Development of a hybrid fresh food supply chain risk assessment model

Nakandala, Dilupa; Lau, Henry C. W.; Zhao, Li

doi:10.1080/00207543.2016.1267413

Cited by 78 publications

(56 citation statements)

References 43 publications

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“…The focus on product quality and sustainability simultaneously creates further complexity in managing the ASC (Van der Vorst et al, 2009). However, sustainability standards and performance requirements can help in reducing several risks for supply chain entities such as low quality, delivery failure, demand, and climate extremes risks (Diabat et al, 2011, Nakandala et al, 2017. A major challenge in ASCs is food waste and primarily Postharvest Food Losses (PHFL) (Halloran et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Does collaboration pay in agricultural supply chain? An empirical approach

Despoudi

Papaioannou

Saridakis

et al. 2018

International Journal of Production Research

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This paper examines the effect of different types of collaboration on the level of Postharvest Food Losses (PHFL) and the proportion of low-quality peaches produced using a unique dataset of Greek peach producers. Quantile regression techniques are adopted to estimate the effects at different points of the conditional distribution of our variables of interest. The findings of this study suggest that high levels of collaboration between producers and cooperatives are associated with both low levels of PHFL and a low proportion of low-quality peaches. We also find that specific types of collaboration, such as 'goal congruence', can play a significant role in reducing PHFL and improving the quality of peach production at the extremes of the distribution. Important policy implications regarding collaborative practices and systems that can be implemented to reduce PHFL and boost a producer's performance together with sustainability credentials are drawn from this study.

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Section: Introductionmentioning

confidence: 99%

Does collaboration pay in agricultural supply chain? An empirical approach

Despoudi

Papaioannou

Saridakis

et al. 2018

International Journal of Production Research

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“…Several researchers have aimed to reduce the probability of uncertain events and fresh produce losses by risk identification and classification [28][29][30]. Nakandala et al [4] analyzed risk factors of the fresh food supply chain from an internal and external perspective, and then built a hybrid risk assessment model to minimize the negative impact of the risk. Rangel et al [22] used existing data to classify supply chain risks as plan, source, make, delivery, and return, etc.…”

Section: Green Logistics Of Fresh Producementioning

confidence: 99%

“…The development of fresh food e-commerce has provided comfort and convenience for consumers' daily lives and has modified cold chain management drastically [1]. However, as foodborne diseases can have a wide influence and reach epidemic speeds of transmission [2], monitoring and managing risks associated with the logistics of fresh produce must be addressed to ensure food safety [3,4]. As fresh products are characterized by their short shelf life and perishability, the continued development of fresh food e-commerce also brings new opportunities and challenges to global sustainable development.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment and Monitoring of Green Logistics for Fresh Produce Based on a Support Vector Machine

Zhang

Peng

2020

Sustainability

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The sustainability and profitability of fresh produce supply chains are contingent upon several risk factors. This work, therefore, examines several risk indicators that affect the quality and safety of fresh produce in transit, including technological, biological, sustainability, environmental, and emergency risks. Then, we developed a risk assessment and monitoring model that employs a machine learning algorithm, a support vector machine, based on historical monitoring data. The proposed methodology was then applied to simulation and numerical analysis to assess the risks incurred in the strawberry cold chain. After training, the algorithm predicted the risks incurred during transportation with an average accuracy of 90.4%. Therefore, the developed methodology can effectively and accurately perform a risk assessment. Furthermore, the risk assessment model can be applied to other fresh produce due to comprehensive risk indicators. Decision-makers in fresh produce logistics companies can use the developed methodology to identify and mitigate risks incurred, thus improving food safety, reducing product loss, maximizing profits, and realizing sustainable development.

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“…Becoming the risk appraisal tool in supply chain, service supply chain FMEA utilizes the risk priority number as product of adverse event probability occurrence level and estimated severity of its consequences in evaluating criticality of risky events. An exemplar on appraising the risk within supply chain can be referred into [5]. By implementing FMEA in service operation, decision makers enable to take any preventative measures to prevent the re-occurrence of adverse events derail operability of disaster response supply chain.…”

Section: B Service Supply Chain Failure Mode and Effect Analysismentioning

confidence: 99%

A Conceptual Model on Integrating Supply Chain Operations Reference (SCOR) into Disaster Response Service Supply Chain FMEA

Sutrisno¹,

Maluegha²,

Soukotta³

2018

IJIES

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Becoming country prone to the occurrence of natural disasters, determination on risk variables affecting successful operation of disaster response service supply chain using supply chain FMEA (Failure Mode and Effect Analysis) is undeniably important to support successfulness of humanitarian operation. However, scientific studies concerning on integrating SCOR into Risk evaluation of disaster response supply chain is rarely found in references. To response such gap, this paper presents a conceptual model on integrating disaster response supply chain FMEA with Supply Chain Operational Reference (SCOR) to determine a conceptual risk-based performance evaluation model in disaster response supply chain. A framework on integrating Service Supply Chain FMEA with SCOR is presented coupled with a decision support model for evaluating criticality of risk-based performance index and followed with discussions and new opportunity for further investigations. Keywords—Service Supply Chain, FMEA, SCOR, Disaster Response, Risk.

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Development of a hybrid fresh food supply chain risk assessment model

Cited by 78 publications

References 43 publications

Does collaboration pay in agricultural supply chain? An empirical approach

Does collaboration pay in agricultural supply chain? An empirical approach

Risk Assessment and Monitoring of Green Logistics for Fresh Produce Based on a Support Vector Machine

A Conceptual Model on Integrating Supply Chain Operations Reference (SCOR) into Disaster Response Service Supply Chain FMEA

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