Call for Papers
Digital Twin and Data-driven Optimization for Hyperconnected Physical Internet
for the International Journal of Production Economics
On Singles' Day 2019, Alibaba seals $38.4 billion new sales record (TechCrunch 2019). Millions of parcels were handled and delivered within a short time. It is a critical issue to improve by an order of magnitude the economical, environmental and societal efficiency and sustainability of the way physical freight are operated (Qiu, Luo et al. 2015). By analogizing to Internet, Physical Internet (PI) is defined as a hyperconnected global logistics system enabling seamless open asset sharing and flow consolidation through standardized encapsulation, modularization, protocols and interfaces (Mervis 2014; Ballot, Montreuil, and Meller 2014). Several key scientific topics of Physical Internet have already been studied in a growing body of literature (Sternberg and Norrman, 2017; Pan, Ballot, Huang and Montreuil, 2017). Whereas, most of the previous studies are still limited to conceptual model verification. Large-scale industry-wide PI applications and deployments are also very few. It still has many key research questions to discuss, such as what the economic value and feasibility of PI technologies for the large-scale deployment is; and how should we quantitatively evaluate PI platform innovations, with which methods (Joshi and Gupta 2019; Almohri, Chinnam, and Colosimo 2019).
Everything in the future physical world would be replicated in the digital space. Digital Twin (DT) is one of key driving forces for hyperconnected physical internet. DT can project physical assets or processes into the digital world to reflect the whole lifecycle process (e.g., design, production, operation and maintenance) of the corresponding counterpart (Tao and Qi, 2019). For example, based on DT technologies, the large amounts of data that result from online ecommerce and offline fulfilments can be mined, modelled and analysed for data-driven optimization (Ivanov, Dolgui, Das, and Sokolov 2019). We also consider DT technology as a combination of Cyber Physical System, Industry 4.0, the Internet of Things, Big Data analytics, Artificial Intelligence, Advanced tracking and tracing technologies, Wearables, Additive Manufacturing and etc (Kong, Luo, Huang and Yang, 2018).
The successful deployment of hyperconnected physical internet would rely on integrating the objectives of both technology and management. But much of the DT technology and data-driven literature has been largely disjointed without much emphasis on novel scientific contribution. Interdisciplinary researches are also needed to build up new theories that examines the interplay between digital twin and data driven. This special issue addresses this void by specifically encouraging research that provides insight into digital twin and data-driven interface for significant theoretical breakthroughs. The SI accepts scientific contribution based on data-driven methods and rigorous sound theory. We welcome a wide variety of topics spanning multiple industries. We are also looking for papers that will not only address contemporary PI challenges in novel ways, but will serve as exemplars for conducting research in future.
Potential topics include, but are not limited to:
?Digital supply chain twins and Physical Internet
?Economic valuation methods of PI/DT platform innovations
?DT/PI-enabled smart manufacturing
?DT/PI-enabled sustainable supply chain
?DT/PI-enabled hyperconnected and urban logistics
?DT/PI-enabled hyperconnected and omnichannel supply chains
?Economic and statistical contributions that are relevant to Physical Internet
?Data-driven optimization approaches to address practical challenges in Physical Internet
?Impact of DT/PI-enabled visibility, traceability and optimization on industrial economics
?Case study for large-scale industry-wide physical internet deployment
?Application of artificial intelligence, blockchain and big data analytics in Physical Internet
Manuscript preparation and submission
Before submission, authors should carefully read over the journal's "Instructions for Authors". The review process will follow the journal's practice. Papers submitted to the Special Issue will be subjected to normal thorough double-blind review process. Prospective authors should clarify on methodology used in the submitted papers, and submit an electronic copy of their complete manuscript via the EES according to the following timetable:
?Close submission of manuscript on 30 November 2020
?Completion of the first-round review on28 February 2021
?Completion of the second-round review on 31 May 2021
For any queries please contact the Guest Editors (alphabetical order)
MINES ParisTech, PSL Research University, CGS – Centre de Gestion Scientifique, i3 UMR CNRS 9217, Paris, France. E-mail: eric.ballot@mines-paristech.fr
George Q. Huang (Professor, managing GE)
HKU-ZIRI Lab for Physical Internet, Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong. E-mail: gqhuang@hku.hk
Benoit Montreuil (Professor)
Physical Internet Center, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, USA. E-mail: benoit.montreuil@isye.gatech.edu
Hao Luo (Associate Professor)
Department of Transportation Economics and Logistics Management, College of Economics Shenzhen University, China. E-mail: luohao@szu.edu.cn
Xiang T.R. Kong (Assistant Professor)
Department of Transportation Economics and Logistics Management, College of Economics Shenzhen University, China. E-mail: kongxtr@szu.edu.cn
References
Almohri, H., Chinnam, R. B., & Colosimo, M. (2019). Data-driven analytics for benchmarking and optimizing the performance of automotive dealerships. International Journal of Production Economics, 213, 69-80.
Ballot, E., B. Montreuil, and R. Meller. (2014). The Physical Internet: The Network of Logistics Networks. Paris: La documentation Fran?aise.
Ivanov, D., Dolgui, A., Das, A., & Sokolov, B. (2019). Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility. In Handbook of Ripple Effects in the Supply Chain, Springer, Cham, 309-332.
Joshi, A. D., & Gupta, S. M. (2019). Evaluation of design alternatives of End-Of-Life products using internet of things. International Journal of Production Economics, 208, 281-293.
Kong, X. T., Luo, H., Huang, G. Q., and Yang, X. (2018). Industrial wearable system: the human-centric empowering technology in Industry 4.0. Journal of Intelligent Manufacturing, 1-17.
Mervis, J. (2014). The Information Highway Gets Physical. Science, 344:1104-1107.
Pan, S., Ballot, E., Huang, G. Q., & Montreuil, B. (2017). Physical Internet and interconnected logistics services: research and applications. International Journal of Production Research, 55(9), 2603-2609.
Qiu, X., Luo, H., Xu, G., Zhong, R., & Huang, G. Q. (2015). Physical assets and service sharing for IoT-enabled Supply Hub in Industrial Park (SHIP). International Journal of Production Economics, 159, 4-15.
Sternberg, H., & Norrman, A. (2017). The Physical Internet–review, analysis and future research agenda. International Journal of Physical Distribution & Logistics Management, 47(8), 736-762.
TechCrunch. (2019). Alibaba’s Singles’ Day sales top $38 billion, https://techcrunch.com/2019/11/11/alibaba-singles-day-record/
Tao F. and Qi Q.L. (2019). Make More Digital Twins. Nature, 573, 490-491.
征集論文
超連接物理互聯(lián)網(wǎng)的數(shù)字孿生與數(shù)據(jù)驅(qū)動(dòng)優(yōu)化
國(guó)際生產(chǎn)經(jīng)濟(jì)學(xué)雜志
2019年光棍節(jié)，阿里巴巴創(chuàng)造了384億美元的新銷售紀(jì)錄（TechCrunch 2019）。數(shù)百萬(wàn)件包裹在短時(shí)間內(nèi)被處理和交付。如何一個(gè)數(shù)量級(jí)的經(jīng)濟(jì)、環(huán)境和社會(huì)效率以及實(shí)體運(yùn)輸運(yùn)作方式的可持續(xù)性是一個(gè)關(guān)鍵問題（Qiu，Luo等 2015）。通過類比互聯(lián)網(wǎng)，物理互聯(lián)網(wǎng)（PI）被定義為一個(gè)超連接的全球物流系統(tǒng)，通過標(biāo)準(zhǔn)化封裝、模塊化、協(xié)議和接口實(shí)現(xiàn)無(wú)縫的開放式資產(chǎn)共享和流程整合（Mervis 2014；Ballot、Montreuil和Meller 2014）。已經(jīng)有越來(lái)越多的文獻(xiàn)研究了物理互聯(lián)網(wǎng)的幾個(gè)關(guān)鍵科學(xué)主題（Sternberg和Norrman，2017；Pan、Ballot、Huang和Montreuil，2017）。然而，以往的研究大多局限于概念模型的驗(yàn)證。大規(guī)模的行業(yè)范圍的PI應(yīng)用和部署也很少。它還有許多關(guān)鍵的研究問題需要討論，例如PI技術(shù)在大規(guī)模部署中的經(jīng)濟(jì)價(jià)值和可行性是什么；我們應(yīng)該如何定量評(píng)估PI平臺(tái)創(chuàng)新，使用哪些方法（Joshi和Gupta 2019；Almohri、Chinnam和Colonimo 2019）。
未來(lái)物理世界中的一切都將在數(shù)字空間中復(fù)制。數(shù)字孿生（DT）是超連接物理互聯(lián)網(wǎng)的關(guān)鍵驅(qū)動(dòng)力之一。DT可以將物理資產(chǎn)或過程投影到數(shù)字世界中，以反映相應(yīng)對(duì)應(yīng)方的整個(gè)生命周期過程（例如，設(shè)計(jì)、生產(chǎn)、運(yùn)行和維護(hù)）（Tao和Qi，2019）。例如，基于DT技術(shù)，在線電子商務(wù)和離線交付產(chǎn)生的大量數(shù)據(jù)可以被挖掘、建模和分析，以實(shí)現(xiàn)數(shù)據(jù)驅(qū)動(dòng)的優(yōu)化（Ivanov、Dolgui、Das和Sokolov 2019）。我們還將DT技術(shù)視為網(wǎng)絡(luò)物理系統(tǒng)、工業(yè)4.0、物聯(lián)網(wǎng)、大數(shù)據(jù)分析、人工智能、先進(jìn)追蹤跟蹤技術(shù)、可穿戴設(shè)備、增材制造等的結(jié)合（Kong、Luo、Huang和Yang，2018）。
超連接物理互聯(lián)網(wǎng)的成功部署將依賴于技術(shù)和管理目標(biāo)的結(jié)合。但是，很多DT技術(shù)和數(shù)據(jù)驅(qū)動(dòng)的文獻(xiàn)在很大程度上是脫節(jié)的，沒有太多地強(qiáng)調(diào)新的科學(xué)貢獻(xiàn)。跨學(xué)科研究也需要建立新的理論來(lái)檢驗(yàn)數(shù)字孿生和數(shù)據(jù)驅(qū)動(dòng)之間的相互作用。本期特刊通過特別鼓勵(lì)為重大的理論突破提供對(duì)數(shù)字孿生和數(shù)據(jù)驅(qū)動(dòng)接口的洞察的研究來(lái)解決這一空白。特刊接受基于數(shù)據(jù)驅(qū)動(dòng)方法和嚴(yán)格全面理論的科學(xué)貢獻(xiàn)。我們歡迎涉及多個(gè)行業(yè)的各種主題。我們也在尋找不僅以新穎的方式解決當(dāng)代PI挑戰(zhàn)，而且將成為未來(lái)進(jìn)行研究的范式的論文。
潛在主題包括但不限于：
?數(shù)字供應(yīng)鏈孿生和物理互聯(lián)網(wǎng)
?PI/DT平臺(tái)創(chuàng)新的經(jīng)濟(jì)評(píng)估方法
?DT/PI賦能的智能制造
?DT/P賦能的可持續(xù)供應(yīng)鏈
?DT/PI賦能的超連接和城市物流
?DT/PI賦能的超連接和全渠道供應(yīng)鏈
?與物理互聯(lián)網(wǎng)相關(guān)的經(jīng)濟(jì)和統(tǒng)計(jì)貢獻(xiàn)
?數(shù)據(jù)驅(qū)動(dòng)優(yōu)化方法，解決物理互聯(lián)網(wǎng)中的實(shí)際挑戰(zhàn)
?DT/PI賦能的可視性、可追溯性和優(yōu)化對(duì)工業(yè)經(jīng)濟(jì)的影響
?全行業(yè)大規(guī)模物理互聯(lián)網(wǎng)部署案例研究
?人工智能、區(qū)塊鏈和大數(shù)據(jù)分析在物理互聯(lián)網(wǎng)中的應(yīng)用
稿件準(zhǔn)備和提交
投稿前，作者應(yīng)仔細(xì)閱讀期刊的“作者須知”。評(píng)審過程將遵循期刊的慣例。提交給特刊的論文將接受常規(guī)的、徹底的雙盲審查程序。潛在作者應(yīng)表明所提交論文中使用的方法，并根據(jù)以下時(shí)間表通過EES提交完整手稿的電子副本：
?2020年11月30日完成稿件提交
?2021年2月28日完成第一輪審查
?2021年5月31日完成第二輪審查
如有任何疑問，請(qǐng)聯(lián)系特邀編輯（按字母順序）
Eric Ballot (Professor)
MINES ParisTech, PSL Research University, CGS – Centre de Gestion Scientifique, i3 UMR CNRS 9217, Paris, France. E-mail: eric.ballot@mines-paristech.fr
George Q. Huang (Professor, managing GE)
HKU-ZIRI Lab for Physical Internet, Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong. E-mail: gqhuang@hku.hk
Benoit Montreuil (Professor)
Physical Internet Center, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, USA. E-mail: benoit.montreuil@isye.gatech.edu
Hao Luo (Associate Professor)
Department of Transportation Economics and Logistics Management, College of Economics Shenzhen University, China. E-mail: luohao@szu.edu.cn
Xiang T.R. Kong (Assistant Professor)
Department of Transportation Economics and Logistics Management, College of Economics Shenzhen University, China. E-mail: kongxtr@szu.edu.cn
參考文獻(xiàn)
Almohri, H., Chinnam, R. B., & Colosimo, M. (2019). Data-driven analytics for benchmarking and optimizing the performance of automotive dealerships. International Journal of Production Economics, 213, 69-80.
Ballot, E., B. Montreuil, and R. Meller. (2014). The Physical Internet: The Network of Logistics Networks. Paris: La documentation Fran?aise.
Ivanov, D., Dolgui, A., Das, A., & Sokolov, B. (2019). Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility. In Handbook of Ripple Effects in the Supply Chain, Springer, Cham, 309-332.
Joshi, A. D., & Gupta, S. M. (2019). Evaluation of design alternatives of End-Of-Life products using internet of things. International Journal of Production Economics, 208, 281-293.
Kong, X. T., Luo, H., Huang, G. Q., and Yang, X. (2018). Industrial wearable system: the human-centric empowering technology in Industry 4.0. Journal of Intelligent Manufacturing, 1-17.
Mervis, J. (2014). The Information Highway Gets Physical. Science, 344:1104-1107.
Pan, S., Ballot, E., Huang, G. Q., & Montreuil, B. (2017). Physical Internet and interconnected logistics services: research and applications. International Journal of Production Research, 55(9), 2603-2609.
Qiu, X., Luo, H., Xu, G., Zhong, R., & Huang, G. Q. (2015). Physical assets and service sharing for IoT-enabled Supply Hub in Industrial Park (SHIP). International Journal of Production Economics, 159, 4-15.
Sternberg, H., & Norrman, A. (2017). The Physical Internet–review, analysis and future research agenda. International Journal of Physical Distribution & Logistics Management, 47(8), 736-762.
TechCrunch. (2019). Alibaba’s Singles’ Day sales top $38 billion, https://techcrunch.com/2019/11/11/alibaba-singles-day-record/
Tao F. and Qi Q.L. (2019). Make More Digital Twins. Nature, 573, 490-491.