Synthesis of strategies in post-COVID-19 public sector supply chains under an intuitionistic fuzzy environment

• Published in: Socio-economic planning sciences 2023-02, Vol.85, p.101340-101340, Article 101340
• Main Authors: Ocampo, Lanndon, Aro, Joerabell Lourdes, Evangelista, Samantha Shane, Maturan, Fatima, Atibing, Nadine May, Yamagishi, Kafferine, Selerio, Egberto
• Format: Article
• Language: English
• Subjects: COVID-19; Full consistency method; Fuzzy decision maps; Intuitionistic fuzzy set theory; Kano model; Public sector supply chain; Quality function deployment
• ISSN: 0038-0121; 1873-6041; 0038-0121
• DOI: 10.1016/j.seps.2022.101340

Entities in public sector supply chains (SCs) often operate independently despite having interdependent objectives. Such a fragmented operational design poses several problems magnified by the presence of necessary public health measures fueled by COVID-19. This work contributes to the domain literature by introducing an overarching framework for synthesizing strategies in public sector SCs. The underlying component is the translation of information from the upstream to the downstream entities of the SCs, which is carried out by a Kano-enhanced quality function deployment. The proposed framework introduces intuitionistic fuzzy (IF) decision maps with the aid of the full consistency method to incorporate inherent interrelationships among strategies in the translation agenda. Under an IF environment that better captures judgment uncertainties, an actual case study of a multi-level public sector SC motivated by a government-funded project under the COVID-19 pandemic is demonstrated in this work. Findings of the case suggest that the government prioritizes meeting all project objectives. This requirement is reflected in the downstream SC. The project planning entity focuses on creating an overarching plan of operations, material request entity on complying with government procurement protocols, and maintaining public health and safety in operations for the procurement entity. Results show the effective synthesis of strategies across the SC, ensuring SC integration and collaboration. The case study demonstrates that maintaining public health and safety is a significant component of post-COVID-19 public sector SCs. Several practical insights on the synthesis of public sector SC strategies are also provided in this work. •A framework for synthesizing post-COVID-19 strategies of public sector supply chains is proposed.•The framework is developed by integrating the Kano-QFD model, FUCOM, and FDM.•The integration is performed under an intuitionistic fuzzy environment.•The proposed framework is demonstrated through an actual case study.•Findings show that the integrated methodology is sufficient for real-world applications.