TY - JOUR
T1 - Consumer response to adjustable price and shelf-life of fresh food products under effective preservation policy
AU - Waqas Iqbal, Muhammad
AU - Iqbal Malik, Asif
AU - Babar Ramzan, Muhammad
AU - Saad Memon, Muhammad
AU - Irshad Mari, Sonia
AU - Salman Habib, Muhammad
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2024/2
Y1 - 2024/2
N2 - Food products deteriorate with time, that affects their freshness and demand. Several preservation policies have been suggested in literature for controlling the deterioration. This research work proposes a supply chain model comprising of a manufacturer and a retailer for deteriorating products with controllable rates of deterioration by improving product's lifetime (freshness) through preservation in form of storage conditions and delayed ripening agents (preservatives). Customers’ purchasing power controls the purchase quantity; thereby allowing them to buy more products for lower prices and vice versa. This observation is incorporated in this study by considering selling price dependent demand for fresh food items. The proposed model considers a variable (lifetime dependent) component of selling price to integrate consumers’ behavior of buying fresher products for higher prices. The proposed supply chain is presented as a nonlinear mathematical model which is solved by using analytical optimization methods and numerical approaches. Considering the given assumptions, this study explores optimal decision-making for selling price, investment in preservation technology (PT), and cycle time for optimizing product's freshness, deterioration rate, and demand to maximize the total supply chain profit. The results of the numerical experiments reveal the benefits of the proposed policies by exhibiting significant improvements in product's freshness, deterioration rate, demand, and profitability. A nexus of the product's freshness, selling price, and demand is investigated which suggests keeping the total selling price unchanged while improving the demand by increasing freshness through the proposed preservation policy. Some managerial insights are provided for decision-making within food chains.
AB - Food products deteriorate with time, that affects their freshness and demand. Several preservation policies have been suggested in literature for controlling the deterioration. This research work proposes a supply chain model comprising of a manufacturer and a retailer for deteriorating products with controllable rates of deterioration by improving product's lifetime (freshness) through preservation in form of storage conditions and delayed ripening agents (preservatives). Customers’ purchasing power controls the purchase quantity; thereby allowing them to buy more products for lower prices and vice versa. This observation is incorporated in this study by considering selling price dependent demand for fresh food items. The proposed model considers a variable (lifetime dependent) component of selling price to integrate consumers’ behavior of buying fresher products for higher prices. The proposed supply chain is presented as a nonlinear mathematical model which is solved by using analytical optimization methods and numerical approaches. Considering the given assumptions, this study explores optimal decision-making for selling price, investment in preservation technology (PT), and cycle time for optimizing product's freshness, deterioration rate, and demand to maximize the total supply chain profit. The results of the numerical experiments reveal the benefits of the proposed policies by exhibiting significant improvements in product's freshness, deterioration rate, demand, and profitability. A nexus of the product's freshness, selling price, and demand is investigated which suggests keeping the total selling price unchanged while improving the demand by increasing freshness through the proposed preservation policy. Some managerial insights are provided for decision-making within food chains.
KW - Food supply chain management
KW - Improved preservation policy
KW - Lifetime dependent selling price
KW - Nonlinear optimization
KW - Selling price dependent demand
UR - https://www.scopus.com/pages/publications/85182877877
U2 - 10.1016/j.cie.2024.109897
DO - 10.1016/j.cie.2024.109897
M3 - Article
AN - SCOPUS:85182877877
SN - 0360-8352
VL - 188
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
M1 - 109897
ER -