Exploring sustainable seafood supply chain management based on linguistic preferences: Collaboration in the supply chain and lean management drive economic benefits

• Main Authors: Tseng, Ming Lang, Tran, Thi Phuong Thuy, Wu, Kuo Jui, Tan, Raymond Girard R., Bui, Tat Dat
• Format: text
• Published: Animo Repository 2020
• Subjects: Business logistics > Vietnam; Sustainability > Vietnam; Seafood industry > Vietnam; Lean manufacturing > Vietnam; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2796
• Institution: De La Salle University

Prior studies in sustainable supply chain management (SSCM) fail to address collaboration in the supply chain and lean management in conjunction with economic benefits. Collaboration in the supply chain and lean management have to integrate into SSCM, which involves social, economic and environmental aspects. This study aims to establish a framework to understand the seafood industry in Vietnam and to enhance its performance. This framework proposes 5 aspects and 21 criteria, and these aspects involve qualitative information. Fuzzy set theory is applied to deal with the complexity of and uncertainty in the linguistic preferences. The fuzzy Delphi method is employed to test the reliability and validity attributes. A decision-making trial and evaluation laboratory is to assess the interrelationships among the attributes. Sensitivity analysis is adopted to address subjective robustness and objective perceptions. The results show that the aspects of collaboration in the supply chain and lean management drive economic benefits. © 2020 Informa UK Limited, trading as Taylor & Francis Group.