Science and Technology Production
Book Chapter
Authorship
Palacín, C.G.
;
Pitarch, J.L.
;
C. De Prada
;
MENDEZ, CARLOS ALBERTO
Date
2017
Publishing House and Editing Place
Elsevier
Book
Computer-Aided Chemical Engineering
(pp. 1411-1416)
Elsevier
Elsevier
ISBN
978-0-444-63965-3
Summary
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SIGEVA
This paper studies the network design for amulti-product, multi-echelon and multi-period closed-loop supply chain (CLSC)accounting for decisions on the manufacture of new products and remanufacturedversions of the new products. It is important to note that the design forremanufacture is taken into account in order to facilitate the productremanufacture and, thus, assures products and/or components value over time. Thiswork proposes a mathematical formulation to identify the optimal network andp...
This paper studies the network design for amulti-product, multi-echelon and multi-period closed-loop supply chain (CLSC)accounting for decisions on the manufacture of new products and remanufacturedversions of the new products. It is important to note that the design forremanufacture is taken into account in order to facilitate the productremanufacture and, thus, assures products and/or components value over time. Thiswork proposes a mathematical formulation to identify the optimal network andproduct design accounting for products life cycle while maximizing the totalnetwork profit. The developed approach determines a) the network design from ageneral network superstructure that includes raw material suppliers, factories,distribution centers, customer, collection centers, dismantlers, repairingcenters, final disposal locations and dismantling centers, b) the design fornew products and the design for remanufactured products, c) the selling pricesfor remanufactured products and d) the number of units of used products to betaken back. In addition, environmental aspects are addressed by modeling the CO2emissions. The effectiveness of the proposed formulation is shown using a casestudy from a European consumer goods company.
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Key Words
OptimizationEvaporation systems