The Trade-off Between Efficiency and Learning in Interorganizational Relationships for Product Development

2001 ◽  
Vol 47 (4) ◽  
pp. 493-511 ◽  
Author(s):  
Maurizio Sobrero ◽  
Edward B. Roberts
2018 ◽  
Vol 221 ◽  
pp. 02003
Author(s):  
Wei Wang ◽  
Yuan Li ◽  
Qi Zhang ◽  
Weijia Feng ◽  
Huichao Liu ◽  
...  

Modern product needs to meet the reliability requirements during the development process. The reliability in this paper refers to an integral view of a product’s reliability, maintainability, supportability, testability, safety and environmental adaptability. However, during the product development process, the two problems are how to evaluate the implementation and how to determine the work input costs of reliability. This paper proposes a method to evaluate the degree of reliability implementation. And it researches the schemes and targets decision-making method based on trade-off analysis. Through establishing and solving trade-off optimization model, the results can help decision makers find the optimal parameters program and cost goals.


Author(s):  
Muyo Tai ◽  
Keita Ishida ◽  
Kazuya Oizumi ◽  
Kazuhiro Aoyama

This paper proposes a method to resolve trade-off problems between functionalities, which hinders unconventional improvement of a product. As products have become increasingly complex, it becomes difficult to grasp the whole aspects of a product. In order to resolve trade-off problems of a complex product, it is required to model the product in an appropriate form and to gather knowledge of experts in each domain. Although there have been several models to tackle with this issue, modelling still poses difficulties due to lack of clear guideline. This paper classified models into three types: function-based, cognition-based and physics-based. Then, their roles and description guidelines are clarified. As a function-based model depicts functionality of a product in a rather simple description, it is employed to specify significant tradeoffs. A cognition-based model depicts the designers’ recognition of physical phenomena while a physics-based model rigorously depicts the physical phenomena. A cognition-based model is appropriate for ideation while physics-based model contributes to objectivity of a model. This paper proposes complimentary modelling and use of cognition-based and physics-based models. To support ideation of solution to the trade-offs, TRIZ is applied. The proposed method is demonstrated and validated by the case study of Continuously Variable Transmission.


2017 ◽  
Vol 12 (Number 1) ◽  
pp. 32-42
Author(s):  
Mohamad Faizal Ahmad Zaidi

Organizational ambidexterity refers to the firm’s capacity to simultaneously exploit existing product offerings with familiar knowledge, and explore new product opportunities with unfamiliar knowledge. Due to this definition, ambidexterity has been commonly studied at inter-new product development (NPD) level. As such, studies at the intra-NPD (in a single NPD) are still rare. Although both exploitative and explorative are critical capabilities for NPDs, with limited resources at hands, most firms will have to do a trade-off between them. As a result, while some firms preferred exploitative NPD, some others have adventured into explorative NPD. Therefore, a single NPDproject is the feasible option to most firms at any one time. Although quality is the focus inexploitative NPD, while innovation is the emphasisinexplorative NPD, both are imperative to any types of NPD. Thus, it was suggested firm that is capable of creating balance between quality and innovation in a single NPDwill be more successful than the others at sustaining competitive advantage. However, creating a balance between quality and innovationin a single NPDis a challenging effort. As a result, this article proposed a quality-innovation (Q-I) matrix to demonstrate the concept of organizational ambidexterity for creating balance between quality and innovation in a single NPD. The Q-I matrix will enhance our understanding on the concept of organizational ambidexterity at intra-NPD level, which is still rarely studied in contrast to the inter-NPD level of analysis.


Author(s):  
Kazuya Oizumi ◽  
Keita Ishida ◽  
Muyo Tai ◽  
Kazuhiro Aoyama

This research study proposes a method to resolve issues with trade-offs between functionalities, which hinder the unconventional improvement of a product. As products have become increasingly complex, it has become difficult to grasp all the aspects of a product. To resolve the problematic trade-off issues of a complex product, it is necessary to model the product in an appropriate form and to gather knowledge from experts in each domain. Although there have been several models to tackle this issue, modeling still poses difficulties due to a lack of clear guidelines. This paper classifies models into three types: function-based, cognition-based, and physics-based models. Next, their roles and description guidelines are clarified. As a function-based model depicts the functionality of a product in a rather simple description, it is employed to specify significant trade-offs. A cognition-based model depicts the designers' recognition of physical phenomena, whereas a physics-based model rigorously depicts the physical phenomena. A cognition-based model is appropriate for ideation, while the physics-based model contributes to the objectivity of a model. This study proposes a strategy of complementary modeling and the use of cognition-and physics-based models. To support the ideation of a solution to the trade-offs, the theory of inventive problem solving (TRIZ) is applied. The proposed method is validated by a case study of continuously variable transmissions (CVT).


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zehra Canan Araci ◽  
Ahmed Al-Ashaab ◽  
Cesar Garcia Almeida

Purpose This paper aims to present a process to generate physics-based trade-off curves (ToCs) to facilitate lean product development processes by enabling two key activities of set-based concurrent engineering (SBCE) process model that are comparing alternative design solutions and narrowing down the design set. The developed process of generating physics-based ToCs has been demonstrated via an industrial case study which is a research project. Design/methodology/approach The adapted research approach for this paper consists of three phases: a review of the related literature, developing the process of generating physics-based ToCs in the concept of lean product development, implementing the developed process in an industrial case study for validation through the SBCE process model. Findings Findings of this application showed that physics-based ToC is an effective tool to enable SBCE activities, as well as to save time and provide the required knowledge environment for the designers to support their decision-making. Practical implications Authors expect that this paper will guide companies, which are implementing SBCE processes throughout their lean product development journey. Physics-based ToCs will facilitate accurate decision-making in comparing and narrowing down the design-set through the provision of the right knowledge environment. Originality/value SBCE is a useful approach to develop a new product. It is essential to provide the right knowledge environment in a quick and visual manner which has been addressed by demonstrating physics knowledge in ToCs. Therefore, a systematic process has been developed and presented in this paper. The research found that physics-based ToCs could help to identify different physics characteristics of the product in the form of design parameters and visualise in a single graph for all stakeholders to understand without a need for an extensive engineering background and for designers to make a decision faster.


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