Integrated risk assessment in sago preparation process using fuzzy petri net model

Abstract

Tapioca starch is one among the staple foods for human, especially in Tamil Nadu, India. The sago pearls can be produced from tapioca starch through a preparation process (PP). During PP failure may occur in the processing unit, and it may affect the quality of sago pearls, which is a major issue in sago industries. Hence, in our study, a risk assessment method based on fuzzy petri net (FPN) is proposed for the assessment of sago PP. FPN is a graphical mathematical modeling, which provides the basis for modeling the systems with uncertain and inadequate information. Evaluation of weights for places and transitions is a major concern in FPN models, to overcome this limitation, this study proposes a fuzzy analytic hierarchy process to evaluate the weights of the places and transitions in FPN. A FPN model for sago processing unit is defined and by using a matrix‐based reasoning algorithm, risk values for various levels and for the entire system is evaluated. Our method is the one of the reliable methods in risk evaluation of the sago mills and production factories. Practical Applications A specific case study on sago manufacturing process in a factory at Namakkal district, Tamil Nadu is adopted to project the significance of the proposed FPN model with FAHP. For evaluation process, risk factors and token value of the risk factors for FPN model are acquired from the experts in the industry. From the evaluated results of the study attained from the proposed models, it is observed that the results are more consistent with the actual condition. Although the results obtained from the proposed are too reliable with the actual condition of the factory, the proposed FPN‐based risk evaluation methodology for the sago manufacturing process offers reasonable support to the Fault diagnosing unit to avoid the failure in the industry.

A weighted fuzzy Petri-net analysis for Indian foodgrains supply chain

“…Fuzzy Petri-net (FPN) expands the classical PN to resolve complexity or ambiguity in knowledge-based structures. The FPN approach has been widely used recently in risk management in different sectors and is considered the most reliable risk assessment approach (Selvaraj and Ramalingam, 2022). Wang et al (2022) developed a novel synergy-effect-incorporated FPN model and presented a case study for the chemical industry.…”

“…Yu et al proposed a probabilistic FPN for risk assessment in submarine pipeline leakage failure (Yu et al, 2022). Selvaraj and Ramalingam (2022) performed a risk assessment for sago industries using FPN. This study provides the basis for modelling the systems with uncertainty and inadequate information.…”

“…, 2022). Selvaraj and Ramalingam (2022) performed a risk assessment for sago industries using FPN. This study provides the basis for modelling the systems with uncertainty and inadequate information.…”