scholarly journals A Risk Management Framework for New Product Development: A Case Study

2014 ◽  
Vol 13 (2) ◽  
pp. 203-209 ◽  
Author(s):  
Chompoonoot Kasemset ◽  
Jaruwan Wannagoat ◽  
Wassanai Wattanutchariya ◽  
Korrakot Y. Tippayawong
2016 ◽  
Vol 29 (2) ◽  
pp. 110-124 ◽  
Author(s):  
Jorge Ayala-Cruz

Purpose The purpose of this paper is to present the implementation and testing of a modified project risk management framework that integrates PMI’s framework with Monte Carlo simulation to improve the effectiveness in high-tech new product development (NPD) projects. Design/methodology/approach The modified framework considers three bodies of knowledge: project management, risk management, and Monte Carlo simulation to produce an enhance project risk management framework. Its application is shown through a case study. Findings Using the integrated framework in a recent case study project and prior NPD projects measures (as benchmarks), it was shown that it could help to enhance risk responses caused by task durations and costs’ uncertainties. The framework proved to be better than segregated generic best practices and was key in providing insight to the issue of early project risk assessment. Research limitations/implications More experimental replications are required for enhancement effectiveness assertions of the framework, through the application of the framework to similar case studies. Furthermore, this could improve its reliability and soundness. Practical implications Future directions for research could include case and empirical studies that include hypothesis’s testing, and the integration of optimization procedure for improved NPD project’s planning and execution. Originality/value This paper outlines a way to close the gap of project risks management planning in NPD’s initiatives. It was motivated by a relatively new tendency in exploring integrated frameworks to deal with complex project risks issues.


2008 ◽  
Vol 25 (9) ◽  
pp. 899-912 ◽  
Author(s):  
André Segismundo ◽  
Paulo Augusto Cauchick Miguel

PurposeEffectively managing risk is an essential element of successful project management. In this sense, the present study seeks to propose a systematisation of technical risk management through the use of FMEA to optimise the decision making process in new product development (NPD).Design/methodology/approachThe methodological approach adopted in this paper is a case study at an automaker in Brazil. Data were gathered from various sources, mostly participant observation and document analysis of two important NPD programmes. The risk management system was described and its influence on programs development analysed.FindingsResults included a reduction in the number of project and test planning loopings as well as a reduced number of prototypes needed to approve product components. In addition, there was a positive influence on the product development decision‐making process, evidenced by better allocation of resources among projects at the programme.Research limitations/implicationsThe study is limited to a single case study which considers two major NPD programmes. Replications among other units of analysis are needed to further validate current findings.Originality/valueThis paper is one of the few published studies that report and discuss the FMEA within a broad context of risk analysis.


2016 ◽  
Vol 31 (3) ◽  
pp. 418-425 ◽  
Author(s):  
Mehran Salavati ◽  
Milad Tuyserkani ◽  
Seyyede Anahita Mousavi ◽  
Nafiseh Falahi ◽  
Farshid Abdi

Purpose The principal aim of this study is to investigate the relationship between technological, marketing, organizational and commercialization risk management on new product development (NPD) performance. Design/methodology/approach Based on questionnaire, the data were collected from a sample of general automotive industry in Iran. Based on theoretical considerations, a model was proposed and descriptive statistic and hierarchical regression were used to measure the relationship between risk management factors and NPD performance. Findings Data analysis revealed that if organization can amplify their knowledge and information about risk and main factors that affect NPD process, not only can they do their work better but can also increase their ability to predict future happenings that affect performance. Research limitations/implications First, due to the relatively small sample size, caution should be exercised when interpreting the results. Second, the data were collected from automotive producer in Iran, which may restrict to some extent generalizability of the findings. Practical implications The results suggest that managers should consider more attention to risk management. If managers spread the risk management in all aspects of the NPD project, total performance will be increased and it can develop the probability of NPD success. Also organizations should perform great market research due to best commercialization. Originality/value Past researches have presented complete information about NPD process. But identifying and considering the effect of the risk management parameters that are connected to the NPD process were the main thrusts to perform the study. In this paper, based on past research about risk management of NPD, the extra aspect of process that can improve total performance of NPD has been examined.


Author(s):  
J Poolton ◽  
I Barclay

There are few studies that have found an adequate means of assessing firms based on their specific needs for a concurrent engineering (CE) approach. Managers interested in introducing CE have little choice but to rely on their past experiences of introducing change. Using data gleaned from a nine month case study, a British-wide survey and a series of in-depth interviews, this paper summarizes the findings of a research study that examines how firms orientate themselves towards change and how they go about introducing CE to their operations. The data show that there are many benefits to introducing CE and that firms differ with respect to their needs for the CE approach. A tentative means to assess CE ‘needs’ is proposed which is based on the level of complexity of goods produced by firms. The method is currently being developed and extended to provide an applications-based framework to assist firms to improve their new product development performance.


2010 ◽  
Vol 27 (3-4) ◽  
pp. 172-182 ◽  
Author(s):  
Effrosyni Petala ◽  
Renee Wever ◽  
Chris Dutilh ◽  
Han Brezet

2011 ◽  
Author(s):  
Chun-Yu Lin ◽  
Amy H. I. Lee ◽  
Ilias Kotsireas ◽  
Roderick Melnik ◽  
Brian West

2012 ◽  
Vol 452-453 ◽  
pp. 253-257 ◽  
Author(s):  
Li Lin ◽  
Xian Sheng Ran ◽  
Tian Hong Luo

This study extends the new product development (NPD) to a new field; Market Driving Digital New Product Development Method is addressed in this paper, which is based on reverse engineering and rapid prototyping technology. This study finds that the higher the effort on marketing-R&D process, the less possible it might encounter risk. Thus, a better NPD performance can be achieved by market driving Digital NPD method (MDDNPD).A case study of All-Terrain Vehicle (ATV) is used to illustrate the new method. We believe that the proposed methodology will have a positive impact on the future new product development.


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