Graduation Year

2019

Document Type

Dissertation

Degree

Ph.D.

Degree Name

Doctor of Philosophy (Ph.D.)

Degree Granting Department

Industrial and Management Systems Engineering

Major Professor

Changhyun Kwon, Ph.D.

Committee Member

Hadi Charkhgard, Ph.D.

Committee Member

Mingyang Li, Ph.D.

Committee Member

Xiaopeng Li, Ph.D.

Committee Member

He Zhang, Ph.D.

Keywords

Conditional Value-at-Risk, Dynamic Wireless Charging, Hazardous Materials Transportation, Risk Management, Spectral Risk

Abstract

Routing and designing are essential for transportation networks. With effective routing and designing policies, transportation networks can work safely and efficiently. There are two transportation problems: hazardous materials (hazmat) transportation and warehouse logistics. This dissertation addresses the routing of networks for both problems. For hazmat transportation, the routing can be regulated via network design. Due to catastrophic consequences of potential accidents in hazmat transportation, a risk-averse approach for routing is necessary. In this dissertation, we consider spectral risk measures, for risk-averse hazmat routing. In addition, we introduce a network design problem to select a set of closed road segments for hazmat traffic with conditional value-at-risk (CVaR) to regulate hazmat routing. In warehouses, the routing of electric forklifts with sufficient battery levels is for material handling. The optimization model of dynamic wireless charging lane location is proposed under the workflow congestion in parallel-aisle warehouses. Considering the uncertainty of demands, the wireless charging lane location problem is formulated as a two-stage stochastic programming model. We confirm the efficiency of the proposed algorithms in solving these problems and the key advantages of use the proposed routing and designing policies via case studies.

Download

Share

COinS