Project Procurement Scheduling Problem With Gradual Ordering and All-Unit Discount under The Presence of Multiple Suppliers

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Khojasteh, Arash | 2018

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 51023 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Shadrokh, Shahram
Abstract:
Simultaneous planning of project scheduling and material procurement can improve the project execution costs. Hence, the issue considering this approach that each activities requirement can be distributed on the duration of it, has been addressed here by a mixed-integer programming model (named model 2). The proposed model facilitates the procurement decisions by accounting for a number of suppliers offering a distinctive discount formula from which to purchase the required materials. This paper proposed a genetic algorithm combining with a heuristic method to deal with the problem. The underlying factors of the solution methods are calibrated by the Taguchi method to obtain robust solutions. The performance of the combination of aforementioned model and method is compared for different problem sizes with the latest proposed model in the procurement literature (named model 1) and it concluded that the new model with the proposed algorithm had less execution cost than model 1
Keywords:
Genetic Algorithm ; Project Scheduling ; Procurement Scheduling ; Materials Requirments Planning (MRP) ; All-Units Discount

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