Dynamic Impact of the Structure of the Supply Chain of Perishable Foods on Logistics Performance and Food Security

Purpose: Understanding how the structure affects logistical performance and food security is critical in the supply chains of perishable foods (PFSC). This research proposes a system dynamics model to analyze the effects of structures: lean, agile, flexible, responsive and resilient, in the overall performance and of each agent of the PFSC. Design/methodology/approach: Using a system dynamics model and design of experiments it is studied how the different structures and their combination, affect the behavior of inventory, transportation, responsiveness, efficiency, availability and quality-safety of the fresh fruits supply chain and each echelon. Findings: The studies of supply chains have been done for each structure in an independent way; investigations are scarce in supply chains of perishable foods. The structures modeled in this research do not show the better performance in all the metrics of the chain, neither in all agents for each structure. The above implies the presence of trade-offs. Research limitations/implications: The results show the need to investigate mixed structures with the FPSC´s own characteristics; the model can be applied in other supply chains of perishable foods. Practical implications: Management by combining structures in the FFSC, improves logistics performance and contributes to food security. Social implications: The agents of the FFSC can apply the structures found in this study, to improve their logistics performance and the food security. Originality/value: The dynamics of individual and combined structures were identified, which constitutes a contribution to the discussion in the literature of such problems for FFSC. The model includes six echelons: farmers, wholesalers, agro-industry, third-party logistics operators and retailers. The dynamic contemplates deterioration rate to model perishability and others losses.

• Publication year

  2017

• Venue

  Journal of Industrial Engineering and Management

• Publication date

  2017-10-26

• Fields of study

  Agricultural and Food Sciences, Business

• Identifiers
  DOI 10.3926/JIEM.2147
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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