Economic production quantity with maintenance interruptions under random and correlated yields

Nasr, Walid W.; Salameh, Moueen K.; Moussawi-Haidar, Lama

doi:10.1080/00207543.2016.1265684

Cited by 18 publications

(8 citation statements)

References 28 publications

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“…Still, the impact of demand rate, fabrication setup, and serviceable holding costs on the optimal cost is significant. Nasr et al [15] studied an EPQ model with defective items where the quality of products made in the same fabrication run is correlated. The authors explored the scheduled maintenance and fabrication policies for such a correlated binomial fabrication system.…”

Section: Introductionmentioning

confidence: 99%

The influence of expedited fabrication rate, unreliable machines, scrap, and rework on the production runtime decision in a vendor-buyer coordinated environment

Peter

Wang²,

Chiu

et al. 2021

J Appl Eng Science

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Transnational manufacturing firms operate in highly competitive marketplaces. This means that they are continuously seeking ways to reduce order response and fabrication cycle times, maintain the desired product quality, manage unanticipated machine failures, and provide timely delivery to effectively minimize overall operating cost and maintain a competitive advantage over their intra-supply chains. To assist firms in achieving these operational goals, we examine a buyer-vendor coordinated system with an expedited fabrication rate, unreliable machines, scrap, and rework, with the objective of minimizing the overall operating costs. An imperfect manufacturing process is assumed, which arbitrarily produces repairable and scrap items, with the latter being reworked in each fabrication cycle. Additionally, the process is subject to a Poisson-distributed machine breakdown. The corrective action is undertaken immediately when the machine fails, and the production of unfinished/interrupted lot resumes when the process is restored. The expedited fabrication rate option is used at an extra cost to reduce the cycle length. We built a fabrication-shipment model to characterize the problem’s features explicitly. Mathematical and optimization approaches assist us in determining the optimal fabrication runtime policy. A numerical example illustrates the capability/applicability of our outcomes. Furthermore, it exposes a diverse set of information relating to the collective/individual effect of differences in the expedited rates, mean-time-to-breakdown, frequency of shipment, and rework/disposal rates of defective items on the optimal policy, utilization, total operating cost, and various cost contributors. This information can contribute to facilitating better decision-making.

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Section: Introductionmentioning

confidence: 99%

The influence of expedited fabrication rate, unreliable machines, scrap, and rework on the production runtime decision in a vendor-buyer coordinated environment

Peter

Wang²,

Chiu

et al. 2021

J Appl Eng Science

View full text Add to dashboard Cite

show abstract

“…Mokhtari and Rezvan [13] studied an EPQ model for multi-buyers and multiproducts under partial backordering. Nasr et al [14] proposed an EPQ model with maintenance and defective items where all defective items should be removed at the end of cycle. Moreover, Karmakar et al [15] proposed a pollution sensitive fuzzy EPQ model with a time dependent rate of production.…”

Section: Introductionmentioning

confidence: 99%

Extended Economic Production Quantity Models with Preventive Maintenance

Mokhtari

Asadkhani

2019

Scientia Iranica

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“…A mutation rate helps to minimise the distortion of individuals with highly fit characteristics (Engelbrecht 2007). Michalewicz (1996) presented an expression for generating a mutant vector (x 0 1g ) as Eq. (40).…”

Section: Genetic Algorithmmentioning

confidence: 99%

“…Its implementation procedures are similar to other evolutionary algorithms (such as differential evolution). These procedures are mutation, reproduction and selection operations (Michalewicz, 1996;Engelbrecht 2007;Jebari and Madiafi 2013):…”

Section: Genetic Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

A Mixed-integer Multi-objective Maintenance and Production Workforce Planning Model

Ighravwe

Oke

2017

Process Integr Optim Sustain

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This study tackles the dilemma of producing a cooperative workforce planning involving maintenance and production departments. Its focus is on instituting workforce equilibrium between maintenance and production departments. This is necessary in order to ensure the optimal utilisation of manufacturing resources (time, equipment and funds). This maintenance-production problem was modelled using a mixed-integer multi-objective approach. The model minimises the workforce, rework and scrap, inventory holding cost and machine usage costs while maximising the average achieved machine availability. The model accounts for expected products' demand, the amount of expected defective products, workforce size, rest period and finished good inventory. Due to the nonlinear relationships among the maintenanceproduction variables, a big bang-big crunch (BB-BC) algorithm and genetic algorithm (GA) were selected as solution methods for the model. The proposed model performance was validated in a household utensils manufacturing plant under the conditions of workers' rest and without rest periods considerations. Based on the results obtained, the BB-BC algorithm performed better than the GA in terms of fitness function and computational time. The model performance with workers' rest period consideration generated higher achieved machine availability value than when workers' rest period was not considered. The optimised maintenance-production variables results confirmed the model's capability to generate acceptable solutions for the case study.

show abstract

Economic production quantity with maintenance interruptions under random and correlated yields

Cited by 18 publications

References 28 publications

The influence of expedited fabrication rate, unreliable machines, scrap, and rework on the production runtime decision in a vendor-buyer coordinated environment

The influence of expedited fabrication rate, unreliable machines, scrap, and rework on the production runtime decision in a vendor-buyer coordinated environment

Extended Economic Production Quantity Models with Preventive Maintenance

A Mixed-integer Multi-objective Maintenance and Production Workforce Planning Model

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