Naoufel Cheikhrouhou

Haute école de gestion de Genève | HEG

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...

Today, operational managers are experiencing difficulties in selecting the software that best suit their increasing number of requirements. Decision makers need to clarify what their needs are, what these packages offer and which software packages best fit their needs. Among these tools, collaborative software are tools needed to run and manage tea...

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...

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...

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...

Industry 5.0 ecosystems focus on a human-centric approach to operations and supply chain management by integrating stakeholders, advanced technologies, and processes. While incorporating social media (SM) information into demand forecasting can significantly improve accuracy, it also brings about several challenges. This paper proposes an approach...

This study addresses the role of implicit attitudes toward risk in inventory management, specifically in the context of the newsvendor problem (NVP). Using the Implicit Association Test (IAT), we explore how implicit attitudes toward risk influence newsvendors' ordering decisions, focusing on deviations from profit-maximising solutions. Our methodo...

Purpose This paper aims to explore the underlying intention behind using blockchain technology (BLCT) in the agri-food supply chain (AFSC). This is achieved by using a conceptual framework based on technology acceptance models that considers various factors influencing user behavior toward implementing this technology in their practices. Design/me...

Collaborative Networked Organisations (CNOs) are increasingly recognised for their ability to harness cooperation and complementary competencies, outperforming individual efforts in pursuing business opportunities. However, the criticality of selecting the right long‐term partner for a CNO has been understated, especially considering the evolving l...

This book presents the select proceedings of the 2nd International Conference on Intelligent Systems and Applications 2023. The theme of this conference is ‘Intelligent Systems for Smart Cities'. It covers the topics of intelligent systems in multiple aspects such as healthcare, supply chain and logistics, smart homes and smart structures, banking...

This paper presents an approach based on Genetic Algorithm (GA) and Infinitesimal Perturbation Analysis (IPA) technique to maximize the production rate in unreliable production lines. Unlike Traditional optimization techniques based on simulation which require a large number of simulations runs to find the optimal solutions, the proposed approach u...

Unreliability of the manufacturer is a challenging issue for a retailer in order to provide service to consumers and meet the market demand. Due to the unreliability of the manufacturer, the lead time increases, causing shortages. In turn, the retailer faces huge shortages and losses. The lead time can be minimized by reducing the flow time during...

This paper introduces a modeling methodology for Assembly/Disassembly (AD) systems, proposing an effective simulation-based optimization approach. The objective is to simultaneously determine optimal allocations of service times and buffer sizes within unreliable AD systems, ultimately aiming to maximize the production rate. Our method integrates a...

Various industries are gradually sifting away from the linear economy and toward the circular economy (CE), but its advancement is crawling far behind the environmental contamination by the food processing industry in developing countries. Hardly any research analyzes the CE performance of food processing small- and medium-sized enterprises (FPSMEs...

The proposed study aims to identify the major challenges for blockchain adoption to manage reverse logistics activities of recyclable hospital waste in the Indian healthcare sector, in the COVID era. Fifteen challenges are identified through literature review and experts’ views and are prioritized and analyzed for cause-and-effect relationships usi...

Over the past half-century, the Buffer Allocation Problem (BAP) in production lines has remained a topic of continuous interest and research. In this context, the BAP refers to determining the optimal allocation of buffers along a production line to maximize efficiency and productivity. This paper presents a novel approach to address the BAP in unr...

Data from social media is increasingly being utilized to better understand consumer preferences and prospective future demand. In this paper, the Interpretive Structural Modeling (ISM) and the Decision Making Trial and Evaluation Laboratory (DEMATEL) approaches are used to identify the interdependencies and cause-effect between social media attribu...

Research in the field of Higher Education in Emergencies (HEiE) starts to question the imposed Global North-centred perspective which arrives with ready-made solutions, considering refugees as objects of intervention rather than subjects of transformation. Leveraging the broader topics of Open Science and Open Education, this paper pioneers a new a...

Purpose Hospital structures serve to protect and improve public health; however, they are recognized as a major source of environmental degradation. Thus, an effective performance evaluation framework is required to improve hospital sustainability. In this context, this study presents a holistic methodology that integrates the sustainability balanc...

Simultaneous allocation of service times and buffer capacities in manufacturing systems in a random environment is a NP-hard combinatorial optimisation problem. This paper presents a sophisticated simulation-based optimisation approach for the design of unreliable production lines to maximise the production rate. The proposed method allows for a gl...

Supply chain practitioners are striving to improve the performance of agri‐food supply chains (AFSC) due to the lack of understanding of the mutual impacts of lean, agile, resilience, and green (LARG) practices in improving the performance of AFSC. There is a lack of specific methods to assess the power of their subsequent attributes. This paper id...

Clinical trials companies are increasingly digitalising their reverse logistics flow supply chains to increase visibility and monitoring of their specimens using Internet of Things (IoT) devices, however the large number and diverse range of IoT solutions make it difficult to select the most appropriate one for the closed-loop supply chain of clini...

Co-innovation between digital platforms and complementors is motivated by their interactions, especially on content creation platforms that emphasise creativity. With the platform monopoly, creators are increasingly dependent on the platform thus making the interaction directional. As the long-term effect of the dependency effect on co-innovation u...

This article addresses the issue of education in the knowledge society. More precisely, it suggests conceptualizing Open Education as a supply chain in the form of a network of responsible citizens who switch roles and participate meaningfully in all education endeavours. This results in co-designing learning paths and creating common goods in the...

The reverse logistics network (RLN) design for sustainable supply chain management is a strategic decision in network configuration, and is higher influenced by uncertainty. This paper applies a bi-level stochastic multi-objective model to design an RLN for a disposable product recycling management system. The goal is to balance the overall network...

Blockchain (BLC) and the Internet of Things (IoT) are two emerging technologies that have become popular among practitioners for improving the transparency, adaptability, and safety of any industry. This is especially critical for food security, as COVID-19 highlighted the vulnerability of food supply chain (FSC). However, Indian organizations are...

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...

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...

In this chapter, we aim to find a mathematical solution to compute the impact between two irrelevant decision matrices in a complex decision-making problem using multiple-criteria decision-making (MCDM) methods. The existing MCDM methods merely provide solutions for the one-stage decision-making procedure and do not take other effective variables o...

Nature-inspired metaheuristics have been extensively investigated to solve challenging optimization problems. Particle Swarm Optimization (PSO) is one of the most famous nature-inspired algorithms owing to its simplicity and ability to be used in a wide range of applications. This paper presents an extended PSO variant, namely, Exponential Particle...

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...

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-...

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...

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...

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...

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...

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...

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...

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...

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,...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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-...

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...