The inventory routing problem under uncertainty with perishable products: an application in the agri-food supply chain

Abstract

Soft Computing 2020 DOI (link to publisher) 10.1007/s00500-019-04497-z document version Publisher's PDF, also known as Version of record document license Article 25fa Dutch Copyright Act Link to publication in VU Research Portal citation for published version (APA) Violi, A., Laganá, D., & Paradiso, R. ( 2020). The inventory routing problem under uncertainty with perishable products: an application in the agri-food supply chain.

Optimization strategies for the integrated management of perishable supply chains: A literature review

“…In some cases, production, inventory, and distribution/transportation costs are jointly minimized (AriaNezhad et al, 2013;Seyedhosseini & Ghoreyshi, 2014a, 2014bSeyedhosseini & Ghoreyshi, 2015;Shaabani & Kamalabadi, 2016;Dolgui et al, 2018;Qiu et al, 2019;Wei et al, 2020;Manoucheri et al, 2020;Sinha & Anand, 2020;Dai et al, 2020). When dealing with perishable supply chains, it is common to find cost items associated with the perishable nature of goods: cost of perished goods (AriaNezhad et al, 2013;Chao et al, 2019), cost of waste (Soysal et al, 2015;Rafie-Majd et al, 2018;Soysal et al, 2018), cost of spoilage (Azadeh et al, 2017), disposal cost (Accorsi et al, 2017), cost of deteriorated units (i.e., lost sales) (Mirzaei & Seifi, 2015;Dolgui et al, 2018;Sinha & Anand, 2020;Violi et al, 2020). Two papers minimize the makespan (Lacomme et al, 2018;Bank et al, 2020).…”

“…The cost of ordering has been written in the third column of Table 9, only when explicitly considered; in fact, in many cases, it is implicitly included into the inventory costs. Only one paper introduces a risk measure within the objective function (Violi et al, 2020). They give a mean-risk structure to the objective, that is written as a convex combination of two terms: the expected value of the overall costs and a risk measure, that is the conditional value at risk (CVaR) (Rockafellar & Uryasev, 2000).…”

“…Most papers propose a fixed decay rate, which implies a linear deterioration of the product quality (Chen, 2009;Ahumada & Villalobos, 2011a;Ahumada et al, 2012;Farahani et al, 2012;Rohmer et al, 2019;Violi et al, 2020;Dai et al, 2020). It must be noted that Chao et al (2019) take into account both the deterioration due to the transport time and that due to a break during the transportation process (e.g., turning on/off frequently the door of a truck).…”

“…In the previous subsections, the most used approaches to solve the problems addressed within this literature review have been highlighted. However, other important algorithms have been recently adopted: local search (Viergutz & Knust, 2014;Vahdani et al, 2017;Hu et al, 2018;Onggo et al, 2019), lagrangian relaxation (Shaabani & Kamalabadi, 2016;Rafie-Majd et al, 2018), matheuristic algorithms (Crama et al, 2018;Neves-Moreira et al, 2019;Li et al, 2020), Ant Colony Optimization (ACO) (Chao et al, 2019), rolling horizon (Neves-Moreira et al, 2019;Violi et al, 2020), BFA (Sinha & Anand, 2020), simulation (Soysal et al, 2015;Onggo et al, 2019), column-generation based algorithms (Le et al, 2013;Wu et al, 2015;Diabat et al, 2016).…”

“…Soysal et al (2018) prove the benefits of horizontal collaboration between two real suppliers, which produce figs and cherries, respectively. The data used by Violi et al (2020) come from an Italian supply chain, where a medium agri-food company supplies tangerines to a set of retailers.…”