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ردیف | عنوان | نوع |
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61 |
Technical-knowledge-integrated material flow cost accounting model for energy reduction in industrial wastewater treatment
مدل حسابداری مواد مخدر فنی دانش فنی برای کاهش انرژی در درمان فاضلاب صنعتی-2021 A novel simulation model incorporating the concept of material flow cost accounting (MFCA) into a numerical
process simulator for wastewater treatment plants (WWTPs) was developed. Cost-related parameters, such as
electrical power consumption, were calculated for each unit process by referring to predetermined formulas of
design rules and technical knowledge built into the model. These calculated values were then assigned to the
outflow stream proportional to the flowrate, allowing each flow stream in the WWTP to be quantified according to
the history of assigned costs. This method increased the number of quantity centers in MFCA models regardless of
actual data availability, thus contributing complex flow configuration and flexible comparison of improvement
approaches related to financial evaluation. Energy cost allocation maps created by this model demonstrated the
benefits of anaerobic treatment in the WWTP of a soft-drink factory in Japan. Additionally in this WWTP, the
observed values of total power consumption were 40% higher than the simulated values, and improvement approaches, such as instrumental control of aeration, were evaluated for their feasibility and financial impact. These
results demonstrated the success of the model in adding and reinforcing analytical and predictive functions in the
MFCA survey method.
Keywords: Material flow cost accounting | Process simulation model | Industrial wastewater | Energy saving | Food and beverage industry |
مقاله انگلیسی |
62 |
Blood supply chain operation considering lifetime and transshipment under uncertain environment
عملکرد زنجیره تامین خون با توجه به طول عمر و انتقال مجدد در یک محیط نامشخص-2021 According to the characteristics of blood inventory control problem under the condition of blood shortage, the dynamic decision-making problem of blood supply chain is investigated in this paper. Firstly, based on the recursive equation, the state transition equations of two categories of blood demand under two inventory issue strategies (FIFO and LIFO) are given. The mathematical expressions of key indexes such as blood outdating and blood shortage are obtained. A blood collection decision- making method based on EWA (Estimated Withdrawal & Aging) strategy is proposed. Then, an optimal model of blood transshipment problem is established with the goal of the shortest transshipment time and the maximum freshness of the transported blood. In addition, an allocation planning model with multiple priority requirements and fairness concerns is established to achieve the best fairness and the minimum shortage. Besides, a discrete event system simulation (DESS) framework is designed according to the characteristics of the model. Finally, the effectiveness of the decision-making method and EWA inventory strategy are verified by numerical simulation. The results show that safety stock, target stock level and fluctuation range of demand have significant impacts on the control effect of blood inventory.© 2021 Elsevier B.V. All rights reserved. Keywords: Blood shortage | Blood collection | Blood allocation | Blood transshipment | Blood supply chain | Discrete event system simulation |
مقاله انگلیسی |
63 |
Vision-based finite-time uncooperative target tracking for UAV subject to actuator saturation
ردیابی هدف مبتنی بر چشم انداز زمان غیر تعاملی مبتنی بر دید برای پهپاد با اشباع محرک-2021 In this paper, a vision-based finite-time control is proposed for an unmanned aerial vehicle (UAV) subject to actuator saturation to track an uncooperative target. The finite-time control is designed within a backstepping-type framework, where states of the uncooperative target cannot be measured directly and are estimated by a monocular camera equipped on the UAV. It is proven that, with the given control, the UAV with actuator saturation is capable of reaching the target for a finite settling time. Based on available initial states, the finite settling time can be estimated a priori. The theoretical results are illustrated by a simulation example.© 2021 Elsevier Ltd. All rights reserved. Keywords: Finite-time control | Vision-based control | UAV | Actuator saturation systems |
مقاله انگلیسی |
64 |
Managing expert knowledge in water network expansion project implementation
مدیریت دانش تخصصی در اجرای پروژه توسعه شبکه آب-2021 The implementation of expansion projects of water networks supplying growing cities
is deemed to be a complex decision-making problem involving both technical aspects and expert
knowledge. Management and control processes must rely on experts in the field whose knowhow must be coupled with techniques able to deal with the natural subjectivity that affects
input evaluations. Given the presence of many decision-making elements, the choice of proper
hydraulic technical parameters may be linked to the main aspects of analysis requiring formal
expert evaluation. In this contribution, the simulation of hydraulic indicators is integrated with
a multi-criteria approach able to eventually determine those areas of a water network through
which organising the expansion may be more beneficial. The software EPAnet 2.0 is first used
for hydraulic simulations, whereas the Technique for Order of Preference by Similarity to Ideal
Solution (TOPSIS) will eventually rank network’s nodes. A case study is solved to demonstrate
the applicability and effectiveness of the proposed approach.
keywords: Complex Systems | Management and Control | Water Distribution Networks | Expansion Project | EPAne | software 2.0 | TOPSIS. |
مقاله انگلیسی |
65 |
Dynamic 3D image simulation of basketball movement based on embedded system and computer vision
شبیه سازی تصویر پویا سه بعدی حرکت بسکتبال بر اساس سیستم تعبیه شده و بینایی ماشین-2021 Traditional empirical basketball teaching methods can be repeated, affecting serious basketball training efficiency and the acquisition of technical essentials. Based on this problem, the basketball training reproduction framework is built utilizing augmented reality innovation. The framework sets up a virtual reenactment model ofa ballplayer planning a player’s track. Simultaneously, as a helping player, it captures the basketball player’sactual situation, compares them with the simulated trajectories, and provides more targeted training. Based on virtual reality-based Virtual Data Augmentation Technology (VDRT), basketball technology’s teaching mode allows players to acquire key points of sports skills and significantly improve basketball players’ training efficiency as soon as possible. With the quick improvement of current science and innovation, for example, center, science and innovation, and electronic data innovation, more educational activities are being applied. However, modern educational methods’ important content is to master and use modern educational equipment and processes. This article uses basic concepts, characteristics, and virtual reality techniques and literature and information methods to explain the types of role play in basketball lessons. Finally, it analyzes the application programs of basketball theory education, technical education, tactical instruction and educational competitions that provide scientific standards for future basketball education reform. Keywords: Basketball movement | virtual data reinforcement technique (VDRT) | Field Programmable Gate Array (FPGA) |
مقاله انگلیسی |
66 |
Sustainable and resilience planning for the supply chain of online hyperlocal grocery services
برنامه ریزی پایدار و انعطاف پذیر برای زنجیره تأمین خدمات مواد غذایی آنلاین بیش از حد محلی-2021 In an uncertain Supply Chain (SC) environment dealing with suppliers and transport-level
disruptions in addition to fulfilling customers’ requirements is a complex task. Such
challenges are more taxing in case of perishable products SCs. The concurrent effect of all
such events affects the economic stability of SC and impedes sustainability on a longer
planning horizon. The proposed study presents a case example of e-commerce based SC
addressing an operational and distribution planning problem. For this purpose, the study
simulates online grocery business operations by proposing a mixed-integer linear
programming problem to minimize SCs expected cost. It includes the costs of purchase,
transportation, supply-demand mismatch, and cost of economic loss due to the perishable
nature of the products. Computational analysis is performed to manifest the performance of
the proposed model considering the dataset of a hyperlocal distribution service. The study
evaluates the utility of resilience and sustainable strategies to minimize expected economic
costs and reduce environmental impacts by effectively managing waste. A backup strategy is
devised to promote a resilient SC planning to fight the risk of disruptions and operational
failures. Additionally, economic sustainability is achieved by implementing various
markdown policies and waste minimization strategies. A sensitivity analysis using MonteCarlo simulation is presented to recognize the impact of operational risk, demand uncertainty,
and perishability on the expected cost. Majorly, it contributes to the scant literature of
quantitative modeling for the production and distribution of food SC to promote resiliently
sustainable planning. Further, the resilient and sustainable strategies, procurement policies,
penalty assessment, and markdown due to perishability are some of the key contributions of
the study. The discussion provides plenty of opportunities to pursue future studies in
operational and distribution management of e-commerce SCs.
Keywords: supply chain | hyperlocal grocery business | perishable food | resilient policy | sustainability | uncertainty |
مقاله انگلیسی |
67 |
Matching-game approach for green technology investment strategies in a supply chain under environmental regulations
رویکرد بازی تطبیقی برای استراتژی های سرمایه گذاری فناوری سبز در یک زنجیره تأمین تحت مقررات زیست محیطی-2021 Facing increasingly severe environmental problems, green technology (GT) innovation has become an effective way to achieve the sustainable development of firms. Many manufacturers often choose and invest in appropriate GTs from GT-suppliers to improve the environmental impact of production. But others
abandon GTs because they are too expensive to invest in. This paper thereby studies the dynamic investment strategy of GT in a manufacturer-supplier supply chain and explores the optimal government
subsidy incentive and its impact on investment and sustainable production decisions. Firstly, an original
two-sided matching game model (including two-sided matching analysis and Nash equilibrium analysis)
is presented to study the matching process between a manufacturer with a limited investment budget
and a GT-supplier with GTs and to determine the optimal GT investment-production strategy. Then, a
government-manufacturer Stackelberg game model integrating differential game is constructed to determine the optimal government subsidy strategy and to investigate the effect of government subsidy on
investment-production decisions. The results show that stable matching between the manufacturer and
GT-supplier can be obtained. Numerical simulations verify the feasibility and rationality of the proposed
matching game mechanism and demonstrate that GT investment profit is higher than non-investment
profit, and subsidy profit is better than non-subsidy profit. The increase in the carbon price leads to an
increase in the GT investment intensity. The increase in the carbon price can cause an increase in product greenness and green demand. The contributions of this paper are in providing an infrastructure for
studying how managers can obtain the optimal GT investment-production strategy in the supply chain,
and how the government formulates the optimal subsidy strategy to stimulate managers’ GT innovation
behavior. Keywords: Two-sided matching | Game theory | Green technology investment | Government regulation | Sustainable supply chain |
مقاله انگلیسی |
68 |
یک مدل برای شبیهسازی و طرحریزی پویای مسیر تعویض باند مبتنی بر تابع پارامتری جدید
سال انتشار: 2021 - تعداد صفحات فایل pdf انگلیسی: 16 - تعداد صفحات فایل doc فارسی: 22 مسألهی تعویض باند (LC) میتواند موجب تصادفات شدید شده و ترافیک آزاردهندهای را در جادههای چندبانده ایجاد نماید. مدل موجود برای شبیهسازی LC با یک سری محدودیتها (انطباق کم، فقدان مشخصههای سرعت و شتاب، انحنای زیاد) با استفاده از منحنی مسیرهای شناختهشدهای همچون منحنی مماس هایپربولیک (HTC)، منحنی مبتنی بر سینوس (SC)، و منحنی چندجملهای (PC) ایجاد شد. در این مقاله، یک منحنی پارامتری جدید با استفاده از دستگاه مختصات خمیدهخطی ارائه و با پایگاه دادهی واقعی شبیهسازی نسل آتی (NGSIM) انطباق داده شد. سپس مشخصههای جدید سرعت و شتاب با استفاده از منحنی مسیر LC پیشنهاد شدند. انحنای مدل پیشنهادی در هر دو نقطهی آغاز و پایان LC، انحنای مبتنی بر صفر بود. این انحنای پیشنهادی با دو مدل همانند HTC و SC مقایسه شد. خطای متوسط جذر میانگین مربعات مدل پیشنهادی در مقایسه با مدل HTC، برای LC چپ به میزان 1.84% و برای LC راست به میزان 15.48% و در مقایسه با مدل SC به میزان 1.74% برای LC چپ و به میزان 15.60% برای LC راست کاهش مییابد. بطور مشابه، مدل پیشنهادی برای مشخصههای سرعت و شتاب نسبت به مدل PC تا حد زیادی بهبود مییابد. منحنی پارامتری پیشنهادی، نقاط فاصله و برخورد خودروی LC با یک خودروی جلویی و خودروی پشتی در باند هدف را حل میکند و میتوان از آن در برنامهریزی مسیر LC واقعی استفاده کرد.
کلیدواژه ها: مشخصههای شتاب | منحنی پارامتری | سرعت | برنامهریزی مسیر |
مقاله ترجمه شده |
69 |
Heat recovery in an actual LNG supply chain: Retrofitting of designed heat exchange networks (HENs) for potential fuel saving
بازیابی گرما در یک زنجیره تامین LNG واقعی: مقاوم سازی مجدد شبکه های تبادل گرما (HENs) برای صرفه جویی احتمالی در سوخت-2021 The demand for liquefied natural gas (LNG) is steadily increasing and projected to become an important component of global energy demand. Although LNG processing requires high-energy to convert the gas into liquid, it is still the most preferable method of supply due to technical, economic, safety, and political reasons. Energy integration strategies and process optimization between units have been emphasized as ways to reduce energy demand. In this study, a rigorous simulation for proposed heat exchanger networks (HENs) between sulfur recovery units (SRU) and gas sweetening units (GSU) that exhibit heat sources and sinks was conducted. The HENs were designed using pinch analysis tools in Aspen Energy Analyzer (AEA) and were used to determine the maximum energy recovery and potential fuel savings after retrofitting within LNG supply chain. The feasibility of retrofitting the HENs into LNG plant without affecting process conditions or product quality was also determined. Although universal HEN reduces energy consumption of the existing plant by 68%, the network complexity limits its practical application. Simplified HENs between the sub-units reduced energy demand by 50% and achieved fuel saving of 34%. Retrofitting HENs improved existing LNG energy integration, enhanced process economy, reduced fossil fuel burning and protected the environment. Keywords: Supply chain management | Risk management | Policy matrix |
مقاله انگلیسی |
70 |
Redesigning immunization supply chains: Results from three country analyses
طراحی مجدد زنجیره های تأمین ایمن سازی: نتایج حاصل از سه تحلیل کشور-2021 The demand for liquefied natural gas (LNG) is steadily increasing and projected to become an important
component of global energy demand. Although LNG processing requires high-energy to convert the gas into
liquid, it is still the most preferable method of supply due to technical, economic, safety, and political reasons.
Energy integration strategies and process optimization between units have been emphasized as ways to reduce
energy demand. In this study, a rigorous simulation for proposed heat exchanger networks (HENs) between
sulfur recovery units (SRU) and gas sweetening units (GSU) that exhibit heat sources and sinks was conducted.
The HENs were designed using pinch analysis tools in Aspen Energy Analyzer (AEA) and were used to determine
the maximum energy recovery and potential fuel savings after retrofitting within LNG supply chain. The feasibility of retrofitting the HENs into LNG plant without affecting process conditions or product quality was also
determined. Although universal HEN reduces energy consumption of the existing plant by 68%, the network
complexity limits its practical application. Simplified HENs between the sub-units reduced energy demand by
50% and achieved fuel saving of 34%. Retrofitting HENs improved existing LNG energy integration, enhanced
process economy, reduced fossil fuel burning and protected the environment. Keywords: Natural gas | Retrofitting design | Heat exchange networks (HENs) | Process optimization | Heat recovery |
مقاله انگلیسی |