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Journal articles on the topic 'Job design optimization tool'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Darware, N. P., Prof Bhavesh Bohra, Prof Swapanil Chaudhary, Dr Bharat Chede, and Dr Somdatta Karanjekar. "Design, Optimization and Analysis of Milling Fixture." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 1385–87. http://dx.doi.org/10.22214/ijraset.2023.53858.

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Abstract: The manufacturing industry of small scale provides wide range of products to fulfill the market needs. To face many challenges of market these industries should increase their production rate with good quality and accuracy. The manual production is of low production rate and long throughput time. Moreover, standardization of manual processes is difficult and also its difficulty in maintenance, thus fixtures is used on the machines. Therefore, this study aims to design a Fixture. Basically, Fixture is a work holding device to guide the tool. The main purpose of making this fixture is

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Pol, G. J., A. R. Jadhav, S. J. Kadam, S. V. Kumbhar, and J. G. Shinde. "Design Optimization of Frame of Mechanical Press Machine." Asian Review of Mechanical Engineering 10, no. 1 (2021): 1–7. http://dx.doi.org/10.51983/arme-2021.10.1.2795.

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Power presses are used for the simple, accurate, and economical production of large quantities of articles quickly, accurately, and economically from the cold working of mild steel and other ductile materials. The components produced range over an extremely wide field and are used throughout the industry. Sometimes the pressings may be complicated and more than one pressing operation may be required. The press purpose is to shift one or more sources and movements to a tool or to die to shape or blanch a piece of work. Press design calls for the application of special knowledge about the produc

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Wen, Shilin, Rui Han, Ke Qiu, et al. "K8sSim: A Simulation Tool for Kubernetes Schedulers and Its Applications in Scheduling Algorithm Optimization." Micromachines 14, no. 3 (2023): 651. http://dx.doi.org/10.3390/mi14030651.

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In recent years, Kubernetes (K8s) has become a dominant resource management and scheduling system in the cloud. In practical scenarios, short-running cloud workloads are usually scheduled through different scheduling algorithms provided by Kubernetes. For example, artificial intelligence (AI) workloads are scheduled through different Volcano scheduling algorithms, such as GANG_MRP, GANG_LRP, and GANG_BRA. One key challenge is that the selection of scheduling algorithms has considerable impacts on job performance results. However, it takes a prohibitively long time to select the optimal algorit

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Li, Xin Hua, Jian Zhou, Yi Zhang, and Ling Dai. "Fuzzy Optimal Design of Tower Crane Jib." Advanced Materials Research 199-200 (February 2011): 530–33. http://dx.doi.org/10.4028/www.scientific.net/amr.199-200.530.

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This article takes the tower crane jib as the optimized object, in view of the jib unique feature, and has established the jib quality optimization objective function, then uses amplification coefficient to obtain its membership function to the fuzzy constraint condition,thus has transformed constraint condition very well. Direct searching tool-box of MATLAB software is adopted to get the optimization model,not only is simplified the optimization process,but also global optimal solution is found reliably.

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Karthik, Hosavaranchi Puttaraju. "OPTIMIZING JOB DESIGN FOR BUSINESS STRATEGIC EXECUTION: A JDOT-BASED FRAMEWORK FOR AI-DRIVEN ORGANIZATIONAL TRANSFORMATION." International Journal of Business Quantitative Economics and Applied Management Research 7, no. 8 (2023): 33–45. https://doi.org/10.5281/zenodo.14679607.

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Strategic execution is critical to achieving business objectives, but organizations often fail to align job roles effectively to drive execution. The Job Design Optimization Tool (JDOT) offers a structured framework for aligning roles to strategic goals and understanding the probability of a person succeeding in that role by focusing on job spans—accountability, control, influence, and support. This paper applies JDOT to optimize roles for strategic execution, using the Go Mobile regional manager case study and how it impacted the traditional role. Additionally,

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Tang, Changjiang, Sukanya Chaemchoy, and Pruet Siribanpitak. "Identifying professional development needs to enhance inclusive leadership among university faculty in Chongqing, China." International Journal of Innovative Research and Scientific Studies 8, no. 3 (2025): 366–78. https://doi.org/10.53894/ijirss.v8i3.6510.

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This study aims to identify the professional development needs required to enhance inclusive leadership among university faculty members in Chongqing, China. As part of a broader initiative to design a competency-based training model for higher education, the research adopts a quantitative, descriptive design involving 379 academic professionals. A structured needs assessment tool, utilizing a modified Priority Needs Index (PNImodified), was employed. The findings revealed significant gaps between the current and desired states of inclusive leadership, particularly in talent optimization, adap

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Penazzi, Stefano, Riccardo Accorsi, Emilio Ferrari, Riccardo Manzini, and Simon Dunstall. "Design and control of food job-shop processing systems." International Journal of Logistics Management 28, no. 3 (2017): 782–97. http://dx.doi.org/10.1108/ijlm-11-2015-0204.

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Purpose The food processing industry is growing with retail and catering supply chains. With the rising complexity of food products and the need to address food customization expectations, food processing systems are progressively shifting from production line to job-shops that are characterized by high flexibility and high complexity. A food job-shop system processes multiple items (i.e. raw ingredients, toppings, dressings) according to their working cycles in a typical resource and capacity constrained environment. Given the complexity of such systems, there are divergent goals of process c

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Salonvaara, Mikael, Andre Desjarlais, Antonio J. Aldykiewicz, et al. "Application of Machine Learning to Assist a Moisture Durability Tool." Energies 16, no. 4 (2023): 2033. http://dx.doi.org/10.3390/en16042033.

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The design of moisture-durable building enclosures is complicated by the number of materials, exposure conditions, and performance requirements. Hygrothermal simulations are used to assess moisture durability, but these require in-depth knowledge to be properly implemented. Machine learning (ML) offers the opportunity to simplify the design process by eliminating the need to carry out hygrothermal simulations. ML was used to assess the moisture durability of a building enclosure design and simplify the design process. This work used ML to predict the mold index and maximum moisture content of

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Xu, Shu Bo, K. K. Sun, Cai Nian Jing, and Guo Cheng Ren. "Finite Element Analysis and Optimization of Structure for Large Blanking Machine Equipment during High-Speed Blanking." Materials Science Forum 697-698 (September 2011): 176–81. http://dx.doi.org/10.4028/www.scientific.net/msf.697-698.176.

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This paper reviews the background and significance to investigate the high-speed speed blanking process modeling simulation and optimization of large blanking machine equipment for CNC uncoiling, leveling and shearing line. And a powerful tool has been providing to of heavy machinery optimal design specifications. The finite element model of beam structure has been established by using a three-dimensional modeling software UG NX4.0 CAD and finite element analysis software ANSYS. Then the static and dynamic characteristics results of the whole beam structure have been simulated. On the basis of

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Bao, Bizhen, Zhao Duan, Ningbo Xu, et al. "A new algorithm of the scheduling of a flexible manufacturing system based on genetic algorithm." Manufacturing Review 10 (2023): 11. http://dx.doi.org/10.1051/mfreview/2023010.

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In the flexible manufacturing system, a reasonable production scheduling is crucial in shortening the processing completion time and improving the equipment utilization. Traditional manual scheduling cannot effectively solve the complex workshop scheduling problems and cannot provide a scheduling solution that meets the requirements in a short period of time, which can lead to a decrease in processing efficiency. Aiming at the complex job shop scheduling problem, the genetic algorithm is used to find the optimal scheduling solution in this study, taking the number of overdue jobs, the total ov

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Viazlo, Oleksandr, and André Sailer. "Efficient Iterative Calibration on the Grid using iLCDirac." EPJ Web of Conferences 245 (2020): 03003. http://dx.doi.org/10.1051/epjconf/202024503003.

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Software tools for detector optimization studies for future experiments need to be efficient and reliable. One important ingredient of the detector design optimization concerns the calorimeter system. Every change of the calorimeter configuration requires a new set of overall calibration parameters which in turn requires a new calorimeter calibration to be done. An efficient way to perform calorimeter calibration is therefore essential in any detector optimization tool set. In this contribution, we present the implementation of a calibration system in iLCDirac, which is an extension of the DIR

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Wu, Jingjing. "Research on Precise Recruitment Strategy of Hospital Talents Based on Post Competency Model." Scientific and Social Research 6, no. 12 (2025): 338–43. https://doi.org/10.26689/ssr.v6i12.9240.

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This study focuses on the precise recruitment strategy of hospital talents based on the post competency model. Through the analysis of the current situation and problems of hospital talent recruitment, this paper expounds the method and significance of the construction of post competency model. This paper discusses in detail how to design accurate recruitment process based on this model, including job analysis, competency assessment tool development, recruitment channel optimization, and improvement of interview and selection links. The aim is to provide scientific and effective talent recruit

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Mohanan, Martin, Poorva Belwal, Samit Kapoor, Satya Sharma, and Mrs Kirti Kushwah. "Revolutionizing Career Advancement: A Comprehensive Research on a Resume Builder Application." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 2763–68. http://dx.doi.org/10.22214/ijraset.2024.60511.

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Abstract: This abstract describes a modern Resume Builder Application that serves both job seekers and recruiters. It provides a comprehensive platform for producing, assessing, and matching resumes.The Resume Builder Application uses advanced natural language processing and machine learning to help users create personalized and visually appealing resumes. The userfriendly design provides a smooth experience by emphasizing significant abilities, experiences, and achievements. The application provides dynamic templates and content optimization features to guarantee resumes meet industry standar

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V. Chandra Prakash, Dr, Subhash Tatale, Vrushali Kondhalkar, and Laxmi Bewoor. "A Critical Review on Automated Test Case Generation for Conducting Combinatorial Testing Using Particle Swarm Optimization." International Journal of Engineering & Technology 7, no. 3.8 (2018): 22. http://dx.doi.org/10.14419/ijet.v7i3.8.15212.

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In software development life cycle, testing plays the significant role to verify requirement specification, analysis, design, coding and to estimate the reliability of software system. A test manager can write a set of test cases manually for the smaller software systems. However, for the extensive software system, normally the size of test suite is large, and the test suite is prone to an error committed like omissions of important test cases, duplication of some test cases and contradicting test cases etc. When test cases are generated automatically by a tool in an intelligent way, test erro

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Lowther, David, Vahid Ghorbanian, Mohammad Hossain Mohammadi, and Issah Ibrahim. "Design tools for electromagnetic-driven multi-physics systems using high performance computing." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 39, no. 1 (2019): 198–205. http://dx.doi.org/10.1108/compel-06-2019-0234.

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Purpose The design of electromagnetic systems for a variety of applications such as induction heating, electrical machines, actuators and transformers requires the solution of a multi-physics problem often involving thermal, structural and mechanical coupling to the electromagnetic system. This results in a complex analysis system embedded within an optimization process. The appearance of high-performance computing systems over the past few years has made coupled simulations feasible for the design engineer. When coupled with surrogate modelling techniques, it is possible to significantly redu

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Hutchins, Amber L. "Beyond resumes: LinkedIn for marketing educators." Journal of Research in Interactive Marketing 10, no. 2 (2016): 137–47. http://dx.doi.org/10.1108/jrim-12-2015-0099.

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Purpose This paper aims to explore expanded uses for LinkedIn.com as a teaching tool, beyond introductory assignments, for in-demand and emerging marketing techniques. Design/methodology/approach This paper reviews the current use of LinkedIn as a teaching tool for marketing educators and presents sample assignments that can be used to introduce students to content marketing, SEO, and online reputation management. Findings Marketing educators have found LinkedIn to be a valuable resource for teaching professional development in the business curriculum. But the site can also provide a platform

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Werthan, Audrey Kay, and Mojtaba Navvab. "Building Design Strategies and Their Contribution to Energy Performance for LEED Certification." Journal of Green Building 1, no. 4 (2006): 67–87. http://dx.doi.org/10.3992/jgb.1.4.67.

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Leadership in Energy and Environmental Design (LEED) is a national set of standards put forth by the U. S. Green Building Council in 1994 that was intended to inspire building designers to plan greener, more sustainable buildings. LEED offers up to ten points for improved energy optimization performance. It should be noted that achieving these ten points is time consuming, complex, and expensive. This research is a case study that details the process of using a computer simulation study as a building energy optimizing tool in order to achieve these optional points. Determination is made as to

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Halabi, Mohammad, Murad Alshehri, Hassan Alzhrani, Mohammed K. Fageha, and Alaa Alaidroos. "DESIGN AND OPTIMIZATION OF A COST-EFFECTIVE NET-ZERO ENERGY MOSQUE LOCATED IN A HOT AND DRY CLIMATE." Journal of Green Building 19, no. 3 (2024): 91–115. http://dx.doi.org/10.3992/jgb.19.3.91.

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ABSTRACT This research paper presents a comprehensive analysis to develop an energy-efficient and net-zero-energy (NZE) model for a proposed hypothetical mosque model located in Riyadh, Saudi Arabia. The study employs a sequential optimization analysis using BEopt software (Building Energy Optimization Tool) to explore various energy conservation measures (ECMs) from three main categories: HVAC, lighting, and building envelope. The ECMs are evaluated based on energy savings and life-cycle cost, with the most cost-effective options selected for the proposed energy-efficient design package. Furt

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Park, Arim, Mark Rodgers, and Soohyun Cho. "Designing Efficient and Equitable Freight Services Markets for Sustainable Economic Performance." American Business Review 27, no. 1 (2024): 167–81. http://dx.doi.org/10.37625/abr.27.1.167-181.

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Despite the indispensability of freight trucking services and truckers’ role as critical stakeholders in supply chains, relatively little attention has been paid to analyzing small independent truckers’ roles. Shippers often prefer working with larger trucking companies to the detriment of smaller independent truckers, who must grapple with an inherently disadvantageous job market. Furthermore, in the presence of uncertainty or peak demand periods, trucker shortages can pose significant economic challenges for shippers and downstream customers. In this paper, we propose an analytical framework

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Singh, Kanwal Jeet, Inderpreet Singh Ahuja, and Jathinder Kapoor. "Optimization of material removal rate in ultrasonic machining of polycarbonate bulletproof glass and acrylic heat-resistant glass by Taguchi method." Multidiscipline Modeling in Materials and Structures 13, no. 4 (2017): 612–27. http://dx.doi.org/10.1108/mmms-04-2017-0019.

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Purpose The purpose of this paper, an original research paper, is to study the optimization of material removal rate (MRR) in ultrasonic machining of polycarbonate bulletproof glass and acrylic heat-resistant glass. The machining of these materials is a very tough job. There are so many constraints which need to be taken into account while machining, but without proper knowledge of material properties and machining parameters, machining is not possible. This paper gives basic knowledge about polycarbonate bulletproof and acrylic heat-resistant glass and provides ways as to how these types of m

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Nur Muflihah, Syifa, and Marsono Marsono. "Strategic Business Planning for Optimizing Work Atmosphere, Employee Participation, and Workforce Efficiency in Manufacturing Industries." Cetta: Jurnal Ilmu Pendidikan 8, no. 4 (2025): 88–97. https://doi.org/10.37329/cetta.v8i4.4460.

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This study aims to analyze the strategic role of corporate initiatives in improving work climate, enhancing employee engagement, and increasing workforce productivity within the manufacturing industry. Employing a descriptive research design, data were obtained through structured surveys and in-depth interviews with employees from several manufacturing firms. The study identifies key strategic factors namely open internal communication, consistent employee recognition, provision of adequate workplace infrastructure, and ergonomic optimization as primary drivers of a positive organizational cli

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Lehr, Doug. "Technology Focus: Completions (April 2021)." Journal of Petroleum Technology 73, no. 04 (2021): 41. http://dx.doi.org/10.2118/0421-0041-jpt.

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In the 2020 Completions Technology Focus, I stated that digitization will forever change how the most complex problems in our industry are solved. And, despite another severe downturn in the upstream industry, data science continues to provide solutions for complex unconventional well problems. Casing Damage Casing collapse is an ongoing problem and almost always occurs in the heel of the well. It prevents passage of frac plugs and milling tools. Forcing a frac plug through the collapsed section damages the plug, predisposing it to failure, which leads to more casing damage and poor stimulatio

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S. Muthukumar. "Artificial Intelligence Adoption and Its Influence on Workforce Dynamics in the IT Sector." Journal of Information Systems Engineering and Management 10, no. 43s (2025): 258–68. https://doi.org/10.52783/jisem.v10i43s.8362.

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Introduction: As a response to evolving job roles and workforce dynamics-related issues, IT firms are turning to more advanced technologies, of which Artificial Intelligence (AI) is a force for change. AI has emerged as one of the most influential and quickest-to-be-adopted innovations, with far-reaching implications in terms of influencing the manner in which companies' operate and the manner in which employees engage with their work. By streamlining mundane and repetitive work, AI not only maximizes operations but also releases human labor to focus on higher-value, innovative, and strategic

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Chakhmakhchev, Alexander. "Case Study: Optimization of Bakken Operations Using Data Science: Examples of the Workflows and Lessons Learned." Journal of Petroleum Technology 77, no. 06 (2025): 1–5. https://doi.org/10.2118/0625-0006-jpt.

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_ Since approximately 2012, large multistage completions in horizontal wells have significantly boosted oil production in the Bakken Formation. As of the time of writing, more than 18,000 stimulated wells have been completed in Bakken using various completion designs. Operators have experimented with well spacing, as well as the size and intensity of stimulation jobs by injecting increasingly large volumes of fluid and proppant to maximize oil production while minimizing costs. However, wells that received larger treatments did not always perform as expected. Furthermore, the aggregated impact

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Wang, Jiehui, and Juanli Guo. "MULTIOBJECTIVE OPTIMIZATION OF THE INTERGENERATIONAL RESIDENTIAL SPACE WITH THE GOAL OF DAYLIGHTING AND THERMAL COMFORT." Journal of Green Building 18, no. 2 (2023): 225–44. http://dx.doi.org/10.3992/jgb.18.2.225.

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ABSTRACT (1) Background: An ageing population and two-child policy have led to the transformation of China’s family structure, and multigenerational residences account for an increasing proportion of mainstream family residences. Different generations of residents have great differences in behaviour patterns and health requirements, but existing residential buildings are not especially designed for health needs. (2) Methods: First, based on relevant codes and a questionnaire survey, the spatial needs and behaviour patterns of different generations of residents are obtained, and the benchmark m

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Van Pham, Vuong, Ebrahim Fathi, and Fatemeh Belyadi. "New Hybrid Approach for Developing Automated Machine Learning Workflows: A Real Case Application in Evaluation of Marcellus Shale Gas Production." Fuels 2, no. 3 (2021): 286–303. http://dx.doi.org/10.3390/fuels2030017.

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The success of machine learning (ML) techniques implemented in different industries heavily rely on operator expertise and domain knowledge, which is used in manually choosing an algorithm and setting up the specific algorithm parameters for a problem. Due to the manual nature of model selection and parameter tuning, it is impossible to quantify or evaluate the quality of this manual process, which in turn limits the ability to perform comparison studies between different algorithms. In this study, we propose a new hybrid approach for developing machine learning workflows to help automated alg

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Wang, Yanyan, Rongjun Man, Xiaofeng Zhao, and Hui Liu. "Modeling of Parallel Movement for Deep-Lane Unit Load Autonomous Shuttle and Stacker Crane Warehousing Systems." Processes 8, no. 1 (2020): 80. http://dx.doi.org/10.3390/pr8010080.

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The autonomous shuttle and stacker crane (AC/SC) warehousing system, as a new automated deep-lane unit load storage/retrieval system, has been becoming more popular, especially for batch order fulfilment because of its high flexibility, low operational cost and improved storage capacity. This system consists of a shuttle sub-system that controls motion along the x-axis and a stacker crane sub-system that controls motion along the y-axis and z-axis. The combination of shuttles and a stacker crane performs storage and retrieval tasks. Modelling the parallel motion is an important design tool tha

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Korzachenko, Mykola. "Application of the lean-construction concept in energy management." PROBLEMS AND PROSPECTS OF ECONOMIC AND MANAGEMENT, no. 4 (40) (December 30, 2024): 111–18. https://doi.org/10.25140/2411-5215-2024-4(40)-111-118.

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Energy consumption constitutes a significant share of costs in industry, transportation, buildings, and households. Efficient energy use contributes to cost reduction. Increasing energy availability supports economic growth, the creation of new technologies, and job opportunities. Efficient energy utilization helps reduce dependence on limited natural resources. The design and construction of energy-efficient buildings are among the most critical issues in the modern world. The effective application of energy resources through innovative solutions is key to addressing this challenge. In Ukrain

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Rajan, S. D., S. W. Chin, and L. Gani. "Toward a Practical Design Optimization Tool." Computer-Aided Civil and Infrastructure Engineering 11, no. 4 (1996): 259–74. http://dx.doi.org/10.1111/j.1467-8667.1996.tb00328.x.

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Mihelič, Aleš, and Boris Štok. "Tool design optimization in extrusion processes." Computers & Structures 68, no. 1-3 (1998): 283–93. http://dx.doi.org/10.1016/s0045-7949(98)00019-4.

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Esping, B. "Design optimization as an engineering tool." Structural Optimization 10, no. 3-4 (1995): 137–52. http://dx.doi.org/10.1007/bf01742585.

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Guo, Yin Sai, Yi Zhang, and Ming Ke Cheng. "Optimization Design of Excavator Working Device." Applied Mechanics and Materials 644-650 (September 2014): 610–13. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.610.

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It has heavy workload, imprecision, not intuition, and other shortcomings by utilizing the traditional methods to optimize excavator working device (bucket). Structural optimization of main working parts excavator (bucket) is performed by finite element analysis technology. Defect of bucket is found out on the basis of static analysis results. Optimization scheme is put forward to meet the job requirements.

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Yudha, Achmad, Roni Kambara, and Dibyantoro Dibyantoro. "Performance optimization through the dimension of job satisfaction." JPPI (Jurnal Penelitian Pendidikan Indonesia) 10, no. 1 (2024): 451. https://doi.org/10.29210/020242412.

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This study attempts to explore more deeply the correlation between the effect of job involvement, digital work design, and IPC organizational culture on the main context of employee performance using job satisfaction as the main mediator.This method uses a quantitative approach with data collection through questionnaires to measure employee perceptions with an interval scale of 1-100 to organic employees, the sampling technique uses simplerandom sampling and data processing using the SEM-PLS instrument.Research findings describe a positive correlation between job involvement on direct performa

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Yudha, Achmad, Roni Kambara, and Dibyantoro Dibyantoro. "Performance Optimization Through The Dimension Of Job Satisfaction." Cakrawala Repositori IMWI 6, no. 4 (2023): 813–23. http://dx.doi.org/10.52851/cakrawala.v6i4.419.

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This study attempts to explore more deeply the correlation between the effect of job involvement, digital work design, and IPC organizational culture on the main context of employee performance using job satisfaction as the main mediator. This method uses a quantitative approach with data collection through questionnaires to measure employee perceptions with an interval scale of 1-100 to organic employees, the sampling technique uses simple random sampling and data processing using the SEM-PLS instrument. Research findings describe a positive correlation between job involvement on direct perfo

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Neeraja, Ch, and Ch Divya Bharathi. "Design And Optimization of Injection Mould Tool." IOSR Journal of Mechanical and Civil Engineering 16, no. 053 (2016): 36–43. http://dx.doi.org/10.9790/1684-16053043643.

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Economikos, L., and R. Sherif. "Design optimization of a laser bond tool." IEEE Transactions on Components, Packaging, and Manufacturing Technology: Part A 19, no. 2 (1996): 234–39. http://dx.doi.org/10.1109/95.506109.

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Mihailov, D. N., E. I. Knyazev, I. V. Borodin, V. A. Blinov, Y. E. Dzhalatyan, and U. S. Ramazanov. "DIGITAL SOLUTION FOR OPTIMIZATION OF FORMATION TESTING DESIGN." Petroleum Engineering 22, no. 4 (2024): 72–82. http://dx.doi.org/10.17122/ngdelo-2024-4-72-82.

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Evaluation of pumping time to receive a clean sample during fluid sampling job with wireline formation tester as well as evaluation of pumping scenarios to minimize sampling duration under existing constrains (reservoir and sandface constrains, safety etc.) are actual problems especially for fluid sampling in low-permeability formation. The article describes the digital solution allowing to simulate mud filtrate invasion in near-wellbore zone during well drilling and mud filtrate displacement by reservoir fluid during fluid sampling job with taking into account a formation damage dynamics. In

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Bin, Zeng, and Jing Zhang. "Design of a Resource Scheduling Tool for Production Project Management." Applied Mechanics and Materials 220-223 (November 2012): 165–68. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.165.

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Production planning is clearly needed in all manufacturing systems, and that is also the case for job shops. When dealing with a small number of products or jobs repetitive scheduling becomes a major issue. In this situation, the same tasks are performed sequentially and repeated from job to job. To help with this problem, a resource scheduling tool is developed that would work alongside Microsoft Project. This tool should act as a front end to Microsoft Project and allow for the creation of a schedule with a minimal amount of work for the scheduling manager. Due to the repetitive nature of pr

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Panjabrao Raut, Mr Pritesh. "Optimization of Tool steel." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47693.

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Abstract Electro Discharge Machining (EDM) is a widely adopted non-traditional machining process used for shaping hard and electrically conductive materials, particularly tool steels. The present study focuses on optimizing the EDM process parameters for tool steel (D3) using a Grey-based Taguchi method to achieve improved machining performance. The primary objectives are to maximize the Material Removal Rate (MRR) while minimizing the surface roughness (Ra). Experiments were conducted on an ELECTRAPULS PS 35 EDM machine, utilizing copper electrodes with varying process parameters: voltage, cu

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Xu, Xiu Fen. "Design of Machine Tool Setting and Parameter Optimization." Advanced Materials Research 706-708 (June 2013): 1132–35. http://dx.doi.org/10.4028/www.scientific.net/amr.706-708.1132.

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To solve the existing problems in the NC machining process, the optimization design of cutting parameters in NC milling machine with genetic algorithm. With the maximum production efficiency as the optimization objective, the spindle speed, feed speed, milling width, depth and other parameters as optimal variables, establishes the optimization mathematical model of machine tool. The optimization results show that: parameters optimization can significantly improve the processing efficiency, and bring economic benefits for enterprises

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Li, Zi Sheng, Cao Jian, and Jiu Yi Xiao. "Optimization Design for Production Logistics System of Corrugated Box." Advanced Materials Research 463-464 (February 2012): 962–66. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.962.

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The existing problems of production logistics system of corrugated box are pointed out. The theory of SLP (Systematic Layout Planning) within facility planning and logistics analysis is employed to optimize the facility layout, production logistics system and working procedures. After analyzes the processes and its parameters of corrugated box, logistics amount is computed, and from-to table is obtained and logistics intensity is counted. And then job units relationship, non logistics factors, and comprehensive relationship for job units etc. are studied. Finally the workshop layout of corruga

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Zhang, Xu, Shilong Wang, Lili Yi, Hong Xue, Songsong Yang, and Xin Xiong. "An integrated ant colony optimization algorithm to solve job allocating and tool scheduling problem." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, no. 1 (2016): 172–82. http://dx.doi.org/10.1177/0954405416636038.

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In this article, max–min ant colony optimization algorithm is proposed to determine how to allocate jobs and schedule tools with the objective of minimizing the makespan of processing plans in flexible manufacturing system. To expand the application range of max–min ant colony optimization algorithm, tool movement policy is selected as the running mode of flexible manufacturing system, which assumes that tools are shared among work centers and each operation is allowed to be machined by different kinds of tools. In the process of converting this scheduling problem into traveling salesman probl

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Liu, Shihao, Yanbin Du, and Mao Lin. "Study on lightweight structural optimization design system for gantry machine tool." Concurrent Engineering 27, no. 2 (2019): 170–85. http://dx.doi.org/10.1177/1063293x19832940.

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In order to improve the efficiency and effectiveness of the lightweight design of the gantry machine tool, a lightweight structural optimization design system for the gantry machine tool was constructed. Serialized gantry machine tools were parametrically modeled, and a load model with multiple operating conditions was established. A twice optimization design method integrating zero-order optimization, parameter rounding, and structural re-optimization was proposed. Using the proposed method, a lightweight structural optimization design system for gantry machine tool with parametric design, li

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Shimada, Takumi, and Haruhiko Suwa. "Optimization of Cutting Tool Allocation to Enhance Workload Balance and Total Completion Time in Parallel-Type FMS." International Journal of Automation Technology 15, no. 6 (2021): 804–12. http://dx.doi.org/10.20965/ijat.2021.p0804.

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This study aims to build a machine scheduling method that involves the cutting tool management in parallel-type flexible manufacturing systems. These systems consist of multi-axis CNC machine tools and are equipped with an automated tool changer and a large-capacity tool magazine. The target scheduling problem could be described as a multi-objective parallel scheduling problem. We consider the availability of cutting tools stored in the magazine as so-called “machine eligibility,” and propose a two-phase scheduling method for tool allocation and job sequencing on machines to minimize the workl

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Abdel-Malek, K., Z. Mi, J. Yang, and K. Nebel. "Optimization-Based Layout Design." Applied Bionics and Biomechanics 2, no. 3-4 (2005): 187–96. http://dx.doi.org/10.1155/2005/285756.

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The layout problem is of importance to ergonomists, vehicle/cockpit packaging engineers, designers of manufacturing assembly lines, designers concerned with the placement of levers, knobs, controls, etc. in the reachable workspace of a human, and also to users of digital human modeling code, where digital prototyping has become a valuable tool. This paper proposes a hybrid optimization method (gradient-based optimization and simulated annealing) to obtain the layout design. We implemented the proposed algorithm for a project at Oral-B Laboratories, where a manufacturing cell involves an operat

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Hatti, Santosh Kumar. "Efficient Resume Screening Tool." International Journal for Research in Applied Science and Engineering Technology 13, no. 1 (2025): 483–88. https://doi.org/10.22214/ijraset.2025.66307.

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The "Efficient Resume Screening Tool" employs Natural Language Processing (NLP) and Machine Learning (ML) to transform the traditional resume screening process. By automating the analysis of resumes, it identifies candidates best suited for specific job roles, significantly reducing the time and effort associated with manual screening while improving accuracy and consistency. The tool incorporates features such as skill categorization, web-based visualization, and automated report generation, catering to diverse recruitment needs. Using advanced NLP techniques, it extracts, analyzes, and ranks

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Banerjee, Pallab, Sharmistha Roy, Umar Muhammad Modibbo, et al. "OptiDJS+: A Next-Generation Enhanced Dynamic Johnson Sequencing Algorithm for Efficient Resource Scheduling in Distributed Overloading within Cloud Computing Environment." Electronics 12, no. 19 (2023): 4123. http://dx.doi.org/10.3390/electronics12194123.

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The continuously evolving world of cloud computing presents new challenges in resource allocation as dispersed systems struggle with overloaded conditions. In this regard, we introduce OptiDJS+, a cutting-edge enhanced dynamic Johnson sequencing algorithm made to successfully handle resource scheduling challenges in cloud computing settings. With a solid foundation in the dynamic Johnson sequencing algorithm, OptiDJS+ builds upon it to suit the demands of modern cloud infrastructures. OptiDJS+ makes use of sophisticated optimization algorithms, heuristic approaches, and adaptive mechanisms to

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Payne, T. A., J. A. Turner, K. Rijswijk, A. K. Mcdermott, and R. D. N. Wakelin. "Informing extension project design: the right tool for the job." NZGA: Research and Practice Series 16 (January 1, 2016): 33–38. http://dx.doi.org/10.33584/rps.16.2016.3257.

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Extension successfully creates change when projects are designed to fit the issue, opportunity, or technology to be implemented, the potential users, and the influences external to the farm team. To better understand when and why different approaches to extension succeed this study developed a typology of nine extension approaches. The nine approaches provide a framework to identify the right extension approaches that will drive sustainable productivity improvements for higher onfarm profitability. Factors that need to be understood when deciding which of the extension approaches is best suite

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Lending, Diane, and Norman L. Chervany. "Case Tool Use and Job Design: A Restrictiveness/Flexibility Explanation." Journal of Computer Information Systems 43, no. 1 (2002): 81–90. http://dx.doi.org/10.1080/08874417.2002.11647073.

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Chibane, Hicham, Sébastien Dubois, and Roland De Guio. "Innovation beyond optimization: Application to cutting tool design." Computers & Industrial Engineering 154 (April 2021): 107139. http://dx.doi.org/10.1016/j.cie.2021.107139.

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