Risk analysis approach to identifying actions that reduce waste for a Lean agricultural supply chain
Author(s) -
Nurul Chairany,
Akhmad Hidayatno,
Amalia Suzianti
Publication year - 2022
Publication title -
journal of industrial engineering and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.385
H-Index - 29
eISSN - 2013-8423
pISSN - 2013-0953
DOI - 10.3926/jiem.3678
Subject(s) - supply chain , agriculture , business , supply chain risk management , risk analysis (engineering) , lean manufacturing , operations management , environmental economics , supply chain management , engineering , marketing , economics , service management , ecology , biology
Purpose: In this study, we examine the food loss food waste (FLFW) risks in agricultural supply chain through combination the risk analysis approach and lean principles.Methodology: The methodology of this study includes the actor analysis, risk analysis approach, and lean principles. The actor analysis is conducted to identify the actor’s needs, problems, and characters. The risk analysis approach was combined with lean supply chain principles to identify risk points for FLFW in the agricultural supply chain for cayenne pepper in Indonesia. A risk–lean relationship matrix was developed to identify waste reduction efforts.Findings: In this study, the lean-risk matrix was created to discover the similarities and differences in waste reduction efforts in agricultural products compared with traditional manufacturing products, which can also apply to agricultural products in this case study.Research limitations/implications: This study focuses on combining the risk analysis and lean principles to determine the FLFW risk on the agricultural supply chain and find possible solutions to mitigate those risks. The case study for this research is the cayenne pepper supply chain.Originality/value: Lean principles in the FLFW problem are rarely found in studies. Lean principles are an approach that can be used to obtain solutions to reduce waste.
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