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Demand Forecasting, Economic Order Quantity and Inventory Costs Calculation of a Company Producing Solar Panels

Vol 4 , Issue 2 , April - June 2016 | Pages: 96-99 | Research Paper  

https://doi.org/10.51976/ijari.421615

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Author Details ( * ) denotes Corresponding author

1. * Kartik Gupta, Department of Mechanical, Production and Automobile Engineering, Delhi Technological University, Delhi, India (kartik12345@gmail.com)
2. Puneet Bhatia, Department of Mechanical, Production and Automobile Engineering, Delhi Technological University, Delhi, India
3. Rishabh Dua, Department of Mechanical, Production and Automobile Engineering,, Delhi Technological University, Delhi, India

Forecasting accuracy drives the performance of inventory management. This study involves forecasting the sales of PV modules of a solar panel manufacturing company by demand forecasting methods including regression and exponential smoothing models. Demand forecasted is used to control inventory, minimize cost of ordering and holding inventory. The model should propose a viable economic order quantity which reduces the total cost of the plan.

Keywords

Forecasting; Economic Order Quantity; Inventory Cost


  1. Mathew, A., Somasekaran, E. M., and Joseph, J., ", Demand Forecasting For Economic Order Quantity in Inventory Management ", International Journal of Scientific and Research Publications, 3, 10, October 2013.

  2. Verma, B., Ganeshprasad, P., and Sharath, R., “Polysilicon Manufacturing in India: Go or No-Go ", in CSTEP Bangalore, India.

  3. JA Solar Annual Report. 2015

  4. http://www.madehow.com/Volume-1/Solar-Cell.

  5. Kumar, P., Industrial engineering and management, Pearson Publications, 2015.

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