Title Investigation of IoT (Internet of Things) approach to data exchange and visualization in context of MES & ERP integration /
Translation of Title Daiktų interneto panaudojimo duomenų apsikeitimui ir atvaizdavimui gamybos valdymo ir resursų planavimo sistemose tyrimas.
Authors Avhad, Akshay Raghunath
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Pages 73
Keywords [eng] MES ; ERP ; ISA 95 ; industry 4.0 ; IoT
Abstract [eng] This research study presents a methodology to optimize production process for manufacturing industries. An ethical and technical approach is suggested for information transfer between control or process layer and top layer business system. System Integration of ERP (Enterprise Resource planning) and Process layer is achieved through a key element called Manufacturing Execution system (MES). This article will enlighten upon how the enterprise resource in overall success of resource optimization, production, and management. Integration of MES and ERP is a key to information transfer in context of ISA-95 standards. Industry 4.0 focus about implementation of IoT (Internet of Things) in smart manufacturing practices. In a global enterprise scenario, ERP systems are distributed over the world. ERP systems does not belong to just single enterprise, it could be cluster of partner companies comprising of multiple suppliers and consumers. SaaS (Software as a Service) cloud architecture enables to offer fully developed application as a service to the client users. Multi-tenant architecture is analyzed to serve the needs of multi-enterprises scenario. Provider or supplier entity along with consumer client entity, are considered as tenant model on a company multi user scale. A prototype of such system was developed with a Grails framework based on java based on servlet API of J2EE and SPRING framework under the hood. Degree of development to support a described multi-tenant application has been evaluated in the Grails framework. Big Data analytics also play a role in visualizations for optimization of production process. An example of SYSLAB grid using an open source visualization library “D3.js” based on HTML5 and JavaScript using connected components algorithm is explained.
Dissertation Institution Kauno technologijos universitetas.
Type Master thesis
Language English
Publication date 2016