Naoufel Cheikhrouhou

Naoufel Cheikhrouhou
Haute école de gestion de Genève | HEG

PhD

About

124
Publications
30,198
Reads
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1,194
Citations
Introduction
Naoufel Cheikhrouhou is Professor of Supply Chain, Logistics and Operations Management at Geneva School of Business Administration since 2014. Between 2001 and 2014, he lead the Operations Management group at EPFL. His main research interests are modelling, simulation and optimisation of supply chains, human factors in production management and Logistics and Hybrid forecasting methodologies, for which Dr. Cheikhrouhou received the Burbidge Award in 2003 and the BG Ing Conseil in 2014.
Additional affiliations
October 2014 - January 2022
University of Applied Sciences and Arts Western Switzerland
Position
  • Professor
Description
  • Teaching Supply chain 1 & 2 courses, Bachelor; Service Design and Engineering, Master; Economy 4.0, Bachelor; Operations Management, Executive MBA
October 2014 - present
Haute école de gestion de Genève
Position
  • Professor
September 2001 - December 2014
École Polytechnique Fédérale de Lausanne
Position
  • Head of the Operations Management Group
Education
September 1997 - January 2001
Grenoble Institute of Technology
Field of study
  • Industrial Engineering

Publications

Publications (124)
Article
Full-text available
Demand forecast is a critical determinant of order quantity under newsvendor problem (NVP) framework and warrants major revision in the event of changing circumstances or happening of some unforeseen events having potential to alter the demand. Retailers of single period products such as fashion apparels are required to pass their orders far ahead...
Article
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This paper introduces the principles of a unified language devoted to the area of competence-based enterprise modelling. The language, named UECML, for Unified Enterprise Competence Modelling Language, is intended to provide a neutral interface to enterprise modelling based on competences. Therefore, it is built on previous languages, especially Un...
Article
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This work presents a “3 steps–2 aggregation levels” methodological approach for modelling the evolution of the hybrid demand order flow pattern over long time horizons. The hybrid demand is the result of the mutual interaction between the e-commerce and the traditional demand. Thus, its modelling requires a complex analysis at various aggregation l...
Article
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This work develops a multi-objective, two-stage stochastic , non-linear, and mixed-integer mathematical model for relief pre-posit ioning in disaster management. Improved imbal-ance and efficacy measures are incorporated into the model based on a new utility level of the delivered relief commodities. This model considers the usage possibility of a...
Article
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The food grain production in India has progressively risen in the past few decades, whereas the storage capacity has remained limited. The policymakers in India are attempting to close this capacity gap while addressing sustainability objectives. However, the quantification and integration of multiple social sustainability factors have remained a c...
Article
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In this paper, a new strategic analysis method is introduced, called the ten-element analysis (TEA) method to determine the firm’s strategic position in the market. The new method is grounded on the computation of the reflections of the external factors on the firm’s internal factors through the changes of the values of the internal factors through...
Article
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Due to the nature of the agricultural and food industry, the management of production, storage, transportation, waste disposal and environmental effects of their production, are of great importance. To deal with the sustainability issues linked to their supply chains, we propose in this study a mathematical model to design a sustainable supply chai...
Article
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Lot-sizing and scheduling are a well-known problem. However, there are only few works addressing the problem in the food industry. We propose a mixed-integer-programming model for the lot-sizing and scheduling problem in a dairy production process. The latter is composed of standardisation tanks that can store different types of flavours and ultra-...
Article
Purpose – This paper proposes a new multi-criteria decision-making method, called the vital-immaterial mediocre method (VIMM), to determine the weight of multiple conflicting and subjective criteria in a decision-making problem. Design/methodology/approach – The novel method utilizes pairwise comparisons, vector-based procedures and a scoring appro...
Article
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Blockchain has the potential to improve sustainable food security due to its unique features like traceability, decentralized and immutable database, and smart contract mechanisms. However, blockchain adoption is still in the naïve stage. To this effect, this article aims to identify blockchain drivers to achieve sustainable food security in the In...
Article
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Supplier evaluation is a complex multi-criteria decision-making (MCDM) problem that deals with assessment of suppliers as the potential alternatives against various types of criteria. We consider the context where decision makers (DMs) have complete information about the suppliers and criteria. To address the needs of decision makers, a multi-crite...
Article
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Purpose Big data is relevant to the supply chain, as it provides analytics tools for decision-making and business intelligence. Supply Chain 4.0 and big data are necessary for organisations to handle volatile, dynamic and global value networks. This paper aims to investigate the mediating role of “big data analytics” between Supply Chain 4.0 busine...
Preprint
Full-text available
This paper investigates attitudinal and behavioral factors for Consumer Engagement (CE) in Online Communities of Fortnite. We develop an approach based on an online experimental survey and the Response Time Testing (RTT) method, which allows measuring the level of accessibility of attitudes. The results reveal that the affective dimension of consum...
Conference Paper
Full-text available
This paper investigates attitudinal and behavioral factors for Consumer Engagement (CE) in Online Communities of Fortnite. We develop an approach based on an online experimental survey and the Response Time Testing (RTT) method, which allows measuring the level of accessibility of attitudes. The results reveal that the affective dimension of consum...
Conference Paper
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Efficiency and resilience of the clinical trials supply chain are of particular prevalence in the current global context. The unique characteristic of the reverse logistics flow in the supply chains for clinical trials is the foundation for the digital transformation framework presented in this paper. This paper proposes a novel framework that inte...
Article
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The paper addresses the design of a sustainable multiple-channel fresh food distribution network, which serves three purposes. Firstly, it addresses the changing preferences of consumers for online retailing. Secondly, the model investigates the distribution network of Buy Online Pickup in Store (BOPS) in the context of food supply chain. Thirdly,...
Article
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Collaborative Networked Organisations (CNO) are a means of ensuring longevity and business continuity in the face of a global crisis such as COVID-19. This paper presents a multicriteria decision making method for sustainable partner selection based on the three sustainability pillars and Risk. Design/methodology/approach: A combined Analytic Hiera...
Article
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The buffer allocation problem in production lines is an NP-hard combinatorial optimisation problem. This paper proposes a new hybrid optimisation approach (using simulation) relying on genetic algorithm (GA) and finite perturbation analysis (FPA). Unlike the infinitesimal perturbation analysis, which deals with small (infinitesimal variation) pertu...
Article
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Purpose Demand forecasting models in companies are often a mix of quantitative models and qualitative methods. As there are so many existing forecasting approaches, many forecasters have difficulty in deciding on which model to select as they may perform “best” in a specific error measure, and not in another. Currently, there is no approach that ev...
Conference Paper
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Particle Swarm Optimization (PSO) is a heuristic optimization algorithm based on the modeling of the behavior of fishes and birds flock. This paper proposes a better version of PSO, named Dynamic Cognitive-Social PSO "DCS-PSO", for global minima search by introducing optimal and dynamic cognitive and social scaling parameters without taking into co...
Article
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Big Data Analytics (BDA) has attracted significant attention from both academicians and practitioners alike as it provides several ways to improve strategic, tactical and operational capabilities to eventually create a positive impact on the economic performance of organizations. In the present study, twelve significant barriers against BDA impleme...
Article
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In this paper, a new theory is introduced called orbital systems theory to handle the uncertainty of the natural phenomena, the complicated real-world problems, and the human’s decision-making process which naturally creates the inconstancy and uncertainty in each process it involves. The philosophy of the new theory is established based on this hy...
Article
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In this paper, a new theory is introduced called orbital systems theory to handle the uncertainty of the natural phenomena, the complicated real-world problems, and the human's decision-making process which naturally creates the inconstancy and uncertainty in each process it involves. The philosophy of the new theory is established based on this hy...
Article
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Growing food demand, environmental degradation, post-harvest losses and the dearth of resources encourage the decision makers from developing nations to integrate the economic and environmental aspects in food supply chain network design. This paper aims to develop a bi-objective decision support model for sustainable food grain supply chain consid...
Article
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The 9th Conference on Management and Engineering of Healthcare Systems (GISEH) took place in Geneva in August 2018 and was co-organised by the Geneva University Hospitals and the Geneva School of Business Administration, University of Applied Sciences Western Switzerland. The main topic of the conference was the management and the improvement of th...
Article
Shipping logistics is one of the very important criteria which can directly and indirectly affect the economy and GDP of any country. Shipping logistics depends on various factors which have been addressed by several authors in their previous studies. Studies in this literature are focused on selecting the most impactful factors among all the crite...
Article
Home care services are an alternative answer to hospitalization, and play an important role in reducing the healthcare costs for governments and healthcare practitioners. To find a valid plan for these services, an optimization problem called the home healthcare routing and scheduling problem is motivated to perform the logistics of the home care s...
Article
This paper addresses the development of a multi-criteria decision making (MCDM) procedure including a pattern extraction from success and failure of current market introduction to generate a logical framework for target market selection. In addition of covering the gap of comprehensive research in Iran's domestic dairy market, using combined MCDM m...
Conference Paper
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In recent years, the rapid growth of e-commerce creates the opportunities for the logistics service provider. In this study, we developed an e-commerce logistics network for vehicle routing problem in order to minimize the total distance, which has a direct relation to the travel time, and formulated a mixed integer nonlinear programming (MINLP) mo...
Conference Paper
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In this paper, we have addressed a problem related to forward and reverse logistics design for refurbished products. Nowadays, E-commerce firms have started recycling used products and selling them in the market as refurbished products. To address this, a mixed integer nonlinear programming (MINLP) model is proposed to minimize the total expected c...
Article
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Choosing the right professional that has to meet indeterminate requirements is a critical aspect in humanitarian development and implementation projects. This paper proposes a hybrid evaluation methodology for some non-governmental organizations enabling them to select the most competent expert who can properly and adequately develop and implement...
Article
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The truck scheduling problem is one of the most challenging and important types of scheduling with a large number of real-world applications in the area of logistics and cross-docking systems. This problem is formulated to find an optimal condition for both receiving and shipping trucks sequences. Due to the difficulty of the practicality of the tr...
Conference Paper
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This paper proposes a methodology to select an expert for the development of humanitarian and social projects based on multi-criteria decision-making with incomplete information relations to add more objectivity to the recruitment process. The proposed approach starts with assessing the decision makers (DMs) by means of Fuzzy Analytic Hierarchy Pro...
Article
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Retailers of short lifecycle products, such as life and style goods, are required to commit an order with their suppliers far ahead of their selling seasons using scant demand information. Most of the time, they practice pre‐season two‐stage single ordering (instants) model that provides an opportunity to modify an initial order based on an updated...
Article
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This work develops a multi-objective linear programming model for a multi-echelon, multi-product, multi-period supply chain planning. This model considers all dimensions of sustainable development paradigm simultaneously and expands six objective functions for making the model realistic. To solve this model and large-scale sustainable supply chain...
Article
Inventory managers do not predominantly follow normative optimisation models. At best, they introduce a level of bounded rationality in their inventory replenishment decisions. This paper examines the behaviour of inventory decision-makers under continuous review in a decentralised supply chain, using an experimental approach with unknown market de...
Article
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To ensure all products as perfect, inspection is essential, even though it is not possible to inspect all products after producing them like some special type products as plastic joint for the water pipe. In this direction, this paper develops an inventory model with lot inspection policy. With the help of lot inspection, all products need not to b...
Article
Agricultural supply chain management includes all the events involved in moving products of the agricultural sector from the field to the customer, and is a crucial aspect ensuring the rich contribution of the agricultural sector to the economic growth of the nation. The purpose of this paper is to add value to the present knowledge base by ascerta...
Conference Paper
Full-text available
Demand forecast is the most influential input into enterprise activities planning thus creating a challenging issue for Demand Planning experts in model selection. Models including quantitative, qualitative and hybrid forecasting methods have been developed and are widely used. The literature reveals the use of several case-dependent error measures...
Article
Keywords: Electric vehicle Dial-a-ride problem Battery swapping Evolutionary variable neighborhood search metaheuristic algorithm A B S T R A C T The Dial-a-Ride Problem (DARP) consists of designing vehicle routes and schedules for customers with special needs and/or disabilities. The DARP with Electric Vehicles and battery swapping stations (DARP-...
Conference Paper
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Home healthcare and home care depots are facing increasing demands and costs all over the world, because the increase of the number of dependent people that constitutes an important percentage of population and the growing necessity of some patients with special needs for support. Researchers are attracted by this issue that presents interesting cu...
Article
In the context of home healthcare services, patients may need to be visited multiple times by different healthcare specialists who may use a fleet of heterogeneous vehicles. In addition, some of these visits may need to be synchronized with each other for performing a treatment at the same time. We call this problem the Heterogeneous Fleet Vehicle...
Conference Paper
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In this paper, we propose a new approach concerning the ontological model of competence based on the Deming wheel in order to facilitate the communication and understanding of information that ensures proper competence management of resources within the company. Ontology constitutes a pertinent mean to define and to manage competencies and knowledg...
Article
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In a supply chain, the importance of information elicitation from the supply chain players is vital to design supply chain network. The rationality and self-centredness of these players causes the information asymmetry in the supply chain and thus situation of conflict and non-participation of the players in the network design process. In such situ...
Article
The current paper aims to develop an effective and integrated MCDM model for the evaluation of the sustainability practices in the banking services, employing a multi-stage, fuzzy MCDM model that integrates the Balanced Scorecard, fuzzy AHP and fuzzy TOPSIS. The approach aims to evaluate sustainability from the following four perspectives: financia...
Article
Berth allocation and material handling problems in ports are generally solved independently. This article provides a framework for aligning allocation decisions of berth and ship un-loader in an integrative manner. The ultimate goal of these decisions is to minimize the waiting time, operating time and ships priority deviation. As the sojourn time...
Article
Generally, each member of a supply chain (SC) optimises his own individual objective and accordingly, plans his activities (e.g. production operations, inventories) without considering a global perspective. The goal of this work is the development of a multi-objective optimisation model for cooperative planning between different manufacturing plant...
Conference Paper
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Logistics section is one of the most important industrial sections to contribute to European economy. To improving efficiency and energy efficient of logistics, European Commission call new research theme ‘smart, green and integrated transport’ in its H2020 program. The paper presents a version on providing a cloud based platform for supporting big...
Conference Paper
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Supply Chains have to be designed and managed holding simultaneously into account many different performance measures. Moreover, modern Supply Chains have to ensure satisfying performances despite an increasing degree of complexity and market uncertainty as well as be capable to limit the negative impacts of disruptive events. A multi-criteria robu...
Conference Paper
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The literature reveals the complexity of identifying the attributes, the factors and the mechanisms that would influence trust between supply chain partners. Moreover, the way trust influences the performance of a supply chain is still a subject that remains to be thoroughly researched since trust is a subjective issue that has several dimensions....
Conference Paper
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This paper aims to develop a decision support system for bulk material handling ports in relation to ship scheduling and discrete berth allocation. Ship scheduling according to available discrete berths and to customer priority is a complex problem. A multi-objective formulation is then proposed to model the problem in minimizing ship waiting times...
Article
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This study was conducted to review the literature on full truckload (FTL) transportation service procurement and to identify the gaps from the perspectives of researchers and practitioners. FTL procurement in particular was reviewed because it is encountered more than others forms of procurement in freight movement, and it involves numerous challen...