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 for the others. The proposed model is based on the dynamic features for project topography.
Highlights
Project management is the science of planning, organizing, and managing resources well to complete the project successfully and achieve the desired objectives of the project successfully [1]
Lova et al [7] provided some heuristics on the basis of the multiple-resource constrained project scheduling problems (MRCPSP) priority rule with the analysis of renewable resources
The ordering for the critical and non-critical activities is given on the basis of the following steps of the proposed algorithm in this heuristic rule
Summary
Project management is the science of planning, organizing, and managing resources well to complete the project successfully and achieve the desired objectives of the project successfully [1]. Deterministic project scheduling considers all information such as activity durations and resource availability. Resource leveling is the process of allocating resources between various activities such that the peak requirement of resources is reduced with a constraint on time, and the underlying assumptions in resource leveling are only one type of resource being considered throughout the project, and activities already underway should be completed first. Resource allocation or resource management is to schedule the activities and resources required by those activities, considering the availability of resources and the time of the project. The basic objective is to determine which of the activities can be delayed and arrive at the shortest possible time to complete the project satisfying resource constraints. The heuristic determines which activity has the highest priority and receives resources for starting the scheduling process
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