| dc.creator | Fumero, Yanina | |
| dc.creator | Corsano, Gabriela | |
| dc.creator | Montagna, Jorge Marcelo | |
| dc.date | 2018-09-10T13:09:36Z | |
| dc.date | 2018-09-10T13:09:36Z | |
| dc.date | 2014 | |
| dc.date.accessioned | 2023-08-31T14:01:36Z | |
| dc.date.available | 2023-08-31T14:01:36Z | |
| dc.identifier | Fumero, Y., Corsano, G. & Montagna, J.M. Ann Oper Res (2017) 258: 415. https://doi.org/10.1007/s10479-016-2301-6 | |
| dc.identifier | 0254-5330 | |
| dc.identifier | http://hdl.handle.net/20.500.12272/3092 | |
| dc.identifier | https://doi.org/10.1007/s10479-016-2301-6 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8545490 | |
| dc.description | A mixed integer linear programming for the detailed production planning of multiproduct batch plants is
proposed in this work. New timing decisions are incorporated to the model taking into account that an
operation mode based in campaigns is adopted. For plants operating in a regular fashion along a time
horizon, this operation mode assures a more efficient production management. In addition, sequencedependent
changeover times and different unit sizes for parallel units in each stage are considered. Given
the plant configuration and unit sizes, the total amount of each product to be produced and the product
recipes, the proposed model determines the number of batches that compose the production campaign and
their sizes, the assignment and sequencing of batches in each unit, and the timing of batches in each unit
in order to minimize the campaign cycle time. The proposed model provides a useful tool for solving the
optimal campaign planning of installed facilities. | |
| dc.description | Fil: CONICET – UTN; INGAR, Instituto de Desarrollo y Diseño; Argentina | |
| dc.description | Peer Reviewed | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.language | eng | |
| dc.relation | PID:25/O152: "Integración de sistemas soporte de decisión para la gestión óptima de la cadena de suministros utilizando sistemas empresariales" | |
| dc.relation | C. T. Maravelias. General framework and modeling approach classification for chemical production scheduling.
AIChE Journal 2012, 58(6): 1812-1828, 2012. | |
| dc.relation | D. Birewar and I. E. Grossmann. Incorporating scheduling in the optimal design of multiproduct batch plants.
Computers and Chemical Engineering, 13, 141-161, 1989 | |
| dc.relation | V.T. Voudouris, I.E. Grossmann. Mixed-Integer Linear Programming Reformulations for Batch Process Design
with Discrete Equipment Sizes. Ind. Eng. Chem. Res. 1992,31, 1315-1325 | |
| dc.relation | Y. Fumero, G. Corsano, J. M. Montagna. Scheduling of multistage multiproduct batch plants operating in a
campaign-mode. Industrial Engineering and Chemical Research, 5: 3988−4001, 2012. | |
| dc.relation | Y. Fumero, G. Corsano, J. M. Montagna. Detailed Design of Multiproduct Batch Plants Considering Prodction
Scheduling. Industrial Engineering and Chemical Research, 50 (10), 6146-6160, 2011. | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | http://creativecommons.org/publicdomain/zero/1.0/ | |
| dc.rights | Autorizo la publicación de la obra, desde si aprobación/presentación | |
| dc.rights | CC0 1.0 Universal | |
| dc.subject | multiproduct batch plants | |
| dc.subject | production campaign | |
| dc.subject | planning | |
| dc.subject | scheduling | |
| dc.subject | MILP model | |
| dc.title | An MILP model for planning of batch plants operating in a campaign- mode | |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dc.type | info:eu-repo/semantics/acceptedVersion | |
| dc.type | docunento de conferencia | |
