International Journal of Production Economics最新文献_第10页

Enhancing a triple capital-constrained supply chain performance: Alliance financing, profit distribution, and information structure

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2025-01-10 DOI: 10.1016/j.ijpe.2024.109515

Xiaofeng Xie , Xun Xu , Chong Zhang , Fengying Zhang

{"title":"Enhancing a triple capital-constrained supply chain performance: Alliance financing, profit distribution, and information structure","authors":"Xiaofeng Xie , Xun Xu , Chong Zhang , Fengying Zhang","doi":"10.1016/j.ijpe.2024.109515","DOIUrl":"10.1016/j.ijpe.2024.109515","url":null,"abstract":"<div><div>In a contemporary supply chain, the situations in which all upstream, midstream, and downstream participants face capital constraints commonly appear and call for participants to coordinate and form an alliance to adopt supply chain finance (SCF) to optimize their operations and improve performance. Applying a game-theoretic framework, we examine four SCF alliances associated with a capital-constrained supplier, manufacturer, and retailer, respectively, within a triple capital-constrained supply chain (TCSC), including partial and full alliance financing schemes, and compare the participants’ profit, propagation effect of insolvency risk, and supply chain performance with individual financing. Our findings suggest that full alliance financing, although generates more propagation effect of insolvency risk, brings additional profit to all participants in a TCSC than partial or individual financing through reduced double or triple marginalization, as reflected by lower wholesale price, higher order quantity, and lower financing amount. The initial capital level is important in affecting participants’ operational and financial decisions and profits. Regarding profit distribution plans, we find the Shapley value distribution approach is preferred by all parties more than expected profit or even distribution when the collaborative benefits from alliance financing are high. Asymmetric information affects participants’ operational and financial decisions, profits, and the propagation effect of insolvency risk. Our findings guide participants in forming an alliance to apply for financing and coordinate to use the funds to optimize operations, achieve higher profit, implement the Shapley value profit distribution approach, enhance information transparency, and strengthen the intensity of insolvency risk monitoring and control.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"281 ","pages":"Article 109515"},"PeriodicalIF":9.8,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143351182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From platformization to ecosystem: How do third-party supply chain finance platforms develop an ecosystem? An inter-organizational network perspective

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2025-01-10 DOI: 10.1016/j.ijpe.2025.109521

Tianyu Zhang , Fu Jia , Lujie Chen , Constantin Blome , Peter Ball

{"title":"From platformization to ecosystem: How do third-party supply chain finance platforms develop an ecosystem? An inter-organizational network perspective","authors":"Tianyu Zhang , Fu Jia , Lujie Chen , Constantin Blome , Peter Ball","doi":"10.1016/j.ijpe.2025.109521","DOIUrl":"10.1016/j.ijpe.2025.109521","url":null,"abstract":"<div><div>The significance of the supply chain finance (SCF) ecosystem has been acknowledged by both scholars and practitioners, with platforms playing a pivotal role in its development. However, the platform-centric SCF ecosystem formation process remains ambiguous. Adopting an inter-organizational network perspective, this study investigates how third-party SCF platforms leverage their capabilities to construct SCF networks, thereby nurturing the formation of the SCF ecosystem. To do this, we conduct an exploratory multiple case study of four SCF platforms, informed by 49 semi-structured interviews with key personnels in platforms and their partners, including banks and platform users. We identify four critical SCF platform capabilities: information processing, financial network structuring, stakeholder relationship management, and SCF process management, and SCF platforms deploy their capabilities to facilitate network development and eventually facilitate the SCF ecosystem formation. Specifically, we identify the tripartite evolutionary process of the platform-centric SCF ecosystem—supply chain (SC) service platformization, SCF platformization, and SCF platform ecosystem—in which the role of platforms evolves from basic SC service providers to resource integrators, eventually becoming resource orchestrators in SCF. During this process, each stage prioritizes a network characteristic for the SCF network to evolve (i.e., initial stage prioritizes reach, the intermediary emphasizes richness, and the final values receptivity). These findings have significant theoretical and practical relevance to SCF theory elaboration and practices.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"281 ","pages":"Article 109521"},"PeriodicalIF":9.8,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143194273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging artificial intelligence to facilitate green servitization: Resource orchestration and Re-institutionalization perspectives

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2025-01-10 DOI: 10.1016/j.ijpe.2025.109519

Soumyadeb Chowdhury , Shuang Ren , Robert Glenn Richey Jnr.

{"title":"Leveraging artificial intelligence to facilitate green servitization: Resource orchestration and Re-institutionalization perspectives","authors":"Soumyadeb Chowdhury , Shuang Ren , Robert Glenn Richey Jnr.","doi":"10.1016/j.ijpe.2025.109519","DOIUrl":"10.1016/j.ijpe.2025.109519","url":null,"abstract":"<div><div>Research in operations and supply chain management (O&SCM) has highlighted drivers of digital servitization, along with the influence of Industry 4.0 technologies, such as artificial intelligence (AI). Amidst growing environmental concerns, green servitization (GS) has emerged as a strategic alternative to achieve sustainability. However, few studies have examined the interaction between AI capabilities and GS. To address this gap, this study integrates the resource orchestration theory and theory of institutional entrepreneurship for sustainable organizations, to develop a conceptual model examining the relationship between AI-driven decision support systems (ADSS) capabilities, supply-chain alertness (SCA), resource orchestration (REO), re-institutionalization (REI), circular economy practices (CEP), and GS. A survey was conducted with 248 UK supply chain managers and partial least squares-structural equation modelling was used for analysis. The results indicate that ADSS capabilities will significantly enhance SCA (β = 0.597), and the latter will significantly influence REO (β = 0.461), REI (β = 0.495), and CEP (β = 0.160). We also found that the CEP will significantly impact GS (β = 0.781). Both REO (β = 0.169) and REI (β = 0.142) significantly mediates the relationship between SCA and CEP, i.e., REO and REI will facilitate implementing CEP resulting from AI-driven SCA. These findings highlight the critical role of ADSS in enabling managers to orchestrate resources and implement new institutional frameworks, essential for adopting GS in the supply chain.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"281 ","pages":"Article 109519"},"PeriodicalIF":9.8,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143259474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Functional resonance analysis via a genetic algorithm to ensure cost-effective maintenance planning

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2025-01-08 DOI: 10.1016/j.ijpe.2025.109516

Riccardo Patriarca, Lorenzo Lovaglio, Francesco Simone

{"title":"Functional resonance analysis via a genetic algorithm to ensure cost-effective maintenance planning","authors":"Riccardo Patriarca, Lorenzo Lovaglio, Francesco Simone","doi":"10.1016/j.ijpe.2025.109516","DOIUrl":"10.1016/j.ijpe.2025.109516","url":null,"abstract":"<div><div>The tight interaction between organizations, humans and technologies drives production systems towards an ever-increasing complexity. Novel methods are required to support complex managerial actions and ensure their cost effectiveness. In this context, the objective of this research is to propose a methodology to optimize the maintenance operations of safety-critical production and service systems. The methodology is grounded on the principles of the Functional Resonance Analysis Method (FRAM), that has proved to be an effective approach to study complex socio-technical orchestrations. The FRAM is then integrated with a genetic algorithm (GA) to quantify functional performance indicators capable of optimizing maintenance practices, via an economically advantageous tasks allocation. The methodology is instantiated on a real case study related to maintenance operations of aircraft. Promising results have been obtained in the proposed application: a saving of almost 6% (128 man-hours) in resource allocation over 16 days of work has been highlighted for the real case study at hand. The methodological result provides maintenance planners with a support tool to guide decision making, ensuring cost effectiveness of operations, and emphasizing the direct relationships with economical convenience. Overall, the integration of the FRAM with GA proposed in this paper presents a strategy to address cost-effective maintenance planning in complex systems.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"281 ","pages":"Article 109516"},"PeriodicalIF":9.8,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143194302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cost-effective industrial internet of things network planning for sustainable manufacturing systems

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2025-01-07 DOI: 10.1016/j.ijpe.2025.109517

Lingxiang Yun , Lin Li , Jiapei Zhang , Jingze Guan

{"title":"Cost-effective industrial internet of things network planning for sustainable manufacturing systems","authors":"Lingxiang Yun , Lin Li , Jiapei Zhang , Jingze Guan","doi":"10.1016/j.ijpe.2025.109517","DOIUrl":"10.1016/j.ijpe.2025.109517","url":null,"abstract":"<div><div>The industrial Internet of Things (IoT) has been gaining significant momentum and is considered a promising technology for establishing a foundation for energy and carbon management in the manufacturing sector. Existing management studies commonly assume the availability of IoT data for all manufacturing equipment, yet connecting every single piece of equipment requires enormous investments without necessarily yielding significant improvements in management effectiveness. In practice, the value derived from IoT data collected from diverse manufacturing equipment varies based on the unique features of the equipment and its role within the manufacturing system. Therefore, this study proposes a planning method for cost-effective industrial IoT networks in the context of sustainable manufacturing. The proposed approach jointly considers the quality-of-service requirements of the IoT network and the characteristics of the manufacturing system. It aims to balance the trade-offs between industrial IoT investments and the effectiveness of IoT data-enabled carbon management in manufacturing systems. In addition, an efficient algorithm is developed to solve the network planning problem and identify cost-effective solutions. Case studies on automobile assembly lines indicate the effectiveness of the proposed method in generating economically favorable industrial IoT networks, leading to a 38.9% reduction in industrial IoT implementation costs while maintaining satisfactory carbon emission reduction effects for manufacturing systems.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"281 ","pages":"Article 109517"},"PeriodicalIF":9.8,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143194272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Strategic navigation of supply chain ambidexterity for resilience and agility in the digital era: A review

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2025-01-02 DOI: 10.1016/j.ijpe.2024.109514

Sachin Kumar, Vinay Singh

{"title":"Strategic navigation of supply chain ambidexterity for resilience and agility in the digital era: A review","authors":"Sachin Kumar, Vinay Singh","doi":"10.1016/j.ijpe.2024.109514","DOIUrl":"10.1016/j.ijpe.2024.109514","url":null,"abstract":"<div><div>Navigating the complexities and uncertainties of the modern business landscape requires resilient supply chains to ensure long-term viability and success. Referring to Industry 5.0 principles, Supply Chain Resilience must accommodate the characteristics of adaptability, sustainability, customer centricity, and innovativeness to accommodate the ambidextrous characteristics. The present study aims to address its objectives by examining current trends and themes in Supply Chain Ambidexterity (SCA) and exploring the intricate relationship among Supply Chain Ambidexterity, Resilience, Agility, and Digital Transformation while also identifying possible directions for future research. Through a bibliometric analysis of 290 articles from the Web of Science (WoS) and Scopus databases until August 2024, complemented with a systematic literature review of 77 articles, this research proposed an integrated research framework. It reveals a significant relationship between Digital Transformation, Dynamic capabilities, and their role in enhancing SCA, with Digital Transformation as an influencing factor. The research highlights the influence of SCA on resilience and agility empowered by Digital Transformation. This research also proposes ten propositions based on the systematic literature review and identifies research gaps for each proposition. This study is positioned at the nexus of bibliometric analysis and systematic literature review to identify research trends and provide a s an overall comprehensive overview of SCA in the context of Dynamic Capabilities, Digital Transformation, Supply Chain Resilience, and Agility. Its findings present the current state of research in SCA and, therefore, guide future academic endeavors in the dynamic arena. This research serves as a significant resource by pinpointing existing research gaps, delineating future directions, and providing practical recommendations for implementation within the industry.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"281 ","pages":"Article 109514"},"PeriodicalIF":9.8,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143194233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The big data newsvendor problem under demand and yield uncertainties

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2025-01-01 DOI: 10.1016/j.ijpe.2024.109409

Tiantian Cao , Yi Yang , Han Zhu , Mingyue Yu

{"title":"The big data newsvendor problem under demand and yield uncertainties","authors":"Tiantian Cao , Yi Yang , Han Zhu , Mingyue Yu","doi":"10.1016/j.ijpe.2024.109409","DOIUrl":"10.1016/j.ijpe.2024.109409","url":null,"abstract":"<div><div>We consider a variant of the classic newsvendor problem in which the firms face both demand and yield randomness. Different from the existing literature, we assume that decision-makers have no priori knowledge of the distribution functions of demand and yield, but have access to past observations of demand, yield, and related feature information. We integrate predictive machine learning algorithms to determine the optimal order quantity directly from historical data, respectively based on the empirical risk minimization (ERM) principle, kernel regression approach, <span><math><mi>K</mi></math></span>-nearest neighbors (<span><math><mi>k</mi></math></span>NN), and classification and regression trees (CART). These data-driven approaches can not only sufficiently capture useful information from relevant features, but also take into account the structure of the optimization problem, which can effectively avoid inconsistency solutions in the traditional “prediction-then-optimization” approach. Most importantly, we establish out-of-sample generalization error bounds under mild conditions using uniform stability-based and Rademacher complexity-based methods in computational learning theory and then show the asymptotic optimality of the data-driven approaches based on kernel regression and <span><math><mi>k</mi></math></span>NN. Our data-driven approaches can tractably deal with both independent and interdependent demand and yield uncertainties. Finally, numerical experiments based on both synthetic data and real data are conducted to compare our proposed methods with two traditional benchmark approaches, including the Sample Average Approximation (SAA) approach and the traditional “Predict-then-Optimize” framework based on CART. We observe that our data-driven approaches can achieve significant performance improvement and the one based on the kernel regression method tends to perform the best on real data, with an average daily cost saving of up tp 54.92%.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109409"},"PeriodicalIF":9.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mitigating the negative financial effects of extreme weather events through supply chain analytics

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2025-01-01 DOI: 10.1016/j.ijpe.2024.109441

Yangchun Xiong , Runyue Han , Xiaoxuan Ma , Hugo K.S. Lam , Andrew Lyons

{"title":"Mitigating the negative financial effects of extreme weather events through supply chain analytics","authors":"Yangchun Xiong , Runyue Han , Xiaoxuan Ma , Hugo K.S. Lam , Andrew Lyons","doi":"10.1016/j.ijpe.2024.109441","DOIUrl":"10.1016/j.ijpe.2024.109441","url":null,"abstract":"<div><div>Despite extensive discussions on the value of integrating big data analytics into supply chains, or supply chain analytics (SCA) for short, it remains unclear whether SCA can effectively help firms mitigate the negative financial impacts of extreme weather events. To address this important research question, we first employed the event study methodology to quantify extreme weather events' financial effects in terms of abnormal stock returns. Then, we compared the difference in abnormal stock returns between firms that have adopted SCA and matched control firms without SCA adoption. Our event study results indicate that, although these events affected firms' stock returns negatively, the effects were less severe for firms with (rather than without) SCA adoption. Furthermore, firms having more stable innovation outputs reaped greater benefits from SCA in the extreme weather context. Conversely, firms facing more unstable market demands benefited more from SCA in the extreme weather context. Overall, our research demonstrates the mitigating role played by SCA during extreme weather events but also reveals how this mitigating role is contingent on the firm's internal and external operating uncertainties.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109441"},"PeriodicalIF":9.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Extreme weather and production economics: Insights, challenges, and future directions

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-12-27 DOI: 10.1016/j.ijpe.2024.109504

Tsan-Ming Choi , Hugo K.S. Lam , Joseph Sarkis , Yuanzhu Zhan , Qinghua Zhu

引用次数: 0

Examining the effects of blockchain technology on sales models: A study from the dual perspectives of economy and environment

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-12-26 DOI: 10.1016/j.ijpe.2024.109502

Zichen Zou , Mingwu Liu , Yu Gong , Xinwei Dong , Jiang Duan

引用次数: 0