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Dive into the research topics where Daniel Y. Mo is active.

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Featured researches published by Daniel Y. Mo.


International Journal of Systems Science | 2014

Design of inventory pools in spare part support operation systems

Daniel Y. Mo; Mitchell M. Tseng; Raymond K. Cheung

The objective of a spare part support operation is to fulfill the part request order with different service contracts in the agreed response time. With this objective to achieve different service targets for multiple service contracts and the considerations of inventory investment, it is not only important to determine the inventory policy but also to design the structure of inventory pools and the order fulfilment strategies. In this research, we focused on two types of inventory pools: multiple inventory pool (MIP) and consolidated inventory pool (CIP). The idea of MIP is to maintain separated inventory pools based on the types of service contract, while CIP solely maintains a single inventory pool regardless of service contract. Our research aims to design the inventory pool analytically and propose reserve strategies to manage the order fulfilment risks in CIP. Mathematical models and simulation experiments would be applied for analysis and evaluation.


IEEE Transactions on Automation Science and Engineering | 2009

Flow Diversion Strategies for Routing in Integrated Automatic Shipment Handling Systems

Daniel Y. Mo; Raymond K. Cheung; Allen W. Lee; Gil K. Law

The integrated automatic shipment handling systems (IASHSs) in large freight terminals and distribution centers are complex and increasingly congested due to the increase of freight volume. Shipments in IASHS need to be handled by a large amount of equipment. Thus, optimization-based tactical and operational planning models and methods for how the shipments are routed through the network of equipment in IASHS are required. To reduce the total shipment travel time, this paper studies a flow diversion strategy for routing shipments from their origins to their destinations, using multiple paths. This strategy is further leveraged to develop a destination reassignment strategy and time control strategy. We formulate these strategies as mathematical models and evaluate their effectiveness in static and adaptive implementations via numerical experiments. They are also compared to the classical shortest path oriented strategies.


international conference on robotics and automation | 2006

Flow diversion approaches for shipment routing in automatic shipment handling systems

Raymond K. Cheung; Allen W. Lee; Daniel Y. Mo

The integrated automated shipment handling systems (IASHS) in large freight terminals and distribution centers are complex and are increasingly congested due to the increase of freight volume. Shipments in IASHS need to be handled by a large amount of equipment. Thus, optimization-based tactical and operational planning models and methods for how to route the shipments through the network of equipment in IASHS are required for reducing the shipment transit time. This paper studies a static and an adaptive flow diversion approaches for routing shipments from their origins to their destinations. The approaches are compared to the classical shortest path oriented strategies. Furthermore, the paper investigates the possibility of using the proposed approaches to determining the destination of a shipment dynamically


IEEE Transactions on Engineering Management | 2016

Mass Customizing Spare Parts Support Services Based on Response Time With Inventory Pooling Strategies

Daniel Y. Mo; Mitchell M. Tseng; Yue Wang

Spare parts support services have received increasing management attention due to the growing number of critical systems in many business sectors. In this paper, we examine an integrated system design approach to customize spare parts support services based on response time with inventory pooling strategies. To provide customized services that meet user requirements for spare part response time, we depart from the traditional spare parts management and develop a systematic approach to design service parts support services based on axiomatic design theory. In particular, we focus on pricing discrimination decisions in service parts contracts for two-tier users under a mechanism design framework. Distinguishing between users of next-day and same-day contracts for service parts operations, we further evaluate the effect of various inventory pool structures with reserve strategies through a simulation model for the objective of cost minimization. These analytical results of this new approach provide guidance for managers in customizing spare parts support services with the holistic consideration of pricing scheme, response time, and inventory policy.


International Journal of Production Economics | 2017

Managing component reuse in remanufacturing under product diffusion dynamics

Wenyuan Wang; Yue Wang; Daniel Y. Mo; Mitchell M. Tseng


Journal of Intelligent Manufacturing | 2016

Assessing the cost structure of component reuse in a product family for remanufacturing

Wenyuan Wang; Daniel Y. Mo; Yue Wang; Mitchell M. Tseng


IIE Annual Conference and Exposition 2005 | 2005

Routing strategies in large-scale automatic storage and retrieval systems

Daniel Y. Mo; K. Cheung; S. Song; Raymond K. Cheung


IEEE Transactions on Engineering Management | 2018

Mass Customizing Paratransit Services With a Ridesharing Option

Daniel Y. Mo; Yue Wang; Y. C. E. Lee; Mitchell M. Tseng


Cirp Annals-manufacturing Technology | 2018

Mapping customer needs to design parameters in the front end of product design by applying deep learning

Yue Wang; Daniel Y. Mo; Mitchell M. Tseng


industrial engineering and engineering management | 2017

Design of mass customized paratransit services

Daniel Y. Mo; Y. Wang; T. K.Y. Cheung

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Yue Wang

Hang Seng Management College

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Mitchell M. Tseng

Hong Kong University of Science and Technology

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Raymond K. Cheung

Hong Kong University of Science and Technology

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Wenyuan Wang

Hong Kong University of Science and Technology

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Mitchell M. Tseng

Hong Kong University of Science and Technology

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Allen W. Lee

Hong Kong University of Science and Technology

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D. C. K. Ho

Hang Seng Management College

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Gil K. Law

Hong Kong University of Science and Technology

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N. Chan

Hang Seng Management College

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T. K.Y. Cheung

Hang Seng Management College

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