A Hybrid of Variable Neighbor Search and Fuzzy Logic for the permutation flowshop scheduling problem with predictive maintenance

Ladj, Asma; Tayeb, Fatima Benbouzid-Si; Varnier, Christophe; Dridi, Ali Ayoub; Selmane, Nacer

doi:10.1016/j.procs.2017.08.120

Cited by 28 publications

(18 citation statements)

References 15 publications

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“…The solution contains two methods mixed-integer linear programming and pro-genetic algorithms, and took into consideration the consumption of each job in terms of degradation. Later, the same authors in (Ladj, Benbouzid-Si Tayeb, Varnier, Dridi, & Selmane, 2017) proposed a method for jointly planning production and maintenance activities based on prognostic information in the case of permutation flow-shop scheduling problems. The predicted RUL and degradation values are associated with each machine when processing each kind of job.…”

Section: Mission or Production Planning Jointly With Maintenancementioning

confidence: 99%

Review of Post-Prognostics Decision-Making in Prognostics and Health Management

Bougacha

Varnier

Zerhouni

2021

IJPHM

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Mainly, the prognostics and health management (PHM) process is based on three processes: the data acquisition and health assessment process in which sensors signals are acquired and processed, the diagnostic and prognostic process in which the source of failure is detected and the remaining useful life (RUL) is predicted and finally the decision- making process that refers to the term management in prognostics and health management. This paper reviews in the literature about the different aspects of decision-making in the context of PHM. The selected papers are subject to con- tent assessment and grouped according to the decision type. Additionally, this paper presents a synthesis of the previous works that helps identify new trends and deficiencies in the decision-making process. The synthesis can guide efforts for future work.

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Section: Mission or Production Planning Jointly With Maintenancementioning

confidence: 99%

Review of Post-Prognostics Decision-Making in Prognostics and Health Management

Bougacha

Varnier

Zerhouni

2021

IJPHM

Self Cite

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“…The proposed heuristic aims at finding optimal starting times for PdM actions as well as the production jobs. Ladj et al [14] pursued a similar approach as Fitouri et al [13] and studied the operation-specific degradation of a single machine. The cumulative degradation of each operation is calculated using Eq.…”

Section: Literature Reviewmentioning

confidence: 99%

Predictive maintenance integrated production scheduling by applying deep generative prognostics models: approach, formulation and solution

Zhai

Kandemir

Reinhart

2021

Prod. Eng. Res. Devel.

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To harness the full potential of predictive maintenance (PdM), PdM information has to be used to optimally plan production and maintenance actions. Hence, operation-specific modelling of degradation, i.e. predictions of the health condition under time-varying operational conditions, has to be realized. By utilizing operation-specific degradation information, maintenance and production can be planned with regard to each other and thus, predictive maintenance integrated production scheduling (PdM-IPS) is enabled. This publication proposes a novel PdM-IPS approach consisting of two interacting modules: an operation-specific Prognostics and Health Management (PHM) module and an integrated production scheduling and maintenance planning (IPSMP) module. Specifically, the mathematical problem of the IPSMP module based on an extended version of the maintenance integrated flexible job shop problem is formulated. A two-stage genetic algorithm to efficiently solve this problem is designed and subsequently applied to simulated condition monitoring, as well as real industrial data. Results indicate that the approach is able to find feasible high quality PdM integrated production schedules.

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“…Possibility distributions are used to describe the imprecision in the expert statements" [40]. Ladj et al (2017) proposed "a new interpretation of PHM outputs to define machine degradations that are corresponding to each job. Moreover, to consider several sources of uncertainty in the prognosis process, the authors choose to model PHM outputs using fuzzy logic.…”

Section: Fuzzy Inference System (Fis) and Fuzzy Petri Netsmentioning

confidence: 99%

“…Moreover, to consider several sources of uncertainty in the prognosis process, the authors choose to model PHM outputs using fuzzy logic. Motivated by the computational complexity of the problem, Variable Neighbourhood Search (VNS) methods are developed, including well-designed local search procedures" [41]. Touat et al (2017) mentioned that "to solve the problem, we developed two fuzzy genetic algorithms that are based on respectively the sequential and total scheduling strategies.…”

Section: Fuzzy Inference System (Fis) and Fuzzy Petri Netsmentioning

confidence: 99%

Increasing the Reliability of an Electrical Power System in a Big European Hospital through the Petri Nets and Fuzzy Inference System Mamdani Modelling

et al. 2021

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The big hospitals’ electricity supply system’s reliability is discussed in this article through Petri nets and Fuzzy Inference System (FIS). To simulate and analyse an electric power system, the FIS Mamdani in MATLAB is implemented. The advantage of FIS is that it uses human experience to provide a faster solution than conventional techniques. The elements involved are the Main Electrical Power, the Generator sets, the Automatic Transfer Switches (ATS), and the Uninterrupted Power Supply (UPS), which are analysed to characterize the system behaviour. To evaluate the system and identified the lower reliability modules being proposed, a new reliable design model through the Petri Nets and Fuzzy Inference System approach. The resulting approach contributes to increasing the reliability of complex electrical systems, aiming to reduce their faults and increase their availability.

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A Hybrid of Variable Neighbor Search and Fuzzy Logic for the permutation flowshop scheduling problem with predictive maintenance

Cited by 28 publications

References 15 publications

Review of Post-Prognostics Decision-Making in Prognostics and Health Management

Review of Post-Prognostics Decision-Making in Prognostics and Health Management

Predictive maintenance integrated production scheduling by applying deep generative prognostics models: approach, formulation and solution

Increasing the Reliability of an Electrical Power System in a Big European Hospital through the Petri Nets and Fuzzy Inference System Mamdani Modelling

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