A knowledge-based workflow to dynamically manage human interaction in extended enterprise

Mengoni, Maura; Graziosi, Serena; Mandolini, Marco; Peruzzini, Margherita

doi:10.1007/s12008-010-0103-7

Cited by 9 publications

(3 citation statements)

References 19 publications

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“…They also argued that in order to successfully implement and sustain continuous improvement (CI) within the EE, a set of sequential actions is required by the participating companies. Optimising the processes along the EE on the basis of information sharing assists in both coping with complexity, as well as adding competitive advantage, namely: enhanced product, process and service development (Mengoni et al 2011). In summary, the EE incorporates an information and organisation network, extending both beyond each participant's company boundaries.…”

Section: The Extended Enterprisementioning

confidence: 99%

Strategic and operational considerations for the Extended Enterprise: insights from the aerospace industry

Braziotis

Tannock

Bourlakis

2016

Production Planning & Control

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Section: The Extended Enterprisementioning

confidence: 99%

Strategic and operational considerations for the Extended Enterprise: insights from the aerospace industry

Braziotis

Tannock

Bourlakis

2016

Production Planning & Control

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“…This paper proposes a sorting method to design course selection system. According to the professional training programs, administrators enter all courses information includes member information, course information and evaluation score into the system [5]. Machine will choose a list of teachers as lecturers.…”

Section: Introductionmentioning

confidence: 99%

Design of Machine Sorting Based College Course Selection System

Sun¹,

Zhang²

2016

Proceedings of the 2016 International Conference on Education, Management and Computer Science

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This article discusses a machine sorting problem in Management Information System. We take course selection system as an example. Teachers browse the courses and apply for the courses on the web. According to machine sorting results, the system determines a list of teachers to teach the course. Among the design of course selection system, sorting is the most important content. Currently, the sorting process only takes into account four factors: teachers' professional titles, evaluation score, whether teachers have taught the course or not, needs of teachers. We choose linear regression model from historical data as our sorting formula. The sorting formula is applied for the design of course selection system. Machine sorting makes course arrangement more optimal, objective, fair, efficient, and economical. This WEB-based course selection system possesses a value of application and can be extended to the design and implementation of similar systems.

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“…As can be read in [Mengoni et al, 2010]: "most of the Product Data and Product Lifecycle Management systems (PDM/PLM), Engineering Data Management systems (EDM) and electronic Bill Of Processes systems (eBOP) ... are strongly document-oriented, have a structured and not much customizable data model and suffer from inter-enterprise integration difficulties". They then define a framework where design decisions of design activities are evaluated before starting a new design activity.…”

Section: Design Workflow Modelingmentioning

confidence: 99%

Consistency, integration, and reuse in multi-disciplinary design processes: through an architecture modeling framework

Woestenenk¹

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This work has been published using L A T E X 2 ε and the Twentethesis documentclass.Duurt even, maar dan heb je ook wat... SummaryThe development of modern (mechatronic) systems demands close cooperation between experts from multiple engineering disciplines. These disciplines each speak their own engineering language and can even have conflicting views of what the system is. This leads to a complex situation that impedes the communication between these experts, as well as the integration of design and analysis tools.The main 'pressures' in improving multi disciplinary design are the improvement of system performance, time-to-market and cost. This can be improved by facilitating communication between stakeholders, modeling architectural concerns and other important design information, and facilitating capturing and reusing design knowledge across disciplines. These pressures, however, cannot be subject to direct scientific research, as experiments cannot be easily realized: We cannot let multiple companies perform multiple design processes to compare methods that aim to improve the pressures. Instead, the pressures are 'transformed' in the issues of consistency, integration and reuse, which can be evaluated through case studies. As such, the hypothesis for this thesis is: The consistency, integration and reusability of multi-disciplinary design processes can be improved by facilitating communication between stakeholders, modeling architectural concerns and other important design information, and facilitating capturing and reusing design knowledge across disciplines.To help this communication, multiple stakeholders need to have a shared model to: share design decisions, create common understanding of the design process, share deliverables (workflow), and keep this shared information consistent. In such a model, stakeholders can make their own views to create models for their aspects of the system. The information in these views can be connected to other views, and even reused by copying or referencing. This facilitates the stakeholder gathering the information from multiple sources to do his job, or allow exposing his concerns so he can influence activities performed by experts of other disciplines.The argument of this thesis is: there is a lack of a common language that can describe both the system architecture and information flows in the design process. Such a language should enable us to model the shared information between the designers and their models and the tools that they use. There is no unifying modeling language to exchange information across disciplines, across design process phases and across levels of granularity. This means we lack the means to make a model of all design aspects, especially the ones that cut across the design disciplines. We lack the means to model how information from the mono disciplinary design tasks is handed over to subsequent design tasks. And we lack the means VIII to provide a big picture of how mono disciplinary design information is connected to the abstract system wide ...

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A knowledge-based workflow to dynamically manage human interaction in extended enterprise

Cited by 9 publications

References 19 publications

Strategic and operational considerations for the Extended Enterprise: insights from the aerospace industry

Strategic and operational considerations for the Extended Enterprise: insights from the aerospace industry

Design of Machine Sorting Based College Course Selection System

Consistency, integration, and reuse in multi-disciplinary design processes: through an architecture modeling framework

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