Large-scale projects often have several activities which are performed by subcontractors with limited multi-resources. Project scheduling with limited resources is one of the most famous problems in the research operations and optimization cases. The resource-constraint project scheduling problem (RCPSP) is a NP-hard problem in which the activities of a project must be scheduled to reduce the p...

This paper presents a mathematical model for a flow shop scheduling problem consisting of m machine and n jobs with fuzzy processing times that can be estimated as independent stochastic or fuzzy numbers. In the traditional flow shop scheduling problem, the typical objective is to minimize the makespan). However,, two significant criteria for each schedule in stochastic models are: expectable m...

Problem statement: In this study, we present the development of genetic algorithm based neuro fuzzy technique for process grain sized in scheduling of parallel jobs with the help of real lIfe workload data. Approach: The study uses the rule based scheduling strategy for the scheduling and classIfies all possible scheduling strategies. The rule bases are developed with the help of the neuro fuzz...

Resource constrained project scheduling problem is one of the most important issues in project planning and management. The objective function of this problem is to minimize the completion time of a project. When there is budget constraint or high risk for investment, using the criteria such as cash flows is so important. The development of computer systems and processors makes it possible to t...

Today's competitive conditions have caused the projects to be carried out in the least possible time with limited resources. Therefore, managing and scheduling a project is a necessity for the project. The timing of a project is to specify a sequence of times for a series of related activities. According to their priority and their latency, so that between the time the project is completed and ...

In this study, the problem of project selection and scheduling with resource management is considered setup times, dynamic arrivals, priorities relationship between projects. A fuzzy multi-objective mixed integer linear programming (MILP) model proposed for solution problem. The classic two-phase goal (FGP) approach modified to solve MILP model. addressed defined over a construction company. ef...

the scheduling problems are the non-polynomial problems-hard (np-hard), is to solve it, and meta-heuristic innovative method compared with the exact method require less time and memory.in this research, developed imperialistic competitive algorithm used to solving the single-mode resource-constrained project scheduling problem.also the basic feasible solution algorithm used in order to increase...

in this paper we consider the non-preemptive variant of a multi-mode resource constrained project scheduling problem (mrcpsp) with mode identity, in which a set of project activities is partitioned into disjoint subsets while all activities forming one subset have to be processed in the same mode. we present a depth-first branch and bound algorithm for the resource constrained project schedulin...

The paper aims to present a cost evaluation for multi-project environment, taking into account imprecision in activity duration and cost. Data specification in the form of discrete α-cuts enables the connection of distinct and imprecise data, and the implementation of a constraints satisfaction problem with the use of constraint programming. Moreover, using α-cuts, optimistic, pessimistic, and ...