Optimizing Supplier Selection for a Construction Project by a Cash-Flow Approach Using a Hybrid Metaheuristic Algorithm
- سال انتشار: 1401
- محل انتشار: مجله داده های بزرگ و چشم انداز محاسباتی، دوره: 2، شماره: 2
- کد COI اختصاصی: JR_BDCV-2-2_002
- زبان مقاله: انگلیسی
- تعداد مشاهده: 257
نویسندگان
Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Department of Mathematic, Noor Branch, Islamic Azad University, Noor, Iran.
چکیده
Supplier selection is the practice of evaluating and selecting the best or most suitable supplier for the organization based on the candidates' qualities and qualifications. In large construction projects, supplier selection strongly impacts the quality of materials as well as the cash-flow and logistical support of the project. The issue becomes particularly important when a high number and volume of orders and a varied set of items are involved. If the procurement process is organized into several periods, the impact of Net Present Value (NPV) on the project's overall profit or loss becomes significant, as well. In this study, the solution to a multi-product multi-period supplier selection optimization problem is evaluated using a hybrid metaheuristic algorithm and considering the cash flow. Our analysis of the results shows that the algorithm is able to obtain the intended outcome within an appropriate timeframe and with high precision.کلیدواژه ها
optimization, Supplier selection, Metaheuristic Algorithm, Net Present Valueاطلاعات بیشتر در مورد COI
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