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Corrigendum to “Consumer response to adjustable price and shelf-life of fresh food products under effective preservation policy” [Comput. Ind. Eng. 188 (2024) 109897] Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-12 Muhammad Waqas Iqbal, Asif Iqbal Malik, Muhammad Babar Ramzan, Muhammad Saad Memon, Sonia Irshad Mari, Muhammad Salman Habib
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Combining inertial-based ergonomic assessment with biofeedback for posture correction: A narrative review Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-12 Diogo R. Martins, Sara M. Cerqueira, Cristina P. Santos
Work-related musculoskeletal disorders (WRMSDs) are the most reported work-related health problem in the European Union, representing an economic burden equivalent to 2% of its gross domestic product. Awkward postures are one of the main risk factors. Several postural assessment tools try to identify ergonomic exposure factors for evaluating WRMSD risk, yet these are commonly based on observation.
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Variable contribution analysis in multivariate process monitoring using permutation entropy Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-11 Praise Obanya, Roelof Coetzer, Carel Olivier, Tanja Verster
Multivariate statistical process monitoring is widely used in industrial processes for performance monitoring and fault detection. Once a fault has been detected, fault diagnoses must be performed to identify the variables that are responsible for the fault or the deviation from normal operation. In this paper, we present a new data-driven method for variable contribution analysis to a fault or abnormal
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Freshness-keeping efforts and value-added service choice in fresh food supply chain Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-11 Rong Zhang, Zhijuan Huang, Bin Liu, Jinling Wang
This study investigates a two-tier fresh food supply chain consisting of one supplier and one fresh food e-retailer. Freshness-keeping efforts can be provided by either the supplier or fresh food e-retailer, while the latter also offers value-added service. Two leadership scenarios—the e-retailer-led (i.e., the e-retailer decides service level before the supplier decides wholesale price) and the supplier-led
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The integrated planning of outgoing coil selection for retrieval, multi-crane scheduling, and location assignment to the incoming and blocking coils in steel coil warehouses Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-11 Fatemeh Nadali, Mehdi Iranpoor, Yaser Malekian
In this paper, the problem of scheduling crane-operated warehouses in a triangle stacking style is investigated. In a steel supply chain, warehouses play a significant role in establishing a connection between the producer and the customers. Therefore, improving their performance results in a competitive advantage in the supply chain. One of the challenges of steel coil warehouses is the selection
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Job and product rotation for maximising the production output on multi mixed-model assembly lines for element prefabrication in industrialised housebuilding Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-11 Maria A. Gartner, Wolfgang Grenzfurtner, Barbara Zauner, Manfred Gronalt
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Double stochastic preference analysis on group decision making with interval additive preference relations Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-09 Jiabei Li, Ligang Zhou, Qun Wu, Yiwen Zhang, Muhammet Deveci, Dragan Pamucar
Interval additive preference relations (IAPRs) provide a valuable framework for representing uncertain pairwise comparisons among alternatives in group decision-making (GDM). Conventional GDM methods that incorporate IAPRs often treat preference values as uniform entities and establish dedicated conflict or consensus mechanisms for amalgamating individual opinions while overlooking the stochastic preferences
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Circular supply chains theoretical gaps and practical barriers: A model to support approaching firms in the era of industry 4.0 Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-09 Emilia Taddei, Claudio Sassanelli, Paolo Rosa, Sergio Terzi
Unlike linear supply chains, Circular Supply Chains (CSCs) require return flows able to capture additional value and involving different stakeholders. The successful interaction of Circular Economy and Industry 4.0 (I4.0) towards a circular, efficient, and competitive transition of current supply chains is unveiled by both current state of theory and practice. Notwithstanding literature’s multiple
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Novel mathematical modelling approaches and a new lower bounding scheme for multi-manned assembly line balancing problems with walking workers Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-08 Murat Şahin, Talip Kellegöz
This article suggests two novel mathematical modelling approaches and a lower bound calculation method for the number of workstations to balance multi-manned assembly lines with walking workers. While new formulations include more variables, they require fewer constraints than the existing one. The performances of all formulations are compared each other using benchmark test instances from the literature
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When should shelf stocking be done at night? A workforce management optimization approach for retailers Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-08 Renata Muñoz, Juan Carlos Muñoz, Juan-Carlos Ferrer, Virginia I. González, César Augusto Henao
This research examines the economic viability of night shelf stocking in the retail industry. By analyzing real data on the costs and benefits of both night and day stocking, we propose a novel integer linear optimization model to determine the optimal structure of shelf stocker shifts for individual stores. The model is tested on a standard Chilean supermarket, with a sensitivity analysis performed
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Optimal resilience strategy for manufacturers to deal with supply disruptions: Investment in supply stability versus dual sourcing Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-07 Gaoxiang Lou, Yuhan Guo, Zhixuan Lai, Haicheng Ma, Xuechen Tu
Enhancing supply chain resilience is fundamental to the stable development of manufacturing enterprises. By comparing three resilience strategies (investment in fixed supplier for stable supply, dual sourcing by adding backup suppliers, and hybrid strategy), we investigate their effects on improving supply chain resilience under supply disruption and selecting resilience strategies for manufacturing
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Prescriptive analytics models for vessel inspection planning in maritime transportation Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-07 Ying Yang, Ran Yan, Shuaian Wang
Port state control (PSC) inspections are crucial for maritime safety and pollution reduction. The inspection process involves identifying high-risk vessels, allocating surveyors, and conducting onboard checks. This study aims to optimize the selection and assignment process through a two-stage framework, balancing the benefits of identifying deficiencies against the costs of inspection delays. Initially
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Reinforcement Learning for Disassembly Task Control Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-06 Sachini Weerasekara, Wei Li, Jacqueline Isaacs, Sagar Kamarthi
Inventory management is an integral part of systems that assemble or disassemble products. However, unlike assembly operations, disassembly operations can accumulate soaring work-in-process inventory if not carefully managed. Inventory management in disassembly systems is particularly challenging due to unexpected fluctuations in the inventory levels of subassemblies and salvage components caused by
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Development of robust confidence intervals for the cost-based process capability index Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-05 Linhan Ouyang, Sanku Dey, Chanseok Park
We consider the process capability index when a tolerance cost function is introduced. It is well known that performs well under the general assumption that the data is not contaminated. Under this assumption, the standard sample mean and sample variance are used to estimate . However, it is also well known that this estimate is extremely sensitive to data contamination since the sample mean and sample
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Optimal age replacement time for coherent systems under Geometric Point Process Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-05 Faizanbasha A., U. Rizwan
In spatial context, the understanding of event dynamics and point distributions is a fundamental requirement. This study addresses a critical need by introducing the Geometric Point Process (GPP) and explaining its potential impact on optimizing the determination of optimal replacement ages for coherent systems. Our paper has three overarching aims: firstly, to bridge the gap by presenting the novel
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A column generation approach for the quay crane allocation problem considering uncertain operation efficiency Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-05 Xufeng Tang, Xinqi Li, Ming Yin
This study constructs a mixed integer programming model for the integrated quay crane allocation problem to minimize vessels’ waiting time and delay time cost. Taking the uncertainty of quay crane operation efficiency into consideration, this study constructs a stochastic programming model and a distributional robust chance constraint (DRCC) model. In addition, column generation is applied to solve
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Dynamic scheduling of decentralized high-end equipment R&D projects via deep reinforcement learning Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-05 Xinyue Wang, Shaojun Lu, Xiaofei Qian, Chaoming Hu, Xinbao Liu
Distributed research and development (R&D) plays a pivotal role in high-end equipment manufacturing enterprises, significantly impacting interdisciplinary innovation and expediting development cycles. In the uncertain environment characterized by random arrivals of new projects, achieving dynamic scheduling and real-time coordination for decentralized R&D projects is a challenging problem. This paper
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A Hybrid Clustered Ant Colony Optimization Approach for the Hierarchical Multi-Switch Multi-Echelon Vehicle Routing Problem with Service Times Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-04 Marduch Tadaros, Nikolaos A. Kyriakakis
In this paper, the Hierarchical Multi Switch Multi Echelon Vehicle Routing Problem with Service Times (HMSME-VRP-ST) is presented. This novel problem considers distribution applications in which goods are delivered either directly from a central depot or through intermediate facilities called switch points. Commodities are loaded into interchangeable containers called swap bodies at the central depot
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Tactical vessel deployment and empty container repositioning considering container turnover times Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-04 Xi Xiang, Changchun Liu, Shuai Jia
Global trade imbalances lead to the common occurrence of empty container flows from export-dominated to import-dominated ports in container shipping networks. Efficient strategies for repositioning empty containers are essential for addressing deficits at major ports. Existing studies often assume an arbitrary supply of empty containers at a port before repositioning. However, the actual quantity depends
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A robust optimization approach to multi-period competitive location problem for bank branches considering first-mover advantage Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-04 Rezvaneh Rasouli Kouchaksaraei, Armin Jabbarzadeh, Masoud Narenji
This paper proposes a robust, dynamic, multi-objective optimization approach to the capacity-location problem for bank branches in a competitive environment named Multi-Period Competitive Location (MPCLP) Problem. The objective functions include, maximizing total profit and maximizing minimum distance between active branches. The decision variables include branch merger and acquisition (M&A), branch
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Optimal ordering based on shortage scenarios under presence of a low-quality substitute and supply uncertainty Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-04 Nema Abu Jomaa, Konstantin Kogan
Global trade has shifted from short-distance supply chains within countries to long-distance supply chains between countries. As a result, delivery lead time has become a key operational factor, and uncertainty causes stock-outs, resulting in massive losses. An important solution for shortages is product substitutes, but they can affect the quality of the end products. Moreover, even when demand is
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Data-driven root cause analysis via causal discovery using time-to-event data Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-04 Henry M. Mbogu, Charles D. Nicholson
Data-driven approaches to root cause analysis (RCA) have received at- tention recently due to their ability to exploit increasing data availability for more effective root cause identification in complex processes. Advancements in the field of causal inference enable unbiased causal investigations using observational data. This study proposes a data-driven RCA method and a time-to-event (TTE) data
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A semantic model-based systems engineering approach for assessing the operational performance of metal forming process Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-04 Jinzhi Lu, George Tsinarakis, Nikolaos Sarantinoudis, George Arampatzis, Xiaochen Zheng, Dimitris Kiritsis
Metal Forming is a basic and essential industrial process to provide materials for constructing complex products. To design an efficient metal forming process, the functional requirements and operational performance are two important aspects to be considered. In this paper, a semantic Model-based Systems Engineering (sMBSE) approach is proposed to support the design of the entire metal forming process
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Empirical exploration of predictive maintenance in concrete manufacturing: Harnessing machine learning for enhanced equipment reliability in construction project management Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-04 Odey Alshboul, Rabia Emhamed Al Mamlook, Ali Shehadeh, Tahir Munir
Predictive Maintenance (PdM) in concrete manufacturing, particularly when viewed through construction project management, is increasingly recognized for its significance. The potential for PdM to predict structural inadequacies and systematically plan machinery maintenance is essential for seamless construction workflows. The primary focus of this investigation was to utilize the capabilities of machine
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Trimming-the-state-space mechanism embedded branch-and-bound algorithm for two-parallel machines scheduling with availability constraints Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-03 Anh H.G. Nguyen, Gwo-Ji Sheen
In this research, a trimming-the-state-space mechanism is embedded into the branch-and-bound algorithm to improve the performance of the pure branch-and-bound algorithm in finding a near-optimal solution with a pre-specified error bound. We propose general guidelines for trimming out nodes in the branching process while elimination criteria and bounding schemes are still utilized to eliminate nodes
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The restaurant delivery problem with uncertain cooking time and travel time Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-03 Guiqin Xue, Zheng Wang, Yong Wang
Eliminating delays under uncertain delivery conditions presents a formidable challenge for meal delivery platforms. Nevertheless, by implementing effective measures, these platforms can successfully mitigate the impacts of uncertainties on delays. This paper introduces a scenario-based chance-constrained programming model tailored for meal delivery services with uncertain cooking time and travel time
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A physical internet-based analytic model for reducing the risk of cargo theft in road transportation Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-02 Miguel Gastón Cedillo-Campos, José Eduardo Flores-Franco, Daniel Covarrubias
Despite global interest in creating resilient and less polluting supply chains prioritizing uninterrupted freight flows, cargo theft poses a significant risk in logistics across different economic regions. Cargo theft on the roads is becoming increasingly sophisticated, making it difficult for traditional security measures such as security certifications or GPS tracking to be enough. Creating new analytical
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Robotic assembly line balancing considering the carbon footprint objective with cross-station design Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-02 Yuchen Li, Zhaoxuan Qiao, Yuanying Chi, Linhan Guo, Rui Yan
Robotic assembly lines are widely applied in the manufacturing sector to produce a wide range of products because of their efficiency and multifunctionality. The robotic assembly line balancing problem (RALBP) is a combinatorial optimization problem where the decision variables are task assignment and robot allocation. However, RALBP considering carbon footprint, which is a very significant environmental
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Recovering farming supply chains from animal epidemics via government subsidies Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-02 Hengyu Liu
In recent years, animal epidemics – such as African swine fever and bird flu – break out more frequently in both developed and developing economies, causing serious economic losses and animal product shortages. To restore animal product supply, many governments offer two agricultural subsidies to farms: () the (), which guarantees a floor price for culled animals, and () the (), which supports large-scale
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Vaccine supply chain decision and coordination with manufacturers competition under blockchain technology Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-02 Ruihuan Liu, Chengwei Zhao, Chunqiao Tan
With vaccine incidents occur frequently and the wide application of blockchain technology, the construction of blockchain-based vaccine supply chain (VSC) has become a feasible solution to effectively solve vaccine safety problems. However, there is a lack of research on the operation decision of blockchain-based VSC. Based on this, combined with the current situation of vaccine manufacturers competition
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Vehicle routing problem for fresh products distribution considering customer satisfaction through adaptive large neighborhood search Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-01 Min Huang, Minghao Liu, Hanbin Kuang
To deal with the fresh products distribution problem in city logistics, this paper focuses on the customer psychological behavior considering both delivery time and the fresh products quality from the perspective of customer satisfaction. Thereby, we propose a mixed-integer nonlinear programming model, among which a time satisfaction function depending on customers’ time windows and a quality satisfaction
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An optimal selective maintenance policy for multi-state series production systems by considering environment impact Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-01 Haibo Jin, Xianhe Song, Hao Xia, Diawara Faysal Almamy
Series production systems are prevalent in the manufacturing industry. The productivity of these systems is influenced by various factors, including system conditions, on-site environment, maintenance planning, and others. Efforts to develop an effective maintenance plan that considers the on-site environment are crucial for maximizing net revenue over the system’s lifetime, which has practical significance
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Inland port and waterway capacity expansion model under demand uncertainty Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-01 Liquan Guo, Adolf K.Y. Ng, Jiancheng Long, Xixi Li
We address the inland port and waterway capacity expansion (IPWCE) problem under demand uncertainty, the purpose of which is to determine the capacity expansion scales and timings for inland ports and waterways. To achieve this goal, we first build an inland waterway multimodal network (IWMN) that consists of physical and operational multimodal networks. Second, by viewing the IPWCE problem under deterministic
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A cost-efficient relocation model minimizing economic and social disruption of the disaster-affected population of the Kedarnath considering uncertainty Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-01 Mayank Singh Bhakuni, Amrit Das
In 2013, Kedarnath, India, faced a devastating landslide-induced flood, causing substantial damage, loss of life, and displacement. This event highlights a gap in post-disaster relocation models, hindering efficient transportation to preferred locations. The challenge intensifies as coordinating relocation with individual preferences, coupled with post-disaster data uncertainty, complicates efforts
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Network reliability evaluation of a supply chain under supplier sustainability Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-01 Kuan-Yu Lin, Yi-Kuei Lin
The United Nations’ sustainable development goals have brought attention to the pressing issue of enhancing supply chain sustainability and ensuring equitable order allocation. In contrast to the previous research, this study involves sustainability in network reliability evaluation. A new algorithm is proposed for computing network reliability, the probability that the current supply chain not only
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Competitiveness and sustainability in the paper industry: The valorisation of human resources as an enabling factor Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-01 Julieth Almanza Floyd, Idiano D'Adamo, Samuel Fosso Wamba, Massimo Gastaldi
The concepts of green economy and circular economy are changing the strategies and operating practices of many companies, as the manufacturing sector must be able to strike a balance between technological challenges, sustainability demands, and digitization opportunities. This study focuses on the paper sector and aims to assess which actions could enable a company in the sector to be more competitive
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A coupling optimization method of production scheduling and logistics planning for product processing-assembly workshops with multi-level job priority constraints Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-03-01 Chuang Zhao, Shilong Wang, Bo Yang, Yan He, Zhi Pang, Yifan Gao
Complex products consisting of multiple intermediate components are usually produced and assembled in the processing-assembly workshops. Due to the dependency relationships between components at different levels, most production operations are restricted by priority constraints, which significantly increase the complexity and difficulty of production scheduling and logistics scheduling, and also strengthens
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A time space network optimization model for integrated fresh fruit harvest and distribution considering maturity Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-29 Yiping Jiang, Bei Bian, Benrong Zheng, Jie Chu
Maturity is closely related to logistics deterioration and fresh fruit quality. Considering the post-harvest maturity characteristics and high perishability of fresh fruits, this study aims to develop an integrated fresh fruit harvest and distribution model considering maturity to improve logistics efficiency and consumer satisfaction. First, the fresh fruit post-harvest maturity is quantized using
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Simulation based approach for reliability and remaining useful life estimation of spur gear pair under non-Markov and non-stationary load transitions Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-28 Yashanshu Dixit, Makarand S. Kulkarni
The estimation of reliability and remaining useful life (RUL) for a gear pair plays a critical role in ensuring its proper functioning and maintenance. The work focuses on designing a model for the computation of reliability and RUL of a spur gear pair that operates on three distinct terrains. The model is based on the Weibull distribution and pitting fatigue life of the individual gears. The entire
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Designing a new robust resilience supply chain network under partial distribution information Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-28 Yanjiao Wang, Yankui Liu, Xuejie Bai
Supply chain (SC) resilience refers to a network’s ability to respond promptly to disruptions and return to normal conditions; however, it is challenging for decision-makers to design resilient SC networks. Based on an emergency resilience strategy, this study addresses the resilient SC network design problem under uncertain disruption risks using a worst-case mean-CVaR resilience indicator that reflects
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A big data quality evaluation method based on group heterogeneity rationality perception information fusion Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-28 Wenjin Zuo, Dejian Yu, Qiang Hu, Lijun Liu
Big data is complex, and it is difficult to evaluate big data quality with only a few evaluation subjects. This paper designs a universal evaluation method for big data quality based on the idea of group heterogeneity rationality perception information fusion. Group evaluation information is usually large-scale and heterogeneous. The linear programming technique for multidimensional analysis of preference
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A data envelopment analysis model for opinion leaders’ identification in social networks Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-28 Hamed Baziyad, Vahid Kayvanfar, Mehdi Toloo
Through Online Social Networks (OSNs) such as Instagram, Twitter, and Facebook, employing Opinion Leaders (OLs) is becoming integral to companies’ strategies for influencing the public. The graph-based methods are one of the most important approaches for finding OLs in OSNs. Social Network Analysis (SNA)-based OLs finding methods deal with a considerable amount of data due to using entire relationships
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Solving the multi-objective job shop scheduling problems with overtime consideration by an enhanced NSGA-Ⅱ Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-28 Shuangyuan Shi, Hegen Xiong
In make-to-order (MTO) manufacturing enterprises, when the workload of the manufacturing system is heavy, it may lead to the delay of orders. In order to reduce the delay and the resulting negative impact, the appropriate and reasonable overtime work is an effective and commonly used approach. However, if the overtime work is used unreasonably, not only cannot it increase the production speed but also
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Multi-objective optimization for coordinated production and transportation in prefabricated construction with on-site lifting requirements Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-28 Jing Yin, Ran Huang, Hao Sun, Shunyao Cai
Despite numerous advantages, prefabricated construction is often perceived as less cost-effective compared to conventional cast-in-place construction. One of the main reasons for this perception is the lack of coordination among various distinct operations, such as production, transportation, and on-site assembly of prefabricated components. Therefore, this study proposes a multi-objective coordinated
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Reentrant hybrid flow shop scheduling with stockers in automated material handling systems using deep reinforcement learning Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-27 Chun-Cheng Lin, Yi-Chun Peng, Yung-Sheng Chang, Chun-Hsiang Chang
In smart factories, automated material handling system (AMHSs) replace manual material handling to increase production efficiency, in which stockers serve as the temporary storage for work-in-process inventories. Furthermore, costly machines and complex processes in advanced manufacturing lead to the need for multiple reentrant processes of the same workstation. However, previous works on scheduling
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Dynamic ensemble of regression neural networks based on predictive uncertainty Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-27 Yoonhyung Lee, Seokho Kang
In a data-decentralized environment where data are distributed across individual local nodes, inter-node data sharing is often restricted due to security concerns and communication costs. Under these restrictions, using entire data to train a global predictive model is challenging. A viable strategy is to leverage local predictive models trained independently on local nodes. However, this adversely
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Hyperledger sawtooth based supplychain traceability system for counterfeit drugs Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-27 Anum Nawaz, Liguan Wang, Muhammad Irfan, Tomi Westerlund
Drug supply chains have been facing severe issues as counterfeit product cases are increasing exponentially. A supply chain management system that ensures transparency, reliability, and provenance of drugs would increase the trustworthiness of the whole industry. One solution to all three needs is utilizing blockchain-based distributed ledger technologies (DLTs). Even though DLTs are emerging as an
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Evolution learning method to derive missing elements and optimal classification under the connection hesitant fuzzy environment Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-27 Wei Zhou, Man Liu
Generally, in the qualitative decision-making process, the attributes are independent of each other, thus the given attributes' evaluation data could ignore their connection relationships and make a decision based on incomplete information. To do this, this paper first introduces the hesitant fuzzy set (HFS), an emerging evaluation tool, to develop the connection HFS (CHFS). Furthermore, considering
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Exploring the potentials of artificial intelligence towards carbon neutrality: Technological convergence forecasting through link prediction and community detection Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-27 Xi Xi, Jianyu Zhao, Lean Yu, Ce Wang
To explore future opportunities for artificial intelligence (AI) in achieving carbon neutrality goals, this study introduces a forecasting framework that combines link prediction and community detection. The proposed framework begins by utilizing patent information and the International Patent Classification to construct a co-occurrence network. Subsequently, it is computed and validated using two
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Research on collaborative innovation cooperation strategies of manufacturing digital ecosystem from the perspective of multiple stakeholders Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-27 Yanfang Wang, Juan Shi, Guohua Qu
The digital ecosystem has hastened the fusion of manufacturing and digital technology in realizing product and service value. However, due to the coordination dilemmas within the digital ecosystem such as risk sharing, competition and cooperation among stakeholders, this study aims to explore the collaborative innovation cooperation strategies of multiple stakeholders, and to investigate the interaction
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Role of risk aversion in operational decisions with remanufacturing under emissions price volatility Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-26 Junfei Ding
Previous studies have extensively investigated the optimal operational decisions for firms under emission trading scheme, assuming a constant emissions price. However, the volatility of the emissions price has always been ignored, leaving the resulting operational decisions unclear for risk-averse firms. In this paper, we examine the impacts of risk aversion in the presence of emissions price volatility
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A self-learning multi-population evolutionary algorithm for flexible job shop scheduling under time-of-use pricing Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-24 Zhaohong Jia, Yafei Jia, Chuang Liu, Guoming Xu, Kai Li
Due to the energy crisis and environmental downgrade, manufacturing companies face rising costs. The pressure on manufacturers to reduce costs and increase efficiency is increasing. The flexible job shop scheduling problem considering time-of-use pricing (FJSPTOUP) is studied to minimize the maximum completion time and total electricity cost. A new self-learning multi-population evolutionary algorithm
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Demand-adapted train timetabling with coupling-decoupling operations on a bidirectional intercity railway line Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-24 Jie Liu, David Canca, Hongxia Lv, Shaoquan Ni
Many factors need to be considered when designing the timetable of intercity railway lines, where the passenger demand is variable and unbalanced along time in both directions of the line. This paper introduces a new multi-objective nonlinear integrated optimization model for designing full-day train timetables incorporating coupling-decoupling operations and rolling stock assignment on a bidirectional
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Long-sighted dispatching rules for manufacturing scheduling problem in Industry 4.0 hybrid approach Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-24 Emma Salatiello, Silvestro Vespoli, Guido Guizzi, Andrea Grassi
The introduction of Cyber–Physical Systems, the implementation of machine learning, and the proposal of other technologies are some of the main features of Industry 4.0, which aims to change the way of production by introducing more flexibility and more autonomous decision-making by machines. The presence of centralized and decentralized systems and the continuous change in the market scenario has
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Door to door space-time path planning of intercity multimodal transport network using improved ripple-spreading algorithm Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-24 Ruixia Yang, Dewei Li, Baoming Han, Weiteng Zhou, Yiran Yu, Yawei Li, Peng Zhao
The main objective of this study is to solve the problem of recommending door-to-door space–time paths in an intercity multimodal transport network. The available modes include railway, metro, bus, rapid-bus, and walking. In terms of mathematical modeling, the reconstructed space–time path planning model considers multiple constraints, such as acyclic constraint, flow balance constraint and transfer
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Data-driven supplier evaluation in complex product industry value chain for brand value co-creation Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-24 Xingyu Chen, Congdong Li, Yelin Fu, Haoran Wu, Ting Qu
In the context of big data, it is an excellent challenge to evaluate suppliers under a brand value (BV) co-creation scenario due to the complexity of the BV co-creation process, as well as the nature of the multilayer complex network (MCN) relationships among suppliers in a complex product industrial value chain (CPIVC). To improve the BV satisfaction and accuracy of supplier evaluation results and
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An incremental method-based machine learning approach for max–min knapsack with multiple scenarios Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-24 Juntao Zhao, Mhand Hifi, Yulin Zhang, Xiaochuan Luo
In this paper, the max–min knapsack problem with multiple scenarios is addressed using an incremental method-based machine learning approach. The method is structured around three key phases: a learning phase, an exploitation phase, and an exploration phase. During the learning phase, the algorithm initiates by generating a sequential set of initial elite solutions through a Q-table scoring procedure
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Optimization of trucks and drones in tandem delivery network with drone trajectory planning Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-23 James C. Chu, C.S. Shui, Keng-Hsuan Lin
Drones are widely recognized as an efficient method for delivering small and lightweight parcels, such as medicines, to customers who are difficult to reach by logistic vehicles. Various studies and projects have been conducted to integrate drones into the traditional logistic service. In this approach, drones stay on trucks, take off from trucks at specific locations to make deliveries to customers
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A constraint-driven conceptual design approach for product based on function-behavior-structure design process Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-22 Xiaoyun Fu, Haoyu Zhang, Liting Jing, Xiaoyan Fan, Congda Lu, Shaofei Jiang
Conceptual design is an important part of new product development (NPD) since it relies on performance, quality, and cost restrictions from users during the design process, and it has a direct impact on downstream design activities. However, in the function-behavior-structure (FBS) design model, constraints are only frequently used in the scheme evaluation or detailed optimization stage, ignoring the
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Managing physical inventory and return policies in omnichannel retailing Comput. Ind. Eng. (IF 7.9) Pub Date : 2024-02-22 Baomei Ma, Bo Mao, Sifeng Liu, Fanlin Meng, Jian Liu