Optimal Control of a Remanufacturing System with Consideration for Product Life Cycle

Kenichi Nakashima; Surendra M. Gupta

doi:10.1117/12.516760

Optimal Control of a Remanufacturing System with Consideration for Product Life Cycle

Kenichi Nakashima^*, Surendra M. Gupta

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

This paper deals with the cost management problem of a remanufacturing system with stochastic variability in the demand rate, the remanufacturing rate and the discard rate. We consider two types of inventories. One is the actual product inventory in the factory while the other is the virtual inventory that is still in use by the consumers. The state of the remanufacturing system is defined by considering the levels of both inventories. The cost function is composed of various costs such as the holding cost, backlogging cost and other manufacturing costs. We obtain the optimal production policy that minimizes the expected average cost per period. Numerical results provide insights on the effects of the various costs on the optimal policy.

Original language	English
Pages (from-to)	15-19
Number of pages	5
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5262
DOIs	https://doi.org/10.1117/12.516760
Publication status	Published - 2004 May 10
Externally published	Yes
Event	Environmentally Conscious Manufacturing III - Providence, RI., United States Duration: 2003 Oct 29 → 2003 Oct 30

Keywords

Optimal Control
Product Life Cycle
Remanufacturing Systems

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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title = "Optimal Control of a Remanufacturing System with Consideration for Product Life Cycle",

abstract = "This paper deals with the cost management problem of a remanufacturing system with stochastic variability in the demand rate, the remanufacturing rate and the discard rate. We consider two types of inventories. One is the actual product inventory in the factory while the other is the virtual inventory that is still in use by the consumers. The state of the remanufacturing system is defined by considering the levels of both inventories. The cost function is composed of various costs such as the holding cost, backlogging cost and other manufacturing costs. We obtain the optimal production policy that minimizes the expected average cost per period. Numerical results provide insights on the effects of the various costs on the optimal policy.",

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AU - Nakashima, Kenichi

AU - Gupta, Surendra M.

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N2 - This paper deals with the cost management problem of a remanufacturing system with stochastic variability in the demand rate, the remanufacturing rate and the discard rate. We consider two types of inventories. One is the actual product inventory in the factory while the other is the virtual inventory that is still in use by the consumers. The state of the remanufacturing system is defined by considering the levels of both inventories. The cost function is composed of various costs such as the holding cost, backlogging cost and other manufacturing costs. We obtain the optimal production policy that minimizes the expected average cost per period. Numerical results provide insights on the effects of the various costs on the optimal policy.

AB - This paper deals with the cost management problem of a remanufacturing system with stochastic variability in the demand rate, the remanufacturing rate and the discard rate. We consider two types of inventories. One is the actual product inventory in the factory while the other is the virtual inventory that is still in use by the consumers. The state of the remanufacturing system is defined by considering the levels of both inventories. The cost function is composed of various costs such as the holding cost, backlogging cost and other manufacturing costs. We obtain the optimal production policy that minimizes the expected average cost per period. Numerical results provide insights on the effects of the various costs on the optimal policy.

KW - Optimal Control

KW - Product Life Cycle

KW - Remanufacturing Systems

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T2 - Environmentally Conscious Manufacturing III

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ER -

Optimal Control of a Remanufacturing System with Consideration for Product Life Cycle

Abstract

Keywords

ASJC Scopus subject areas

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