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Optimal Control of Production and Remanufacturing in a Reverse Logistics Model with Backlogging
Author(s) -
Ioannis Konstantaras
Publication year - 2010
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2010/320913
Subject(s) - remanufacturing , reverse logistics , product (mathematics) , production (economics) , point (geometry) , economic order quantity , computer science , holding cost , inventory control , constant (computer programming) , operations research , control (management) , set (abstract data type) , production rate , field (mathematics) , operations management , manufacturing engineering , business , mathematics , engineering , supply chain , economics , marketing , geometry , artificial intelligence , pure mathematics , macroeconomics , programming language
Reverse logistics activities have received increasing attention within logistics and operations management during the last years, both from a theoretical and a practical point of view. The field of reverse logistics includes all logistics processes starting with the take-back of used products from customers up to the stage of making them reusable products or disposing them. In this paper, a single-product recovery system is studied. In such system, used products are collected from customers and are kept at the recoverable inventory warehouse in view to be recovered. The constant demand rate can be satisfied either by newly produced products or by recovered ones (serviceable inventory), which are regarded as perfectly as the new ones. Excess demand is completely backlogged. Following an exact analytical approach, the optimal set-up numbers and the optimal lot sizes for the production of new products and for the recovery of returned products are obtained. A numerical cost comparison of this model with the corresponding one without backordering is also performed

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