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Dr. Daniel Y. Mo
The Hang Seng University of Hong Kong

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Research Keywords & Expertise

0 Lean Six Sigma
0 After-sale Supply Chain Management
0 Demand and Supply Analytics
0 Logistics Systems Optimization
0 Design of Intelligent Systems

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Journal article
Published: 31 July 2021 in International Journal of Production Research
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Product configurators are recognised as critical toolkits enabling customers to co-create products with companies. Most available product configurators require customers to select suitable product attributes from predefined options. However, customers usually find the selection processes frustrating due to their lack of product knowledge. In view of the fact that customers often express their needs in imprecise and vague natural language, we define a new needs-based configuration mechanism and propose an implementation approach based on text embeddings and multilayer perceptron. Specifically, we leverage the massive amount of product reviews by encoding them into text embeddings. A multilayer perceptron is trained to map text embeddings to product attribute options. Experiment results indicate that the mapping has good generalisation capability to map customer needs into product configurations. The performance of our approach is comparable to that of deep learning-based approaches but with much higher efficiency in terms of computational complexity. Our needs-based configuration thus provides a quick and effective means of facilitating product customisation. It also demonstrates an innovative way of utilising customer resources in unstructured text to co-create products with companies.

ACS Style

Yue Wang; Xiang Li; Linda L. Zhang; Daniel Mo. Configuring products with natural language: a simple yet effective approach based on text embeddings and multilayer perceptron. International Journal of Production Research 2021, 1 -13.

AMA Style

Yue Wang, Xiang Li, Linda L. Zhang, Daniel Mo. Configuring products with natural language: a simple yet effective approach based on text embeddings and multilayer perceptron. International Journal of Production Research. 2021; ():1-13.

Chicago/Turabian Style

Yue Wang; Xiang Li; Linda L. Zhang; Daniel Mo. 2021. "Configuring products with natural language: a simple yet effective approach based on text embeddings and multilayer perceptron." International Journal of Production Research , no. : 1-13.

Earlycite article
Published: 30 April 2021 in Industrial Management & Data Systems
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Purpose Under the impact of Coronavirus disease 2019 (COVID-19), this paper contributes in the deployment of the Artificial Intelligence of Things (AIoT)-based system, namely AIoT-based Domestic Care Service Matching System (AIDCS), to the existing electronic health (eHealth) system so as to enhance the delivery of elderly-oriented domestic care services. Design/methodology/approach The proposed AIDCS integrates IoT and Artificial Intelligence (AI) technologies to (1) capture real-time health data of the elderly at home and (2) provide the knowledge support for decision making in the domestic care appointment service in the community. Findings A case study was conducted in a local domestic care centre which provided elderly oriented healthcare services to the elderly. By integrating IoT and AI into the service matching process of the mobile apps platform provided by the local domestic care centre, the results proved that customer satisfaction and the quality of the service delivery were improved by observing the key performance indicators of the transactions after the implementation of the AIDCS. Originality/value Following the outbreak of COVID-19, this is a new attempt to overcome the limited research done on the integration of IoT and AI techniques in the domestic care service. This study not only inherits the ability of the existing eHealth system to automatically capture and monitor the health status of the elderly in real-time but also improves the overall quality of domestic care services in term of responsiveness, effectiveness and efficiency.

ACS Style

H.Y. Lam; G.T.S. Ho; Daniel Y. Mo; Valerie Tang. Enhancing data-driven elderly appointment services in domestic care communities under COVID-19. Industrial Management & Data Systems 2021, 121, 1552 -1576.

AMA Style

H.Y. Lam, G.T.S. Ho, Daniel Y. Mo, Valerie Tang. Enhancing data-driven elderly appointment services in domestic care communities under COVID-19. Industrial Management & Data Systems. 2021; 121 (7):1552-1576.

Chicago/Turabian Style

H.Y. Lam; G.T.S. Ho; Daniel Y. Mo; Valerie Tang. 2021. "Enhancing data-driven elderly appointment services in domestic care communities under COVID-19." Industrial Management & Data Systems 121, no. 7: 1552-1576.

Articles
Published: 13 April 2021 in International Journal of Production Research
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Service parts management has the potential to generate high profits for companies that deliver superior service parts services in the after-sale market. However, a big challenge in managing service parts operations is to meet the high expectations of service levels and to reduce excess inventories caused by fluctuating demand and a complex service parts logistics network structure. By expanding the conventional inventory management that passively focuses on the forward and lateral flows of service parts deployment, we propose a crucial but overlooked practice of inventory redeployment as an integral part of the operations that allow the proactive management of lateral and reverse flows of service parts. We formulate the service parts inventory problem with the application of an excess inventory redeployment strategy in a multi-echelon service network as a multi-period integer programming model. This optimisation model is evaluated using a case study of an international company’s service parts operations and demonstrates a higher cost-saving potential. Our novel, integrated approach confers the advantage of redeploying excess inventories in a closed-loop service parts logistics network with a higher cost-saving potential that could not have been achieved in a conventional approach.

ACS Style

Daniel Y. Mo; Yue Wang; Danny C. K. Ho; K. H. Leung. Redeploying excess inventories with lateral and reverse transshipments. International Journal of Production Research 2021, 1 -16.

AMA Style

Daniel Y. Mo, Yue Wang, Danny C. K. Ho, K. H. Leung. Redeploying excess inventories with lateral and reverse transshipments. International Journal of Production Research. 2021; ():1-16.

Chicago/Turabian Style

Daniel Y. Mo; Yue Wang; Danny C. K. Ho; K. H. Leung. 2021. "Redeploying excess inventories with lateral and reverse transshipments." International Journal of Production Research , no. : 1-16.

Journal article
Published: 18 March 2021 in IEEE Transactions on Industrial Informatics
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Smart manufacturing attempts to build a collaborative and integrated platform to enable flexibility in product design and manufacturing processes so as to better address customer needs. This makes a smooth information flow a prerequisite for smart manufacturing. However, firms usually struggle with a lack of consistency and coherence in communication and information exchange in design and manufacturing practices, a phenomenon called 'semantic gap'. This paper presents a multi-task learning framework to close the semantic gap between customers and designers/engineers to facilitate efficient product co-development. We elicited domain knowledge from a product review corpus and integrated the knowledge into a bi-directional long short-term memory-based multi-task learning network. Transfer learning was then applied to adapt the network so it could bridge the semantic gap between customer needs and product specifications. Experiment results indicate that the proposed method unites customer needs and product specifications in smart manufacturing by effectively mapping across these domains.

ACS Style

Yue Wang; Xiang Li; Daniel Mo. Knowledge-Empowered Multitask Learning to Address the Semantic Gap Between Customer Needs and Design Specifications. IEEE Transactions on Industrial Informatics 2021, 17, 8397 -8405.

AMA Style

Yue Wang, Xiang Li, Daniel Mo. Knowledge-Empowered Multitask Learning to Address the Semantic Gap Between Customer Needs and Design Specifications. IEEE Transactions on Industrial Informatics. 2021; 17 (12):8397-8405.

Chicago/Turabian Style

Yue Wang; Xiang Li; Daniel Mo. 2021. "Knowledge-Empowered Multitask Learning to Address the Semantic Gap Between Customer Needs and Design Specifications." IEEE Transactions on Industrial Informatics 17, no. 12: 8397-8405.

Journal article
Published: 11 December 2020 in Transportation Research Part E: Logistics and Transportation Review
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Accurate prediction of the aircraft trajectory and associated fuel consumption has become an important research topic owing to the increasing importance of air traffic management. Currently, trajectory prediction and fuel estimation are usually accomplished via complex mathematical energy-balance methods. In these methods, the prediction error could get increased due to the possible usage of global values and outdated database, resulting from that most of the information regarding aircraft operations is unavailable. In this paper, we propose a covariance bidirectional extreme learning machine (CovB-ELM) for predicting aircraft trajectories and estimating fuel consumption. The selection of randomly generated parameters for the hidden unit, such as the input weight and bias, to improve the accuracy and numerical stability of the extreme learning machine (ELM), is an open problem. The fundamental idea behind the proposed method is to maximise the covariance between the hidden unit and network errors through partially updating the hidden-unit parameters randomly generated in bidirectional ELM so that the output weight norm value is minimised and the convergence gets improved. The merits of the proposed CovB-ELM are demonstrated by the experiments involving regression problems and international airline historically flight data, which suggests that the CovB-ELM outperforms, in terms of generalisation performance, several existing methods, e.g., airline mathematical approach, backpropagation neural network, and constructive ELM methods.

ACS Style

Waqar Ahmed Khan; Hoi-Lam Ma; Xu Ouyang; Daniel Y. Mo. Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines. Transportation Research Part E: Logistics and Transportation Review 2020, 145, 102189 .

AMA Style

Waqar Ahmed Khan, Hoi-Lam Ma, Xu Ouyang, Daniel Y. Mo. Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines. Transportation Research Part E: Logistics and Transportation Review. 2020; 145 ():102189.

Chicago/Turabian Style

Waqar Ahmed Khan; Hoi-Lam Ma; Xu Ouyang; Daniel Y. Mo. 2020. "Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines." Transportation Research Part E: Logistics and Transportation Review 145, no. : 102189.

Journal article
Published: 11 July 2020 in Sustainability
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The aging population has led to an increase in the variety and volume of transportation demands by people facing travel difficulties. Hence, transportation organisations need to provide flexible and sustainable paratransit services to meet these increasing demands. In this study, we investigate the design of flexible vehicle scheduling systems in order for a community organisation to serve more people and achieve higher operational efficiency. We analyse and propose a system design based on user requirements for different types of paratransit types. Further, we identify an integrated service option and process flow for dial-a-ride passengers to ride on a vehicle with schedule route passengers. Because this option involves a complex decision, we formulate the problem as a two-stage decision model. To verify the effectiveness of our proposed design, we perform numerical simulations and conduct a case study by collaborating with a transportation organisation. We found that the proposed system would enable the organisation to serve more people with fewer vehicles but without an increase in the travelling time. These results demonstrate the importance of a flexible vehicle scheduling system for accessible transportation organisations to sustain their service operations.

ACS Style

Daniel Mo; H. Lam; Weikun Xu; G. Ho. Design of Flexible Vehicle Scheduling Systems for Sustainable Paratransit Services. Sustainability 2020, 12, 5594 .

AMA Style

Daniel Mo, H. Lam, Weikun Xu, G. Ho. Design of Flexible Vehicle Scheduling Systems for Sustainable Paratransit Services. Sustainability. 2020; 12 (14):5594.

Chicago/Turabian Style

Daniel Mo; H. Lam; Weikun Xu; G. Ho. 2020. "Design of Flexible Vehicle Scheduling Systems for Sustainable Paratransit Services." Sustainability 12, no. 14: 5594.

Article
Published: 21 June 2020 in International Journal of Computer Integrated Manufacturing
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Air cargo loading in terminals demands precise planning to ensure efficient operations and minimise costs with limited time in the airport. Real-time visualisation and loading optimisation are becoming increasingly important due to dynamic loading considerations, including the segregation of dangerous goods and inherent lithium batteries, weight balancing, and oversize cargo handling. A closed-loop dynamic air cargo loading digital twin system, integrating a cargo load plan optimisation simulation, multi-dimensional immersive virtual reality system, Internet of Things, and real-time sensors, is proposed for connecting, monitoring and controlling the operations in physical operations and virtual space. A Cave Automatic Virtual Environment (CAVE)-based virtual reality system is used to visualise and experiment with loading procedures. The system uses a feedback loop during sensor data capture to facilitates the decision-making processes on the optimal cargo load plan. Scenarios are discussed demonstrating the impact of the digital twin system on the daily operations of an air cargo terminal, especially the allocation of dangerous goods and special cargo. Load planners can master complex air cargo load planning through the system with optimal solutions generated. The operations of cargo assembly and security screening with digital twins could be further developed for future development.

ACS Style

Eugene Y. C. Wong; Daniel Y. Mo; Stuart So. Closed-loop digital twin system for air cargo load planning operations. International Journal of Computer Integrated Manufacturing 2020, 1 -13.

AMA Style

Eugene Y. C. Wong, Daniel Y. Mo, Stuart So. Closed-loop digital twin system for air cargo load planning operations. International Journal of Computer Integrated Manufacturing. 2020; ():1-13.

Chicago/Turabian Style

Eugene Y. C. Wong; Daniel Y. Mo; Stuart So. 2020. "Closed-loop digital twin system for air cargo load planning operations." International Journal of Computer Integrated Manufacturing , no. : 1-13.

Earlycite article
Published: 05 May 2020 in Industrial Management & Data Systems
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PurposeAccurate prediction of order demand across omni-channel supply chains improves the management's decision-making ability at strategic, tactical and operational levels. The paper aims to develop a predictive methodology for forecasting near-real-time e-commerce order arrivals in distribution centres, allowing third-party logistics service providers to manage the hour-to-hour fast-changing arrival rates of e-commerce orders better.Design/methodology/approachThe paper proposes a novel machine learning predictive methodology through the integration of the time series data characteristics into the development of an adaptive neuro-fuzzy inference system. A four-stage implementation framework is developed for enabling practitioners to apply the proposed model.FindingsA structured model evaluation framework is constructed for cross-validation of model performance. With the aid of an illustrative case study, forecasting evaluation reveals a high level of accuracy of the proposed machine learning approach in forecasting the arrivals of real e-commerce orders in three different retailers at three-hour intervals.Research limitations/implicationsResults from the case study suggest that real-time prediction of individual retailer's e-order arrival is crucial in order to maximize the value of e-order arrival prediction for daily operational decision-making.Originality/valueEarlier researchers examined supply chain demand, forecasting problem in a broader scope, particularly in dealing with the bullwhip effect. Prediction of real-time, hourly based order arrivals has been lacking. The paper fills this research gap by presenting a novel data-driven predictive methodology.

ACS Style

K.H. Leung; Daniel Y. Mo; G.T.S. Ho; C.H. Wu; G.Q. Huang. Modelling near-real-time order arrival demand in e-commerce context: a machine learning predictive methodology. Industrial Management & Data Systems 2020, 120, 1149 -1174.

AMA Style

K.H. Leung, Daniel Y. Mo, G.T.S. Ho, C.H. Wu, G.Q. Huang. Modelling near-real-time order arrival demand in e-commerce context: a machine learning predictive methodology. Industrial Management & Data Systems. 2020; 120 (6):1149-1174.

Chicago/Turabian Style

K.H. Leung; Daniel Y. Mo; G.T.S. Ho; C.H. Wu; G.Q. Huang. 2020. "Modelling near-real-time order arrival demand in e-commerce context: a machine learning predictive methodology." Industrial Management & Data Systems 120, no. 6: 1149-1174.

Journal article
Published: 01 November 2019 in INFORMS Journal on Applied Analytics
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This study demonstrates how NetApp, a data storage system provider, used Six Sigma to solve the service parts inventory problem in its multiechelon logistics network, which its inventory management system was unable to fix. The nonstationary demand for service parts created a blind spot for the system, thus hampering NetApp’s contractual commitment to customers of an almost 100% fill rate (FR) for replacing service parts. Constant customer complaints because of FRs that were less than 100% caused NetApp to improve the performance of its service parts replenishment and order fulfillment processes. By following the Six Sigma approach and using the associated qualitative and quantitative tools, the company worked systemically to identify the major causes of insufficient stock and systematically corrected the problem. NetApp formulated a cost-effective inventory solution for its inventory planning system, which resulted in a 10% decrease in the ratio of inventory to revenue and an FR increase from 99.1% to 99.6%. The standard deviation of the replenishment lead time also declined from 4.97 to 1.87 days, implying that the variation of the replenishment lead time was greatly reduced. The Six Sigma process, therefore, provided new insights and a new approach to enable NetApp to manage its inventory planning process.

ACS Style

Daniel Y. Mo; Stephen C. H. Ng; David Tai. Revamping NetApp’s Service Parts Operations by Process Optimization. INFORMS Journal on Applied Analytics 2019, 49, 407 -421.

AMA Style

Daniel Y. Mo, Stephen C. H. Ng, David Tai. Revamping NetApp’s Service Parts Operations by Process Optimization. INFORMS Journal on Applied Analytics. 2019; 49 (6):407-421.

Chicago/Turabian Style

Daniel Y. Mo; Stephen C. H. Ng; David Tai. 2019. "Revamping NetApp’s Service Parts Operations by Process Optimization." INFORMS Journal on Applied Analytics 49, no. 6: 407-421.

Articles
Published: 10 June 2019 in International Journal of Production Research
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This study examines user outsourcing of spare parts management to vendors through a service contract. The user’s selection of a fixed-price service parts contract is formulated as a stochastic integer programming model that decides multiple response times and on-site spare parts, while considering component breakdown with uncertain failure rates. We analytically derive the optimality conditions for the continuous case and subsequently design an efficient algorithm. Numerical illustrations and analyses are conducted to evaluate decisions under various scenarios. Our analysis shows that when both failure rate and expedited contract cost are high, coupled with low part cost, users would prefer the purchase of spare parts for all components to expedited contracts. A fixed-price expedited contract has a lower marginal cost with respect to failure rate than a fixed-price next day contract and a usage-based contract. We also examine inventory behaviour for a single part, multiple types of parts, and multiple groups of parts. It is shown that there is a cost-saving pooling effect in spare parts for identical items, which significantly raises the likelihood of having on-site stored parts. The problem becomes more complex for multiple items, reflecting bundling effects between items for a given contract.

ACS Style

Daniel Y. Mo; Yue Wang; Lawrence C. Leung; Mitchell M. Tseng. Optimal service parts contract with multiple response times and on-site spare parts. International Journal of Production Research 2019, 58, 3049 -3065.

AMA Style

Daniel Y. Mo, Yue Wang, Lawrence C. Leung, Mitchell M. Tseng. Optimal service parts contract with multiple response times and on-site spare parts. International Journal of Production Research. 2019; 58 (10):3049-3065.

Chicago/Turabian Style

Daniel Y. Mo; Yue Wang; Lawrence C. Leung; Mitchell M. Tseng. 2019. "Optimal service parts contract with multiple response times and on-site spare parts." International Journal of Production Research 58, no. 10: 3049-3065.

Journal article
Published: 01 January 2019 in International Journal of Internet Manufacturing and Services
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ACS Style

Danny C.K. Ho; Daniel Y.W. Mo; Eugene Y.C. Wong; Simon M.K. Leung. Business intelligence for order fulfilment management in small and medium enterprises. International Journal of Internet Manufacturing and Services 2019, 6, 169 .

AMA Style

Danny C.K. Ho, Daniel Y.W. Mo, Eugene Y.C. Wong, Simon M.K. Leung. Business intelligence for order fulfilment management in small and medium enterprises. International Journal of Internet Manufacturing and Services. 2019; 6 (2):169.

Chicago/Turabian Style

Danny C.K. Ho; Daniel Y.W. Mo; Eugene Y.C. Wong; Simon M.K. Leung. 2019. "Business intelligence for order fulfilment management in small and medium enterprises." International Journal of Internet Manufacturing and Services 6, no. 2: 169.

Conference paper
Published: 01 December 2018 in 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
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In this study, we explore the effects of consolidating orders on a crowdsourcing baggage delivery company. We use an empirical study of customers' preferences, a benchmarking study of pricing models, and an optimization tool for consolidating orders to show that a crowdsourcing strategy that includes order consolidation provides a competitive advantage to companies offering baggage delivery services. As order consolidation enhances the efficiency of the transportation network, drivers can increase revenue, and customers can save on the cost of delivering goods. Statistical analysis and numerical experiments are conducted to support these findings.

ACS Style

D. Y. Mo; Y. Wang; N. Chan. Consolidating Orders in a Crowdsourcing Delivery Network. 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2018, 555 -559.

AMA Style

D. Y. Mo, Y. Wang, N. Chan. Consolidating Orders in a Crowdsourcing Delivery Network. 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). 2018; ():555-559.

Chicago/Turabian Style

D. Y. Mo; Y. Wang; N. Chan. 2018. "Consolidating Orders in a Crowdsourcing Delivery Network." 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) , no. : 555-559.

Journal article
Published: 08 October 2018 in Maritime Economics & Logistics
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Hong Kong has benefited from China’s cabotage rule, as foreign ships loading at a Chinese port can transit to Hong Kong and then call at another Chinese port. However, in 2013, China’s cabotage policy was relaxed in Shanghai—whereby China-owned, foreign-flagged vessels are allowed to operate out of Shanghai to other coastal ports of China. In this paper, we examine the potential loss of transshipment traffic in Hong Kong due to cabotage relaxation. Via a transshipment model and based on secondary data, we are able to derive a potential loss to Hong Kong’s throughput, on the order of 14%. This effect is not unique to Hong Kong: in general, in other parts of the world, there are also maritime hubs located near the coastal ports of other countries, and the effects of cabotage relaxation are similar. From a regional collaboration perspective, such as that of the Belt and Road Initiative, it is essential for different governments to review their cabotage policies together.

ACS Style

W. H. Wong; E. Wong; D. Y. Mo; L. Leung. Impact of cabotage relaxation in mainland China on the transshipment hub of Hong Kong. Maritime Economics & Logistics 2018, 21, 464 -481.

AMA Style

W. H. Wong, E. Wong, D. Y. Mo, L. Leung. Impact of cabotage relaxation in mainland China on the transshipment hub of Hong Kong. Maritime Economics & Logistics. 2018; 21 (4):464-481.

Chicago/Turabian Style

W. H. Wong; E. Wong; D. Y. Mo; L. Leung. 2018. "Impact of cabotage relaxation in mainland China on the transshipment hub of Hong Kong." Maritime Economics & Logistics 21, no. 4: 464-481.

Journal article
Published: 01 January 2018 in CIRP Annals
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ACS Style

Yue Wang; Daniel Y. Mo; Mitchell M. Tseng. Mapping customer needs to design parameters in the front end of product design by applying deep learning. CIRP Annals 2018, 67, 145 -148.

AMA Style

Yue Wang, Daniel Y. Mo, Mitchell M. Tseng. Mapping customer needs to design parameters in the front end of product design by applying deep learning. CIRP Annals. 2018; 67 (1):145-148.

Chicago/Turabian Style

Yue Wang; Daniel Y. Mo; Mitchell M. Tseng. 2018. "Mapping customer needs to design parameters in the front end of product design by applying deep learning." CIRP Annals 67, no. 1: 145-148.

Conference paper
Published: 01 December 2017 in 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
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Many leading companies are now offering global customers better spare parts services for system maintenance through a more complex service logistics network, extending beyond the traditional on-site stocking management, to boost profit margin. One challenge these spare parts service providers face is how to achieve desired service levels at a low cost through minimization of excess inventories in the global spare parts supply chain. To address this issue, we demonstrate an inventory redeployment strategy to transform a conventional spare parts supply chain (with forward stocking facilities only) into a closed-loop, multi-echelon service network with the capability of redeploying inventories from overstocking to understocking facilities, reducing purchase of high-value spare parts. To assess the quality of our novel solution approach, we used a network flow optimization model to analyze the proposed excess inventories redeployment strategy of an international company's service parts operations, and found significant inventory cost savings.

ACS Style

D. Mo; D. C. K. Ho; N. Chan. Excess inventories redeployment strategy for spare parts service logistics management. 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2017, 1995 -1999.

AMA Style

D. Mo, D. C. K. Ho, N. Chan. Excess inventories redeployment strategy for spare parts service logistics management. 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). 2017; ():1995-1999.

Chicago/Turabian Style

D. Mo; D. C. K. Ho; N. Chan. 2017. "Excess inventories redeployment strategy for spare parts service logistics management." 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) , no. : 1995-1999.

Conference paper
Published: 01 December 2017 in 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
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In the decades characterized by ageing population, many community transportation organizations face challenges to serve various needs of people sustainably because of limited social welfare expenditure. This research aims to design mass customized services that provide multiple types of paratransit service through better system design and optimization of vehicle resources. In this paper, we focus on integrating scheduler route (SR) service with dial-a-ride (DAR) service, along with the option of a shared ride program. In the first part, we study how different types of paratransit services can be represented systematically under the same family structure. The identified commonality of processes among different service types will lead to the optimization of vehicle scheduling. Then, in the second part, we will develop a mechanism for scheduling vehicles to serve different types of passengers. Illustrated in a numerical example, 20% more passengers could be served by the integrated model of two service types.

ACS Style

D. Mo; Y. Wang; T. K.Y. Cheung. Design of mass customized paratransit services. 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2017, 1762 -1766.

AMA Style

D. Mo, Y. Wang, T. K.Y. Cheung. Design of mass customized paratransit services. 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). 2017; ():1762-1766.

Chicago/Turabian Style

D. Mo; Y. Wang; T. K.Y. Cheung. 2017. "Design of mass customized paratransit services." 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) , no. : 1762-1766.

Conference paper
Published: 01 December 2017 in 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
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Product configurators are the prevailing toolkit used to enable online product customisation. Studies of consumer behaviour have acknowledged that consumers are usually indifferent to certain products or product attributes. Thus, they may have multiple satisfactory attribute choices when configuring products. However, existing configurators allow customers to choose only one attribute, which may make customers hard to make decisions. This paper proposes a new, flexible option-based configurator mechanism that allows customers to select multiple attribute choices. We investigate which factors significantly affect customers' decisions to choose multiple options, and whether the flexible configurator increases customers' satisfaction levels. The results of a series of empirical experiments show that the significant factors for utilitarian products and hedonic products are different. Customers gain no extra satisfaction from products customised by a flexible configurator, but enjoy a better configuration process.

ACS Style

Y. Wang; G. Tang; D. Mo. How do flexible options affect customer decision making in an online configurator system? 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2017, 1828 -1832.

AMA Style

Y. Wang, G. Tang, D. Mo. How do flexible options affect customer decision making in an online configurator system? 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). 2017; ():1828-1832.

Chicago/Turabian Style

Y. Wang; G. Tang; D. Mo. 2017. "How do flexible options affect customer decision making in an online configurator system?" 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) , no. : 1828-1832.

Journal article
Published: 01 January 2017 in International Journal of Production Economics
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ACS Style

Wenyuan Wang; Yue Wang; Daniel Mo; Mitchell M. Tseng. Managing component reuse in remanufacturing under product diffusion dynamics. International Journal of Production Economics 2017, 183, 551 -560.

AMA Style

Wenyuan Wang, Yue Wang, Daniel Mo, Mitchell M. Tseng. Managing component reuse in remanufacturing under product diffusion dynamics. International Journal of Production Economics. 2017; 183 ():551-560.

Chicago/Turabian Style

Wenyuan Wang; Yue Wang; Daniel Mo; Mitchell M. Tseng. 2017. "Managing component reuse in remanufacturing under product diffusion dynamics." International Journal of Production Economics 183, no. : 551-560.

Article
Published: 07 October 2016 in Journal of Intelligent Manufacturing
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Component reuse is a crucial remanufacturing strategy that assists manufacturers to achieve sustainable supply chain management. However, few manufacturers obtain economic benefits from component reuse strategies due to the demand for increasing product variety and its related complex cost structure. In this paper, we propose an integrated quantitative decision model to assess the economic aspects of component reuse for remanufacturing management. Given numerous cost factors, such as component manufacturing, reverse logistics, reprocessing, disposal and penalty costs, we derive the optimal acquisition cost to retrieve end-of-life products for component reuse. Then, we identify the component commonality effects to quantify the component reuse rate from a variety of end-of-life products. Finally, our models and results are demonstrated through an industrial case study. Accordingly, the cost savings from reusing components could be achieved by 25 % of the manufacturing cost offered to acquire the used products from customers at a low reverse logistics cost. Based on the 80 % yield rate observed in the case study, the commonality of components in a product family would affect 35 % of the total cost savings of component reuse for remanufacturing.

ACS Style

Wenyuan Wang; Daniel Y. Mo; Yue Wang; Mitchell M. Tseng. Assessing the cost structure of component reuse in a product family for remanufacturing. Journal of Intelligent Manufacturing 2016, 30, 575 -587.

AMA Style

Wenyuan Wang, Daniel Y. Mo, Yue Wang, Mitchell M. Tseng. Assessing the cost structure of component reuse in a product family for remanufacturing. Journal of Intelligent Manufacturing. 2016; 30 (2):575-587.

Chicago/Turabian Style

Wenyuan Wang; Daniel Y. Mo; Yue Wang; Mitchell M. Tseng. 2016. "Assessing the cost structure of component reuse in a product family for remanufacturing." Journal of Intelligent Manufacturing 30, no. 2: 575-587.

Journal article
Published: 20 June 2016 in IEEE Transactions on Engineering Management
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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.

ACS Style

Daniel Y. Mo; Mitchell M. Tseng; Yue Wang. Mass Customizing Spare Parts Support Services Based on Response Time With Inventory Pooling Strategies. IEEE Transactions on Engineering Management 2016, 63, 305 -315.

AMA Style

Daniel Y. Mo, Mitchell M. Tseng, Yue Wang. Mass Customizing Spare Parts Support Services Based on Response Time With Inventory Pooling Strategies. IEEE Transactions on Engineering Management. 2016; 63 (3):305-315.

Chicago/Turabian Style

Daniel Y. Mo; Mitchell M. Tseng; Yue Wang. 2016. "Mass Customizing Spare Parts Support Services Based on Response Time With Inventory Pooling Strategies." IEEE Transactions on Engineering Management 63, no. 3: 305-315.