An optimal ordering and recovery policy for reusable items

Koh, Shiegheun; Hwang, Hark; Sohn, Kwon-Ik; Ko, Chang Seong

doi:10.1016/s0360-8352(02)00062-1

Cited by 170 publications

(76 citation statements)

References 18 publications

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“…Gou et al (2008) developed a joint inventory model for a open-loop reverse supply chain and. Koh et al (2002) proposed an optimal ordering and recovery model for reusable items. Finally, Jonrinaldi and Zhang (2013) developed an integrated production and inventory decision in a whole green manufacturing supply chain involving reverse logistics with considering finite horizon period in the model.…”

Section: Introductionmentioning

confidence: 99%

An integrated production, inventory and transportation decision in a whole green manufacturing supply chain

Jonrinaldi

Zhang

2017

IJISE

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This paper proposes model to integrate production, inventory and transportation decision in a whole green manufacturing supply chain. The integration includes reuse and remanufacturing of returned used products. The manufacturing supply chain consists of tier-2 and tier-1 suppliers, a manufacturer, distributors, retailers and a third party. The manufacturer dissembles used products into parts. Reusable parts are remanufactured and reused again in finished products. A mathematical model is developed to coordinate production, inventory and transportation decision which considers multiple products simultaneously with determination of number of transportation units needed to deliver the finished products subject to their own capacities. Solution methods for the model are proposed based on three types of coordination mechanisms, decentralised, semi-centralised and centralised decision processes. The model and solution methods are illustrated with two numerical examples and results and findings are discussed.

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Section: Introductionmentioning

confidence: 99%

An integrated production, inventory and transportation decision in a whole green manufacturing supply chain

Jonrinaldi

Zhang

2017

IJISE

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“…Pohlen and Farris (1992), Stock (1998) and Limbke and Tibben (2002) developed provided various case studies on reverse logistics. Koh et al (2002) extended the work of Schrady (1967) considering finite repair expense. They assumed service rate to be less than or equal to demand rate.…”

Section: Introductionmentioning

confidence: 99%

Green supply chain inventory model for deteriorating items with variable demand under inflation

Rashid¹,

Rani

Agarwal

2017

IJBFMI

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Green supply chain increasingly gained interest in the last decade. What initially started as an effort to save environment has developed into a great business concept with increased profitability. Though various studies have been conducted in green supply chain, most of them have neglected the impact of deterioration and inflation. In this study, we develop an inventory model in green supply chain for deteriorating items considering recycling and reverse logistics taking inflation into account. It is assumed that remanufactured products will go to secondary market and have higher demand. Demand is assumed to be quadratic for remanufactured products while linear demand is followed for new products. Holding cost is assumed to be time dependent and deterioration is assumed to follow two-parameter Weibull distribution. The objective is to minimise total cost. Numerical and sensitivity analysis are carried out at the end of this paper.Keywords: green supply chain; GSC; deterioration; inflation; variable demand; reverse logistics; remanufacturing; Weibull distribution.Reference to this paper should be made as follows: Rani, S., Ali, R. and Agarwal, A. (2017) 'Green supply chain inventory model for deteriorating items with variable demand under inflation', Int.

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“…Khouja [2] formulated an economic lot-size and shipment policy by incorporating a fraction of defective items and direct rework. Koh et al [3] and Dobos and Richter [4] discussed two production policies with options to order new products externally or recover old products. Chiu et al [5] analyzed an imperfect rework process for EPQ model with repairable and scrapped items.…”

Section: Introductionmentioning

confidence: 99%

EPQ Model for Trended Demand with Rework and Random Preventive Machine Time

Shah

Patel²,

Shah

2013

ISRN Operations Research

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Economic production quantity (EPQ) inventory model for trended demand has been analyzed with rework facility and stochastic preventive machine time. Due to the complexity of the model, search method is proposed to determine the best optimal solution. A numerical example and sensitivity analysis are carried out to validate the proposed model. From the sensitivity analysis, it is observed that the rate of change of demand has significant impact on the optimal inventory cost. The model is very sensitive to the production and demand rate.

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An optimal ordering and recovery policy for reusable items

Cited by 170 publications

References 18 publications

An integrated production, inventory and transportation decision in a whole green manufacturing supply chain

An integrated production, inventory and transportation decision in a whole green manufacturing supply chain

Green supply chain inventory model for deteriorating items with variable demand under inflation

EPQ Model for Trended Demand with Rework and Random Preventive Machine Time

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