STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Research on Supply Chain Risk Evaluation of Furniture Manufacturing Industry
DOI: https://doi.org/10.62517/jbm.202409305
Author(s)
Yao Xiao, Kaoxun Chi
Affiliation(s)
School of Management, Shandong University of Technology, Zibo, Shandong, China
Abstract
With the rapid development of furniture manufacturing industry, the research of supply chain risk evaluation is more and more concerned by the industry. How to evaluate supply chain risk is the focus of current research. In this paper, SCOR model is used to identify supply chain risk factors of furniture manufacturing industry from five aspects: planning, procurement, production, distribution and returns, and the supply chain risk evaluation index system is constructed. The analytic hierarchy process (AHP) is used to determine the risk index weight, and the fuzzy comprehensive evaluation is used to comprehensively evaluate the supply chain risk, and risk coping strategies with suggestions are proposed according to the evaluation results.
Keywords
Furniture Manufacturing Supply Chain; SCOR Model; Risk Evaluation; Fuzzy Comprehensive Evaluation
References
[1] Ho W, Zheng T, Yildiz H, et al. Supply chain risk management: a literature review. International journal of production research, 2015, 53(16): 5031-5069. [2] Fan Y, Stevenson M. A review of supply chain risk management: definition, theory, and research agenda. International journal of physical distribution & logistics management, 2018, 48(3): 205-230. [3] Ntabe E N, LeBel L, Munson A D, et al. A systematic literature review of the supply chain operations reference (SCOR) model application with special attention to environmental issues. International Journal of Production Economics, 2015, 169: 310-332. [4] Kamutando G, Edwards L. Allocative Efficiency between and within the Formal and Informal Manufacturing Sectors in Zimbabwe. The World Bank Economic Review, 2023: lhad034. [5] Badorf F, Wagner S M, Hoberg K, et al. How supplier economies of scale drive supplier selection decisions. Journal of Supply Chain Management, 2019, 55(3): 45-67. [6] SkorupiƄska E, Hitka M, Sydor M. Surveying Quality Management Methodologies in Wooden Furniture Production. Systems, 2024, 12(2): 51. [7] Shirali G A, Rashnoudi P, Salehi V, et al. A hierarchical assessment of resilience engineering index in petrochemical industries using AHP and TOPSIS. Human Factors and Ergonomics in Manufacturing & Service Industries, 2023, 33(1): 3-26. [8] Wang J, Deng X. Comprehensive economic benefit evaluation method of coastal enterprises based on AHP. Journal of Coastal Research, 2020, 103(SI): 24-28. [9] Cao J, He B, Qu N, et al. Benefits evaluation method of an integrated energy system based on a fuzzy comprehensive evaluation method. Symmetry, 2022, 15(1): 84. [10] Xie M, Peng Y, Yang J, et al. The AHP (1-9 Value Scale) Level Method to Analyze the Development of Logistics under the Perspective of Low-Carbon Environmental Protection: Taking Shandong Province, China, as an Example. Wireless Communications and Mobile Computing, 2022, 2022.
Copyright @ 2020-2035 STEMM Institute Press All Rights Reserved