Supplier Selection of Shipbuilding Enterprises Based on Intuitionistic Fuzzy Multicriteria Decision

Abstract

With the increasingly fierce competition in the global shipbuilding industry, shipbuilding enterprises need to maintain competitiveness and cope with rapid changes. In this case, shipbuilding enterprises need to establish effective supply chain management. Among them, choosing the right supplier is one of the most critical activities. The supplier selection of shipbuilding enterprises is considered a complex multicriteria decision-making (MCDM) problem that attracts much attention due to intuitionistic fuzzy sets to deal with possible imprecision and fuzziness in real life. Based on this, this paper proposes a new method based on the intuitionistic fuzzy SWARA (stepwise weight assessment ratio analysis) and COPRAS (complex proportional assessment) method to select shipbuilding enterprise suppliers which is a new research area. First of all, different weights are given to each expert evaluation result according to their position, educational background, and working years. The supplier index’s weight is determined based on the intuitionistic fuzzy SWARA method, and it is easy to understand and operate. The ranking of suppliers is determined by the intuitionistic fuzzy COPRAS method. This method considers all kinds of uncertainties and evaluates the utility index and the cost index of alternative suppliers. Finally, taking a shipbuilding enterprise as an example, applying the intuitionistic fuzzy SWARA-COPRAS method is illustrated. Compared with other methods and sensitivity analysis, it shows that the intuitionistic fuzzy multicriteria decision-making method is effective and stable in shipbuilding enterprises.

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“…Due to its ability to handle both cost and benefit criteria is the most popular alternative ranking method among researchers and practitioners. This method provides a hierarchy for the alternatives or a set of solutions based on the significance and utility scores of the factors and suggests the best solution among them (Ziquan et al. , 2021).…”

“…In the SWARA method, the decision-makers have the flexibility to set their priorities for the set of criteria; therefore, this method offers more precise results than other ones. The stepwise computation of the IF-SWARA method can be summarized in the following steps (Ziquan et al. , 2021); Step 1.…”

“…Due to its ability to handle both cost and benefit criteria is the most popular alternative ranking method among researchers and practitioners. This method provides a hierarchy for the alternatives or a set of solutions based on the significance and utility scores of the factors and suggests the best solution among them (Ziquan et al, 2021). The key benefits of using the COPRAS method are: (1) easy to compute, (2) it offers a hierarchy of alternatives including both positive and negative ideal solutions simultaneously, (3) very few computational steps are required to reach a particular solution (Kumari and Mishra, 2020).…”