On a production-inventory system of deteriorating items subject to random machine breakdowns with a fixed repair time

Lin, Gary; Gong, Dah-Chuan

doi:10.1016/j.mcm.2005.12.013

Cited by 63 publications

(28 citation statements)

References 34 publications

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“…This research extended the work of Lin and Gong (2006) by introducing a production reorder point to help reduce the expected value of the total cost per unit time. From numerical analysis, it has been found that the production reorder point had significant impact on the total cost function.…”

Section: Conclusion and Recommendationsmentioning

confidence: 98%

“…Finally, from the total inventory cost expression they derived expression for optimal number of production setups that minimize the total cost. Lin and Gong (2006) considered the impact of random machine breakdowns on the classical economic production quantity (EPQ) model for an item subject to exponential decay and under a no-resumption (NR) inventory control policy. They assumed constant demand rate, finite production rate, fixed repair time and infinite planning horizon.…”

Section: Introductionmentioning

confidence: 99%

“…Finally, the authors used classical optimization procedure to derive an optimal solution for the proposed model. The motivation of the research work presented in this paper comes from past research works of Widyadana and Wee (2011) and Lin and Gong (2006). In fact, Li and Gong (2006) derived their model by considering fixed repair time whereas, Widyadana and Wee (2011) derived their model for stochastic repair time but they did not depict all possible scenarios of the stochastic repair time.…”

Section: Introductionmentioning

confidence: 99%

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An integrated production inventory model of deteriorating items subject to random machine breakdown with a stochastic repair time

Luong¹,

Karim²

2017

10.5267/j.ijiec

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In a continuous manufacturing environment where production and consumption occur simultaneously, one of the biggest challenges is the efficient management of production and inventory system. In order to manage the integrated production inventory system economically it is necessary to identify the optimal production time and the optimal production reorder point that either maximize the profit or minimize the cost. In addition, during production the process has to go through some natural phenomena like random breakdown of machine, deterioration of product over time, uncertainty in repair time that eventually create the possibility of shortage. In this situation, efficient management of inventory & production is crucial. This paper addresses the situation where a perishable (deteriorated) product is manufactured and consumed simultaneously, the demand of this product is stable over the time, machine that produce the product also face random failure and the time to repair this machine is also uncertain. In order to describe this scenario more appropriately, the continuously reviewed Economic Production Quantity (EPQ) model is considered in this research work. The main goal is to identify the optimal production uptime and the production reorder point that ultimately minimize the expected value of total cost consisting of machine setup, deterioration, inventory holding, shortage and corrective maintenance cost.

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Section: Conclusion and Recommendationsmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An integrated production inventory model of deteriorating items subject to random machine breakdown with a stochastic repair time

Luong¹,

Karim²

2017

10.5267/j.ijiec

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“…The development of an appropriate recovery policy can help to minimize the loss and maintain the goodwill of the company. Lin and Gong [5] analysed the impact of machine breakdown on EPQ model for deteriorating items in a single stage production system with fixed period of repair time. Widyadana and Wee [6] extended the model of Lin and Gong [5] for deteriorating items with random machine breakdown and stochastic repair time with uniform and exponential distribution.…”

Section: Introductionmentioning

confidence: 99%

“…Lin and Gong [5] analysed the impact of machine breakdown on EPQ model for deteriorating items in a single stage production system with fixed period of repair time. Widyadana and Wee [6] extended the model of Lin and Gong [5] for deteriorating items with random machine breakdown and stochastic repair time with uniform and exponential distribution. A disruption recovery model for single stage and single item production system is developed by Hishamuddin et al [7] and the model was formulated for a single disruption, for recovering within a given time window, considering back order as well as lost sales option.…”

Section: Introductionmentioning

confidence: 99%

A Disruption Recovery Model in a Production-Inventory System with Demand Uncertainty and Process Reliability

Paul

Sarker

Essam

2013

Computer Information Systems and Industrial Management

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Abstract. This paper develops a risk management tool for a productioninventory system that involves an imperfect production process and faces production disruption and demand uncertainty. In this paper, the demand uncertainty is represented as fuzzy variable and the imperfectness is expressed as process reliability. To deal with the production scheduling in this environment, a non-linear constrained optimization model has been formulated with an objective of maximizing the graded mean integration value (GMIV) of the total expected profit. The model is applied to solve the production-inventory problem with single as well as multiple disruptions on a real time basis that basically revises the production quantity in each cycle in the recovery time window. We propose a genetic algorithm (GA) based heuristic to solve the model and obtain an optimal recovery plan. A numerical example is presented to explain usefulness of the developed model.

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Maintenance and Production: A Review of Planning Models

Budai

Dekker

Nicolai

Springer Series in Reliability Engineering

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On a production-inventory system of deteriorating items subject to random machine breakdowns with a fixed repair time

Cited by 63 publications

References 34 publications

An integrated production inventory model of deteriorating items subject to random machine breakdown with a stochastic repair time

An integrated production inventory model of deteriorating items subject to random machine breakdown with a stochastic repair time

A Disruption Recovery Model in a Production-Inventory System with Demand Uncertainty and Process Reliability

Maintenance and Production: A Review of Planning Models

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