Pub Date : 2019-06-01DOI: 10.1109/logistiqua.2019.8907269
International Conference on Logistics and Supply Chain Managment
国际物流与供应链管理会议
{"title":"International Conference on Logistics and Supply Chain Managment","authors":"","doi":"10.1109/logistiqua.2019.8907269","DOIUrl":"https://doi.org/10.1109/logistiqua.2019.8907269","url":null,"abstract":"International Conference on Logistics and Supply Chain Managment","PeriodicalId":435919,"journal":{"name":"2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115461706","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}
Pub Date : 2019-06-01DOI: 10.1109/LOGISTIQUA.2019.8907310
S. Mrad, R. Mraihi
Traffic congestion in metropolitan area such as Great Tunis, has become more and more serious. Over the past decades, research in this area has grown and become an ever-increasing problem. Many academic research and public authorities' efforts have been made to alleviate this issue. In this paper, we investigate the application of neural network time series model to predict hourly traffic volumes for a Tunisian national highway (N8). A total 1-year of traffic volume data of 14 stations in both directions, where used in this analysis. The study applies Artificial Neural Network (ANN) for short term forecasting of traffic flow using past traffic data. The model incorporates traffic volume as input variable. The simulation experimental results show that the model is with good stability and the mean square is used as evaluation criteria.
{"title":"Short Term Prediction of Hourly Traffic Volume Using Neural Network in Interurban Freeway","authors":"S. Mrad, R. Mraihi","doi":"10.1109/LOGISTIQUA.2019.8907310","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2019.8907310","url":null,"abstract":"Traffic congestion in metropolitan area such as Great Tunis, has become more and more serious. Over the past decades, research in this area has grown and become an ever-increasing problem. Many academic research and public authorities' efforts have been made to alleviate this issue. In this paper, we investigate the application of neural network time series model to predict hourly traffic volumes for a Tunisian national highway (N8). A total 1-year of traffic volume data of 14 stations in both directions, where used in this analysis. The study applies Artificial Neural Network (ANN) for short term forecasting of traffic flow using past traffic data. The model incorporates traffic volume as input variable. The simulation experimental results show that the model is with good stability and the mean square is used as evaluation criteria.","PeriodicalId":435919,"journal":{"name":"2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121106057","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}
Pub Date : 2019-06-01DOI: 10.1109/LOGISTIQUA.2019.8907256
Khouloud Moalla, D. Dhouib
These last years were marked by the ecological conscience stimulation relating to the negative effects of the human activities on the environment by the actors of stakeholders. Avowedly, to be competitive, any organization of the supply chain tends to be invested more and more in a permanent environment for a Sustainable development on all these levels by seeking not only the environmental but also social and economic aspect. In addition, the food signs are touched by this approach to ensure the harmonious and perennial of their food store. We presented in this study a new multi-criteria method for choice issues based on the main behaviors of Sustainable Development. The Sustainable Development will aim to determine the best strategy to be followed within the food store within “MONOPRIX Sfax Center”. Moreover, we must not neglect the dependency relationships that may link between the different Sustainable Development criteria. We developed a new methodology based on TOPSIS method that integrates the Choquet Integral to model the interactions between the existing criteria. This combination will result on a new TOPSISIC approach that consists of replacing the weighted sum of the TOPSIS method with the Shapley index to outline a better strategy for the food retailers.
{"title":"Selection of Sustainable Development Strategy using a New Multi-Criteria Approach TOPSISIC","authors":"Khouloud Moalla, D. Dhouib","doi":"10.1109/LOGISTIQUA.2019.8907256","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2019.8907256","url":null,"abstract":"These last years were marked by the ecological conscience stimulation relating to the negative effects of the human activities on the environment by the actors of stakeholders. Avowedly, to be competitive, any organization of the supply chain tends to be invested more and more in a permanent environment for a Sustainable development on all these levels by seeking not only the environmental but also social and economic aspect. In addition, the food signs are touched by this approach to ensure the harmonious and perennial of their food store. We presented in this study a new multi-criteria method for choice issues based on the main behaviors of Sustainable Development. The Sustainable Development will aim to determine the best strategy to be followed within the food store within “MONOPRIX Sfax Center”. Moreover, we must not neglect the dependency relationships that may link between the different Sustainable Development criteria. We developed a new methodology based on TOPSIS method that integrates the Choquet Integral to model the interactions between the existing criteria. This combination will result on a new TOPSISIC approach that consists of replacing the weighted sum of the TOPSIS method with the Shapley index to outline a better strategy for the food retailers.","PeriodicalId":435919,"journal":{"name":"2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129781695","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}
Pub Date : 2019-06-01DOI: 10.1109/LOGISTIQUA.2019.8907253
Rime Ettabaa, D. Bouami, S. Elfezazi
Open Innovation (OI) has become one of the most popular concepts in Industry and Academia. Over the past decade, an outstanding body of knowledge (BOK) has been accumulated about OI and nowadays, it is one of the most reviewed topic in the field of “Innovation Management”. The concept has swiftly progressed from a restricted circle of high-tech practitioners, to a widely discussed and implemented concept in different industries. The community of researchers have made it an established research field. The primary goal of this article is to explore the concept recent developments in light of new research findings and industry best practices. Thus, we start by analyzing the model of OI, commonly contrasted to “Closed Model”, then we attempt to categorize OI and to analyze strengths and limitations of each class type. Lastly, we address the crucial issue of OI processes, we attempt to assess recent models, to discuss implementation issues and to select best practices. This paper aims to build on past and present studies to provide future directions, also, limitations are presented to point out issues that remain insufficiently documented and require further academic researches. The main theories and authors (practitioners and academics) who deal with OI have been highlighted.
{"title":"Open Innovation from Chesbrough to now: where do we stand today?: An exploratory review of Open Innovation Model","authors":"Rime Ettabaa, D. Bouami, S. Elfezazi","doi":"10.1109/LOGISTIQUA.2019.8907253","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2019.8907253","url":null,"abstract":"Open Innovation (OI) has become one of the most popular concepts in Industry and Academia. Over the past decade, an outstanding body of knowledge (BOK) has been accumulated about OI and nowadays, it is one of the most reviewed topic in the field of “Innovation Management”. The concept has swiftly progressed from a restricted circle of high-tech practitioners, to a widely discussed and implemented concept in different industries. The community of researchers have made it an established research field. The primary goal of this article is to explore the concept recent developments in light of new research findings and industry best practices. Thus, we start by analyzing the model of OI, commonly contrasted to “Closed Model”, then we attempt to categorize OI and to analyze strengths and limitations of each class type. Lastly, we address the crucial issue of OI processes, we attempt to assess recent models, to discuss implementation issues and to select best practices. This paper aims to build on past and present studies to provide future directions, also, limitations are presented to point out issues that remain insufficiently documented and require further academic researches. The main theories and authors (practitioners and academics) who deal with OI have been highlighted.","PeriodicalId":435919,"journal":{"name":"2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126792211","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}
Pub Date : 2019-06-01DOI: 10.1109/LOGISTIQUA.2019.8907260
Jihene Jlassi, A. El mhamedi
Emergency departments (EDs) face problems with crowding, delays, cost containment, and patient safety. To address these and other problems, EDs increasingly implement the Lean Six - Sigma approach. This approach has become a business model and a symbol of excellence, with the goal of eliminating waste and reducing defects and variations within an organization's processes. In this approach Lean is focused mainly on waste elimination, using simple and visual techniques whenever possible, and Six Sigma is focused on control and processes variability reduction, using statistical tools for this purpose. The present paper proposes a Lean Six Sigma (LSS) model supported by the DMAIC cycle with an application to the case of Habib Bourguiba's Hospital ED.
{"title":"Performance of Emergency Department: Case study","authors":"Jihene Jlassi, A. El mhamedi","doi":"10.1109/LOGISTIQUA.2019.8907260","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2019.8907260","url":null,"abstract":"Emergency departments (EDs) face problems with crowding, delays, cost containment, and patient safety. To address these and other problems, EDs increasingly implement the Lean Six - Sigma approach. This approach has become a business model and a symbol of excellence, with the goal of eliminating waste and reducing defects and variations within an organization's processes. In this approach Lean is focused mainly on waste elimination, using simple and visual techniques whenever possible, and Six Sigma is focused on control and processes variability reduction, using statistical tools for this purpose. The present paper proposes a Lean Six Sigma (LSS) model supported by the DMAIC cycle with an application to the case of Habib Bourguiba's Hospital ED.","PeriodicalId":435919,"journal":{"name":"2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124542067","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}
Pub Date : 2019-06-01DOI: 10.1109/LOGISTIQUA.2019.8907250
Najeh Dammak, S. Dhouib, A. El mhamedi
Electric Vehicle Routing Problem (EVRP) has received considerable interest in these recent years in the field of combinatorial optimization. A tremendous range of methods has been found in the literature. In this paper, the EVRP rating is presented in an attempt to provide common classification mechanisms. As a clarification of the usefulness of the classification, an annotated bibliography is provided. It assorts the problem according to the characteristics of the electric vehicle and the methods used, whether it is exact or approximate methods.
{"title":"A Review of Optimal Routing Problem for Electric Vehicle","authors":"Najeh Dammak, S. Dhouib, A. El mhamedi","doi":"10.1109/LOGISTIQUA.2019.8907250","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2019.8907250","url":null,"abstract":"Electric Vehicle Routing Problem (EVRP) has received considerable interest in these recent years in the field of combinatorial optimization. A tremendous range of methods has been found in the literature. In this paper, the EVRP rating is presented in an attempt to provide common classification mechanisms. As a clarification of the usefulness of the classification, an annotated bibliography is provided. It assorts the problem according to the characteristics of the electric vehicle and the methods used, whether it is exact or approximate methods.","PeriodicalId":435919,"journal":{"name":"2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121947193","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}
Pub Date : 2019-06-01DOI: 10.1109/LOGISTIQUA.2019.8907324
Abderrahmane Ben Kacem, Oualid Kamach, S. Chafik
This paper describes a hybrid approach to size the hospital resources in the cases of a massive influx of victims generated by a disaster situation (natural or made man disaster). This suggested approach based on the genetic algorithm is a blending between the simulation (ARENA) and machine learning (Neural Networks). The first one produces a matrix of theoretical solutions and the second one contributes a solution based on the feedback on experiences. This method provided a reliable and efficient solution based on available resources and on a solutions applied in real cases. The result shows that the genetic algorithm provided a new solution that improves the solutions got by the simulation. Also we made an application as a decision support tool for hospital decision-makers to provide with the needs of resources in the same cases. This work is being carried out in collaboration with the Mohammed 5 hospital center in Casablanca (Morocco).
{"title":"A hybrid genetic algorithm to size the hospital resources in the case of a massive influx of victims","authors":"Abderrahmane Ben Kacem, Oualid Kamach, S. Chafik","doi":"10.1109/LOGISTIQUA.2019.8907324","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2019.8907324","url":null,"abstract":"This paper describes a hybrid approach to size the hospital resources in the cases of a massive influx of victims generated by a disaster situation (natural or made man disaster). This suggested approach based on the genetic algorithm is a blending between the simulation (ARENA) and machine learning (Neural Networks). The first one produces a matrix of theoretical solutions and the second one contributes a solution based on the feedback on experiences. This method provided a reliable and efficient solution based on available resources and on a solutions applied in real cases. The result shows that the genetic algorithm provided a new solution that improves the solutions got by the simulation. Also we made an application as a decision support tool for hospital decision-makers to provide with the needs of resources in the same cases. This work is being carried out in collaboration with the Mohammed 5 hospital center in Casablanca (Morocco).","PeriodicalId":435919,"journal":{"name":"2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116898461","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}
Pub Date : 2019-06-01DOI: 10.1109/LOGISTIQUA.2019.8907270
Arias Laassiri, A. Sedqui
The present work deals with a complex topic of physical flow; it includes the dimensioning of logistics human resources in the productions lines. This involves modeling then measuring and optimizing its handling workload in order to improve physical flow. This problem can be formalized by mathematic equations, and seen as a bin packing problem; two cases are defined, the core model of bin packing with 1 dimension, and the bin packing with conflicts (incompatibilities). All of this, by applying a variety of industrial and scientific knowledge tools such as SMB, Chrono-analysis, and Bin-Packing. In order to solve the bin packing problem, we have to select simple and strong heuristics, after adapting them to our case, and validate all the constraints. Besides, we can use the sequential coupling (Heuristic - list algorithm). Finally, we will apply our method in a real industrial context.
{"title":"Dynamic dimensioning of logistics resources : Case of production workshop: Analogy with the problem of bin-packing Moroccan multinational company","authors":"Arias Laassiri, A. Sedqui","doi":"10.1109/LOGISTIQUA.2019.8907270","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2019.8907270","url":null,"abstract":"The present work deals with a complex topic of physical flow; it includes the dimensioning of logistics human resources in the productions lines. This involves modeling then measuring and optimizing its handling workload in order to improve physical flow. This problem can be formalized by mathematic equations, and seen as a bin packing problem; two cases are defined, the core model of bin packing with 1 dimension, and the bin packing with conflicts (incompatibilities). All of this, by applying a variety of industrial and scientific knowledge tools such as SMB, Chrono-analysis, and Bin-Packing. In order to solve the bin packing problem, we have to select simple and strong heuristics, after adapting them to our case, and validate all the constraints. Besides, we can use the sequential coupling (Heuristic - list algorithm). Finally, we will apply our method in a real industrial context.","PeriodicalId":435919,"journal":{"name":"2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123537283","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}
Pub Date : 2019-06-01DOI: 10.1109/LOGISTIQUA.2019.8907276
Morad Lemtaoui, Sara El Oueldrhiri
Reverse supply chain management (RSC) enables companies to integrate sustainability in ecological, economic and social terms. Research has rarely investigated the impacts of RSC on business performance. Regarding Morocco, the literature on RSC is very rare. Most companies are not sufficiently aware of their reverse supply chain and miss out on many competitive advantages and opportunities. This article explores the current situation, using a qualitative approach through semi-structured interviews with the objective of describing the practices of the RSC, the decision-making factors that lead to the implementation of RSC and finally the impacts of the RSC on performance in the Moroccan automotive sector.
{"title":"Reverse supply chain practices in the Moroccan automotive industry: An exploratory study","authors":"Morad Lemtaoui, Sara El Oueldrhiri","doi":"10.1109/LOGISTIQUA.2019.8907276","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2019.8907276","url":null,"abstract":"Reverse supply chain management (RSC) enables companies to integrate sustainability in ecological, economic and social terms. Research has rarely investigated the impacts of RSC on business performance. Regarding Morocco, the literature on RSC is very rare. Most companies are not sufficiently aware of their reverse supply chain and miss out on many competitive advantages and opportunities. This article explores the current situation, using a qualitative approach through semi-structured interviews with the objective of describing the practices of the RSC, the decision-making factors that lead to the implementation of RSC and finally the impacts of the RSC on performance in the Moroccan automotive sector.","PeriodicalId":435919,"journal":{"name":"2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134120349","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}
Pub Date : 2019-06-01DOI: 10.1109/LOGISTIQUA.2019.8907290
Ahmed Kadiri, Hamid Azzouzi, Noufal Sefiani
In order to make medical information fluid for health professionals and to cope with the ever-worsening complexity of care processes, information and communication technologies come to promote the coordination of health professionals, the optimization of health expenditure through a good organization of care processes and close cooperation to enable better patient care. The aim of this paper is to give a clue of the current worldwide situation of the healthcare information systems (HIS) through a Systematic literature review and how can an efficient information system improve the hospital logistics chain. Method: The authors systematically establish the research through efficient data sources in IEEE, Springer, Elsevier, Taylor and Francis, Sprouts, Google Books, we also used studies of experts of the domain from 2000 until 2018. Results: After Data synthesis, 197 studies met the inclusion criteria and we have defined three main axis of the subject which are: Implementation of healthcare information systems, methodology for evaluating Healthcare information systems, constraints and advantages related to healthcare information systems. Conclusion: Our study takes us to conclude the most relevant points that could a healthcare institution benefits from HIS. Furthermore, we find that most of the research focus on demonstrating the capabilities of HIS and how to implement a HIS, but we observed a limitation in how to evaluate a HIS and how to conduct a success of HIS in non-developed countries such as Morocco in order to improve hospital Supply chain.
为了使医疗专业人员的医疗信息更加流畅，并应对日益复杂的护理过程，信息和通信技术开始促进卫生专业人员的协调，通过良好的护理过程组织和密切合作来优化卫生支出，从而实现更好的患者护理。本文的目的是通过系统的文献综述，对全球医疗信息系统(HIS)的现状进行梳理，以及一个高效的信息系统如何改善医院物流链。方法:作者通过IEEE、b施普林格、Elsevier、Taylor and Francis、Sprouts、谷歌Books等高效数据源系统地建立了研究，并使用了2000 - 2018年该领域专家的研究成果。结果:经过数据综合，197项研究符合纳入标准，我们定义了主题的三个主轴:医疗信息系统的实施，评估医疗信息系统的方法，与医疗信息系统相关的限制和优势。结论:我们的研究让我们总结出医疗机构可以从HIS中获益的最相关的点。此外，我们发现，大多数研究都集中在展示医疗卫生系统的能力以及如何实施医疗卫生系统，但我们发现，在如何评估医疗卫生系统以及如何在摩洛哥等非发达国家成功实施医疗卫生系统以改善医院供应链方面存在局限性。
{"title":"Enhancing hospital supply chain performance through an efficient hospital information System: First insights after a systematic literature review study","authors":"Ahmed Kadiri, Hamid Azzouzi, Noufal Sefiani","doi":"10.1109/LOGISTIQUA.2019.8907290","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2019.8907290","url":null,"abstract":"In order to make medical information fluid for health professionals and to cope with the ever-worsening complexity of care processes, information and communication technologies come to promote the coordination of health professionals, the optimization of health expenditure through a good organization of care processes and close cooperation to enable better patient care. The aim of this paper is to give a clue of the current worldwide situation of the healthcare information systems (HIS) through a Systematic literature review and how can an efficient information system improve the hospital logistics chain. Method: The authors systematically establish the research through efficient data sources in IEEE, Springer, Elsevier, Taylor and Francis, Sprouts, Google Books, we also used studies of experts of the domain from 2000 until 2018. Results: After Data synthesis, 197 studies met the inclusion criteria and we have defined three main axis of the subject which are: Implementation of healthcare information systems, methodology for evaluating Healthcare information systems, constraints and advantages related to healthcare information systems. Conclusion: Our study takes us to conclude the most relevant points that could a healthcare institution benefits from HIS. Furthermore, we find that most of the research focus on demonstrating the capabilities of HIS and how to implement a HIS, but we observed a limitation in how to evaluate a HIS and how to conduct a success of HIS in non-developed countries such as Morocco in order to improve hospital Supply chain.","PeriodicalId":435919,"journal":{"name":"2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115334654","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}
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