Process Modeling and Automated Execution for Bio-Manufacturing
نویسندگان
چکیده
Recently there is a great demand for extending high throughput life science research to biomanufacturing. However, there is a gap from life science research to bio-manufacturing. Most of existing Bio-workflow tools/systems only provide an isolated solution to help bioscientist to orchestrate bio-R&D operations such as bio-database query, bio-computation and analysis etc for specific small bio-problems. They are static and lack of ability to adapt themselves in a dynamic changing environment. Bio-manufacturing involves many bioprocesses, each of which needs to choreographs a set of bio-workflows. Currently, none of the existing workflow systems support integrations of workflows from different workflow tools. Bio-scientists have to manually define and manage the workflows for bioprocesses through different workflow tools. This paper proposes a novel goal-oriented approach to modeling bioprocesses, to choreographing bio-workflows from different workflow tools, and to integrating agents, web services and workflows for automated execution. It also demonstrates how a multi-agent system can be further derived to adapt and automate complex bio-manufacturing workflow/processes in a dynamic changing environment.
منابع مشابه
Monte Carlo Simulation to Compare Markovian and Neural Network Models for Reliability Assessment in Multiple AGV Manufacturing System
We compare two approaches for a Markovian model in flexible manufacturing systems (FMSs) using Monte Carlo simulation. The model which is a development of Fazlollahtabar and Saidi-Mehrabad (2013), considers two features of automated flexible manufacturing systems equipped with automated guided vehicle (AGV) namely, the reliability of machines and the reliability of AGVs in a multiple AGV jobsho...
متن کاملA Data Mining approach for forecasting failure root causes: A case study in an Automated Teller Machine (ATM) manufacturing company
Based on the findings of Massachusetts Institute of Technology, organizations’ data double every five years. However, the rate of using data is 0.3. Nowadays, data mining tools have greatly facilitated the process of knowledge extraction from a welter of data. This paper presents a hybrid model using data gathered from an ATM manufacturing company. The steps of the research are based on CRISP-D...
متن کاملA Framework for Adaptive Process Modeling and Execution (FAME)
This paper describes the architecture and concept of operation of a Framework for Adaptive Process Modeling and Execution (FAME). The research addresses the absence of robust methods for supporting the software process management life cycle. FAME employs a novel, model-based approach in providing automated support for different activities in the software development life cycle including project...
متن کاملMathematical Modeling for a Flexible Manufacturing Scheduling Problem in an Intelligent Transportation System
This paper presents a new mathematical model for a production system through a scheduling problem considering a material handling system as an intelligent transportation system by automated guided vehicles (AGVs). The traditional systems cannot respond to the changes and customer’s demands and for this reason, a flexible production system is used. Therefore, for this purpose, automated transpor...
متن کاملFixture Design Automation and Optimization Techniques: Review and Future Trends
Fixture design is crucial part of manufacturing process. Fixture design is a critical design activity process, in which automation plays an integral role in linking computer-aided design (CAD) and computer-aided manufacturing (CAD). This paper presents a literature review in computer aided fixture design (CAFD) in terms of automation and optimization techniques over the past decades. First, the...
متن کامل