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In order to achieve a successful new product, and assist the successful implementation of a new product into a company, it is useful to have a structured and documented approach to New Product Development (NPD), therefore providing a clear roadmap for the development of new products. This review highlights the NPD process, from concept to consumer...
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Context 1
... to NPD is that the information flows sequentially from department to department, and forms a problematic 'over the wall' style development, as demonstrated in figure 3. This both increases the time from product concept to product launch and increases the number of formally documented engineering changes late in the process. ...
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The Front-end of Innovation (FEI) is the innovation process phase where new products are defined prior to development. The outcome of this process is of great importance for the innovation and design phases that come after the FEI (Backman et al., 2008). The FEI is a lightweight process with a huge impact on the New Product Development (NPD) proce...
Purpose: The article focuses on supply capability creation (SCC) within the new product development (NPD). The purpose is to establish an SCC process describing the main SCC activities and milestone criteria in preparing the supply process for new productsDesign/methodology/approach: The article analyses the earlier research, carries out current st...
In order to achieve a successful new product, and certainly the successful implementation of a new product into a company, it is necessary to have a structured and documented approach to New Product Development (NPD), therefore providing a clear roadmap for the development of new products. This review highlights the NPD process, from concept to con...
New product development (NPD) is a crucial process to keep a company being competitive. However, because of its inherent features, NPD is a process with high risk as well as high uncertainty. To ensure a smooth operation of NPD, the risk involved in the process need to be assessed and the uncertainty should also be addressed properly. Facing these...
Citations
... Today, there is a lot of over the wall machine learning where subject matter experts throw their data to machine learning experts who know little to nothing about the subject [24]. They create a model that they think works well and throw it back "over the wall" to the subject matter experts. ...
The United Nations Sustainable Development Goals (SDGs) have become a foundational metric for advancing engineering education in non-traditional ways, similar to the NSF’s Big 10 Ideas and the Grand Challenges. Recently, there has also been a national push to use machine learning (ML) and artificial intelligence (AI) to advance engineering techniques in all disciplines ranging from advanced fracture mechanics in materials science to soil and water quality testing in the civil and environmental engineering fields. Using AI, specifically machine learning, engineers can automate and decrease the processing or human labeling time while maintaining statistical repeatability via trained models and sensors. Edge Impulse has designed an open-source TinyML-enabled Arduino education tool kit for engineering disciplines. This paper discusses the various applications and approaches engineering educators have taken to utilize ML toolkits in the classroom. We provide in-depth implementation guides and associated learning outcomes focused on the Environmental Engineering Classroom. We discuss five specific examples of four standard Environmental Engineering courses for freshman and junior-level engineering. There are currently few programs in the nation that utilize machine learning toolkits to prepare the next generation of ML AI-educated engineers for industry and academic careers. This paper will guide educators to design and implement ML/AI into engineering curricula (without a specific AI or ML focus within the course) using simple, cheap, and open-source tools and technological aid from an online platform in collaboration with Edge Impulse. Specific examples include 1) facial recognition technologies and the biases involved, 2) air quality detection using an accelerometer, 3) roadside litter detector, 4) automated bird identifier, and 5) wildlife camera trap detection.
... Today, there is a lot of "over the wall" machine learning 24 where subject matter experts throw their data to machine learning experts who know little to nothing about the subject. They create a model that they think works well and throw it back "over the wall" to the subject matter experts. ...
Recently, there has been a national push to use machine learning (ML) and artificial intelligence (AI) to advance engineering techniques in all disciplines ranging from advanced fracture mechanics in materials science to soil and water quality testing in the civil and environmental engineering fields. Using AI, specifically machine learning, engineers can automate and decrease the processing or human labeling time while maintaining statistical repeatability via trained models and sensors. Edge Impulse has designed an open-source TinyML-enabled Arduino education tool kit for engineering disciplines. This paper discusses the various applications and approaches engineering educators have taken to utilize ML toolkits in the classroom. We provide in-depth implementation guides and associated learning outcomes focused on the Environmental Engineering Classroom. We discuss five specific examples of four standard Environmental Engineering courses for freshman and junior-level engineering. There are currently few programs in the nation that utilize machine learning toolkits to prepare the next generation of ML and AI-educated engineers for industry and academic careers. This paper will guide educators to design and implement ML/AI into engineering curricula (without a specific AI or ML focus within the course) using simple, cheap, and open-source tools and technological aid from an online platform in collaboration with Edge Impulse.
... Although the product development process is essential for the competitive advantage of companies, it also brings many risks. Risks are inherent in every product development [1]. The elimination of these risks will also be effective in deciding whether to continue with the new product. ...
... While the risks in another process are evaluated using the The project is complex. DE 3 Lack of product development reviews T Technical risks T 1 Failure to read technical instructions T 2 Lack of technical equipment required for production T 3 Not using innovative technologies in production PE Personnel risks PE 1 Insufficient number of production personnel PE 2 High personnel turnover rate PE 3 Mobbing CO Contract risks CO 1 The sudden changes in contract terms CO 2 License/patent, etc. ...
Some factors in the product development process can increase success. Evaluating the risks and success factors is necessary for a more successful product development process. Some inadequacies arise in classical risk assessment methods due to the subjective nature of likelihood and severity ratings. Different probability and impact values can give the same risk size. Due to these inadequacies, doubts about the accuracy of risk prioritization may arise. In this study, a new risk prioritization model is proposed to eliminate these doubts and to consider their contribution to the success of the process they affect while prioritizing the risks, with a detailed literature review and the support of the experts of the applied company, the risks affecting the product development process. The importance levels of risks and success factors were calculated using the analytical hierarchy process. With the proposed model, unlike the classical method, when calculating the risk size, the risk weight and the total score from the success factors are added to the likelihood and severity values of the risk. Thus, companies will obtain more detailed and objective results, considering success factors and risk importance levels, and use the resources they allocate for risk reduction activities more efficiently.
... To eliminate the sequential development process that has been used traditionally, sometimes referred to as "over-the-wall engineering" (Owens & Cooper, 2001), di erent ways of restructuring the process and integrating it with other necessary activities (for example, production system development) have been proposed and implemented (with varying degrees of success). In the 1980s, Andreasen and Hein (1986) defined integrated product development to bridge the gap between product development and production. ...
PhD Thesis on material selection and how well current tools and methods help developers make good decisions.
... To eliminate the sequential development process that has been used traditionally, sometimes referred to as "over-the-wall engineering" (Owens & Cooper, 2001), di erent ways of restructuring the process and integrating it with other necessary activities (for example, production system development) have been proposed and implemented (with varying degrees of success). In the 1980s, Andreasen and Hein (1986) defined integrated product development to bridge the gap between product development and production. ...
... Moreover, product development is taking important consideration while the product being sold in market. This strategy can help producers to attain a successful new product and to position product as source for competitive advantage (Owens & Cooper, 2001). For example, consumers based on their generations showing different behaviour and judgment when deciding to buy certain products. ...
Chocolate spread is a type of paste which is mostly spread on breads and pastries. This research was conducted by calculating financial feasibility of chocolate spread with addition of coconut flour and coconut sugar produced by Yayasan Suren untuk Indonesia. The aim of this research is to observe the financial feasibility of chocolate spread with addition of coconut flour and coconut sugar in order to obtain its development strategy on production management and marketing. The results showed BEP value of 16659,4; PBP (year) value of 1,9; NPV value of 20389635,9; IRR value of 1526% and B/C ratio of 1,05. Therefore, based on financial feasibility analysis, this business is feasible to execute. Furthermore, based on sensitivity analysis using four scenarios, this business is not feasible to execute while undergoes increasing of price of raw material as big as 4% and decreasing of selling price as big as 3%. Based on those scenario, NPV value of this business was Rp -194.353.160,28 (<0); followed by value of IRR, Net B/C, payback period and BEP were 10,94%; 1,00; 7,88 and 155.020,62 respectively.
... Thus, it is possible to define a generic procedure and apply it to the development of disparate products such as medical devices and household appliances. The application of such a procedure has manifold advantages; to name just a few, it facilitates planning, increases predictability, helps to improve quality, reduces costs, and compresses cycle times (Owens and Cooper 2001;Sheridan 2003). On the other hand, a dedicated procedure, one that considers the characteristics of the product being developed and the environment in which that development occurs, can provide additional benefits ( Charnley et al. 2011). ...
... In spite of the differences among product development processes, it is possible to define a generic procedure since they share common tasks and features. The application of such a procedure has many advantages such as facilitate planning, increase predictability, help to improve quality, reduce costs, and compress cycle times [2] [3] [4]. However, is possible to obtain further benefits if a dedicated procedure is used, that is, a procedure that considers the characteristics of the product being developed and the environment in which the development occurs. ...
... In spite of the differences among product development processes, it is possible to define a generic procedure since they share common tasks and features. The application of such a procedure has many advantages such as facilitate planning, increase predictability, help to improve quality, reduce costs, and compress cycle times [2][3][4]. However, is possible to obtain further benefits if a dedicated procedure is used, that is, a procedure that considers the characteristics of the product being developed and the environment in which the development occurs. ...
Small and medium-sized enterprises (SMEs) in Thailand’s food industry face challenges in competitiveness due to limited resources, low technological adoption, and workforce constraints. While digitalization and IT competency are recognized as drivers of innovation, their interconnected roles in digital transformation and new product development (NPD), creating unique products or services, remain underexplored. This study examines the mediating role of digitalization between IT competency and digital transformation and explores how digital transformation influences NPD to enhance the competitiveness of Thai food SMEs. Grounded in dynamic capability theory, data were collected through an online questionnaire distributed to representatives of Thai food SMEs listed in the Ministry of Commerce’s warehouse database. Conducted between December 2021 and February 2022, the study obtained 83 valid responses from a sample of 2665 (3.1% response rate). Partial Least Squares Structural Equation Modeling (PLS-SEM) analysis reveals that digitalization fully mediates the relationship between IT competency and digital transformation, which significantly enhances NPD. The findings highlight IT competency, digitalization, and digital transformation as key drivers for innovation, offering strategic insights for policymakers and practitioners. This study also advances dynamic capability theory and emphasizes the need for Thai SMEs to adopt technological capabilities to remain competitive in emerging markets.
