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Said Gattoufi

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Said Gattoufi
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Professeur

Biographie courte

Professor Said Gattoufi holds a Bachelor’s degree in Mathematics, an MBA, and a Ph.D. in Management Science and a Habilitation to conduct research in Quantitative Methods (Business Analytics). He is currently a full Professor at the Institut Supérieur de Gestion de Tunis, where he also serves as a Research Director at the SMART lab. Over his distinguished career spanning more than three decades, Professor Gattoufi has established himself as a distinguished university teacher, a leading researcher, a knowledgeable consultant, and a highly skilled corporate trainer.
Dr. Gattoufi has published over 60 papers in renowned academic journals cumulating over 1400 citations. His research primarily focuses on business analytics, with a particular emphasis on efficiency analysis through various Data Envelopment Analysis (DEA) models based on convex envelopment of data. He has developed innovative models to assess efficiency and enlighten decision making processes with applications in finance, particularly mergers and acquisitions in banking, in insurance as well as in healthcare. He has suggested genuine intelligent algorithms to solve complex optimization and inverse optimization problems derived from DEA basic models.
Throughout his career, Professor Gattoufi has supervised many doctoral and master theses in Tunisia and abroad, guiding research on topics closely aligned with his areas of expertise. He produced research in a variety of topics and applications in business analytics synergizing with data science and its confirmed intelligent tools, mainly machine learning, to widen the scope of DEA and strengthen its analytical nature.
He has visited universities in more than 40 countries to participate in over 100 international conferences as a speaker or as an organizer, contributing significantly to the global academic community and disseminating his genuine research.

Équipes

Axes de recherche

Data Envelopment Analysis

Publications

  • 2025
    Said Gattoufi, Nabil Ktifi, Mokhtar LAABIDI

    Data Envelopment Analysis for Mergers and Acquisitions Transactions: Avenues of Research Toward Efficiency Gains

    Data-envelopment-analysis-mergers-acquisitions, 2025

    Résumé

    The aim of this chapter is to explain in a simple way, without complications of mathematical modeling, a set of concepts and emphasize their interconnections and combinations in a large body of knowledge they created and emphasize the theoretical and applied benefits. In today's business world marked by profound changes and technological challenges, global companies are in fact developing strategies to improve their profitability and efficiency while adapting to geopolitical changes. To strengthen their resilience, they are increasingly turning to restructuring, partnership re-engineering, and mergers and acquisitions (M&A) to consolidate their market position and increase their chances of survival. This book chapter analyses in its first part a large set of research papers related to this topic. Among the approaches and methodologies adopted for analyzing this dynamic, we explain the Data Envelopment Analysis (DEA) methodology and its variants and emphasized on the assessment of the efficiency gains realized through mergers, acquisitions, takeovers, splits, consolidations and restructuring. The related literature, referenced in SCOPUS, is analyzed and the features of this literature are identified and analyzed, emphasizing the most influencing authors and the topics of their research. Finally, the concluding section synthetizes the interconnections between DEA and its variants as a tool from one side and the restructuring and consolidation dynamics of businesses, mainly M&A, from the other side. Several topics are suggested to widen this body of knowledge and boost its impact on goods and services industries and improve understanding production processes in a variety of sectors.
  • Chaima Romdhani, Jihene Tounsi, Said Gattoufi

    Lateral Transshipment in Two-Echelon Inventory Control for Sustainable Pharmaceutical Supply Chain

    Conference: 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), 2023

    Résumé

    Efficient inventory management (IM) presents an
    important key driver for supply chain (SC) sustainability.
    This latter becomes a crucial concern for decision-makers and
    managers in all domains, particularly in the matter of sensitive
    areas that affect human well-being, namely the pharmaceutical
    industry. Medicines IM for a sustainable Pharmaceutical Sup-
    ply Chain (PSC) brought further particularities compared to
    the traditional SCs. Besides the economic preoccupation, social
    and environmental issues might be considered. In this work, we
    assess the impact of the Lateral Transshipment (LT) strategy on
    the sustainability of the IM process. We compare the total costs
    of two cases, IM with and without LT strategy. We propose an
    IM model that seeks the optimal replenishment order quantity
    of multiple types of products and the shipment time in a
    two-echelon PSC under a centralized setting. The considered
    PSC consists of a pharmaceutical company (PC), a Pharma-
    distributor (PD), and multiple hospitals. The mathematical
    model takes into account the transportation costs including LT
    costs -in the case when LT is included- as well as shortage,
    and products with high deterioration rate costs. We attempt
    to minimize unused medicines leftover by minimizing the
    deterioration rate of products at both distributor and hospital
    sites.

  • Chaima Romdhani, Jihene Tounsi, Said Gattoufi

    Two-echelon Inventory Management for Sustainable Pharmaceutical Supply Chain through Waste Reduction

    10th IFAC Manufacturing Modelling, Management and Control ConferenceAt: Nantes, France, 2022

    Résumé

    Improving sustainability in Pharmaceutical Supply Chain (PSC) becomes theprimary concern for its involved members. It lends major challenges to its management as it haseconomic, social, and environmental responsibilities more weighed than other supply chains.Providing the day-to-day need for medicines must be satisfied while taking into account theuse of the economic resource, customer satisfaction, and the impact of pharmaceutical wasteon the environment. Medicines waste affects healthcare expenses and harms the environment.Therefore, avoiding unused medication leftover through the pharmaceutical chain presents anefficient approach to attaining a sustainable supply of medicines. This article aims to deal withthe sustainability of a PSC by minimizing the deterioration rate of medicines at both distributorand hospitals sites. We propose an inventory management model based on a mixed-integernon-linear program (MINLP) that seeks the optimal replenishment order quantity of multipletypes of products and the shipment time in a two-echelon PSC consisting of a pharmaceuticalcompany (PC), a central pharmacy (CP), and multiple hospitals over a planning horizon, whileconsidering shipment costs, perishability, and shortage constraints.