much research hasn’t been done in the area of project selection in the public sector. in this paper, we tried to choose projects in the public sector, and a linear programming model is presented. in an effort to build the model, the decision criteria were identified using the delphi method and then the criteria were reviewed at conceptual combining. the model was constructed in a linear, goal a...

This paper presents an alternative method using artificial neural network (ANN) to develop a scheduling scheme which is used to determine the makespan or cycle time of a group of jobs going through a series of stages or workstations. The common conventional method uses mathematical programming techniques and presented in Gantt charts forms. The contribution of this paper is in three fold. First...

Project-based remanufacturing is a kind of service-driven remanufacturing mode, and production scheduling is one of the important issues for project-based remanufacturing system operation. Many uncertain factors exist in the remanufacturing system which lead to the traditional single production scheduling model and approach can not satisfy the requirements for production scheduling in the proce...

In this article, we address a variant of the rolling stock (RS) problem in dense railway systems within a metropolitan context. It consists in determining every train composition and scheduling empty trains to efficiently fit the demand. By empty trains we refer to scheduled trips where trains travel along the system without carrying passengers. A heuristic is presented to generate eligible slo...

This report describes work funded under the DARPA Planning and Scheduling Initiative that led to the development of SOCAP (System for Operations Crisis Action Planning). In particular, it describes lessons learned in applying SIPE2, the underlying AI planning technology within SOCAP, to the domain of military operations deliberate and crisis action planning. SOCAP was demonstrated at the U.S. C...

in this paper, a new genetic algorithm (ga) is presented for solving the multi-mode resource-constrained project scheduling problem (mrcpsp) with minimization of project makespan as the objective subject to resource and precedence constraints. a random key and the related mode list (ml) representation scheme are used as encoding schemes and the multi-mode serial schedule generation scheme (mssg...