Pub Date : 2019-09-01DOI: 10.46354/i3m.2019.hms.004
P. Mensah, Y. Merkuryev, Jelena Pecherka, F. Longo
The supply chain faces uncertainties, especially with the flow of products and information that may affect the productivity, revenue and competitive advantages of many organizations. It is therefore necessary for these organizations to be agile and resilient enough to meet with these uncertainties so that they may be managed appropriately or even avoided. In a publication by Mensah et.al (2014), the authors introduce a theoretical approach where the „conceptualization of risks for subsequent simulation-based analysis‟ is evaluated. This includes the description of „a generic conceptual model of a retail node‟ followed by the introduction of performance indicators relevant for simulation base analysis. Hence, a concept for further studies from a practical point of view has now arisen. This article therefore introduces a new case study where the flow of products in a real company is conceptualized for simulation base analysis to raise the awareness of the organization in case of uncertainties.
{"title":"Conceptual model of supply chain in risky environment: case study","authors":"P. Mensah, Y. Merkuryev, Jelena Pecherka, F. Longo","doi":"10.46354/i3m.2019.hms.004","DOIUrl":"https://doi.org/10.46354/i3m.2019.hms.004","url":null,"abstract":"The supply chain faces uncertainties, especially with the flow of products and information that may affect the productivity, revenue and competitive advantages of many organizations. It is therefore necessary for these organizations to be agile and resilient enough to meet with these uncertainties so that they may be managed appropriately or even avoided. In a publication by Mensah et.al (2014), the authors introduce a theoretical approach where the „conceptualization of risks for subsequent simulation-based analysis‟ is evaluated. This includes the description of „a generic conceptual model of a retail node‟ followed by the introduction of performance indicators relevant for simulation base analysis. Hence, a concept for further studies from a practical point of view has now arisen. This article therefore introduces a new case study where the flow of products in a real company is conceptualized for simulation base analysis to raise the awareness of the organization in case of uncertainties.","PeriodicalId":151228,"journal":{"name":"Proceedings of the 21st International Conference on Harbor, Maritime and Multimodal Logistic Modeling & Simulation (HMS 2019)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116445666","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 : 1900-01-01DOI: 10.46354/i3m.2019.hms.011
L. Henesey, Yulia Lizneva, Mahwish Anwar
Port Logistical Supply chains play a very important role in society. Their complex and adaptive behaviours promote the suggested applications of combining a multiagent system with blockchain for solving complex problems. Several technologies have been proven positively to work in logistics, however the concept of combining converging technologies such as blockchain with deep reinforcement multi agent is viewed as a novel approach to solving the complexity that is associated with many facets of logistics. A simulator was developed and tested for the problem of container stacking. The simulation results indicate a more robust approach to currently used tools and methods.
{"title":"A multi-agent system with blockchain for container stacking and dispatching","authors":"L. Henesey, Yulia Lizneva, Mahwish Anwar","doi":"10.46354/i3m.2019.hms.011","DOIUrl":"https://doi.org/10.46354/i3m.2019.hms.011","url":null,"abstract":"Port Logistical Supply chains play a very important role in society. Their complex and adaptive behaviours promote the suggested applications of combining a multiagent system with blockchain for solving complex problems. Several technologies have been proven positively to work in logistics, however the concept of combining converging technologies such as blockchain with deep reinforcement multi agent is viewed as a novel approach to solving the complexity that is associated with many facets of logistics. A simulator was developed and tested for the problem of container stacking. The simulation results indicate a more robust approach to currently used tools and methods.","PeriodicalId":151228,"journal":{"name":"Proceedings of the 21st International Conference on Harbor, Maritime and Multimodal Logistic Modeling & Simulation (HMS 2019)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131920125","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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