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Teng, J.T., Chang, H.J., Dye, C.Y. and Hung, C.H. (2002) An Optimal Replenishment Policy for Deteriorating Items with Time-Varying Demand and Partial Back-Logging. Operations Research Letters, 30, 387-393.
http://dx.doi.org/10.1016/S0167-6377(02)00150-5

has been cited by the following article:

• TITLE: Mitigation of High-Tech Products with Probabilistic Deterioration and Inflations

  AUTHORS: Biswajit Sarkar, Bimal Kumar Sett, Adrijit Goswami, Sumon Sarkar

  KEYWORDS: Ramp-Type Demand, Stock-Dependent Consumption Rate, Partial Backorder, Inflation, Probabilistic Deterioration

  JOURNAL NAME: American Journal of Industrial and Business Management, Vol.5 No.3, March 5, 2015

  ABSTRACT: This paper describes a deteriorating inventory model with ramp-type demand pattern under stock-dependent consumption rate. The deterioration of the product is considered as probabilistic to make the research a more realistic one. The proposed model assumes partially backorder rate which follows a negative exponential with the waiting time. The effect of inflation and time value of money are incorporated into the model. The purpose of this study is to develop an optimal replenishment policy so that the total profit is maximized. We provide a simple solution procedure to obtain the optimal solutions. Numerical examples along with graphical representations are provided to illustrate the model. Sensitivity analysis of the optimal solution with respect to key parameters of the model has been carried out and the implications are discussed.