Close-loop or open hierarchical structures in green supply chain management under uncertainty

  • Authors:

  • Ming-Lang Tseng;Ru-Jen Lin;Yuan-Hsu Lin;Rong-Hui Chen;Kimhua Tan

  • Affiliations:

  • Department of Business Administration, Lunghwa University of Science and Technology, Taiwan;Department of Business Administration, Lunghwa University of Science and Technology, Taiwan;Department of Finance, MingDao University, Taiwan;Department of Business Administration, Lunghwa University of Science and Technology, Taiwan;Business School, the University of Nottingham, United Kingdom

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2014

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Abstract

This study aims to explore the differences between close-loop and open hierarchical structures, which are used in the analytical network process (ANP) analysis of green supply chain management (GSCM) under uncertainty. Specifically, this study examines the interdependence among the proposed aspects and criteria used to assess GSCM in two hierarchical structures and compares these results to those of a real situation. Additionally, the aspects and criteria involve qualitative preferences in GSCM evaluation. Hence, this study proposes to use both hybrid fuzzy set theory and ANP methods. Examining two types of hierarchical structure provides the ability to examine study problems that have similar aspects and criteria with respect to situations that occur in GSCM. This study argues that while many of the commonly employed close-loop and open hierarchical structures display numerous worthwhile operational processes, further refinement of the criteria and methods are needed to improve the field. The results indicate that the close-loop hierarchical structure more closely resembles existing applications. The managerial implications of this result are discussed, and concluding remarks are provided.