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In this paper, two types of parking spaces, namely public and private parking spaces, are technically allocated to the drivers who may require a long or short time slot. Dynamic allocation and pricing process increase the complexity of evaluating the performance. We design a Physical Internet (PI) enabled parking management system to establish parking networks and collect real-time information for management and evaluation. Then, we propose a truthful, reverse Vickrey auction to allocate and price parking spaces in a static setting. We further incorporate the static auction mechanism into a continuous-time Markov Chain model and analyze the effects of the key factors (e.g., dynamic arrival rate and abandonment rate) in a dynamic setting. Our experimental results show that the expected price of the reverse Vickrey auction is lower than the market price. The expected profit is increasing in the arrival rate of parking spaces in the system. Finally, we numerically examine the benefits of parking space owners, drivers and the system, and highlight the associated managerial implications.
Bing Qing Tan; Su Xiu Xu; Kai Kang; Gangyan Xu; Wei Qin. A reverse Vickrey auction for physical internet (PI) enabled parking management systems. International Journal of Production Economics 2021, 235, 108083 .
AMA StyleBing Qing Tan, Su Xiu Xu, Kai Kang, Gangyan Xu, Wei Qin. A reverse Vickrey auction for physical internet (PI) enabled parking management systems. International Journal of Production Economics. 2021; 235 ():108083.
Chicago/Turabian StyleBing Qing Tan; Su Xiu Xu; Kai Kang; Gangyan Xu; Wei Qin. 2021. "A reverse Vickrey auction for physical internet (PI) enabled parking management systems." International Journal of Production Economics 235, no. : 108083.
On-demand logistics platform has been developed rapidly to respond increasingly customized demands. Many platform-based enterprises are facing difficulties in operating that resulting in inefficient resource allocation, high costs and top-down centralized decision-making process so that unsustainable on-demand delivery is an existing challenge. Such a platform service supply chain is highly influenced by fluctuating supply and demand. To solve this problem, this paper introduces an online double auction for on-demand pickup and delivery in the metropolitan cities, allowing both shippers and carriers dynamically enter and exit transactions. A multi-agent environment is created to automate the real-time auctioning through cyber-physical-system technologies. The proposed method aims at maximizing the social welfare and minimizing trade failures in the face of uncertainty of future agent types or the information of further bids and asks. The approach is extending the well-known McAfee's single-unit method, to allocate multi-unit on-demand logistics tasks using public, private, robot-enabled delivery capacities. It is observed that truthful bidding is a dominant strategy for each agent under this mechanism while realizing budget balance and individual rationality. The results show that the designed auction is more suitable to employ if supply-demand unbalance exists, compared with the fixed pricing mechanism. It suggests using more crowdsourcing resources rather than private carriers to improve transaction efficiency and transportation sustainability.
Xiang T.R. Kong; Kai Kang; Ray Y. Zhong; Hao Luo; Su Xiu Xu. Cyber physical system-enabled on-demand logistics trading. International Journal of Production Economics 2020, 233, 108005 .
AMA StyleXiang T.R. Kong, Kai Kang, Ray Y. Zhong, Hao Luo, Su Xiu Xu. Cyber physical system-enabled on-demand logistics trading. International Journal of Production Economics. 2020; 233 ():108005.
Chicago/Turabian StyleXiang T.R. Kong; Kai Kang; Ray Y. Zhong; Hao Luo; Su Xiu Xu. 2020. "Cyber physical system-enabled on-demand logistics trading." International Journal of Production Economics 233, no. : 108005.
Industrial parks are regarded as a possible fashion to reduce the manufacturing costs and increase the efficiency by sharing cost-effective infrastructure and communal services. However, the waste of manufacturing resources could impede the development of manufacturing enterprises that locate in an industrial park when market demands fluctuate dynamically. This article aims to use the cloud manufacturing (CMfg) to relieve the temporary shortage of manufacturing resources and capabilities by sharing them among these enterprises in an industrial park. This article focuses on manufacturing cloud service allocation (MCSA), which is one of the critical processes to implement CMfg. Two multiunit double auction mechanisms are proposed to allocate the manufacturing cloud services (MCSs) with reasonable trade price in bilateral markets, and their properties and bidding strategies are proved. Numerical studies are conducted, and the results show the effectiveness and efficiency of two mechanisms for dealing with MCSA and verify the theoretical proofs.
Kai Kang; Su Xiu Xu; Ray Y. Zhong; Bing Qing Tan; George Q. Huang. Double Auction-Based Manufacturing Cloud Service Allocation in an Industrial Park. IEEE Transactions on Automation Science and Engineering 2020, PP, 1 -13.
AMA StyleKai Kang, Su Xiu Xu, Ray Y. Zhong, Bing Qing Tan, George Q. Huang. Double Auction-Based Manufacturing Cloud Service Allocation in an Industrial Park. IEEE Transactions on Automation Science and Engineering. 2020; PP (99):1-13.
Chicago/Turabian StyleKai Kang; Su Xiu Xu; Ray Y. Zhong; Bing Qing Tan; George Q. Huang. 2020. "Double Auction-Based Manufacturing Cloud Service Allocation in an Industrial Park." IEEE Transactions on Automation Science and Engineering PP, no. 99: 1-13.
This paper investigates a multi-period integrated decision-making model for the heavy duty equipment maintenance involving disassembly, inspection and assembly with uncertain numbers of replaced parts within a time horizon. There are large numbers of subways cars exported from other countries and the maintenance is difficult to be conducted in Hong Kong (HK) due to the limited spaces, machinery and technical supporting team. Thus, the efficient maintenance planning is required to ensure the quality of transportation services. To resolve the problem, a deterministic mixed integer optimization model is developed to achieve integrated optimization of disassembly and assembly. The model minimizes the total operation cost consisting of purchasing cost and repair cost, subject to capacity constraints. A real-life case study from Mass Transit Railway (MTR) Hong Kong is presented to verify the proposed model.
Kai Kang; Ray Y. Zhong; Aydin Nassehi. Integrated Disassembly and Assembly Model for Heavy Duty Equipment Maintenance. Procedia CIRP 2020, 93, 995 -1000.
AMA StyleKai Kang, Ray Y. Zhong, Aydin Nassehi. Integrated Disassembly and Assembly Model for Heavy Duty Equipment Maintenance. Procedia CIRP. 2020; 93 ():995-1000.
Chicago/Turabian StyleKai Kang; Ray Y. Zhong; Aydin Nassehi. 2020. "Integrated Disassembly and Assembly Model for Heavy Duty Equipment Maintenance." Procedia CIRP 93, no. : 995-1000.
Sustainability is increasingly viewed as a desired goal of social development. The logistics industry without exception is aware of the importance of sustainable development. To achieve this goal, the logistics industry is leveraging cutting-edge technologies, such as product service systems (PSS) and cloud manufacturing (CMfg), to design logistics product service systems (LPSS). In LPSS, public logistics resources are allocated to customers and private logistics resources are shared between customers. However, logistics resource allocation and sharing services have been impeded by a lack of efficient methods. In this context, this paper proposes an auction-based cloud service allocation and sharing method for LPSS. Firstly, LPSS is defined and elaborated based on the adoption of PSS in the logistics industry. Secondly, multi-unit Vickery (MV) auctions and one-sided Vickrey-Clarke-Groves (O-VCG) combinatorial auctions are proposed to address logistics resource allocation and sharing problems respectively in LPSS. Two auctions are introduced specifically, and their relevant properties are investigated, including incentive compatibility, allocative efficiency, budget balance, and individual rationality. Thirdly, computational studies are conducted to examine the performance of two auctions. The results reveal that MV auctions can efficiently allocate public logistics resources through ensuring the utility of logistics service providers under dynamic supply and demand. Additionally, O-VCG auctions can effectively integrate and share idle private logistics resources, which promotes sustainability in the logistics industry. Through integrating MV auctions with O-VCG auctions, the utility of logistics service providers can be increased.
Kai Kang; Ray Y. Zhong; Su Xiu Xu; Bing Qing Tan; Lihui Wang; Tao Peng. Auction-based cloud service allocation and sharing for logistics product service system. Journal of Cleaner Production 2020, 278, 123881 .
AMA StyleKai Kang, Ray Y. Zhong, Su Xiu Xu, Bing Qing Tan, Lihui Wang, Tao Peng. Auction-based cloud service allocation and sharing for logistics product service system. Journal of Cleaner Production. 2020; 278 ():123881.
Chicago/Turabian StyleKai Kang; Ray Y. Zhong; Su Xiu Xu; Bing Qing Tan; Lihui Wang; Tao Peng. 2020. "Auction-based cloud service allocation and sharing for logistics product service system." Journal of Cleaner Production 278, no. : 123881.
The logistics industry around the world has proliferated over recent years as a large number of business organizations have come to recognize the importance of logistics. Cost control used to be emphasized to remain competitive, but recently green logistics has gained attention with the awareness of the integration of economy and society as a whole. Nowadays, green logistics is a useful concept to improve the sustainability of logistics operations, and its related policies and theoretical research have been investigated and explored. However, the practical applications of green logistics are impeded by real-time data sharing, which is common in the logistics industry. Blockchain technology is adopted to address this challenge and enable data sharing among related stakeholders. This paper presents a reference framework for green logistics based on blockchain to reach the sustainable operations of logistics, with the integration of the Internet of Things and big data. Finally, potential benefits and limitations are analyzed when implementing this framework.
Bing Qing Tan; Fangfang Wang; Jia Liu; Kai Kang; Federica Costa. A Blockchain-Based Framework for Green Logistics in Supply Chains. Sustainability 2020, 12, 4656 .
AMA StyleBing Qing Tan, Fangfang Wang, Jia Liu, Kai Kang, Federica Costa. A Blockchain-Based Framework for Green Logistics in Supply Chains. Sustainability. 2020; 12 (11):4656.
Chicago/Turabian StyleBing Qing Tan; Fangfang Wang; Jia Liu; Kai Kang; Federica Costa. 2020. "A Blockchain-Based Framework for Green Logistics in Supply Chains." Sustainability 12, no. 11: 4656.
V.G. Venkatesh; Kai Kang; Bin Wang; Ray Y Zhong; Abraham Zhang. System architecture for blockchain based transparency of supply chain social sustainability. Robotics and Computer-Integrated Manufacturing 2020, 63, 1 .
AMA StyleV.G. Venkatesh, Kai Kang, Bin Wang, Ray Y Zhong, Abraham Zhang. System architecture for blockchain based transparency of supply chain social sustainability. Robotics and Computer-Integrated Manufacturing. 2020; 63 ():1.
Chicago/Turabian StyleV.G. Venkatesh; Kai Kang; Bin Wang; Ray Y Zhong; Abraham Zhang. 2020. "System architecture for blockchain based transparency of supply chain social sustainability." Robotics and Computer-Integrated Manufacturing 63, no. : 1.
We investigate a ferry network design problem with candidate service arcs (FNDP-SA), which is a new variant motivated by areal-world case from Zhuhai Islands. In this research, the design of a ferry schedule must conform to strict constraints including technical feasibility, safety issues, environmental impacts and moreover, avoid conflicting with ferries from neighboring cities (i.e. HongKong, Shenzhen and Macao). Therefore, a set of cautiously approved service arcs are firstly given, based on which the ferry service network is optimized. This study is among the first to formally describe the FNDP-SA and model it as an integer program. A hybrid variable neighborhood descent (VND)-based algorithm is developed. Two sets of instances are generated based on the case of Zhuhai Islands, where the first set is based on historical ticket sales data while the second set is derived by incorporating increased demands in the future according to a questionnaire survey. Numerical studies have shown that 59% cost reduction on the first set can be achieved by the proposed VND algorithm when compared with manual results. Research outcomes of this study have been adopted and implemented to facilitate the sustainable development of the ferry service of Zhuhai Islands.
Xianghua Chu; Saijun Shao; Su Xiu Xu; Kai Kang. Data-driven ferry network design with candidate service arcs: the case of Zhuhai Islands in China. Maritime Policy & Management 2020, 47, 598 -614.
AMA StyleXianghua Chu, Saijun Shao, Su Xiu Xu, Kai Kang. Data-driven ferry network design with candidate service arcs: the case of Zhuhai Islands in China. Maritime Policy & Management. 2020; 47 (5):598-614.
Chicago/Turabian StyleXianghua Chu; Saijun Shao; Su Xiu Xu; Kai Kang. 2020. "Data-driven ferry network design with candidate service arcs: the case of Zhuhai Islands in China." Maritime Policy & Management 47, no. 5: 598-614.
Life cycle assessment (LCA) is widely used for assessing the environmental impacts of a product or service. Collecting reliable data is a major challenge in LCA due to the complexities involved in the tracking and quantifying inputs and outputs at multiple supply chain stages. Blockchain technology offers an ideal solution to overcome the challenge in sustainable supply chain management. Its use in combination with internet-of-things (IoT) and big data analytics and visualization can help organizations achieve operational excellence in conducting LCA for improving supply chain sustainability. This research develops a framework to guide the implementation of Blockchain-based LCA. It proposes a system architecture that integrates the use of Blockchain, IoT, and big data analytics and visualization. The proposed implementation framework and system architecture were validated by practitioners who were experienced with Blockchain applications. The research also analyzes system implementation costs and discusses potential issues and solutions, as well as managerial and policy implications.
Abraham Zhang; Ray Y Zhong; Muhammad Farooque; Kai Kang; V G Venkatesh. Blockchain-based life cycle assessment: An implementation framework and system architecture. Resources, Conservation and Recycling 2019, 152, 104512 .
AMA StyleAbraham Zhang, Ray Y Zhong, Muhammad Farooque, Kai Kang, V G Venkatesh. Blockchain-based life cycle assessment: An implementation framework and system architecture. Resources, Conservation and Recycling. 2019; 152 ():104512.
Chicago/Turabian StyleAbraham Zhang; Ray Y Zhong; Muhammad Farooque; Kai Kang; V G Venkatesh. 2019. "Blockchain-based life cycle assessment: An implementation framework and system architecture." Resources, Conservation and Recycling 152, no. : 104512.
Purpose The purpose of this paper is to design a parking space management platform to alleviate the parking problem and a two-stage solution for sharing and allocating parking spaces. Design/methodology/approach The market design mechanism and auction mechanism are integrated to solve the problem of parking space sharing and allocation. In the first stage, the market design mechanism with two rules is applied for making the good use of idle parking spaces. In the second stage, two sequential auction mechanisms are designed by extending first/second-price sealed bid auction mechanism to allocate both private and public parking spaces, which are received in previous stage and owned by the platform. Two stages are connected through a forecasted price which is calculated through the exponential smoothing method. Findings First, we prove three important properties of the proposed sequential auction mechanisms, namely, incentive compatibility, revenue equivalence and individual rationality. Second, a simulation study is used to verify the effectiveness of the mechanisms through numerical analysis. The impact of the system on three parts, namely, agents (private parking space suppliers), bidders (parking space customers) and the platform, is examined. Third, the results show that the sharing mechanism with monetrary incentive will attract a number of agents to join in the platform. The bidders are also able to obtain considerable utility, as compared with the (average) market parking fees. The platform can thus effectively allocate parking spaces with reasonable prices. Originality/value This paper combines the classical sequential auction mechanisms with the market design mechanism for the parking space sharing and allocation problem. The modeling and analysis method can also be used to address the similar allocation and pricing problems of other resources like bicycle sharing.
Bing Qing Tan; Su Xiu Xu; Ray Zhong; Meng Cheng; Kai Kang. Sequential auction based parking space sharing and pricing mechanism in the era of sharing economy. Industrial Management & Data Systems 2019, 119, 1734 -1747.
AMA StyleBing Qing Tan, Su Xiu Xu, Ray Zhong, Meng Cheng, Kai Kang. Sequential auction based parking space sharing and pricing mechanism in the era of sharing economy. Industrial Management & Data Systems. 2019; 119 (8):1734-1747.
Chicago/Turabian StyleBing Qing Tan; Su Xiu Xu; Ray Zhong; Meng Cheng; Kai Kang. 2019. "Sequential auction based parking space sharing and pricing mechanism in the era of sharing economy." Industrial Management & Data Systems 119, no. 8: 1734-1747.
Manufacturing enterprises are attempting to change from product suppliers into product-service providers through product-service integration during product lifecycle. In this context, logistics capability plays a significant role in transformation and upgrading, apart from design and manufacturing capability. To further improve logistics capability, logistics product service system (LPSS) is proposed based on product service system. This paper focuses on provision of idle logistics resource sharing for promoting LPSS. In order to share idle logistics resources, a model for logistics product service allocation is established firstly. After that, a Vickrey-Clarke-Groves-based payment rule is designed to complete transaction. Finally, a demonstrative case with the logistics product service provider and eight manufacturers is presented to illustrate the feasibility and applicability of the proposed method.
Kai Kang; Ray Y. Zhong; Suxiu Xu. Cloud-enabled sharing in logistics product service system. Procedia CIRP 2019, 83, 451 -455.
AMA StyleKai Kang, Ray Y. Zhong, Suxiu Xu. Cloud-enabled sharing in logistics product service system. Procedia CIRP. 2019; 83 ():451-455.
Chicago/Turabian StyleKai Kang; Ray Y. Zhong; Suxiu Xu. 2019. "Cloud-enabled sharing in logistics product service system." Procedia CIRP 83, no. : 451-455.
The reluctance or incapability of further increasing production resources has made many enterprises suffering from high resource-workload situation. Production dynamics thus cannot be resolved by single resource independently, yet have to make an integral use of the adjustable capability of multiple resources of the whole system in a synchronized way. This paper considers a dynamic production logistics (PL) process comprising multiple independently operated PL stages, which adopts Internet of Things to capture real-time execution dynamics and rely on plan (re)scheduling and cloud-based resources re-configuration to cope with dynamics. A generic dynamic production logistics synchronization (PLS) solution is proposed. Qualitatively, a multi-phase multi-stage multi-degree synchronization control mechanism is put forward toward a PL system with generic structure and typical execution dynamics. Quantitatively, collaborative optimization is applied to assist the PLS to obtain the synchronization results. With a real-life case study, the effectiveness of the proposed mechanism and method has been verified. A set of sensitivity analysis is also conducted toward dynamics of different degree and different time, which provides significant managerial implication to PL managers to better deal with dynamics.
Ting Qu; Yanghua Pan; Xuan Liu; Kai Kang; Congdong Li; Matthias Thürer; George Q Huang. Internet of Things-based real-time production logistics synchronization mechanism and method toward customer order dynamics. Transactions of the Institute of Measurement and Control 2017, 39, 429 -445.
AMA StyleTing Qu, Yanghua Pan, Xuan Liu, Kai Kang, Congdong Li, Matthias Thürer, George Q Huang. Internet of Things-based real-time production logistics synchronization mechanism and method toward customer order dynamics. Transactions of the Institute of Measurement and Control. 2017; 39 (4):429-445.
Chicago/Turabian StyleTing Qu; Yanghua Pan; Xuan Liu; Kai Kang; Congdong Li; Matthias Thürer; George Q Huang. 2017. "Internet of Things-based real-time production logistics synchronization mechanism and method toward customer order dynamics." Transactions of the Institute of Measurement and Control 39, no. 4: 429-445.