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Growing Science » Tags cloud » Exponential demand rate

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

A new model for deteriorating items with inflation under permissible delay in payments Pages 365-374 Right click to download the paper Download PDF

Authors: R.P. Tripathi, Manoj Kumar

DOI: 10.5267/j.ijiec.2014.4.006

Keywords: Deterioration rate, Exponential demand rate, Inflation, Inventory model

Abstract:
Inflation is an important factor influencing traditional economic order quality models. Marketing strategy depends on inflation due to public demand and availability of the materials. This paper presents an optimal inventory policy for deteriorating items using exponential demand rate under permissible delay in payments. Mathematical model has been derived under two cases: case I: cycle time is greater than or equal to permissible delay period, case II: cycle time is less than permissible delay period by considering holding cost as a function of time. Numerical examples and sensitivity analysis are given to reflect the numerical results. Mathematica software is used for finding optimal solutions.
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Journal: IJIEC | Year: 2014 | Volume: 5 | Issue: 3 | Views: 2266 | Reviews: 0

 
2.

A reverse logistic inventory model for imperfect production process with preservation technology investment under learning and inflationary environment Pages 107-122 Right click to download the paper Download PDF

Authors: Preeti Jawla, S. R. Singh

DOI: 10.5267/j.uscm.2015.12.001

Keywords: Exponential demand rate, Exponential holding cost, Imperfect production, Inflation, Learning, Multi-items, Preservation, Reverse logistics

Abstract:
This paper presents a unified multi items general inventory model for integrated production of new items and remanufacturing of returned and defected items for a finite planning horizon. In this paper, a production model that takes into account learning, instantaneous deterioration rate and inflation is proposed. In addition, we also consider that the holding cost is a non-negative, non-decreasing and continuous function of time. In this model, the preservation technology is used to reduce the rate of product deterioration. A theory is developed to find the optimal solution of the proposed model; it is then exemplified with the help of several numerical examples. An efficient solution procedure is also provided to find the optimal strategy. Finally, sensitivity of the optimal solution to changes in the values of different parameters of the system and the convexities of the cost functions are also studied and represented through the graphs.
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Journal: USCM | Year: 2016 | Volume: 4 | Issue: 2 | Views: 2658 | Reviews: 0

 
3.

Integrated production inventory model: multi-item, multiple suppliers and retailers, exponential demand rate Pages 213-224 Right click to download the paper Download PDF

Authors: R. Raj, N.K. Kaliraman, S. Chandra, H. Chaudhry

DOI: 10.5267/j.uscm.2015.4.003

Keywords: Exponential demand rate, Integrated, Multiple items, Production

Abstract:
In this paper, an integrated production-inventory model with multi-item is developed from the perspectives of single producer, multiple suppliers and retailers. In this three-layer supply chain, the retailers are non-competing. Every supplier delivers only single type of raw material to the producer. The producer manufactures finished goods from the combination of fixed percentage of different types of raw materials. The producer manufactures various types of objects and supplies them to retailers according to the demand of multiple retailers. This paper studies the impact of different types of business policies such as exponential demand rate, demand dependent production rate, optimum order size of raw materials, and unit production cost at each stage of integrated marketing system. Mathematica is used to develop the model and to optimize the integrated profit function. A numerical example and sensitivity analysis is illustrated to justify the feasibility of the proposed model.
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Journal: USCM | Year: 2015 | Volume: 3 | Issue: 3 | Views: 2122 | Reviews: 0

 

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