Open AccessWAREHOUSE RISK ASSESSMENT USING INTERVAL VALUED INTUITIONISTIC FUZZY AHP
Author(s) -
Selçuk Çebı,
Esra İ̇lbahar
Publication year - 2018
Publication title -
international journal of the analytic hierarchy process
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.213
H-Index - 3
ISSN - 1936-6744
DOI - 10.13033/ijahp.v10i2.549
Subject(s) - warehouse , analytic hierarchy process , computer science , risk analysis (engineering) , table (database) , process (computing) , operations research , fuzzy logic , operations management , data mining , business , mathematics , engineering , artificial intelligence , marketing , operating system
Warehouses are essential components of a supply chain management system. Any malfunction in warehouses may have an important effect on the subsequent operations of a firm. For example, an accident that occurs in a warehouse can damage the operations of the company as well as the health of the employees. In this paper, critical operations at a warehouse are considered in terms of occupational health and safety. The originality of the paper is that the proposed approach provides a new perspective on warehouse risk assessment. It is the first time a method involving interval valued intuitionistic fuzzy Analytical Hierarchy Process (IVIF-AHP) and a new risk assessment table is utilized to evaluate and categorize the risks in warehouses. As a result of the proposed risk assessment method, hazards in warehouses are categorized as insignificant, marginal, or catastrophic.