Lei Lei
Publications with PhD Students and Alumni
Optimal Business Policies for a Supplier-Transporter-Buyer Channel with a Price-Sensitive Demand (L. Lei, Q. Wang, and X. Fan). Journal of the Operational Research Society. Vol. 21, No. 4, 2005, pp. 1-9)
On the Integrated Production, Inventory, and Distribution Routing Problem (L. Lei, A. Ruszczynski, S. Liu and S. Park). IIE Transactions (Under the second review. First revision completed: May 2005)
On the Integrated Production and Distribution Problem with Bi-directional Flows (L. Lei and H. Zhong). INFORMS Journal on Computing (Under the second review. First revision completed: September 2005)
Container Vessel Scheduling with Bi-directional Flows (L. Lei, Z. Chen, and H. Zhong). Operations Research Letters (Under the second review. First revision completed: September 2005)
Optimizing production, inventory, and distribution for General Chemical Group (D. Bloomquist, D. Graziosi, L. Lei, A. Ruszczynski, S. Liu and H. Zhong). Interfaces (Practice Abstract), Vol. 32, No. 4, 2002, pp. 67-68.
Effects of Errors in Production-Inventory Systems (J. Yang, L. Lei, and C. Fan). Proceedings of 2005 Northeast Decision Sciences Institute Annual Meeting (Refereed, January, 2005).
On the Zero-Inventory Production and Distribution Problem (R. Armstrong, L. Lei*, and S. Gao). Proceedings of 2005 Multidisciplinary International Conference on Scheduling: Theory and Applications (Refereed, April, 2005. pp. 428-444).(*Corresponding author)
A Dynamic Scheduling Algorithm for the Integrated Production and Distribution Problem (M. Kumar, L. Lei, C. Fan, and J. Yang). Proceedings of 2005 Multidisciplinary International Conference on Scheduling: Theory and Applications (Refereed abstract, April, 2005. p. 701).
On the Single-Truck Capacitated Packing-Routing Problem with a Fixed Route (S. Liu, L. Lei, and S. Park). Proceedings of 2005 Multidisciplinary International Conference on Scheduling: Theory and Applications (Refereed abstract, April, 2005. p. 70).
Optimal cyclic scheduling of a robotic processing line with two-product and time-window constraints (L. Lei and Q. Liu). INFOR. Vol. 39, No. 2, May 2001.
An Efficient Algorithm for a Class of Two-resource Allocation Problems (R. Armstrong, S. Gu, and L. Lei). INFORMS Journal on Computing, Vol. 10, No. 1, 1998, pp. 114-120.
Solving a Class of Two-resource Allocation Problems by Equivalent Load Method (R. Armstrong, S. Gu, and L. Lei*). Journal of the Operational Research
Society, Vol. 48, 1997, pp. 818-825. (*Corresponding author)
Determining the Number of Transporters for a Cyclic Transportation Schedule(L. Lei, R. Armstrong, and S.H.Gu). Applications of Management Science: Engineering, Vol. 9, 1996, pp. 175-190.
A Greedy Algorithm to Determine the Number of Transporters in a Cyclic Electroplating Process (R. Armstrong, S.H. Gu, and L. Lei*). IIE Transactions.Vol. 28, No. 6, 1996, pp. 347-355. (* Corresponding Author)
An O(Nlog(1/e)) Algorithm for the Two-resource Allocation Problem with a Non- differentiable Convex Objective Function (R. Armstrong, S. Gu, and L. Lei).Journal of the Operational Research Society. Vol. 46, 1995, pp.116-122.
A Bounding Scheme for Deriving the Minimal Cycle Time of a Single-Transporter N-Stage Process with Time-Window Constraints (R. Armstrong, L. Lei*, and S. Gu). European Journal of Operations Research. Vol. 75, 1994. pp. 130-140. (*Corresponding author)
Minimizing the Fleet Size for a Cyclic Transportation Schedule with Dependent Time Windows and Single-Track Constraints. (L. Lei, R. Armstrong, and S.H. Gu). Operations Research Letters. Vol. 14, 1993, pp. 91-98.
Minimizing the Cycle Time of a Just-in-Time Manufacturing Process with a Single Transporter (R. Armstrong, L. Lei and S.H. Gu). Manufacturing Research & Technology. Vol. 12, 1991, pp. 237-246. Dispatching Material Handling Robots in a Continuous Chemical Process with Time- window Constraints (R. Armstrong, T. Boucher, S. Gu, and L. Lei*).Proceedings of 1994 Conference on Computer Integrated Manufacturing,1994. pp. 89-100. (*Corresponding author)
Optimal Allocation of Two Non-Substitutable Resources among Competing Activities with Precedence Relationships(R. Armstrong, S.H. Gu, and L. Lei*). Proceedings of ORSA Technical Section on Manufacturing Management.1994. pp.85-90. (*Corresponding author)
Minimizing the Cycle Time of a Just-in-time Manufacturing Process with a SingleMaterial Handling Transporter (L. Lei, R. Armstrong and S. Gu). Proceedings of the 1991 International Conference on Just-in-Time Manufacturing Systems.1991
Dissertations Supervised:
Name: Gao, Su
Graduation Date: 2011/October
Thesis Title: On the Integrated Production and Distribution Problems in Make-to-Order Businesses
Name: Liu, Shuguang
Graduation Date: 2003/October
Thesis Title: On the Integrated Production, Inventory, and Distribution Routing Problem
Name: Liu, Qing
Graduation Date: 1999/October
Thesis Title: On The Robotic Cyclic Scheduling Of M-Stage Flow Lines With Multiple-Part And Time Window Constraints
Name: Gu, Shanhong
Graduation Date: 1999/ May
Thesis Title: On The Single Hoist Cyclic Scheduling Problem
Dissertation Proposals of Current PhD Students:
Name: Hua Zhong
Proposal Defended: 2004/March
Proposal Title: On The Intergraded Production, Inventory and Distribution Problem Involving Reverse Flows
Dissertation Proposal Abstract: Reverse logistics is a new and emerging research area in management science and applied operations research. The driving forces behind the academic research in this fast growing area are the needs from industries. While a noticeable number of studies have been devoted during the past decade on managing the supply chain networks involving reverse flows, the result for integrated facility location, production, inventory and simultaneous optimization of forward and backward flows is almost none.
The main objectives of our research are twofold. The first objective is to develop a comprehensive mathematical model for simultaneously optimizing the decisions on facility location and production/inventory/reprocessing operations for supply chain networks involving forward and reverse flows. The second objective is to investigate solution approaches to solve such integrated problems involving forward and reverse (bi-directional) flows.
Since this integrated model contains several NP-hard sub-problems, it is computationally impractical to solve the model directly. For this reason, we are interested in local optimization/heuristic solution approaches. The solution methodology that we propose to investigate in this research is a two-stage solution approach. The first stage determines the facility locations, and the second stage, with the given facility locations, optimizes the integrated production, inventory and transportation operations with bi-directional flows.
