Strategic Supply Chain Research Articles

Comparison of deep and conventional machine learning models for prediction of one supply chain management distribution cost

Strategic supply chain management (SCM) is essential for organizations striving to optimize performance and attain their goals. Prediction of supply chain management distribution cost (SCMDC) is one branch of SCM and it’s essential for organizations striving to optimize performance and attain their goals. For this purpose, four machine learning algorithms, including random forest (RF), support vector machine (SVM), multilayer perceptron (MLP) and decision tree (DT), along with deep learning using convolutional neural network (CNN), was used to predict and analyze SCMDC. A comprehensive dataset consisting of 180,519 open-source data points was used for analyze and make the structure of each algorithm. Evaluation based on Root Mean Square Error (RMSE) and Correlation coefficient (R2) show the CNN model has high accuracy in SCMDC prediction than other models. The CNN algorithm demonstrated exceptional accuracy on the test dataset, with an RMSE of RMSE of 0.528 and an R2 value of 0.953. Notable advantages of CNNs include automatic learning of hierarchical features, proficiency in capturing spatial and temporal patterns, computational efficiency, robustness to data variations, minimal preprocessing requirements, end-to-end training capability, scalability, and widespread adoption supported by extensive research. These attributes position the CNN algorithm as the preferred choice for precise and reliable SCMDC predictions, especially in scenarios requiring rapid responses and limited computational resources.

BRalu Profile: the procurement strategy

Learning outcomes After completion of the case study, students will be able to understand BRalu Profile’s product range, customer base and historical developments; analyze how BRalu Profile’s procurement strategy evolved and its impact on business profitability; calculate and compare procurement costs and evaluate their role in decision-making for different suppliers; examine how market conditions (includes domestic and international dynamics) and pricing strategies influence procurement choices; assess the pros and cons of different procurement options and make informed recommendations based on supply chain principles; and identify potential procurement risks (e.g. currency exchange rates and supplier reliability) and propose strategies to mitigate them. Case overview/synopsis This case study explored the challenges faced by BRalu Profile, a prominent aluminum profile products company based in Ahmedabad, India. It focused on the critical task of supplier evaluation, selection and the complexities of maintaining relationships with existing suppliers. This case study delved into the intricate dynamics of procurement decisions within the supply chain and their direct impact on the firm’s overall performance. It also emphasized the supply chain’s susceptibility to disruptions and their consequences on company operations and supplier selection criteria. The protagonist, Dhaval Choladiya, had to navigate the complexities of cost-benefit analysis to identify the most suitable supplier, maximizing the firm’s net benefit while considering nonpricing parameters. This case study revealed the critical importance of maintaining strong supplier relationships in a competitive market and offered insights into the complexities of sourcing. Complexity academic level This case study is suitable for an undergraduate or graduate-level course on strategic sourcing or supply chain management or a risk management module in operations, strategy or finance course (e.g. how to deal with input cost fluctuations). Supplementary materials Teaching notes are available for educators only. Subject code CSS 11: Strategy.

Reshaping of Global Shipping Dynamics: Implications for Strategic Resilience Capabilities, Marketing Capabilities, Supply Chain Orientation Capabilities and Port Competitiveness in Indonesia

The phenomenon of dynamic maritime environment have affected port business and it is substantially changing the business environment in which large-scale container trade growth is being facilitated. In this paper will illustrate the dynamic features of port users, discuss the port competition strategy and analyse the marketing strategic for port business under transformation phases. Using qualitative methods using case studies through a literature review and empirical evidence to prove, deepen and expand the results of the study. In this article, we develop and examine the implication such marketing capabilities approach to the effectiveness of the marketing strategies and strategic resilience capabilities to determine sustainable competitive performance. Based on a discussion among with its managements, this paper could prove a conceptual framework in which strategic resilience capabilities and supply chain orientation capabilities have a profound impact on the company’s sustainable competitive performance.

Digital Transformation in SMEs Emerging Technological Tools and Technologies for Enhancing the SME's Strategies and Outcomes

This study aims to conduct a comprehensive analysis of digital transformation which involves the integration of digital technology into all sectors of SMEs, resulting in increased efficiency and enhanced customer service, enables SMEs to reduce overall expenditure by optimizing operational and marketing costs, thereby allowing to focus on value-adding activities, supports SMEs' technology innovation development models and strategies for fostering technological innovation within SMEs. The research identifies the difficulties encountered by SMEs during the implementation of digital transformation initiatives. Additionally, it seeks to acknowledge emerging trends in digital transformation that may affect SMEs and offer advice on proactively embracing technological advancements to sustain competitiveness. This is a mixed-method research project utilizing systematic review and deductive methods to gather qualitative data.Top of FormBottom of Form SMEs currently employing digital transformation were purposefully selected based on criteria such as authorship, publication date, sample size, and variables for this study. Furthermore, this research involved conducting thorough interviews and observations to delve into the technological innovations pursued by the participants. It was found that there are some factors of digital transformation in SMEs' technology innovation: Enhanced Operational Efficiency, Improved Customer Engagement, Global Market Access, Data driven decision making. Hence, Digital transformation in SMEs contribute autonomously to the expenses of technological innovation to foster business sustainability. This necessitates a strategic focus on enhancing consumer services and fostering a favorable attitude toward innovation in SMEs' business practices and development through technology. This study examines obstacles to SME technology innovation in production, business models, technology adoption, and strategic approaches, without analyzing costs related to SME-driven digital transformation. Future studies could investigate obstacles across various SME sectors to enhance digital tools, underscore the significance of SMEs adopting technology, integrating strategic supply chain management, and broadening their business strategies to attain sustainable development.

System model of risks and trees of alternative solutions for improving the logistics chain at a manufacturing enterprise

The subject of this article is the decision-making processes for improving the elements of the supply chain of a manufacturing enterprise under conditions of uncertainty and risks. The purpose of the research is to reduce the time and cost of in supply and distribution of products of manufacturing enterprises by considering possible risks through making rational management decisions. The article addresses the following tasks: examination of the characteristics of supply chain elements; investigation of the main problems of supply and distribution management and identification of ways to solve them; development of a systemic model of logistic risks for a manufacturing enterprise; and formation of decision trees for alternative decisions in strategic supply chain management at manufacturing enterprises. The methods applied include a systems approach, structural decomposition methods, a risk-oriented approach. The following results were obtained: features and problems of supply chain elements such as supply, production, storage, and distribution were examined and identified; main supply chain management tasks were investigated and solutions identified; problems in warehouse management were pinpointed; internal and external supply risks were identified; a systemic model of logistic risks for a manufacturing enterprise was formed, which main components are logistic problems, partial risks, their consequences, and possible management decisions to mitigate risks; decision trees were built for problems of raw material supply instability and transportation bottlenecks and delays; an alternative decision diagram was constructed for an illustrative example. Conclusions: To overcome the problem of raw material supply instability, it is recommended to develop diversification of supply sources, stock reservation, and the use of alternative transport routes. Building alternative decision trees in strategic management is an effective tool for making rational decisions by manufacturing enterprises in complex conditions of uncertainty and risks. They help to analyze alternatives and their consequences to choose a path to optimize the supply chain.

Unlocking circular supply chain 4.0: identifying key barriers through bibliometrics and TISM-MICMAC

PurposeThis paper examines the dynamic interplay between Circular Economy (CE) and Supply Chain (SC). Further, this paper develops a framework indicating the transition from conventional SC to SC 4.0. As it addresses the separate bodies of literature on CE and SC 4.0, the study attempts to bridge the gap by examining barriers to SC 4.0 adoption in CE.Design/methodology/approachThe article integrates bibliometric analysis with Total Interpretive Structural Modeling (TISM) and MICMAC analysis, thereby enriching the methodological rigour in investigating the barriers to SC 4.0 adoption within the CE context.FindingsThe paper provides insights into research trends, influential scholars, journals and prominent institutions through bibliometric analysis. Also, the findings identify four broad areas of driving, autonomous, linkage and dependent barriers to facilitate a comprehensive understanding of their impact and interdependencies.Research limitations/implicationsThe findings imply that effective policy interventions, enhanced management practices, and the adoption of technological innovations are essential for overcoming barriers to SC 4.0. The research recommends that stakeholders focus on fostering collaborative networks, building competencies in line with CE requirements, and leveraging big data for strategic supply chain decision-making.Originality/valueThis work contributes to the advancement of the circular digital supply field by consolidating research streams, uncovering innovation prospects, and shaping a well-informed research agenda. The distinct contribution lies in its categorization of these barriers into driving, autonomous, linkage, and dependent barriers, offering a novel perspective on the structural dynamics impeding the integration of SC 4.0 in CE.

Managing risk in emergency supply chains – An empirical study

ABSTRACT Relief organisations face significant logistical challenges in the aftermath of natural disasters, characterised by volatile environments. Effective risk management in these contexts hinges on the identification, evaluation, and mitigation of potential risk events. This study addresses this critical need by aiming to identify and prioritise the most critical strategies to improve resilience. To achieve this, a novel framework, the Fuzzy Analytical Hierarchy Process - A fuzzy Technique for Order Performance by Similarity to Ideal Solution (FAHP-FTOPSIS), is proposed. An empirical application demonstrates that this framework effectively and systematically prioritises strategies for mitigating risks. This study examined existing mitigation strategies and identified eight that are particularly significant. Among these, collaboration and coordination, flexible transportation capabilities, and flexible supply bases emerged as the three most critical mitigation strategies for emergency supply chains. This finding emphasises the importance of prioritising these critical strategies in the development of strategic emergency supply chain plans. The practical implementation of these strategies, substantiated by empirical data from credible sources, would significantly enhance the preparedness of stakeholders and relief actors. This translates to a proactive ability to anticipate and respond to potential risk factors, ultimately leading to a more effective response to natural disasters.

Building supply chain management programs for the economic development of the region

At times, universities are charged with helping stimulate the local economy. This study considered how the supply chain management programs at a regional university could be modified in order to provide a positive impact on the economic development of the region. Through a mixed methods action research approach that incorporated a neural network, key themes were uncovered that led to the modification, design, and implementation of strategic supply chain management curricular offerings that were targeted towards addressing the local businesses’ felt needs. As a result of this study, adjustments were made to the supply chain management program that were helpful to the local industry and provided an added revenue stream for the department.

Sustainable multi-biofuel production with stochastic lead time and optimum energy utilization under flexible manufacturing

Many nations obtain their energy from fossil fuels. The benefit of renewable energy is that it decreases the dependence on conventional fuel, and minimizes carbon emissions. However, the commercial feasibility of multi-biofuel production poses a major challenge. A resilient and cost-efficient biofuel supply chain network is essential for commercialization. Furthermore, disruption risks arise from operational downtime, labor strikes, natural disasters, and uncertainty embedded in the data compromise the effectiveness of tactical and strategic level supply chain planning. In line with the aforementioned requirements, a multi-biofuel supply chain network model that reduces the total system cost and accounts for both disruption and operational risks is proposed. The proposed model determines the optimal production–distribution quantities and supports facility location and capacity decisions against multiple supply and demand interruption scenarios. The lead time crashing cost is utilized here to reduce the lead time, which increases because of transportation disruptions. To decrease energy expenses and carbon emissions, a variable production rate is applied for creating an economic way to advance the manufacturing industry. The model aims to show bioenergy’s effect on making a sustainable multi-biofuel supply chain network. Two numerical examples are used to illustrate the effectiveness of the proposed model. It is seen that by utilizing the presented method, the production cost of biofuels is significantly reduced through minimized energy consumption and carbon emissions. Moreover, the impact of critical parameters on the total system cost is explained through sensitivity analysis and graphical representations. The effort provides a systematic guideline for designing various environmental, economic, and social aspects of a sustainable supply chain network for bioenergy under minimized consumption. Multi-biofuel producers, distributors, investors, and the regulators surely be benefitted from the proposed model.

Integration of Emerging Technologies AI and ML into Strategic Supply Chain Planning Processes to Enhance Decision-Making and Agility

Purpose: The aim of this research was to discuss the use of artificial intelligence (AI), machine learning (ML), and big data analytics as fundamental pillars of strategic supply chain management, for better decision-making, more precise forecasting, and higher supply chain agility. Methodology: The paper reviewed existing literature and industry reports to get an in-depth insight into the modern supply chain planning environment, the problems that it faces, and the efficiency of traditional techniques. It then analyzed the opportunities of utilization of AI, ML and big data analytics as well as the certain technologies or techniques that could be utilized, such as the predictive/prescriptive analytics, digital twins and blockchain. Findings: The study concluded that the traditional supply chain planning processes are becoming more and more out of style and inefficient, taking into account the business environment that are constantly changing, global supply chains, and technological advancements. It emphasized the risks to long-term performance associated to relying too much on the past practices and a call for action for progressive modernization of supply chain planning mechanisms. Unique Contribution to Theory, Practice and Policy: The report pointed to innovative ways such as AI, ML, and big data analytics for the integration into the supply chain operations for increasing the productivity, resilience and competitiveness. Moreover, it promoted the increase of budgeting on the talent side in order to obtain an appropriate use of technology and to explore new paths in the market.

The Perceived Influence of Supply Chain Decisions on Overall Business Profitability

The demand for supply chain decisions is unending and continuously demands that managers be well equipped to make rational and effective decisions cost effectively to enhance business performance. This research aims to investigate the perceived influence of tactical, operational and strategic supply chain decisions on overall business profitability within the context of Kurdistan’s real estate companies. This study contributes to the academic understanding of the role of supply chain decisions in real estate profitability, providing a foundation for further research in the field. 3 hypotheses linking tactical, operational and strategic supply chain decisions with overall business performance were formulated. A multiple regression model was estimated using 362 questionnaire observations collected from Kurdistan real estate companies’ supply chain managers, project managers, procurement officers, and executives involved in decision-making processes in Erbil. The findings demonstrated that tactical, operational and strategic supply chain decisions positively impact overall business performance. Of paramount importance are the findings denoting that tactical supply chain decisions insignificantly enhance overall business performance because of their short-term nature. The study concludes that understanding and effectively implementing tactical supply chain decisions can lead to a direct and significant impact on overall business profitability. To optimize tactical supply chain decisions to positively impact overall business profitability and ensure a competitive edge in the market, real estate managers can strategies encompassing the application of data-driven decision making, integrated supply chain planning, optimize inventory management, vendor and supplier collaboration, streamlined procurement processes, and efficient transportation and logistics methods.

Nurturing family business resilience through strategic supply chain management

PurposeThe study aspires to enhance comprehension of the intricate interplay between supply chain management (SCM) and resilience in family businesses, thereby offering valuable insights to managers and policymakers endeavouring to foster resilience in uncertain environments.Design/methodology/approachCommencing from the premise that family businesses (FBs) prioritize the preservation of socio-emotional wealth (SEW) when formulating strategic decisions, this study endeavours to advance understanding of supply chain practices adopted by FBs and their direct impact on resilience during crisis situations or economically challenging periods. Through an exploratory case study of nine FBs, the present research reveals four pivotal strategies in SCM that contribute to their resilience: (i) reorganization of inventory management; (ii) cultivating close relationships with suppliers; (iii) emphasizing product quality and customer retention; and (iv) implementing cost reduction measures to bolster resilience. The aim of the study is to provide an in-depth understanding of the intricate interplay between SCM and resilience in FBs, thereby offering valuable insights to managers and policymakers endeavouring to foster resilience in uncertain environments.FindingsOur approach offers a theoretical framework for SCM aligned with prior research on the interplay between characteristics of family businesses and resilience strategies. Furthermore, this paper illustrates how factors such as the emphasis on high-quality products and services by family businesses contribute to achieving non-economic objectives that owners adopt to reconcile family and business needs, creating intrinsic added value for the company. It reveals various challenges in SCM, including inventory organization changes, supplier closures and the significance of customer retention. Family businesses are implementing product and technology enhancements and leveraging digitization to enhance supply chain processes.Originality/valueThis paper contributes significantly to the field of FBs by highlighting the crucial role of SCM in enhancing business resilience during crises. It empirically examines how the SEW characteristics of FBs influence the reconfiguration of their supply chains to enhance resilience, presenting a theoretical model for this context. Our theoretical framework employs an SEW perspective to elucidate how FBs respond to the challenges posed by the COVID-19 pandemic by adapting their SCM processes to safeguard their social and emotional legitimacy, organizational visibility and reputation. These adaptations gain particular relevance during crises or turbulent conditions, potentially leading to alterations in how FBs formulate their supply chain strategies and manage supply chain-related processes.

Hide away from implication: potential environmental reputation spillover and strategic concealment of supply chain partners’ identities

PurposeThis research investigates whether focal firms employ strategic supply chain information disclosure, focusing on the concealment of supplier and customer identities, as part of their supply chain environmental risk management strategies (supplier sustainability risk and customer loss risk, respectively).Design/methodology/approachUsing a panel dataset of Chinese listed firms from 2009 to 2019 and utilizing the suppliers’ environmental punishment of peer firms (peer events) as an exogenous shock and employing ordinary least squares (OLS) estimation, this study conducts a regression analysis to test how focal firms disclose the identities of their suppliers and customers.FindingsOur results indicate that focal firms prefer to hide the identities of their suppliers and customers following the environmental punishment of peer firms’ suppliers. In addition, supplier concentration weakens the effect of withholding supplier identities, whereas customer concentration strengthens the effect of hiding customer identities. Mechanism analysis shows that firms hide supplier identities to avoid their reputation being affected and hide customer identities to prevent the deterioration of customers’ reputations and thus impact their market share.Originality/valueOur study reveals that reputation spillover is another crucial factor in supply chain transparency. It is also pioneering in applying the anonymity theory to explain focal firms’ information disclosure strategy in supply chains.

Decentralized production concepts for bio-based polymers - implications for supply chains, costs, and the carbon footprint

This paper presents a multi-dimensional evaluation of decentralized production networks based on modular production plants. The main objective of this evaluation is to examine the effects of different degrees of decentralization in production networks of the chemical industry. Using the production of a biopolymer as an example, the study includes strategic supply chain planning by agent-based simulations, economic evaluation by calculation of net present values and environmental assessment by calculation of carbon footprints. By allowing for dynamic reconfiguration of the decentralized networks over time, it is shown that mobile, modular plant concepts are beneficial to reduce supply chain expenses. Transportation efforts resulting from strategic supply chain planning are reduced by 40 % with increasing degree of decentralization. The profitability of the decentralized networks is dominated by the costs for the production processes themselves as capital and operational expenditures allocate to >50 % of the total costs. Product prices of 3000 to 5500 €2020 per ton are necessary to reach profitability of the decentralized production networks. Regarding the environmental assessment, the carbon footprint of the supply chain accounts for <3 % of the total emissions, which are dominated by the provision of process heat that accounts for 46 to 68 % of the total emissions. Carbon footprint of the decentral production networks can be significantly reduced by a systematic electrification of 90 % of the process heat demand.

A Systematic Review of Strategic Supply Chain Challenges and Teaching Strategies

Background: This study provides a comprehensive overview of current supply chain challenges and how they are taught within university circles or among supply chain professionals to simulate reality. Methods: The study applied a systematic literature review, using bibliometric co-citation and concept-centered content analysis for a comprehensive review of 118 relevant articles, leading to the identification of critical challenges in modern supply chain management. Results: These challenges include supplier selection and quality, supply chain networks, and sustainable supply chains. Supply chain educators are encouraged to use games that mirror real-world scenarios to teach these challenges. Results from this review underscore that existing games covered supply chain concepts such as the bullwhip effect, collaboration, networks, supplier selection, quality management, humanitarian logistics, sustainability, lean supply chain, Supply Chain 4.0, and perishable goods supply. Conclusions: The study’s contribution is to assist in selecting games tailored to the supply chain specific aspects and to guide developers in creating realistic games that address recent challenges in supply chain management. It recommends a holistic approach to enhance new supply chain game development, drawing from methodologies such as problem-based learning and Lego Serious Play. This multifaceted approach imparts practical knowledge and comprehensive skills for addressing supply chain intricacies in modern business settings.

Analysing resilience and leagility in post-pandemic sustainable supply chain management: a systematic literature review

PurposeThis study aims to comprehend the role of leagility and resilience in developing sustainable global supply chains, mitigating short-term disruptions and long-term economic impacts from various disasters, in the context of Australian civil infrastructure projects.Design/methodology/approachThe study employs systematic review approach to establish that addressing project success dimensions (i.e. leagility, resilience and sustainability) requires an integrated and extended supply chain approach, encompassing traditional supply chain strategic model elements (i.e. cost/capital, quality and service goals) and supply chain eco-system (i.e. organisations, societies, economies and nature).FindingsThe study underscores the need to enhance supply chain leagility and resilience to achieve sustainability. This can be achieved by developing skills needed to plan across project phases and time frames, aligning with short and long-term organisational goals, assuming smart risks in the face of uncertainty.Research limitations/implicationsThis study extends the traditional supply chain strategic model by introducing new priorities to minimise the consequences of disruptions and to effectively respond to them. The integration of leanness, agility and resilience ensures a sustainable supply chain even in the times of uncertainty, disruption and volatility.Originality/valueThis research provides an opportunity for practitioners and policymakers to rethink and redesign the conventional supply chain model of cost, capital, quality and service objectives. It introduces pioneering concepts by acknowledging and incorporating emerging priorities, especially in Australian civil infrastructure projects. The study integrates leagility and resilience into the existing strategic framework, adding crucial dimensions for sustainable supply chains in infrastructure companies.

Strategic Resilience and Competitive Edge in Durban's Healthcare: Navigating Through Pandemic Disruptions

This study investigates the strategic response of Durban's healthcare industry to the COVID-19 pandemic, focusing on the development of innovative strategies that could provide a competitive advantage. Through a robust mixed-methods approach combining literature review and empirical analysis, the research identifies key adaptive strategies employed by healthcare organisations, such as strategic partnerships, digital transformation, and supply chain resilience. The findings reveal the critical role of agile strategic planning in navigating the unprecedented challenges posed by the pandemic, contributing to the body of knowledge by demonstrating the practical application of strategic management theories in crisis conditions. This study underscores the importance of flexibility, innovation, and stakeholder collaboration in crafting strategies that not only address immediate challenges but also position organizations for post-crisis resilience and growth.

Strategic Supply Chain Management Practices and Performance of Public Service Pension Schemes in Kenya: A Case Study of Public Service Superannuation Fund

Strategic Supply Chain Management Practices and Performance of Public Service Pension Schemes in Kenya: A Case Study of Public Service Superannuation Fund

Symbiotic association of resources and market-facing capabilities in supply chains as determinants of performance: a resource orchestration perspective

PurposeThe purpose of this study is to advance the understanding of resource orchestration in inter-firm partnerships that appropriately configure and align strategic cross-firm supply chain resources and capabilities generating synergies to deliver superior performance.Design/methodology/approachApplying the resource orchestration logic, supported by the relational view of competitive advantage, the study draws from an empirical analysis of survey data from 152 top-level executives of US manufacturing firms to investigate the effect of leveraging and coherently combining cross-firm supply chain resources with capabilities on operational performance.FindingsThe study underscores the view that appropriately orchestrated combinations of key partnership resources and capabilities as mechanisms for marketing strategy implementation, enhance performance. Specifically, research results suggest that complementary inter-firm resources and lean align, and similarly idiosyncratic resources and agility align synergistically to deliver superior operational performance outcomes. The results also accent partnership responses to intense competition, enabling enhanced operational performance. The findings thus enrich the understanding of the resource orchestration logic and strategy, making important theoretical contributions.Research limitations/implicationsAs is typical in marketing and strategy research, the study research design has a cross-sectional framework, thus limiting insights on the resource orchestration dynamics that can otherwise be generated using a longitudinal design. Also, the resource orchestration stream is still nascent. Further research is needed to delineate the orchestration mechanisms that deliver on performance outcomes, especially in supply chains.Practical implicationsA key insight for supply chain and marketing managers is that close-knit inter-firm partnerships are critical for accessing idiosyncratic and complementary resources that can be configured and symbiotically aligned with market-facing agility and lean capabilities, respectively, to deliver market value. Proactive partnerships, especially in highly competitive and disruptive environments, enable mobilizing cross-firm resources and building appropriate matching combinations with capabilities to deliver on operational performance.Originality/valueThe study, guided by theory, advances the understanding of how key cross-firm resources and capabilities deliver performance gains. The key to competitive advantage and enhanced performance outcomes may lie in acquiring, leveraging and deploying appropriately matched resource-capability combinations. The present study investigates this proposition within the context of supply chain partnerships, focusing on cross-firm resources and capabilities.

Characteristics and Implications of the Current International Situation

This article delves into the characteristics of the current international situation and the implications for us. The escalation of the Russia-Ukraine war, as well as war in Israel and Gaza, is intensifying global changes, exacerbating geopolitical and global supply chain adjustments. The U.S. "Indo-Pacific strategy" is accelerating its shift towards the East, rallying traditional allies and some forces near China, increasing containment against China, fostering the expansion of extreme nationalism, and adding to global uncertainty and confrontational sentiments. The U.S. and Europe are aiming to establish new trade rules, attempting to exclude China from strategic supply chains, and increasing risks to the global economic system. Influenced by the laws of development, China and the world are inseparable. The instinct for survival and development sparks China's strong sense of independence and autonomy, leading to the development of new systems, markets, and supply chains. The world is likely to trend towards a stable state of "dual polarity." China and the United States are mutually interdependent and cooperative, and they have an irreplaceable impact on the global socio-economic and political order. Both of them need to enhance strategic insight, uphold constructive dialogue, and attach great importance to strategic artistry in order to steadily progress.