International Journal of Production Economics最新文献

A hybrid data-driven optimization and decision-making approach for a digital twin environment: Towards customizing production platforms 数字孪生环境的混合数据驱动优化和决策方法：定制生产平台

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-10-26 DOI: 10.1016/j.ijpe.2024.109447

{"title":"A hybrid data-driven optimization and decision-making approach for a digital twin environment: Towards customizing production platforms","authors":"","doi":"10.1016/j.ijpe.2024.109447","DOIUrl":"10.1016/j.ijpe.2024.109447","url":null,"abstract":"<div><div>In the Industry 4.0 era, advanced technologies are transforming manufacturing processes and systems. Additionally, the increasing prevalence of big data and AI technologies have made decision-making using manufacturing data increasingly important. However, Small and Medium-sized Enterprises (SMEs) have encountered significant obstacles in adopting these technologies due to resource limitations and constraints. For SMEs, selecting an appropriate production strategy is challenging due to the complexity of manufacturing systems. As a response, this paper proposes a hybrid Simulation-Optimization with Multi-Criteria Decision-Making (SOMCDM) framework for SMEs to identify effective and customized production layouts. In the proposed approach, we model various production scenarios using a cellular manufacturing system. Surrogate models for different production layouts are created to basis functions using Multivariate Adaptive Regression Splines (MARS). Subsequently, the basis functions are used as fitness functions to identify optimal production parameters in a genetic algorithm. Then, optimized parameters are applied to production criteria and ranked using a multi-criteria decision-making technique. In a case study, the proposed framework is applied to select the best production platform among three scenarios for a company assembling complex products. The selected production platform improves overall manufacturing performance by 11.95% compared to the existing one. This study demonstrates the effectiveness of the proposed framework in identifying the best production platform for labor-intensive SMEs manufacturing high-mix, low-volume products using SOMCDM for a digital twin environment. The proposed framework is further detailed through a case study of a 3D printer assembly factory.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552805","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

Value of blockchain for scope 3 carbon disclosure: The moderating role of data processing technologies 区块链对范围 3 碳披露的价值：数据处理技术的调节作用

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-10-24 DOI: 10.1016/j.ijpe.2024.109445

{"title":"Value of blockchain for scope 3 carbon disclosure: The moderating role of data processing technologies","authors":"","doi":"10.1016/j.ijpe.2024.109445","DOIUrl":"10.1016/j.ijpe.2024.109445","url":null,"abstract":"<div><div>Disclosing carbon emissions in Scope 3 is essential for mitigating pollution and the associated environmental damage, and blockchain can enhance the disclosure. However, the effect of blockchain on Scope 3 carbon disclosure remains unclear due to a lack of empirical evidence. This paper investigates the value of blockchain for Scope 3 carbon disclosure and examines whether this value can be strengthened by integrating data processing technologies, including artificial intelligence (AI), cloud computing, and big data analytics (BDA). Drawing upon the coordination theory, we posit that blockchain as a recording and tracing technology can improve the coordination among supply chain members on collecting carbon emissions data, thereby facilitating firms' Scope 3 carbon disclosure. Furthermore, data processing technologies enable efficient utilization and management of the collected data, potentially coordinating with blockchain to enhance Scope 3 carbon disclosure. We test these relationships using regression analysis based on a sample of 422 observations for Chinese listed firms during 2021 and 2022. The results show that blockchain adoption is positively associated with a firm's Scope 3 carbon disclosure. In addition, adopting each of the three data processing technologies—AI, cloud computing, and BDA—further strengthens the positive relationship. This study contributes to academic knowledge and evidence on blockchain and sustainable supply chain management with practical suggestions for managing carbon emissions at the supply chain level through the combined adoption of blockchain and data processing technologies.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536100","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

Contagion of corporate misconduct in the supply chain: Evidence from customers and suppliers in China 企业不当行为在供应链中的蔓延：来自中国客户和供应商的证据

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-10-23 DOI: 10.1016/j.ijpe.2024.109443

{"title":"Contagion of corporate misconduct in the supply chain: Evidence from customers and suppliers in China","authors":"","doi":"10.1016/j.ijpe.2024.109443","DOIUrl":"10.1016/j.ijpe.2024.109443","url":null,"abstract":"<div><div>Non-compliance with operational procedures can significantly disrupt the functioning of supply chains. This study examines the impact of corporate misconduct by both supplier and customer firms on the corporate misconduct of the focal firm within the supply chain. Utilizing data from 723 publicly listed companies in China, we employ a difference-in-differences approach for our analysis. The results indicate that misbehavior exhibited by both supplier and customer firms contributes to an increase in corporate misconduct by the focal firm. Based on the social contagion theory, we argue that supplier misconduct leads to an increase in focus firm misconduct through a mechanism similar to “spillover effect.” Customer misconduct leads to an increase in focus firm misconduct through a mechanism similar to the “learning effect”. And this phenomenon is influenced by the cooperation intensity and the industry sensitivity. The conclusion to our research makes some theoretical contributions. First, our research focuses on silent organizational factors in supply chain contagion, providing evidence of such factors spreading unobserved in the supply chain. Secondly, we explains the different mechanisms of transmission between suppliers and customers in the dissemination of misconduct across the supply chain. Finally, our research findings provide support for managing supply chain misconduct as well as supplier and customer collaboration.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552806","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

Drone-based warehouse inventory management of perishables 基于无人机的易腐物品仓库库存管理

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-10-22 DOI: 10.1016/j.ijpe.2024.109437

{"title":"Drone-based warehouse inventory management of perishables","authors":"","doi":"10.1016/j.ijpe.2024.109437","DOIUrl":"10.1016/j.ijpe.2024.109437","url":null,"abstract":"<div><div>Warehouse inventory management is a complex process. When inventory includes perishables, the complexity of these processes is compounded with additional requirements such as appropriate ambient storage conditions and placement of one type of perishables (e.g., bananas) far away from another type of perishables (e.g., strawberries). With perishables spending a significant amount of time post-harvest in warehouses, appropriate management of warehouse inventory is necessary to reduce wastage due to spoilage. Drone-based warehouse inventory management is gaining popularity as seen in the increasing number of firms in this space as well as the number of research publications. RFID tags have been widely used for inventory management for more than two decades. While drones have been successfully used in warehouses with non-perishables, RFID and drone use in warehouses with perishables has not witnessed its fair share as evidenced by the lack of publications in this general area. This paper is a step in the direction to address this void in published literature. We consider object-level RFID tags and drones to automate warehouse inventory management of perishables. Results from our analytical model and simulation analysis indicate that such warehouse automation is beneficial to both the warehouse operators and their customers.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531685","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

Can employee training facilitate production repurposing in crises? An ability-motivation-opportunity perspective 员工培训能否促进危机中的生产再利用？从能力-动机-机会的角度看问题

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-10-18 DOI: 10.1016/j.ijpe.2024.109444

{"title":"Can employee training facilitate production repurposing in crises? An ability-motivation-opportunity perspective","authors":"","doi":"10.1016/j.ijpe.2024.109444","DOIUrl":"10.1016/j.ijpe.2024.109444","url":null,"abstract":"<div><div>Production repurposing is an initiative for firms to alter their manufacturing capabilities and outputs to meet new demands, particularly during times of crisis. This initiative is crucial for businesses to remain resilient to unexpected changes in the market. Despite its importance, the specific factors that drive production repurposing during crises, especially from the perspective of human capital development, are not well understood. Drawing upon the ability, motivation, and opportunity (AMO) framework, this study aims to examine the impact of pre-pandemic employee training, an ability-enhancing practice, on production repurposing during the pandemic. Based on a dataset of 4679 firm-year observations from 32 countries sourced from the World Bank, our regression results indicate that firms that engaged in pre-pandemic employee training are more likely to initiate production repurposing during the pandemic. Furthermore, we delve into the moderating roles of government wage subsides, a motivation factor, and labor shortages, an opportunity constraint. The results reveal that government wage subsidies amplify the positive effect of pre-pandemic training on production repurposing, whereas labor shortages dampen this impact. Our heterogeneity analysis further suggests that national socioeconomic features can influence these relationships. This study underscores the role of employee training in preparing firms to actively adapt during crises. It also highlights the necessity of providing adequate motivations and creating conducive opportunities to facilitate human capital. These insights are valuable for managers and policymakers aiming to enhance firm adaptability and ensure resilient operations during crises.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537996","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

Algorithm aversion during disruptions: The case of safety stock 中断期间的算法厌恶：安全库存案例

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-10-18 DOI: 10.1016/j.ijpe.2024.109442

{"title":"Algorithm aversion during disruptions: The case of safety stock","authors":"","doi":"10.1016/j.ijpe.2024.109442","DOIUrl":"10.1016/j.ijpe.2024.109442","url":null,"abstract":"<div><div>Algorithm aversion occurs when organizations or individuals reject optimal analytical decision support in favour of informal, subjective decisions. This phenomenon has been observed in many practical decision-making scenarios and is generally believed to negatively impact decision quality. However, its existence and effect in volatile supply chain environments has not been empirically tested in the literature. Safety stock buffering demand volatility is an important decision in supply chain management, making it an ideal lens to observe algorithm aversion. In this paper, we empirically investigate algorithm aversion behaviour in the context of safety stock settings. We collect data from a case retail company across a range of stockkeeping units (SKUs), encompassing both pre-disruption and post-disruption time stages with varying levels of volatility. We introduce a simulation model to determine whether algorithm aversion exists for safety stock decisions and to assess how algorithm adoption and adaptation affects performance. Our findings indicate that algorithm aversion occurs during supply chain disruptions, with algorithmic decisions significantly outperforming human judgment. Based on interview results and theories of information systems, we propose a theory to explain and generalize the above findings. This theory attributes algorithm aversion behaviour to reduced sense of fitness among algorithm users and lack of slack resources for both users and developers. It also offers insights into how the adoption and adaptation of algorithms influence decision performance during disruptive events.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531684","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

Generalized multi-manufacturer multi-retailer production-delivery supply chain model and its minimum cost solution policy 广义多制造商多零售商生产-交付供应链模型及其最小成本解决策略

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-10-16 DOI: 10.1016/j.ijpe.2024.109439

{"title":"Generalized multi-manufacturer multi-retailer production-delivery supply chain model and its minimum cost solution policy","authors":"","doi":"10.1016/j.ijpe.2024.109439","DOIUrl":"10.1016/j.ijpe.2024.109439","url":null,"abstract":"<div><div>Production of a product at multiple sources and its deliveries to multiple destinations are a common practice in business. Minimization of the integrated total cost of performing operations and transportation considering the relevant factors such as the minimum order quantity contract, capacities of transport vehicles, and times of transportation in this supply chain is essential, in supplying products to customers at reasonable lesser prices. However, such a supply chain has received little attention in terms of minimizing the integrated total cost taking into account these related factors explicitly. So, there lies a research scope on this topic to fulfill the growing need of minimizing the cost of production-deliveries of products to meet customers’ demands fruitfully. Here we develop such a generalized mathematical model to minimize the integrated total cost of carrying out operations at manufacturers and retailers, and transporting batches (sub-lots) of lots from sources to destinations considering the mentioned realistic constraints. The integrated production-delivery flow is synchronized by delivering lots with batches of equal and/or unequal sizes. First without considering transportation costs, we obtain optimal batches to minimize the total cost of the model. Each of these optimal batches is proportionally distributed at manufacturers as supplies and at retailers as demands. Then the minimum transportation cost solution from manufacturers to retailers is incorporated to the earlier solution to obtain the final result. We illustrate this solution policy with numerical example problems. Sensitivity analyses are performed to see the effect of increasing values of parameters on the minimum total cost.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531801","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

Characterization of production sets through individual returns-to-scale: A non parametric specification and an illustration with the U.S industries 通过个体规模收益描述生产集的特征：非参数规范及美国工业示例

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-10-16 DOI: 10.1016/j.ijpe.2024.109433

{"title":"Characterization of production sets through individual returns-to-scale: A non parametric specification and an illustration with the U.S industries","authors":"","doi":"10.1016/j.ijpe.2024.109433","DOIUrl":"10.1016/j.ijpe.2024.109433","url":null,"abstract":"<div><div>This paper proposes to estimate the returns-to-scale of production sets by considering the individual return of each observation, considered as a decision-making unit through the notion of <span><math><mi>Λ</mi></math></span>-returns to scale assumption. Along this line, the global technology is then constructed as the intersection of all the individual technologies. Hence, an axiomatic foundation is proposed to present the notion of <span><math><mi>Λ</mi></math></span>-returns to scale. This new characterization of the returns-to-scale encompasses the definition of <span><math><mi>α</mi></math></span>-returns to scale, as a special case as well as the standard non-increasing and non-decreasing returns-to-scale models. A non-parametric procedure based on the goodness of fit approach is proposed to assess these individual returns-to-scale. To illustrate this notion of <span><math><mi>Λ</mi></math></span>-returns to scale assumption, an empirical illustration is provided based on a dataset involving 63 industries constituting the whole American economy over the period 1987-2018.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531799","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

Climate policy uncertainty influences carbon emissions in the semiconductor industry 气候政策的不确定性影响半导体行业的碳排放

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-10-16 DOI: 10.1016/j.ijpe.2024.109436

{"title":"Climate policy uncertainty influences carbon emissions in the semiconductor industry","authors":"","doi":"10.1016/j.ijpe.2024.109436","DOIUrl":"10.1016/j.ijpe.2024.109436","url":null,"abstract":"<div><div>Industry carbon emissions have been increasing, yet there remains a dearth of research on the impacts of climate policy uncertainty. This study first explored the effects of climate policy uncertainty on the carbon emissions of semiconductor enterprises. We employed the Bidirectional Encoder Representations from Transformers (BERT) model. We constructed a Chinese climate policy uncertainty index based on electronic news entries to match the enterprise panel data structure from 2011 to 2022. The results showed an increase in climate policy uncertainty, which helped to reduce semiconductor enterprises’ carbon emissions. This effect was primarily achieved via two pathways. First, climate policy uncertainty leads to companies facing stricter environmental requirements, and these companies will proactively increase their investment in environmental, social, and governance standards to cope with the potential risks. Second, climate policy uncertainty is often accompanied by shifts in government climate policy. Governments will provide green subsidies to enterprises to achieve their policy goals. Furthermore, the policy uncertainty for the semiconductor industry could amplify the reducing effect of climate policy uncertainty on the carbon emissions from semiconductor enterprises. Climate policy uncertainty has a greater impact on non-state-owned and smaller semiconductor enterprises. Our study provides a new way to measure climate policy uncertainty, finds a new perspective based on climate policy uncertainty for exploring the potential impacts of corporate carbon emission reductions, bridges the gap between previous studies on enterprise carbon reductions and climate policy uncertainty, and offers a new path for governments to manage industrial carbon emissions.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531683","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

Time-to-Adapt (TTA) 适应时间 (TTA)

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-10-16 DOI: 10.1016/j.ijpe.2024.109432

{"title":"Time-to-Adapt (TTA)","authors":"","doi":"10.1016/j.ijpe.2024.109432","DOIUrl":"10.1016/j.ijpe.2024.109432","url":null,"abstract":"<div><div>Manufacturing operations rely heavily on external sources and supply chain (<span><math><mi>SC</mi></math></span>) networks, making them susceptible to material and operational risks. In response, manufacturers are investigating innovative strategies to enhance their adaptability and strengthen the resilience and viability of their value-creation systems. This shift has prompted an increased focus on integrating inherent adaptability while maintaining profitability and efficiency. Although indicators such as Time-to-Recover (<span><math><mi>TTR</mi></math></span>) and Time-to-Survive (<span><math><mi>TTS</mi></math></span>) are commonly employed to assess <span><math><mi>SC</mi></math></span> capabilities, the literature suggests that scholars and practitioners give less consideration to the internal factors of Mass Customization (<span><math><mi>MC</mi></math></span>) manufacturers and their influence on mitigating <span><math><mi>SC</mi></math></span> disruptions, particularly the Time-to-Adapt (<span><math><mi>TTA</mi></math></span>) indicator in manufacturing. This study utilizes a case study approach, complemented by a mathematical model, to analyze the role of <span><math><mi>TTA</mi></math></span> as a key internal controllable indicator within <span><math><mi>MC</mi></math></span> manufacturers and as an external controllable indicator for suppliers. The findings indicate that manufacturers can employ the <span><math><mi>TTA</mi></math></span> indicator to measure the adaptation period and enhance their adaptive capabilities. Moreover, it enables manufacturers to optimize profits by selecting viable production options in response to resource shortages.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531798","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