Forecasting and prediction by mean of Analytic Hierarchy Process (AHP) in the field of supply chains

Krstev, Dejan and Srebrenkoska, Sara and Cekerovska, Marija (2023) Forecasting and prediction by mean of Analytic Hierarchy Process (AHP) in the field of supply chains. Natural Resources and Technology, 17 (2). ISSN 1857-6966

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Abstract

Supply chain management is a critical aspect of modern businesses, with companies striving to optimize their operations for efficiency and profitability. Accurate forecasting and prediction play a pivotal role in achieving these objectives. The study investigates the use of the Analytic Hierarchy Process (AHP) as a robust decision-making tool in supply chain forecasting and prediction. The core of this study involves the development of an AHP-based forecasting and prediction framework tailored to the supply chain domain. AHP is a systematic approach that enables decision-makers to evaluate various forecasting models using a hierarchy of criteria, sub-criteria, and alternatives. The framework also enables the incorporation of expert opinions, historical data, and real-time information, ensuring a comprehensive and adaptable approach to forecasting. Case studies and empirical evidence are presented to demonstrate the effectiveness of the AHP-based framework in improving supply chain forecasting accuracy and decision-making. These examples showcase how AHP can assist in demand forecasting, inventory management, supplier selection, and other critical supply chain activities.

Item Type:	Article
Subjects:	Engineering and Technology > Other engineering and technologies Natural sciences > Other natural sciences
Divisions:	Faculty of Mechanical Engineering
Depositing User:	Dejan Krstev
Date Deposited:	04 Dec 2023 11:19
Last Modified:	04 Dec 2023 11:19
URI:	https://eprints.ugd.edu.mk/id/eprint/32739

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