Product’s Selection for the Moroccan Technical Textile Industry by Using Custom’s Imports Data and Analytic Models

Zaim Faical and Morad Sbiti

Modern Applied Science, 2016, vol. 10, issue 4, 47

Abstract: This paper proposes a model of product’s selection for Moroccan technical Textile industry. In a first step, using software, the study selects technical textiles positions, classes them by technologies segments, and extracts their import’s data from governmental data based, in term of value, volume, unit price and suppliers. In a second step overweight various segments and products using Analytical Hierarchy Process (AHP) to calculate attractiveness and competitive strength and chooses which of them are the most suitable for investment by using a Mckinsey matrix. From the 481 products considered as technical textiles, the study chooses 21 (4.3%) products representing 44.14% from the total value of Moroccan technical textile imports.

Date: 2016
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