scholarly journals Knowledge-Based Open Performance Measurement System (KBO-PMS) for a Garment Product Development Process in Big Data Environment

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 129910-129929 ◽  
Author(s):  
Yan Hong ◽  
Tianyu Wu ◽  
Xianyi Zeng ◽  
Yuyang Wang ◽  
Wen Yang ◽  
...  
Author(s):  
Gu¨ls¸en Akman ◽  
Gu¨l E. Okudan

A well-designed performance measurement system can assess the impact of product development on the whole company. To this end, a set of suitable product development measures can provide valuable information for managing the activities and continuous improvement of the product development process. In this paper, via our literature review, we first establish the gaps with regards to the product development performance measurement. Then, we identify performance criteria for assessing product development process effectiveness based on competitive priorities (cost, quality, flexibility, delivery and innovation) followed by an ANP analysis to develop a model for Product Development Performance Monitoring (PDPM). Finally, using a two tier survey setting, the validity and reliability of the PDPM model are ascertained, and field data for its usage as an assessment tool for product development is demonstrated. The field study was conducted by participation of a sample of manufacturing companies in Turkey.


Author(s):  
Gu¨ls¸en Akman ◽  
Gu¨l E. Okudan

Product development is important more than ever for manufacturing firms. A well-designed performance measurement system can assess the impact of product development on the whole company. Such a system can also be utilized for motivating employees, especially product development staff. Naturally, a set of suitable product development measures can provide valuable information for managing the activities and continuous improvement of the product development process. In this paper, via our literature review, we first establish that “a suitable set of performance measures” to assess product development performance is not readily available. Then, we identified performance criteria for assessing product development process effectiveness based on competitive priorities (cost, quality, flexibility, delivery and innovation) followed by ANP analysis. Finally, using a two tier survey setting, the validity and reliability of the criteria set were ascertained, and field data for its (performance measure set) usage as an assessment tool for product development is demonstrated. The field study was conducted by participation of a sample of manufacturing companies in Turkey.


2016 ◽  
Vol 20 (2) ◽  
pp. 13-25 ◽  
Author(s):  
Aki Jääskeläinen ◽  
Juho-Matias Roitto

Purpose This paper aims to understand how performance measurement system development process can be supported by visualization techniques. It analyses the suitability of different visualization techniques in the tasks needed in designing, implementing and using performance measurement. Design/methodology/approach The research builds upon literature review and analysis. The empirical access to five recent performance measurement system development projects is also used to evaluate the applicability of visualization techniques. The emphasis is in information visualization, and the following techniques are examined: maps, diagrams, networks, visualized models, graphs, charts and dashboards. Findings The study provides a concise overview on visualization techniques highlighting the managerial tasks related to performance measurement system development process. It contributes as a discussion opener inviting more academicians to study the topic of visualization in management and to further test and broaden the proposals presented in the paper. Research limitations/implications Further in-depth empirical research is needed regarding each phase of performance measurement development process. A further study could also stress more the proactive use of performance measurement paying attention also to the external environment. Practical implications The topic of information visualization is practically driven. The results support practitioners in evaluating and choosing visualization techniques supporting their timely challenges in the performance measurement development. Originality/value Few studies on information visualization have been carried out in the context of management science. Visualization can integrate human in the data exploration process and improve understanding over large data sets without complex quantitative methods. Visualization techniques have been proposed as powerful means to enhance the effectiveness of performance measurement. This study structures and clarifies the ambiguous topic of visualization and performance management and suggests areas for further research.


Author(s):  
Frances J. Laue ◽  
Jerry W. Hedge ◽  
Melody L. Wall ◽  
Larry A. Pederson ◽  
Barbara A. Bentley

2020 ◽  
Vol 28 (3) ◽  
pp. 198-209
Author(s):  
Amir Hejazi ◽  
Nadia Bhuiyan ◽  
Mohammed Othman

Over the past few years, organizations have faced pressure from stakeholders to implement lean principles in their product development processes. However, the existing methods are not capable of measuring the benefits of adopting lean initiatives in the product development process. This research aims to develop a performance measurement model that can measure the effects of implementing lean in the engineering process. Engineering effort is analyzed in order to identify hidden wastes (e.g. inventory in the form of information about product specifications or engineering errors) in the engineering process. The model has been implemented in a civil design process of an engineering consultant company to validate the general applicability of the new model. The implementation of the model provides visibility on the waste hidden in the engineering process and quantifies that waste. The most significant contribution of this research is the development of new performance metrics and a decomposition chart. Finally, performance metrics are properly linked and the model treats lean as a holistic system, quantitatively measuring performance at different organizational levels.


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