Abdelhakim Khatab

Abdelhakim Khatab

Université de Lorraine

H-index: 23

Europe-France

Abdelhakim Khatab Information

University

Université de Lorraine

Position

___

Citations(all)

1841

Citations(since 2020)

1283

Cited By

1015

hIndex(all)

23

hIndex(since 2020)

18

i10Index(all)

39

i10Index(since 2020)

30

Email

University Profile Page

Université de Lorraine

Abdelhakim Khatab Skills & Research Interests

Reliability

Maintenance

Production management

Sustainability

Top articles of Abdelhakim Khatab

Joint optimization of selective maintenance and repairpersons assignment problem for mission-oriented systems operating under s-dependent competing risks

Mission-oriented systems (MOS) are designed to operate a series of missions seceded by scheduled breaks of limited duration. For MOS, the most appropriate maintenance strategy is the selective maintenance (SM). Under limited maintenance resources, the SM problem (SMP) aims to identify the optimal set of components to maintain in order to meet the required minimum performance for the next missions. However, the majority of the existing SM models merely relies on stochastic independent (s-independent) components. To overcome this restrictive and unrealistic assumption, this work develops a novel SM approach for jointly optimizing SM and repairpersons assignment (RA) problem (RAP) in a MOS operating under s-dependent competing risks. The s-dependent competing risks between components are captured through copula functions whose unknown parameters are estimated by a two-stage …

Authors

Lin Zhang,Xiaohui Chen,Abdelhakim Khatab,Youjun An,XiaoNing Feng

Journal

Reliability Engineering & System Safety

Published Date

2024/2/1

Maintenance Optimization of Multi-Component Systems Subjected to -Dependent Competing Risks and Imperfect Maintenance

This paper develops a novelreliability-based maintenance optimization approach in multi-componentsrepairable system (MCRS) subjected to both -dependent competing risks andimperfect maintenance. The system operates a sequence of preventive maintenance(PM) cycles at the end of which a preventive replacement of the system iscarried out. Duration of each PM cycle is determined by a reliability thresholdwhich triggers either an imperfect PM or a preventive replacement; there are asmuch PM cycles as reliability thresholds. The objective of the proposedmaintenance approach is to determine the joint optimal reliability thresholdsand the number of PM cycles that minimize the total expected maintenance andbreakdown cost rate in the infinite time horizon. Conditions to derive optimalsolutions are formally established and discussed. Given the complexity of theresulting optimization problem, a fix-and …

Authors

Lin Zhang,Abdelhakim Khatab,Xiaohui Chen

Published Date

2023/5/18

A hybrid column-generation and genetic algorithm approach for solving large-scale multimission selective maintenance problems in serial K-out-of-n:G systems

This paper introduces a solution method for the multimission selective maintenance problem (SMP) that combines column-generation (CG) and genetic algorithms (GAs). The multimission SMP is an optimisation problem that arises when a system performs a sequence of missions separated by breaks of finite duration. During these finite breaks, only a subset of possible maintenance actions can be performed due to resource limitations. The problem is in deciding what actions to perform during each break duration such that the system meets or exceeds a minimum target reliability for all missions. The resulting optimisation problems are usually modelled as mixed integer nonlinear mathematical programmes, which are hard to solve. They are usually solved using metaheuristics. We propose a solution method based on CG framework in which the subproblems are solved using a GA. By integrating the GA within the …

Authors

Ryan O'Neil,Claver Diallo,Abdelhakim Khatab,El-Houssaine Aghezzaf

Journal

International Journal of Production Research

Published Date

2023

A critical review of selective maintenance for mission-oriented systems: challenges and a roadmap for novel contributions

The selective maintenance problem (SMP) arises in many mission-oriented multi-component systems that are operated for consecutive missions interspersed with finite breaks, during which only limited component repairs can be performed due to constrained resources. This NP-hard problem decides which components to maintain and to what levels of repair to guarantee a pre-specified performance level during the subsequent mission. Over the last two decades, a sizeable body of literature has been published on this topic. However, the contributions have stagnated in quality, and most articles deal with small to moderate problems. This paper provides a critical review of the SMP literature. A total of 136 research articles related to SMP are reviewed and a selection of key representative models is discussed in detail. This review is framed according to two feature categories: formulation characteristics, composed of …

Authors

Hamzea Al-Jabouri,Ahmed Saif,Abdelhakim Khatab,Claver Diallo,Uday Venkatadri

Published Date

2023/10/20

Branch-and-price algorithms for large-scale mission-oriented maintenance planning problems

This paper presents a novel column-generation-based approach for solving large-scale instances of the joint selective maintenance and repairperson assignment problem (JSM-RAP) for mission-oriented systems in industrial settings. Such systems perform consecutive missions separated by scheduled finite-duration breaks during which some of their components are imperfectly maintained by repairpersons, aiming to maximize system reliability in subsequent missions. The resulting mathematical model is computationally expensive, even for problems of moderate size. The proposed approach decomposes the JSM-RAP into a master problem and multiple subproblems that are solved to generate maintenance patterns, i.e., columns. Two methods are developed to handle the mixed-integer nonlinear subproblems: a piecewise-linear approximation and an exact reformulation into mixed-integer exponential conic …

Authors

Hamzea Al-Jabouri,Ahmed Saif,Claver Diallo,Abdelhakim Khatab

Journal

Computers & Operations Research

Published Date

2023/5

Vertical Drone Delivery: A Multi-Depot VRP with Load-Dependent Energy Consumption

Drones or Unmanned Aerial Vehicles (UAVs) have the potential to modernize and transform the logistics industry. They are compact, highly mobile, economical to operate, and most importantly, have a significantly smaller carbon footprint than traditional means of transportation. As a result, they have the capability to navigate our increasingly congested cities with ease and thus propel us toward a more sustainable and environmentally friendly future. In this study, we develop an energy optimization routing model for vertical drone delivery with load dependent energy consumption in a multi depot setting. We solve a model problem and carry out numerical experiments to understand how different parameters affect the optimization model. Although energy optimization studies have been carried out for drones operating in horizontal planes, we were not able to find much literature about deliveries in vertical planes …

Authors

Viral Sahu,Ryan O'Neil,Abdelhakim Khatab,Claver Diallo,Uday Venkatadri

Published Date

2023/10

Optimisation d’une politique de garantie combinée utilisant des produits remanufacturés

La prise de conscience grandissante de la nécessité de protéger les ressources de la planète et les objectifs de développement durable obligent les fabricants à récupérer et remettre à neuf leurs produits usagés dans le cadre de programmes de responsabilité élargie des producteurs (REP). Afin de prolonger leur cycle de vie, les produits remanufacturés sont renvoyés sur le marché, utilisés comme pièce de rechange ou comme produits de remplacement pour honorer les garanties. Cet article présente deux modèles mathématiques pour déterminer la politique optimale de garantie combinée lorsque des produits remanufacturés sont utilisés pour honorer les garanties tant du point de vue du vendeur que de celui de l'acheteur. Plusieurs applications numériques sont menées pour valider les modèles et déduire des orientations pour la gestion du remanufacturing et des lignes directrices pour les consommateurs. Growing awareness for the need to protect the planet's resources and the Sustainable Development Goals are forcing manufacturers to recover and refurbish their used products under extended producer responsibility (EPR) programs. To extend their life cycle, remanufactured products are returned to the market, used as spare parts or as replacement products to honour warranties. This article presents two mathematical models for determining the optimal combined warranty policy when remanufactured products are used to honour warranties from both the seller's and buyer's perspectives. Several numerical experiments are conducted to validate the models and derive insights for remanufacturing management and develop …

Authors

Luxuan Yveline Gao,Abdelhakim Khatab,Claver Diallo,Uday Venkatadri

Published Date

2023/6

Optimal Selective Maintenance Strategy with Repairperson Workload Balancing

Selective maintenance is a crucial condition-based strategy for maintaining system reliability over a specific mission length while utilizing optimal resources such as manpower, cost, and time. Achieving an optimal strategy for selective maintenance requires a fair distribution of these resources, which can be achieved by incorporating balancing constraints, known as Selective Maintenance with Resource balancing. In this research paper, we focus on optimizing costs, the average working time of different repair crews, number of crews assigned, and performed actions on the system to achieve the required reliability goal using various models, including worker assignment without resource balancing, unique resource balancing target, skill-based resource balancing target, maximum break time utilization target, and skill-based break time utilization targets. Our findings demonstrate the importance of resource …

Authors

Jeel Patel,Ryan O'Neil,Abdelhakim Khatab,Claver Diallo,Uday Venkatadri

Published Date

2023/10

Optimal joint maintenance and orienteering strategy for complex mission-oriented systems: A case study in offshore wind energy

This paper introduces and solves the joint maintenance and orienteering problem with an application to offshore wind farms. The quest for sustainable energy production is fueling the growth of offshore wind electricity generation. Energy producing offshore wind turbines are typically dispersed across several remote wind farms and must be maintained and operated with high reliability levels for long time-periods separated by scheduled maintenance rotations. Due to resource constraints such as travel time, cost, and availability of repair crews, only a subset of turbines and their components can be selected for maintenance operations during maintenance trips. This paper proposes a novel joint maintenance and orienteering framework to address the selection of turbines to visit, the components to maintain, the maintenance levels to be performed, the assignment of repair crews, and their routing with the goal of …

Authors

Ryan O’Neil,Abdelhakim Khatab,Claver Diallo,Uday Venkatadri

Journal

Computers & Operations Research

Published Date

2023/1/1

Distributionally-robust chance-constrained optimization of selective maintenance under uncertain repair duration

The joint selective maintenance and repairperson assignment problem with uncertain duration of maintenance actions is studied in this paper. This problem arises in mission-oriented assets that perform sequences of missions interspersed with scheduled pauses to allow maintenance activities. The goal is to find the optimal subset of components to maintain and the maintenance level to be carried out by each repairperson that maximizes system reliability for the following mission. We first reformulate the complex objective function via single-variable concave functions before applying piecewise-linear approximation. This tight approximation enables large instances of the problem to be solved efficiently. We also consider the commonly encountered case of probabilistic maintenance duration with their distributions estimated from limited historical data samples. Distributionally-robust chance constraints (DRCCs) are …

Authors

Hamzea Al-Jabouri,Ahmed Saif,Claver Diallo,Abdelhakim Khatab

Journal

Expert Systems with Applications

Published Date

2023/10

Optimizing Selective Maintenance Problem In Mission-Oriented Systems Under Repairpersons Availability

Mission-oriented industrial systems are designed to operate a sequence of alternate missions and scheduled breaks. During breaks, maintenance tasks are usually carried out to improve the system's performance for the next mis-sions. Given the limited length of breaks as well as other maintenance resources, only a subset of components set can be maintained. Therefore, there is a need to select components to maintain in order to meet the required performance of the system during the next mission. This maintenance strategy is referred to in the literature as the selective maintenance problem (SMP). The existing selective maintenance models assume that repairpersons are always available to carry out their tasks. The present work aims to relax this assumption and to develop a novel SMP formulation for mission-oriented systems under a planing horizon composed of several missions. Genetic algorithm is used to …

Authors

Abdelhakim Khatab,Kenza Chaabane,Claver Diallo,E-H Aghczzaf,Uday Venkatadri

Published Date

2022/5/17

Optimizing imperfect preventive maintenance in multi-component repairable systems under s-dependent competing risks

Existing maintenance optimization models for single-component repairable systems are extensively studied. However, maintenance optimization in multicomponent reparable systems (MCRS) is still a challenging problem, especially when dealing with stochastic dependent (s-dependent) competing risks between components. This paper develops a novel reliability-centered maintenance optimization model for MCRS operating under s-dependent competing risks. The s-dependency is captured by the joint reliability function constructed using Copula method and unknown parameters are estimated by maximum likelihood estimations (MLE). Maintenance strategies are carried out both at components and system levels. At components level, a preventive maintenance (PM) is performed whenever the reliability of the MCRS reaches a given threshold. PM actions are imperfect and modeled using the hybrid hazard rate …

Authors

Lin Zhang,Xiaohui Chen,Abdelhakim Khatab,Youjun An

Journal

Reliability Engineering & System Safety

Published Date

2022/3/1

Optimization of the integrated fleet-level imperfect selective maintenance and repairpersons assignment problem

Industrial environments such as manufacturing and transportation industries usually involve fleets of identical systems that must carry out several missions interspersed with scheduled finite breaks. Given the limited amount of maintenance resources and time available, only a restricted number of maintenance actions can be performed on selected components to ensure a pre-specified performance level of the fleet for the next mission. Such a maintenance strategy is known as fleet-level selective maintenance (FSM). The FSM is more complex than the selective maintenance problem as it adds the total number of systems in the fleet as another level of combinations to be explored during the optimization process. Most FSM models consider the replacement or perfect repair of system components as the only maintenance option. Furthermore, they consider a single repair channel and disregard the assignment …

Authors

Abdelhakim Khatab,Claver Diallo,E-H Aghezzaf,Uday Venkatadri

Journal

Journal of Intelligent Manufacturing

Published Date

2022/3/1

A novel predictive selective maintenance strategy using deep learning and mathematical programming

Many systems are required to perform a series of missions with finite breaks between successive missions. For such systems, one of the most widely used maintenance strategies is selective maintenance (SM). Under certain maintenance constraints, the SM problem (SMP) consist in selecting an optimal subset of feasible maintenance actions to maximize the system reliability for the upcoming mission. Almost all SMP models proposed in the literature are focused on traditional physics-based reliability models, where component lifetimes can be modeled using a stochastic process. With the application of new technologies such as wireless sensors and Industrial Internet of Things (IIoT), and the recent advancements in Deep Learning (DL) algorithms for prognostics, predictive maintenance based on data-driven methods has become a very popular maintenance strategy. These data driven methods have shown …

Authors

Ryan O'Neil,Claver Diallo,Abdelhakim Khatab

Journal

IFAC-PapersOnLine

Published Date

2022/1/1

Selective maintenance optimization: a condensed critical review and future research directions

The selective maintenance problem (SMP) arises in many multi-component systems that are operated for consecutive missions interspersed with finite breaks during which only a selected set of component repairs or replacements can be carried out due to limited time, budget, or resources. This NP-hard problem decides which components to select and which degree of repairs should be performed on the selected components to guarantee a pre-specified performance level during the subsequent mission. Over the last two decades, a sizeable literature has been published in this research area. However, the contributions have been stagnating and most articles deal with small to moderate size problems. This paper provides a comprehensive critical review of studies in the field. In the first part of the paper, system characteristics, maintenance characteristics, and model characteristics are discussed. In the second part …

Authors

Hamzea Al-Jabouri,Ahmed Saif,Abdelhakim Khatab,Claver Diallo,Uday Venkatadri

Published Date

2022/1/1

An integrated single-item lot-sizing problem in a two-stage industrial symbiosis supply chain with stochastic demands

We consider a two-stage supply chain in which two production plants are collaborating in an industrial symbiosis to satisfy their respective stochastic demands. We formulate the production planning problems of these two plants as an integrated capacitated lot-sizing problem, in which the second production plant uses as an alternative raw material a by-product obtained as a residue from the production of the first plant. The goal is to minimize the overall total cost in the supply chain, including production and inventory of the final product and by-product transfer costs, while meeting the stochastic demands. First, a natural formulation of the problem is proposed, and is solved using the Sample Average Approximation (SAA) method. The analysis of the gaps exhibits however quite large optimality gaps. To improve these optimality gaps, a plant location like reformulation for this integrated lot-sizing problem is …

Authors

Cheshmeh Chamani,El-Houssaine Aghezzaf,Abdelhakim Khatab,Birger Raa,Yogang Singh,Johannes Cottyn

Published Date

2021/8/31

STATISTICAL ANALYSIS OF THE PRESIDENT’S SPEECHES DELIVERED FROM 2013 TO 2018

This paper investigates a corpus of 60 speeches that president produced during his firstquinquennial between 2013 and 2018. Subsequently, a novel quantitative analysis based on descriptive and factorial methods are implemented on this corpus. These methods allow us to make an appraisal of president style of speaking, the vocabulary density, the diversity, the complexity and the lexical richness of sentences by using statistics and complexity indexes. Moreover, the readability and the intelligibility of the president speeches are analyzed for Malian people by use of statistical and graphical visualizing methods. Accordingly, this analysis measures the originality of the president’s spoken words response to Malian social context characterized by the weakness of the government authority, the increase of insecurity and terrorism, the corruption of the public finance workers and the deterioration of the economic indicators such as the youth unemployment, the lack of valuable creation by service and production industries and their consequences on the Gross Domestic Product (GDP) and the poverty index. To perform these analyses, the corpus is therefore transformed into Term Document Matrix (TDM), which is a contingency table between speech and word counts. These analyses underline that the president usually delivered speeches with a high complexity (similar to Marcel Proust text) whose message content is unintelligible and incomprehensible for most Malian.

Authors

Arouna SOUGANE,Imene DJELLOUL,Abdelhakim KHATAB

Journal

Recherches Africaines

Published Date

2021

An artificial immune system algorithm for solving the uncapacitated single allocation p-Hub median problem

The present paper deals with a variant of hub location problems (HLP): the uncapacitated single allocation p-Hub median problem (USApHMP). This problem consists to jointly locate hub facilities and to allocate demand nodes to these selected facilities. The objective function is to minimize the routing of demands between any origin and destination pair of nodes. This problem is known to be NP-hard. Based on the artificial immune systems (AIS) framework, this paper develops a new approach to efficiently solve the USApHMP. The proposed approach is in the form of a clonal selection algorithm (CSA) that uses appropriate encoding schemes of solutions and maintains their feasibility. Comprehensive experiments and comparison of the proposed approach with other existing heuristics are conducted on benchmark from civil aeronautics board, Australian post, PlanetLab and Urand data sets. The results obtained allow to demonstrate the validity and the effectiveness of our approach. In terms of solution quality, the results obtained outperform the best-known solutions in the literature.

Authors

Fatima Zahraa Grine,Oulaid Kamach,Abdelhakim Khatab,Naoufal Sefiani

Journal

International Journal of Electrical & Computer Engineering

Published Date

2021

Robust closed-loop supply chain design with presorting, return quality and carbon emission considerations

In closed-loop supply chain (CSLC) networks, low return quality reduces the number of usable cores and hence affects the strategic decision of facility location and sizing. This problem can be overcome by adding presorting centers in the CLSC network since presorting costs are typically lower than the costs incurred at subsequent processing stages. Presorting centers can separate poor quality products at the start of the reverse logistics cycle and reduce transportation costs and emissions. In this paper, a deterministic mathematical model and its robust variant are proposed to investigate the effects of the quality of returns on the CLSC network under the carbon cap (CC) and carbon cap-and-trade (CCT) policies. Numerical experiments conducted with data from a real resource recovery company show the effects of varying return quality on total emissions and profit, the impact of presorting center efficiency and …

Authors

Christian N Samuel,Uday Venkatadri,Claver Diallo,Abdelhakim Khatab

Journal

Journal of cleaner production

Published Date

2020/2/20

Joint optimization of dynamic lot-sizing and condition-based maintenance

This study investigates the dynamic lot-sizing problem integrated with Condition-based maintenance (CBM) for a stochastically deteriorating production system. The main difference of this work and the previous literature on the joint optimization of lot-sizing and CBM is the relaxation of the constant demand assumption. In addition, the influence of the lot-size quantity on the evolution of the equipment degradation is considered. To optimally integrate production and maintenance, a stochastic dynamic programming model is developed that optimizes the total expected production and maintenance cost including production setup cost, inventory holding cost, lost sales cost, preventive maintenance cost and corrective maintenance cost. The algorithm is run on a set of instances and the results show that the joint optimization model provides considerable cost savings compared to the separate optimization of lot-sizing and CBM.

Authors

Alp Darendeliler,Dieter Claeys,Abdelhakim Khatab,El-Houssaine Aghezzaf

Published Date

2020

Integrated imperfect multimission selective maintenance and repairpersons assignment problem

This paper presents a new variant of the selective maintenance problem (SMP) to jointly optimize the maintenance planning and resource allocation problems for multiple missions. The classical SMP deals with components and maintenance level selection with the aim of maximizing the system reliability given limited budget and break duration. Of the few papers dealing with the multimission SMP, none addresses the repairperson assignment problem. This work develops an SMP model for jointly optimizing maintenance and assignment decisions in a system running multiple missions. The resulting SMP addresses five joint decisions: selection of components to maintain, selection of maintenance levels performed on the selected components, identification of breaks where maintenance tasks are performed, repairpersons selection, and maintenance tasks assignment to selected repairpersons. The objective is to …

Authors

Kenza Chaabane,Abdelhakim Khatab,Claver Diallo,E-H Aghezzaf,Uday Venkatadri

Journal

Reliability Engineering & System Safety

Published Date

2020/7/1

Selective maintenance optimization problem in systems under repairpersons availability

Industrial systems are sometimes designed to operate their missions with finite breaks scheduled between two consecutive missions. During the break, maintenance actions can be carried out. Given the limited break duration, in addition to other limited maintenance resources, not all components can be maintained. To meet the required performance of the system during the next mission, it is often required to select components to be maintained. This decision making problem is known as the selective maintenance problem (SMP). In the literature, the existing SM models merely rely on the assumption that repair channels are always available to perform their maintenance duties. The present paper introduces a novel and more realistic formulation of the SMP where the unavailability of the repair channels is accounted for. Two integrated non-linear programming models are developed and solved, without loss of …

Authors

Kenza Chaabane,Abdelhakim Khatab,Claver Diallo,Uday Venkatadri,E-H Aghezzaf

Published Date

2020/6/29

Optimal Selective Maintenance for Systems Operating Under Random Environments

This paper proposes a new variant of the joint selective maintenance and repair person assignment problem (SM&RAP) in multicomponent systems. The system carry out missions under random operating environments (OE). Between consecutive missions there are scheduled breaks of finite length within which maintenance actions are performed. Current selective maintenance (SM) models assume that the OE is static and does not change over the course of a mission. However, many mission critical systems are subjected to harsh and varying OE which impacts the mission success probability. This paper develops a new SM optimization model in systems under a random OE. The OE randomness is modeled as a random shock process, and the occurrence of a shock directly impacts the failure process of the components. A nonlinear SM optimization model along with its binary integer programming version are …

Authors

Abdelhakim Khatab,Claver Diallo,Uday Venkatadri,El Houssaine Aghezzaf

Published Date

2020/9

Abdelhakim Khatab FAQs

What is Abdelhakim Khatab's h-index at Université de Lorraine?

The h-index of Abdelhakim Khatab has been 18 since 2020 and 23 in total.

What are Abdelhakim Khatab's top articles?

The articles with the titles of

Joint optimization of selective maintenance and repairpersons assignment problem for mission-oriented systems operating under s-dependent competing risks

Maintenance Optimization of Multi-Component Systems Subjected to -Dependent Competing Risks and Imperfect Maintenance

A hybrid column-generation and genetic algorithm approach for solving large-scale multimission selective maintenance problems in serial K-out-of-n:G systems

A critical review of selective maintenance for mission-oriented systems: challenges and a roadmap for novel contributions

Branch-and-price algorithms for large-scale mission-oriented maintenance planning problems

Vertical Drone Delivery: A Multi-Depot VRP with Load-Dependent Energy Consumption

Optimisation d’une politique de garantie combinée utilisant des produits remanufacturés

Optimal Selective Maintenance Strategy with Repairperson Workload Balancing

...

are the top articles of Abdelhakim Khatab at Université de Lorraine.

What are Abdelhakim Khatab's research interests?

The research interests of Abdelhakim Khatab are: Reliability, Maintenance, Production management, Sustainability

What is Abdelhakim Khatab's total number of citations?

Abdelhakim Khatab has 1,841 citations in total.

What are the co-authors of Abdelhakim Khatab?

The co-authors of Abdelhakim Khatab are Mustapha Nourelfath, Nidhal REZG, Uday Venkatadri, Claver Diallo, sofiene DELLAGI, Chi Hieu LE.

    Co-Authors

    H-index: 38
    Mustapha Nourelfath

    Mustapha Nourelfath

    Université Laval

    H-index: 33
    Nidhal REZG

    Nidhal REZG

    Université de Lorraine

    H-index: 25
    Uday Venkatadri

    Uday Venkatadri

    Dalhousie University

    H-index: 22
    Claver Diallo

    Claver Diallo

    Dalhousie University

    H-index: 18
    sofiene DELLAGI

    sofiene DELLAGI

    Université de Lorraine

    H-index: 18
    Chi Hieu LE

    Chi Hieu LE

    Greenwich University

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