Leveraging tacit knowledge for shipyard facility layout selection using fuzzy set theory. (15th November 2020)

• Record Type: Journal Article
• Authors: Dixit, Vijaya; Verma, Priyanka; Raj, Piyush
• Is Part Of: Expert systems with applications. Volume 158(2020)
• Publication Date: 2020-11-15
• Subjects: Fuzzy similarity index -- Fuzzy goal programming -- Relationship chart -- Shipyard layout -- Shipbuilding process; Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2020.113423
• Languages: English
• ISSNs: 0957-4174

Abstract

Highlights: Shipyard layout selection problem addressed Two stage approach of Fuzzy similarity index & Fuzzy goal programming model(FGPM) First stage elicits alternative layouts and relationship charts from practitioners Second stage has FGPM incorporating practical constraints Output yields optimal selection of layout Abstract: A shipyard's layout contributes significantly to manufacturing performance. The practitioners based on experience can provide feasible alternative layouts by considering qualitative factors. However, no study in the shipyard layout context has leveraged their valuable subjective knowledge. This study addresses the above research gap. It proposes a two-stage approach using the Fuzzy similarity index (FSI) and the Fuzzy goal programming model (FGPM). The first stage elicits alternative layouts and relationship (REL) charts from practitioners. REL's fuzzy proximity ratings are assigned by subjective assessment of shipbuilding process flow, inter-shop material flow, distance, cost per unit distance, sharing of material handling equipment. Thereafter, the FSI of each alternative layout with respect to the ideal layout is evaluated. However, implementing the alternative layout with the highest FSI may not be feasible due to practical constraints. Therefore, in the second stage, FGPM is formulated incorporating practical constraints related to site factors, harmful gases emission, environmental, and safety to yield an optimal selection of layout.