TY - JOUR
T1 - Dynamic optimisation of price, warranty length and production rate
AU - Lin, Pei Chun
AU - Wang, Jenhung
AU - Chin, Shiao Shan
N1 - Funding Information:
The author gratefully acknowledges the helpful comments of the editor, the associated editor and the reviewers who provided valuable input and comments that have contributed to improving the content and exposition of this article. This work was supported in part by the National Science Council of the Republic of China in Taiwan under grants NSC 93-2213-E-327-011.
PY - 2009/4
Y1 - 2009/4
N2 - This study investigates a marketing and production problem that uses price, warranty length and production rate as simultaneous dynamic decision variables. Furthermore, this study was conducted under a policy of free replacement of defective items; and under conditions where demand was dynamic and dependent on price, warranty and cumulative sales. A continuous profit maximisation model was formulated, which first considers the expected warranty cost per item. Then, it considers the steps for dynamic optimisation, which eventually derive the optimal price, warranty length and production rate. Discretisation was then applied to the profit maximisation model and a digital computer was used to identify the optimal control paths, obtaining a finite solution that is a set of real numbers for practical application. A model-driven Decision Support System is finally established, which provides a graphical user interface for overcoming the complexity of the analytical process. Subsequently, the proposed system was tested and the analytical solution was verified using several demand functions for additive lifetime distributions, thereby demonstrating the system's effectiveness.
AB - This study investigates a marketing and production problem that uses price, warranty length and production rate as simultaneous dynamic decision variables. Furthermore, this study was conducted under a policy of free replacement of defective items; and under conditions where demand was dynamic and dependent on price, warranty and cumulative sales. A continuous profit maximisation model was formulated, which first considers the expected warranty cost per item. Then, it considers the steps for dynamic optimisation, which eventually derive the optimal price, warranty length and production rate. Discretisation was then applied to the profit maximisation model and a digital computer was used to identify the optimal control paths, obtaining a finite solution that is a set of real numbers for practical application. A model-driven Decision Support System is finally established, which provides a graphical user interface for overcoming the complexity of the analytical process. Subsequently, the proposed system was tested and the analytical solution was verified using several demand functions for additive lifetime distributions, thereby demonstrating the system's effectiveness.
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U2 - 10.1080/00207720802556229
DO - 10.1080/00207720802556229
M3 - Article
AN - SCOPUS:67651236539
SN - 0020-7721
VL - 40
SP - 411
EP - 420
JO - International Journal of Systems Science
JF - International Journal of Systems Science
IS - 4
ER -