Works matching IS 02545330 AND DT 2020 AND VI 287 AND IP 1
Results: 22
Assessing the supply chain performance: a causal analysis.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 37, doi. 10.1007/s10479-019-03457-y
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Leagile supplier selection in Chinese textile industries: a DEMATEL approach.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 303, doi. 10.1007/s10479-019-03453-2
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On fractional continuous weighted OWA (FCWOWA) operator with applications.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 1, doi. 10.1007/s10479-019-03450-5
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A unified extension of super-efficiency in additive data envelopment analysis with integer-valued inputs and outputs: an application to a municipal bus system.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 515, doi. 10.1007/s10479-019-03448-z
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Improving the discrimination power with a new multi-criteria data envelopment model.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 127, doi. 10.1007/s10479-019-03446-1
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An exact approach for the Minimum-Cost Bounded-Error Calibration Tree problem.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 109, doi. 10.1007/s10479-019-03443-4
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A meta-frontier network data envelopment analysis approach for the measurement of technological bias with network production structure.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 495, doi. 10.1007/s10479-019-03436-3
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Innovative maintenance problem in a two-stage production-inventory system with imperfect processes.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 379, doi. 10.1007/s10479-019-03423-8
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Analysis of batch Bernoulli process subject to discrete-time renewal generated binomial catastrophes.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 257, doi. 10.1007/s10479-019-03410-z
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New dualities for mathematical programs with vanishing constraints.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 233, doi. 10.1007/s10479-019-03409-6
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Binary-state line assignment optimization to maximize the reliability of an information network under time and budget constraints.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 439, doi. 10.1007/s10479-019-03405-w
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Logical analysis of multiclass data with relaxed patterns.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 11, doi. 10.1007/s10479-019-03389-7
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Risk-aversion information in a supply chain with price and warranty competition.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 61, doi. 10.1007/s10479-019-03386-w
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Joint maintenance and just-in-time spare parts provisioning policy for a multi-unit production system.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 351, doi. 10.1007/s10479-019-03371-3
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Inventory ordering policies for mixed sale of products under inspection policy, multiple prepayment, partial trade credit, payments linked to order quantity and full backordering.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 403, doi. 10.1007/s10479-019-03369-x
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Price and cold-chain service decisions versus integration in a fresh agri-product supply chain with competing retailers.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 465, doi. 10.1007/s10479-019-03368-y
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Convexity of Bertrand oligopoly TU-games with differentiated products.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 285, doi. 10.1007/s10479-019-03351-7
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A basin-wide approach for water allocation and dams location-allocation.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 323, doi. 10.1007/s10479-019-03345-5
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Biologically Inspired Parent Selection in Genetic Algorithms.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 161, doi. 10.1007/s10479-019-03343-7
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Goal programming approach for political districting in Santa Catarina State: Brazil.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 209, doi. 10.1007/s10479-019-03295-y
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Optimal collection of medical specimens and delivery to central laboratory.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 537, doi. 10.1007/s10479-019-03260-9
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A new proposal to improve the early iterations in the interior point method.
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- Annals of Operations Research, 2020, v. 287, n. 1, p. 185, doi. 10.1007/s10479-019-03254-7
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