With the trend of global collaboration and development of Internet of Things in industry 4.0, the collaboration relationships between designers is getting more close and important than before. Therefore, when project manager assign designers to design projects, it is very important for them to select design projects with the consider about the expectations of the designers regarding the different projects and collaboration ability for the designers in the projects while it is very important to identify the projects with the consideration of skills, experiences, availabilities and so on. Even though, there are various methods for selecting projects, most of these methods not consider about the expectations of designer and the collaboration ability. Therefore, in this paper, we propose a project selection methodology, which consider about the designers’ expectations to the candidate multi-project and collaboration ability in the candidate multi-project. The main objective of our research is to help project manager to find an adaptable and comfortable multi- project to the designer.

Conservation programme planning involves allocating a limited budget amongst different potential conservation projects. The selection of projects for funding is subject to a high degree of uncertainty and a number of competing objectives such as ecological protection, recreation and community relations. The purposes of this paper are to summarize the quantitative methods currently used in deciding which conservation projects to fund and to present a general methodology based on decision analysis that can be used for making conservation programme planning decisions. The methodology directly links the proposed contributions of projects to the objectives of the conservation agency, and it includes an explicit consideration of uncertainty and a conversion of ordinal scores into utilities. The methodology is a rational way of making decisions in conservation situations that are characterized by high degrees of uncertainty and subjective information. An application of decision analysis with staff from the New Zealand Department of Conservation is described. Some of the difficulties with using this methodology in practice are discussed in both the New Zealand and broader contexts. The conclusions are that conservation programme planning is currently based on managerial experience and relatively simple scoring procedures, but that a more rational approach based on decision analysis is possible, and additional research would reduce the amount of effort required to use decision analysis for conservation programme planning.