Product Design - Science topic

Dear Dr. Dariusz Prokopowicz

Thank you for sharing your valuable reflections on the transformative role of generative AI in visual content creation and its impacts on the marketing and film industries. I completely agree with your assessment that while AI offers tremendous benefits in enhancing efficiency and creativity, it also brings challenges, particularly regarding the ethical concerns around misinformation and deepfake content.

Your insights on balancing automation with human creativity are particularly relevant, as this relationship is indeed reshaping traditional practices in film production. I find it fascinating how thought leaders like Lev Manovich and Toby Walsh are framing AI as a "collaborator" that supports, rather than replaces, human expression—a perspective I am equally passionate about exploring further.

Thank you for your kind invitation to collaborate. I would be delighted to discuss possible avenues for joint research on the opportunities and regulatory considerations for AI in creative industries. Your article, "Opportunities and Threats to the Development of Artificial Intelligence Applications," sounds compelling, and I look forward to reviewing it to better understand your perspectives on this essential topic.

Warm regards, Riham Hilal riham.hilal@ejust.edu.eg

In my opinion, if the information about the CO2 emitted during the production of products was placed on product packaging, consumers would make more environmentally and climate-conscious consumer choices when making purchases.

To support my thesis, I give the results of my research in the following publication:

What do you think about this?

What is your opinion on this topic?

Greetings

Dariusz Prokopowicz

Goods cost calculation and service cost calculation are essential aspects of financial management for businesses. Both involve determining the expenses associated with the production or provision of products or services, but they differ significantly in their calculation methods due to the distinctive nature of what they entail.

Goods cost calculation primarily revolves around the production and sale of tangible products. The key components of calculating the cost of goods include raw materials, direct labor, and manufacturing overhead. These costs are typically categorized into direct and indirect costs, with direct costs directly attributable to the production of a specific product, while indirect costs are allocated to all products based on predetermined methods.

Moreover, goods cost calculations consider inventory management, including the cost of goods sold (COGS), which accounts for the cost of products that have been sold during a specific period. Various accounting methods like specific identification, First-In, First-Out (FIFO), or Last-In, First-Out (LIFO) impact how costs are assigned to inventory and, subsequently, to COGS.

In contrast, service cost calculation is focused on intangible offerings, such as professional services, consultancy, or labor-based services. The primary cost components for services are labor costs, which encompass wages, salaries, benefits, and other compensation for employees providing the service. Overhead costs, like office rent, utilities, and administrative expenses, are also considered.

Similar to goods, service costs include both direct and indirect costs, with direct costs directly linked to delivering a particular service, while indirect costs support the overall service operation. Pricing structures for services can vary, including hourly rates, flat fees, or customized pricing models based on market demand.

In summary, the key similarities between goods and service cost calculations lie in their division into direct and indirect costs. However, their differences are pronounced in the nature of these costs and the methods of calculation. Goods cost calculations are influenced by inventory management and specific accounting methods, while service cost calculations are more reliant on labor and overhead costs, often with variable pricing structures. Understanding these distinctions is crucial for effective cost management and pricing strategies in diverse business sectors.

Volodrone for crop spraying?

Use of Artificial Intelligence or Machine Learning and data science to determine the best location to grow crops?

Internet of Things technologies to automate irrigation?

Agrobots for weeding and crop harvesting?

Please which one do you feel shall be mass-produced and marketed in the next 5 years?

Saludos, yo me dedico al estudio del aprovechamiento u optimización del tiempo que se asigna al diseño de ciertos inmuebles de franquicias para marcas originales pero metropolitanas. Desde esta perspectiva puedo señalar que el costo de un proyecto edilicio depende de lo que indique el tabulador o arancel de precios. Quizás los otros aspectos de la pregunta pudieran responderse al encontrar sus respectivos aranceles.

Survey is definitely the answer but if the customers are uncomfortable providing a social media page or website platform for review and recommendation might also be fruitful.

Dear all, following are samples of books written on conductive polymers. My Regards

Conducting Polymers, Fundamentals and Applications: Including Carbon Nanotubes and Graphene. Prasanna Chandrasekhar (auth.), 2018

Handbook of Conducting Polymers. Terje A. Skotheim, 1998

Handbook of conducting polymers. Conjugated polymers: theory, synthesis, properties, and characterization. Skotheim, Terje A., Reynolds, John R., 2007

Electrically Conductive Polymers and Polymer Composites: From Synthesis to Biomedical Applications. Khan, Anish (ed.), 2018

Conducting Polymers: Synthesis, Properties and Applications. Luiz Carlos Pimentel Almeida, 2013

Conducting Polymer Nanocomposites for Supercapacitors. Subhash B. Kondawar, 2015

Conducting Polymers: A New Era in Electrochemistry. György Inzelt (auth.), 2012

Conductive Electroactive Polymers. Gordon G. Wallace, Peter R. Teasdale, Geoffrey M. Spinks, Leon A. P. Kane-Maguire, 2008

Conducting Polymers. Faris Yilmaz, 2016

Nanostructured Conductive Polymers. Ali Eftekhari, 2010

A major key is to understand basic electronic fundamentals. This would provide a foundation for new products.

The YouTube video clips about electronics, labeled NDAcademy, provide that foundation.

The website "Electronics.FoxPing.com" provides links to those YouTube video clips.

Beatriz Lopo Teixeira Muchas gracias!!

You might find it interesting to try formulating two-stage anaerobic digestion process for enhancing biogas productivity. You might follow the attached article for the progress in two-stage anaerobic digestion process.

There is always a problem with getting a wider and deeper understanding of the filed where we work, it takes decades to reach a reasonable overview. Hence, it is always good to dedicate some time to study neighboring or completely distant research areas that are related to the problem under the consideration. It often brings new insights and inspiration.

Complex systems are studying the types of problems you are mentioning in all scientific disciplines, including the biology and medicine. It would be good to read the following review:

https://www.researchgate.net/project/Complex-Systems-in-Physics-Biology-and-Medicine-Backgrounds-Understanding-Modeling-and-Software/update/6186589fb3729f0f619156ed

and other research shared there. Please, remember the term bio-inspired computing, self-organization, emergent behavior, self-repair, robustness, self-healing, self-replication, and similar terms. This all is researched within the scope of complex systems: computationally and theoretically.

I had written with co-authors one review on Complexity in biology and medicine, it might serve as another starting review in your search:

https://www.researchgate.net/publication/330546521_Complex_Systems_and_Their_Use_in_Medicine_Concepts_Methods_and_Bio-Medical_Applications

In recent time, in this and other mine projects occurred links to books, software, and research on robustness in biocomputing. Complex system project dealing with Medicine focuses mainly on experimental evidence of complexity phenomena.

Robustness should be understood in the following way, you have a computing medium that has high error rate (percents), yet the computation continue on without disruption. This approach can revolutionaries theory of computation in highly challenging and hardware damaging environments! Like in the space where computer chips get hit by high energy particles.

The perspective is different. Topology optimization is aimed at optimization while generative design more at conceptualization, when different forms are explored

Kindly visit..

Leaders 2 TimeSuccession_TermLimitsGoldenP_J,AppS0cSci_Publihsed 21.9.2019

I am sorry that I am also offering a rather critical comment concerning the project itself instead of recommending the tools you asked for.

Heart rate will vary with the degree of arousal, but emotion space is three-dimensional. Therefore, you will fail in distinguishing between emotions that vary on the other dimensions, especially between good and bad emotions. What is more, the emotions need to be fairly extreme to show up in the heartrate. A high heartrate can occur with joy or with fear, and a low heartrate can appear with sadness as well as with silent contentedness, as we all know from experience.

Ever since the idea of emotional computing has come up, people have tried to infer emotions from physiological or behavioural parameters (e.g. facial expressions) or both. No viable solution has ever been demonstrated in all these years, even if skin conductance, respiration or whatever has been included in the measurements. So better forget the whole idea.

Maybe this could help:

It is certain that improving the external appearance of any product is aimed at attracting the consumer, achieving more sales and achieving financial profit for the company.

Circular design, sustainable design, environmental design and design thinking evolve from looking at a process of design and relating it to our lives.

Before this our focus was on the object regardless of how it contributed to our lives. For me its not of question of how does it include criteria for design and manufacturing but rather my assumption that is inherent in it.

In the US we've gradually made more people aware of the goals by adding the concept to our advertising. In essence trying to make "circular design" et al an individual and cultural aspiration. The strain on all our resources during Covid has made this more evident.

I add three links for further information. But in my experience the last one, IDEO is the very best.

1)__ THE CIRCULAR ECONOMY, THE NEXT BIG THING IN DESIGN

2)__ Circular Design Guide

3)__ IDEO Design

and about IDEO at

Hi

The selling of a product largely depends on the quality of the product since the consumer does not buy the product rather he buys the product for its quality attributes. Therefore, you can follow the two following articles for information on product quality:

1. Caswell, J. A., Noelke, C. M., & Mojduszka, E. M. (2002). Unifying two frameworks for analyzing quality and quality assurance for food products. In Global food trade and consumer demand for quality (pp. 43-61). Springer, Boston, MA.

2. Caswell, J. A. (2006). Quality assurance, information tracking, and consumer labeling. Marine pollution bulletin, 53(10-12), 650-656.

You can also follow one of my articles is accepted for publication online buying behavior of clothing products for online retailing. It will be published very soon. You can knock then at hossainafjal@gmail.com

Hello Bin Bai,

I am not able to comprehend fully as to what you want to do.

Firstly PDCA is not a fixed loop 'process' because the next improvement cycle always takes it further to the next loop.

I have intentionally called it a "PROCESS".

There is, to the best of my knowledge, no other 'creative model based on PDCA in quality control in the manufacturing industry'.

This, PDCA is a continual model.

You may take sometime to explain what you want to do. Once, the objective is clear, the answer can be given and explained.

All the best.

virendra

What do you want, at least, select a field and what do you trust so that we can provide you with assistance according to a desired field

Give us examples

best regards

I would recommend checking out this free ebook by Michal Nielson. It is a great guide when getting started with AI:

Cheers, Raoul

I made a review about TRIZ theory using industrial case studies:

Spreafico, C., & Russo, D. (2016). TRIZ industrial case studies: a critical survey. Procedia Cirp, 39, 51-56.

Dr. Karagyozova,

In case of interested in philosophical aspects, I would consider metaphysical (consciousness, awareness, teleology, intangibles), ontological (things, phenomena, attributes, relations), epistemological (believes, knowledge, context, power), methodological (theoretical underpinning, processes, methods, means), and praxiological (roles, criteria, frameworks, organization, results) aspects. Axiology might also be considered.

Best regards,

I.H.

Modern engineering design education today relying primarily on the project-based coursed, performed by the group of students. For a reason. It is almost impossible to imagine a relevant industrial task implemented by one (even skilled) individual. It's simply not a real-life scenario.

Sebastian Eberle and Emir Nezirić

this worked with one error and resolved it using the below link (misc were turned off in my case)..

Total load applied was 16Kgs..which can be ~160N.

Sum of the reaction forces in Y direction is 163 N.

So, i assumed it as the weight of the top plate and gravity are added.

But, i am in doubt that - i am applying loads as uniformly distributed load and the model and supports are symmetry. The loads are applied downwards (-y).

The reaction forces are not coming in pure -y. It is splitting up for x, y and z directions (image attached for reference)

What could be the reason. Any suggestions please...

Sebastian Kuschmitz completed the questionnaire, all the best to you with your research.

Best Regards

Martin

No, This will create more overproduction.

Hi There Leandro,

I am curruntly implementing lean manufacturing systems and tools. I have found that one fo the biggest challeneges is adherence to the lean systems and tools.

I have overcome this through effective communication and by implementing recognition process. This shows everyone how well they are doing against over areas and identifies the areas performing the best.

Regards

Martin

Yes. It will be a virtual conference

Dear Samy

Please submit the full paper by the 15th March.

Looking forward to seeing your submission

Clarice

Snehal Nagarsheth thank you, will read up about it!

Dear Morris,

Hello

The question which has been inquired by you is, in fact, an important and also interesting question in field of “Design for Changeability” in discipline of systems engineering.

Dear , it is important to note that your concerned question actually encompasses a lot of sub-questions including design for “Adaptability”, “flexibility”, “reconfigurability”, “reliability/robustness”, and so forth. In addition, “propagation of change into the system due to change of one or more component(s) of the system under study. Moreover, in this regard, quantitative measurement of change in the system is another interesting and relevant issue.

As a useful suggestion to address and deal with the above challenges in system design, you could have a comprehensive study in both Axiomatic Design (AD) theory (especially, the information axiom of this theory to compute information content of a design to satisfy the system requirements) and “Design Structure Matrix (DSM) (especially, for the aim of studying the role of dependencies and/or interaction between any interest pair of system elements).

I think that the article attached to this reply could be a useful step to begin.

Hope the above helps!

Good luck!

Ali

In reply to your questions:

1. http://www.iccsa.org/

2. http://www.iccsa.org/workshops

3. I dont really understand your question, sorry. This workshop is specifically about decision making models involving simulations for: planning, urban design, urban infrastructure and transport, building design and product design.

I hope this helps

Dear Karan,

There are two types of bioresin: degradable and compostable. Degradable bioresins can continually be broken down into smaller and smaller pieces—they are different from biogradable resins, because they cannot be reduced to simple biological matter. Compostable resins can be used as mulch after being mixed with specific bio products at a composting plant.

Please look at the paper

Cashew nut shell liquid-derived -Bio-based epoxy resin toughening with cashew nut shell liquid-derived resin resin(file:///C:/Users/3020/Cookies/Desktop/Downloads/GrMAT_2015.pdf), in this paper is nut shell- bio and liquid ester is a resin missed to form a bio resin.

Hope it help you out.

Ashish

Dear Colleagues.

I have just found another example of how the not-predetermined analysis provides results=categories that we know from earlier (Vargo & Lush) publications.

Look at this:

Kaartemo V, Helkkula A (2018): "The thematic analysis of the papers shows four themes that describe the content of the studies, namely, generic field advancement, supporting service providers, enabling resource integration between service providers and beneficiaries, and supporting beneficiaries’ well-being (...). These themes were not predetermined as they emerged from the reviewed articles inductively."

My comment: the themes obtained inductively are equal to the categories of the previously published (Vargo&Lush) theory. It looks like recognition (aided-recall) of ready categories in the texts. What do you think about it? Maybe you have different interpretations of what we see here?

Kaartemo V, Helkkula A (2018) A Systematic Review of Artificial Intelligence and Robots in Value Co-creation: Current Status and Future Research Avenues. Journal of Creating Value 4(2) 211–228

In mop, yes if algorithm has captured all possible scenario expected at design level, which is very very complex.

Don't expect out of box creativity since that cannot be calculated and predicted. Many technologies are on the way to empower machines to think much beyond

normal human can do. Its hypothesis based on some facts and LOL.

Hi Maryam,

It depends on the type of packaging component being designed (material, manufacturing process, printing method, etc.) and the development phase (early concepts, refinement, control documentation, etc.). For example:

- Rhinoceros (for concept exploration and dielines)

- SolidWorks, Catia, Inventor (for assemblies and part design refinement)

- KeyShot (for rendering)

- Esko Suite

- ArtiosCAD (for dielines)

- Studio (for rendering)

- CAPE (for palletization, truck load, etc)

- Adobe CC (Illustrator, Photoshop) (for artwork and mapping)

You can choose the journal according to your work from the below links

https://journalsuggester.springer.com/

Design fixation is intrinsic to the designer's personality, capabilities, propensities, etc. and is independent of the immediate and present external world. All tools at some point become limited (and limiting) and they are eventually extended by the demands of those designers who are not anchored by them in their design creativity. In contrast to the "tool extenders" others may be trapped by comfort and success in using a specific tool, and often channel their creative trajectory by what the tool affords them. For example, following Koen Van Turnhout's example, most instructors in product design challenge students to keep sketching with the assumption that sketching is less limiting then CAD, at least in the morphological aspects. It is not always the case, but mostly true, at least with students at earlier stages. Same with Arduino, Fritzing may be more liberating, but then at some point someone will run out of canvas there and will need to extend to another tool (e.g. VHDL equivalent).

Thank you Mohamed-Mourad Lafifi! These are very helpful suggestions and none of them are in my current dataset.

I am not sure if a "smart" tool is all that easy. No matter how "smart" the tool is, it adds a layer of abstraction and standardization. This also means that it costs researchers degrees of freedom. If the tool is proprietary, these lost degrees of freedom may not even be transparent.

In my view, the trend actually goes away from abstract solutions and towards a more and more involved form of statistical analyses. One of the reasons that R and Python are so popular currently is that they force researchers to make detailed, transparent, and informed decisions about all aspects of data analysis. This is a conscious move away from packaged such as SPSS who make choices for the researchers.

More in general, you should consider that any "smart" analytical tool is a lense through which we see reality. If you are not very careful, "smart" may easily come to mean "biased".

Personally, I would think that the best trade-off would be to build "smart" solutions atop existing packages (such as R or Python). The smart solution then has to be perfectly transparent and ideally it should offer a smooth transition from automated analyses to manual, hands-on analyses.

Hello Mr Hany M. El-Said ,

it would be interresting for me to join your research as I am kind of excited to explore more about product design on the basis of design thinking approach. we may have a further discussion in order to do brainstorming, kindly contact me through this email adress ahmad.zarqan16@gmail.com or skype ; ahmed.zarqan

I am looking forward to hearing from you soon

Best regards,

Thanks

I had an uncompleted manuscript, no one desire to cooperate.

Hi Cemal,

if you want to go away from ecological unfriendly materials, why don't you use only algea / seaweed. Consistancy (and color?)will certainly change in the process (if you dry it) but those changes are part of nature and part of the algea. Maybe you can try to use those changes in your Project instead of avoiding them?

Best regards,

Patrick

In the field of Product Development and Project Management (where I work), descriptive models should be as the name implies: A "model" that tries to "describe" with a certain accuracy a given phenomenon.

As such, IMHO, it should be tested against:

1- The related acceptable and proved concepts in the body of knowledge

2- The practice. In this case it should be understood as "a reasonable description of the phenomenon " by a relevant group of practitioners. It could be done by interviews or by questionnaires.

and, if possible, tried out.

Claudiano

My dear friend,

My new book has published. It is about design

as you are in this field i hope you will like it

Please read it and share it with everyone. It is talking about prosumer also for the first time in this book we talk about magic and its power in product design. It is talking also about future of consumers .I request you put the link of book on your page and your school website for your students.

Name: Everyone Is a Designer

Author: Mohsen Jaafarnia

Publisher: MJ

Ghochan, 2017

In Persian, Chinese and English

Topic: Industrial Design

Jaafarnia, Mohsen (2017). Everyone Is Designer. Ghochan, Iran : MJ Publication. ISBN: 978-600-04-7870-4

Hi Fatima,

This is very interesting. However as a lecturer am I supposed to take part in this given my job and position.

Dear Dr. Rizaee,

One latest topic is designing (and implementation) of smart bridges (i.e. bridges that are actually cyber-physical systems with self-monitoring, self-regulation, self-resilience and self-tuning capabilities).

Kind regards,

Imre Horvath

For as long as resources are consumed and wastes are involved, then, there will be need for effective control whether in terms of the acquisition or in terms of the usage of the resource. Therefore, the issue of sustainability cannot be wished away in a hurry. The whole wide world has become a global village, hence the difficulty in framing ignorance of the challenges that are being or to be faced with by all especially from the perspective of the advancement in technology.which has brought about very serious need for more caution with respect to the way we deal with the ultimate outcome of the output of technological empowerment. This then brings about the issue of sustainability that we are going to contend with for a long time to come if the human race is to be more comfortable and live a quality life always hoped for by all. Hence, those in the behavioural and social sciences have a lot of work to do with a view to guaranteeing a better future for all no matter the race, gender, colour, age, location, religion, legal systems, etc.

perhaps here you will find the answer

You can ask the consumers following the innovation community approach.

In some applications, factor of safety to ultimate tensile strength can also be important. For e.g. a vessel containing toxic/hazardous chemical (or radioactive waste) designed to remain intact under accidental conditions. In other words, under predefined accidental scenarios the structure is allowed to plastically deform but must not break.

Dear Omar, 

See the article below, where you can find the answer: 

Methods  of measuring ideas for innovation

 < http://www.innovationmanagement.se/2014/10/23/methods-of-measuring-ideas-for-innovation/ >.

Attention with the Ideal Idea = 0,00 iur. 

Definetely,  I agree with the suggestions . Also you can see some examples of  interactive and supra-active research in the website of my lab. www.hitlabnz.org. 

Many factors influence the target cost of an engineering consumer product. One such influencing factors is an introduction timing into the consumer market. 

I have studies the influence of market timing on target costs. It is discussed in the following paper. Take a look...

Suppliers must work with their clients and vice versa to design the manufacturing processes, tooling, equipment, and systems needed to fit the production and plant limitations. They must be selected and involved early enough to participate in the design and other critical decision making process. By joining efforts with suppliers and partners, aimed at meeting the market needs or functions not yet served, everyone wins.

Take a look

Hi Pak Suef,

Not sure whether the following links works for you. Nakamori and Huynh are mathematicians, they have conducted some of mathematical model to evaluate users' experience. Their mathematical model based on SD method and Kansei Engineering.

Hope this helps...

Huynh, V. N., Yan, H., & Nakamori, Y. (2010). A target-based decision-making approach to consumer-oriented evaluation model for Japanese traditional crafts. Engineering Management, IEEE Transactions on, 57(4), 575-588.

Huynh, V. N., Yan, H., Ryoke, M., & Nakamori, Y. (2011). Fuzzy target-based multi-feature evaluation of traditional craft products. In Knowledge Science, Engineering and Management (pp. 331-342). Springer Berlin Heidelberg.

Huynh, V. N., Nakamori, Y., & Yan, H. (2010). A comparative study of target-based evaluation of traditional craft patterns using kansei data. In Knowledge Science, Engineering and Management (pp. 160-173). Springer Berlin Heidelberg.

Deny

quiet interesting question. I have come across self watering pots where the water consumed is lesser and the loss of soil is almost nil. woul like to follow this question.

many thanks

Dear Dr. Mahmoudi, If you intend to develop a novel methodology for emotional design in a systematic way, then I suggest you to consider that you need (i) a testable underpinning theory, (ii) a workflow of activities, (iii) a set of purposeful methods, (iv) supporting instrumentation, and (v) criteria of relevance/properness (shown in the figure below). However, I think emotional design is a rather broad concept. It may work in the (i) instrumentality (tasks the artifact helps accomplish), (ii) aesthetics (sensory reactions to the artifact), (iii) cognitive (compliance with personal preferences), and (iv) symbolic (associations the artifact elicits) dimensions. First of all, you need to specify a focus. There is no universal methodology to enable design for emotion over all of the above dimensions. On the other hand, there are already many specific methodologies (e.g. Kansei engineering, Experience-Driven Design, Cultural-Psychological Analysis, Dynamic Preference Maintenance, cultural probes, etc.) from which you may choose. They have been tested, while in the case of a new methodology you will be supposed to justify, validate and consolidate it. Kind regards, I.H.

Drop tower tests generally are onto a flat surface so offset and oblique crashes cannot be simulated.

Strategic partnership is one type of alignment, between product design developers (OEMs) and supply chain.  

However, there are many ways to accomplish such alignment deals. The stronger alignment between OEMs and supply chains, often, results in better quality and better functioning  products. 

Cost is often a major issue in such alignment scenarios.

Although not very recent, but there are 2 thesis on this that I can refer:

1. AN INQUIRY INTO PRODUCT DESIGN AND ADVERTISING

AS MEDIATORS OF CONSUMER IDENTITY (SELCEN ERGUN)

2. A SEMANTIC APPROACH TO THE RELATIONSHIP BETWEEN

BRAND IDENTITY AND EXTERIOR PRODUCT DESIGN

FOR VISUAL BRAND RECOGNITION,

THROUGH A CASE STUDY ON

LOCAL COMMERCIAL VEHICLE BRAND, TEMSA (ALİ ZENGİN)

Thank you so much Napoleon and Mark for the feedback. Really appreciate and it helps me a lot :D God bless...

Morphology is used in two ways: (1) as an analytical tool to investigate the composition of an existing product, and (2) as a creative and synthesizing tool for designing a new product. Designing has two major divisions: (a) for artistic designing, with emphasis on appearance and ergonomics, and (b) for engineering designing, with emphasis on the (internal and cross-boundary) workings of a technical product, ref Eder W.E. US-China Educational Review A, April 2013, Vol. 3, No. 4, p. 259-280. Prescriptive design methods are mainly applicable to synthesizing engineering products (2b), often include use of a morphological matrix, and are most useful for novel products, or when an intuitive approach does not yield a good solution, refs Eder, W.E. and Hosnedl, S., Design Engineering: A Manual for Enhanced Creativity, Boca Raton: CRC-Press, 2007, and Eder, W.E. and Hosnedl, S., Introduction to Design Engineering: Systematic Creativity and Management, Leiden, NL: CRC Press/Balkema, 2010. The working group around Vladimir Hubka has published 23 case examples of worked conceptual designing, each including an application of a morphological matrix for synthesizing an engineering product (2b), see ref Eder, W.E., ‘Case Example of Systematic Design Engineering – Linear Friction Test Equipment’, paper 1002, in Proc 3rd International Conference on Design Engineering and Science – ICDES 2014, Japan Society for Design Engineering, 31 Aug - 3 Sept 2014, Pilsen, Czech Republic.

Yes, Norris and Zwicky did pioneering work on this subject. Many others have contributed, but I think that our approach is the one based on scientific logic, and a (complete as possible) Theory of Technical Systems, ref Hubka and Eder, Theory of Technical Systems, Berlin/Heidelberg and New York: Springer-Verlag, 1988. Hope my comments help.

Hi Fatima. Excellent, it's an interesting subject. what's the focus of your research?

You may want to look to D’Arcy Wentworth Thompson (1860-1948) for inspiration

Dear Ilaria,

We have wrote a subsection on similar issues in my article (Singh et. al.) recently published in 'Waste Management and Research' The name of the subsection is "Increasing complexity of product composition and variety in the production and consumption systems". This subsection also contains some good references which be helpful for your question. 

In the same issue where our article was published, there was another article by Andreas Bartl which you also might find helpful. The links to both the articles are attached in this reply. 

All the best,

Jagdeep Singh

I agree in early 1990s, the success rate were pretty small. In the last 20 years, many new concepts were introduced for accelerating the product development process and its sustainability,

Those has improved both the development & launch success rates as well as profitability of the products once launched into market, I believe.. 

The following describes some of those techniques. Hope, you find it inteteresting

Try looking at BS7000.

Some Triz curses also teach how to apply the Triz methodology, in my view this is another name for case based reasoning.

Regards

Paul

The Ishikawa diagram is an important tool during the preparation of an uncertainty budget  in accordance with GUM; its proper use is described in the 2012 edition of the Eurachem document, often referred to as QUAM:

https://www.eurachem.org/index.php/publications/guides/quam