Risk analysis approach to identifying actions that reduce waste for a Lean agricultural supply chain

Author:

Chairany NurulORCID,Hidayatno AkhmadORCID,Suzianti AmaliaORCID

Abstract

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.

Publisher

Omnia Publisher SL

Subject

Industrial and Manufacturing Engineering,Strategy and Management

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Lean thinking in value co-creation:;International Journal of Innovation;2023-12-20

2. A systematic review to identify obstacles in the agricultural supply chain and future directions;Journal of Agribusiness in Developing and Emerging Economies;2023-04-27

3. Risk Analysis of Supply Chain Food Loss on Fishery Products Using Failure Mode Effect and Supply Chain Operation Reference Model;Industrial Engineering & Management Systems;2023-03-31

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