Page 65 - IJOCTA-15-2

¨
D. Balpınarlı, M. Onal / IJOCTA, Vol.15, No.2, pp.245-263 (2025)
future research direction could be to develop other 2. Chuang C-H, Zhao Y. Demand stimulation in
efficient search algorithms that use this solution
as the initial solution. Other methods to obtain
the initial solution could also be investigated. One
can also consider testing the performance of other 3. Balakrishnan A, Pangburn M S, Stavrulaki E.
metaheuristic approaches, such as genetic algo-
rithms, simulated annealing, etc. Furthermore, a
Dantzig-Wolfe decomposition method integrated
into a Branch and Bound algorithm (i.e., a Branch
and Price algorithm) can also be studied. In that
case, the pricing problem would again be the sin-
gle item ELSIDD problem. It would be interest-
4
ing to see how the algorithm of would be modi-
fied in the nodes of the branch and bound tree. As 6. Rosenberg D. Optimal price-inventory decisions:
another future research, transportation decisions
can be incorporated into the multiple item EL-
SIDD model, which makes the problem a multi-
level problem.
Acknowledgments
None
Funding
The work was supported by the Scientific and Na-
¨ ˙
tional Research Council of Turkey (TUBITAK)
under grant no. 119M278.
Conflict of interest
The authors declare that they have no conflict of
interest regarding the publication of this article. 12. Giri B C, Pal S, Chaudhuri K S. An in-
Author contributions
¨
Conceptualization: Mehmet Onal
¨
Funding acquisition: Mehmet Onal
Investigation: All authors
Methodology: All authors
¨
Supervision: Mehmet Onal
Writing - original draft : All authors
Writing - review & editing : All authors
Availability of data
All the data is included in the paper.
References
1. Koschat M A. Store inventory can affect de- 17. Datta T K, Paul K. An inventory system with
mand: Empirical evidence from magazine retail-
ing. J Retail. 2008;84(2):165-179.
260
finished-goods inventory management: Empiri-
cal evidence from general motors dealerships. Int
J Prod Econ. 2019;208:208-220.
Stack them high, let ‘em fly: Lot-sizing policies
when inventories stimulate demand. Manag Sci.
2004;50(5):630-644.
¨
4. Onal M, Albey E. Economic lot sizing problem
with inventory dependent demand. Optim Lett.
2020;14:2087–2106.
5. Kunreuther H, Richard J F. Optimal pricing
and inventory decisions for non-seasonal items.
Econometrica. 1971;39:173-175.
Profit vs. roii. IIE txn.1991;21(1):17-22.
7. Burwell T H, Dave D S, Fitzpatrick K E, Roy
M R. An inventory model with planned shortage
and price dependent demand. Decision Sciences,
1991;22(5):1187-1191.
8. Kumari M, De P K. An eoq model for deterio-
rating items analyzing retailer’s optimal strategy
under trade credit and return policy with non-
linear demand and resalable returns. An Inter-
national Journal of Optimization and Control:
Theories and Applications. 2022;2(1):73-82.
9. Urban T L. Inventory models with the demand
rate dependent on stock and shortage levels. Int
J Prod Econ. 1995;40(1):21-28.
10. Soni H, Shah N H. Optimal ordering policy for
stock-dependent demandunder progressive pay-
ment scheme. European Journal of Operational
Research. 2008;185:91-100.
11. Pando V, San-Jos´e L A, Garc´ıa-Laguna J, Si-
cilia J. An economic lot-size model with non-
linear holding cost hinging on time and quantity.
International Journal of Production Economics.
2013;145(1):294-303.
ventory model for deteriorating items with
stock-dependent demand rate. Eur J Oper Res.
1996;95:604-610.
13. Teng J-T, Krommyda I-P, Skouri K, Lou K-
R. A comprehensive extension of optimal order-
ing policy for stock-dependent demand under
progressive payment scheme. Eur J Oper Res.
2011;215:97-104.
14. Pervin M, Roy S K, Weber G W. Multi-item
deteriorating two-echelon inventory model with
price- and stock-dependent demand: A trade-
credit policy. J Ind Manag Optim. 2019;15:1345-
1373.
15. Zhang S, Cao L, Lu Z. An eoq inventory model
for deteriorating items with controllable deterio-
ration rate under stock-dependent demand rate
and non-linear holding cost. J Ind Manag Optim.
2022;18:4231-4263.
16. Urban T L., Baker R C. Optimal ordering and
pricing policies in a single-period environment
with multivariate demand and markdowns. Eur
J Oper Res. 1997;103:573-583.
stock dependent, price sensitive demand rates.
Prod Plan Cont. 2001;12:13-20.