Integrated maintenance planning and production scheduling with Markovian deteriorating machine conditions

Bajestani, Maliheh Aramon; Banjević, Dragan; Beck, J. Christopher

doi:10.1080/00207543.2014.931609

Cited by 72 publications

(39 citation statements)

References 33 publications

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“…The most interesting extension is to model problem characteristics such as customer orders, machine state, and the effect of maintenance on machine state as stochastic variables, requiring a combination of tools from stochastic maintenance planning (Sloan 2004(Sloan , 2008Nicolai and Dekker 2008) and stochastic scheduling (Cai et al 2003(Cai et al , 2004Beck and Wilson 2007). For work in this direction, see Aramon Bajestani et al (Aramon Bajestani et al 2014).…”

Section: Discussionmentioning

confidence: 99%

A two-stage coupled algorithm for an integrated maintenance planning and flowshop scheduling problem with deteriorating machines

Bajestani

Beck

2015

J Sched

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We address a novel integrated maintenance and production scheduling problem in a multi-machine and multi-period production system, considering maintenance as a long-term decision. Deterioration of machines over time decreases production capacity. Since maintenance activities not only improve machine conditions, increasing production capacity, but also take time that cannot be used for production, the challenge is to assign maintenance to periods and to schedule maintenance and production activities within each period to minimize the combined cost of maintenance and lost production over the planning horizon. Motivated by logic-based Benders decomposition, we design an integrated two-stage algorithm to solve the problem. The first stage assigns maintenance to machines and time periods, abstracting the scheduling problem, while the second stage creates a schedule for the current time period. The first stage is then re-solved using feedback from the schedule. This iteration between maintenance planning and scheduling continues until the solution costs in two stages converge. The integrated approach models the interdependencies between maintenance and scheduling decisions in highly coupled processes such as wafer fabrication in the semiconductor manufacturing. Our results demonstrate that the benefit of integrated decision making increases when maintenance is less expensive relative to lost production cost and that a longer horizon for maintenance planning is beneficial when maintenance cost increases.

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Section: Discussionmentioning

confidence: 99%

A two-stage coupled algorithm for an integrated maintenance planning and flowshop scheduling problem with deteriorating machines

Bajestani

Beck

2015

J Sched

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“…Adaptive or integrating scheduling approaches and methods are also presented, taken into account the generated data from the different smart objects and systems. In [29], an integrated approach for production and maintenance planning is presented, considering the condition of the machines.…”

Section: State Of the Artmentioning

confidence: 99%

Metrics definition for the product-service system complexity within mass customization and industry 4.0 environment

Mourtzis

Fotia

Boli

2017

2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)

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The design and evaluation of Product-Service Systems (PSS) constitute a challenging problem due to its multidimensionality. This challenge becomes bigger when the PSS customization is required, within the new manufacturing paradigm of Industry 4.0. Nevertheless, the literature work regarding the customization of PSS and the PSS investigation within the Industry 4.0 is rare. Towards bridging these gaps, the present research work proposes a methodology for the quantification of PSS customization complexity, considering Industry 4.0 aspects. The proposed metrics are validated in different product-service scenarios.

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“…Then, the authors of reference [2] studied the integration of scheduling decisions in the case of a single machine for production and maintenance operations to, simultaneously; minimise production costs and maintenance costs. In addition, [3,4] treated maintenance and production management in a joint way. Based on a semi-Markovian decision process and the stochastic dynamic programming method, the authors in [5] presented a model of interaction between maintenance and production.…”

Section: Introductionmentioning

confidence: 99%

Integration of maintenance and production strategies under subcontracting constraint: Classification and opportunity

Hafidi¹,

Barkany²,

Mahmoudi³

2017

J. MECH. ENG. SCI.

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The main concern of the manufacturing industry is maintaining the tools of production so that they are in good working order. However, the maintenance and production functions are linked because the integrated management of these two functions is necessary for the efficient operation of the means of production. In fact, when the demand exceeds the maximum production capacity, the company takes on subcontracting to meet the needs of the customers. The objective of this research is to identify the current and future direction of research in this field according to the different classification criteria proposed. In this paper, firstly, the different approaches of maintenance integrated into production systems are presented. Secondly, the models that deal with joint maintenance management and subcontracting production as a solution that aligns with the company's strategic objectives are discussed as well as the resolution and management approaches that integrated problem optimisation. Finally, a comparative study of existing approaches was conducted and their purpose analysed. As perspective, we will propose and implement in our future research a model and powerful tool to establish a better policy of maintenance integrated to the production using subcontracting.

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Integrated maintenance planning and production scheduling with Markovian deteriorating machine conditions

Cited by 72 publications

References 33 publications

A two-stage coupled algorithm for an integrated maintenance planning and flowshop scheduling problem with deteriorating machines

A two-stage coupled algorithm for an integrated maintenance planning and flowshop scheduling problem with deteriorating machines

Metrics definition for the product-service system complexity within mass customization and industry 4.0 environment

Integration of maintenance and production strategies under subcontracting constraint: Classification and opportunity

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