Optimal control of preventive maintenance schedule and safety stocks in an unreliable manufacturing environment

Dohi, Tadashi; Osaki, Shunji

doi:10.1016/s0925-5273(01)00121-9

Cited by 53 publications

(14 citation statements)

References 7 publications

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“…They assumed that production and demand rate are equal in a normal production phase. Dohi et al [14] developed the model theoretically by adding different restrictive assumptions. Giri et al [1] presented an unreliable production-inventory system, which considered exponential failure time while repair time occurs under an NR inventory control policy.…”

Section: Literature Reviewmentioning

confidence: 99%

The Simultaneous Effect of Holding Safety Stock and Purchasing Policies on the Economic Production Quantity Model Subject to Random Machine Breakdown

Deiranlou

Dehghanian

Pirayesh

2019

IJE

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In this paper, we develop an economic production quantity (EPQ) model under machine breakdown and two types of repair (corrective and preventive). also, study the simultaneous effect of holding safety stock and purchasing policy. In order to avoid shortages occurring as a result of the random repair time, in addition to keep safety stock, we suppose that the manufacturer could purchase some quantities from an external supplier. This paper addresses the following question: how the manufacturer determine the optimal values of safety stock, production and purchasing lot sizes, simultaneously, to minimize the expected total cost? The introduced model is then compared with the situations in which the manufacturer only keeps safety stock or just uses an external supplier, respectively. The results through the analysis show that using the simultaneous policy when the system is prone to shortages due to long repair times, have more improvement in the performance of the system rather than using the safety stock or purchasing policies, separately.

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Section: Literature Reviewmentioning

confidence: 99%

The Simultaneous Effect of Holding Safety Stock and Purchasing Policies on the Economic Production Quantity Model Subject to Random Machine Breakdown

Deiranlou

Dehghanian

Pirayesh

2019

IJE

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“…Some other models concerned with inventory control and machine failure have also been investigated, cf. [1,2,12,15,16,17]. Further effect of stochastic machine breakdown was investigated in [3,13,14].…”

Section: Introductionmentioning

confidence: 99%

Optimal Imperfect Production Inventory Model under Joint Effect of Machine Breakdowns and System Reliability

Ghosh¹

2017

APAM

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This paper investigates the role of reliability parameter of the imperfect production system with random machine breakdown and stochastic repair time. Here I assume that shifting time of the production system from 'in-control state' to 'out-control state' and the time of machine breakdown are both random. Moreover, the machine repair time is stochastic and independent of the machine break-down rate. To make the research a more realistic one, a relation between reliability parameter and machine breakdown parameter has been established so, that smaller value of reliability parameter indicates long run of production process, lesser imperfect items and negligible number of machine breakdown. Finally, the model is formulated as a profit maximization problem by considering the reliability parameter and production up time as a decision variables. A numerical example is presented to illustrate the impact of profit with different variables in the model. Also, sensitivity analyses are conducted to show how the model reacts to changes in parameters.

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“…Srinivasan and Lee (1996) developed an EMQ model when the demand is Poisson, processing time follows an arbitrary probability distribution and the failure distribution of the machine is IFR (increasing failure rate). Chung and Hausman (1997) and Dohi et al (2001) investigated the joint implementation of preventive maintenance and safety stocks into an EMQ model. Recently, Giri and Dohi (2005) presented an exact formulation of stochastic EMQ model under a general framework in which the time to machine failure, corrective and preventive repair times all are assumed to follow arbitrary probability distributions.…”

Section: Introductionmentioning

confidence: 99%

Production lot sizing with process deterioration and machine breakdown

Chakraborty

Giri

Chaudhuri

2008

European Journal of Operational Research

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Optimal control of preventive maintenance schedule and safety stocks in an unreliable manufacturing environment

Cited by 53 publications

References 7 publications

The Simultaneous Effect of Holding Safety Stock and Purchasing Policies on the Economic Production Quantity Model Subject to Random Machine Breakdown

The Simultaneous Effect of Holding Safety Stock and Purchasing Policies on the Economic Production Quantity Model Subject to Random Machine Breakdown

Optimal Imperfect Production Inventory Model under Joint Effect of Machine Breakdowns and System Reliability

Production lot sizing with process deterioration and machine breakdown

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