International Journal of Industrial Engineering: Theory, Applications and Practice
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    DESIGNING THE SHAPE OF A NOSE CLIP FOR A HALF-FACE MASK USING 3D ANTHROPOMETRIC FACE ANALYSIS: Half-face mask with 3D anthropometry

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    This study designed the shape of a nose clip for a half-face mask by considering 3D facial contours. 3D facial scan data for 60 participants (mean age = 23.8 ± 2.0 years old) were collected. Three facial shapes were identified in a cluster analysis based on the facial dimensions: small (3.3%), medium (88.3%), and large (8.3%). The medium group, with the largest accommodation, was selected as the shape of the nose clip. Next, a virtual fitting test for a digital prototype with the nose clip shape was conducted to evaluate to the match with participants’ facial contours. Lastly, a half-face mask with the novel nose clip was compared to a half-face mask without the nose clip in terms of subjective satisfaction and humidity level caused by air leaking. The half-face mask with the nose clip achieved better performance for both subjective satisfaction (4.9 out of 7) and humidity level (9.4%)

    SIMULATION-BASED DECISION MODEL TO CONTROL DYNAMIC MANUFACTURING REQUIREMENTS: APPLICATION OF GREY FORECASTING - DQFD

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    Manufacturing systems have to adapt to changing requirements of their internal and external customers. In fact, new requirements may appear unexpectedly and may change multiple times. Change is a straightforward reality of production, and the engineer has to deal with the dynamic work environment. In this perspective, this paper proposes a decision model in order to fit actual and future processes’ needs. The proposed model is based on the dynamic quality function deployment (DQFD), grey forecasting model GM (1,1) and the technique for order preference by similarity to ideal solution (TOPSIS). The cascading QFD-based model is used to show the applicability of the proposed methodology. The simulation results illustrate the effect of the manufacturing needs changes on the strategic, operational and technical improvements

    A DECOMPOSITION-BASED HEURISTIC ALGORITHM FOR PARALLEL BATCH PROCESSING PROBLEM WITH TIME WINDOW CONSTRAINT

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    This study considers a parallel batch processing problem to minimize the makespan under constraints of arbitrary lot sizes, start time window and incompatible families. We first formulate the problem with a mixed-integer programming model. Due to the NP-hardness of the problem, we develop a decomposition-based heuristic to obtain a near-optimal solution for large-scale problems when computational time is a concern. A two-dimensional saving function is introduced to quantify the value of time and capacity space wasted. Computational experiments show that the proposed heuristic performs well and can deal with large-scale problems efficiently within a reasonable computational time. For the small-size problems, the percentage of achieving optimal solutions by the DH is 94.17%, which indicates that the proposed heuristic is very good in solving small-size problems. For large-scale problems, our proposed heuristic outperforms an existing heuristic from the literature in terms of solution quality

    REAL-TIME ONLINE QUALITY FEEDBACK SYSTEM BASED ON DIGITAL VISUALIZATION

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    Industry 4.0, initiated by Germany in 2013, focuses on digitization and process optimization in manufacturing. China's 'Made in China 2025' plan, aligned with Industry 4.0, was introduced in 2015. Motors are pivotal in industrial manufacturing, necessitating robust quality control. To enable real-time adjustments and enhance product quality, we propose an Online Quality Feedback (OQF) system using MySQL and big data. Implemented in H company's motor production line, this system gathers real-time data from sensor-equipped stations, processes it through MySQL and big data analysis, and presents outcomes on a web interface. This empowers process and equipment engineers with concise insights for effective decision-making, ultimately improving the manufacturing process. Results affirm the effectiveness of our method in enhancing production management

    THE IMPACT OF GOVERNMENT SUBSIDIES ON BATTERY SWAPPING MODE: FROM THE PERSPECTIVE OF BATTERY SWAPPING SUPPLY CHAIN

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    Battery Swapping Stations (BSSs) encountered several problems, such as an insufficient quantity and high construction costs, which restricted the development of the Battery Swapping Mode (BSM). This paper addresses these issues by examining government subsidies for the construction of BSSs and establishing a battery-swapping supply chain comprising the vehicle manufacturer, the battery-swapping operator, and the consumer. It employs a game model to investigate the impact of subsidy policies on the BSM, solving for the optimal battery-swapping electric vehicle selling price, battery rental price, comprehensive construction level of BSS, and government subsidy proportion. The study simulates the game equilibrium using real-world battery-swapping market data and analyzes the enhancement brought by government subsidies on the BSM. The findings reveal that: (1) The effect of government subsidies does not consistently improve with an increase in the subsidy proportion. Based on changes in social welfare, there exists a reasonable range for government subsidies, with the highest social welfare observed at a subsidy proportion of approximately 85%. (2) Sensible government subsidies for the construction of BSSs effectively boost their numbers, expand market demand, increase social welfare, elevate construction standards, and enhance manufacturer and operator profits. (3) For the battery-swapping operator, the impact of a balanced battery ratio on profits far outweighs the subsidy proportion. Furthermore, a higher battery ratio is not conducive to the long-term sustainability of the BSM

    MODELLING OF CROWD DYNAMICS CONSIDERING EMERGENCY SIGNS AND EMOTIONS

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    Emergency signs play an important role in evacuation guidance, and some works show that the behavior of the crowd in the process of evacuation is easily affected by emotion and personality. However, existing crowd simulation methods rarely involve the interaction between emotion and emergency signs. Thus, a crowd evacuation simulation method considering emotion and emergency signs is proposed to simulate the crowd evacuation behavior under the guidance with signs, and it is verified by simulation experiments through Unity3D. The method provides a novel research perspective for guided crowd evacuation simulation, and it can make simulation results more real to the actual scenes

    A NOVEL MICRO-FULFILLMENT CENTER LOCATION PROJECT SELECTION APPROACH

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    With the development of modern e-commerce and chain stores, logistics capabilities have become the key to success. A logistics company must set up many micro-fulfillment centers (MFCs) in a city or region to provide last-mile logistics services to their customers. So far, there were only a few studies have been proposed on how to select some appropriate MFCs in a city or region. This study proposed a zero-one goal programming (0-1 GP) method that considers multiple objectives to select appropriate MFC location projects in a city or region. This work classifies the critical objectives for selecting MFC location projects into benefit-related objectives and cost-related objectives and then formulates a 0-1 GP model. This model also considers the constraints of limited resources and the interactions between projects. In practice, the proposed 0-1 GP model may be complex because of the number of candidate projects and the level of interactions. This study used the "technique for order preference by similarity to ideal solution" (TOPSIS) method to simplify the proposed 0-1 GP model to a dual-objective function model or a one-objective function model to obtain a compromise solution. A case of a logistics company was used to explain the application of the proposed model and problem-solving process. The proposed method and the traditional 0-1 GP method were also compared. The results reveal that the proposed 0-1 GP model can effectively select the appropriate MFC location projects. The TOPSIS method can simplify the 0-1 GP model into a one-objective function model, and then the problem-solving process can be efficient. Two indicators proposed in the TOPSIS method, the objective value (OV) denotes the value of the objective function, and the fulfillment degree (FD) represents the degree of achievement of the objective function, can help decision makers observe and compare the compromise solutions under different weight situations to make their final decision

    CELEBRATING 30 YEARS OF EXCELLENCE: A TRIBUTE TO AUTHORS AND REVIEWERS OF THE INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING: THEORY, APPLICATIONS AND PRACTICE

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    As we stand on the cusp of the 30th anniversary of the International Journal of Industrial Engineering: Theory, Applications and Practice (we call it “the Journal”), it is a moment to celebrate its remarkable journey and acknowledge the vital roles played by its authors and reviewers. From its inception, the Journal has evolved into a leading international journal renowned for its commitment to publishing high-quality research that has significantly impacted the field of industrial and manufacturing engineering. The Journal's scope encompasses a broad spectrum of industrial engineering disciplines. This comprehensive approach ensures that the Journal remains at the forefront of industrial engineering research and continues to serve as a valuable resource for both scholars and practitioners in the field

    CRITICAL BARRIERS OF FOOD SUPPLY CHAIN MANAGEMENT AND APPLICATION OF BLOCKCHAIN TECHNOLOGY TO MITIGATE THEIR IMPACTS

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    Food safety and food security have captured the significant attention of researchers. The main objective of this study is to identify the critical barriers of food supply chain management in the Indian context. For this, a decision-making trial and evaluation laboratory (DEMATEL) based approach is used. With an assessment of existing literature and consultation with food chain experts, 15 barriers have been identified for analysis. Critical barriers and their causal relationships are explored through the cause-and-effect diagram. Results of this study show that the barriers, namely “Lack of Government policy and regulation support” (B8) and “Extreme & diverse climate conditions in India” (B15), are the top two most critical and influential barriers. Recent advances in Blockchain technology have paved for mitigating the impact of these barriers on the performance of the food supply chain, and with the suitable intervention of Blockchain technology, many such barriers can be overcome, thereby improving food supply chain performance

    AN EXTENSION OF THE FAILURE MODE EFFECTS AND CRITICALITY ANALYSIS WITH FUZZY ANALYTICAL HIERARCHY PROCESS METHOD TO ASSESS THE EMERGENCY SAFETY BARRIERS

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    The emergency safety barrier is one of the reactive technical safety barriers in industrial facilities. Degrade of emergency safety barriers can lead to a major accident with serious consequences for people, property and the environment. In this context, the purpose of this article is to present a proposed methodology to identify these deficiencies, thus ensuring the effectiveness of the emergency safety barriers. This paper presents an integrated approach that uses fuzzy set theory, extension of failure modes, effects and criticality analysis and the fuzzy analytic hierarchy process method to deal with uncertainty in decision-making related to the prioritization of risk factors. These risk factors are the prioritization of corrective actions associated with the most critical disturbance modes to improve the reliability of emergency safety barriers. In addition, a Liquefied Petroleum Gas production facility was selected as a case study to assess the emergency safety barriers. The results show that the proposed methodology provides the possibility to evaluate the fire-fighting systems. In addition, the fuzzy analytical approach method is the most reliable and accurate. Therefore, some corrective actions are suggested to reduce the failure criticality of the emergency safety barriers and help practitioners prioritize the improvement of the emergency safety barriers of the Liquefied Petroleum Gas storage facility. This paper has an important role in the dysfunctional analysis of the emergency safety barriers related to the others effects of the release of LPG, such as the effects of domino scenarios

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    International Journal of Industrial Engineering: Theory, Applications and Practice
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