Khả năng phục hồi tinh gọn: Khung AURA (Sử dụng Năng lực Phục hồi Chủ động) cho quản lý chuỗi cung ứng sau COVID-19

Emerald - Tập 33 Số 4 - Trang 1196-1217 - 2022
Dmitry Ivanov1
1Berlin School of Economics and Law, Berlin, Germany

Tóm tắt

Mục đích

Các khả năng phục hồi của chuỗi cung ứng thường được xem xét dựa trên một số sự kiện dự kiến và được coi là tài sản thụ động, đang "chờ đợi" để sử dụng trong trường hợp khẩn cấp. Tuy nhiên, điều này có thể không hiệu quả. Hơn nữa, đại dịch COVID-19 hiện nay đã phơi bày những khó khăn trong việc triển khai kịp thời các tài sản phục hồi và việc sử dụng chúng để tạo ra giá trị. Chúng tôi trình bày một khung công tác hợp nhất các khía cạnh khác nhau của phục hồi hiệu quả và cho phép sử dụng các khả năng phục hồi để tạo ra giá trị.

Thiết kế/phương pháp/tiếp cận

Chúng tôi hình dung thiết kế của khung AURA (Sử dụng Năng lực Phục hồi Chủ động) cho quản lý chuỗi cung ứng sau COVID-19 thông qua việc thu thập các tài liệu hiện có liên quan đến phục hồi định hướng tạo ra giá trị và các ví dụ thực tiễn, đồng thời bổ sung phân tích của chúng tôi bằng một cuộc thảo luận về các thực hiện thực tiễn.

Kết quả

Dựa trên và tích hợp các khung hiện có của VSC (Chuỗi cung ứng khả thi), RSC (Chuỗi cung ứng có thể cấu hình lại) và LCNSC (Chuỗi cung ứng nhấn mạnh tính không chắc chắn thấp), chúng tôi phát triển một ý tưởng mới trong phương pháp AURA – xem xét phục hồi như một thành phần vốn có, chủ động và tạo ra giá trị trong các quyết định quản lý hoạt động, thay vì như một "lá chắn" thụ động để bảo vệ chống lại các sự kiện hiếm gặp, nghiêm trọng. Chúng tôi xác định 10 lĩnh vực nghiên cứu tương lai cho khả năng phục hồi tinh gọn kết hợp quản lý, nền tảng số và công nghệ.

Từ khóa

#Khả năng phục hồi chuỗi cung ứng #khung AURA #quản lý chuỗi cung ứng sau COVID-19 #tài sản phục hồi #nghiên cứu tương lai.

Tài liệu tham khảo

2018, Agility and resilience as antecedents of supply chain performance under moderating effects of organizational culture within humanitarian setting: a dynamic capability view, Production Planning and Control, 29, 1158, 10.1080/09537287.2018.1542174

Banker, S. (2020), “A very agile supply chain: the inside story of AGCO's response to COVID-19”, available at https://www.forbes.com/sites/stevebanker/2020/04/15/a-very-agile-supply-chain-the-inside-story-of-agcos-response-to-covid-19/ (accessed 2 January 2021).

2020, On metrics for supply chain resilience, European Journal of Operational Research, 287, 145, 10.1016/j.ejor.2020.04.040

2005, An empirically derived agenda of critical research issues for managing supply-chain disruptions, International Journal of Production Research, 43, 4067, 10.1080/00207540500151549

2011, An empirically derived framework of global supply resiliency, Journal of Business Logistics, 32, 347

2021, Supply chain resilience and its interplay with digital technologies, International Journal of Physical Distribution and Logistics Management

2015, Sustainable supply chain management: a modeling perspective, Annals of Operation Research, 229, 213, 10.1007/s10479-015-1853-1

2014, A contingent resource‐based perspective of supply chain resilience and robustness, Journal of Supply Chain Management, 50, 55, 10.1111/jscm.12050

2020, Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing, International Journal of Production Research, 58, 3330, 10.1080/00207543.2019.1685705

2020, Platform supported supply chain operations in the blockchain era: supply contracting and moral hazards, Decision Sciences, 10.1111/deci.12475

2018, Big data analytics in operations management, Production and Operations Management, 27, 1868, 10.1111/poms.12838

2020, Innovative “Bring-Service-Near-Your-Home” operations under Corona-Virus (COVID-19/SARS-CoV-2) outbreak: can logistics become the messiah?, Transportation Research Part E: Logistics and Transportation Review, 140, 101961, 10.1016/j.tre.2020.101961

2004, Building the resilient supply chain, The International Journal of Logistics Management, 15, 1, 10.1108/09574090410700275

2020, Assessment of pre and post-disaster supply chain resilience based on network structural parameters with CVaR as a risk measure, International Journal of Production Economics, 227, 107655, 10.1016/j.ijpe.2020.107655

2020, Exploring supply chain structural dynamics: new disruptive technologies and disruption risks, International Journal of Production Economics, 229, 107886, 10.1016/j.ijpe.2020.107886

2018, Ripple effect in the supply chain: an analysis and recent literature, International Journal of Production Research, 56, 414, 10.1080/00207543.2017.1387680

2020, Does the ripple effect influence the bullwhip effect? An integrated analysis of structural and operational dynamics in the supply chain, International Journal of Production Research, 58, 1285, 10.1080/00207543.2019.1627438

2020, Reconfigurable supply chain: the X-Network, International Journal of Production Research, 58, 4138, 10.1080/00207543.2020.1774679

2020, Blockchain-oriented dynamic modelling of smart contract design and execution control in the supply chain, International Journal of Production Research, 58, 2184, 10.1080/00207543.2019.1627439

2015, The design of a responsive sustainable supply chain network under uncertainty, The International Journal of Advanced Manufacturing Technology, 80, 427, 10.1007/s00170-015-6967-8

2019, Antecedents of resilient supply chains: an empirical study, IEEE Transactions on Engineering Management, 66, 8, 10.1109/TEM.2017.2723042

2021, Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience, International Journal of Production Research, 59, 10.1080/00207543.2019.1582820

2021, Can supply chain risk management practices mitigate the disruption impacts on supply chains' resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era, International Journal of Production Economics, 10.1016/j.ijpe.2020.107972

2020, Leagile supply chain: design drivers and business performance implications, International Journal of Production Research, 58, 5601, 10.1080/00207543.2019.1693660

2016, Marrying supply chain sustainability and resilience: a match made in heaven, Transportation Research-Part E, 91, 306, 10.1016/j.tre.2016.02.007

2021, Intelligent methods and systems for decision-making support: toward digital supply chain twins, International Journal of Information Management, 10.1016/j.ijinfomgt.2020.102281

2020, The rippled newsvendor: a new inventory framework for modelling supply chain risk severity in the presence of risk propagation, International Journal of Production Economics, 228, 107752, 10.1016/j.ijpe.2020.107752

2013, A systems thinking approach for modelling supply chain risk propagation, Supply Chain Management: An International Journal, 18, 523, 10.1108/SCM-11-2012-0366

2019, Managing cyber risk in supply chains: a review and research agenda, Supply Chain Management: An International Journal, 25, 223, 10.1108/SCM-10-2018-0357

2021, A robust location-inventory model for food supply chains operating under disruptions with ripple effects, International Journal of Production Research, 59

2017, Closed-loop supply chain simulation with disruption considerations: a case-study on Tesla, International Journal of Inventory Research, 4, 257, 10.1504/IJIR.2017.090361

2020, Competitive pricing of substitute products under supply disruption, Omega: The International Journal of Management Science, 10.1016/j.omega.2020.102279

2018, A real-option approach to mitigate disruption risk in the supply chain, Omega: The International Journal of Management Science, 88, 133

2019, Resilience assessment of supply networks with disruption propagation considerations: a bayesian network approach, Annals of Operations Research, 10.1007/s10479-019-03350-8

2019, Review of quantitative methods for supply chain resilience analysis, Transportation Research Part E, 125, 285, 10.1016/j.tre.2019.03.001

2020, Ripple effect modeling of supplier disruption: integrated Markov chain and dynamic bayesian network approach, International Journal of Production Research, 58, 3284, 10.1080/00207543.2019.1661538

2020, Conceptualization and measurement of supply chain resilience in an open-system context, IEEE Transactions on Engineering Management, 10.1109/TEM.2020.3026465

2020, Sourcing with recycled materials: a contingent sourcing model with supply unavailability and setup time uncertainty for ripple effect mitigation, International Journal of Production Research

2017, Simulation-based the ripple effect modelling in the supply chain, International Journal of Production Research, 55, 2083, 10.1080/00207543.2016.1275873

2018, Structural Dynamics and Resilience in Supply Chain Risk Management

2018, Revealing interfaces of supply chain resilience and sustainability: a simulation study, International Journal of Production Research, 56, 3507, 10.1080/00207543.2017.1343507

2019, Disruption tails and revival policies: a simulation analysis of supply chain design and production-ordering systems in the recovery and post-disruption periods, Computers and Industrial Engineering, 127, 558, 10.1016/j.cie.2018.10.043

2020, Predicting the impact of epidemic outbreaks on the global supply chains: a simulation-based analysis on the example of coronavirus (COVID-19/SARS-CoV-2) case, Transportation Research Part E, 136, 101922, 10.1016/j.tre.2020.101922

2020, Viable supply chain model: integrating agility, resilience and sustainability perspectives – lessons from and thinking beyond the COVID-19 pandemic, Annals of Operations Research, 10.1007/s10479-020-03640-6

2020, ‘A blessing in disguise’ or ‘as if it wasn't hard enough already’: reciprocal and aggravate vulnerabilities in the supply chain, International Journal of Production Research, 58, 3252, 10.1080/00207543.2019.1634850

2020, Coronavirus (COVID-19/SARS-CoV-2) and supply chain resilience: a research note, International Journal of Integrated Supply Management, 13, 90, 10.1504/IJISM.2020.107780

2019, Low-Certainty-Need (LCN) Supply Chains: a new perspective in managing disruption risks and resilience, International Journal of Production Research, 57, 5119, 10.1080/00207543.2018.1521025

2020, A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0, Production Planning and Control, 10.1080/09537287.2020.1768450

2020, Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak, International Journal of Production Research, 58, 2904, 10.1080/00207543.2020.1750727

2021, OR-Methods for coping with the ripple effect in supply chains during COVID-19 pandemic: managerial insights and research implications, International Journal of Production Economics, 232

2020, Coordination of production and ordering policies under capacity disruption and product write-off risk: an analytical study with real-data based simulations of a fast moving consumer goods company, Annals of Operations Research, 291, 387, 10.1007/s10479-017-2643-8

2014, The ripple effect in supply chains: trade-off efficiency-flexibility-resilience's in disruption management, International Journal of Production Research, 52, 2154, 10.1080/00207543.2013.858836

2015, Integration of aggregate distribution and dynamic transportation planning in a supply chain with capacity disruptions and ripple effect considerations, International Journal of Production Research, 53, 6963, 10.1080/00207543.2014.986303

2018, Scheduling of recovery actions in the supply chain with resilience analysis considerations, International Journal of Production Research, 56, 6473, 10.1080/00207543.2017.1401747

2019, The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics, International Journal of Production Research, 57, 829, 10.1080/00207543.2018.1488086

2020, Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management, International Journal of Production Research, 10.1080/00207543.2020.1798035

2021, A control approach to scheduling flexibly configurable jobs with dynamic structural-logical constraints, IISE Transactions, 53, 21, 10.1080/24725854.2020.1739787

2021, Antecedents and consequences of supply chain risk management capabilities: an investigation in the post-coronavirus crisis, International Journal of Production Research

2011, Supply chain resilience in the global financial crisis: an empirical study, Supply Chain Management, 16, 246, 10.1108/13598541111139062

2010, The design of robust value-creating supply chain networks: a critical review, European Journal of Operational Research, 203, 283, 10.1016/j.ejor.2009.06.011

2020, Open manufacturing: a design-for-resilience approach, International Journal of Production Research, 58, 4647, 10.1080/00207543.2020.1770894

2021, Modelling of risk transmission and control strategy in the transnational supply chain, International Journal of Production Research, 59, 148, 10.1080/00207543.2019.1698782

2020, Exploring supply chain network resilience in the presence of the ripple effect, International Journal of Production Economics, 228, 107693, 10.1016/j.ijpe.2020.107693

2020, Network characteristics and supply chain resilience under conditions of risk propagation, International Journal of Production Economics, 223

2020, Ripple effect in the supply chain network: forward and backward disruption propagation, network health and firm vulnerability, European Journal of Operational Research, 10.1016/j.ejor.2020.09.053

Linkov, I. and Kott, A. (2019), “Fundamental concepts of cyber resilience: introduction and overview”, in Kott, A. and Linkov, I. (Eds), Cyber Resilience of Systems and Networks, Springer, Cham, pp. 1-25.

2020, Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: an agent-based simulation study, International Journal of Production Economics, 228, 107882, 10.1016/j.ijpe.2020.107882

2019, Roles of inventory and reserve capacity in mitigating supply chain disruption risk, International Journal of Production Research, 57, 1238, 10.1080/00207543.2018.1504173

2018, Supply chain risk and resilience: theory building through structured experiments and simulation, International Journal of Production Research, 56, 4337, 10.1080/00207543.2017.1421787

2021, Robust optimisation for ripple effect on reverse supply chain: an industrial case study, International Journal of Production Research, 59, 245, 10.1080/00207543.2020.1740348

2020, A production recovery plan in manufacturing supply chains for a high-demand item during COVID-19, International Journal of Physical Distribution and Logistics Management, 10.1108/IJPDLM-04-2020-0127

2018, A quantitative and simulation model for managing sudden supply delay with fuzzy demand and safety stock, International Journal of Production Research, 56, 4377, 10.1080/00207543.2017.1412528

2019, Optimization of network redundancy and contingency planning in sustainable and resilient supply chain resource management under conditions of structural dynamics, Annals of Operations Research, 10.1007/s10479-019-03182-6

2020, Integrated detection of disruption scenarios, the ripple effect dispersal and recovery paths in supply chains, Annals of Operations Research, 10.1007/s10479-019-03454-1

2010, Ensuring supply chain resilience: development of a conceptual frame work, Journal of Business Logistics, 31, 1, 10.1002/j.2158-1592.2010.tb00125.x

2009, Understanding the concept of supply chain resilience, The International Journal of Logistics Management, 20, 124, 10.1108/09574090910954873

2020, Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review, Annals of Operations Research, 10.1007/s10479-020-03685-7

2019, Blockchain and supply chain management integration: a systematic review of the literature, Supply Chain Management, 25, 241, 10.1108/SCM-03-2018-0143

2020, Industry 4.0 and resilience in the supply chain: a driver of capability enhancement or capability loss?, International Journal of Production Research, 58, 5006, 10.1080/00207543.2020.1736724

2020, Distributed ledger technology in supply chains: a transaction cost perspective, International Journal of Production Research, 58, 2124, 10.1080/00207543.2019.1657247

2018, Industry 4.0: smart scheduling, International Journal of Production Research, 57, 3802

2020, Supply Chain Disruption Management, 2nd ed.

Schatteman, O., Woodhouse, D. and Terino, J. (2020), “Amid crisis and disruption, supply networks designed for low-cost and minimal inventory pose a major risk”, available at: https://www.bain.com/insights/supply-chain-lessons-from-covid-19/ (accessed 18 June 2020).

2018, Supply chain disruption propagation: a systemic risk and normal accident theory perspective, International Journal of Production Research, 56, 43, 10.1080/00207543.2017.1355123

2015, The role of collaboration in supply chain resilience, Supply Chain Management: An International Journal, 20, 471, 10.1108/SCM-11-2014-0386

2005, A supply chain view of the resilient enterprise, MIT Sloan Management Review, 47, 41

2015, Identifying risks and mitigating disruptions in the automotive supply chain, Interfaces, 45, 375, 10.1287/inte.2015.0804

2020, Impact of COVID-19 on logistics systems and disruptions in food supply chain, International Journal of Production Research, 10.1080/00207543.2020.1792000

2020, Scheduling in Industry 4.0 and Cloud Manufacturing

2012, A control engineering approach to the assessment of supply chain resilience, International Journal of Production Research, 50, 6162, 10.1080/00207543.2012.710764

Stolberg-Larsen, M. (2020), “Deep-tier financing: what is it and why should you care?”, available at: https://www.theglobaltreasurer.com/2019/12/06/deep-tier-financing-what-is-it-and-why-should-you-care/ (accessed 1 January 2021).

2016, Complex interdependent supply chain networks: cascading failure and robustness, Physica A, 443, 58, 10.1016/j.physa.2015.09.082

2015, Resilient supplier selection and order allocation under operational and disruption risks, Transportation Research Part E, 79, 22, 10.1016/j.tre.2015.03.005

2020, Industry 4.0 and the supply chain digitalisation: a blockchain diffusion perspective, Production Planning and Control, 1

2020, Procurement decisions and information sharing under multi-tier disruption risk in a supply chain, International Journal of Production Research, 58, 1362, 10.1080/00207543.2019.1634296

2020, Does digitalising the supply chain contribute to its resilience?, International Journal of Physical Distribution and Logistics Management