Smartes Assistenzsystem zur Anforderungserhebung/From customer idea to plant and machinery manufacturer – An intelligent assistance system for requirements elicitation

2021 ◽  
Vol 111 (05) ◽  
pp. 295-299
Author(s):  
Erik-Felix Tinsel ◽  
Oliver Riedel ◽  
Alexander Verl

Fehler bei der Inbetriebnahme von Maschinen und Anlagen sind kostspielig und zeitintensiv. Dabei steigen die Kosten mit dem Voranschreiten des Entwicklungsprozesses stark an. Um Missverständnisse oder Planungsfehler zu minimieren, bevor diese hohe Kosten verursachen, wird ein intelligentes Assistenzsystem beschrieben, das die Vorstellungen, Ziele und Mittel des Kunden auf einfache Weise erfasst und auftretende Probleme oder Unklarheiten reaktiv korrigiert. Der Maschinen- und Anlagenhersteller profitiert dabei von einer automatisch erstellten, einheitlichen Dokumentation der Kundenanforderungen.   Errors during commissioning of machines and plants are costly and time intensive. The costs grow higher with every step of the development process. To minimize misunderstandings and planning errors during the requirements phase, an intelligent assistance system is being introduced which acquires the ideas, goals and resources of a customer in a simple manner and reactively corrects arising problems or ambiguities. The machine and plant manufacturer profits from the uniform documentation of customer requirements.

Author(s):  
Tapio Korpela ◽  
Ari Heikkinen ◽  
Tatu Leinonen

Abstract Laboratory of Machine Design at the University of Oulu has modelled the production information for a gear transmission unit in co-operation with a Finnish gear manufacturer, Santasalo Ltd. The basic idea was to integrate computer aided design into modern FMS-based production activities. The main goal in this project is to capture the whole gear box development process from customer requirements to manufacturable assembly and detail information in OOA models.


Author(s):  
Asko Ellman ◽  
Petter Krus

Establishing product requirements for the customer is usually the first step in the product development process. Indeed, identifying and fulfilling customer requirements is the key for successful product development. However, satisfying all the customer requirements is not always possible. Therefore, the best design is the design that fulfils a set of the most important customer requirements. Due to this, design process needs to be agile and iterative. Design and its requirements need to be effectively iterated.


2017 ◽  
Vol 10 (13) ◽  
pp. 143 ◽  
Author(s):  
Jayasudha R ◽  
Viswanathan V ◽  
Shanthi P

The concept of reuse is applied in one of the agile development methodologies called the scrum. Sprint is a single functionality and the result at the end of the sprint functionality is derived as the shippable or bugs. This paper makes an attempt to use the concept of reuse in the agile software development to meet the dynamic change of customer requirements in banks. A banking project is created using both waterfall model and scrum model, and the knowledge gained is stored in the ontology-based repository for the first time. Again, the same project is created for different vendors using the ontology-based repository. The result shows that maximum sprint is reused and all the knowledge gained is stored in the form of ontology. This ontology helps identify the shippable component of each sprint which is a small executable functionality. This leads to less cost and time to deliver the product. The main aim is to increase the availability of the reusable artifacts, which lead to increase the reusability of the developer. The experimental results show improvements in the performance of retrieving the components for the software development.  


Author(s):  
Robins M. Kalapurackal ◽  
Shun Takai

Quality function deployment (QFD) is one of the most popular tools used in the product development process. It relates customer requirements to product requirements and enables engineers to determine which product requirement is more important than the others in satisfying customers. Some of the benefits of QFD are cost reduction, fewer design changes at the start of production, and improved communication among engineers. QFD applications use various approaches (i.e., worth calculation schemes and rating scales) to calculate the worth of requirements. The purpose of this paper is to study the change in the relative worth (normalized worth) of product requirements yielded by different rating scales and calculation schemes. We studied empirical and simulation-generated QFD matrices to determine how calculation schemes and rating scales influence the relative worth of requirements. Two representative scales and two calculation schemes are used to find the most and least sensitive cases, and the influence of the number of rows and columns in the relative worth of requirements. From the results, we identified the least sensitive and most sensitive combination of calculation scheme and rating scale. We also learned that QFD matrices become less sensitive to changes in rating scale and calculation scheme as the number of columns increases.


2010 ◽  
Vol 24 (5) ◽  
pp. 381-413 ◽  
Author(s):  
Mehdi Najjar ◽  
François Courtemanche ◽  
Habib Hamam ◽  
André Mayers

2006 ◽  
Vol 14 (1) ◽  
pp. 67-82 ◽  
Author(s):  
Jože Duhovnik ◽  
Janez Kušar ◽  
Rok Tomaževič ◽  
Marko Starbek

2000 ◽  
pp. 127-147 ◽  
Author(s):  
Manton Matthews ◽  
Walter Pharr ◽  
Gautam Biswas ◽  
Harish Neelakandan

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