JIT single machine scheduling problem with periodic preventive maintenance

Shahriari, Mohammadreza; Shoja, N.; Zade, Amir Ebrahimi; Barak, Sasan; Sharifi, Mani

doi:10.1007/s40092-016-0147-9

Cited by 19 publications

(10 citation statements)

References 24 publications

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“…Notwithstanding, human reliability has potentials of deepening and changing our insights of maintenance workforce optimisation. However, the literature is awaiting this fulfilment (see Shahriari et al 2016).…”

Section: Introductionmentioning

confidence: 99%

An enhanced reliability-oriented workforce planning model for process industry using combined fuzzy goal programming and differential evolution approach

2017

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This paper draws on the ''human reliability'' concept as a structure for gaining insight into the maintenance workforce assessment in a process industry. Human reliability hinges on developing the reliability of humans to a threshold that guides the maintenance workforce to execute accurate decisions within the limits of resources and time allocations. This concept offers a worthwhile point of deviation to encompass three elegant adjustments to literature model in terms of maintenance time, workforce performance and return-on-workforce investments. These fully explain the results of our influence. The presented structure breaks new grounds in maintenance workforce theory and practice from a number of perspectives. First, we have successfully implemented fuzzy goal programming (FGP) and differential evolution (DE) techniques for the solution of optimisation problem in maintenance of a process plant for the first time. The results obtained in this work showed better quality of solution from the DE algorithm compared with those of genetic algorithm and particle swarm optimisation algorithm, thus expressing superiority of the proposed procedure over them. Second, the analytical discourse, which was framed on stochastic theory, focusing on specific application to a process plant in Nigeria is a novelty. The work provides more insights into maintenance workforce planning during overhaul rework and overtime maintenance activities in manufacturing systems and demonstrated capacity in generating substantially helpful information for practice.

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Section: Introductionmentioning

confidence: 99%

An enhanced reliability-oriented workforce planning model for process industry using combined fuzzy goal programming and differential evolution approach

2017

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“…Khatab et al (2014) have used the genetic algorithms for optimization of selective maintenance of multi-mission systems. In (Shahriari et al 2016), authors have investigated the problem of just-in-time single machine with a cyclic preventive maintenance. In another work, Adeyeri and Mpofu (2017) have developed a system decision support tools for interactive trends monitoring and maintenance in a competitive environment.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Optimization of single outsourcer–single subcontractor outsourcing relationship under reliability and maintenance constraints

Haoues¹,

Dahane²,

Mouss³

2019

J Ind Eng Int

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In this paper, we focus on outsourcing activities optimization problem in single period setting. In some situations, capacity planning or outsourcing is a one-time event and can be modeled as a single period problem. The aim of this research is to balance the trade-off between two echelons of a supply chain consisting of a single outsourcer and a single subcontractor. Each part is composed of a failure-prone single machine that produces one product type to satisfy market requirements. The outsourcer's manufacturing system is not able to satisfy the demand; in this case, outsourcing is allowed to recover the lack of capacity. We consider that the subcontractor can satisfy the demands of strategic clients and rent his machine for the outsourcer under a win-win partnership contract. We assume that the hazard failure rate depends on time and the adopted manufacture rate. When unforeseen failures occur, minimal repairs are implemented. Overhaul can be performed to reduce the degradation effects. Hence, we develop a mathematical model to define a profitability interval so that both parties of supply chain can be considered as winners. We seek to determine the contract parameters that suit both parties (duration, start and end dates, the production and outsourcing rates). Then, we develop an exact algorithm to solve the problem of single period optimization, which offers a better execution time through a series of test problems. Finally, we consider a sensitivity analysis based on outsourcing parameters (cost, periodicities, etc) to analyze their effects on partial costs and individual profit of each part, as well as the total profit generated by the system.

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“…Significant amount of research on allocating limited resources to competing tasks has been reported ( Vanhoucke 2013;Naber and Kolisch 2014;Xu and Feng 2014;Shahriari 2016;Hashemin and Fatemi Ghomi 2012;Garmsiri and Abassi 2012;Yaghoubi et al 2013;Dao et al 2017;Noori-Darvish and Tavakkoli-Moghaddam 2012;Shahriari et al 2016;Ighravwe et al 2016;Garmdare et al 2017). Bulk of this research falls under the general area of Operations Research.…”

Section: Introductionmentioning

confidence: 99%

Flexible resource management and its effect on project cost and duration

Pinha

Ahluwalia

2018

J Ind Eng Int

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In practice, most projects result in cost overruns and schedule slippage due to poor resource management. This paper presents an approach that aims at reducing project duration and costs by empowering project managers to assess different scenarios. The proposed approach addresses combinatorial modes for tasks, multi-skilled resources, and multiple calendars for resources. A case study reported in the literature is presented to demonstrate the capabilities of this method. As for practical implications, this approach enhances the decision-making process which results in improved solutions in terms of total project duration and cost. From an academic viewpoint, this paper adds empirical evidence to enrich the existing literature, as it highlights relevant issues to model properly the complexity of real-life projects.

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JIT single machine scheduling problem with periodic preventive maintenance

Cited by 19 publications

References 24 publications

An enhanced reliability-oriented workforce planning model for process industry using combined fuzzy goal programming and differential evolution approach

An enhanced reliability-oriented workforce planning model for process industry using combined fuzzy goal programming and differential evolution approach

Optimization of single outsourcer–single subcontractor outsourcing relationship under reliability and maintenance constraints

Flexible resource management and its effect on project cost and duration

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