2017
DOI: 10.1016/j.apm.2017.04.037
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Mathematical modelling of the order-promising process for fruit supply chains considering the perishability and subtypes of products

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Cited by 46 publications
(42 citation statements)
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“…The third category of constraints (7)(8)(9)(10)(11)(12)(13)(14)(15) is related to the planning structure for agriculture models. The cutting down and replanting of new varieties has been modeled in Catalá [10] for a case study on apple and pear trees.…”
Section: -Plantation Age Class Balancementioning
confidence: 99%
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“…The third category of constraints (7)(8)(9)(10)(11)(12)(13)(14)(15) is related to the planning structure for agriculture models. The cutting down and replanting of new varieties has been modeled in Catalá [10] for a case study on apple and pear trees.…”
Section: -Plantation Age Class Balancementioning
confidence: 99%
“…There are several articles in the literature related to FFSCs with many different approaches or methods that could support optimization of a part or the whole chain. The deterministic approach is a very common and often used in the FFSC research; formulations are based on both linear programming [2][3][4][5][6][7] and mixed integer programming [8][9][10][11][12][13][14][15][16][17].…”
mentioning
confidence: 99%
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“…This makes the transportation planning more complex and more challenging. Third, distribution planning of the food products is often linked to customers' preferences and satisfactions [36]. In real life, the fresher the products, the higher the price.…”
Section: Transportation Planning For Perishable Productsmentioning
confidence: 99%
“…In addition to the impacts of quality, safety, and transportation modes, Grillo et al [36] proposed a mixed integer mathematical programming model to study an order promising process in fruit supply chains with subtypes of products considering various natural factors, such as land, weather, or harvesting time. Bilgen and Günther [43] studied an integrated problem for production and distribution planning.…”
Section: Transportation Planning Considering Various Factorsmentioning
confidence: 99%