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Sort articles by: Volume | Date | Most Rates | Most Views | Reviews | Alphabet
1.

An EPQ model with trapezoidal demand under volume flexibility Pages 127-138 Right click to download the paper Download PDF

Authors: Himani Dem, S.R. Singh, Jitendra Kumar

DOI: 10.5267/j.ijiec.2013.09.002

Keywords: Production, Trapezoidal demand, Volume flexibility

Abstract:
In this paper, we explored an economic production quantity model (EPQ) model for finite production rate and deteriorating items with time-dependent trapezoidal demand. The objective of the model under study is to determine the optimal production run-time as well as the number of production cycle in order to maximize the profit. Numerical example is also given to illustrate the model and sensitivity analyses regarding various parameters are performed to study their effects on the optimal policy.
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Journal: IJIEC | Year: 2014 | Volume: 5 | Issue: 1 | Views: 2878 | Reviews: 0

 
2.

Two-warehouse production policy for different demands under volume flexibility Pages 599-609 Right click to download the paper Download PDF

Authors: Sanjay Sharma, S.R. Singh, Himani Dem

DOI: 10.5267/j.ijiec.2013.06.005

Keywords: Constant and price varying demands, Two-warehouse, Volume flexibility

Abstract:
In this paper, an inventory model of two-warehouse is considered, which evaluates the impact of a reduction rate in the selling price with volume flexibility. In real life, there are many products, which may decay or deteriorate or become obsolete. Therefore, one alternative is to clear the stock by selling a large amount of items at reduced prices. Taking this concept into account, this paper considers a fixed demand rate at the beginning of planning until the certain time point occurs, while demand is assumed to follow the pattern of nonlinear and non-decreasing power function of the reduction rate. The total cost function includes warehouse and rented warehouse holding costs, set up cost and the production cost. Numerical illustrations are given to exemplify the model and the proposed model is solved using a Genetic Algorithm (GA) with sensitivity analysis.
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Journal: IJIEC | Year: 2013 | Volume: 4 | Issue: 4 | Views: 2170 | Reviews: 0

 

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