2019
DOI: 10.18280/jesa.520611
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Performance Measures of Online Warehouse Service System with Replenishment Policy

Abstract: In this work, we studied an inventory model with a single-component preservation system and the replenishment schedule as decision variables. The system has characteristics with three distinct states. The productive items are maintained in the warehouse, the items are serviced on demand of the customers, any defective items are to be serviced if it serviceable or discarded. The system is monitored periodical intervals, and the warehouse system is maintained with frequent observations and inspections. Based on … Show more

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Cited by 8 publications
(3 citation statements)
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References 20 publications
(26 reference statements)
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“…For the N independent samples, X n , where n = 1, 2, …, N represents independently distributed random variables tested in the experiments. Then, the mean value for this experiment can be expressed as an estimation of the average of all samples [14][15][16][17][18].…”
Section: Methodsmentioning
confidence: 99%
“…For the N independent samples, X n , where n = 1, 2, …, N represents independently distributed random variables tested in the experiments. Then, the mean value for this experiment can be expressed as an estimation of the average of all samples [14][15][16][17][18].…”
Section: Methodsmentioning
confidence: 99%
“…This paper was focused on combustible gas detection. In this basically, they built an embedded design which includes typical input and output devices include switches, relays, solenoids, LEDs, small or custom LCD displays, radio frequency devices, and sensors for data such as temperature, humidity, light level etc [23][24][25]. Principle of operation proposed was the gas detector alarm system is designed with the intention to ensure that the event of gas is intelligently detected, promptly notified and interactively managed.…”
Section: Introductionmentioning
confidence: 99%
“…It exploits the repetitive high level synthesis process. Macro blocks synthesized through high-level behavioural synthesis are registered in a database before the system level synthesis, and the information in the database is used for the optimization of resource consumption through the system level synthesis [10]. In this work authors tried to investigate the dependencies of resource consumption on the granularity of coarse grained function definitions using the extended database management function of Cyber Work Bench.…”
Section: Introductionmentioning
confidence: 99%