چكيده به لاتين
Abstract:
Finishing the project at a reasonable cost is the goal of the project team. One of the main problems facing this goal is the provision of project resources. Timely delivery of materials in projects is important. Therefore, establishing coordination with key material suppliers of a project, while ensuring the timely availability of materials, also minimizes costs. One way of creating this coordination is to integrate inventory scheduling, It should be noted that such a model is considered NP_hard in terms of complexity.
Accordingly, in this research, the mathematical model was presented taking into account the features of the project, which aims to minimize the cost of the project. This function is defined to minimize the costs associated with the project and the cost of inventory scheduling at the same time. Included fees; The cost of delay, the cost of the early reimbursement, the cost of material ordering, the cost of inventory of the project, the cost of purchasing the desired quality raw materials, the cost of resource allocation, the cost of keeping the inventory and the cost of delaying the supplier, and the amount of the optimal amount It is used in the event of a deficit, Seeking to determine the inventory of materials for each period, the earliest and the shortest completion time of the activities in order to reach the agreed time between the employer and the contractor and for the purpose of fining and contractor remuneration during the implementation of the project, also, the optimal and maximal quality of raw materials for the project that affects the total cost is expressed in this model as a function of the second goal.
After presenting the mathematical model and its linearization, GAMS software is used to solve and validate the model. In the following, the model is tested using actual data from the Asalouyeh combined cycle power plant Using refrigeration simulation algorithm (SA), algorithm (NSGA-II) and hybrid algorithm (SAGA) are tested. In order to demonstrate the efficiency of the proposed algorithms, the obtained solutions were compared in small, medium and large dimensions with a precise answer and finally, there are a number of suggestions that can be made in the future to improve the proposed model.
Keywords: Project Supply Chain, Inventory Scheduling, Two-objective Math Model, Meta-Algorithms.
