D. James Zhang, Shaunak S. Dabadghao, Maximiliano Udenio
{"title":"Global sourcing under tariffs: A perspective of time series analysis","authors":"D. James Zhang, Shaunak S. Dabadghao, Maximiliano Udenio","doi":"10.1016/j.ijpe.2024.109473","DOIUrl":"10.1016/j.ijpe.2024.109473","url":null,"abstract":"<div><div>Global sourcing is a complex process to acquire products and services from international sources, and therefore is subject to various disruptions. This paper focuses on the effects of the large-scale tariffs during 2018–2019 on global sourcing behaviors. Drawing on tariff implications from analytic models of global supply network design, we specifically examine the patterns of global sourcing and how tariffs could disrupt global supply chains by investigating time series of monthly sourced amounts. We draw 222 manufacturing firms from the FactSet Shipping database, with 3,348,595 unique observations covering time period between January 2014 and December 2019. By applying multivariate time series clustering algorithm, we identify seven unique clusters for these firms. We further examine the disruptive effects of these tariffs by using intervention analysis of time series in each cluster. The results of intervention analysis demonstrates that disruptive effects differ in each cluster. An additional analysis reveals that firm size, growth potential, and firm profitability are associated with firms’ ability to deal with disruptions. Overall, our results have important implications for global supply chain management.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"280 ","pages":"Article 109473"},"PeriodicalIF":9.8,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745541","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}
{"title":"Managing financial investments in supply chain networks: The roles of network power and control","authors":"Di Gao, Yanmei Fan, Jing Zhou","doi":"10.1016/j.ijpe.2024.109476","DOIUrl":"10.1016/j.ijpe.2024.109476","url":null,"abstract":"<div><div>The financialization of firms refers to the phenomenon of non-financial firms increasingly engaging in financial activities rather than traditional production and operational investments. In today's competitive and complex supply chain networks (SCNs), firms do not operate in isolation but heavily rely on their partners. This interdependence may shape their investment behaviours. However, the mechanism of how the network structure affects the financialization of firms in SCNs is yet unclear. Therefore, this study draws on the resource dependence theory to investigate the role of network structure—encompassing network power and control—in shaping corporate financialization in SCNs. We construct SCNs for the focal firms in a sample of 2307 Chinese listed enterprises from 2009 to 2021 and find significantly negative relationships between corporate financialization and both network power and control. This may be because network power and control diminish enterprises' precautionary saving and speculative motivations through financing and information channels. Moreover, their effect on corporate financialization was found to be more pronounced for non-state-owned enterprises (non-SOEs) and firms with low market share, high customer concentration, and distant supply chain geographic proximity. Furthermore, our results indicate that enterprises exhibiting greater network power and control in SCNs tend to reduce their financial investments, which benefits their innovation and total factor productivity. By exploring the factors that influence corporate financialization through a network lens, this study offers valuable insight into the issues regarding financialization, thus promoting the sustainable development of firms and the development of countries' real economies.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"280 ","pages":"Article 109476"},"PeriodicalIF":9.8,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745542","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}
{"title":"Platform's blockchain introduction strategy with considering competition between new and refurbished products","authors":"Shuting Chen, Lei Yang, Qi Kou","doi":"10.1016/j.ijpe.2024.109478","DOIUrl":"10.1016/j.ijpe.2024.109478","url":null,"abstract":"<div><div>As the second-hand market continues to grow, many retail platforms initially specializing in selling new products (e.g., Amazon, JD, and Walmart.com) have begun allowing refurbishers to directly sell refurbished goods on their platforms and gain additional profits. The platform can provide blockchain certification services for refurbishers to eliminate consumers' concerns about quality. In contrast to the existing literature, which primarily examines the introduction of blockchain technology from the perspective of cost factors, this paper investigates the platform's blockchain introduction in the context of competition between the new and refurbished products and its impacts on the manufacturer's and the refurbisher's profitability. Motivated by practices, two prevalent selling modes for the new product are considered: reselling mode (R) and agency selling mode (A). Even without considering the cost of blockchain, we find that the platform may have no incentive to introduce blockchain under both modes because it could trigger a severe cannibalization problem or an excessively high price for the refurbished product. The refurbisher (manufacturer) benefits with (without) blockchain under mode R, but this result occurs under mode A only when the blockchain service fee is low. We also discuss the welfare and environmental implications of blockchain. We find that the selling modes may modify the environmental implications of blockchain, but not the welfare implications of blockchain.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"280 ","pages":"Article 109478"},"PeriodicalIF":9.8,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745539","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}
Alejandro G. Frank , Timothy J. Sturgeon , Guilherme B. Benitez , Giuliano A. Marodin , Samantha Ferreira e Cunha
{"title":"How lean and industry 4.0 affect worker outcomes and operational performance: A quantitative assessment of competing models","authors":"Alejandro G. Frank , Timothy J. Sturgeon , Guilherme B. Benitez , Giuliano A. Marodin , Samantha Ferreira e Cunha","doi":"10.1016/j.ijpe.2024.109475","DOIUrl":"10.1016/j.ijpe.2024.109475","url":null,"abstract":"<div><div>This study explores the relationship between Lean Manufacturing and Industry 4.0, two paradigms that have shaped modern manufacturing. While Lean Manufacturing seeks to optimize sociotechnical systems by integrating workers, processes, and technologies, the focus of Industry 4.0 is to integrate digital technologies into manufacturing processes. Related literature has considered a diversity of relationships between Lean and Industry 4.0 but used contradictory models to explain their associations to operational performance. Also, while much attention has been given to the contribution of Lean and Industry 4.0 to operational performance, little is known about their effect on worker outcomes. Therefore, we aim to investigate how these two paradigms interact and their effects on both operational performance and worker outcomes. We propose competing research models – mediation and moderation – to explain plausible relationships between Lean and Industry 4.0 on worker outcomes and operational performance. We test these models through empirical analysis of survey data from 415 manufacturing companies. Our results reveal that Industry 4.0 technologies act as antecedents when they are used to enhance Lean practices for operational performance (Lean as mediator) but serve as moderators in shaping worker outcomes within Lean systems. We also examine the detailed relationships between specific Lean bundles and Industry 4.0 technologies. Our findings highlight the need to strategically balance the adoption of technologies that support Lean for operational performance improvements with technologies that modify worker activities to enhance overall worker outcomes. We contribute to reconciling different perspectives on Lean and Industry 4.0 in the design of sociotechnical manufacturing systems.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109475"},"PeriodicalIF":9.8,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707259","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}
Shuang Tian , Miao Wang , Lin Wu , Ajay Kumar , Kim Hua Tan
{"title":"Sustainability diffusion in the Chinese semiconductor industry: A stakeholder salience perspective","authors":"Shuang Tian , Miao Wang , Lin Wu , Ajay Kumar , Kim Hua Tan","doi":"10.1016/j.ijpe.2024.109470","DOIUrl":"10.1016/j.ijpe.2024.109470","url":null,"abstract":"<div><div>The semiconductor sector plays a crucial role in shaping national strategies and driving economic growth; however, it faces significant challenges prompting a shift towards sustainable development. This study aims to investigate whether sustainability initiatives of the focal firm can diffuse throughout the semiconductor supply chain, leveraging stakeholder salience theory and archival data from listed firms in China. Methodologically, we conduct a regression analysis using STATA 17.0 to examine the impact of the focal firm's sustainability disclosure on supply chain sustainability. Findings indicate a positive correlation between the focal company's sustainability disclosure and enhanced sustainability performance of its key suppliers and customers. This relationship is strengthened when the focal firm demonstrates significant market power, sustainability legitimacy, and urgency in addressing sustainability concerns. Our study contributes to the sustainable supply chain management literature by elucidating sustainability diffusion from a stakeholder salience perspective and offers practical insights for semiconductor managers and policymakers striving to foster sustainable practices within the sector.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109470"},"PeriodicalIF":9.8,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706875","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}
Ali Keshvarparast, Niloofar Katiraee, Serena Finco, Martina Calzavara
{"title":"Integrating collaboration scenarios and workforce individualization in collaborative assembly line balancing","authors":"Ali Keshvarparast, Niloofar Katiraee, Serena Finco, Martina Calzavara","doi":"10.1016/j.ijpe.2024.109450","DOIUrl":"10.1016/j.ijpe.2024.109450","url":null,"abstract":"<div><div>Integrating collaborative robots into assembly lines represents a significant opportunity for industries to execute tasks autonomously or support human workers in response to the advancements of Industry 4.0. Human-robot collaboration (HRC) is an appropriate solution to enhance the productivity of manual systems compared to traditional robots. However, to ensure the success of HRC implementation, it is necessary to investigate the production systems, considering several influencing factors. Workforce diversity can be mentioned as one of the factors since workers may possess different skills and experience levels, as well as varying levels of fatigue. Therefore, creating a realistic and effective optimization model that includes workforce diversity is crucial. This study proposes a mathematical model to optimize a human-robot collaborative assembly line performance to minimize the cycle time. The model integrates several collaborative scenarios (i.e. sequential, simultaneous, supportive and all possible combinations), and the workforce differences are considered in terms of skill level and fatigue, allowing the flexible selection of collaboration scenarios across the assembly line and assigning workers and cobots to stations based on individual characteristics. Finally, the proposed model is applied in a case study to provide results and some managerial insights for practitioners.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109450"},"PeriodicalIF":9.8,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706876","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}
Rapeepan Pitakaso , Kanchana Sethanan , Chettha Chamnanlor , Shu-Kai S. Fan , Ming-Lang Tseng , Ming K. Lim
{"title":"Optimizing floating crane operations for efficient bulk product transshipments on inland waterways","authors":"Rapeepan Pitakaso , Kanchana Sethanan , Chettha Chamnanlor , Shu-Kai S. Fan , Ming-Lang Tseng , Ming K. Lim","doi":"10.1016/j.ijpe.2024.109469","DOIUrl":"10.1016/j.ijpe.2024.109469","url":null,"abstract":"<div><div>In the realm of global supply chains, the optimization of floating crane operations for bulk product transshipment via inland waterways emerges as a crucial necessity to address economic, operational, and environmental imperatives. This research identifies a significant gap in existing methodologies for the scheduling, routing, and assignment of floating cranes, which are essential for improving efficiency and sustainability in maritime logistics. To bridge this gap, we propose the Reinforcement Learning Variable Neighbourhood Strategy Adaptive Search (RL-VaNSAS) algorithm, a novel integration of reinforcement learning with variable neighbourhood search strategies. This advanced model aims to holistically minimize energy consumption, labor costs, and penalty costs, while simultaneously enhancing service efficiency. Through rigorous simulations, RL-VaNSAS was benchmarked against conventional methods such as Differential Evolution (DE), Genetic Algorithm (GA), and the original Variable Neighbourhood Search Adaptive Strategy (VaNSAS), revealing its superior capability in significantly reducing annual energy costs to $1,211,948, labor costs to $270,948, penalty costs to $19,948, and operational hours to 12,087. Demonstrating notable advancements in operational efficiency and cost reduction, RL-VaNSAS offers a sustainable solution to the dynamic challenges of maritime logistics, characterized by fluctuating vessel arrivals and diverse cargo requirements. The findings illuminate the critical need for innovative optimization techniques in enhancing the sustainability and efficiency of maritime logistics operations. RL-VaNSAS not only fills the identified research gap but also sets a new standard for future endeavors in global supply chain management, underlining the importance of adopting advanced optimization strategies for sustainable production and economic growth.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109469"},"PeriodicalIF":9.8,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706877","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}
Qihuan Zhang , Ziteng Wang , Min Huang , Huihui Wang , Xingwei Wang , Shu-Cherng Fang
{"title":"Collaborative supply chain network design under demand uncertainty: A robust optimization approach","authors":"Qihuan Zhang , Ziteng Wang , Min Huang , Huihui Wang , Xingwei Wang , Shu-Cherng Fang","doi":"10.1016/j.ijpe.2024.109465","DOIUrl":"10.1016/j.ijpe.2024.109465","url":null,"abstract":"<div><div>This paper studies a collaborative robust supply chain network design (CRSCND) problem aimed at maximizing economic and social benefits by enabling enterprises to jointly address demand uncertainties. Through strategies including joint inventory replenishment, shared distribution centers (DCs), and pooled transportation resources, the CRSCND problem seeks to optimize plant and DC locations and the allocation of DCs to customers under a collaborative framework. To address this, we develop two robust optimization models incorporating a budget uncertainty set, each model representing a distinct risk-pooling policy. These models are then reformulated into solvable linear programming structures. Results from numerical experiments confirm the cost-reduction benefits of collaboration and robust optimization. Sensitivity analysis reveals that factors like violated probability and high demand volatility minimally impact cost savings enabled by collaboration and robustness. Moreover, each robust model shows distinct suitability depending on specific scenario parameters. Finally, we test three cost-saving allocation mechanisms, finding that only the Shapley value method yields best allocations in cases involving overlapping demand.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109465"},"PeriodicalIF":9.8,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652524","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}
{"title":"Logistics service sharing in cross-border e-commerce","authors":"Zohreh Khooban, Nevin Mutlu, Ton de Kok","doi":"10.1016/j.ijpe.2024.109460","DOIUrl":"10.1016/j.ijpe.2024.109460","url":null,"abstract":"<div><div>While the demand for cross-border e-commerce has grown rapidly, challenges have emerged for both retailers and consumers participating in this global market. Retailers have been struggling with high logistics costs to fulfill cross-border demand, while the lack of trust in foreign retailers is a major issue for consumers. In this paper, we study a cross-border collaboration scheme between a domestic and a foreign retailer to mitigate these challenges. This entails a co-opetition framework where the domestic retailer performs the last-mile delivery of the foreign retailer’s orders in exchange for a logistics service fee. We model demand via a Multinomial Logit (MNL) choice model where the consumers are trust- and price-sensitive. We compare the market outcomes of the two retailers in “pre-collaboration” and “post-collaboration” settings. We find that there exist win-win outcomes where both retailers benefit from collaboration under realistic settings. We also show that a cooperative mechanism can lead to higher profits for both retailers compared to the non-cooperative mechanism for setting the logistics service fee, if the contract terms are decided carefully.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109460"},"PeriodicalIF":9.8,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652523","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}
{"title":"Implementing intelligent manufacturing policies to increase the total factor productivity in manufacturing: Transmission mechanisms through construction of industrial chains","authors":"Yang Liu , Yuxiao Zuo","doi":"10.1016/j.ijpe.2024.109468","DOIUrl":"10.1016/j.ijpe.2024.109468","url":null,"abstract":"<div><div>In recent years, the Chinese government has focused on implementing intelligent manufacturing policies to improve the total factor productivity of the manufacturing industry. Using a sample of listed manufacturing companies from 2010 to 2022, we examined the long-term economic effects of government intelligent manufacturing policy incentives on the total factor productivity of the manufacturing industry. We systematically explored its transmission mechanism in the construction of industrial chains. The study found that the implementation of intelligent manufacturing policies significantly improved the level of total factor productivity in the manufacturing industry. Mechanism analysis found that intelligent manufacturing policies promoted the construction of the manufacturing industry chain through three paths: optimizing industrial chain integration, enhancing industrial chain spillover, and strengthening industrial chain resilience, thereby promoting the improvement of total factor productivity. Further analysis found significant differences in the implementation effects of different policy types and technology requirements.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109468"},"PeriodicalIF":9.8,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652522","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}