Scheduling Multi-Mode Resource-Constrained Projects Using Heuristic Rules Under Uncertainty Environment

Abstract

Project scheduling is a key objective of many models and is the proposed method for project planning and management. Project scheduling problems depend on precedence relationships and resource constraints, in addition to some other limitations for achieving a subset of goals. Project scheduling problems are dependent on many limitations, including limitations of precedence relationships, resource constraints, and some other limitations for achieving a subset of goals. Deterministic project scheduling models consider all information about the scheduling problem such as activity durations and precedence relationships information resources available and required, which are known and stable during the implementation process. The concept of deterministic project scheduling conflicts with real situations, in which in many cases, some data on the activity' s durations of the project and the degree of availability of resources change or may have different modes and strategies during the process of project implementation for dealing with multi-mode conditions surrounded by projects and their activity durations. Scheduling the multi-mode resource-constrained project problem is an optimization problem whose minimum project duration subject to the availability of resources is of particular interest to us. We use the multi-mode resource allocation and scheduling model that takes into account the dynamicity features of all parameters, that is, the scheduling process must be flexible to dynamic environment features. In this paper, we propose five priority heuristic rules for scheduling multi-mode resource-constrained projects under dynamicity features for more realistic situations, in which we apply the proposed heuristic rules (PHR) for scheduling multi-mode resource-constrained projects. Five projects are considered test problems for the PHR. The obtained results rendered by these priority rules for the test problems are compared by the results obtained from 10 well-known heuristics rules rendered for the same test problems. The results in many cases of the proposed priority rules are very promising, where they achieve better scheduling dates in many test case problems and the same results

Research on Digital Medical Resource Scheduling Method Considering Data Interoperability

“…However, it is worth noting that for some digital medical metadata that reflects the change of relationship, the components of data warehouse cannot contain such data. Combined with the above attribute characteristics, based on the data in the data warehouse and its processing process, this paper realizes the description of digital medical data with the help of metadata [15][16] . This paper analyzes the metadata of digital medical data in the whole data warehouse system from the functional point of view, and its uses are mainly manifested in two aspects: on the one hand, the business of recording data items and the metadata describing information are one of the main sources of information based on users, which can give intuitive feedback on users' data usage [17] ; On the other hand, the management and maintenance of digital medical resource data can't be separated from the support of Kaiyuan data.…”