Mathematical Modeling for Risk Averse Firm Facing Loss Averse Customer’s Stochastic Uncertainty

Joint Authors

Lee, Jinpyo
Kim, Seungbeom
Park, Minjae

Source

Mathematical Problems in Engineering

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-04-11

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

To optimize the firm’s profit during a finite planning horizon, a dynamic programming model is used to make joint pricing and inventory replenishment decision assuming that customers are loss averse and the firm is risk averse.

We model the loss averse customer’s demand using the multinomial choice model.

In this choice model, we consider the acquisition and transition utilities widely used by a mental accounting theory which also incorporate the reference price and actual price.

Then, we show that there is an optimal inventory policy which is base-stock policy depending on the accumulated wealth in each period.

American Psychological Association (APA)

Kim, Seungbeom& Lee, Jinpyo& Park, Minjae. 2017. Mathematical Modeling for Risk Averse Firm Facing Loss Averse Customer’s Stochastic Uncertainty. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1191514

Modern Language Association (MLA)

Kim, Seungbeom…[et al.]. Mathematical Modeling for Risk Averse Firm Facing Loss Averse Customer’s Stochastic Uncertainty. Mathematical Problems in Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1191514

American Medical Association (AMA)

Kim, Seungbeom& Lee, Jinpyo& Park, Minjae. Mathematical Modeling for Risk Averse Firm Facing Loss Averse Customer’s Stochastic Uncertainty. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1191514

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1191514