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1 |
Sustainable closed-loop supply chain for dairy industry with robust and heuristic optimization
زنجیره تامین حلقه بسته پایدار برای صنایع لبنی با بهینه سازی قوی و ابتکاری-2021 This paper supplements the augmented ε-constraint approach with linearization using robust optimization and heuristics with an improved algorithm to maximize the total profit and minimize the environmental effects of a sustainable closed-loop supply chain (CLSC) in the dairy industry. The resultant mixed-integer linear programming (MILP) model is applied to a case from the dairy industry and evaluated against several test problems. The pessimistic, optimistic, and worst-case scenarios are considered along with the sensitivity analysis on the profitability of the CLSC concerning the product lifetimes. Our results inform that applying the heuristic on large- scale problems yields a 25% improvement in runtime. Furthermore, products with a longer lifetime under the worst-case scenario yield greater profit than those products with a shorter lifetime under an optimistic scenario. Keywords: Robust optimization | Closed-loop supply chain | Augmented ε-constraint | Diary |
مقاله انگلیسی |
2 |
پردازش فاضلاب لبنی و کنترل خودکار بازیافت زباله در تصفیه خانه فاضلاب شهری براساس بررسیهای مدلسازی
سال انتشار: 2021 - تعداد صفحات فایل pdf انگلیسی: 9 - تعداد صفحات فایل doc فارسی: 30 براساس مدل کالیبره شده برای یک تصفیهخانه فاضلاب شهری بی هوازی - آنوکسیک - هوازی (A2O) (WWTP)، این تحقیق راهحلهای عملی، تنظیمات سیستم کنترل و شرایط عملیاتی بهینه برای پردازش فاضلاب لبنی را بررسی و پیشنهاد کرد. مطالعه حالت پایدار در مورد افزودن مقادیر مختلف روزانه فاضلاب لبنی در خط آب WWTP نشان داد که با یافتن حداقل غلظت نیتروژن کل در پساب آب، موثرترین مقدار باید تصفیه شود. بررسیهای پویا در مورد افزودن مقادیر مختلف فاضلاب روزانه، انگیزههای پیکربندی سیستم کنترل آبشاری پیشنهادی را براساس کنترل غلظت آمونیاک یا نیترات در راکتورهای هوادهی شده، مرتبط با نیترات و کنترل غلظت نیتریت در رآکتور بیهوازی نشان داد. بهترین دورههای زمانی و طول مدت برای برنامه ریزی پردازش فاضلاب لبنی جستجو و یافت شد. نتایج اولیه انگیزههای توزیع اضافی فاضلاب لبنی را در طول ۲ ساعت، در بالاترین لحظات غلظت ورودی نشان داد. تحقیقات بیشتر، با تکیهبر روش بهینهسازی الگوریتم ژنتیک، نشان داد که برنامهریزی روزانه بهتر برای افزودن فاضلاب لبنی ممکن است به دست آید. در مقایسه با عملیات عادی، برنامه زمانبندی بهینه تصفیه فاضلاب لبنی بهبود شاخص عملکرد کلی ۱۳.۳۶ % را در زمانی که روزانه 1:52p.m بود، نشان داد. سپس با استفاده از روش بهینهسازی، زمان و طول مدت یک ساعت برنامه مورد استفاده قرار گرفت. نتایج انگیزههای دوگانه یا دوچندان بازیابی کربن و مواد مغذی، مرتبط با مزایای انرژی و کیفیت پساب در عملیات WWTP را نشان میدهد.
کلمات کلیدی: تصفیه فاضلاب | فاضلاب صنایع لبنی | مدلسازی | بازیابی کربن و مواد مغذی | برنامه زمانبندی بهینه |
مقاله ترجمه شده |
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Determinants of the competitive advantage of dairy supply chains: Evidence from the Chinese dairy industry
عوامل تعیین کننده مزیت رقابتی در زنجیره های تامین فراورده های لبنی: شواهدی از صنعت لبنی چینی-2019 In this study, we use an evidence-based approach to examine the factors that determine the competitive advantage
of dairy supply chains using evidence from the Chinese dairy industry. We focus on the quality assurance of dairy
products, which is considered one of the fundamental influential factors. We investigate interrelationships among
the identified determinants, which include dairy production behavior, dairy cow culture model, government
regulations, corporate social responsibility, and quality assurance, and examine how these determinants influence
the competitive advantage of dairy supply chains. We employ the structural equation modeling approach in which
grouped observable variables that represent the identified determinants are extrapolated from primary data
collected through a questionnaire survey. Our key findings show that by mediating the effects of dairy production
behavior and the dairy cow culture model, government regulation and corporate social responsibility significantly
affect the quality assurance of dairy products. In turn, dairy production behavior and the dairy cow culture model
significantly affect the competitive advantage of the dairy supply chain via the fully mediated effects of the quality
assurance of dairy products. Specifically, the dairy cow culture model helps ensure the safety and quality of milk
supply, allowing core dairy firms to control product quality throughout the dairy supply chain. Our empirical
study shows that the identified determinants interact to assure the quality of dairy products and enhance the
competitive advantage of the dairy supply chain in China. Keywords: Dairy | Supply chain | Competitive advantage | Quality assurance | Structural equation model |
مقاله انگلیسی |
4 |
Cytometric fingerprinting and machine learning (CFML): A novel label-free, objective method for routine mastitis screening
اثر انگشت سیتومتریک و یادگیری ماشین (CFML): روشی عاری از برچسب ، عینی برای غربالگری معمول ورم پستان-2019 Bovine mastitis costs the US dairy industry $2 billion, an average of $200 per cow annually. Mastitis is currently
diagnosed based on macroscopic alteration of milk or with a somatic cells count (SCC), which are non-specific
markers of infection. Cows that have milk samples with no macroscopic alteration (i.e. clots) with more than
200,000 SCC per mL are classified as experiencing subclinical mastitis. Here, we demonstrate a novel cytometric
fingerprinting and machine learning (CFML) toolchain as a label-free, objective, high-throughput microbiological
milk quality evaluation method for routine mastitis screening. Milk samples were collected from each
quarter of the udder from paired 20 milking Holstein cows. Cytometric fingerprints were immediately obtained
along with simultaneous pathological analysis. Cytometric fingerprints largely resembled SCC and unique somatic
cytometric fingerprints were observed in response to bacterial pathogens distinct from algal and fungal. To
demonstrate applications of machine learning in reducing human intervention in future on-farm automated
mastitis screening systems, we trained multiple machine learning models on cytometric fingerprints. Tested
classifiers were found to be efficient, scalable and robust in classifying specific pathogen, identifying the lactation
stage and pathogen intensity with 99.27%, 100%, and 100% accuracies respectively. Our findings indicate
that CFML is sensitive to milk samples from cows experiencing subclinical mastitis spanning distinct types and
levels of infections. The use of CFML is hence recommended for rapid, high-throughput mastitis typing. This
would assist in the use of data-driven monitoring approaches leading to proper and judicious use of antibiotics in
animal agriculture. Keywords: Milk | Mastitis | Dairy cattle | Flow cytometry | Machine learning |
مقاله انگلیسی |
5 |
Selecting new product designs and processing technologies under uncertainty: Two-stage stochastic model and application to a food supply chain
انتخاب طراحی های جدید محصول و فناوری های فرآوری تحت عدم قطعیت: مدل تصادفی دو مرحله ای و کاربرد برای یک زنجیره تامین غذا-2018 New product introduction frequently requires new processing technologies, and the development of new processing technologies also allows for the introduction of new products. An assessment of these new products and technologies must account for changes in the whole supply chain. This paper presents a two-stage stochastic mixed integer linear programming model that integrates the selection of new product designs and processing technologies in a supply chain context. Special attention is given to the demand uncertainties with regard to product specifications and volumes. The first stage of the model selects the processing technologies that determine the set of feasible product designs, leaving the detailed product designs and the production volumes as recourse actions to the second stage. We apply the developed approach to product designs and processing technologies in the dairy sector. Here, the substitution of milk powders through milk concentrates is currently being considered, which may lead to extensive energy savings in production. In an interdisciplinary effort, we first derive the design space encompassing the feasible dairy technologies and product designs for concentrates. Through numerical investigation we then show that flexible technologies are selected that can be used to produce different product designs. We also show that the selection of technologies is highly dependent on the uncertain demand characteristics of the new concentrate products.
keywords: Product design |Technology selection |Supply chain |Dairy industry |Two-stage stochastic programming |
مقاله انگلیسی |
6 |
Impact of shelf life on the trade-off between economic and environmental objectives: A dairy case
تاثیر عمر طاقچه ای روی سبک و سنگین کردن بین اهداف اقتصادی و محیطی: یک مورد لبنیاتی-2018 Food manufacturers introduce more environmentally friendly processes to account for increasing sustainability concerns. However, these processes often go along with a reduction of product shelf life, limiting the delay of sales to future periods with higher prices. We develop a framework to analyze the impact of shelf life on the trade-off between economic and environmental performance of two types of dairy products. Since the differences in shelf life have their key impact at the tactical planning level, we develop an optimization model for this aggregation level. Its objectives reflect profit and relevant environmental indicators. A rolling horizon scheme is used to deal with price uncertainty, using Eurex futures as price predictors. Our framework uses these tactical planning results for strategic decisions on product and process selection. A real-life case study contrasts traditional milk powders against novel milk concentrates. Concentrates require less energy in processing, but have a shorter shelf life. Results show that powders offer a potential profit benefit of up to 34.5%. However, this economic value of shelf life is subject to a priori perfect price knowledge. If futures are used as price predictors, the value of shelf life is reduced to only 1.1%. The economic value of shelf life is therefore not a strong argument against the substitution of powders with more environmentally friendly concentrates. We also show that two objectives, profit and eutrophication potential, are sufficient to capture trade-offs in the case. Several product mixes are determined that omit powders and perform well with regard to profit and environment.
keywords: Perishability |Sustainability |Multi-objective optimization |Objective reduction |Dairy industry |
مقاله انگلیسی |
7 |
كشف و بهره برداري از فرصتها در صنعت لبنيات
سال انتشار: 2015 - تعداد صفحات فایل pdf انگلیسی: 17 - تعداد صفحات فایل doc فارسی: 24 اين تحقيق از رويكردي اكتشافي به منظور مشاهده و جستجوي فرايند كشف فرصتهاي تجاري و آنچه كه شركتها در صنعت لبنيات انجام ميدهند تا نوآورتر شوند، استفاده ميكند. دادهها از طريق ابزارهاي كيفي، شامل پرسشنامهاي نيمه ساختهيافته از طريق مصاحبههاي جامع با توليدكنندگان لبنيات از Saskatchewan در كانادا و Aguascalientes در مكزيك، جمعآوري شدهاند. چنين جمعآوري دادههاي اين تحقيق را با بينش خاصي در خصوص چگونگي كشف فرصت و فرايندي آن، مواجه ميكند. همچنين نشان ميدهد كه كدام شيوههاي مديريتي باعث تعديل كشف و بهرهبرداي موفقيتآميز از فرصتهاي كسب و كار در صنعت لبنيات ميشود.
کلمات کلیدی: فرايندها | كشف فرصتها | نوآوري | شيوههاي مديريتي. |
مقاله ترجمه شده |