An optimization approach for managing fresh food quality throughout the supply chain

By Aiying Rong, Renzo Akkerman, Martin Grunow. 2011

640 citations recorded by the source corpus.

Subfields: Food Science, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/361aa19f0472181182b1166f0dac79d38933b629

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In Food Science

In Management Information Systems

Citations in the corpus

Two-echelon multiple-vehicle location-routing problem with time windows for optimization of sustainable supply chain network of perishable food (2014, background): “Managing a food SCN is complicated due to many specific product and process characteristics (Rong et al., 2011; Van Donk et al., 2008).”
A Review on Quantitative Models for Sustainable Food Logistics Management (2012, methodology): “Moreover, rather than assuming simple linear decay, for instance Rong et al. (2011) use a quantitative quality decay model based on the Arrhenius equation, which is a remarkably accurate formula for the temperature dependence (Chang, 1981), to manage quality changes.”
Modeling an Inventory Routing Problem for perishable products with environmental considerations and demand uncertainty (2015, methodology): “The age tracking approach ensures to distinguish products according to their shelf lives and has also been used in the literature for other logistics problems such as inventory problems (Haijema, 2013), and production and distribution problems (Rong et al., 2011; Van Elzakker et al., 2014).”
Challenges in perishable food supply chains for sustainability management: A developing economy perspective (2020, background): “(Gokarn and Kuthambalayan, 2017; Liu et al., 2018) Poor cold chain infrastructure (C12) Cold chain support is critical in PFSCs. Unavailability and poor cold chain support is a major cause of PHL and supply chain unsustainability in PFSC. (Gligor et al., 2018; Joshi et al., 2009; Kohli, 2012; NCCD, ”
Quality, safety and sustainability in food distribution: a review of quantitative operations management approaches and challenges (2010, background): “Finally, a recent contribution by Rong et al. (2009) presents a MILP approach for food production and distribution planning, explicitly modelling the quality change of products throughout the distribution network.”
Modelling food logistics networks with emission considerations: The case of an international beef supply chain (2014, background): “As pointed out in these studies, the number of proposed decision support tools which are able to control products according to their quality levels has been increasing in recent years (e.g. Bosona and Gebresenbet, 2011; Rong et al., 2011; Wang et al., 2010; Ahuja, 2007).”
Value-centric design of the internet-of-things solution for food supply chain: Value creation, sensor portfolio and information fusion (2012, positive): “…the recent solutions (Huang et al. 2006; Jones 2006; Kuck 2007; Hsu et al. 2008; Abad et al. 2009, Martínez-Sala et al. 2009, Carullo et al. 2009; Ruiz-Garcia et al. 2010, Sallabi et al. 2011, Qi et al. 2011, Rong et al. 2011; Hulstijn et al. 2011; Lao et al. 2012), above findings were confirmed.”