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Mathematical Decision Model for Reverse Supply Chains Inventory
Author(s) -
Luminița Duță,
Constantin-Bălă Zamfirescu,
Florin Gheorghe Filip
Publication year - 2014
Publication title -
international journal of computers communications and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.422
H-Index - 33
eISSN - 1841-9844
pISSN - 1841-9836
DOI - 10.15837/ijccc.2014.6.1473
Subject(s) - supply chain , inventory theory , inventory management , lead time , computer science , operations research , safety stock , stock (firearms) , quality (philosophy) , decision model , perpetual inventory , operations management , business , economics , mathematics , marketing , mechanical engineering , philosophy , epistemology , machine learning , engineering
In the reverse supply chain inventory theory, inventory models are concerned with the demand of reusable parts, stock replenishment, ordering cycle, delivery lead time, number of disassembled products, ordering costs. The particularity of these models consists in the occurrence of high uncertainties of the quantity and quality of the returned products and resulting parts. To overcome the problem, an inventory model that incorporates decision variables at proactive and reactive levels is derived and discussed in this paper.

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