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From resilience to satisfaction: Defining supply chain solutions for agri-food SMEs through quality approach.
Wicaksono, Tutur; Illés, Csaba Bálint.
  • Wicaksono T; Doctoral School of Economic and Regional Sciences, Hungarian University of Agriculture and Life Sciences, Godollo, Hungary.
  • Illés CB; Faculty of Economics and Business, Universitas Al Azhar Indonesia (UAI), Jakarta, Indonesia.
PLoS One ; 17(2): e0263393, 2022.
Article in English | MEDLINE | ID: covidwho-1674011
ABSTRACT
Since it is an important human need and many organizations are involved in the value chain, the agricultural food supply chain is exposed to various risks that arise naturally or through human actions. This study aims to develop the application of a quality function deployment approach to increase the resilience of the food supply chain by understanding customer needs and logistical risks in the food supply chain. In-depth studies with empirical analysis were conducted to determine the importance of customer needs, food supply chain risks, and actions to improve supply chain resilience of SMEs in the agri-food industry. The result shows that the top three customer needs are "attractive, bright color", "firm texture" and "fresh smell". The top three risks in the agri-food supply chain are "improper storage," "Harvest Failure" and "Human Resource Risks" and the top three resilience actions are "continuous training," "preventive maintenance," and "supply chain forecasting." The implications of this study are to propose an idea that broadens the perspective of supply chain resilience in the agri-food industry by incorporating the needs of customers in considering how to mitigate the existing risks to the satisfaction of customers, and it also highlights the relatively low skill and coordination of the workforce in agri-food supply chains.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Food Industry / Total Quality Management / Commerce / Consumer Behavior / Agriculture / Food Supply Type of study: Prognostic study Limits: Adult / Female / Humans / Male / Middle aged / Young adult Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0263393

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Food Industry / Total Quality Management / Commerce / Consumer Behavior / Agriculture / Food Supply Type of study: Prognostic study Limits: Adult / Female / Humans / Male / Middle aged / Young adult Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0263393