Life Cycle Processes: Standards, Capability and Maturity Models, Process Improvement Models, and Appraisal Methods

2002 ◽  
Author(s):  
Christina M. Patterson ◽  
Margaret R. Porteus ◽  
Karn J. Richter
2007 ◽  
Vol 8 (2) ◽  
pp. 32-56
Author(s):  
Shiaw‐Wen Tien ◽  
Chung‐Ching Chiu ◽  
Yi‐Chan Chung ◽  
Chih‐Hung Tsai ◽  
Chin‐Fa Chang

2018 ◽  
Vol 10 (2) ◽  
pp. 38-44
Author(s):  
Juliano Rodrigues Ramos

The high level of abstraction of software process improvement modelsand most software products make Maturity Test (TMA) and Test Process Improvement (TPI) win in industry and software research. The objective of this work is to delineate, from a literature review, the results are compared with the maturity models of Testing Processes (TMMi, TPI (Next) and MPT.br). The systemic basis of literature based on data available on the web. The results are a synthesis of the three types of test maturity investigated, being that they are part of the academic model and the comparisonsare characteristic of the models. In conclusion there are many maturity models of tests proposed in the literature, with TMMi and TPI being the most usable at an international level, and MPT.br the model in the Brazilian context.


Author(s):  
Lukas W. H. Ku¨hl ◽  
Heinz D. Kno¨ll

The improved approach is considered as a life-cycle model that combines the necessities of process improvement projects and the implementation of modern integrated Standard Software systems. To improve the company’s business processes by means of the Standard Software implementation, each phase of the entire implementation life cycle puts its focus on optimising the customer’s underlying business processes. In addition, to intensify the benefits resulting from the process-oriented system implementation, the presented approach is extended by a certain guidance to organise a process-driven project team.


Author(s):  
Jennifer J. Buis ◽  
John W. Sutherland ◽  
Fu Zhao

Life cycle assessment (LCA) is a widely used tool to evaluate the environmental profile of a product or process, and can serve as a starting point for product and process improvement. Using LCA to support sustainable product design and sustainable manufacturing has recently attracted increasing interest. Unfortunately, the available life cycle inventory databases have very limited coverage of manufacturing processes. To make matters worse, the available datasets are either highly aggregated or consider only selected processes and process conditions. In addition, in the case of the latter, the data provided may be based on limited measurements or even just estimates. This raises questions on applicability of these databases to manufacturing process improvement where different operating parameters and conditions are adopted. Recently a novel methodology called “unit process life cycle inventory” or “uplci” has been proposed to address these issues, and models for several machining processes (e.g., turning, milling, and drilling) and joining (e.g, submerged arc welding) have been developed. This paper follows the uplci approach and develops models for a series of hot forming processes, including billet heating, performing, and indirect extrusion. It is shown that the model predictions on energy consumption are in good agreement with data measured on a production line. For hot forming processes, the results suggest that billet heating dominates the overall energy consumption and the carbon footprint relative to the deformation steps.


Author(s):  
Margaret Brooks ◽  
J. J. Lovett ◽  
Sam Creek

Author(s):  
Analia Irigoyen Ferreiro Ferreira ◽  
Gleison Santos ◽  
Roberta Cerqueira ◽  
Mariano Montoni ◽  
Ahilton Barreto ◽  
...  

2021 ◽  
Vol 116 ◽  
pp. 00074
Author(s):  
L. A. Malysheva ◽  
O. G. Kharlamova

This paper considers the issues of the implementation of the digital transformation of industrial enterprises: the analysis of the existing model (AS IS) and planning the desired model (TO BE), depending on different conditions. The authors present the existing business models of digital transformation, reveal different approaches to classification, as well as their drawbacks from the point of view of practical application. In general, the models can be applied to diagnostics, but not to planning the desired state. The principle of classification of transformation models based on the life cycle of the market is proposed: monopoly, oligopoly, competition and monopsony. Firstly, the life-cycle approach allowed applying the author’s Dynamic Model of Changes in Corporate Strategies (Dynamics) to digital transformation. This model was proposed earlier for the classification of traditional business models. Secondly, the life-cycle approach allowed using the maturity models of the industry, strategies, product, processes, data etc. in order to build a planning algorithm for the desired business model. As a result of the lifecycle approach to the classification of business models, it was possible to develop an algorithm for diagnosing and planning the desired digital transformation model, taking into account the limitations of maturity levels and present it in the form of a Digital Dynamic Model of Corporate Strategy Changes (Dynamics).


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