Solving Many-Objective Car Sequencing Problems on Two-Sided Assembly Lines Using an Adaptive Differential Evolutionary Algorithm

The car sequencing problem (CSP) is addressed in this paper. The original environment of the CSP is modified to reflect real practices in the automotive industry by replacing the use of single-sided straight assembly lines with two-sided assembly lines. As a result, the problem becomes more complex caused by many additional constraints to be considered. Six objectives (i.e. many objectives) are optimised simultaneously including minimising the number of colour changes, minimising utility work, minimising total idle time, minimising the total number of ratio constraint violations and minimising total production rate variation. The algorithm namely adaptive multi-objective evolutionary algorithm based on decomposition hybridised with differential evolution algorithm (AMOEA/D-DE) is developed to tackle this problem. The performances in Pareto sense of AMOEA/D-DE are compared with COIN-E, MODE, MODE/D and MOEA/D. The results indicate that AMOEA/D-DE outperforms the others in terms of convergence-related metrics

The strategic approach: to imply the environment in companies the ISO 14001 standard

Following the changes in the previous versions of the ISO 14001 standard's since the first publication in 1996 until the 2015 standard edition. The ISO 14001 is still an environmental management tool in companies. also the 2015 th version called for the implementation of a strategic environmental management system.in the standard ,it exists a requirement in the chapter (4.1).the context of the institution in this point is that the last one should determine the external and internal issues relevant to its purpose

University Management Strategies according to the Concept of Capacity Building in Biodiversity of Thailand

This research was aimed to 1)examine the concept of university management following the concept of capacity building in biodiversity of Thailand 2) explore the current and desirable situations of university management based on the concept of capacity building in biodiversity of Thailand. 3) to analyze strengths, weaknesses, opportunities and treats of university management following the concept of capacity building in biodiversity of Thailand; and 4) to develop management strategies of university management following the concept of capacity building in biodiversity of Thailand. The study applied a mixed method approach. The samples were 94 higher education institutors. The instruments used in this study were a questionnaires on the conceptual framework, a questionnaire on the current and desirable situations, and the strategic evaluation form to testify feasibility and appropriateness. The data were analyzed by frequency, percentage, standard deviation, PNIModified and content analysis. The research results show the following findings. (1) the conceptual framework of the university management of; (1) To providing graduates (2) To research and (3) To providing academic services for based on the concept of capacity building in biodiversity of Thailand as follows: Access and benefit sharing included embedded learning and concept. Conservation and rehabilitation; and Development of biodiversity values. (2) For the current situation, the 3 missions, i.e. graduates production, research, and academic services are at moderate level, while they are at high level for the desirable situation. (3) Their strengths are academic services and research; weakness is graduates production; opportunities are academic services and research were the government policy economy society and technology and threat is graduates production were the government policy economy society and technology (4) The university management according to the concept of capacity building in biodiversity of Thailand comprises 3 main strategies: 1) reforming management and development of graduates based on the concept of capacity building in biodiversity of Thailand; 2) enhancing research management based on the concept of capacity building in biodiversity of Thailand; and 3) upgrading academic services based on the concept of capacity building in biodiversity of Thailand. These strategies are intended to strengthen the protection of species of the living organisms and the ecosystems for sustaining natural and environmental balances

Superconducting properties and magneto-optical imaging of Ba0.6K0.4Fe2As2 PIT wires with Ag addition

We have fabricated (Ba,K)Fe2As2 superconducting wires through ex-situ powder-in-tube method. Silver was used as a chemical addition to improve the performance of these superconducting wires. The transport critical current densities (Jc) have reached 1.3\times104 A/cm and 1.0\times104 A/cm2 at 4.2 K under self field in the wires with and without Ag addition. We used magneto-optical (MO) imaging technique to investigate the properties of grain boundaries in the (Ba,K)Fe2As2 superconducting wire with Ag addition. MO images show the weak links in the Fe-based superconducting wires for the first time. An intragranular Jc of 6.0\times104 A/cm2 at 20 K is obtained from MO image, which is consistent with the estimation from M-H measurement.Comment: 11 pages, 6 figures, to appear on Superconductor Sci. and Tec

Visual Servo Kinematic Control of Delta Robot using YOLOv5 Algorithm

Industrial delta robots with motion-and vision-base controllers, providing high-precision and fast/flexible motion, normally come with high cost and complex software. Low-cost delta robots with vision solution could be beneficial to vast industries to increase productivity and to reduce labor cost. A delta robot using a low-cost motion controller and an open-source vision system is developed to accomplish real-time visual servoing with high motion accuracy. In the low-cost motion controller, three parallel links’ upper-arm angles, computed from inverse kinematics for a given desired target position by a high-level computer, are used as reference position commands for three AC-motor drives. A low-level Arduino microcontroller is employed to convert these links’ angles to high-frequency pulses and on-off signals for synchronously controlling three motor angles and direction. Experimental results of a point-to-point motion tracking exhibit high-precision repeatability. Synchronous pulse generation from Arduino microcontroller and structural misalignments of parallel links are major challenges for achieving high motion accuracy.  For the vision-based system, the YOLOv5 algorithm is implemented along with a Python GUI Application. Then, the visual-servo performance is evaluated on localization accuracy and recognition rate of 3-color objects. However, a partial object occlusion can reduce the visual classification rate. A sorting task of 4-category medicine boxes demonstrate a high-speed pick-and-place operation using the low-cost visual-servo system of this delta robot. Therefore, integration of low-cost visual servoing with this delta robot can revolutionize various industries, like automobile, pharmaceutical, and food sectors, in separating, sorting and packing applications

การจัดลำดับการผลิตรถยนต์แบบมากวัตถุประสงค์บนสายการประกอบผลิตภัณฑ์ผสมแบบสองด้านMany-Objective Car Sequencing Problem on Mixed-model Two-sided Assembly Lines

วิธีการเชิงวิวัฒนาการแบบหลายวัตถุประสงค์โดยยึดหลักการจำแนก (A Multi-Objective Evolutionary Algorithm based on Decomposition; MOEA/D) เป็นเมตาฮิวริสติกเชิงวิวัฒนาการที่ได้รับการพัฒนามาเพื่อแก้ปัญหาแบบมากวัตถุประสงค์ (Many-Objective Optimization Problems; MaOPs) โดยมีแนวคิดในการค้นหาคำตอบด้วยการจำแนกปัญหาออกเป็นปัญหาย่อยเพื่อหาคำตอบที่ดีที่สุดของปัญหาย่อยนั้นๆ งานวิจัยนี้ จึงเสนอ MOEA/D มาเปรียบเทียบกับวิธีการวิวัฒนาการโดยใช้ผลต่างแบบหลายวัตถุประสงค์ (Multi-Objective Differential Evolution Algorithm; MODE) ในการแก้ปัญหาการจัดลำดับการผลิตรถยนต์แบบมากวัตถุประสงค์บนสายการการประกอบสองด้าน ซึ่งถูกจัดเป็นปัญหา MaOPs และปัญหาประเภทเอ็นพียาก (Non-deterministic Polynomial Hard; NP-Hard) เนื่องจากมีความซับซ้อนและจำนวนคำตอบที่มาก โดยมีวัตถุประสงค์ที่ถูกประเมินพร้อมกัน 5 วัตถุประสงค์ ได้แก่ จำนวนครั้งการเปลี่ยนแปลงสีน้อยที่สุด จำนวนรถยนต์ที่ละเมิดรวมน้อยที่สุด ปริมาณงานที่ทำไม่เสร็จในการผลิตน้อยที่สุด เวลารอคอยงานรวมในการผลิตน้อยที่สุด และความแปรผันรวมของสัดส่วนการผลิตน้อยที่สุด ซึ่งจากการทำลองพบว่า MOEA/D มีสมรรถนะด้านการลู่เข้าสู่คำตอบที่แท้จริงและเวลาที่ใช้ดีกว่า MODEA Multi-objective Evolutionary Algorithm based on Decomposition (MOEA/D) is an evolutionary metaheuristic which has been developed to solve Many-Objective Optimization Problems (MaOPs). The concept of searching for answers is to decompose the original problem into subproblems for finding the optimal solution of each subproblem. This study proposes a MOEA/D compared with a Multi-Objective Differential Evolution algorithm (MODE) in order to solve many-objective car sequencing problem on twosided assembly lines which is classified as a MaOPs and be non-deterministic polynomial hard problem (NP-Hard problem) due to complexity and a large number of solutions. Five objectives were simultaneously evaluated, including the minimal number of color changes, of vehicle violations, along with the minimum amount of unfinished production, of total idle time of the line, and of total variation in rate of production. The experiments showed that MOEA/D has better aspects of convergence performance and time consumption than MODE counterpart

AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series

This paper presents AnoViz, a novel visualization tool of anomalies in multivariate time series, to support domain experts and data scientists in understanding anomalous instances in their systems. AnoViz provides an overall summary of time series as well as detailed visualizations of relevant detected anomalies in both query and stream modes, rendering near real-time visual analysis available. Here, we show that AnoViz streamlines the process of finding a potential cause of an anomaly with a deeper analysis of anomalous instances, giving explainability to any anomaly detector

Prevalence of low trabecular bone score and its association with disease severity and activity in patients with axial spondyloarthritis

Abstract Axial spondyloarthritis (axSpA) increases the risk of osteoporosis and vertebral fractures. Bone mineral density (BMD) measured by dual X-ray absorptiometry (DXA) has limitations in axSpA patients. Trabecular bone score (TBS) indirectly assesses bone microarchitecture and can be used to predict fracture risk. However, few studies have investigated the role of TBS in axSpA patients. The objective of this study were to compare TBS between axSpA patients and 1:1 sex- and age-matched healthy volunteers and determine factors associated with low TBS in axSpA patients. A cross-sectional study was conducted in two tertiary-care hospitals. A total of 137 axSpA patients and healthy volunteers were enrolled. Demographics, disease characteristics, and risk factors for osteoporosis were recorded. TBS, BMD at the lumbar spine, hip, and vertebral fractures were assessed by DXA. Low TBS was defined as a TBS value < 1.230. Factors associated with low TBS were examined by logistic regression. Most patients were male (75.9%) and tested positive for HLA-B27 (88.3%). The mean (SD) age was 42.8 (12.0) years. The mean (SD) of TBS in the axSpA patients was lower than those in the healthy volunteers [1.402 (0.107) vs 1.440 (0.086), respectively; p = 0.002]. The mean (SD) of lumbar BMD in the axSpA patients was higher than in healthy volunteers [1.186 (0.212) vs 1.087 (0.124), p < 0.001], whereas the mean (SD) of femoral neck BMD in the axSpA group was lower than that in the healthy volunteers [0.867 (0.136) vs 0.904 (0.155), p = 0.038]. Disease severity as indicated by sacroiliac joint fusion and a high ASDAS score were associated with low TBS with the odds ratios (95% confidence interval) of 11.8 (1.2–115.4) and 5.2 (1.6–16.9), respectively. In conclusion, axSpA patients had a higher prevalence of low TBS than healthy volunteers. Sacroiliac joint fusion and a high ASDAS score were associated with low TBS