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dc.date.accessioned 2020-02-20T13:06:00Z
dc.date.available 2020-02-20T13:06:00Z
dc.date.issued 2019
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/89429
dc.description.abstract This paper proposes an mixed-integer linear programming (MILP) model to accurately represent a product life-cycle design considering profit maximization. The model that takes into account the effects on the demand lev-el and a measure of the customer utility considering recycled raw materials and prices of the traditional and modular products. Demand functions for traditional and modular products are considered. Given the presence of bilinear terms in the formulation (for example due to the multiplication of product price for the demand), the multi-parametric disaggregation technique is used to obtain a line-ar model. The developed model is applied to a company that produces tradition-al carpets and it wants to manufacture carpets based on a new modular design where recycled materials must be incorporated. The objective of the company is to maximize the total profit taking into account the design specifications and the selling prices for traditional and modular carpets. In addition, the amount of square meters of traditional carpets must be determined and the take-back rate must be considered. The practical behavior of the formulation is analyzed through computational experiments exploring the analyzed case-study. en
dc.format.extent 51-63 es
dc.language en es
dc.subject Carpet recycling es
dc.subject Product design es
dc.subject Life-cycle es
dc.subject Linear mathematical programming es
dc.title Mixed-Integer Linear Programming Approach for Life-Cycle Carpet Profit en
dc.type Objeto de conferencia es
sedici.identifier.issn 2618-3277 es
sedici.creator.person Zeballos, Luis J. es
sedici.creator.person Bonino, Sergio G. es
sedici.creator.person Méndez, Carlos A. es
sedici.creator.person Barbosa Povoa, Ana P. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-sa/3.0/
sedici.date.exposure 2019-09
sedici.relation.event I Simposio Argentino de Informática Industrial e Investigación Operativa (SIIIO 2019) - JAIIO 48 (Salta) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)