دانلود رایگان مقاله انگلیسی مدیریت ریسک زنجیره تامین تجارت کشاورزی: بررسی مدل های تصمیم گیری کمی - الزویر 2018

Abstract

Supply chain risk management is a large and growing field of research. However, within this field, mathematical models for agricultural products have received relatively little attention. This is somewhat surprising as risk management is even more important for agricultural supply chains due to challenges associated with seasonality, supply spikes, long supply lead-times, and perishability. This paper carries out a thorough review of the relatively limited literature on quantitative risk management models for agricultural supply chains. Specifically, we identify robustness and resilience as two key techniques for managing risk. Since these terms are not used consistently in the literature, we propose clear definitions and metrics for these terms; we then use these definitions to classify the agricultural supply chain risk management literature. Implications are given for both practice and future research on agricultural supply chain risk management.

5. Conclusions

Although quantitative modeling approaches have been applied to agricultural problems for a long time, adoption of these methods for improving planning decisions in agribusiness supply chains under uncertainty is still limited. In the current study, quantitative models for risk management in ASCs were reviewed, with a particular focus on categorizing SCRM strategies as robust or resilient.

According to our review, limitations in quantitative ASC studies are recognizable from both the number of publications and the scope of existing studies. Thus, the literature on Agribusiness Supply Chain Risk Management (ASCRM) is likely to extend over the next few years. In particular, we have identified the following directions to be explored in future research in the field of ASCRM according to both the academic research gap and the needs of industries:

1. Perishability modeling. In this topic, the consideration of perishability in fresh products under variable shelf-life is a significant omission that needs to be incorporated in models related to disruption management in the context of ASCs. For instance, the price of technology to keep the products fresh for a longer time can be traded off with the additional profit generated by selling the produce when it is fresh. This consideration needs to be combined with the adoption of risk management strategies.

2. Multi-period planning. This is another area that lacks sufficient attention in the current ASCRM literature, even though, it is particularly important in the context of agribusiness because of timedependent characteristics of agricultural products (relating to their freshness). Multi-period ASC planning under disruption is needed to handle quality management for agricultural products over time and concurrently consider time-correlation of disruption risks.