Optimal pricing and lot-sizing for perishable inventory with price and time dependent ramp-type demand

被引:39
作者
Panda, S. [1 ]
Saha, S. [2 ]
Basu, M. [3 ]
机构
[1] Bengal Inst Technol, Dept Math, Kolkata 700150, India
[2] Inst Engn & Management, Dept Math, Kolkata 700091, India
[3] Univ Kalyani, Dept Math, Kalyani 741235, W Bengal, India
关键词
inventory; price and time dependent ramp-type demand; discount; deterioration; REPLENISHMENT POLICY; EOQ MODEL; SHORTAGES; DETERIORATION;
D O I
10.1080/00207721.2011.598956
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Product perishability is an important aspect of inventory control. To minimise the effect of deterioration, retailers in supermarkets, departmental store managers, etc. always want higher inventory depletion rate. In this article, we propose a dynamic pre- and post-deterioration cumulative discount policy to enhance inventory depletion rate resulting low volume of deterioration cost, holding cost and hence higher profit. It is assumed that demand is a price and time dependent ramp-type function and the product starts to deteriorate after certain amount of time. Unlike the conventional inventory models with pricing strategies, which are restricted to a fixed number of price changes and to a fixed cycle length, we allow the number of price changes before as well as after the start of deterioration and the replenishment cycle length to be the decision variables. Before start of deterioration, discounts on unit selling price are provided cumulatively in successive pricing cycles. After the start of deterioration, discounts on reduced unit selling price are also provided in a cumulative way. A mathematical model is developed and the existence of the optimal solution is verified. A numerical example is presented, which indicates that under the cumulative effect of price discounting, dynamic pricing policy outperforms static pricing strategy. Sensitivity analysis of the model is carried out.
引用
收藏
页码:127 / 138
页数:12
相关论文
共 32 条
[1]   Two-warehouse inventory model with ramp-type demand and partially backlogged shortages [J].
Agrawal, Swati ;
Banerjee, Snigdha .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2011, 42 (07) :1115-1126
[2]  
[Anonymous], P NATL ACAD SCI
[3]  
Arcelus FJ, 1998, IIE TRANS, V30, P1057, DOI 10.1080/07408179808966562
[4]   A replenishment policy for items with price-dependent demand, time-proportional deterioration and no shortages [J].
Begum, R. ;
Sahoo, R. R. ;
Sahu, S. K. .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2012, 43 (05) :903-910
[5]  
Deb K., 2000, OPTIMIZATION ENG DES, P153
[6]   INVENTORY REPLENISHMENT POLICY FOR A LINEAR TREND IN DEMAND - ANALYTICAL SOLUTION [J].
DONALDSON, WA .
OPERATIONAL RESEARCH QUARTERLY, 1977, 28 (03) :663-670
[7]  
Ghare PM, 1963, J Ind Eng, V14, P238
[8]  
Giri B.C., 1999, P NATL ACAD SCI USA, V69, pIII
[9]   Recent trends in modeling of deteriorating inventory [J].
Goyal, SK ;
Giri, BC .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2001, 134 (01) :1-16
[10]   A HEURISTIC FOR REPLENISHMENT OF TRENDED INVENTORIES CONSIDERING SHORTAGES [J].
GOYAL, SK .
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 1988, 39 (09) :885-887