2nd ICAI 2022

International Conference on Automotive Industry 2022

Mladá Boleslav, Czech Republic

schedule of decision levels (Saaty 1986). Since its inception, the method has made significant progress, and, in particular, a number of business applications have been published. The method is based on a pairwise comparison of criteria and alternatives on several levels. Unlike most ordinary MCDM methods based on a pairwise comparison strategy, the cardinal advantage of the method consists in the expression whether a decision maker has a weak, strict, strong, or very strong preference for one item of the pair. Gajpal, Gannesh and Rajendran (1994) proposed AHP to evaluate alternatives in manufacturing organisations. Yurdakul and İÇ (2005) published a model for getting the overall performance score of the manufacturing company’s operational activities. Singh and Singh (2011) developed a three-level AHP-based method to solve multi-objective facility layout in manufacturing system. The advantages of hierarchical modelling in AHP discussed Ishizaka and Labib (2011). Larrodé et al. (2012) suggested an AHP-based methodological approach to analyse the process of technological differentiation in the automotive industry. Muerza et al. (2014). applied the AHP method to a general technological diversification process in the Spanish automotive industry. There is a logarithmic relationship between the two methods that we will extensively employ in the elicitation of preference information. Since it allows the inclusion of subjective factors, it is considered as an advancement compared to other decision-making methods. AHP has been applied extensively, especially to large scale problems involving multiple criteria, and where the evaluation of alternatives is mostly subjective. This paper describes how applications of stand-alone and integrated AHPs evolved and discusses the development over time of the main contributions in this field, to provide an original historical perspective on AHP. The aim is to identify seminal studies that have played a major role in the development of AHP and, also, to identify areas of its adoption. The study uses quantitative methods to identify the set of papers that have contributed most to AHP development and to discover recent major AHP activities. The literature contains several important surveys (Chai, Liu, and Ngai 2013; Ho 2008; Ishizaka and Labib 2011; Sipahi and Timor 2010), but the present paper is the first to investigate AHP adopting a longitudinal perspective on both its methodological development and applications, based on quantitative analysis. Our aim is to provide an in-depth understanding of the scientific communities working on specific applications of AHP and to analyse the on-going debate on the different AHP approaches proposed over recent decades. This study method can be described as quantitative, qualitative and citations network based. The need for a quantitative analysis of this work emerged as the result of the growing number of publications that no longer allow comprehensive qualitative analysis. The main goal of this paper is to present the implementation of the model of system based on the AHP method for optimization of multicriteria decision-making process in warehouse management in metallurgical company. Implementation of proposed model will be presented via the case study of application of the model for support of decision-making in process of storing finished products on two selected warehouse events in defined warehouse conditions will be presented in the expedition warehouse of medium-fine rolling mill in selected metallurgical company.

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