Pricing, Production, and Channel Coordination with Stochastic Learning

Proceedings of the 15th Asia Pacific Industrial Engineering & Management Systems Conference (APIEMS 2014), Jeju, Korea, October 12-15, 2014

5 Pages Posted: 27 Apr 2020

See all articles by Tao Li

Tao Li

Santa Clara University

Suresh Sethi

University of Texas at Dallas - Naveen Jindal School of Management

Xiuli He

University of North Carolina at Charlotte

Date Written: 2014

Abstract

We study a two-period supply chain in which a manufacturer produces a product, learns to reduce cost, and sells it through a retailer with a price-dependent demand. The manufacturer's second-period production cost declines linearly in the first-period production with a random learning rate. The manufacturer may or may not have the option to carry inventory. We investigate the impact of mean learning rate and learning rate variability on the manufacturer's production and pricing decisions, as well as on the retailer's procurement and pricing decisions. We demonstrate that as the mean learning rate or the learning rate variability increases, the traditional double marginalization problem becomes more severe, leading to greater efficiency loss in the channel. We provide revenue sharing contracts that can coordinate the dynamic supply chain. In particular, when the manufacturer may hold inventory, we identify two major drivers for inventory carryover: market growth and learning rate variability. Lastly, we demonstrate the robustness of our results by examining a model in which learning takes place continuously.

Keywords: Learning-by-Doing, Channel Coordination, Revenue Sharing Contracts

JEL Classification: C61, B23, C15, C10, C4, M11, M20, M31, C73

Suggested Citation

Li, Tao and Sethi, Suresh and He, Xiuli, Pricing, Production, and Channel Coordination with Stochastic Learning (2014). Proceedings of the 15th Asia Pacific Industrial Engineering & Management Systems Conference (APIEMS 2014), Jeju, Korea, October 12-15, 2014, Available at SSRN: https://ssrn.com/abstract=3566076 or http://dx.doi.org/10.2139/ssrn.3566076

Tao Li

Santa Clara University ( email )

500 El Camino Real
Santa Clara, CA 95053
United States

Suresh Sethi (Contact Author)

University of Texas at Dallas - Naveen Jindal School of Management ( email )

800 W. Campbell Road, SM30
Richardson, TX 75080-3021
United States

Xiuli He

University of North Carolina at Charlotte ( email )

9201 University City Boulevard
Charlotte, NC 28223
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
49
Abstract Views
540
PlumX Metrics