Souhail Dhouib

@univ-sfax.tn

Higher Institute of Industrial Management
University of Sfax, TUNISIA



                       

https://researchid.co/souhail

 World's Top 2% Scientists (in the first subfield of Artificial Intelligence and the second subfield of Operations Research),
 Dhouib-Matrix Optimization Methods Inventor (Dhouib-Matrix-SPP, Dhouib-Matrix-3, …, Etc),
 Artificial Intelligence Developer,
 Operations Research Analyst,
 Data Scientist and Data Analyst,
 ISO9001 and ISO27001 Certified
 Keynote speaker and workshop holder for several international conferences

EDUCATION

 Bachelor degree in Management Information Systems
 Master degree in Operations Research and Production Management
 Ph.D. degree in Quantitative Methods (Artificial Intelligence, Optimization)

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Decision Sciences, Modeling and Simulation, Computational Theory and Mathematics

FUTURE PROJECTS

Robotics


Applications Invited

New Heuristic for the Generalized Assignment Problem: The Dhouib-Matrix-AP2


Applications Invited

DM-MSTP


Applications Invited
65

Scopus Publications

841

Scholar Citations

18

Scholar h-index

35

Scholar i10-index

Scopus Publications

  • Innovative technique with enriched movement directions to plan the trajectory for an autonomous Mobile robot
    Souhail Dhouib
    SAGE Publications
    This paper presents a deep analysis of a novel method entitled Dhouib-Matrix-SPP-24 (DM-SPP-24) and its application to rapidly generate the shortest trajectory for an autonomous mobile robot. For this problem, the environment is represented by a grid map where several obstacles are exposed with static positions and the main objective is to plan the shortest trajectory for an autonomous mobile robot from the current to the target positions with obstacles free-collisions. This study introduces an in-depth exploration of the twenty-four movement directions of the DM-SPP-24 method, an application on six grid maps and a comparison to several recent metaheuristics taken from the literature (such as the Improved Ant Colony Algorithm, the enhanced Ant Colony Optimization with Gaussian Sampling, the Particle Swarm Optimization, the Genetic Algorithm and other methods). Indeed, a new method namely DM-SPP-24 is introduced and this study notes an improvement in the quality and the rapidity of the generated solution by DM-SPP-24 versus the solution produced by the recent published metaheuristics in the literature. This work serves as a valuable resource for robotics and path planning viewing that it introduces a very fast and accurate method (DM-SPP-24) to plan the trajectory of an autonomous mobile robot.

  • Banking Service Quality as a Criterion for Customer Satisfaction – An Analytical Study on a Sample of Iraqi Banks Listed on the Iraq Stock Exchange
    Souaad Abdulfattah Mohammed and Souail Dhouib
    Iquz Galaxy Publisher
    Customer satisfaction is a critical focus for business organizations, particularly in the banking sector, where customer interactions play a vital role in shaping a bank's capital. This study aims to examine the influence of banking service quality on customer satisfaction, using a sample of banks listed on the Iraq Stock Exchange in 2023. Previous research suggests that service quality significantly affects customer satisfaction, prompting this investigation within the Iraqi context. Data were gathered through 102 questionnaires, and the results were analyzed using correlation and regression analyses. The findings indicate that the quality of banking services has a significant impact on customer satisfaction, with key dimensions such as tangibility, safety, and empathy showing a particularly strong influence. Tangibility, which had a mean of 2.149 and a high standard deviation of 0.863, revealed variability in respondents' perceptions. In contrast, reliability exhibited the lowest standard deviation (0.799) and the highest agreement among respondents, indicating homogeneity in how reliability is perceived. Correlation analysis showed significant relationships between banking service quality dimensions (responsiveness, safety) and customer satisfaction components, such as satisfaction with procedures and employees. Multiple regression analysis further demonstrated that tangibility, safety, and empathy were the most influential factors, explaining 74.8% of the variation in customer satisfaction. These results suggest that enhancing these specific service quality dimensions is essential for improving customer satisfaction in the Iraqi banking sector, particularly given the sector's challenges and the importance of maintaining customer trust.

  • Unraveling the Intuitionistic Octagonal Fuzzy Travelling Salesman Problem via Dhouib-Matrix-TSP1 Heuristic
    Souhail Dhouib, Mariem Miledi, and Taicir Loukil
    International Academic Press
    The Travelling Salesman Problem (TSP) is an NP-hard problem of optimization that its goal is to obtain the shortest cycle among all cities that should be visited only once by a salesperson. The main goal of a salesperson is to visit each city only once and to obtain the distance traveled as well as the travelling costs as low as possible. In real-life and due to the absence of information, variables coming from experts’ collected data are usually uncertain and imprecise. In such cases, the decision maker cannot exactly expect the TSP cost. That’s why in this paper, the TSP under the intuitionistic octagonal fuzzy environment is considered and solved by adapting the very recent greedy method namely Dhouib-Matrix-TSP1 (DM-TSP1). This heuristic is very simple and it is composed of four steps. DM-TSP1 uses the Sum metric and is enriched with a ranking function. This current research work presents the first resolution of the TSP under the intuitionistic octagonal fuzzy domain. For this reason, new case studies are generated in order to carry out the experimental results. Moreover, a step-by-step execution of DM-TSP1 is detailed in order to prove its effectiveness.

  • The First Resolution of the Travelling Salesman Problem under Neutrosophic Octagonal Fuzzy Environment


  • Minimizing the drilling robot arm movement by the advanced Dhouib-Matrix-4 metaheuristic
    Souhail Dhouib
    SAGE Publications
    Drilling holes on a Printed Circuit Board is a complicated task and it is usually ensured via a Computer Numerical Control (CNC) machine using a drilling robot arm. Commonly, to increase the performance of the CNC, the movement of its robot arm is minimized via the optimization of the holes drilling route. Hence, different metaheuristics are used to plan the shortest drilling route. In this purpose, we designed a novel metaheuristic namely Dhouib-Matrix-4 (DM4) and in this paper DM4 is enhanced with a Tabu list (T) and adapted to plan the shortest route for the drilling robot arm: the proposed method is entitled Dhouib-Matrix-4-Tabu (DM4-T). In fact, DM4-T combines two techniques in a multi-start structure: (i) An initial basic solution is generated using the novel Dhouib-Matrix-TSP1 heuristic (ii) this initial solution is intensified via the innovative Far-to-Near local search technique with the Tabu list. Experimental results indicate the performance and robustness of DM4-T to solve several instances up to 2152 holes. Indeed, DM4- T outperforms several existing metaheuristics in the literature such as Genetic Algorithm, Ants Colony Optimization, Integrated Genetic Simulated Annealing and Modified Shuffled Frog Leaping Algorithm.



  • Decision support system using Dhouib-Matrix-TP1 heuristic for pentagonal fuzzy transportation problem
    Souhail Dhouib, Aïda Kharrat, Saima Dhouib, and Tole Sutikno
    Institute of Advanced Engineering and Science
    In this paper, a decision support system (DSS) is provided to assist the decision-maker in obtaining the best solution for the transportation problem under uncertainty. Fuzzy parameters of the transportation problem are presented by pentagonal fuzzy numbers. The centroid ranking function transforms these pentagonal fuzzy numbers into crisp ones. Then, a novel, improved greedy method named Dhouib-Matrix-TP1 (DM-TP1) is used in order to help the decision-maker promptly find a suitable solution. Specifically, this DSS is composed of three components: the data base component considers a pentagonal fuzzy number; the Model Base component thinks through the original heuristic DM-TP1; and the User Interface component deliberates the convivial graphical output of the generated transportation plan solution using the Python programming language. Experiments in the literature on fuzzy transportation problems show that the novel proposed heuristic, DM-TP1, is easy to understand and allows the decision-maker to handle transportation problems under pentagonal fuzzy numbers. Also, the DM-TP1 is robust and can be applied to find a feasible initial solution in less time.



  • Faster than Dijkstra and A<sup>∗</sup> Methods for the Mobile Robot Path Planning Problem Using Four Movement Directions: The Dhouib-Matrix-SPP-4
    Souhail Dhouib
    IOS Press
    Planning the shortest path for a mobile robot is a hard task. It consists in quickly finding the shortest distance from the starting to the target positions with obstacles collision-free. The performance of the robot mobile will be increased if the optimal shortest path is rapidly planned. Therefore, in this paper the novel optimal method entitled Dhouib-Matrix-SPP (DM-SPP) is enhanced for this problem with four movement directions (namely DM-SPP-4) for an environment represented as a grid map with fixed obstacles. The simulation results on several 41x41 grid maps and the comparison of DM-SPP-4 to different methods (Basic Dijkstra, Modified Dijkstra, Basic A*, Modified A*, Best First Search Algorithm, Breadth First Search, Depth First Search algorithms) show that DM-SPP-4 can realize the path planning more rapidly and accuracy.

  • A Hybrid Optimization Approach for Efficient Hole Drilling Path Minimization
    Souhail Dhouib and Alaeddine Zouari
    IOS Press
    This paper introduces a novel hybrid optimization method combining two techniques namely the Dhouib-Matrix-TSP1 (DM-TSP1) greedy algorithm and a population-based metaheuristic the Artificial Bee Colony (ABC) in order to address the multi-hole drilling operations. The proposed approach leverages the DM-TSP1 to create different feasible solutions, which are then optimized by the ABC algorithm to generate the minimal trajectory for a tool path. Four case studies are simulated to prove the performance of the proposed technique and the generated results demonstrate that ABC-DM-TSP1 consistently outperforms standard metaheuristics like the Bat metaheuristic, the Particle Swarm Optimization method and the Ant Colony Optimization metaheuristic with improvements in path length ranging from 0.24% to 9.35%. This reduction in tool path length directly translates to lower machining times, energy consumption, and production costs. The proposed method offers a robust and efficient solution for optimizing drilling paths in manufacturing, paving the way for future exploration in other machining applications.

  • Simulation Study on Truck Noise and Distance Minimization with the Novel Dhouib-Matrix4-PMO Method
    Souhail Dhouib
    IOS Press
    In transportation, a famous problem known as Travelling Salesman Problem (TSP) is based on optimizing distance (or time, cost, noise, … etc.) between all nodes. In this paper, two criteria are stimulatingly minimized the distance and the noise using the innovative Dhouib-Matrix4-PMO (DM4-PMO) metaheuristic for a truck case study. The DM4-PMO works on two steps and generate two Pareto non dominated solutions. Where, the first Pareto set is generated using a pondered function and the followed second Pareto is created via a logographical optimization. Simulation results, using Python programming language, on a truck case study (with the noise and the distance minimization) prove that the proposed DM4-PMO method can unravel the multi-objective TSP with an ergonomical graphical representation of the Pareto non dominated set solutions. Further research work will focus on the application of DM4-PMO on other complicated problem such as the multi-objective scheduling problem.





  • Tool Path Length Optimization in Drilling Operations: A Comparative Study
    Alaeddine Zouari, Dhouib Souhail, Fatma Lehyani, and José Carlos Sá
    Springer Nature Switzerland





  • Solving the trapezoidal fuzzy assignment problem using the novel Dhouib-Matrix-AP1 heuristic
    Souhail Dhouib and Tole Sutikno
    Institute of Advanced Engineering and Science
    The assignment problem is a famous problem in combinatorial optimization where several objects (tasks) are assigned to different entities (workers) with the goal of minimizing the total assignment cost. In real life, this problem often arises in many practical applications with uncertain data. Hence, this data (the assignment cost) is usually presented as fuzzy numbers. In this paper, the assignment problem is considered with trapezoidal fuzzy parameters and solved using the novel Dhouib-Matrix-AP1 (DM-AP1) heuristic. In fact, this research work presents the first application of the DM-AP1 heuristic to the fuzzy assignment problem, and a step-by-step application of DM-AP1 is detailed for more clarity. DM-AP1 is composed of three simple steps and repeated only once in n iterations. Moreover, DM-AP1 is enhanced with two techniques: a ranking function to order the trapezoidal fuzzy numbers and the min descriptive statistical metric to navigate through the research space. DM-AP1 is developed under the Python programming language and generates a convivial assignment network diagram plan.

  • Increasing the Performance of Computer Numerical Control Machine via the Dhouib-Matrix-4 Metaheuristic
    Souhail Dhouib and Danijela Pezer
    IBERAMIA: Sociedad Iberoamericana de Inteligencia Artificial
    The Computer Numerical Control (CNC) machine represents a turning point in today's production which has high requirements for product accuracy. The CNC machine enables a high flexibility in work and time saving and also reduces the time required for product accuracy control. Moreover, the CNC machine are used for several activities, most often for turning, drilling and milling operations. Usually, the productivity of any CNC machine can be increased thanks to the minimization of the non-productive of tool movement. In this paper, the results of a new metaheuristic named Dhouib-Matrix-4 (DM4) with an application on the NP-hard problem based on the Travelling Salesman Problem are presented. DM4 is used for increasing the performance of the CNC Machine by optimizing a tool path length in the drilling process performed on the CNC milling machine. The proposed algorithm (DM4) achieves a solution closed to the optimum, compared with the results obtained with the Ant Colony Optimization algorithm and the results found with the manual programming in G code by using a control unit for the selected CNC milling machine.


RECENT SCHOLAR PUBLICATIONS

  • A Hybrid Optimization Approach for Efficient Hole Drilling Path Minimization
    D Souhail, Z Alaeddine
    Advances in Transdisciplinary Engineering 64 (10.3233/atde241268), 398 - 404 2025

  • Simulation Study on Truck Noise and Distance Minimization with the Novel Dhouib-Matrix4-PMO Method
    S Dhouib
    Advances in Transdisciplinary Engineering 64 (10.3233/atde241272), 433 - 438 2025

  • Supply Chain Networks Optimization under Uncertain Environment with Dhouib-Matrix-TP1 heuristic
    S Dhouib, M Kammoun, S Dhouib, T Loukil
    Statistics, Optimization & Information Computing 2025

  • Innovative technique with enriched movement directions to plan the trajectory for an autonomous Mobile robot
    S Dhouib
    Science Progress 108 (1), 00368504251321714 2025

  • Minimizing the drilling robot arm movement by the advanced Dhouib-Matrix-4 metaheuristic
    S Dhouib
    Concurrent Engineering, 1063293X241311734 2025

  • The First Resolution of the Travelling Salesman Problem under Neutrosophic Octagonal Fuzzy Environment
    M Miledi, T Loukil, S Dhouib
    Neutrosophic Sets and Systems 79, 297-313 2025

  • Unraveling the Intuitionistic Octagonal Fuzzy Travelling Salesman Problem via Dhouib-Matrix-TSP1 Heuristic
    S Dhouib, M Miledi, T Loukil
    Statistics, Optimization & Information Computing 13 (3), 1046-1062 2025

  • Implementation of Circle-Breaking Algorithm on Fermatean
    S krishna Prabha, S Broumi, S Dhouib, M Talea
    Neutrosophic Sets and Systems, vol. 72/2024: An International Journal in 2024

  • Implementation of circle-breaking algorithm on fermatean neutrosophic graph to discover shortest path
    S krishna Prabha, S Broumi, S Dhouib, M Talea
    Neutrosophic Sets and Systems 72, 256-271 2024

  • Original optimal method to solve the all-pairs shortest path problem: Dhouib-matrix-ALL-SPP
    S Dhouib
    Data Science and Management 7 (3), 206-217 2024

  • Solving the Minimum Spanning Tree Problem Under Interval Valued Fermatean Neutrosophic Domain
    S Dhouib, K Vidhya, S Broumi, M Talea
    Neutrosophic Sets and Systems 67, 11-20 2024

  • Enhancing the Dhouib-Matrix-4 metaheuristic to generate the Pareto non-dominated set solutions for multi-objective travelling salesman problem: the DM4-PMO method
    S Dhouib, A Kharrat, T Loukil, H Chabchoub
    Results in Control and Optimization 14, 100402 2024

  • Innovative method to solve the minimum spanning tree problem: The Dhouib-Matrix-MSTP (DM-MSTP)
    S Dhouib
    Results in Control and Optimization 14, 100359 2024

  • Implementation of Circle-Breaking Algorithm on Fermatean Neutrosophic Graph to discover Shortest Path
    S Broumi, S Dhouib, M Talea
    Neutrosophic Sets and Systems 72 (1), 13 2024

  • Decision support system using Dhouib-Matrix-TP1 heuristic for pentagonal fuzzy transportation problem
    T Dhouib, S. , Kharrat, A. , Dhouib, S. , Sutikno
    Indonesian Journal of Electrical Engineering and Computer Science 35 (1 2024

  • Faster than Dijkstra and A* methods for the mobile robot path planning problem using four movement directions: the Dhouib-Matrix-SPP-4
    S Dhouib
    Mechatronics and Automation Technology, 284-290 2024

  • Intelligent path planning for cognitive mobile robot based on Dhouib-Matrix-SPP method
    S Dhouib
    Cognitive Robotics 4, 62-73 2024

  • Multi-start constructive heuristic through descriptive statistical metrics: the Dhouib-Matrix-4 metaheuristic
    S Dhouib
    International Journal of Operational Research 50 (2), 246-265 2024

  • Shortest path planning via the rapid Dhouib-Matrix-SPP (DM-SPP) method for the autonomous mobile robot
    S Dhouib
    Results in Control and Optimization 13, 100299 2023

  • An optimal method for the shortest path problem: the Dhouib-Matrix-SPP (DM-SPP)
    S Dhouib
    Results in Control and Optimization 12, 100269 2023

MOST CITED SCHOLAR PUBLICATIONS

  • Optimization of travelling salesman problem on single valued triangular neutrosophic number using dhouib-matrix-TSP1 heuristic
    S Dhouib
    International Journal of Engineering Transactions C: Aspects, ISSN: 24237167 2021
    Citations: 53

  • Solving the Single-Valued Trapezoidal Neutrosophic Transportation Problems through the Novel Dhouib-Matrix-TP1 Heuristic
    S Dhouib
    Mathematical Problems in Engineering 2021 (Article ID 3945808), https://doi 2021
    Citations: 36

  • A new column-row method for traveling salesman problem: the dhouib-matrix-TSP1
    S Dhouib
    International Journal of Recent Engineering Science 8 (1), 6-10 2021
    Citations: 30

  • Dhouib-Matrix-TSP1 method to optimize octagonal fuzzy travelling salesman problem using α-cut technique
    M Miledi, S Dhouib, T Loukil
    International Journal of Computer and Information Technology (2279-0764) 10 (3) 2021
    Citations: 29

  • Single valued trapezoidal neutrosophic travelling salesman problem with novel greedy method: the dhouib-matrix-TSP1 (DM-TSP1)
    S Dhouib, S Broumi, M Lathamaheswari
    International Journal of Neutrosophic Science 17 (2), 144-157 2021
    Citations: 27

  • Solving the trapezoidal fuzzy transportation problems via new heuristic: the Dhouib-Matrix-TP1
    S Dhouib
    International Journal of Operations Research and Information Systems (IJORIS 2021
    Citations: 26

  • Multi-start constructive heuristic through descriptive statistical metrics: the Dhouib-Matrix-4 metaheuristic
    S Dhouib
    International Journal of Operational Research 50 (2), 246-265 2024
    Citations: 25

  • Neutrosophic triangular fuzzy travelling salesman problem based on dhouib-matrix-TSP1 heuristic
    S Dhouib
    International Journal of Computer and Information Technology (2279-0764) 10 (5) 2021
    Citations: 25

  • An intelligent assignment problem using novel heuristic: The dhouib-matrix-ap1 (dm-ap1): Novel method for assignment problem
    S Dhouib
    International Journal of Intelligent Systems and Applications in Engineering 2022
    Citations: 24

  • Minimizing the total distance for the supply chain problem using dhouib-matrix-TSP2 method
    S Dhouib
    International Journal of Advanced Research in Engineering and Technology 12 2021
    Citations: 24

  • Optimizing the trapezoidal fuzzy travelling salesman problem through dhouib-matrix-TSP1 method based on magnitude technique
    S Dhouib
    International Journal of Scientific Research in Mathematical and Statistical 2021
    Citations: 24

  • Adaptive iterated stochastic metaheuristic to optimize holes drilling path in manufacturing industry: The Adaptive-Dhouib-Matrix-3 (A-DM3)
    S Dhouib, A Zouari
    Engineering Applications of Artificial Intelligence 120, 105898 2023
    Citations: 23

  • Novel Metaheuristic Based on Iterated Constructive Stochastic Heuristic: Dhouib‐Matrix‐3 (DM3)
    S Dhouib
    Applied Computational Intelligence and Soft Computing 2021 (1), 7761993 2021
    Citations: 23

  • Stochastic column-row method for travelling salesman problem: the dhouib-matrix-TSP2
    S Dhouib
    International Journal of Engineering Research & Technology 10 (3), 524-527 2021
    Citations: 22

  • Novel heuristic for intuitionistic triangular fuzzy travelling salesman problem
    S Dhouib
    International Journal of Applied Evolutionary Computation (IJAEC) 12 (4), 39-55 2021
    Citations: 20

  • Solving the trapezoidal fuzzy assignment problem using the novel Dhouib-Matrix-AP1 heuristic
    S Dhouib, T Sutikno
    Bulletin of electrical engineering and informatics 12 (2), 950-957 2023
    Citations: 18

  • A novel metaheuristic approach for drilling process planning optimization: Dhouib-Matrix-4 (DM4)
    S Dhouib, D Pezer
    International journal of artificial intelligence 20 (2), 80-92 2022
    Citations: 18

  • Haar dhouib-matrix-TSP1 method to solve triangular fuzzy travelling salesman problem
    S Dhouib
    Research Journal of Recent Sciences 2021
    Citations: 18

  • Novel optimization method for unbalanced assignment problems with multiple jobs: The Dhouib-Matrix-AP2
    S Dhouib
    Intelligent Systems with Applications 17, 200179 2023
    Citations: 16

  • Optimising the non-productive time of robotic arm for drilling circular holes network patterns via the Dhouib-Matrix-3 metaheuristic
    S Dhouib, A Zouari
    International Journal of Mechatronics and Manufacturing Systems 16 (2-3 2023
    Citations: 16

CONSULTANCY

 Experience in consulting for business organizations and industries
 Over than twenty years real-world industrial experiences in designing and developing business management software at different sectors ranging from Manufacturing, Electronic to Clothing Etc

Industry, Institute, or Organisation Collaboration

 Ancient Vice President at TORS (Tunisian Operations Research Society)
 Ancient Financial Director at ATID (Tunisian Association of Engineering Decision)
 Ancient member of the national Tunisian sector committee in management sciences

INDUSTRY EXPERIENCE

 Practical experience in managing company as General Manager
 ISMS (ISO 27001: Information Security Management System) certified lead auditor from TÜV Rheinland Group.
 QMS (ISO 9001: Quality Management System) certified lead auditor from TÜV Rheinland Group.

STARTUP

 Founder of two companies specialized in the field of development of business software

SOCIAL, ECONOMIC, or ACADEMIC BENEFITS

 Founder member of ATID (Tunisian Association of Engineering Decision) and TORS (Tunisian Operations Research Society) associations