Interval-valued Pythagorean fuzzy AHP method-based supply chain performance evaluation by a new extension of SCOR model: SCOR 4.0

Abstract

Supply chain operations reference (SCOR) is a combined benchmarking, business process reengineering, and best practices, and it also references a model that is intended to be an industry standard. SCOR model is one of the best models to describe supply chain activities in operations management for research and practice alike. There are radical changes in the structure of supply chains as well as developing technology in today’s information age. The purpose of this paper is to extend the SCOR model with new metrics related to Industry 4.0 and digitalization to understand and evaluate the performance of supply chains. New metrics added to the SCOR model and a novel SCOR 4.0 model is proposed. The novel performance evaluation model is structured as a three-level hierarchical structure to evaluate the supply chain. This problem is handled as a multi-criteria decision-making problem. This study uses the hybrid Best worst method and Pythagorean fuzzy AHP method to determine the weights of metrics. SCOR model is adapted to performance evaluation of the supply chain in the globalizing world. The most important metrics on the supply chain performances are determined and classified. Level 1 metrics are evaluated by Best worst method and their inner levels are evaluated by the Pythagorean fuzzy AHP method and the importance weights of each level 2 and level 3 metrics are obtained. A real application for the oil supply chain is presented to show the applicability of the proposed model. It is aimed to show the SCOR 4.0 model can be used by both public and private sectors to improve their supply chain strategies in globalizing world.

Interval valued intuitionistic fuzzy analytic hierarchy process-based green supply chain resilience evaluation methodology in post COVID-19 era

“…Tavana et al ( 2021 ) propose hierarchical fuzzy BWM to determine weights of criteria to solve a sustainable supplier selection problem. Ayyildiz and Taskin Gumus ( 2021a , b ) extend the SCOR model with two novel metrics related to the digitalization and first-level metrics are weighted by BWM. Huang et al ( 2021 ) propose a Bayesian BWM and modified Ranking Organization Method for Enrichment Evaluations (PROMETHEE)–based airport resilience assessment model.…”

“…It also references a model developed to be an industry standard. SCOR model is useful tool to describe activities of supply chains in operations management for both practice alike and research (Ayyildiz and Taskin Gumus 2021b ). The model provides meaningful results to analyze the supply chain performance (Müller 2019 ).…”

Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment

“…Fuzzy inference system SCN Babbar and Amin [8] TraFN Stochastic fuzzy programming Supplier selection problem Gupta et al [25] TraFN Fuzzy goal programming Production distribution problem Ali et al [2] IFN Fuzzy bi-objective programming Inventory management Mari et al [40] TraFN Possibilistic fuzzy programming Supplier selection problem Abdel-Basset et al [1] TriFN Neutrosophic AHP and TOPSIS SCN Gupta et al [26] Type-2 TriFN Fuzzy goal programming Logistic Transportation Ayyildiz and Gumus [7] Pythagorean fuzzy number AHP and best worst method Oil supply chain Ghosh et al [20] Intuitionistic TriFN Fuzzy programming, goal programming, Intuitionistic fuzzy programming…”

“…Therefore, the direct maximum transportation cost incurred from various sources to different distributors through multiple plants is 1,239,163. The direct minimum transportation cost incurred from various sources to different warehouses through multiple plants is 1,196,386, and 7). Although selecting all efficient solutions cannot always be achieved in realistic circumstances, a compromise solution seems to be a solution favored by the DM for the multi-objective functions.…”

Einstein Geometric Aggregation Operators using a Novel Complex Interval-valued Pythagorean Fuzzy Setting with Application in Green Supplier Chain Management

“…After their successful utilization, certain scholars have employed it in the natural environment of separated areas. For example, Garg (2016) explored interval-valued PFSs and their application's, Ayyildiz and Gumus (2021) utilized the AHP method based on interval-valued PFSs, implemented the correlation measures by using the PFSs, Zhao et al (2021) explored TODIM method for interval-valued PFSs, Gao et al (2021) developed the quantum Pythagorean fuzzy evidence theory, Pan et al (2021) proposed similarity measures for PFSs, Zulqarnain et al (2021) initiated the TOPSIS method for Pythagorean fuzzy hyper-soft sets, Rani et al (2021) developed the weighted discrimination based approximation approach by using the PFSs, Calik (2021) initiated the AHP and TOPSIS method for PFSs and discussed their application in green supplier chain management, Chen (2021) developed the likelihood-based optimization based on PFSs.…”