Computers & Industrial Engineering最新文献

{"title":"Assembly line rebalancing problem with human-robot collaboration and a hyper-matheuristic solution approach","authors":"Aslihan Karas Celik,&nbsp;Feristah Ozcelik","doi":"10.1016/j.cie.2024.110795","DOIUrl":"10.1016/j.cie.2024.110795","url":null,"abstract":"<div><div>In the context of the Industry 5.0 vision, which emphasises the importance of human-centred industries, assembly lines wherein humans and robots work together have emerged as innovative systems that allow the advantages of both to be combined. Accordingly, industrial managers are attempting to implement collaborative systems that will benefit from the consistency of robots and their capacity to work in hazardous environments, as well as the insight and adaptability of humans. Nevertheless, the process of eliminating an existing system and building another one from scratch is both costly and time-consuming. Rather than constructing an entirely new system, it is possible to reconfigure the line based on the new situation, thus enabling the system to adapt to changes. To the best of our knowledge, studies in the literature on collaborative assembly lines have focused on the initial installation phase, while the researchers who have dealt with the rebalancing process have not taken into account the change in the workforce structure as a reason for rebalancing. This study introduces the Assembly Line Rebalancing Problem with Human-Robot Collaboration as a means of filling the perceived gap in the literature. The considered problem addresses the need for line rebalancing to integrate traditional and collaborative robots as operators in existing manual assembly lines. In order to tackle this problem, a mathematical modelling approach and an artificial bee colony algorithm-based hyper-matheuristic algorithm are presented with the objective of optimising cycle time. The results of the computational tests on benchmark problems adapted from the literature demonstrate that the proposed algorithm outperforms the mathematical modelling approach and basic artificial bee colony algorithm.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"200 ","pages":"Article 110795"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180149","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":"Product tracing or component tracing? Blockchain adoption in a two-echelon supply chain management","authors":"Ardavan Babaei ,&nbsp;Majid Khedmati ,&nbsp;Mohammad Reza Akbari Jokar ,&nbsp;Erfan Babaee Tirkolaee","doi":"10.1016/j.cie.2024.110789","DOIUrl":"10.1016/j.cie.2024.110789","url":null,"abstract":"<div><div>Consumer awareness of product authenticity and carbon footprint tracing are among the most remarkable reasons for adopting blockchain in the supply chain in today’s world. However, the research literature has not yet examined specific ways to adopt blockchain in the supply chain. This study aims to develop a decision support tool to deal with the adoption of blockchain technology to design a two-echelon supply chain. In this regard, four specific cases for integrating supply chain and blockchain are developed based on types of tracing and block generation authority. In product tracing, green products are investigated throughout the supply chain, while in component tracing, green products are examined between the components of the supply chain. As it is necessary to record and verify the supply chain information by authorities in the blockchain network, in this work, such authorities are taken into account for both links and members of the supply chain. As far as we know, this is the first attempt to classify the various methods of adopting blockchain in Green Supply Chain Management (GSCM) and propose mathematical optimization models related to them. In this line, four Mixed-Integer Linear Programming (MILP) models with the aim of minimizing the costs related to the physical supply chain and blockchain deployment are developed for the integration of the supply chain with blockchain technology. They are treated by the Branch and Efficiency (B&amp;E) algorithm and Simultaneous Data Envelopment Analysis (SDEA) model considering common (cost and service) and innovative (blockchain) criteria. The results showed that link-based and component tracing models are cost-effective. In addition, the cost objective function of green product tracing is more sensitive to the number of blocks than that of component tracing. Eventually, the study provides great opportunities for decision-makers and managers to understand how to adopt blockchain in terms of supply chain network characteristics, cost, transparency, and service.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"200 ","pages":"Article 110789"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179696","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":"Maximizing sales: The art of short video creation in livestream e-commerce","authors":"Tong-Yuan Wang ,&nbsp;Yi Chen ,&nbsp;Zhen-Song Chen ,&nbsp;Muhammet Deveci ,&nbsp;Dursun Delen","doi":"10.1016/j.cie.2024.110824","DOIUrl":"10.1016/j.cie.2024.110824","url":null,"abstract":"<div><div>Livestream e-commerce has experienced significant growth in recent years. However, with the intensification of competition, the problem of inadequate exploration of consumer demands has become increasingly prominent and important, which puts key opinion leaders (KOLs) at a disadvantage when cooperating with brand-owners. To tackle this issue, many KOLs have begun using high-quality short videos to provide detailed product information, establish consumer trust, and sell products through live streaming, which is defined as the “short video  + livestream” marketing strategy. In this paper, we examine the added value of short video content for consumers and the resulting traffic revenue for KOLs. Furthermore, a game-theoretic model is developed to demonstrate the impact of the “short video  + livestream” marketing strategy on the selection of selling modes in livestream e-commerce. The results show that brand-owners and KOLs can benefit from either mode and achieve a mutually beneficial outcome under certain conditions. Moreover, we observe that the brand-owner can be better off in the agency selling mode when the commission rate is low, while the KOL’s preference shifts from the wholesale mode to the commission mode and then back to the wholesale mode with the commission rate increases. Finally, we further examine the value of the “short video  + livestream” marketing strategy for both the brand-owner and the KOL.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"200 ","pages":"Article 110824"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180131","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":"Dynamic analysis and application of data-driven green behavior propagation on heterogeneous networks","authors":"Linhe Zhu ,&nbsp;Bingxin Li","doi":"10.1016/j.cie.2024.110822","DOIUrl":"10.1016/j.cie.2024.110822","url":null,"abstract":"<div><div>Clear waters and lush mountains constitute invaluable assets, and the sustainable development of the energy economy relies on green behavior. This paper establishes a Centrist–Positive–Negative system for the propagation of green behavior on heterogeneous networks by considering the transition mechanisms among individuals with different attitudes. The equilibrium points of the system are computed, and the sufficient and necessary conditions for positive equilibrium points are provided. We analyze the necessary conditions for Turing instability and the first-order conditions for parameter identification based on optimal control. Numerical simulation results indicate that various network structures can influence the timing of Turing bifurcation. Moreover, the presence of heterogeneity within networks exacerbates the instability of solutions. Media publicity and government management notably exert an inverted U-shaped influence on outcomes. Furthermore, the homogeneity or heterogeneity of the networks should not affect the effectiveness of parameter identification. Utilizing accurate data from the Policy Research Center for Environment and Economy and the China National Environmental Monitoring Centre, we conduct parameter identification on the effectiveness of government management in 13 cities in Jiangsu Province in 2021, yielding promising results. Upon comparison of three time series forecasting models, the LSTM model demonstrates superior performance. A parameter identifying the effectiveness of government management through the prediction of comprehensive air quality indices by using LSTM neural networks yields similarly favorable outcomes. Extending the network to a larger scale further enhances identification performance.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"200 ","pages":"Article 110822"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180698","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":"The impact of natural disasters on agricultural credit risk: A theoretical model and empirical test","authors":"Qianting Ma ,&nbsp;Weizhong Wang ,&nbsp;Ruiqi Leng ,&nbsp;Muhammet Deveci ,&nbsp;Renjia Liu ,&nbsp;Dursun Delen","doi":"10.1016/j.cie.2024.110846","DOIUrl":"10.1016/j.cie.2024.110846","url":null,"abstract":"<div><div>Natural disasters exert a profound influence on agricultural production and the stable development of rural financial systems. This paper utilizes a multi-agent modeling approach to construct a theoretical framework for understanding the transmission of agricultural credit risk in the context of natural disasters, and empirically examines the underlying mechanisms. The findings reveal several key insights. First, natural disasters significantly escalate credit risk in the agricultural sector. Second, the maturity of agricultural insurance infrastructure plays a critical role in mitigating the impact of natural disasters on agricultural credit risk. Finally, a well-developed agricultural insurance system is essential for mitigating the adverse effects of natural disasters on agricultural credit risk. These findings suggest that accelerating the development of agricultural insurance, particularly in regions prone to natural disasters, could serve as an effective strategy for managing and containing agricultural credit risk.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"200 ","pages":"Article 110846"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181819","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":"Spatial multi-attribute decision making: An axiomatic incomplete preference information coverage model","authors":"Quanbo Zha,&nbsp;Yueying Ren,&nbsp;Jiaxuan Han,&nbsp;Jianping Gu","doi":"10.1016/j.cie.2024.110764","DOIUrl":"10.1016/j.cie.2024.110764","url":null,"abstract":"<div><div>In addressing the spatial multi-attribute decision making with conflicting incomplete preference information, this study presents an axiomatic preference information coverage model, which can determine the group’s collective stance without distorting individual’s original spatial preferences. First, with a Preference Information (PI) set to encapsulate the incomplete spatial preference information, we extend existing additive spatial value function with a stochastic weight space to assign utilities to alternatives. Dominance relations among pairwise alternatives based on expected utility maximization inform the alternatives priority sequences. Within this context, a novel preference information measure is introduced, serving as the basis for defining the coverage degree associated with alternatives priority sequences relative to the PI. In alignment with the axiomatic foundations governing coverage degree and the principle of maximizing this metric, a dominant rule is formulated to dictate the hierarchy among alternatives priority sequences. The model’s applicability is demonstrated via a numerical example, followed by simulation analyses that probe the influence of different PIs on coverage degree.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"200 ","pages":"Article 110764"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181756","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":"A consensus-based multi-criteria decision making method integrating GLDS method and quantum probability theory for risk analysis of human errors","authors":"Qiaohong Zheng ,&nbsp;Xinwang Liu","doi":"10.1016/j.cie.2024.110847","DOIUrl":"10.1016/j.cie.2024.110847","url":null,"abstract":"<div><div>Human error is one of the major contributors to adverse events in a socio-technical system. Human factor analysis and classification system (HFACS), a qualitative method, is widely recognized for analyzing human errors from a systematic perspective. To overcome its limitation in quantitative analysis of the risk of human error, many multi-criteria decision making (MCDM) techniques are combined with HFACS. However, most existing MCDM technique-based HFACS methods ignore the uncertainty of experts’ opinions, the consensus among experts, and the interference effect between experts. To this end, a consensus reaching process (CRP)-based linguistic MCDM integrating the gained and lost dominance score (GLDS) method and quantum probability theory (QPT) is proposed to rank human errors’ risk under the HFACS framework. First, 2-tuple linguistic variables are utilized to represent experts’ opinions on human errors’ risk, which can handle experts’ linguistic opinions in an interpretable, accurate, and simple way. Second, a two-stage feedback mechanism-based CRP shifts to identify the human errors whose risk evaluation information is with low consensus degree and improve their consensus, which contributes to high consensus on human errors’ risk prioritization results. Then, GLDS and QPT are combined to derive human errors’ collective risk value, where GLDS considers both the comprehensive and worst performances of human errors and QPT considers the interference effect among experts. Finally, a case study of risk analysis for human errors involved in hospital care is conducted to show the efficiency of the proposed method.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"200 ","pages":"Article 110847"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180129","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":"Some new real-time monitoring schemes for Gumbel’s bivariate exponential time between the events","authors":"Peile Chen ,&nbsp;Amitava Mukherjee ,&nbsp;Wei Yang ,&nbsp;Jiujun Zhang","doi":"10.1016/j.cie.2024.110759","DOIUrl":"10.1016/j.cie.2024.110759","url":null,"abstract":"<div><div>Monitoring the vector of times between multiple events is essential in a high-quality process such as healthcare operations. To this end, the multivariate time between events (TBE) process monitoring schemes are regularly used as one of the most straightforward and appealing visual tools. The existing literature on multivariate TBE schemes focuses almost exclusively on using complete information availed in vector-based TBE data, often making delayed monitoring as it requires observing the complete set of time values in a vector-valued observation. To address this issue, we recommend monitoring the minimum time value of vector TBE data to reach decisions faster and more efficiently. We introduce several new real-time exponentially weighted moving average (EWMA) schemes for monitoring Gumbel’s bivariate exponential TBE processes. We compare them with existing schemes using fully observed vector-based schemes. A Markov chain method is developed to compute the average time to signal (ATS), and the optimal parameters are found. Finally, three real-life examples are used to illustrate the implementation of the proposed schemes.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"200 ","pages":"Article 110759"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181804","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":"A new model for calculating human trust behavior during human-AI collaboration in multiple decision-making tasks: A Bayesian approach","authors":"Song Ding ,&nbsp;Xing Pan ,&nbsp;Lunhu Hu ,&nbsp;Lingze Liu","doi":"10.1016/j.cie.2025.110872","DOIUrl":"10.1016/j.cie.2025.110872","url":null,"abstract":"<div><div>The advancement of Artificial Intelligence (AI) technology has made human-AI collaboration increasingly common. Trust is a decisive factor influencing the quality of such collaboration, as uncalibrated trust may lead to task failure or even catastrophic consequences, significantly jeopardizing the safety of human–machine systems. Therefore, this paper proposes a Bayesian model for predicting human trust behavior towards AI based on human self-confidence and confidence in AI. Grounding in human cognition processes, the model simultaneously considers task difficulty and AI ability. Specifically designed within the context of multiple decision-making tasks with AI assistance, we introduce a task called Multi-Ball Motion (MBM), where participants collaborate with AIs of varying abilities to complete tasks under different levels of difficulty. We report experimental results involving 21 participants, demonstrating that our model effectively explains both the behavioral and subjective data of participants. It captures the dynamic changes in participants’ two types of confidence during the experiment and personalized predictions of their trust behavior, achieving an average prediction accuracy of 97.6%. Furthermore, the model adeptly elucidates the cognition processes underlying participants’ trust behavior formation. This work lays a solid foundation for trust calibration and risk analysis of human-AI systems.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"200 ","pages":"Article 110872"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179703","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":"A Discrete-event modeling method to study human behavior for spread of diseases on university campuses","authors":"Hazel Griffith,&nbsp;Cristina Ruiz-Martin,&nbsp;Gabriel Wainer","doi":"10.1016/j.cie.2024.110732","DOIUrl":"10.1016/j.cie.2024.110732","url":null,"abstract":"<div><div>The COVID-19 pandemic has highlighted the importance of defining sound policies to make attending workplaces safer. Sometimes, deciding on different policies is challenging as this highly depends on the behavior of the individuals. This research introduces a Discrete Event-based methodology and a prototype implementation to study such policies, including human behavior along with information about the workplace layout and building characteristics such as ventilation rate or room capacity. The method is based on a combination of agent-based models, diffusion processes and discrete-event simulation. We exemplify how to use this method using a case study based on Carleton University’s Campus, in which we use the methodology and tools to study the effect of ventilation, as well as the application of a policy where sick students are denied entry to the campus on the number of disease cases on campus.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"200 ","pages":"Article 110732"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179717","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}