Supply and Demand (SAD) analysis of Producers and Seller in Market under OOS Conditions in Supply Chain Management.

Authors:

Sayed Atif,Noor Ullah,Jehanzeb Khan,

DOI NO:

https://doi.org/10.26782/jmcms.2019.10.00043

Keywords:

Supply and Demand,Producers,Agent based simulation,product reliability,Out of Stock (OOS),

Abstract

Product accessibility is a serious feature of client package for sellers and industrialists. While product being out of stock (OOS), both sellers and manufacturers may agonize relying on demand-side features, such as whether customers are extra dependable to the store. Though together sellers and producers contribute to OOS conditions, the supply-side features, like whether seller or producer is accountable for in-store contentment might effect OOS situation. Direct store delivery (DSD) includes the producer sidestepping the seller’s delivery center and transporting product straight to the seller’s distinct warehouses. This article presents the Supply and Demand (SAD) concerns concurrently to define the insinuations of stock outs for both sellers and producers using an agent-based simulation. An agent-based simulation permits reflection of such concerns under recurring OOS circumstances to define the general and complete effect to seller and producer performance.

Refference:

I. A. Musalem, M. Olivares, E. T. Bradlow, C. Terwiesch, and D. Corsten,
“Structural estimates of the effect of out-of-stocks,” Manage. Sci., vol. 56,
no. 7, pp. 1180–1197, 2010.
II. A. Bonfrer and P. K. Chintagunta, “Store brands: Who buys them and
what happens to retail prices when they are introduced?,” Review Ind.
Org., vol. 24, no. 2, pp. 195–218, 2004.
III. D. Papakiriakopoulos and G. Doukidis, “Classification performance of
making decisions about products missing from the shelf,” Adv. Decis.
Sci., pp. 1–13, 2011, Art.ID 515978.
IV. E. T. Anderson, G. J. Fitzsimons, and D. Simester, D, “Measuring and
mitigating the costs of stockouts,” Manage. Sci., vol. 52, no. 11, pp. 1751–
1763, 2006.
V. ECR Europe and RolandBerger Strategy Consultants. ECR— Optimal
Shelf Availability: Increasing Shopper Satisfaction at the Moment
of Truth. ECR Europe, 2003. [Online]. Avail- able: http://ecrall.
org/files/pub_2003_osa_blue_book.pdf. Accessed on: Jun. 30, 2014.
VI. GMA Direct Store Delivery Committee, AMR Research, and Clark- ston
Consulting. Powering Growth Through Direct Store Delivery (Ver- sion
1.1), Grocery Manufacturers of America, Washington, DC, USA, 2008.
VII. GMA Direct Store Delivery Committee and Willard Bishop. Optimiz- ing
the Value of Integrated DSD, Grocery Manufacturers of America,
Washington, DC, USA, 2011.
VIII. J. Aastrup and H. Kotzab, “Analyzing out-of-stock in independent grocery
stores: An empirical study,” Int. J. Retail Distrib. Manage., vol. 37, no. 3,
pp. 765–789, 2009.
IX. J. Aastrup and H. Kotzab, “Forty years of out-of-stock research – and
shelves are still empty,” Int. Rev. Retail, Distrib. Consumer Res., vol. 20,
no. 1, pp. 147–164, 2010
X. K. Campos, E. Gijsbrechts, and P. Nisol, “The impact of retailer stockouts
on whether, how much, and what to buy,” Int. J. Res. Marketing, vol. 20,
no. 3, pp. 273–286, 2003.
XI. K. Xu, R. Yin, and Y. Dong, “Stockout recovery under consignment: The
role of inventory ownership in supply chains,” Decis., Sci., vol. 47, no. 1,
pp. 94–124, 2016.
XII. R. C. Basole and M. A. Bellamy, “Supply network structure, visibility,
and risk diffusion: A computational approach,” Decis. Sci. J., vol. 45, no.
4, pp. 753–789, 2014.
XIII. T. W. Gruen, D. S. Corsten, and S. Bharadwaj, Retail Out-of-Stocks: A
Worldwide Examination of Extent, Causes, and Consumer Responses,
Grocery Manufacturers of America: Washington, DC, USA, 2002.
XIV. T. Wu, S. Huang, J. Blackhurst, X. Zhang, and S. Wang, “Supply chain
risk management: An agent-based simulation to study the impact of retail
stockouts,” IEEE Trans. Eng. Manage., vol. 60, no. 4, pp. 676–686, Nov.
2013.

View Download