Ordering Strategies for Short Product Life Cycle Made-to-Stock Products

23 Pages Posted: 4 Sep 2012

See all articles by Janat Shah

Janat Shah

Indian Institute of Management Udaipur

Rahul Patil

Indian Institute of Technology (IIT), Bombay - Shailesh J. Mehta School of Management (SJM)

Balram Avittatur

Indian Institute of Management (IIM), Kolkata

Date Written: February 25, 2009

Abstract

To take advantage of economies of scale, vendors and transporters often use quantity discounts to influence the firms to order in larger quantities. Also, as the firms use delivery windows to procure and transport short life cycle products, it becomes important to simultaneously decide the best possible procurement and transportation plan over the product life cycle. Similarly, there is growing recognition amongst both practitioners and researchers to decide the end of the season markdowns by studying the sales pattern. In this paper, we propose a stochastic programming with recourse formulation to study this problem with the objective of maximizing the retailer's expected product life cycle profit keeping the initial business promised, subsequent lifecycle replenishment orders, transportation batch sizes and markdowns as recourse variables. We propose a solution procedure that efficiently solves this stochastic nonlinear problem. Our computational experiments suggest that it is always not necessary to select the most complex action plan. Under some business environments, the conventional strategy of placing and transporting a single large order is a better option. We then identity situations where decisions such as markdowns and use of quick response suppliers can be useful.

Keywords: Economies of Scale, Inventory Control, JlT, Made-To-Stock (MTS), Ordering Strategies, Retail Supply Chain, Short Product Life Cycle, Supply Chain Management

Suggested Citation

Shah, Janat and Patil, Rahul and Avittatur, Balram, Ordering Strategies for Short Product Life Cycle Made-to-Stock Products (February 25, 2009). IIM Bangalore Research Paper No. 276, Available at SSRN: https://ssrn.com/abstract=2140679 or http://dx.doi.org/10.2139/ssrn.2140679

Janat Shah (Contact Author)

Indian Institute of Management Udaipur ( email )

Mohanlal Sukhadia University Campus
Udaipur, Rajasthan 313001
India

HOME PAGE: http://www.iimu.ac.in

Rahul Patil

Indian Institute of Technology (IIT), Bombay - Shailesh J. Mehta School of Management (SJM) ( email )

Powai
Mumbai, Maharashtra 400076
India

Balram Avittatur

Indian Institute of Management (IIM), Kolkata ( email )

Kolkata, West Bengal 700104
India

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