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- W2558333270 abstract "Gleaning programs organize volunteer gleaners to harvest leftover crops that are donated by farmers for the purpose of feeding food-insecure individuals. Thus, the gleaning process simultaneously reduces food waste and food insecurity. However, the operationalization of this process is challenging because gleaning relies on two uncertain sources of input: the food and labor supplies. The purpose of this paper is to increase the volume of fresh food gleaned by better managing the uncertainties in the gleaning operation. We develop a model to capture the uncertainties in food and labor supplies and seek a dynamic volunteer staffing policy that maximizes the long run average volume of food gleaned. The exact analysis of the staffing problem seems intractable. Therefore, we resort to an approximation in the heavy traffic regime. In that regime, we characterize the system dynamics of the gleaning operation and derive the optimal staffing policy in closed form. The optimal policy is a nested threshold policy that depends on the number of available gleaners and the backlog of gleaning donations. A numerical study using data calibrated from a gleaning organization in the Boston area shows that the dynamic staffing policy we propose can make meaningful improvements to gleaning output over a static policy. To achieve these improvements, no capital or major process changes would be required - only some small changes to the staffing level requests." @default.
- W2558333270 created "2016-12-08" @default.
- W2558333270 creator A5030419638 @default.
- W2558333270 creator A5059750931 @default.
- W2558333270 creator A5080603447 @default.
- W2558333270 date "2016-01-01" @default.
- W2558333270 modified "2023-10-18" @default.
- W2558333270 title "Dynamic Staffing of Volunteer Gleaning Operations" @default.
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- W2558333270 cites W1591372412 @default.
- W2558333270 cites W16083219 @default.
- W2558333270 cites W1833398026 @default.
- W2558333270 cites W1964119131 @default.
- W2558333270 cites W1972400284 @default.
- W2558333270 cites W1973475064 @default.
- W2558333270 cites W1973643330 @default.
- W2558333270 cites W1974423033 @default.
- W2558333270 cites W1974518363 @default.
- W2558333270 cites W1976372114 @default.
- W2558333270 cites W1978016577 @default.
- W2558333270 cites W1979230868 @default.
- W2558333270 cites W1979500760 @default.
- W2558333270 cites W1986370907 @default.
- W2558333270 cites W1987222495 @default.
- W2558333270 cites W1995173419 @default.
- W2558333270 cites W1999050594 @default.
- W2558333270 cites W1999371327 @default.
- W2558333270 cites W2002216030 @default.
- W2558333270 cites W2008936765 @default.
- W2558333270 cites W2011786610 @default.
- W2558333270 cites W2012051100 @default.
- W2558333270 cites W2017478943 @default.
- W2558333270 cites W2023168491 @default.
- W2558333270 cites W2028783650 @default.
- W2558333270 cites W2028817558 @default.
- W2558333270 cites W2029507938 @default.
- W2558333270 cites W2029627323 @default.
- W2558333270 cites W2032895205 @default.
- W2558333270 cites W2036997574 @default.
- W2558333270 cites W2041883818 @default.
- W2558333270 cites W2043263408 @default.
- W2558333270 cites W2051642345 @default.
- W2558333270 cites W2059915921 @default.
- W2558333270 cites W2063702404 @default.
- W2558333270 cites W2075147912 @default.
- W2558333270 cites W2075650258 @default.
- W2558333270 cites W2077267889 @default.
- W2558333270 cites W2078492968 @default.
- W2558333270 cites W2080011842 @default.
- W2558333270 cites W2081315923 @default.
- W2558333270 cites W2083699793 @default.
- W2558333270 cites W2086275676 @default.
- W2558333270 cites W2086509942 @default.
- W2558333270 cites W2087644433 @default.
- W2558333270 cites W2102141799 @default.
- W2558333270 cites W2105496559 @default.
- W2558333270 cites W2106420639 @default.
- W2558333270 cites W2106935862 @default.
- W2558333270 cites W2108252519 @default.
- W2558333270 cites W2110185019 @default.
- W2558333270 cites W2120729415 @default.
- W2558333270 cites W2126106936 @default.
- W2558333270 cites W2132127784 @default.
- W2558333270 cites W2139457845 @default.
- W2558333270 cites W2143793200 @default.
- W2558333270 cites W2147108305 @default.
- W2558333270 cites W2148195074 @default.
- W2558333270 cites W2150416324 @default.
- W2558333270 cites W2154473580 @default.
- W2558333270 cites W2155770202 @default.
- W2558333270 cites W2156204251 @default.
- W2558333270 cites W2166239211 @default.
- W2558333270 cites W2254128562 @default.
- W2558333270 cites W2269619180 @default.
- W2558333270 cites W2408920654 @default.
- W2558333270 cites W2802739963 @default.
- W2558333270 cites W3026638561 @default.
- W2558333270 cites W3102433272 @default.
- W2558333270 cites W3125143580 @default.
- W2558333270 cites W320730744 @default.
- W2558333270 cites W4232548037 @default.
- W2558333270 cites W4237172280 @default.
- W2558333270 cites W4241888696 @default.
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- W2558333270 doi "https://doi.org/10.2139/ssrn.2873250" @default.
- W2558333270 hasPublicationYear "2016" @default.
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