The Networked Manufacturing Resources Optimizing Configuration System and Its Partners Selection Method

The three levels optimizing strategy is put forward for the networked manufacturing resources optimizing configuration, namely, the optimizing of a logical manufacturing process, the optimizing of simulation-based integration of process planning and scheduling, and the optimizing of networked production scheduling. Then, the web services-based architecture of networked manufacturing resources optimizing configuration is brought forward. Finally, the key algorithm of the networked manufacturing resources optimizing configuration is discussed, namely, the two phases manufacturing partners selection method, which including the group technology-based manufacturing resources pre-configuration and the genetic algorithm-based executable manufacturing process optimizing.

Research on Partner Selection in Enterprise Innovation Ecosystem

In the face of fierce market competition,enterprises must ensure the competitiveness of their products or services through technological innovation.However,the complexity of technology often surpasses the capabilities of individual enterprises,leading them to deepen cooperation with other organizations.The entities within the enterprise innovation ecosystem depend on each other,collaborate closely,and rely on core enterprises to integrate resources,thereby creating system value and enhancing competitiveness.The purpose of this paper is to explore the process of selecting appropriate ecosystem partners.It begins by providing an overview of relevant concepts,characteristics,selection factors,and methods.Subsequently,it analyzes the roles,resources,and synergy evolution of the entities within the ecosystem.An evaluation system encompassing operation,core,synergy,and development capability is then established.This system comprises 16 indicators,including organization scale and reputation,and is accompanied by a hierarchical evaluation model.Finally,the validity of the evaluation system is confirmed through empirical analysis,utilizing the Analytic Hierarchy Process(AHP)and the fuzzy comprehensive evaluation method.

RESEARCH ON NEGOTIATION-BASED PARTNER SELECTION APPROACH

The key problem in the construction of virtual enterprises (VEs) is how toselect appropriate partners. The negotiation-based approach is proposed to support partner selectionin the construction of VEs. The negotiation model is discussed from three main aspectsrespectively, i.e., negotiation protocol, negotiation goal and negotiation decision-making model.And the generic mathematical description of the negotiation model is formally presented. Finally, asimple example is used to validate the approach's availability.

Partner Selection Analysis and System Development Based on Gray Relation Analysis for an Agile Virtual Enterprise

This paper analyzes the state of the art of partner selection and enumerates the advantage of partner selection based on gray relation analysis comparing to the other algorithms of the partner selection. Furthermore, partner selection system based on gray relation for an Agile Virtual Enterprise（AVE） is analyzed and designed based on the definition and characteristics of the AVE. According to J2EE mode, the architecture of the partner selection system is put forward and the system is developed t^ing JSP, EJB and SQL Server. The paper lays emphasis on a gray relational mathematic model, AVE evaluation infrastructure, a core algorithm of partner selection and a multi-layer gray relation selection process.

Gendered partner selection among overseas Chinese in the West and the motivations behind it

Studies up to now have shown the difference in partner/spouse selection between men and women of ethnic minority groups overseas but lack in-depth exploration of the reasons behind such selection.This study aims to fill the gap by exploring the different types of motivations that drive men and women of ethnic minorities to select their partners/spouses.Using quantitative and qualitative data,we compared partner/spouse selection dynamics and motivations among overseas Chinese men and women.Our study on Chinese people living in Belgium reveal significant gender differences in spouse selection between men and women,with more women likely to go in for intermarriage than men.In our interviews,we found that the underlying motivations for women’s preference for intermarriage lie in their fondness for Western family culture and their desire to make the host country their permanent home.We also found that in their partner-spouse selection,women were less influenced by social norms or pressure from parents and family,which are the main factors driving endogamy.Although the gender ratio in the marriage market is more or less even,cultural factors and possible different adaptation methods of men and women prompt Chinese people to consider or reject their compatriots as suitable partners/spouses.

Selecting a Chinese Construction Partner

This month＇s column highlights some key factors to be aware of when selecting a Chinese construction partner. We hope these tips will be useful in providing a basic understanding of China＇s complex business environment and how best to navigate it.

Manufacturing Partner Selection by Network Based on "Invite/Submit Tenders

Dynamic alliances are one type of production modes to realize agile manufacturing. Technology support for the dynamic alliance selection process is an important task in agile manufacturing. This paper analyzes the general dynamic alliance principle, suggests a network method for selecting partners, and analyzes the evaluation factors for partners selection in the process of setting up a manufacturing alliance. The results show that these factors can be divided into two levels: macro- and micro-characteristics. The decision-making process by each member has five main technical activities, which form the technology support system for the manufacturing alliance bid.

Partner selection model and soft computing approach for dynamic alliance of enterprises

Partner selection is an active research topic in agile manufacturing and supply chain management. In this paper, the problem is described by a 0-1 integer programming with non-analytical objective function. Then, the solution space is reduced by defining the inefficient candidate. By using the fuzzy rule quantification method, a fuzzy logic based decision making approach for the project scheduling is proposed. We then develop a fuzzy decision embedded genetic algorithm. We compare the algorithm with tranditional methods. The results show that the suggested approach can quickly achieve optimal solution for large size problems with high probability. The approach was applied to the partner selection problem of a coal fire power station construction project. The satisfactory results have been achieved.

Partner selection strategies in cooperative wireless networks with optimal power distribution

There have been several results that illustrate the best performance that a network can get through cooperation of relay nodes. For practical purposes, not all nodes in the network should be involved at the same time in every transmission. Therefore, optimal partner selection protocols in cooperative wireless networks are believed to be the first important thing that should be paid attention to. This problem in our article is considered in the context of regenerative nodes and non-altruistic cooperation （no pure relay exists; all nodes have their own data to transmit）. For each transmission, the protocol must provide the user （source node） a ＇best partner＇ （relay node） to cooperate with （for network simplicity and less transmission signals here, assume that each user has only one cooperative node）. A criterion is essentially needed when defining what a ＇best partner＇ is; in this article, two factors, i.e, the successful transmission probability and the transmission power, are considered. Three optimal partner selection strategies with different goals are proposed and analyzed respectively. The simulation results show that these are all supposed to be good tradeoffs between power consumption and transmission performance.