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Cited by 7 publications
(3 citation statements)
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“…The maintenance spare parts inventory can be minimized with the help of JIT philosophy, which reduces the waste involved in production, processing, defects, rework/rejection, transportation, waiting and motion (Phogat and Gupta, 2019). Activity-based Life Cycle Cost (LCC) optimization model provides greater reliability with minimum LCC for specified spare parts inventory policy (Duran et al., 2019). The inventory performance can be enhanced with the help of best fit demand distribution analysis (Turrini and Meissner, 2019).…”
Section: Detailed Analysis Of Literaturementioning
confidence: 99%
“…The maintenance spare parts inventory can be minimized with the help of JIT philosophy, which reduces the waste involved in production, processing, defects, rework/rejection, transportation, waiting and motion (Phogat and Gupta, 2019). Activity-based Life Cycle Cost (LCC) optimization model provides greater reliability with minimum LCC for specified spare parts inventory policy (Duran et al., 2019). The inventory performance can be enhanced with the help of best fit demand distribution analysis (Turrini and Meissner, 2019).…”
Section: Detailed Analysis Of Literaturementioning
confidence: 99%
“…Wu et al 136 proposed an approach based on genetic algorithms to reduce the total operational cost of spare parts logistic system by appropriately designing the bill of material configuration. Dura´n et al 137 used genetic algorithm to develop an optimization model for spare parts management during the life cycle based on the principles of Activity Based Costing. The above researches were considered from the different perspective of inventory configuration by genetic algorithms.…”
Section: Optimization Algorithms Of Spare Parts Configurationmentioning
confidence: 99%
“…Multi-level spare parts inventory and redundant system Spare parts reliability [107][108][109][110][111][112] Redundancy system [116][117][118][119][120][121][122][123][124] Supply chain [126][127][128][129][130] Optimization algorithms Supply volume, supply time, system guarantee rate, maintenance period, cost of spare parts in each warehouse Genetic algorithm [131][132][133][134][135][136][137] Solve fast and can be applied to highdimensional problems…”
Section: Lower Configuration Accuracymentioning
confidence: 99%