar Chatterjee, Cement Production Technology, 2018
A typical pre-blending flow sheet with PGNAA of an operating plant is shown in Figure 8.5 (4). The bulk analyzer is housed in a multistory tower between the crusher and the blending bed on the stacker-reclaimer system. The crushed material passes through a feed bin that compensates for fluctuations in the quantity of material from the crusher, and into the analyzer chute. Throughput is controlled by a variable-speed conveyor belt below the analyzer. Fine correction of the raw mix is effected by adding the required corrective materials before the mill. On the whole, the performance of PGNAA for bulk analysis of crushed stone in the cement plants has been satisfactory, as evidenced ultimately by the uniformity of kiln feed in most situations.
A hybrid column-generation and genetic algorithm approach for solving large-scale multimission selective maintenance problems in serial K-out-of-n:G systems
Published in International Journal of Production Research, 2023
Ryan O'Neil, Claver Diallo, Abdelhakim Khatab, El-Houssain Aghezzaf
This set of experiments considers the coal transportation system initially studied in Liu and Huang (2010) and whose reliability block diagram is drawn in Figure 3. The system is composed of 5 subsystems: 2 conveyors, 2 feeders, and a stacker-reclaimer and is made up of 14 total components. The shape and scale parameters, age at the start of the first maintenance break, time to perform the PM levels, and the cost of MR for each component are displayed in Table 7. The repair crew maintenance cost rate is set to per unit of time, i.e. . The planning horizon is considered as composed of an alternating sequence of M = 10 missions and scheduled breaks. The respective missions and breaks durations are assumed identical and estimated at and (). When no maintenance actions are carried out, the system reliability to operate the first mission is evaluated to and decreases down to for the last mission. To improve these reliabilities, the multimission SMP needs to be solved.
A two-stage stochastic programming for single yard crane scheduling with uncertain release times of retrieval tasks
Published in International Journal of Production Research, 2019
Feifeng Zheng, Xiaoyi Man, Feng Chu, Ming Liu, Chengbin Chu
Expósitoizquierdo et al. (2014) studied the quay crane scheduling with random breakdowns of the quay crane. They first proposed a dynamism management system to follow the implementation of the initial plan according to a completely deterministic environment. A rescheduling strategy was further provided to generate suitable schedules against the unexpected disruptions during task processing. An evolutionary algorithm was presented for the deterministic scenario, and then several rescheduling strategies were integrated into the dynamism management system. Vianen, Ottjes, and Lodewijks (2015) investigated a simulation-based rescheduling problem for stacker-reclaimer operations in a dry bulk terminal. Due to the large variation of operation time between vessels and cargo trains at the terminal, a simulation tool was developed to reduce the waiting time of a cargo train being on loading via interrupting the service of some vessel without severely postponing its port stay time. Liu, Zheng, and Zhang (2016) extended the study of Expósitoizquierdo et al. (2014). They aimed tominimise the negative deviation of unexpected disruptions from the originally planned schedule. The problem was divided into two phases, and the behaviour perception-based disruption models were proposed for each phase according to the prospect theory. A mixed integer programming based relax-and-fix algorithm was proposed to obtain optimal solutions for the first phase and a dynamic programming technique is applied for the second phase.
Robust selective maintenance strategy under imperfect observations: A multi-objective perspective
Published in IISE Transactions, 2020
A coal transportation system studied in Liu and Huang (2010) is used as an example to further examine the effectiveness of the proposed robust selective maintenance method for large-scale systems. The system, which is composed of five subsystems, is used to supply a boiler in a power station as shown in Figure 8. Feeder 1 transfers the coal from the bin to conveyor 1. Conveyor 1 transports the coal to the stacker-reclaimer that lifts the coal up to the burner level. Feeder 2 loads conveyor 2 that supplies the burner feeding system of the boiler. The system consists of s-independent components, and the failure time of each component follows the Weibull distribution. The parameters of each component are listed in Table 7.