Information based, dynamic quality information system for non-hierarchic regional production networks

Gerber, Anna; Dietzsch, Michael; Althaus, Karsten

doi:10.1016/j.rcim.2004.06.003

Cited by 11 publications

(4 citation statements)

References 1 publication

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“…There is therefore, always a need to build an integrated quality data model to support all quality processes, sub-processes and activities throughout the whole life of a product (Tang & Yun, 2008). Base on different stages throughout a product's lifecycle, some quality data is listed in Table 1. Quality data is the most important basis in product quality control, quality management and quality improvement, and the most crucial resources in improving enterprise business (Gerber, Dietzsch & Althaus, 2004). Quality information system (QIS) should ensure to send the right quality data to the right person at the right time and as such the business process and data modeling is a key concern in LIS development to address such needs.…”

Section: Quality System and Requirementsmentioning

confidence: 99%

Module-based quality system functionality evaluation in production logistics

Khabbazi

Wikander

Onori

et al. 2016

JIEM

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Abstract:Purpose: This paper addresses a comprehensive modeling and functionality evaluation of a module-based quality system in production logistics at the highest domain abstract level of business processes.Design/methodology/approach: All domain quality business processes and quality data transactions are modeled using BPMN and UML tools and standards at the business process and data modeling. A modular web-based prototype is developed to evaluate the models addressing the quality information system functionality requirements and modularity in production logistics through data scenarios and data queries.Findings: Using the object-oriented technique in design at the highest domain level, the proposed models are subject further development in the lower levels for the implementing case.The models are specifically able to manipulate all quality operations including remedy and control in a lot-based make-to-order production logistics system as an individual module. Practical implications:Due to the specification of system as domain design structure, all proposed BPMs, data models, and the actual database prototype are seen referential if not a solution as a practical "to-be" quality business process re-engineering template.-310-Journal of Industrial Engineering and Management -http://dx.doi.org/10.3926/jiem.1509 Originality/value: this paper sets out to provide an explanatory approach using different practical technique at modeling steps as well as the prototype implementation.

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Section: Quality System and Requirementsmentioning

confidence: 99%

Module-based quality system functionality evaluation in production logistics

Khabbazi

Wikander

Onori

et al. 2016

JIEM

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“…In EU: Germany (Bölt et al, 2000;Gerber et al, 2004;Neuberta et al, 2004;Roth et al, 2005;Jähn et al, 2006;Müller et al, 2006;Ackermann, 2007;Jaehne et al, 2009;Kampker et al, 2010;Ganß et al, 2011;Lau et al, 2011), Belgium (Vancza et al, 2011, Hungary (Schuh et al, 2008), Portugal (Camarinha-Matos et al, 2001;Pinto Leitão, 2004), Netherlands (Camarinha-Matos et al, 2007), Spain (Giret et al, 2009), Italy (Villa et al, 1998;Corvello et al, 2007;Manzini et al, 2011), Greece (Assimakopoulos et al, 2003) and Croatia ; in USA (Leigh Reid et al, 1996;Sturgeon et al, 2002); in China (Hongzhao et al, 2005), Japan (Yamawaki, 2002) and South Korea (Choi, 2005); in Columbia (Micán et al, 2011) and Brasil (Lima et al, 2011). However, only few concepts (models) have been completely developed to be implemented in practice.…”

Section: Production Network Modelsmentioning

confidence: 99%

Production Networks and Partner Selection Problem

Veža¹,

Mladineo²,

Gjeldum³

2013

DAAAM International Scientific Book 2013

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“…In [116], Nullmeier discusses how ICT can promote or hamper networking and development of a collective competence. Gerber et al [117] have developed a method to control the quality related information flow between Units of Competence that are temporarily combined in a production network. Complementary approaches like [118] put the focus on the mechanisms of knowledge exchanges within groups of actors merging within distributed organisations.…”

Section: Dynamics Of Competencies Within Stable Distributed Organisatmentioning

confidence: 99%

Formalisation and use of competencies for industrial performance optimisation: A survey

Boucher

Bonjour

Grabot³

2007

Computers in Industry

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. Formalisation and use of competencies for industrial performance optimisation : a survey.. Computers in Industry, Elsevier, 2007, 58 (2) Abstract. For many years, industrial performance has been implicitly considered as deriving from the optimisation of technological and material resources (machines, inventories,...), made possible by centralized organisations. The topical requirements for reactive and flexible industrial systems have progressively reintroduced the human workforce as the main source of industrial performance. Making this paradigm operational requires the identification and careful formalisation of the link between human resource and industrial performance, through concepts like skills, competencies or know-how. This paper provides a general survey of the formalisation and integration of competence-oriented concepts within enterprise information systems and decision systems, aiming at providing new methods and tools for performance management.

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Information based, dynamic quality information system for non-hierarchic regional production networks

Cited by 11 publications

References 1 publication

Module-based quality system functionality evaluation in production logistics

Module-based quality system functionality evaluation in production logistics

Production Networks and Partner Selection Problem

Formalisation and use of competencies for industrial performance optimisation: A survey

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