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نتیجه جستجو - Manufacturing process

تعداد مقالات یافته شده: 44
ردیف عنوان نوع
1 Resource Allocation in Time Slotted Channel Hopping (TSCH) Networks Based on Phasic Policy Gradient Reinforcement Learning
تخصیص منابع در شبکه های گام کانال با شکاف زمانی (TSCH) بر اساس یادگیری تقویت گرادیان خط مشی فازی-2022
The concept of the Industrial Internet of Things (IIoT) is gaining prominence due to its lowcost solutions and improved productivity of manufacturing processes. To address the ultra-high reliability and ultra-low power communication requirements of IIoT networks, Time Slotted Channel Hopping (TSCH) behavioral mode has been introduced in IEEE 802.15.4e standard. Scheduling the packet transmissions in IIoT networks is a difficult task owing to the limited resources and dynamic topology. In IEEE 802.15.4e TSCH, the design of the schedule is open to implementation. In this paper, we propose a phasic policy gradient (PPG) based TSCH schedule learning algorithm. We construct the utility function that accounts for the throughput, and energy efficiency of the TSCH network. The proposed PPG based scheduling algorithm overcomes the drawbacks of totally distributed and totally centralized deep reinforcement learning-based scheduling algorithms by employing the actor–critic policy gradient method that learns the scheduling algorithm in two phases, namely policy phase and auxiliary phase. In this method, we show that the schedule converges quickly compared to any other actor–critic method and also improves the system throughput performance by 58% compared to the minimal scheduling function, a default TSCH schedule.
Keywords: Industrial internet of things | IEEE 802.15.4e | Time slotted channel hopping | Deep reinforcement learning | Actor–critic policy gradient methods | Phasic policy gradient
مقاله انگلیسی
2 Impact of ambidexterity of blockchain technology and social factors on new product development: A supply chain and Industry 4:0 perspective
تأثیر دوسویه فناوری بلاکچین و عوامل اجتماعی بر توسعه محصول جدید: زنجیره تامین و چشم انداز صنعت 4:0-2021
This study develops a technology and social capital process aided product innovation conceptual model based on dynamic capability and supply chain ambidexterity theory. The strategy of organizational ambidexterity unbalancing technological and relational social capital factors between buyers and suppliers leads to a higher level of digital manufacturing capabilities and enhances buyers’ innovation potential, considering the sustainable practices in their processes to cope with Industry 4.0 manufacturing processes and sustainability challenges. The study empirically validates the model using data collected from 379 French manufacturing companies. This is the first study that examines how buyers perceive the role of blockchain technology in exploring and exploiting innovation management in the Industry 4.0 era. The study advances understanding on the theory of ambidex-terity of supply chains in buyer–supplier relationships. The study results show the positive effect between internal integration and blockchain technology as well as relational social capital factors in buyer–supplier relationships. The findings underscore the critical role of relational and technological capital in buyer–supplier relationships, specifically to act as a catalyst for exploiting internal capabilities to achieve the innovation targets. The unique findings state blockchain technology mediation is dominant in exploiting the internal capabilities and benefits buyers’ innovation orientation.
Keywords: Buyer innovation | Blockchain technology | Supply chain ambidexterity | Relational capital | Industry 4.0 | Sustainability
مقاله انگلیسی
3 Simultaneous optimization of the design of the product, process, and supply chain for formulated product
بهینه سازی همزمان طراحی محصول ، فرآیند و زنجیره تامین برای محصول فرموله شده-2021
In this work, an integrated framework and a solution procedure are developed for the design of formulated products. The framework considers the design of the manufacturing process, the products, and supply chains simultaneously. The problem is a multi-period MINLP. A solution procedure consisting of two stages is developed. In stage 1, the model is initialized with the data provided by the market analysis and the optimal formulation for each product and for each location, individually. In stage 2, the model is optimized within the feasible region using the information from stage 1, and the amounts of raw material purchased from each supplier, product manufactured at each location, and product purchased by each customer are determined. The algorithm is used to evaluate the design of powder detergents in Europe. Together with the location of the facilities, product composition, suppliers and price policies are selected.
Keywords: Supply chain | Process and product design | Integrated problem | Formulated products
مقاله انگلیسی
4 A Machine Vision Based Automated Quality Control System for Product Dimensional Analysis
سیستم کنترل کیفیت خودکار مبتنی بر بینایی ماشین برای تجزیه و تحلیل ابعاد محصول-2021
Quality control (QC) in manufacturing processes is critical to ensuring consumers receive products with proper functionality and reliability. Faulty products can lead to additional costs for the manufacturer and damage trust in a brand. A growing trend in QC is the use of machine vision (MV) systems because of their noncontact inspection, high repeatability, and relatively low cost. This paper presents a robust MV system developed to perform comparative dimensional inspection on diversely shaped samples, including additive manufacturing products. The algorithm used performs dimensional inspection on a base product considered to have acceptable dimensions. The perimeter, area, rectangularity, and circularity of the base product are determined using blob analysis on a calibrated camera. These parameters are then used as the standard with which to judge additional products. Each product following is similarly inspected and compared to the base product parameters. A likeness score is calculated for each product, which provides a single value tracking all parameter differences. Finally, the likeness score is considered on whether it is within a threshold, and the product is considered to be acceptable or defective. The proposed MV system has achieved satisfactory results, as discussed in the results section, that would allow it to serve as a dependable and accurate QC inspection system in industrial settings.© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)Peer-review under responsibility of the scientific committee of the Complex Adaptive Systems Conference, June 2021.
Keywords: Machine Vision | Quality Control | Dimensional Analysis | Digital Quality | Rectangularity | Circularity | Production | Manufacturing
مقاله انگلیسی
5 Circular food supply chains – Impact on value addition and safety
زنجیره های تأمین مواد غذایی دایره ای - تأثیر بر ارزش افزوده و ایمنی-2021
Background: The “linear” manufacturing processes generate waste materials and products that after their use end up in landfills and incinerators. Circular supply chains implement one of the basic concepts of the bioeconomic, i. e., collecting waste streams in order to recycle them into new products, thus achieving a more sustainable production system. Scope and approach: This paper is focused on the application of a circular supply chain concept within the food system, with the aims to: a) outline the advantages of this approach in terms of value addition; b) discuss the impact of the increased complexity of circular supply chains on food safety; and c) propose management solutions. To link theoretical principles with empirical data, winemaking was chosen as a case study because of the high volumes of valuable byproducts produced globally. Key findings and conclusions: Circular food supply chains can potentially generate added-value foods. However, new loops in the food supply chains could also bring about new risks. The main challenges are likelihood of food contamination and loss of identification due to batch dispersion. Hence, a holistic approach of research is needed to integrate the value addition strategy with risk analysis and to apply forecasting and optimization studies to the whole supply chain. At the operational level, Internet of Things could represent a powerful management tool. Moreover, the management system within a circular supply chain should be conceived and implemented beyond the company level, involving all the trading partners in order to ensure high transparency, interconnectivity and thus efficacy.
Keywords: Circular supply chain | Value addition | Food safety | Risk analysis | Traceability
مقاله انگلیسی
6 The yield rate paradox in closed-loop supply chains
The yield rate paradox in closed-loop supply chains-2021
We investigate the dynamics of a closed-loop make-to-stock supply chain consisting of a remanufacturer and a manufacturer with a first-order vector auto-regressive demand and return process. Remanufactured products, considered as-good-as-new, partially satisfy market demand; newly manufactured products fill the remainder. The manufacturer and the remanufacturer cooperate to minimize the sum of the 1) capacity costs at the remanufacturing and manufacturing processes, 2) finished goods inventory holding and backlog cost, 3) cost to dispose of returned items not re-manufactured and 4) collection cost. The remanufacturer inspects returned products in a triage process. Only a predetermined fraction (the triage yield rate) of the returns are re- manufactured. We investigate the impact of the triage yield on the system-wide cost. In a cost-sensitive setting, when the unit cost of remanufacturing is lower than the unit cost of manufacturing, it seems reason- able to conjecture that higher triage yields lead to lower system-wide costs. We show the system-wide cost is always convex in the triage yield rate, suggesting system-wide costs could actually increase in the triage yield rate, even when the unit remanufacturing cost is lower than the manufacturing cost. This yield rate paradox originates from the increased yields creating additional variability in the manufacturing activities. By investi- gating boundary conditions we find the minimal disposal penalty required to entice the remanufacturer to process all returns.
Keywords: Supply chain management | Closed-loop supply chain | Vector auto-regressive process | Order-up-to policy
مقاله انگلیسی
7 Analyzing the effects of machining parameters on surface roughness of machined surfaces using vision system
تجزیه و تحلیل اثرات پارامترهای ماشینکاری بر زبری سطح سطوح ماشینکاری با استفاده از سیستم بینایی-2021
Surface roughness measurement of machined components helps in predicting the success or failure of component when it is put into service. Surface roughness measurement is also used to judge capability of manufacturing process. Surface roughness evaluation is also used for monitoring the condition of cutting tool or machine tool. Any change in process parameter or condition of the cutting tool results in changes in surface geometry and texture. Usually, the factors affecting the machining capability are its own inherent properties such as, feed, speed, depth of cut, tools, coolant flow rate etc. Relationship between stylus measured roughness and vision surface roughness (Ra) has been studied. As for as the knowledge of authors no research work has been reported about determining the effects of cutting parameters on surface roughness of milled components. In this context, the present research works assumes special significance. An attempt has been made in the current research work to explore the effect of cutting parameters on surface roughness of milled surfaces using vision system.© 2021 Elsevier Ltd. All rights reserved.
Keywords: Surface roughness | Vision system | Machine tool | Cutting tool | Machining parameters
مقاله انگلیسی
8 ساخت و جامعه - یک دانشجوی مقدماتی دوره مهندسی با مشارکت ساخت و علوم اجتماعی
سال انتشار: 2020 - تعداد صفحات فایل pdf انگلیسی: 10 - تعداد صفحات فایل doc فارسی: 38
برنامه درسی و آموزش مقدماتی دانشجوی دوره اول مهندسی در زمینه تولید و جامعه ارائه شده است. این دوره برای استفاده از پهپاد کوادکوپتر به عنوان نمونه برای آموزش دانش در فرایندها و سیستم های تولید ، نشان دادن تأثیرات بالقوه ساخت به جامعه و تحریک یادگیری در نوآوری ، کار گروهی و ارتباطات در یک محیط مهندسی دنیای واقعی وهمچنین برای یادگیری و نحوه نتیجه گیری بهتر دانش آموزان طراحی شده است. این دوره بر اساس دو پروژه تیمی ساخته شده است. دانشجویان مونتاژ یک هواپیمای بدون سرنشین پیشرفته ، DJI Spark را تمرین و زمان بندی کردند و یک ارائه پروژه میان مدت و گزارش برنامه خود را برای راه اندازی کارخانه مونتاژ در میشیگان برای این پهپاد ایجاد کردند. دانش آموزان طراحی خط مونتاژ ، تعادل زمان چرخه ، مطالعه زمان ، اتوماسیون ، رباتیک ، ارگونومی را انجام دادند. پروژه نهایی ، طراحی و ساخت پیوست به یک هواپیمای بدون سرنشین DJI F330 ، برای مأموریتی است که به نفع جامعه خواهد بود. دانش آموزان جنبه های اجتماعی ساخت ، طراحی به کمک رایانه ، ساخت مواد افزودنی ، مهارت های ساخت و فرایندهای ساخت را فرا گرفتند. هر تیم یک نیاز اجتماعی را شناسایی کرده ، ضمیمه ای را برای پهپاد DJI F330 ، با مهندسان باتجربه طراحی کرده ، قطعات ساخته شده ، پیوست را مونتاژ کرده و آنها را در پروازهای آزمایشی پهپاد ارزیابی کرده است. این دوره با همکاری نزدیک با یک کالج جامعه محلی برای به اشتراک گذاشتن سخنرانی و مواد آزمایشگاهی و همچنین آموزش در ساخت برای استفاده از همان گروه فارغ التحصیلان دبیرستان اجرا شد. این رویکرد علوم اجتماعی یکپارچه ، تولید ، و ارتباطات فنی برای آموزش ساخت با استفاده از هواپیماهای بدون سرنشین و ارتباط ساخت و جامعه نشان داده شده است که برای یک دوره مقدماتی مهندسی کارآمد است. دانشجویان مهندسی دوره اول اغلب در ترم اول خود تغییرات و فشار فوق العاده ای را تجربه می کنند. جلسه سخنرانی ، آزمایشگاه و بحث برای ارتباطات برای کمک به انتقال دانش آموزان در ترم اول مطالعه مهندسی تنظیم شد.
کلمات کلیدی: آموزش تولید | علوم اجتماعی | آموزش مبتنی بر نوآوری
مقاله ترجمه شده
9 Application of a fuzzy-logic based model for risk assessment in additive manufacturing r&d projects
استفاده از یک مدل مبتنی بر منطق فازی برای ارزیابی ریسک در پروژه های تحقیق و توسعه افزودنی-2020
Experts from industry and academics have highlighted Additive Manufacturing (AM) as a technology that is revolutionizing manufacturing. AM is a process that consists of creating a three-dimensional object by incorporating layers of a material such as metal or polymer. This research studies risks associated with AM R&D Project Management. A significant set of risks with a potential negative impact on project objectives in terms of scope, schedule, cost and quality are identified through an extensive literature review. These risks are assessed through a survey answered by ninety academics and professionals with noteworthy sector expertise. This process is made by the measurement of two parameters: likelihood of occurrence and impact on project objectives. According to the responses of the experts, the level of relevance of each risk is calculated, innovatively, through a fuzzy logic-based model, specifically developed for this study, implemented in MATLAB Fuzzy Logic Toolbox. The results of this study show that the risks “Defects occurring during the manufacturing process”, “Defective design”, “Poor communication in the project team” and “Insufficient financing” are determined as the most critical in AM R&D Project Management. The proposed model is presented as a powerful new tool for organizations and academics, to prioritize the risks that are more critical to develop appropriate response strategies to achieve the success of their projects.
Keywords: Additive Manufacturing | 3D printing | Risk Assessment | Project Management | Fuzzy Logic
مقاله انگلیسی
10 Using business process models for the specification of manufacturing operations
استفاده از مدل های فرآیند کسب و کار برای مشخصات عملیات تولید-2020
Business process management (BPM) is often employed as a driver of integration, by articulating business processes that cross the boundaries of individual business functions. Business process modelling as part of BPM has shown its potential in administrative environments, such as banking and insurance organizations. However, business process modelling remains unproven for all the processes encountered in manufacturing enterprises, including the physical operations processes that transform input materials into the required product. These processes have physical characteristics that make them essentially different from administrative processes with a highly digital nature, like limited physical buffers for intermediate products and transportation times between activities. In this paper, we present an approach to use business process models for the specification of these physical operations processes. Our approach is based on a catalogue of common process fragments that are adapted to the physical nature of manufacturing. These process fragments serve as reusable building blocks for the specification of manufacturing processes. We use the industry standard Business Process Model and Notation (BPMN) to represent both fragments and processes. We demonstrate the use of our catalogue of fragments by modelling and enacting the real-world processes of ten manufacturing organizations. The results show strong support for the use of business process models for both representation and enactment of manufacturing processes. This work closes part of the gap between the support for administrative processes and physical industrial processes, thus contributing to the advent of the smart manufacturing concept in the context of Industry 4.0.
Keywords: Manufacturing operations | Business process modelling | Cross-functional process management
مقاله انگلیسی
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