Agile project management framework

Molhanec, Martin

doi:10.1109/isse.2010.5547336

Cited by 7 publications

(6 citation statements)

References 3 publications

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“…The Author is convinced that Extreme Agile Product Design proposed by him is an innovative approach overcoming deficiencies of traditional, i.e., non-Agile, approach. This work builds on the achievements resulting from the previous works of the Author regarding Agility in the area of electrical manufacturing, see [11], [22], [23].…”

Section: Discussionmentioning

confidence: 88%

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Extreme manufacturing — Agility to greater productivity and quality

Molhanec

2014

Proceedings of the 2014 37th International Spring Seminar on Electronics Technology

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This contribution introduces a new way to productivity and quality improvement -Extreme Manufacturing (XM). The Author examines the origins and significance of this new approach which is based on well-known idea of Agility -a concept originated in the area of software development. But the Author employs this concept for increasing an efficiency and flexibility of product design -namely in the field of electronics manufacturing, for example component and PCB manufacturing, soldering, etc. The idea of Extreme Manufacturing is demonstrated by the proposal of Extreme Agile Product Design (XAPD), primarily intended as a tool for rapid design of electronic products. This work builds on the achievements resulting from the previous works of the Author regarding Agility in the area of electrical manufacturing.Here is explained how the basic principles of Extreme Manufacturing may be employed in the field of product design. Further, we clarify how the employment of this approach may increase a quality of the whole design process as well as the quality of final product. Finally, it will be presented some recommendations on how to successfully apply Extreme Manufacturing approach in practice.

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Section: Discussionmentioning

confidence: 88%

“…Benefits and disadvantages of this solution are discussed. Further, a proposal of Extreme Agile Product Design (XAPD) based on Agile Project Management Framework [11] is submitted.…”

Section: Introductionmentioning

confidence: 99%

Extreme manufacturing — Agility to greater productivity and quality

Molhanec

2014

Proceedings of the 2014 37th International Spring Seminar on Electronics Technology

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“…That's why they developed an ontology, based on the standard ISO-15926 to improve the representation of knowledge used and produced during FMEA. In [13], authors are trying for lead free soldered, for its accomplishment they need to carry an FMEA to find all critical failures associated to this process and their impact on the quality of lead free soldered joints. They suppose that ontology is suitable to store the knowledge produced during FMEA as it offers the common understanding of the domain of their focus and its procedures; and it is also a computationally processed model to represent knowledge.…”

Section: Related Workmentioning

confidence: 99%

“…Authors in [4] focused on the deficiencies left by [10] by combining knowledge management and quality management systems to reuse the existing FMEA knowledge easily but according to them this work still misses a commonsense ontology to provide the parts of standardized and functional taxonomy. Authors in [13] proposed a method for better FMEA procedure representation using ontologies for lead free soldering but still his work is under research. Moreover no specific ontology is found to address the FMEA knowledge sharing and reuse for automotive domain.…”

Section: Related Workmentioning

confidence: 99%

A Conceptual Architecture of Ontology Based KM System for Failure Mode and Effects Analysis

Rehman

Kifor

2014

INT J COMPUT COMMUN

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Failure Mode and Effects Analysis (FMEA) is a systematic method for procedure analyses and risk assessment. It is a structured way to identify potential failure modes of a product or process, probability of their occurrence, and their overall effects. The basic purpose of this analysis is to mitigate the risk and the impact associated to a failure by planning and prioritizing actions to make a product or a process robust to failure. Effective manufacturing and improved quality products are the fruits of successful implementation of FMEA. During this activity valuable knowledge is generated which turns into product or process quality and efficiency. If this knowledge can be shared and reused then it would be helpful in early identification of failure points and their troubleshooting, and will also help the quality management to get decision support in time. But integration and reuse of this knowledge is difficult because there are number of challenges e.g., unavailability of unified criteria of FMEA knowledge, lack of semantic organization, natural language text based description of knowledge, most of the times FMEA is started from scratch instead of using existing knowledge that makes it incomplete for larger systems, and above all its success depends on the knowledge which is stored in the brains of perfectionists in the form of experience which may or may not be available anytime anywhere. In this article we are proposing an Information and Communication Technology (ICT) based solution to preserve, reuse, and share the valuable knowledge produced during FMEA. In proposed system existing knowledge available in repositories and experts head will be gathered and stored in a knowledge base using an ontology, and at the time of need this knowledge base will be inferred to make decisions in order to mitigate the probable risks. Ontology based approaches are best suited for the knowledge management systems, in which human experts are required to model and analyze their expertise in order to feed them in a conceptual knowledge base for its preservation and reuse.

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“…Authors in [1] considered the discrepancies left by [7] and proposed a system, based on the combination of knowledge management and quality management concepts but it lacks functional taxonomy. In [10] authors discussed a better ontology based approach for FMEA procedure representation in lead free soldering but this proposal is still being worked on. Moreover no specific ontology is found to address the FMEA knowledge sharing and reuse for automotive domain.…”

Section: Introductionmentioning

confidence: 99%

An Ontology to Support Semantic Management of FMEA Knowledge

Rehman

Kifor

2016

INT J COMPUT COMMUN

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Risk mitigation has always been a special concern for organization's strategic management. Various tools and techniques have been developed to manage risk in an effective way. Failure Mode and Effects Analysis (FMEA) is one of the tools used for effective assessment of risk. It analyzes all potential failure modes, their causes, and effects on a product or process. Moreover it recommends actions to mitigate failures in order to enhance product reliability. Organizations spend their resources and domain experts make their efforts to complete this analysis. It further helps organizations identify the expected risks and plan strategies in advance to tackle them. But unfortunately the analysis produced after spending a lot of organizational assets and experts' struggles, is not reusable due to its natural language text based description. Information and communication technology experts proposed some solutions but they are associated with some deficiencies. Authors in [13] proposed an ontology based solution to extract and reuse FMEA knowledge from the textual documents, and this article is the first step towards its implementation. In this article we proposed our ontology for Process Failure Mode and Effects Analysis (PFMEA) for automotive domain, along with its implementation, reasoning, and data retrieval through it.

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Agile project management framework

Cited by 7 publications

References 3 publications

Extreme manufacturing — Agility to greater productivity and quality

Extreme manufacturing — Agility to greater productivity and quality

A Conceptual Architecture of Ontology Based KM System for Failure Mode and Effects Analysis

An Ontology to Support Semantic Management of FMEA Knowledge

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Agile project management framework

Cited by 7 publications

References 3 publications

Extreme manufacturing &#x2014; Agility to greater productivity and quality

Extreme manufacturing &#x2014; Agility to greater productivity and quality

A Conceptual Architecture of Ontology Based KM System for Failure Mode and Effects Analysis

An Ontology to Support Semantic Management of FMEA Knowledge

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Extreme manufacturing — Agility to greater productivity and quality

Extreme manufacturing — Agility to greater productivity and quality