TY - JOUR
T1 - An inventory model under price and stock dependent demand for controllable deterioration rate with shortages and preservation technology investment
AU - Mishra, Umakanta
AU - Cárdenas-Barrón, Leopoldo Eduardo
AU - Tiwari, Sunil
AU - Shaikh, Ali Akbar
AU - Treviño-Garza, Gerardo
N1 - Publisher Copyright:
© 2017, Springer Science+Business Media New York.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - This paper develops an EOQ inventory model that considers the demand rate as a function of stock and selling price. Shortages are permitted and two cases are studied: (i) complete backordering and (ii) partial backordering. The inventory model is for a deteriorating seasonal product. The product’s deterioration rate is controlled by investing in the preservation technology. The main purpose of the inventory model is to determine the optimum selling price, ordering frequency and preservation technology investment that maximizes the total profit. Additionally, the paper proves that the total profit is a concave function of selling price, ordering frequency and preservation technology investment. Therefore, a simple algorithm is proposed to obtain the optimal values for the decision variables. Several numerical examples are solved and studied along with a sensitivity analysis.
AB - This paper develops an EOQ inventory model that considers the demand rate as a function of stock and selling price. Shortages are permitted and two cases are studied: (i) complete backordering and (ii) partial backordering. The inventory model is for a deteriorating seasonal product. The product’s deterioration rate is controlled by investing in the preservation technology. The main purpose of the inventory model is to determine the optimum selling price, ordering frequency and preservation technology investment that maximizes the total profit. Additionally, the paper proves that the total profit is a concave function of selling price, ordering frequency and preservation technology investment. Therefore, a simple algorithm is proposed to obtain the optimal values for the decision variables. Several numerical examples are solved and studied along with a sensitivity analysis.
KW - Controllable deterioration rate
KW - Preservation technology investment
KW - Price and stock dependent demand
UR - http://www.scopus.com/inward/record.url?scp=85012173080&partnerID=8YFLogxK
U2 - 10.1007/s10479-017-2419-1
DO - 10.1007/s10479-017-2419-1
M3 - Article (Academic Journal)
AN - SCOPUS:85012173080
SN - 0254-5330
VL - 254
SP - 165
EP - 190
JO - Annals of Operations Research
JF - Annals of Operations Research
IS - 1-2
ER -