Papers by Abdellah El Barkany
Management and Production Engineering Review
In this article we present an industrial application of our mathematical model that integrates pl... more In this article we present an industrial application of our mathematical model that integrates planning and scheduling. Our main objective is to concretize our model and compare the reel results with the theoretical ones. Our application is realized on a conditioning line of pharmaceutical products at the ECAM EPMI production laboratory. For this reason and to save time, we used Witness simulation tool. It gives an overall idea of how the line works, the Makespan of each simulation and it highlights areas for improvement. We looked for the best resulting sequence which corresponds to the minest Makespan and total production cost. Then this sequence is applied on the conditioning line of pharmaceutical products for simulation. On the other hand, we program our mathematical model with the parameters of the conditioning line under python in version 3.6 and we adopt a simulation/optimization coupling approach to verify our model.
Optimization of Fresh Food Distribution Route Using Genetic Algorithm with the Best Selection Technique
Engineering, 2013
In this paper we present a multi-optimization technique based on genetic algorithms to search opt... more In this paper we present a multi-optimization technique based on genetic algorithms to search optimal cuttings parameters such as cutting depth, feed rate and cutting speed of multi-pass turning processes. Tow objective functions are simultaneously optimized under a set of practical of machining constraints, the first objective function is cutting cost and the second one is the used tool life time. The proposed model deals multi-pass turning processes where the cutting operations are divided into multi-pass rough machining and finish machining. Results obtained from Genetic Algorithms method are presented in Pareto frontier graphic; this technique helps us in decision making process. An example is presented to illustrate the procedure of this technique.
Grid-Connected PV System Simulation Study
Journal of chemical and pharmaceutical research, 2015
In today's world of manufacturing competitiveness, quality is a prerequisite and it is no longer ... more In today's world of manufacturing competitiveness, quality is a prerequisite and it is no longer a differentiator. Although people in developing countries have started understanding the importance of quality in any sector, but this fact is still not clear to decision makers that a substantial amount is lost in terms of cost of poor quality (COPQ). Classically, it was considered poor quality, every product with at least one quality characteristic exceeding the tolerance limits. Consequently, the estimate of COPQ considers only products outside acceptance zone defined according to the requirements specification. In one side, the conformity with specifications aims only customer satisfaction; in other side, according to TAGUCHI, the COPQ should be calculated not only from compared limits of tolerance but also with respect to the target values of each quality characteristics. Thus, the purpose of optimization is to respect the customer's needs, control of manufacturing processes and reducing the cost of production. The TAGUCHI approach has demonstrated high efficiency in the uni-criterion optimization process, when it is based on a single quality characteristic, but few studies have been conducted for multi criteria optimization. In this work, we propose an approach for the COPQ calculation in Moroccan pharmaceutical company by applying the TAGUCHI approach considering three quality characteristics of a coated tablet namely: Weight, Thickness and Hardness. We can arrive at an optimal quality product with a rate of poor quality reduction of 0.1€/article. Furthermore, the paper discusses the results and some advantages of this method in pharmaceutical sector.
Product Family Formation for Reconfigurable Manufacturing Systems
Lecture notes in networks and systems, 2023
HAL (Le Centre pour la Communication Scientifique Directe), Dec 2, 2015
-Généralement, la planification des tâches de maintenance et l'ordonnancement des opérations de p... more -Généralement, la planification des tâches de maintenance et l'ordonnancement des opérations de production sont traités séparément dans l'industrie sous la stratégie séparée. Etant donné que la maintenance touche la capacité de production et le temps de cette dernière influe sur la probabilité de défaillance des composants dans un système de production, cette interdépendance semble être négligée dans la littérature de la planification séquentielle. Pour résoudre cette problématique, ce papier présente un modèle définissant une fonction objective qui intègre les coûts des activités de maintenance et ceux des opérations de production pour un système multi-état (multilignes, multi-périodes et multi-produits) cette intégration conduit à une réduction du coût globale maintenance/production.
E3S Web of Conferences
Micro-grids can be considered as the ideal way to integrate renewable energy sources into electri... more Micro-grids can be considered as the ideal way to integrate renewable energy sources into electricity generation and to give consumers the opportunity to participate in the electricity market as consumers and producers. Our study aims to implement a micro-grid with solar and wind power generation and storage systems. However, the integration of a battery storage system into a micro-grid requires a thorough control of charge and discharge techniques due to the different load conditions. In this study, the proposed system can transfer electricity to and from the main grid. Although, the objective of the simulation is to control at the same time the energy input and output of the principal grid in order to maximize the profit and minimize the cost. To cope with the uncertainties of the system, a fuzzy logic controller for charge-discharge as well as a scheduling of battery energy storage systems is simulated on Matlab, in order to ensure the energy availability on demand and to take a ...
Advances in Production Engineering & Management, 2018
Most of the prior investigations related to production scheduling problems have solely focused on... more Most of the prior investigations related to production scheduling problems have solely focused on the optimization of an individual criterion under a single constraint; nevertheless, this is most of the time out of true in a real situation. This paper deals with multi machines permutation flow shop scheduling with limited buffers capacity and different release dates of jobs, where the performance is measured by the minimization of the weighted sum of maximum tardiness and makespan. To tackle this NP-hard problem, we present a mixed-integer linear programming model (MILP). Thereafter, using CPLEX software, we generate a set of tests in an endeavor to examine formulation for dissimilar size problems in terms of optimality solution and computational CPU time complexity. Experiment results show that overall the proposed model is computationally avaricious to solve the considering problem.
Towards a strategy of optimization the maintenance activities of the MV/LV PDS transformers
International Conference on Industrial Engineering and Systems Management, Oct 1, 2013
In today's energy market in Morocco, a stable and reliable electric power supply system is an... more In today's energy market in Morocco, a stable and reliable electric power supply system is an inevitable prerequisite for the technological and economic growth of the kingdom. Due to this, many public distribution companies are increasing their competitiveness by adopting new maintenance philosophies to reduce their Operation and Maintenance (O&M) costs. Indeed, being one of the most important parts of the medium voltage network, MV/LV public distribution substations transformer (PDS) play a key role in distribution of electricity, one of the main challenges for electricity distribution companies in Morocco is to manage the existing MV/LV PDS assets in the comprehensive and complex distribution system infrastructure. Moreover, the reliability of the electricity supply has become a subject of discussions at many different levels of society. There is an increasing awareness on developing preventive maintenance strategies which take into account the different aspects of risk which the companies are facing. One principal characteristic of preventive maintenance strategies is that the condition of the substation components is inspected on a regular basis. This paper describes a framework for criticality based maintenance management. The presented methodology shows how MV/LV PDS maintenance can be optimized on the basis of a multicriteria prioritization matrix. The proposed model has been demonstrated and tested by means of a case study of MV/LV PDS network, for the maintenance schedule and for the prioritizaton of maintenance activites. Obtained results have shown that the operational expenditure (OPEX) of MV/LV PDS asset maintenance and the key performance indicators (KPI's) of quality of electricity supply (SAIDI&SAIFI) can be both reduced and improved.
Bayesian model for spare parts management
The inventory management amelioration is influenced by Several factors such as the inventory cons... more The inventory management amelioration is influenced by Several factors such as the inventory consolidation, the supply flexibility, the quality and the transmission speed of information. The important factors influencing the stock, the purchase decision and the quantity to buy are the supply time and the demand. The first factor may cause the shortage risk if it has exceeded a desired delay. The non-stationary demand can cause a dead stock i.e. an obsolescence risk. The latter two types of risk generate an additional costs for the purchasing and storage costs. To avoid these costs, these risks have to be known with high precision. Furthermore, Bayesian networks are among the tools used in risk management. In this paper, we show the utility of Bayesian networks as reliable tool to model the spare parts inventory management.
Modelization of the spare parts supply performance by petri nets
The lack of information sharing in the management of the stock causes significant costs and low q... more The lack of information sharing in the management of the stock causes significant costs and low quality of service. In order to decrease these effects, several organizations have directed to the performance evaluation of the inventory management systems using indicators. Some authors have tried to define improvement paths in terms of models to meet performance criteria and to integrate risk in forecasting and stock management through probabilistic models. Among these models, the graphical models are the most used for example the Bayesian networks and petri nets. Based on the literature and analysis made earlier, this work consists of developing a supply performance assessment model based on petri nets and taking into account the obsolescence parameter (dead stock) in the supply management of the inventory of spare parts. Also, we will present the influence of some parameters on the system through a simulation study.
Modern Applied Science, Jan 10, 2015
Drinking water quality is of fundamental importance to human physiology and the durability of hum... more Drinking water quality is of fundamental importance to human physiology and the durability of humanity. In today's environment, many laboratories of water analysis are challenged to maintain or increase their quality while simultaneously lowering their overall costs. The aim of this research is to classify and determine different quality costs in Moroccan laboratory of water analysis by implemented the Prevention-Appraisal-Failure (PAF) approach. Using data collected during six month, we found that approximately 77.9 % of total quality costs was spent on costs of "good quality" (prevention and appraisal), while 22.1 % was spent on costs of "poor quality" (internal and external failures). This is an ideal situation, prevention costs will be the largest portion of the total Cost of Quality (COQ). By minimizing delay and Claims (retest) can reduced external failure cost laboratory given weighted to customer needs because of the good quality of service. The cost of processing and correcting such errors was minimum. The fundamental point is to monitor the effects of the quality measures taken to reduce the number of failures. The article also explains the benefits of the eventual adoption of a COQ approach in laboratory, proper frame work and we propose guideline for significant and non-significant factors which should consider in laboratory of water analysis.
Management and Production Engineering Review
The rapid global economic development of the world economy depends on the availability of substan... more The rapid global economic development of the world economy depends on the availability of substantial energy and resources, which is why in recent years a large share of non-renewable energy resources has attracted interest in energy control. In addition, inappropriate use of energy resources raises the serious problem of inadequate emissions of greenhouse effect gases, with major impact on the environment and climate. On the other hand, it is important to ensure efficient energy consumption in order to stimulate economic development and preserve the environment. As scheduling conflicts in the different workshops are closely associated with energy consumption. However, we find in the literature only a brief work strictly focused on two directions of research: the scheduling with PM and the scheduling with energy. Moreover, our objective is to combine both aspects and directions of in-depth research in a single machine. In this context, this article addresses the problem of integrated scheduling of production, preventive maintenance (PM) and corrective maintenance (CM) jobs in a single machine. The objective of this article is to minimize total energy consumption under the constraints of system robustness and stability. A common model for the integration of preventive maintenance (PM) in production scheduling is proposed, where the sequence of production tasks, as well as the preventive maintenance (PM) periods and the expected times for completion of the tasks are established simultaneously; this makes the theory put into practice more efficient. On the basis of the exact Branch and Bound method integrated on the CPLEX solver and the genetic algorithm (GA) solved in the Python software, the performance of the proposed integer binary mixed programming model is tested and evaluated. Indeed, after numerically experimenting with various parameters of the problem, the B&B algorithm works relatively satisfactorily and provides accurate results compared to the GA algorithm. A comparative study of the results proved that the model developed was sufficiently efficient.
Bi-objective unrelated parallel machine joint scheduling of jobs and preventive maintenance with a dynamic speed-scaling technique
Materials Today: Proceedings
Non-permutation flow shop scheduling problems with unavailability constraints to Minimize Total Energy Consumption
2019 5th International Conference on Optimization and Applications (ICOA)
Nowadays, energy demand has grown rapidly and remarkably in the different sector. More particular... more Nowadays, energy demand has grown rapidly and remarkably in the different sector. More particularly the industry currently consumes about half of the world’s energy. Furthermore, there has been a growing concern over the environmental impact of traditional manufacturing, especially in terms of energy consumption and related emissions of carbon dioxide. Besides the adoption of new equipment, production scheduling could play a key role in reducing the total energy consumption of a manufacturing plant. This article deals with the non-permutation flow shop scheduling problems with non-availability intervals to minimize the total energy consumption (TEC) and makespan (Cmax). Specifically, two kinds of unavailability constraints are investigated and the jobs are non-resumable in both cases. In the first case, the non- availability intervals are periodically fixed and known in advance. In the second case, the intervals are flexible and the machines’ continuous working time cannot exceed a maximum allowed time. The mixed binary integer programming model is provided for deriving the optimal schedules. The problems of minimising makespan in such flow shops are proved Non-deterministic Polynomial-time hard in strong sense. To the best of our knowledge, no papers considering both production scheduling and unavailability constraints with minimizing the total of energy consumption and makespan in flow shop. The gap between theory and practice prevents the satisfying performance of the schedules in industry. The purpose of this paper is to establish a joint model for integrating the production and unavailability constraints to optimize the bi-objective of the total energy consumption and makespan simultaneously; and to make the theory applied in practice more efficaciously.
A batch sizing and Joint Scheduling Problem of Jobs and Variable Maintenance Activities under energy constraints
2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA), 2019
It is essential to spend energy to preserve our existence and our society. In addition to product... more It is essential to spend energy to preserve our existence and our society. In addition to production and consumption processes, a huge amount of greenhouse gases is emitted into the atmosphere. Indeed, inefficient energy use and excessive greenhouse gas emissions have raised concerns around the world. The manufacturing sector, which is the backbone of most countries, consumes almost half of the world's total available energy. To achieve the objective of saving energy and reducing financial costs, production managers must review their scheduling strategy. In this regard, this article consider the batch sizing and joint scheduling of jobs and variable maintenance activities under energy constraints The goal is to complete the schedule before a common deadline while minimizing the multiobjective of the total tardiness, the maximum demand on peak hours and the total energy consumption which depends on batch/machine assignment simultaneously. We propose to tackle this problem through mixed integer linear programming (MILP).
Comparative analysis the simultaneous scheduling problems of production and maintenance activities
2018 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA), 2018
Extensively of the scheduling theory assumes that machines are always available to process jobs a... more Extensively of the scheduling theory assumes that machines are always available to process jobs at any time during the scheduling horizon. However, machines may be unavailable for various reasons in realistic practices. This article studies a comparative analysis of simultaneous scheduling problems of production and maintenance activities in the flow shop. Our literature review focuses first on the basic concepts of scheduling problems. Subsequently, we focus our attention on the principal methods for solving scheduling problems, while presenting in the following the main published works for the aforementioned systems. Lastly, a comparative analysis is carried out to highlight the fundamental ideas leading to the adoption of an effective approach capable of producing an optimal solution in a reasonable calculation time.
Cost Effectiveness of Healthcare Maintenance Policy: A New Proportional Delay Time Model
International journal of performability engineering, 2016
E3S Web of Conferences, 2020
Recently, energy scarcity and environmental pollution have become increasingly serious problems, ... more Recently, energy scarcity and environmental pollution have become increasingly serious problems, while the scheduling of energy savings is attracting increasing attention from industries to minimize energy consumption. This article deals with the problem of scheduling production and maintenance under energy constraints in the flow shop. Two mixed binary integer programming models are provided to derive optimal scheduling to minimize total energy consumption (TEC). To solve this problem, we use an approximate method as a genetic algorithm (GA).
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Papers by Abdellah El Barkany