Laoucine Kerbache | HEC Paris (original) (raw)

Papers by Laoucine Kerbache

A Review of Decision Support Systems in the Internet of Things and Supply Chain and Logistics Using Web Content Mining

Supply chain analytics, Jun 1, 2024

Proceedings of the International Conference on Industrial Engineering and Operations Management

Artificial Intelligence (AI) through Machine Learning (ML) along with Natural Language Processing... more Artificial Intelligence (AI) through Machine Learning (ML) along with Natural Language Processing (NLP) and Optical Character Recognition (OCR) technologies can read and understand texts, then extract important information from a document and check its compliance with other documents or set of laws or rules under predefined parameters which allows the system to interpret data and take decisions. Fintechs have developed AI-based software to take the checking role as a replacement for the current highly manual process of document examination under trade letter of credit (LC) process, which is time-consuming, labor-intensive, and requires skilled and experienced staff to examine the documents for compliance with the terms and conditions of the LC and applicable rules. This paper reports our preliminary studies in using AI and ML in document checking and examination. Specifically, we conducted experiments to compare AI and deep learning results with human checking experts' results. Our findings showed a significant reduction in errors and processing times using this automation and an increase in operational efficiency and optimization of resources. AI-based solution does not mean digitization as human intervention is still required for discrepancies articulated by the automated checks, but it is an important automation step that can assist in the development of hybrid solutions aligning paper to digital toward complete digitization of the trade process under the supply chain.

Multi-objective simulation-based optimization for the optimal design of analog circuits

ICM 2011 Proceeding, 2011

We present a multi-objective simulation-based optimization tool. The proposed tool can handle a l... more We present a multi-objective simulation-based optimization tool. The proposed tool can handle a large variety of analog circuits since it is able to include a large spectrum of performances. Application examples are presented to show viability of this tool. Two current mode circuits are considered, namely a conventional second generation CMOS current conveyor and a differential based current conveyor. The

Drug counterfeits have been a severe international issue for almost two decades, and the latest s... more Drug counterfeits have been a severe international issue for almost two decades, and the latest statistics show that fake medications will continue to penetrate legitimate pharmaceutical supply chains to fulfill the desperate need of different segments of patients. Therefore, identifying the issues faced by the pharmaceutical supply chain is essential to understand better and combat the drug counterfeited issues, which require technological implementation and their applications in various phases of the pharmaceutical supply chain to gain better visibility and ensure safety. In this regard, a review has been conducted to fulfill the following objectives: (i) Review the application of traceability technologies in various pharmaceutical supply chain phases to detect and solve counterfeit issues. (ii) Analyze the various barriers affecting establishing a safe pharmaceutical supply chain and the critical success factors to overcome those barriers. (iii) Develop a conceptual framework for showing the influence of technologies and success factors on overcoming the various barriers in different phases of the pharmaceutical supply chain. Recent statistics show that counterfeit drugs will continue to penetrate the legitimate pharmaceutical supply chains and target more significant patient segments. Furthermore, smugglers and counterfeiters will also continue to target all phases of the pharmaceutical supply chain. This study developed a conceptual framework for achieving a safe PSC by demonstrating the influence of traceability technologies and success factors on overcoming the various barriers in different phases of the PSC. The critical finding of this review was that the traceability technologies and the critical success factors have a significant influence on overcoming the barriers in establishing a safe PSC.

The wastewater utility industry serves a critical function for a nation's growth and is one of th... more The wastewater utility industry serves a critical function for a nation's growth and is one of the essential pillars for a healthy infrastructure system. Efficient operations and maintenance of wastewater infrastructure heavily rely on material and equipment available at the right time in the right quantities. Therefore, making correct inventory management strategic decisions a paramount necessity to gain cost efficiencies. At present, a common practice in the industry for decision making is entirely dependent on the experience of the team or individuals in the decision-making process. In this research, strategic inventory management decision-making tools are developed for the wastewater utility industry. The tools include an inventory management maturity framework, a qualitative and quantitative material-specific inventory management sourcing policy selector. The maturity model developed takes into account criteria related to cost, culture, process, and technology from industry practitioners' experience and their envisioned future. The qualitative decision-making tool is demonstrated using sample data intended to be acquired from a global survey. The quantitative decision tool is demonstrated by performing economic assessment simulations of various scenarios, by investigating a case study for inventory management sourcing policies, using in-house and performance-based contracts for mobile flood mitigation pumps. The findings highlight the selection decision should be driven by forecasted equipment utilization. With a trend indicating lower utilization is economical with outsourcing through Performance Based Contract (PBC), while higher utilization is economical using the in-house option. At the same time, the cost parity point for the inventory management policies under investigation can vary according to the equipment output capacity, in this case, the flow rate. The tools developed in this research have the potential to be extended to other industries to assist in strategic decision making, where operations and maintenance works are performed.

Delivering chemotherapy at home or in mobile chemotherapy units has become increasingly popular d... more Delivering chemotherapy at home or in mobile chemotherapy units has become increasingly popular due to its convenience and patient-centered approach. However, the high demand, complexity, and stochasticity of the Outpatient Chemotherapy Process (OCP) can lead to inefficiencies in implementing these services. To address this gap in the literature, this study presents a decision support framework and operational model for optimizing the OCP with the inclusion of home-based and mobile chemotherapy services. Data-driven research and relevant literature have been integrated to formulate the decision-making process in the proposed decision support framework. A mathematical model is developed to determine the patient and nurse assignments to outpatient department, home, or mobile chemotherapy services, as well as appointment scheduling. A discrete event simulation model is employed to solve the proposed model and determine the performance measures. The optimization experiment included various demand scenarios, and the results showed the value of implementing home-based and mobile chemotherapy services on patient waiting time and staff overtime under all the considered scenarios compared to a baseline. Finally, implementation and modeling strategies have been proposed for scholars and decision-makers to build on this work and benefit from its findings.

Flexible Services and Manufacturing Journal, Sep 6, 2023

Material handling systems (MHSs) are an integral part of logistics functions in manufacturing and... more Material handling systems (MHSs) are an integral part of logistics functions in manufacturing and service organizations. Material handling equipment (MHE) is considered the pivotal actor of any given MHS. Decisions ranging from the strategic level, such as selecting the proper MHE, capacity, and ownership (in-house or outsourcing) to operational level decisions such as resource allocation, scheduling, and routing of MHEs, are critical to the efficiency of an MHS. Industry practitioners use various methods and tools to evaluate these MHSs to find the best policies for their operations. This study identifies past works related to the performance evaluation and optimisation of MHSs using queueing network models. Moreover, this study provides a comprehensive analysis of identified research questions. The study methodology adopts a systematic literature review, bibliometric, and content analysis techniques proposed in similar research studies. This study provides material logistics scholars and practitioners with a thorough understanding of queueing networks as a modelling tool for analysing MHS applications in various domains.

Carsharing has become increasingly popular in recent years as a sustainable transportation soluti... more Carsharing has become increasingly popular in recent years as a sustainable transportation solution, offering individuals access to shared vehicles on a short-term basis. One-way carsharing, in particular, presents unique challenges due to its flexible nature, allowing users to pick up and drop off vehicles at different locations within a designated service area. This flexibility increases the service ridership but comes at the expense of vehicle imbalance among the stations, as some stations may have excess vehicles while other stations have vehicle shortages. Therefore, carsharing companies need to decide on strategies to ensure a balanced distribution of vehicles among the stations. This is essential as unbalanced vehicle distribution can lead to the unavailability of vehicles when needed or, conversely, result in an increased number of unnecessary rebalancing trips, thereby exacerbating traffic congestion and environmental pollution. Such issues can potentially undermine the ove...

Logistics

Background: the advent of Industry 4.0 (I4.0) innovations has revolutionized supply chain managem... more Background: the advent of Industry 4.0 (I4.0) innovations has revolutionized supply chain management through technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) integrated into procurement processes. Methods: this study addresses a critical knowledge gap by conducting a comprehensive review of 111 papers sourced from the Scopus database. These papers are classified into seven sub-themes encompassing I4.0 or procurement 4.0 (P4.0), big data, IoT, additive manufacturing, blockchain, e-procurement, and AI. Results: the investigation reveals that I4.0 technologies, particularly e-procurement and blockchain, have garnered substantial attention. Such technologies offer diverse value propositions, encompassing streamlined supplier evaluation, lead time reduction, cost optimization, and enhanced data security. Conclusion: the paper underscores pivotal trends and insights for the evolution of Procurement 4.0, illuminating a path toward more efficient supply chain ...

Towards Smart Society: Deployment of Drones in Optimizing the Allocation of Covid-19 Vaccines, the Case of Qatar

Proceedings of the International Conference on Industrial Engineering and Operations Management

Proceedings of the International Conference on Industrial Engineering and Operations Management

Procurement is the process that manages business relationships of suppliers, including negotiatio... more Procurement is the process that manages business relationships of suppliers, including negotiations or services, and plays a key role for the success of many companies. In this work we discuss some of the important aspects around procurement (and towards Procurement 4.0), including the main drivers, challenges, remedies, and benefits. The main drivers are related to efficiency improvements, risk minimization and reducing human efforts in procurement process. The challenges include the adaption to Procurement 4.0, data security and lack of employee trainings. The mainly remedies concern technology and data management. The benefits of improved procurement are process optimization with digitization, skilled supplier selections, on time demand fulfillment, and on time invoicing management. Recommendations for industrial procurement are provided aiming for achieving improved operations.

Applied Sciences

Infant formula milk (IFM) is critical in the diet of many babies and must be of high-quality. Unf... more Infant formula milk (IFM) is critical in the diet of many babies and must be of high-quality. Unfortunately, IFM has been a target of adulteration by those attempting to make illegal profits and has suffered from contamination-related issues. This study’s main objective was to identify the most critical risks affecting IFM quality in the supply chain and determine mitigation strategies to improve IFM performance measurement. We developed a model to reduce adulteration and contamination rates in the infant formula milk supply chains (IFMSCs) and maximize safety. The steps to achieve the study’s objectives included: (1) identifying the importance of IFMs for infant nutrition and their risks; (2) establishing mitigation criteria for evaluating IFMSC’s performance to maximize quality; and (3) analyzing each mitigation criterion to maximize IFM safety. Based on pairwise comparisons by professionals in the food supply chain (FSC) of decision-making, the Analytic Hierarchy Process (AHP) mo...

Processes

Over the last decade, there has been an increased interest in public health measures concerning f... more Over the last decade, there has been an increased interest in public health measures concerning food quality and drug safety in supply chains and logistics operations. Against this backdrop, this study systematically reviewed the extant literature to identify gaps in studying food quality and drug safety, the proposed solutions to these issues, and potential future research directions. This study utilized content analysis. The objectives of the review were to (1) identify the factors affecting food quality and possible solutions to improve results, (2) analyze the factors that affect drug safety and identify ways to mitigate them through proper management; and (3) establish integrated supply chains for food and drugs by implementing modern technologies, followed by one another to ensure a multi-layered cross-verification cascade and resource management at the different phases to ensure quality, safety, and sustainability for the benefit of public health. This review investigated and...

Bridging the Parcel Delivery Last Mile Gap in Qatar: Challenges and Enhancements

IFAC-PapersOnLine

Processes

People with type 1 diabetes require insulin, a lifesaving and essential medication, to maintain t... more People with type 1 diabetes require insulin, a lifesaving and essential medication, to maintain their blood sugar levels below dangerous levels. Unfortunately, the insulin industry faces supply and affordability issues, and patients and their families face an enormous burden. As a result of high prices and lack of availability, individuals are turning to other options for purchasing insulin, such as online pharmacies, which may or may not be legitimate. Despite the necessity of safe insulin for diabetics in the legitimate Pharmaceutical Supply Chain (PSC), few researchers have considered implementing strategies to maximize patient safety for purchasing insulin. Therefore, the current research seeks to bridge this gap and provide cohesive information on overcoming this challenge and maximizing insulin safety. This study employs a Multi-Criteria Decision-Making (MCDM) model that combines Supply Chain Operations Reference (SCOR) metrics, Analytic Hierarchy Process (AHP), and Technique ...

Methods and Protocols

Drug counterfeits have been an international issue for almost two decades, and the latest statist... more Drug counterfeits have been an international issue for almost two decades, and the latest statistics show that fake medications will continue to penetrate legitimate pharmaceutical supply chains (PSCs). Therefore, identifying the issues faced by PSCs is essential to combat the counterfeit drug problem, which will require the implementation of technologies in various phases of the PSC to gain better visibility. In this regard, a literature review was conducted to fulfill the following objectives: (i) review the application of traceability technologies in various PSC phases to detect counterfeits; (ii) analyze the various barriers affecting the establishment of a safe PSC and the critical success factors used to overcome those barriers; and (iii) develop a conceptual framework and guidelines to demonstrate the influence of traceability technologies and success factors on overcoming the various barriers in different phases of the PSC. The major finding of this review was that traceabil...

The Generalized Expansion Method

HAL (Le Centre pour la Communication Scientifique Directe), 1993

Medical Decision Support System (DSS) for Oncology

HAL (Le Centre pour la Communication Scientifique Directe), 2006

The Material Handling Problem Using Queueing Networks: A Case Study

Design and Analysis of Supply Chain Systems Using Closed Queueing Networks

A Review of Decision Support Systems in the Internet of Things and Supply Chain and Logistics Using Web Content Mining

Supply chain analytics, Jun 1, 2024

Proceedings of the International Conference on Industrial Engineering and Operations Management

Artificial Intelligence (AI) through Machine Learning (ML) along with Natural Language Processing... more Artificial Intelligence (AI) through Machine Learning (ML) along with Natural Language Processing (NLP) and Optical Character Recognition (OCR) technologies can read and understand texts, then extract important information from a document and check its compliance with other documents or set of laws or rules under predefined parameters which allows the system to interpret data and take decisions. Fintechs have developed AI-based software to take the checking role as a replacement for the current highly manual process of document examination under trade letter of credit (LC) process, which is time-consuming, labor-intensive, and requires skilled and experienced staff to examine the documents for compliance with the terms and conditions of the LC and applicable rules. This paper reports our preliminary studies in using AI and ML in document checking and examination. Specifically, we conducted experiments to compare AI and deep learning results with human checking experts' results. Our findings showed a significant reduction in errors and processing times using this automation and an increase in operational efficiency and optimization of resources. AI-based solution does not mean digitization as human intervention is still required for discrepancies articulated by the automated checks, but it is an important automation step that can assist in the development of hybrid solutions aligning paper to digital toward complete digitization of the trade process under the supply chain.

Multi-objective simulation-based optimization for the optimal design of analog circuits

ICM 2011 Proceeding, 2011

We present a multi-objective simulation-based optimization tool. The proposed tool can handle a l... more We present a multi-objective simulation-based optimization tool. The proposed tool can handle a large variety of analog circuits since it is able to include a large spectrum of performances. Application examples are presented to show viability of this tool. Two current mode circuits are considered, namely a conventional second generation CMOS current conveyor and a differential based current conveyor. The

Drug counterfeits have been a severe international issue for almost two decades, and the latest s... more Drug counterfeits have been a severe international issue for almost two decades, and the latest statistics show that fake medications will continue to penetrate legitimate pharmaceutical supply chains to fulfill the desperate need of different segments of patients. Therefore, identifying the issues faced by the pharmaceutical supply chain is essential to understand better and combat the drug counterfeited issues, which require technological implementation and their applications in various phases of the pharmaceutical supply chain to gain better visibility and ensure safety. In this regard, a review has been conducted to fulfill the following objectives: (i) Review the application of traceability technologies in various pharmaceutical supply chain phases to detect and solve counterfeit issues. (ii) Analyze the various barriers affecting establishing a safe pharmaceutical supply chain and the critical success factors to overcome those barriers. (iii) Develop a conceptual framework for showing the influence of technologies and success factors on overcoming the various barriers in different phases of the pharmaceutical supply chain. Recent statistics show that counterfeit drugs will continue to penetrate the legitimate pharmaceutical supply chains and target more significant patient segments. Furthermore, smugglers and counterfeiters will also continue to target all phases of the pharmaceutical supply chain. This study developed a conceptual framework for achieving a safe PSC by demonstrating the influence of traceability technologies and success factors on overcoming the various barriers in different phases of the PSC. The critical finding of this review was that the traceability technologies and the critical success factors have a significant influence on overcoming the barriers in establishing a safe PSC.

The wastewater utility industry serves a critical function for a nation's growth and is one of th... more The wastewater utility industry serves a critical function for a nation's growth and is one of the essential pillars for a healthy infrastructure system. Efficient operations and maintenance of wastewater infrastructure heavily rely on material and equipment available at the right time in the right quantities. Therefore, making correct inventory management strategic decisions a paramount necessity to gain cost efficiencies. At present, a common practice in the industry for decision making is entirely dependent on the experience of the team or individuals in the decision-making process. In this research, strategic inventory management decision-making tools are developed for the wastewater utility industry. The tools include an inventory management maturity framework, a qualitative and quantitative material-specific inventory management sourcing policy selector. The maturity model developed takes into account criteria related to cost, culture, process, and technology from industry practitioners' experience and their envisioned future. The qualitative decision-making tool is demonstrated using sample data intended to be acquired from a global survey. The quantitative decision tool is demonstrated by performing economic assessment simulations of various scenarios, by investigating a case study for inventory management sourcing policies, using in-house and performance-based contracts for mobile flood mitigation pumps. The findings highlight the selection decision should be driven by forecasted equipment utilization. With a trend indicating lower utilization is economical with outsourcing through Performance Based Contract (PBC), while higher utilization is economical using the in-house option. At the same time, the cost parity point for the inventory management policies under investigation can vary according to the equipment output capacity, in this case, the flow rate. The tools developed in this research have the potential to be extended to other industries to assist in strategic decision making, where operations and maintenance works are performed.

Delivering chemotherapy at home or in mobile chemotherapy units has become increasingly popular d... more Delivering chemotherapy at home or in mobile chemotherapy units has become increasingly popular due to its convenience and patient-centered approach. However, the high demand, complexity, and stochasticity of the Outpatient Chemotherapy Process (OCP) can lead to inefficiencies in implementing these services. To address this gap in the literature, this study presents a decision support framework and operational model for optimizing the OCP with the inclusion of home-based and mobile chemotherapy services. Data-driven research and relevant literature have been integrated to formulate the decision-making process in the proposed decision support framework. A mathematical model is developed to determine the patient and nurse assignments to outpatient department, home, or mobile chemotherapy services, as well as appointment scheduling. A discrete event simulation model is employed to solve the proposed model and determine the performance measures. The optimization experiment included various demand scenarios, and the results showed the value of implementing home-based and mobile chemotherapy services on patient waiting time and staff overtime under all the considered scenarios compared to a baseline. Finally, implementation and modeling strategies have been proposed for scholars and decision-makers to build on this work and benefit from its findings.

Flexible Services and Manufacturing Journal, Sep 6, 2023

Material handling systems (MHSs) are an integral part of logistics functions in manufacturing and... more Material handling systems (MHSs) are an integral part of logistics functions in manufacturing and service organizations. Material handling equipment (MHE) is considered the pivotal actor of any given MHS. Decisions ranging from the strategic level, such as selecting the proper MHE, capacity, and ownership (in-house or outsourcing) to operational level decisions such as resource allocation, scheduling, and routing of MHEs, are critical to the efficiency of an MHS. Industry practitioners use various methods and tools to evaluate these MHSs to find the best policies for their operations. This study identifies past works related to the performance evaluation and optimisation of MHSs using queueing network models. Moreover, this study provides a comprehensive analysis of identified research questions. The study methodology adopts a systematic literature review, bibliometric, and content analysis techniques proposed in similar research studies. This study provides material logistics scholars and practitioners with a thorough understanding of queueing networks as a modelling tool for analysing MHS applications in various domains.

Carsharing has become increasingly popular in recent years as a sustainable transportation soluti... more Carsharing has become increasingly popular in recent years as a sustainable transportation solution, offering individuals access to shared vehicles on a short-term basis. One-way carsharing, in particular, presents unique challenges due to its flexible nature, allowing users to pick up and drop off vehicles at different locations within a designated service area. This flexibility increases the service ridership but comes at the expense of vehicle imbalance among the stations, as some stations may have excess vehicles while other stations have vehicle shortages. Therefore, carsharing companies need to decide on strategies to ensure a balanced distribution of vehicles among the stations. This is essential as unbalanced vehicle distribution can lead to the unavailability of vehicles when needed or, conversely, result in an increased number of unnecessary rebalancing trips, thereby exacerbating traffic congestion and environmental pollution. Such issues can potentially undermine the ove...

Logistics

Background: the advent of Industry 4.0 (I4.0) innovations has revolutionized supply chain managem... more Background: the advent of Industry 4.0 (I4.0) innovations has revolutionized supply chain management through technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) integrated into procurement processes. Methods: this study addresses a critical knowledge gap by conducting a comprehensive review of 111 papers sourced from the Scopus database. These papers are classified into seven sub-themes encompassing I4.0 or procurement 4.0 (P4.0), big data, IoT, additive manufacturing, blockchain, e-procurement, and AI. Results: the investigation reveals that I4.0 technologies, particularly e-procurement and blockchain, have garnered substantial attention. Such technologies offer diverse value propositions, encompassing streamlined supplier evaluation, lead time reduction, cost optimization, and enhanced data security. Conclusion: the paper underscores pivotal trends and insights for the evolution of Procurement 4.0, illuminating a path toward more efficient supply chain ...

Towards Smart Society: Deployment of Drones in Optimizing the Allocation of Covid-19 Vaccines, the Case of Qatar

Proceedings of the International Conference on Industrial Engineering and Operations Management

Proceedings of the International Conference on Industrial Engineering and Operations Management

Procurement is the process that manages business relationships of suppliers, including negotiatio... more Procurement is the process that manages business relationships of suppliers, including negotiations or services, and plays a key role for the success of many companies. In this work we discuss some of the important aspects around procurement (and towards Procurement 4.0), including the main drivers, challenges, remedies, and benefits. The main drivers are related to efficiency improvements, risk minimization and reducing human efforts in procurement process. The challenges include the adaption to Procurement 4.0, data security and lack of employee trainings. The mainly remedies concern technology and data management. The benefits of improved procurement are process optimization with digitization, skilled supplier selections, on time demand fulfillment, and on time invoicing management. Recommendations for industrial procurement are provided aiming for achieving improved operations.

Applied Sciences

Infant formula milk (IFM) is critical in the diet of many babies and must be of high-quality. Unf... more Infant formula milk (IFM) is critical in the diet of many babies and must be of high-quality. Unfortunately, IFM has been a target of adulteration by those attempting to make illegal profits and has suffered from contamination-related issues. This study’s main objective was to identify the most critical risks affecting IFM quality in the supply chain and determine mitigation strategies to improve IFM performance measurement. We developed a model to reduce adulteration and contamination rates in the infant formula milk supply chains (IFMSCs) and maximize safety. The steps to achieve the study’s objectives included: (1) identifying the importance of IFMs for infant nutrition and their risks; (2) establishing mitigation criteria for evaluating IFMSC’s performance to maximize quality; and (3) analyzing each mitigation criterion to maximize IFM safety. Based on pairwise comparisons by professionals in the food supply chain (FSC) of decision-making, the Analytic Hierarchy Process (AHP) mo...

Processes

Over the last decade, there has been an increased interest in public health measures concerning f... more Over the last decade, there has been an increased interest in public health measures concerning food quality and drug safety in supply chains and logistics operations. Against this backdrop, this study systematically reviewed the extant literature to identify gaps in studying food quality and drug safety, the proposed solutions to these issues, and potential future research directions. This study utilized content analysis. The objectives of the review were to (1) identify the factors affecting food quality and possible solutions to improve results, (2) analyze the factors that affect drug safety and identify ways to mitigate them through proper management; and (3) establish integrated supply chains for food and drugs by implementing modern technologies, followed by one another to ensure a multi-layered cross-verification cascade and resource management at the different phases to ensure quality, safety, and sustainability for the benefit of public health. This review investigated and...

Bridging the Parcel Delivery Last Mile Gap in Qatar: Challenges and Enhancements

IFAC-PapersOnLine

Processes

People with type 1 diabetes require insulin, a lifesaving and essential medication, to maintain t... more People with type 1 diabetes require insulin, a lifesaving and essential medication, to maintain their blood sugar levels below dangerous levels. Unfortunately, the insulin industry faces supply and affordability issues, and patients and their families face an enormous burden. As a result of high prices and lack of availability, individuals are turning to other options for purchasing insulin, such as online pharmacies, which may or may not be legitimate. Despite the necessity of safe insulin for diabetics in the legitimate Pharmaceutical Supply Chain (PSC), few researchers have considered implementing strategies to maximize patient safety for purchasing insulin. Therefore, the current research seeks to bridge this gap and provide cohesive information on overcoming this challenge and maximizing insulin safety. This study employs a Multi-Criteria Decision-Making (MCDM) model that combines Supply Chain Operations Reference (SCOR) metrics, Analytic Hierarchy Process (AHP), and Technique ...

Methods and Protocols

Drug counterfeits have been an international issue for almost two decades, and the latest statist... more Drug counterfeits have been an international issue for almost two decades, and the latest statistics show that fake medications will continue to penetrate legitimate pharmaceutical supply chains (PSCs). Therefore, identifying the issues faced by PSCs is essential to combat the counterfeit drug problem, which will require the implementation of technologies in various phases of the PSC to gain better visibility. In this regard, a literature review was conducted to fulfill the following objectives: (i) review the application of traceability technologies in various PSC phases to detect counterfeits; (ii) analyze the various barriers affecting the establishment of a safe PSC and the critical success factors used to overcome those barriers; and (iii) develop a conceptual framework and guidelines to demonstrate the influence of traceability technologies and success factors on overcoming the various barriers in different phases of the PSC. The major finding of this review was that traceabil...

The Generalized Expansion Method

HAL (Le Centre pour la Communication Scientifique Directe), 1993

Medical Decision Support System (DSS) for Oncology

HAL (Le Centre pour la Communication Scientifique Directe), 2006

The Material Handling Problem Using Queueing Networks: A Case Study

Design and Analysis of Supply Chain Systems Using Closed Queueing Networks