Analysis of cyclic queueing networks with parallelism and vacation

Personè, Vittoria de Nitto

doi:10.1007/s10479-008-0433-z

Cited by 4 publications

(1 citation statement)

References 14 publications

(28 reference statements)

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“…The MIP was also applied for problems where the "operators" are computers, servers, and communication devices. For example, de Nitto Personè (2009) tried to improve the machine interference model with vacation to deal with problems in the communication area. To this de Nitto Personè extended the model to include parallelism in the vacation station.…”

Section: Literature Reviewmentioning

confidence: 99%

A revised method for allocating the optimum number of similar machines to operators

Hadad

Keren

2016

International Journal of Productivity and Performance Management

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A revised method for allocating the optimum number of similar machines to operators Yossi Hadad Baruch Keren Article information:To cite this document: Yossi Hadad Baruch Keren , (2016),"A revised method for allocating the optimum number of similar machines Abstract Purpose -The purpose of this paper is to propose a method to determine the optimal number of operators to be assigned to a given number of machines, as well as the number of machines that will be run by each operator (a numerical partition). This determination should be made with the objective of minimizing production costs or maximizing profits. Design/methodology/approach -The method calculates the machines interference rate via the binomial distribution function. The optimal assignment is calculated by transformation of a partition problem into a problem of finding the shortest path on a directed acyclic graph. Findings -The method enables the authors to calculate the adjusted cycle time, the workload of the operators, and the utility of the machines, as well as the production yield, the total cost per unit, and the hourly profit for each potential assignment of operators to machines. In a case study, the deviation of the output per hour of the proposed method from the actual value was about 2 percent. Practical implications -The paper provides formulas and tables that give machine interference rates through the application of binomial distribution. The practicability of the proposed method is demonstrated by a real-life case study. Originality/value -The method can be applied in a wide variety of manufacturing systems that use many identical machines. This includes tire presses in tire manufacturing operations, ovens in pastry manufacturing systems, textile machines, and so on. A novel approach to production planning of flexible manufacturing systems using an efficient multi-objective genetic algorithm", International operator-machine assignment for machine interference problem and an empirical study in semiconductor test facility",

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Section: Literature Reviewmentioning

confidence: 99%