The Fifth Annual Conference of the Tunisian Operational Research Society
November 1-3, 2022 - Sousse - TUNISIA
Scope and Objectives _______________
The international conference of the Tunisian Operational Research Society (TORS) aims to share and exchange knowledge in the field of operational research and to promote collaborations and interactions between researchers and industrials. For its fifth edition, the INFORMS BH TORS conference will take place on November 1-3, 2022 in Sousse, Tunisia. It covers research issues in the operational research and decision aid fields involving recent theoretical developments and real applications.
The scope of TORS'22 includes:
Theoretical developments, recent developments in linear, nonlinear, integer, stochastic, multilevel and multi-objective optimization.
Simulation, Learning and Statistical methods.
Information Systems, Decision theory, Game theory and Multi-Criteria Decision Aid.
Constraint Programming and Artificial Intelligence.
Heuristics and Meta-Heuristics.
DEA and Performance Measures.
Risk Management and Resilience.
Management Quality and Integrated Management Systems.
Healthcare Logistics and Supply Chain.
Sustainable and Resilient Supply Chain.
Uncertainty theories, Belief Functions, Probability, Possibility and Fuzzy Sets theories.
Some Applications of OR such as: Planning and Scheduling, Logistic and Routing problems, Timetabling, Cutting problem, Knapsack problem, Portfolio Optimization, Set Covering / Clustering / Packing, Reliability and Maintenance, Data Mining, Health and Environment and Bioinformatics, Supply Chain Management, Industry 4.0, Sustainable Renewable Energy, Circular Economy and Sustainability.
Economic Intelligence and Firm Performance.
Macro-Economic Institutions and Performances.
All topics related to OR are welcome.
KEYNOTE SPEAKERS __________________
Our speakers come from all over the world to share their knowledge at the TORS'22 Conference. You can read their biography below and learn more about them, and what they will tell you about during their talks.
Important Dates __________________
July 31, 2022
Submission of Short Papers
August 25, 2022
Extended Deadline of Submission of Short Papers
September 15, 2022
Last Extended Deadline of Submission of Short Papers
October 05, 2022
October 15, 2022
Submission Details _________________
All submitted short papers of 4 - 5 pages should be written in English. They should clearly include: title, brief abstract, list of key-words, author(s) full name(s), affiliation(s), complete address(es), and e-mail address(es). Please state the name of the contact person. Papers must be submitted electronically using the online submission system according this template.
A selection of extended-papers will be considered for publication in special issues of the journals:
- Annals of Operations Research on New Trends of Combinatorial Optimization and Application:
Registration Instructions _____________
These fees include: Participation and Accommodation Hotel (2-nights stay “November 1 - 2, 2022” and double occupancy rooms, All Inclusive Soft).
For Tunisian Residents:
1- Tunisian participants may pay the registration fees by order form (bon de commande).
The Tax Registration Number (matricule fiscale) of TORS is 1403146/Q.
2- A document confirming your student position must be sent by email to: firstname.lastname@example.org
3- The organization committee will be pleased to send an invitation letter to registered participants under request.
For any help regarding the registration, please contact us by email: email@example.com
4- Additional fees should be paid for the accompanying persons (adults and children) and if the participant chooses to stay in a single room (see the registration form).
5- Additional fees should be paid for the extra nights (60 Euro per extra night).
Methods of Payment:
All payments should be made by order form (for Tunisian participants), cash or by bank transfer to the following Bank Account:
- Account Name: ASSOCIATION T.O.R.S
- Bank Name: Banque Zitouna
- Bank Address: Route Gremda 2,5km - 3022 Sfax
- RIB: 25022000000029034026
- International Bank Account Number ‘IBAN’: TN59 2502 2000 0000 2903 4026
- Bank Identification Code (BIC):BZITTNTT
Please clearly indicate YOUR NAME, and the announcement: “TORS 2022″. Please take into account that most banks apply costs for international transfers. These costs should be paid by the registrant.The payment justification must be sent by email to: firstname.lastname@example.org
Taicir Moalla Loukil - FSEG Sfax, Tunisia
Diala Dhouib Karray - ISGI Sfax, Tunisia
Ahmed Frikha - ISGI Sfax, Tunisia
Chair: Hela Frikha
Marwa Ben Moallem
Mohamed Ali Elleuch
Mohamed Haykal Ammar
Safa Bhar Layeb
Web Master & Submission Manager : Mariem Masmoudi
Abdelaziz Dammak (TN),
Abdelkarim Elloumi (TN),
Abderrahmen Elmhamedi (FR),
Adnen Elamraoui (FR),
Ahmed Frikha (TN),
Ahmed Ghorbel (TN),
Ali Ridha Mahjoub (FR),
Anis Gharbi (TN),
Bassem Jarboui (UAE),
Canstantin Zoupunidis (GR),
Dave Evans (SA),
Diala Dhouib (TN),
Djamil Aissani (DZ),
El-ghazali Talbi, (FR),
Farhat Abdeljalil (TN),
Faouzi Massmoudi (TN),
Fedya Telmoudi (TN),
Fouad Jawab (MA),
François Delmotte (FR),
Habib Chabchoub (UAE),
Hatem Masri (BHR),
Hedi Nabli (TN),
Hela Frikha (TN),
Henri Pierreval (FR),
Hichem Kamoun (TN),
Houda Derbel (TN),
Imed Kacem (FR),
Jamal Chaabane (DZ),
Jaouad Boukachour (FR),
José Rui Figueira (PT),
Jouhaina Siala (TN),
Khaled Ghedira (TN),
Khaled Jabeur (TN),
Lotfi Belkacem (TN),
Luis Martinez (ES),
Mahdi Khemakhem (KSA),
Mahdi Mrad (TN),
Malek Masmoudi (FR),
Mohamed Amine Chergui (DZ),
Mohamed Ayman Boujelben (TN),
Mohamed Haouari (QR),
Mohamed Naceur Azaiez (TN),
Moncef Abbas (DZ),
Nesrine Halouani (TN),
Omar Benayed (TN),
Raoudha Kammoun (TN),
Rosa Rodriguez (ES),
Sabeur Elkossentini (TN),
Safa Bhar Layeb (TN),
Said Hanafi, (FR),
Samir Elhedhli (CA),
Saoussen Krichen (TN),
Slim Benyoussef (TN),
Sonda Elloumi (KSA),
Sondes Hammami (TN),
Souhail Dhouib (TN),
Soulef Smaoui (TN),
Tadeusz Trzaskalik (PL),
Talel Laadheri (TN),
Walid Ben Ammeur (FR),
Yasmina Heni (FR),
Ziad Babai (FR),
Sousse, one of the first tourist centres in the country, is Located 140 kilometres (87 miles) south of the capital Tunis, on the Gulf of Hammamet, which is a part of the Mediterranean Sea. Sousse still keeps all its charm thanks to its privileged climate, to the vegetation of its exuberant gardens, to its beaches of sand and to the quality of its hotel facilities. Go down into the streets of the Medina, surrounded by imposing walls that shelter the teeming bazaars, and, from the same fortification, admire the beautiful views of the city and the sea. Sousse is known for its Port El Kantaoui, which is a world-class port that can accommodate 300 boats of all categories on a lake of 4 hectares. The port area Port El Kantaoui is designed as a white and blue Tunisian style village with reproduced medina quarter and cobblestone streets.
How to reach Tunisia
The major airports in Tunisia are:
Tunis – Carthage International Airport (TUN)
Enfidha Hammamet International Airport (NBE)
Monastir Habib Bourguiba International Airport (MIE) : The nearest airport to the venue (about 20 minutes by taxi)
How to travel from airport Tunis to the venue
by a tourist taxi called "Grand Taxi"
by train: From the Tunis international airport take a taxi to the Tunis train station (about 9 km), Then take the train from Tunis to Kalaa Sghira train station (SNCFT). Finally, take a taxi directly to the Hotel.
In each major city (Tunis, Sousse, Nabeul, Hammamet, Tozeur, etc) you will find an ONTT (National Tunisia Tourism Office) branch office. These offices are open during regular working hours, as well as Saturdays and Sundays. They can help you with any information you need, excluding tour and excursion information.
- 230 V and 50 Hz
- Electrical plugs type C and E (same round plugs like in Western Europe.)
- Make sure to bring a converter for your hair-dryer and other powerful electronics.
Tunisia is at UTC/GMT +1. Check time and date.com for further information about time zones.
Biography & Abstract __________________
Prof. Juergen Branke
The relationship between optimisation and machine learning
Professor of Operational Research and Systems, Warwick Business School
Director of Data Science for Social Good (DSSGx UK)
Fellow of the Alan Turing Institute
Phone: +44 24 7657 5816
Biography: Juergen Branke is Professor of Operational Research and Systems at Warwick Business School. His research area lies at the interface of machine learning and optimisation and falls into the broader field of prescriptive analytics, i.e., how to use data and models to make optimal decisions. In particular, he works on methods such as metaheuristics and Bayesian optimisation to tackle problems that involve uncertainty, are dynamically changing over time, or involve multiple, conflicting objectives. Prof. Branke is Editor-in-Chief of ACM Transactions on Evolutionary Learning and Optimization and Area/Associate Editor of several other journals. He is the director of Warwick’s Data Science for Social Good programme and also has extensive experience of working with industry in logistics, telecommunications, and engineering design.
This talk discusses the relationship between machine learning and optimisation. It demonstrates that many machine learning problems are actually optimisation problems, and could benefit from advances in operational research. On the other hand, the latest challenges in optimisation, such as parameter tuning, algorithm selection, Hyper heuristics or handling of uncertainty are actually closely related to machine learning. Furthermore, recent algorithmic developments such as Bayesian Optimisation very much blur the boundary between machine learning and optimisation, as they explicitly combine learning about the search space with optimisation.
Prof. Ziad Babai
Some contributions to forecasting and inventory control of fast and slow moving products within supply chains
Kedge Business School - France
Biography: Zied BABAI is Professor in Operations Management at Kedge Business School (Bordeaux, France). He holds a PhD in Industrial Engineering from Ecole Centrale Paris (France) where he also worked as a Teaching and Research Assistant for four years. From October 2006 to September 2008, he joined the Centre for Operational Research and Applied Statistics at the University of Salford (UK), working on a project funded by the Engineering and Physical Sciences Research Council (EPSRC, UK). He had visiting positions at Cardiff University (UK), Portsmouth University (UK) and King Saud University (KSA).
His research interests relate primarily to demand forecasting and inventory management in supply chains with a special emphasis on the development of quantitative models. He is the Editor-In-Chief of Supply Chain Forum: An International Journal (Francis & Taylor), Department Editor of IMA Journal of Management Mathematics (Oxford Press) and Associate Editor of International Journal of Production Research (Francis & Taylor)..
In an uncertain environment where the variability of customer demand has increased significantly and where inventories have become both extremely costly but also indispensable, companies are seeking to improve the management of their flows at all levels of the supply chain in order to better satisfy the final customers and reduce costs. Obviously, the better the demand forecasting procedures in place and the more appropriate the inventory control policies being utilised the higher the chances to achieve these goals.
Moreover, the complexity of supply chains has increased significantly and, nowadays, they contain a wide variety of products characterised by different demand patterns, such as fast moving products with low or high demand volatility and intermittent demand products (Intermittent demand items would also include what is often termed as slow moving items). These different demand patterns require specific approaches and methods of demand forecasting and inventory management.
This seminar aims to present some advances in the development of new approaches and methods of forecasting and inventory control for fast and slow moving products within supply chains. The developments concern not only the operational decisions in forecasting and inventory control but also strategic decisions, especially inventory classifications and customer service levels setting. The performance of the proposed approaches and methods is shown through numerical and empirical investigations using data coming from the industrial (e.g. automotive, aerospace, etc.) and retailing sectors.
Prof. Remy Houssin
The relations between optimization and invention from the point of view of the TRIZ Methodology
Head of PSc "Product and tooling Prototyping
University of Strasbourg - Faculty of Physique and Engineering - France
Biography: Remy HOUSSIN is a professor at the Faculty of Physics & Engineering University of Strasbourg, France. He is Co-head of CSIP team of the ICube laboratory. Strasbourg INSA and Head of PSc “Prototyping of Product and Tooling”.
He is Doctor in Industrial Engineering from Henri Poincaré University of Nancy (France). He works on performance evaluation, optimisation, knowledge management for innovation.
He is Editor-in-Chief of the Universal Journal of Applied Science http://www.hrpub.org/journals/jour
Optimization, invention and innovation are three complementary fields used in the academic and industrial worlds. In each one of them methods and tools are used and some of these tools and metos are used in the three fields. In this presentation, the frameworks, strengths, limitations of optimization, invention and innovation, their uses and relationship and the boundaries between them are discussed.
The particular case of the TRIZ invention method, where certain tools used in optimization for innovation are used to select the problem to be treated, optimal solution concept, etc. will also be discussed. We try to know if optimisation is completed by invention and/or innovation or that the optimisation who complete the invention.
Prof. Souhail Dhouib
Novel Optimization Methods for Combinatorial Problems: The Concept of Dhouib-Matrix (DM)
Higher Institute of Industrial Management,
University of Sfax, Tunisia,
Biography: Souhail DHOUIB is a Full Professor at the University of Sfax, Tunisia. His teaching and research interests are related to the areas of Decision Science, Computer Science and Management Science. He is the inventor of Dhouib-Matrix (DM) concept which gathers several new optimization methods: heuristics (DM-TSP1, DM-TP1, ... etc.) and metaheuristics (DM3, DM4, ... etc.).
Several problems in real-word industry are presented as combinatorial problems such as Travelling Salesman Problem (TSP), Assignment Problem (AP), Transportation Problem (TP), Short Path Problem (SPP) etc. To solve this kind of problems, we invented a new optimization concept entitled Dhouib-Matrix (DM) wherein several novel heuristics and metaheuristics are designed and developed.
Hence, to rapidly generate the minimal cycle between several nodes (TSP) we introduced the deterministic heuristic Dhouib-Matrix-TSP1 (DM-TSP1). Also, to nicely match several objects to different resources (AP), we created the Dhouib-Matrix-AP1 (DM-AP1) heuristic. Furthermore, to minimize the transportation cost of products from a certain number of sources to a certain number of destinations (TP) we invented the Dhouib-Matrix-TP1 (DM-TP1). Also, several other methods are under design.
For larger instances, we invented three novel metaheuristics: Far-to-Near (FtN), Dhouib-Matrix3 (DM3) and Dhouib-Matrix-4 (DM4). FtN is a local search metaheuristic based on an organized neighbor selection. Whereas, DM3 is centered on an iterative stochastic structure and DM4 is built around a multi-start arrangement using different descriptive statistical metrics.
All these DM methods are applied to solve combinatorial problems under crisp, fuzzy, intuitionistic and neutrosophic parameters. Moreover, their performance is proven via simulation results and compared to the performance of well-known methods in the literature.
Prof. Samir Elhedhli
Supply chain planning at times of crisis
Professor, Department of Management Sciences
Executive Director, UW Training Program in Logistics and Supply Chain Analytics
Co-director, Waterloo Analytics and Optimization Lab
Faculty of Engineering, University of Waterloo, Canada
Biography: Samir Elhedhli is a Professor at the Department of Management Sciences at the University of Waterloo with research interests in in Large Scale Optimization and Data Analytics. His work has appeared in top scientific journals such as Management Science, Mathematical Programming, Manufacturing and Service Operations Management, INFORMS Journal on Computing, IISE Transactions, and the European Journal of Operational Research among others. He held research grants from NSERC, CFI, OCE and MITACS and collaborated with industries in manufacturing, airline scheduling, and supply chain analytics. He served as president of the Canadian Operational Research Society (CORS) in 2011-2012. He is currently the co-Editor-in-Chief of its flagship journal INFOR from 2014 to 2021.
Supply Chains have been under the spotlight during the recent Covid-19 pandemic. The continuous lockdowns and distancing measures pushed demand fulfillment towards e-commerce and online shopping and strengthened the role of warehouses as the central nodes of the supply network. At the same time, the distribution of medical supplies, test kits and vaccines challenged the capabilities of supply chains to distribute efficiently, equitably, and on time, and called for new resource allocation and distribution planning models based on risk mitigation and equity. We discuss several emerging problems in these contexts and highlight the role that Operations Research can play in strategically and operationally configuring the supply chain at times of crisis. We discuss sample applications in capacity planning, e-warehousing, and supply allocation during the Covid-19 pandemic.
Prof. Imed Kacem
Polynomial approximation schemes: when standard techniques become unavoidable
Professor, Université de Lorraine
Director, LCOMS Lab.
Biography: Imed KACEM is Distinguished Professor at the University of Lorraine, France, in Computer Science. He is the Founder and the Head of LCOMS Laboratory of the University of Lorraine since 2013 (LCOMS is the Laboratory of Design, Optimization and Modelling of Systems) after being the Head of the Computer Science Department. His scientific activity is in the Operational Research. More precisely, his contributions are related to the design of exact and approximate algorithms with a guaranteed performance for the NP-hard combinatorial problems. Such problems are mainly related to the scheduling theory. The applications are interdisciplinary and various (production, packing in electronic design, healthcare, transportation, information visualization…). His contributions have been published in referred journals (Algorithmica, Theoretical Computer Science, Discrete Applied Mathematics, Discrete Optimization, Journal of Combinatorial Optimization, Journal of Scheduling, Annals of Operations Research, Applied Mathematics and Computation, Journal of Industrial and Management Optimization, Information Sciences, Computers & Industrial Engineering, RAIRO-Operations Research, IJPE, EJOR, 4OR, IJCIM, IJOR, IEEE/SMC Transactions, Computers & OR, ...). These research activities have involved the supervision of 15 PhD theses as well as several selective projects (some of them have been funded by the ANR, the European Commission, the INTERREG, the ISITE-LUE Lorraine University of Excellence, the CNRS, …). He serves as area editor or guest editor for several journals (Annals of Operations Research-Springer, Computers & Industrial Engineering-Elsevier, RAIRO-Operations Research, European Journal of Industrial Engineering, Journal of Systems Science and Systems Engineering-Springer, Decision Analytics-Elsevier…) and he gave keynote speeches or pleanry tutorials for several conferences (IEEE/CIE40, Japon (2010); FUBUTEC2011, United Kingdom (2011); IEEE/CoDIT2013, Tunisia (2013); IEEE/ICSCS2013, France (2013); DASA2016, Tunisia (2016); CIE46, China (2016), ECC'16, Switzerland (2016); IEEE/CoDIT2017, Spain (2017); META2018, Morocco (2018); AFROS2018, Tunisia (2018); ROADEF2018, France (2018)). He chaired the program committee or the organizing committee of several international conferences (IEEE/ICSSSM06 (Troyes, 2006); IEEE/CIE’39 (Troyes, 2009); IEEE/CoDIT’14 (Metz, 2014); CIE’45 (Metz, 2015); IEEE/CoDIT’16 (Malta, 2016); ROADEF2017 (Metz, 2017); MOPGP2017 (Metz, 2017); IEEE/CoDIT’19 (France, 2019); IEEE/IESM’19 (Hong Kong, 2019); JPOC’11 (Metz, 2019)). He obtained the « Great Award of Research 2010 » from the Universities of Lorraine, the 3rd Robert Faure Award 2009 from the French Society of Operational Research and Aid Decision (ROADEF), the 2015 Steffan Schwarz Award (Best Paper Award of the European Conference ECEC’2015 in Portugal), the Best Paper Award of IEEE/CoDIT2018 in Greece and he has regularly the PEDR or the PES Premium (with the highest level A) since 2006.
The objective of this tutorial is to present the used approaches for constructing polynomial approximation schemes for combinatorial optimization problems and to highlight the interest of standard techniques (dynamic programming, linear programming, integer linear programming,…) in the elaboration of such schemes for certain hard cases. We present these different construction approaches (simplification of the input instance, modification of an exact algorithm, structuring of the solution space). We also present examples of approximation obtained directly using these standard techniques (linear relaxation rounding, Primal/Dual approximation method, approximation based on local search,…).