Z
Zhi-Long Chen
Researcher at University of Maryland, College Park
Publications - 73
Citations - 4478
Zhi-Long Chen is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Scheduling (production processes) & Job shop scheduling. The author has an hindex of 34, co-authored 68 publications receiving 4089 citations. Previous affiliations of Zhi-Long Chen include University of Pennsylvania & Princeton University.
Papers
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Integrated Production and Outbound Distribution Scheduling: Review and Extensions
TL;DR: This paper presents a unified model representation scheme, classify existing models into several different classes, and for each class of the models give an overview of the optimality properties, computational tractability, and solution algorithms for the various problems studied in the literature.
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Integrated Scheduling of Production and Distribution Operations
TL;DR: In this paper, an integrated scheduling model of production and distribution operations is proposed for the computer and food catering service industries, where a set of jobs are first processed in a processing facility (e.g., manufacturing plant or service center) and then delivered to the customers directly without intermediate inventory.
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Machine scheduling with transportation considerations
Chung Yee Lee,Zhi-Long Chen +1 more
TL;DR: This paper studies machine scheduling problems with explicit transportation considerations and shows that many problems are computationally difficult and proposes polynomial or pseudo-polynomial algorithms for some problems.
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Solving a Practical Pickup and Delivery Problem
TL;DR: Column generation based solution approaches to a pickup and delivery vehicle routing problem commonly encountered in real-world logistics operations that involves a set of practical complications that have received little attention in the vehicle routing literature are proposed.
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Solving Parallel Machine Scheduling Problems by Column Generation
Zhi-Long Chen,Warren B. Powell +1 more
TL;DR: This work considers a class of problems of scheduling n jobs on m identical, uniform, or unrelated parallel machines with an objective of minimizing an additive criterion and proposes a decomposition approach for solving these problems exactly, indicating that this approach is promising and capable of solving large problems.