2016
DOI: 10.1016/j.ejor.2016.04.045
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Pareto improvement and joint cash management optimisation for banks and cash-in-transit firms

Abstract: Available online xxx Keywords:OR in banking Cash-management Group decisions and negotiations Supply chain management a b s t r a c t Improving the ATM cash management techniques of banks has already received significant attention in the literature as a separate optimisation problem for banks and the independent firms that supply cash to automated teller machines. This article concentrates instead on a further possibility of cost reduction: optimising the cash management problem as one single problem. Doing so,… Show more

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Cited by 13 publications
(3 citation statements)
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“…In Automatic Teller Machine (ATM) servicing, researchers have explored several paths to predict the supply of cash availability in these machines and optimize operations [11][12][13][14][15][16][17][18][19].…”
Section: Methodsmentioning
confidence: 99%
“…In Automatic Teller Machine (ATM) servicing, researchers have explored several paths to predict the supply of cash availability in these machines and optimize operations [11][12][13][14][15][16][17][18][19].…”
Section: Methodsmentioning
confidence: 99%
“…Ekinci, Lu, & Duman (2015) integrated the results of their forecasts with a cash replenishment optimization model to determine the amount of cash and trucking logistics schedules necessary for replenishing cash in all of the ATMs. Agoston, Benedek, & Gilanyi (2016) defined the cash management problem as a single problem by incorporating the cash optimization problem of the bank into the cash optimization problem of the CIT firms. To reduce the overall cash management costs, including transportation costs and interest costs, the researchers defined a joint optimization model using contractual prices between banks and the CIT firms.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Regarding real-world scenarios, the literature is notably limited. Although there are certain models, such as (Ekinci, Lu, & Duman, 2015), (Agoston, Benedek, & Gilanyi, 2016), (Lazaro, Jimenez, & Takeda, 2018) and (Osorio & Toro, 2012), that test the applicability of the model on a real network of an existing bank with the historical data, they do not present the actual results of the application of the models. For example, Lazaro, Jimenez, & Takeda (2018) used four years of branch level historical data from a national bank on a daily basis.…”
Section: Literature Reviewmentioning
confidence: 99%