Wissal Taqui, Ibtissam El Hassani, A. Cherrafi, Kamar Zekhnini, Abla Chaouni Benabdellah
{"title":"Blockchain Technology for Supply Chain Resilience","authors":"Wissal Taqui, Ibtissam El Hassani, A. Cherrafi, Kamar Zekhnini, Abla Chaouni Benabdellah","doi":"10.1109/LOGISTIQUA55056.2022.9938027","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA55056.2022.9938027","url":null,"abstract":"Nowadays, people search sincerely and deeply for authenticated products with low impact on the environment. Especially with the current risks of fraud and counterfeiting and the successive crisis worldwide. The pandemic crisis Covid-19 makes the decision-makers convinced that the supply chain must be more resilient, robust, and sustainable to decrease the time that the supply chain remains disrupted or unfunctional when it faces an unexpected disruption or an unforeseen event wreaks havoc on a supply chain. This paper aims to review the use of blockchain technology(BT) in supply chains(SC). It presents a framework for achieving resilient supply chains by reviewing the literature and allowing the managers to take advantage of the benefits of Blockchain technology, overcome drawbacks, and delete barriers to the adoption of Blockchain technology. This paper presents the crucial features of Blockchain technology that will be an added value if the researchers and managers could take advantage of the positive side and overcome the negative one, which can potentially improve supply chain resilience (SCR). This research enables the stakeholders an overview of the advantages, disadvantages, and barriers of Blockchain technology that must be well managed to ensure an efficient implementation of Blockchain technology within a resilient supply chain.","PeriodicalId":253343,"journal":{"name":"2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132511783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yassine Khaoua, Youssef Mouzouna, Jabir Arif, F. Jawab, Meriem Azari
{"title":"The Contribution of Blockchain Technology in the Supply Chain Management: The Shipping Industry as an Example","authors":"Yassine Khaoua, Youssef Mouzouna, Jabir Arif, F. Jawab, Meriem Azari","doi":"10.1109/LOGISTIQUA55056.2022.9938046","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA55056.2022.9938046","url":null,"abstract":"Today, the visibility of information and the traceability of physical flows have become a challenge to the supply chain's smooth operation, especially because they are difficult to process. Several studies have been done in response to this complexity to uncover practical solutions and more effective strategies for delivering services at the level of client expectations. This paper proposes blockchain technology as a solution that has the potential to deliver encouraging results in terms of supply chain sustainability, trust, traceability, and transparency.","PeriodicalId":253343,"journal":{"name":"2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132870689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alaa Eddine El Moussaoui, Brahim Benbba, Anicia Jaegler, Zineb El Andaloussi
{"title":"How to improve the urban logistics sector in large cities of developing countries: The case of Casablanca","authors":"Alaa Eddine El Moussaoui, Brahim Benbba, Anicia Jaegler, Zineb El Andaloussi","doi":"10.1109/LOGISTIQUA55056.2022.9938118","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA55056.2022.9938118","url":null,"abstract":"The objective of this paper is twofold: Firstly, it describes the situation of urban logistics in Casablanca. Secondly, it indicates the main solutions that can be applied in large cities of developing countries. Thanks to studies conducted by the Moroccan Logistics Development Agency; the Ministry of Equipment, Transport and Logistics; and the pioneer of distribution in Morocco: Marjane Holding, as well as comparisons with other cities in European countries (Precisely: Bordeaux & La Rochelle), this article provides an accurate picture, based on examples and statistics, of an understudied sector. The results of the diagnosis of urban logistics, namely: regulations, consumer purchasing habits, the context of the urban territory and the expectations of professionals developed in this article, on the one hand, give an overview of the state of research in urban logistics, on the other hand, they draw up an assessment of urban logistics in Morocco and of their future orientations. The paper also highlights some future prospects for this sector, such as: the rise of e-commerce and sustainability.","PeriodicalId":253343,"journal":{"name":"2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134269654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Critical factors for a successful Big Data adoption in Morocco's Transport and Logistics Sector: An exploratory case study of Logistics Service Provider","authors":"Tarik Talii, Razane Chroqui","doi":"10.1109/LOGISTIQUA55056.2022.9938084","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA55056.2022.9938084","url":null,"abstract":"Purpose - This paper aims to identify the Critical Success Factors (CSFs) for the Big Data adoption in Morocco's Transport and Logistics Sector (TLS) through an exploratory case study of Moroccan Logistics Service Provider (LSP) specializing in Big Data and Analytics consulting for Logistics and Supply Chain Management (SCM). Design/methodology/approach - This paper utilized a qualitative method of research using an exploratory case study, employing interviews, observation of the areas of intervention, and several services and projects provided by LSP. A semi-structured interview was conducted to provide opinions on the use of Big Data Analytics (BDA) and to explore the influential CSFs on Big Data adoption in Morocco's TLS. Findings - Based on the exploratory case study, we outline some suggestions related to the challenges and obstacles to Big Data adoption in Morocco's TLS. Some of these suggestions are in line with what the literature survey has been examining. Originality/value - This paper provides two original contributions. The first contribution is to identify the influential key factors for a Big Data project's success in Morocco's TLS. The second contribution asks specifically about the role of LSPs in stimulating the Big Data adoption in Morocco's TLS.","PeriodicalId":253343,"journal":{"name":"2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126681602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of Patients Boarding Time in Emergency Departments: A Discrete Event Simulation Approach","authors":"Ahlam Bahari, Lina Aboueljinane, M. Lebbar","doi":"10.1109/LOGISTIQUA55056.2022.9938052","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA55056.2022.9938052","url":null,"abstract":"The interaction between the emergency department and the inpatient unit is important in providing quality health care to patients. The number of patients waiting for a bed in the inpatient unit affects the workflow in the department because of the congestion that can result. In this sense, a longboarding time is detrimental to both the patients and the caregivers. This paper proposes a Discrete Event Simulation (DES) model of process flowchart in an Emergency Department (ED) and three Inpatient Units (IUs) using Arena Software. The objective is to assess and investigate the impact of resources allocation in the Emergency Department and the Inpatient Units on the boarding time indicator and the wait time for beds in the Emergency Department. We found that adding beds in the Inpatient Units decreased the boarding time up to 53% and the waiting time for an ED bed decreased up to 73%.","PeriodicalId":253343,"journal":{"name":"2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126981809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The impact of Artificial Intelligence on Supply Chain: literature review and conceptual framework","authors":"Sara Ghouati, Adil El Amri, Salah Oulfarsi","doi":"10.1109/LOGISTIQUA55056.2022.9938119","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA55056.2022.9938119","url":null,"abstract":"The activity of the supply chain requires supply, data collection of production processes, availability of materials, scheduling and demand forecasting. In the context of Industry 4.0, which relies on artificial intelligence, the data mentioned above can be retrieved in real time, exploited and analyzed in very short time frames. The objective of this research is to identify the characteristics of supply chain approaches in this fourth industrial revolution. A literature review of publications concerning the supply chain process over the past decade is presented. It proposes an analytical framework based on the following axes: supply chain activities, planning horizon, resources, target users and artificial intelligence resolution approach. The results demonstrate that to cope with disturbances, research proposals have primarily focused on balancing resource use within short-term planning horizons. The study also reveals that automatic and multi-agent learning methods are preferred over other methods (Petri networks, reasoning) as resolution approaches in the context of supply chain activities.","PeriodicalId":253343,"journal":{"name":"2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)","volume":"257 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115953014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ayoub Chakroun, Y. Hani, A. Elmhamedi, F. Masmoudi
{"title":"Digital Transformation Process of a Mechanical Parts Production workshop to fulfil the Requirements of Industry 4.0","authors":"Ayoub Chakroun, Y. Hani, A. Elmhamedi, F. Masmoudi","doi":"10.1109/LOGISTIQUA55056.2022.9938099","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA55056.2022.9938099","url":null,"abstract":"In today's high manufacturers' competition, companies attempt to involve new advanced technologies to retain their market share. With smart technology, process and production methods are improved to suit the new manufacturers' needs. Now in the era of industry 4.0, the production techniques have to be developed to fulfil the customers' demands. Indeed, industry 4.0 promotes the development of traditional factories to digitalization and networking. The aim of this paper is to characterize and analyze the transformation 4.0 process adopted by a factory producing spherical bushels. This study is conducting by FlexSim software to establish a production simulation platform; which manages in real time the production and supply; through the Material Requirement Planning (MRP), the logistics warehouse and the Cyber Physical Production System (CPPS). Moreover, we optimized the statistical findings of simulation by load-capacity adjustment method. It allows increasing the occupancy rates of equipment. The results show the developed platform can significantly rise the production efficiency and practical for smart industry and can be extended for other cases. The developed simulation platform present a basis for a future digital twin of the company.","PeriodicalId":253343,"journal":{"name":"2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115489118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Decision-Making Models for solving Green Supplier Evaluation and Selection problems","authors":"Imane Tronnebati, F. Jawab, Jabir Arif","doi":"10.1109/LOGISTIQUA55056.2022.9938062","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA55056.2022.9938062","url":null,"abstract":"With a growing global awareness of environmental protection, green production has become an important issue for almost all manufacturers. Supplier evaluation and selection has been a critical strategic concern for long time. A green supplier selection system is therefore necessary to determine the suitability of suppliers to cooperate with the company. Researchers have developed many decision-making (DM) models to handle the green supplier evaluation and selection problem. In this paper, we conducted a comprehensive analysis of ten-literature review on DM models for solving Green Supplier Evaluation and Selection (GSES) problem. The review is focused entirely on 1098 research articles published in academic journals between 1990 and 2020 and 271 DM models divided into 170 single models and 101 combined models were reviewed, our study focused just on the single models. The analysis of the ten review show that the Analytic hierarchy process (AHP) model is the prominent DM technique (160 articles are used them) followed by Data envelopment analysis (DEA), which 122 papers apply them to achieve this goal and 101 researches which utilized Technique for order performance by similarity to ideal solution (TOPSIS) model. As a result, the AHP, DEA and TOPSIS are the most popular DM models used to solve the green supplier evaluation and selection problem.","PeriodicalId":253343,"journal":{"name":"2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116510588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A comparative analysis of predictive analytics tools with integrated What-if modules for transport industry","authors":"Mohamed Amine Ben Rabia, A. Bellabdaoui","doi":"10.1109/LOGISTIQUA55056.2022.9938042","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA55056.2022.9938042","url":null,"abstract":"The freight transport sector is facing more than ever major innovations and challenges. Digital transformation and analytics tend to optimize traditional work methods and accelerate workflows. This paper focuses on the problem of choosing an analytics solution that allows the prediction of future cases based on historical data and integrates packages that permit to run what-if simulations. Faced with a multitude of criteria required by freight transport professionals, we propose to solve it by implementing the Analytical Hierarchy Process-AHP method. The use of a collaborative approach during the AHP process allowed us to obtain relevant and accurate results.","PeriodicalId":253343,"journal":{"name":"2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130368144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The quality of port infrastructure in Morocco","authors":"Rihab Ben Haj Ahmed, Aida Bouzir, Mohamed Hédi Benhadj Mbarek, Saloua Benammou","doi":"10.1109/LOGISTIQUA55056.2022.9938078","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA55056.2022.9938078","url":null,"abstract":"Concerns for improving the quality of port infrastructure are central in both developed and developing countries in a more open and integrated port competitiveness. It emerges as one of the most important subjects with omnipresence in various fields; economic, social and political. In this work, we determined the main factors relating to the evaluation of the quality of the port infrastructure based on a literature review. Then, we studied the case of the Moroccan port system according to the criteria (logistics performance index, lead time to export, lead time to import, liner shipping connectivity index and container port traffic). In this article, we adopted the partial least squares (PLS) regression method for the period 2007–2021. The results indicate that the key factors in the development of Moroccan port infrastructure are frequency and ease. Another less important factor that determines the quality of the port infrastructure in Morocco is connectivity.","PeriodicalId":253343,"journal":{"name":"2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)","volume":"1860 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122496894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}