Doctoral Thesis Stochastic Modelling and Analysis of Warehouse Operations

Defended on Thursday, 3 September 2009

Abstract

This thesis has studied stochastic models and analysis of warehouse operations. After an overview of stochastic research in warehouse operations, we explore the following topics.
Firstly, we search optimal batch sizes in a parallel-aisle warehouse with online order arrivals. We employ a sample path optimization and perturbation analysis algorithm to search the optimal batch size for a warehousing service provider, and a central finite difference algorithm to search the optimal batch sizes from the perspectives of customers and total systems.
Secondly, we research a polling-based dynamic order picking system for online retailers. We build models to describe and analyze such systems via stochastic polling theory, find closed-form expressions for the order line waiting times, and apply polling-based picking to online retailers.
We then present closed-form analytic expressions for pick rates of order picking bucket brigades systems in different storage profiles, and show how to combine storage policies and bucket brigades protocols to improve order picking productivity.
Finally, we propose a new warehouse design approach oriented to improving revenue management of public storage warehouses. Our experiments show a proper facility design can significantly improve the expected revenue of public storage warehouses.

Keywords

warehouse operations, revenue management, facility design, facility logistics, polling models, queueing networks, bucket brigades, dynamic systems, order picking, public storage, self-storage, online retailers, stochastic models, stochastic optimization

Time frame

2006 - 2009

Preferred reference

Y. Gong, Stochastic Modelling and Analysis of Warehouse Operations, Promotors:prof.dr.ir. René de Koster,prof.dr. Steef van de Velde, http://hdl.handle.net/1765/16724

Author

Yeming Gong
Yeming Gong

Supervisory Team

René de Koster
Professor of Logistics and Operations Management
  • Promotor
Steef van de Velde
Dean RSM & Professor of Management and Technology
  • Promotor
Kees Jan Roodbergen
Kees Jan Roodbergen
  • Copromotor

Committee Members

Rommert Dekker
Professor of Econometrics (Operations Research and Informatics)
Donald Eisenstein
Donald Eisenstein