2nd ICAI 2022

International Conference on Automotive Industry 2022

Mladá Boleslav, Czech Republic

4. Conclusion The application of the proposed system model to two completely different warehouse events in different defined warehouse conditions demonstrates the variability of the model.However, it also points to a number of problematic shortcomings and problematic factors that need to be optimized before the successful implementation of the system in practice. Apart from the fact that each individual iteration of the decision-making process has a different form and composition of elements, the priorities and parameters of the evaluation criteria will also change, both at the filtering level and at the level of application of the AHP method. It is assumed that the quality of the outputs from the model increases exponentially with each iteration of the decision-making process. This is due to the already mentioned constant development and improvement of the model by users. Furthermore, also due to the gradual reorganization of the warehouse, when with the growing share of volumes stored with the support of the decision-making system, the quality of its decision and the ability to optimize will also increase. Another prerequisite is a reduction in the average level of stored stocks due to more efficient shipping processes, which will allow more freedom in choosing the optimal storage location. References [1] Gajpal, P. P., Ganesh, L. S. and Rajendran, C. (1994). Criticality Analysis of Spare Parts Using the Analytic Hierarchy Process. International Journal of Production Economics vol. 35, iss. 1–3, pp. 293–297. [2] Ishizaka, A. and Labib, A. (2011). Review of the Main Developments in the Analytic Hierarchy Process. Expert Systems with Applications , vol. 38, iss. 11, pp. 14336–14345. [3] Larrodé, E. et al. (2012). An AHP-multicriteria Suitability Evaluation of Technological Diversification in the Automotive Industry. International Journal of Production Research , vol. 50, iss. 17, pp. 4889–4907. [4] Muerza, V., de Arcocha, D., Larrodé, E. and Moreno-Jiménez, J. M. (2014). The Multicriteria Selection of Products in Technological Diversification Strategies: An Application to the Spanish Automotive Industry Based on AHP. Production Planning & Control , vol. 25, iss. 8, pp. 715–728. [5] Saaty, T. L. (1986). Axiomatic foundation of the analytic hierarchy process. Management Science , vol. 32, iss. 7, pp. 841–855. [6] Singh, S. P. and Singh, V. K. (2011). Three-level AHP-based Heuristic Approach for a Multi-objective Facility Layout Problem. International Journal of Production Research , vol. 49, iss. 4, pp. 1105–1125. [7] Yurdakul, M. and İÇ, Y. T. (2005). Development of a Performance Measurement Model for Manufacturing Companies Using the AHP and TOPSIS Approaches. International Journal of Production Research , vol. 23, iss. 21: 4609–4641. [8] Zavadskas, E. K. and Turskis, Z. (2011). Multiple criteria decision making (MCDM) methods in economics: an overview. Technological and economic development of economy , vol. 17, iss. 2, pp. 397-427.

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