Product Development Process Research Articles

CUSTOMER SATISFACTION REGARDING HONDA BIKES

Customer satisfaction regarding Honda bikes is a critical aspect of assessing market performance and brand loyalty. In recent years, Honda has consistently strived to enhance customer satisfaction through various strategies encompassing product quality, after-sales service, and innovation. Key factors contributing to customer satisfaction include reliability, fuel efficiency, performance, and design aesthetics. Honda's commitment to research and development ensures the incorporation of cutting-edge technology, resulting in bikes that meet or exceed customer expectations. After-sales service plays a pivotal role in enhancing customer satisfaction, with Honda establishing a widespread network of service centers to address maintenance needs promptly. The availability of genuine spare parts further reinforces customer trust and satisfaction.Feedback mechanisms such as customer surveys and online reviews allow Honda to gauge satisfaction levels and identify areas for improvement continually. Incorporating customer feedback into product development processes enables Honda to tailor offerings to meet evolving consumer preferences effectively.Moreover, Honda's emphasis on sustainability and eco-friendliness resonates well with environmentally-conscious consumers, further bolstering satisfaction levels. Through a holistic approach encompassing product quality, service excellence, innovation, and sustainability, Honda consistently strives to foster high levels of customer satisfaction, thereby solidifying its position as a leading brand in the motorcycle industry. Keywords : Honda bikes,customer satisfaction,product quality, performance, reliability, design,affordability,after-sales service

Leveraging data analytics for informed product development from conception to launch

This review paper explores the impact of data analytics on guiding product development processes from conception to launch. It synthesizes findings from existing literature to outline how data-driven strategies can optimize each phase of product development, thereby enhancing efficiency and effectiveness in meeting market demands. The review spans various industries, highlighting the universality of data analytics applications in product innovation. The paper details how data analytics facilitates better decision-making through predictive insights into market trends and consumer preferences, which are crucial for defining product specifications and features. It also examines the role of data in refining production processes, ensuring quality control, and customizing marketing strategies to target potential customer segments effectively. Additionally, the review considers the benefits of continuous data evaluation during the product testing phase, enabling quicker adjustments and improvements. The findings indicate that data analytics significantly shortens the product development timeline and increases the likelihood of market success. Organizations leveraging data-driven insights from the outset of product development gain a competitive edge by creating more aligned and responsive products. The paper recommends broader adoption of robust data analytics tools and practices across industries to maximize product development outcomes.

Crowdsourcing capabilities: fueling new products? How firm size and business type matter

Crowdsourcing has emerged as a valuable tool for organizations seeking to access external knowledge and resources for their innovation processes. This study aims to investigate crowdsourcing capabilities in the context of new product development initiatives, with a focus on exploring the moderating effects of firm size and type. Structural Equation Modeling using Partial Least Squares (SEM-PLS) is used to analyze both the measurement and structural models, with data drawn from 217 owners and managers of diverse businesses in Indonesia. These businesses range from small to medium-scale enterprises across various types, including cafes, restaurants, fashion, culinary, and furniture. The findings reveal a positive and significant impact of crowdsourcing capabilities on new product development initiatives (β = 0.746, p = 0.000). Moreover, the relationship between crowdsourcing and new product development is moderated by firm size (whether small or medium) (β = 0.103, p = 0.045) and the type of business (β = 0.157, p = 0.012). The outcomes of this study are anticipated to enrich the body of knowledge and provide valuable guidance for enterprises seeking to harness crowdsourcing in their new product development processes, with specific factors like firm size and type taken into account. AcknowledgmentThis study was supported by the Indonesian Ministry of Education, Culture, and Technology Research in 2022: Research Grant Scheme “PDUPT”No. 124/LL1/LT/K/2022.

Fostering product development efficiency through cross-functional team leadership: Insights and strategies from industry experts

This study investigates the impact of leadership models on the efficiency and innovation outcomes of cross-functional teams (CFTs) in product development contexts. With the aim of identifying effective leadership practices, the research focuses on how transformational, shared, and situational leadership models influence team dynamics, communication, collaboration, and ultimately, product development efficiency. Employing a systematic literature review combined with content analysis, the study analyzes peer-reviewed articles and scholarly books published from 2013 to 2024. This methodology facilitates a comprehensive examination of current leadership models and their applicability to CFTs. Key findings reveal that transformational leadership inspires and motivates team members, shared leadership enhances ownership and accountability, and situational leadership adapts to the dynamic needs of product development projects. These leadership models significantly contribute to fostering an environment conducive to open communication and collaboration, driving innovation and efficiency in product development processes. Based on these insights, strategic recommendations for industry leaders include adopting flexible leadership styles, promoting open communication, encouraging shared leadership, and investing in leadership development. These strategies are pivotal for leveraging the diverse expertise within CFTs and enhancing product development outcomes. The study underscores the critical role of leadership in maximizing the potential of CFTs for innovation and efficiency. It highlights the need for leaders to adapt their strategies to the unique challenges of managing diverse teams, offering a path forward for effective team leadership in product development. Keywords: Cross-functional teams, Leadership models, Product development efficiency, Innovation outcomes.

Use of Ticketing System in Freelancing Platform to Maintaining Client Trust in Product Development Process

Micro, small, and medium enterprises (MSMEs) are considered to be one of the important components in the economic development of a country, especially Indonesia. However, it has been found that MSMEs are lagging in digitalization, the adoption of information technology, and digital marketing. An information system where MSMEs can have easy access to IT and digital marketing professionals can be a solution to boost and encourage digitalization among local MSMEs. Developing such an information system requires the project to be able to quickly adapt and change based on the user’s needs and current trends. This study proposes an incremental solution to building an accessible information system catered for MSMEs by incorporating the ADDIE model into the development cycle. To understand the feasibility of the system, several group meetings are arranged to demonstrate and try out the system’s capability to the target users. The results indicate that the system is generally able to fit the needs of MSMEs and is quite effective at connecting the MSESs to IT and Digital marketing resources and experts.

Impact of contextual factors on new product development process: evidence from a large company in Thailand

This research investigates the impacts of contextual factors, including organization-, project-, product-, and market-related factors, on New Product Development (NPD) process and explores how these factors shape the NPD process of the company within a specific context—a large-sized company in Thailand. By interviewing 11 managers from a large-sized company in Thailand, the findings reveal different impact of the contextual factors on the company’s NPD process. Based on these findings, we develop a practical NPD model to overcome company-specific challenges and, consequently, offer valuable insights to enhance the NPD process in similar contexts. Importantly, our findings suggest that innovative companies should strategically integrate the route-to-market for radical innovation into their NPD process because it enhances the customer perception of the innovation’s value before commercialization, leading to the success of NPD. Our empirical evidence fills the gaps in the literature regarding the practical configuration of NPD processes in developing countries as well as large-sized companies, acknowledging the variation in the NPD process that depends on contextual factors where innovation occurs. It also provides detailed insights beyond most existing studies that investigate correlation of factors with the NPD process and offers practical implications for management involved in the NPD process, emphasizing the need for contextual awareness in formulating effective NPD strategies.

A Systemic Approach to the Product Life Cycle for the Product Development Process in Agriculture

For a long time, a company’s Product Development Process (PDP) was seen as supporting the operations department, although PDP decisions and mistakes have a considerable impact on market performance. This is critical even in agriculture where bad habits and practices in the PDP can lead rural producers to great losses. Therefore, this research investigates the effect of the PDP on the market performance of rural products (bananas) in the southern region of Brazil, based on two analyses: (i) how sustainability practices support the PDP phases and (ii) how the phases of the Product Life Cycle Assessment (LCA) mediate sustainability practices and PDP phases. This study presents a quantitative analysis using Confirmatory Factor Analysis (CFA) and hierarchical ordinary least squares (OLS) regression of data obtained from a survey of 110 rural producers who directly participate in the banana production and planning process in southern Brazil. Our results show that sustainability practices support the PDP, and we confirm that the product development and post-development phase has an effect on market performance. In addition, we identify that in the pre-development phase of the PDP, dealing with rural products (bananas), the maturity stage of the LCA mediates sustainability. In the PDP development phase, we conclude that rural families who develop economic and environmental practices with their products, which are in the market growth phase may have reduced results. As for the post-development phase of the PDP, we conclude that when companies invest in environmental and social practices, there is a complete mediation of the effect, where these practices lose strength if the product is in the introductory and maturity phases in the market. In an original matter, our study contributes to demonstrating the value of the product life cycle for the Product Development Process in agriculture using sustainability practices through a systemic approach, filling the gap in the literature due to a lack of integrated research on these areas seen.

Development of Efficient and Scalable Production Process of Analytical Grade Sodium Chloride at Laboratory Scale

Development of Efficient and Scalable Production Process of Analytical Grade Sodium Chloride at Laboratory Scale

A Human–Machine Interaction Mechanism: Additive Manufacturing for Industry 5.0—Design and Management

Industry 5.0 is an emerging value-driven manufacturing model in which human–machine interface-oriented intelligent manufacturing is one of the core concepts. Based on the theoretical human–cyber–physical system (HCPS), a reference framework for human–machine collaborative additive manufacturing for Industry 5.0 is proposed. This framework establishes a three-level product–economy–ecology model and explains the basic concept of human–machine collaborative additive manufacturing by considering the intrinsic characteristics and functional evolution of additive manufacturing technology. Key enabling technologies for product development process design are discussed, including the Internet of Things (IoT), artificial intelligence (AI), digital twin (DT) technology, extended reality, and intelligent materials. Additionally, the typical applications of human–machine collaborative additive manufacturing in the product, economic, and ecological layers are discussed, including personalized product design, interactive manufacturing, human–machine interaction (HMI) technology for the process chain, collaborative design, distributed manufacturing, and energy conservation and emission reductions. By developing the theory of the HCPS, for the first time its core concepts, key technologies, and typical scenarios are systematically elaborated to promote the transformation of additive manufacturing towards the Industry 5.0 paradigm of human–machine collaboration and to better meet the personalized needs of users.

The Importance of the Product Development Process for Companies: A Bibliometric Analysis of the Stage-gate Model

The article aims to present a bibliometric study that sought to identify the profile of scientific articles in the Scopus database on the term Stage-gate, in the period from 2013 to September 2023, analysing how the evolution of the dissemination of international scientific studies for the area of product development. The research methodology is quantitative through bibliometrics that evaluates scientific metrics. The author who published the most was Robert Cooper with 12 documents, the journal that most addresses the term Stage-gate is Research Technology Management with nine documents and the keyword amiss cited is Stage-gate with 9% of the citations. The country that contributes the most and contributes to the Stage-gate method is the United States with 78 documents. In conclusion, the results presented highlight the relevance of this model, the contribution of different authors, the diversity of academic sources, and the global dispersion of this concept.

Green PLM: business goals-oriented algorithm assessing the greenness of a product in the new product development phase for the automotive industry

AbstractSustainability-oriented new product development process is becoming of key importance in many sectors of the industry. Especially in the automotive industry, it plays a major role as this sector is historically associated with resource-intensive production and fossil fuel consumption, and thus has to implement solutions that will contribute to restraint of climate change. Manufacturing companies are currently faced with the challenge of adapting their business models to changing market expectations and requirements resulting from the sustainable development path. Moreover, the development of the new digital factories and pressure from the legislators require adjustment of existing Product Lifecycle Management systems. To enhance the concept of the Green Product Lifecycle Management which is still under development, in this work we propose a new three-step methodology composed of three main steps: (1) assessing indicators’ importance for sustainable business goals and business models, (2) assessing indicators and their importance in the automotive industry, (3) assessing “greenness” of the product. This complex approach is innovative as it is based on the business-oriented perspective. Selecting suitable business goals and corresponding business models leads to the selection of the appropriate subset of green indicators. Several more aspects are taken into account in this holistic analysis: the indicator's features, relevance for the company, importance to sustainable business goals, importance in terms of subsectors of the automotive industry as well as environmental, economic, and social impact. This approach enables the company to compute the value of the greenness of the product in reference to the key green indicators.

Research and Application of the Simulation Method for Product Development Process Based on System Dynamics

Product development is a complex process involving intricate components, dynamics and constantly evolving internal and external environments, as well as numerous influencing factors. In order to accurately simulate and predict the effectiveness of the development process, this paper proposes a system dynamics simulation method based on information maturity. Different types of development processes are simulated, and the discussion includes the impact of activity information correlation, information evolution coefficient, start time, and other parameters on the dynamic behavior of the process. This study examines a specific mold development process as a case study to validate the method’s feasibility, accurately predicting the duration and cost of the process. It also investigates dynamic fluctuations resulting from uncertain events such as changes in customer demand and resource shortages. The method provides support for process optimization and resource scheduling.

Boosting business agility with additive digital molding: An Industry 5.0 approach to sustainable supply chains

This study explores the use of Additive Digital Molding, an Industry 5.0-driven approach, to improve business agility and sustainability within supply chains. By integrating digital reverse engineering, additive manufacturing, and plastic injection molding, this methodology streamlines product development processes, particularly for highly customized products in isolated environments. Additive Digital Molding provides cost-effective solutions for overcoming sourcing challenges, meeting customization requirements, and ensuring confidentiality. It also empowers SMEs and individuals to take greater control of their supply chains and foster entrepreneurial ventures. By enabling new business models such as direct manufacturing and home production, additive digital molding contributes to achieving the Sustainable Development Goals of the 2030 Agenda. This research highlights the transformative potential of Additive Digital Molding to drive innovation and sustainability across industries.

Valorization of Cashew Apple Waste into a Low-Alcohol, Healthy Drink Using a Co-Culture of Cyberlindnera rhodanensis DK and Lactobacillus pentosus A14-6.

This study investigated the potential of microbial fermentative transforming processes in valorizing the cashew apple by-product into a low-alcohol, health-benefiting beverage. We particularly investigated the use of a non-Saccharomyces yeast, Cyberlindnera rhodanensis DK, as the main targeted microbe. At 30 °C without agitation, C. rhodanensis DK caused changes in key parameters during the fermentation of cashew apple juice (CAJ) in terms of varied pH values and initial sugar concentrations. This result indicated that pure CAJ, with pH adjusted to 6 and with the original 6.85% (w/v) total sugar content, was the most feasible condition, as glucose and fructose were mostly consumed at 12 days of fermentation. A co-culture approach with either Saccharomyces cerevisiae TISTR 5088 or Lactobacillus pentosus A14-6 was investigated to improve both physicochemical and fermentation characteristics. Co-fermentation with S. cerevisiae TISTR 5088 resulted in significantly increased ethanol accumulation to 33.61 ± 0.11 g/L, but diminished bioactive compounds, antioxidant activity, and antidiabetic potential. In contrast, co-fermentation with L. pentosus A14-6 demonstrated excellent outcomes, as it significantly increased sugar consumption and finally remained at only 4.95 g/L compared to C. rhodanensis DK alone, produced lower levels of ethanol at only 19.47 ± 0.06 g/L, and higher total titratable acid (TTA), resulting in a final pH of 3.6. In addition, co-fermentation with this lactic acid bacterium significantly enhanced bioactive compounds and antioxidant activity and also retained potential antidiabetic properties. These findings highlight the feasibility of using tailored microbial fermentation strategies to produce low-alcohol beverages with enhanced health-promoting properties from CAJ; however, product-development processes following health food regulations and sensory evaluation are necessary.

Construction of design requirements knowledgebase from unstructured design guidelines using natural language processing

In the manufacturing industry, unstructured documents such as design guidelines, regulatory documents, and failure cases are essential for product development. However, due to the large volume and frequent revisions of these documents, designers often find it difficult to keep up to date with the latest content. This study presents a method for analyzing the characteristics of unstructured design guidelines and automatically constructing a knowledgebase of design requirements from them. A knowledgebase is structured data that a computer can understand, and that can be used to assist designers in the design process. The knowledgebase is constructed using the sections of the document, including design variables and design requirements. The construction process involves pre-processing the documents, extracting information using natural language processing models, and generating a knowledgebase using predefined rules. A requirements knowledgebase was experimentally constructed from a standard document on the general requirements for the design of pressure vessels (American Society of Mechanical Engineers Section VIII Division 1) using the proposed method. In the experiment, the accuracy of information extraction was 86.3 %, and the generation process took 3 min and 50 s. Thus, the proposed method eliminates the need for specialized training of deep learning models and can be applied to various design guideline documents with simple modifications to the design vocabulary and rules. The knowledgebase has applications in design validation, and is expected to enhance the efficiency of the product development process and contribute to reducing the overall development timeline.

Enhancing agile product development with scrum methodologies: A detailed exploration of implementation practices and benefits

This study conducts a systematic literature review to examine the implementation, challenges, and ongoing evolution of Scrum methodologies within Agile product development frameworks. Aimed at understanding how Scrum can be effectively tailored to meet the needs of diverse organizational contexts, especially in scenarios involving remote and distributed teams, the research also seeks to uncover the trajectory of Agile practices' continuous evolution. Employing a rigorous methodology, the review analyzed peer-reviewed articles and conference papers from key academic databases, including IEEE Xplore, ACM Digital Library, and Scopus, published between 2013 and 2024. The selection was based on relevance to Scrum practices, empirical evidence, and theoretical contributions to the field of Agile development. Key insights from the study underscore the critical role of Scrum in enhancing collaboration, flexibility, and responsiveness in product development processes. Challenges identified include the necessity of overcoming organizational resistance and the importance of customizing Scrum practices to align with specific project and team dynamics. Notably, the research highlights Scrum's adaptability in supporting distributed teams through strategic communication and trust-building measures. Furthermore, the study points to the integration of Scrum with DevOps and its application beyond software development as indicators of its evolutionary potential within Agile methodologies. Finally, the study offers strategic recommendations for organizations adopting Scrum, emphasizing cultural adaptation, continuous training, and practice customization. It also suggests avenues for future research, particularly in exploring Scrum's integration with emerging technologies and broader industry applications, contributing valuable insights into enhancing Agile product development efficacy through Scrum methodologies. Keywords: Scrum Methodologies, Agile Product Development, Distributed Teams, Continuous Evolution.

Statistical Experimental Designs for cLTB-Syn Vaccine Production Using Daucus carota Cell Suspension Cultures.

The carrot-made LTB-Syn antigen (cLTB-Syn) is a vaccine candidate against synucleinopathies based on carrot cells expressing the target antigen LTB and syn epitopes. Therefore, the development of an efficient production process is required with media culture optimization to increase the production yields as the main goal. In this study, the effect of two nitrogen sources (urea and glutamate) on callus cultures producing cLTB-Syn was studied, observing that the addition of 17 mM urea to MS medium favored the biomass yield. To optimize the MS media composition, the influence of seven medium components on biomass and cLTB-Syn production was first evaluated by a Plackett-Burman design (PBD). Then, three factors were further analyzed using a central composite design (CCD) and response surface methodology (RSM). The results showed a 1.2-fold improvement in biomass, and a 4.5-fold improvement in cLTB-Syn production was achieved at the shake-flask scale. At the bioreactor scale, there was a 1.5-fold increase in biomass and a 2.8-fold increase in cLTB-Syn yield compared with the standard MS medium. Moreover, the cLTB-Syn vaccine induced humoral responses in BALB/c mice subjected to either oral or subcutaneous immunization. Therefore, cLTB-Syn is a promising vaccine candidate that will aid in developing immunotherapeutic strategies to combat PD and other neurodegenerative diseases without the need for cold storage, making it a financially viable option for massive immunization.

Product development process for a new healthcare service in the Industry 4.0 context: an action research approach

Precision Medicine (PM) is a personalised approach that uses genetic, environmental, and lifestyle information to prevent, diagnose, and treat disease more effectively. This study aims to explore how Industry 4.0 technologies can enable the development of a new healthcare product, specifically a new PM service. Action Research has been used to identify the needs and orient the design and development of a technological platform that enables PM to be applied in healthcare institutions. This methodology can also act as a guide for advancing research and making the service a regular clinical practice. This research furthers understanding of how I4.0 technologies enable the generation of specific capabilities and their use to create other innovative healthcare products, in general, and PM products, in particular. Study findings offer practical and governmental implications and can serve as the basis for digital platform design and development to facilitate PM practices in healthcare institutions.

An Empirical Analysis of New Product Development Success Among Automotive Industry Vendors in Malaysia

New product development in the automotive industry necessitates significant upfront investment, given the uncertainty of a product's competitiveness upon market launch. Hence, industries strive to comprehend and evaluate crucial success factors during implementation phases. This paper delves into the findings of an empirical qualitative analysis study on the success of New Product Development (NPD) in order to provide deeper insights into these success factors. The study delineates three primary dimensions: IT capability, new product development process, and new product development strategy. Conducted within the Malaysian automotive industry, the empirical results affirm the criticality of these factors to success.

Enhancing knowledge management in the engineering design process through a communication platform

AbstractIn today's competitive market, design firms are under pressure to enhance the speed of their decision-making processes to foster innovative products. Due to specialized nature of contemporary technology, enterprises are directed to consider Design for X factors during the product development process like environmental impact and production efficiency. This transformation leads to an increase in gaining knowledge from different fields. This paper presents a comprehensive framework for efficiently acquiring and applying knowledge, aimed at improving knowledge management and sharing practices.