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The purpose of this paper is to implement the modeling of the design process in response to volatile market demands. It mainly focuses on design activities for product development towards the early stage.

This paper describes the system of products from the systems engineering point of view, analyzes the attributes of products and components, studies the environment and its input/output relationship and implements product formal representation, respectively. This paper gives product structure and component connections, describes the process of structure generations and product decomposition by set representation, calculates the number of component connections and density of components; also it presents product module division and coupling degree analysis in accordance with axiomatic theory; coupling degree is calculated by considering the correspondence ratio and the cluster independence.

It describes the product as an engineering system, and analyzes product systems and product structures through using systems theory. Design process modeling is analyzed, and a strategic approach to decomposing product structure and calculating modularity is adopted for product development.

Accessibility and availability mainly focus on product system development.

The paper offers useful advice for the modeling process of product conceptual design.

The new approach to conceptual design is based on set representation and systems analysis as well as axiomatic theory. The paper is aimed at understanding evolution mechanism of complexity product systems.

This paper provides the strategic direction and coordination mechanism selection for the intelligent transformation of manufacturing enterprises.

A theoretical framework is developed through grounded theory and case analysis.

Collaboration value is the building block of the intelligent product ecosystem. The ecosystem is upgraded via a path of product coordination, platform coordination and network coordination.

This paper provides a framework for enterprises to build an intelligent product ecosystem.

The proposed intelligent product ecosystem framework is new to the literature and lays down a fruitful avenue for future research.

The purpose of this paper is to concern the community festival of a Jing minority village in the China–Vietnam border area. Since it was designated as a national-level Intangible Cultural Heritage in 2006, the festival has undergone many changes. The festival has steadily expanded and evolved, assuming characteristics of globalization. How is the globalized character of the Wanwei festival manifested? What are the forces behind the elevation of this local festival onto the register of national events and how did it turn into an event organized by the township?

The paper is based on the results of the author’s research on the culture of Kinh people in Wanwei from 2000 to the present. From the anthropological approach, the author mainly uses method of participant observation and in-depth interviews. The author has observed the Wanwei communal festival from 2000 to the present, interviewing about 40 villagers in Wanwei in depth, they can be leaders, intellectuals, civil servants, officials or working people.

The paper is a case study of the new aspect of globalization of a village festival. The author argues that globalization can lead to a spread of global flows but in this process of globalization, villagers also want to define the local identity, they reinvent the tradition, rewrite history, create new nuances for the gods with many different purposes. Practicing the current Wanwei village festival is a vivid example of globalization from below and the politics of tradition.

The paper adds a theoretical dimension to current globalization research. The paper also points out the political, economic and social dynamics that govern the transformation of a village festival in particular and the village culture in general in the border areas. The paper is a testament to the dynamism and flexibility of villagers when participating in the current globalization process.

The purpose of this study is to propose an unbiased generalized grey relational closeness evaluation model to improve the accuracy of regional agricultural drought vulnerability decision-making results, as well as to provide theoretical support for reducing agricultural drought risk and losses.

The index weight is calculated using a rough set and deviation minimization criterion, and the relational degree between the research object and the double reference sequence is thoroughly investigated using the generalized grey relational closeness degree. Because different index rankings can correspond to different closeness degrees, the Monte Carlo method was used to calculate an unbiased estimate of the generalized grey relational closeness degree, which was used as a decision basis.

Agricultural drought vulnerability in Henan Province in 2019 was clearly spatially differentiated. The vulnerability to agricultural drought in the southern and eastern regions was generally higher than that in other regions. The evaluation results of this model are highly stable and reliable compared to those of the traditional generalized grey relational evaluation model.

This study proposes an evaluation model based on an unbiased generalized grey relational closeness degree, which is important to supplement the grey relational analysis method system and plays a positive role in promoting the quantitative evaluation of regional agricultural drought vulnerability.

The Monte Carlo method is used to calculate the unbiased estimation of the generalized grey relational closeness degree, which solves the problem of the replacement dependence of the traditional generalized grey relational degree and the one-sidedness of the evaluation results, and provides a new research idea for the evaluation of regional agricultural drought vulnerability under cross-sectional informatics.