TY - JOUR
T1 - The ramification of dynamic investment on the promotion and preservation technology for inventory management through a modified flower pollination algorithm
AU - Saha, Subrata
AU - Chatterjee, Debajyoti
AU - Sarkar, Biswajit
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2021/1
Y1 - 2021/1
N2 - The dynamic rate of investment in promotion during different price-ranges and the optimum investment in preservation technology are developed for seasonable or fashionable products through their lifespan. An order level inventory model for deteriorating items with promotional price and trapezoidal-type demand rate is used to maximize the profit of a retailer. The deterioration rate is dependent on the preservation technology i.e., more investment in preservation reduces the rate of deterioration. The aim of this study is to obtain the optimum dynamic investment for the promotion. The optimal control theory is employed to obtain the dynamic investment rates. A modified flower pollination Algorithm is applied to find the optimal pricing scheme, preservation technology investment, and replenishment schedule. An illustrated algorithm based numerical experiment is conducted to validate the dynamic behaviour of the investment. Sensitivity analysis has been carried out with respect to the major parameters to prove the novelty of the algorithm and explored the managerial insights of the proposed model. Numerical studies obtain that dynamical investment is really beneficial for the management of stocks.
AB - The dynamic rate of investment in promotion during different price-ranges and the optimum investment in preservation technology are developed for seasonable or fashionable products through their lifespan. An order level inventory model for deteriorating items with promotional price and trapezoidal-type demand rate is used to maximize the profit of a retailer. The deterioration rate is dependent on the preservation technology i.e., more investment in preservation reduces the rate of deterioration. The aim of this study is to obtain the optimum dynamic investment for the promotion. The optimal control theory is employed to obtain the dynamic investment rates. A modified flower pollination Algorithm is applied to find the optimal pricing scheme, preservation technology investment, and replenishment schedule. An illustrated algorithm based numerical experiment is conducted to validate the dynamic behaviour of the investment. Sensitivity analysis has been carried out with respect to the major parameters to prove the novelty of the algorithm and explored the managerial insights of the proposed model. Numerical studies obtain that dynamical investment is really beneficial for the management of stocks.
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U2 - 10.1016/j.jretconser.2020.102326
DO - 10.1016/j.jretconser.2020.102326
M3 - Article
AN - SCOPUS:85092652683
SN - 0969-6989
VL - 58
JO - Journal of Retailing and Consumer Services
JF - Journal of Retailing and Consumer Services
M1 - 102326
ER -