Optimal management of remanufacturing systems with server vacations

Aksoy, Hasan; Gupta, Surendra M.

doi:10.1007/s00170-010-3001-z

Cited by 21 publications

(8 citation statements)

References 66 publications

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“…Constraint (7) assures that the total volume of I i does not exceed available volume. Constraint (8) assures that the total sum of I i cost in production line does not exceed the upper limit of buffer cost which defined by DM. Constraint (9) checks if the sum of purchased machines cost is equal or less than the upper cost limit (budget) of purchasing x ij .…”

Section: Index Of Mutation Mpmentioning

confidence: 99%

“…Aksoy and Gupta consider optimal management of remanufacturing systems with server vacations. They introduce a near optimal buffer allocation plan specifically developed for a remanufacturing system with finite buffers and server vacations [8]. Buzacott derives an analytic formula for the production rate of two-machine one-buffer lines in a deterministic process time model [9].…”

Section: Introductionmentioning

confidence: 99%

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A new hybrid method for buffer sizing and machine allocation in unreliable production and assembly lines with general distribution time-dependent parameters

Mohtashami

2014

Int J Adv Manuf Technol

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This paper proposes a multi-objective mathematical formulation and a hybrid approach to solve buffer sizing and machine allocation problems simultaneously in unreliable production and assembly lines. This paper unlike prior researches assumes that time-dependent parameters of production systems are generally distributed (e.g., uniform, normal, gamma, etc.) and not only deterministic or exponential. This paper proposes a multi-objective mixed binary integer nonlinear mathematical model to solve the problem of buffer sizing and machine allocation. The proposed mathematical model is capable of purchasing new machines (candidate) and also selling old machines (current available). In other words, this model compares the candidate machines to current available machines in each station based on different aspects and is capable to replace the current machines with candidate machines or to sell some of the current machines without replacement. To solve the mentioned problem, a new formulation for dealing with multi-objectiveness of the problem is proposed. This formulation generates a series of nondominated solutions, and also, it is capable of generating a non-dominated solution between two adjacent non-dominated solutions determined by decision maker. A hybrid genetic algorithm (HGA) with a new dynamic mutation probability is proposed to solve the model. Since the proposed mathematical model and the proposed solution method are novel, the proposed HGA is compared to simple genetic algorithm and non-dominated sorting genetic algorithm (NSGA-II). The computational results indicate the effectiveness of the proposed HGA.

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Section: Index Of Mutation Mpmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A new hybrid method for buffer sizing and machine allocation in unreliable production and assembly lines with general distribution time-dependent parameters

Mohtashami

2014

Int J Adv Manuf Technol

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“…Wang et al [7] studied the M/M/1 machine repair problem with working vacation in which the server works with different repair rates. Aksoy and Gupta [8] had used queuing models M/M/1 and M/M/∞ and introduced a near-optimal buffer allocation plan specifically developed for a remanufacturing system with finite buffers and server vacations.…”

Section: Introductionmentioning

confidence: 99%

Bayesian sample sizes in an M/M/1 queueing systems

Quinino

Cruz

2016

Int J Adv Manuf Technol

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Although the broad field of applications amply justifies an intensive study of queueing models, it turned out that these models are also of great use outside the field of queueing theory, e.g., in inventory and maintenance theory very important for production systems. In these applications, the queue model M/M/1 has several works that illustrate its importance, but usually, they adopt the parameters known. The literature presents estimation methods such as maximum likelihood and Bayesian that could be directly applied. However, there is no discussion about planning the sample size to guarantee the precision of the parameters that are estimated. An accurate estimate of the model parameters can avoid wrong decisions on inventory control and maintenance. The focus here is on sample size determination for estimates in single-server Markovian infinity queues, considered the simplest and yet most useful queueing model for its accuracy to model many problems of practical interest. In this article, a Bayesian method is described for sample size determination for traffic intensity estimation, one of the most important parameters for performance evaluation of queueing systems. Numerical results are presented to attest to the efficiency and efficacy of the approach.

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“…Uma alocação quase ótima de buffers para um sistema de remanufatura com paradas previstas da unidade foi apresentada por (Aksoy & Gupta, 2011). Para isso, foram considerados na função objetivo, os custos relativos ao estoque intermediário, sendo proposto um algoritmo para minimização dos custos totais.…”

Section: Revisão Sistemática Sobre Gestão De Estoques Intermediáriosunclassified

“…Referência Classificação ABC dos estoques e diferenciação dos tipos de controle (Silver et al, 2016), (Aberdeen, 2006) Revisão de estratégias e políticas mais de uma vez por ano (Aberdeen, 2006) Utilização de sistema com alta visibilidade da cadeia (Aberdeen, 2006), (Hwang, 2006) Treinamento de pessoas envolvidas (Silver et al, 2016) Mapeamento de fluxo de valor (Abdulmalek & Rajgopal, 2007), e (Jeyaraj et al, 2013) Realização de estudo detalhado do inventário (Silver et al, 2016) Modelagem e simulação dos sistemas para determinação do estoque necessário (Orcun et al, 2009), (Aksoy & Gupta, 2011), (Manoj et al, 2012), (Schwartz & Rivera, 2010), (Wang et al, 2007) Disseminação de conceitos da filosofia lean (Sendil Kumar & Panneerselvam, 2007), (Abdulmalek & Rajgopal, 2007), (Tanco et al, 2013) Comparação com outras empresas (configuração dos estoques) (Demeter & Golini, 2014) Alinhamento com plano estratégico da empresa (Silver et al, 2016), (Aberdeen, 2006) Definição clara de responsáveis (Silver et al, 2016) Participação multi-disciplinar para definição de estratégias (Silver et al, 2016), (Aberdeen, 2006) Divulgação periódica dos resultados para os empregados e corpo gerencial (Silver et al, 2016), (Aberdeen, 2006) Para a avaliação da facilidade de implementação de cada recomendação, foi realizada uma estimativa de necessidade de homem-hora para execuçãoquanto mais baixo, maior a facilidade de implementação. Os valores propostos foram validados por avaliador interno não tendencioso.…”

Section: Recomendaçãounclassified

Gestão De Estoques De Produtos Intermediários: Estudo De Caso De Uma Empresa De Petróleo

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Optimal management of remanufacturing systems with server vacations

Cited by 21 publications

References 66 publications

A new hybrid method for buffer sizing and machine allocation in unreliable production and assembly lines with general distribution time-dependent parameters

A new hybrid method for buffer sizing and machine allocation in unreliable production and assembly lines with general distribution time-dependent parameters

Bayesian sample sizes in an M/M/1 queueing systems

Gestão De Estoques De Produtos Intermediários: Estudo De Caso De Uma Empresa De Petróleo

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