In cash的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列股價、配息、目標價等股票新聞資訊

Model-Based Optimization for Petroleum Refinery Configuration Design

為了解決In cash的問題，作者Khor, Cheng Seong 這樣論述：

An accessible, easy-to-read introduction to the methods of mixed-integer optimization, with practical applications, real-world operational data, and case studiesInterest in model-based approaches for optimizing the design of petroleum refineries has increased throughout the industry in recent yea

rs. Mathematical optimization based on mixed-integer programming has brought about the superstructure optimization method for synthesizing petroleum refinery configurations from multiple topological alternatives. Model-Based Optimization for Petroleum Refinery Configuration Design presents a detaile

d introduction to the use of mathematical optimization to solve both linear and nonlinear problems in the refining industry. The book opens with an overview of petroleum refining processes, basic concepts in mathematical programming, and applications of mathematical programming for refinery optimiza

tion. Subsequent chapters address superstructure representations of topological alternatives, mathematical formulation, solution strategies, and various modeling frameworks. Practical case studies demonstrate refinery configuration design, refinery retrofitting, and real-world issues and considerati

ons. Presents linear, nonlinear, and mixed-integer programming approaches applicable to both new and existing petroleum refineriesHighlights the benefits of model-based solutions to refinery configuration design problemsFeatures detailed case studies of the development and implementation of optimiza

tion modelsDiscusses economic considerations of heavy oil processing, including cash flow analysis of refinery costs and return on capitalIncludes numerical examples based on real-world operational data and various commercial technologiesModel-Based Optimization for Petroleum Refinery Configuration

Design is an invaluable resource for researchers, chemical engineers, process and energy engineers, other refining professionals, and advanced chemical engineering students.

In cash進入發燒排行的影片

區塊鏈技術在台灣二手車市場應用之實證研究

為了解決In cash的問題，作者蘇祐 這樣論述：

近年來的二手車市場交易量皆比新車市場高的多，且每年逐漸上升，此市場日益壯大，價格機制卻還是相當混亂，相當不透明，故此本研究以改善台灣二手車市場資訊不對稱問題為發想，設計一套網頁系統，以以太坊區塊鏈為系統底層，且成立一個二手車聯盟來管理該系統，有意願加入此系統的車主需將車輛移至與聯盟配合之檢修場，在確認資料無誤後，聯盟會將該車輛的資料上傳至區塊鏈系統上，以供系統參與者查閱。 本研究透過設計區塊鏈系統進行實作實驗，依據區塊鏈的不可篡改性來用以改善台灣二手車市場資訊不對稱問題，並使用Node.js SDK工具提供網頁客戶端，模擬車輛資料上傳的流程，最後提出三項實驗數據以檢驗新的系統架構設計適確性

，以及檢驗資料的正確性。實驗結果顯示，本研究所提出之二手車區塊鏈系統確實可改善二手車市場資訊不對稱的問題，藉由區塊鏈的不可篡改性，讓資料上傳後就無法修改，就算覆蓋過去鏈上也都能查到相對的紀錄，確保鏈上資料的正確性，讓其餘參與者在系統上查閱時，能夠信任這份資料，進一步改善過去消費者只能以車主所提供之資料作為參考，讓二手車市場資訊更加透明，進一步提高消費者對市場的滿意度及忠誠度。

Cash Flow Lifestyle: 8 Steps to Financial Freedom

為了解決In cash的問題，作者Kiyosaki, Robert T./ Caniglia, Shane 這樣論述：

Cash Flow Lifestyle takes us back to Robert's early journey on the road to financial freedom and his mentoring by his rich dad. This book shares many of the secrets of the rich, secrets related to how to tell the difference between advisors and salespeople, how to separate fact from opinion, how

to gain confidence related to decisions about money and investing, and how and why the rules of money have changed. These secrets form the eight building blocks to wealth that Robert and his rich dad explore in Cash Flow Lifestyle, written in the classic Rich Dad Poor Dad style of stories and contra

rian thought. To explore and uncover these secrets even further, Shane Caniglia -- entrepreneur and president of The Rich Dad Company -- expounds on the building blocks by showing how they have actually been implemented to make Rich Dad a thriving, innovative business and a powerful international br

and.

會員制無人商店的精準行銷之研究

為了解決In cash的問題，作者陳建仁 這樣論述：

科技的進步，並且網路的發展日漸與生活結合在一起，再加上行動裝置的普及等條件，促使人們在消費行為已陸續的將以往在實體營業據點且高度仰賴現金的模式開始移轉到無實體或無接觸的消費場域。2020起COVID-19疫情的肆虐下更加速改變人們的消費習慣，從禁止外出到能不外出就不外出，避免遭受疫情的感染，人們以減少對陌生人接觸的原則改變了原有的生活模式。因此推動了網路電商的第二次發展再起、以及外送平台的竄出。透過無實體或零接觸方式的消費比重在未來的消費比重可望持續提升，店家除了要把產品上架在上述通路外已是必然，但上架只是增加銷售的曝光度，真正的重點是如何主動出擊?讓消費者前來進行銷費。會員制的消費規則建立

目的起初除是為了能有較為穩定的會員消費者，如今可透過蒐集會員的消費紀錄，累積成有用的大數據，提供店家進行大數據的分析，讓其能夠善用執行行銷時的主要指引。透過分析資料，了解顧客的消費喜好、消費頻率、消費習慣，用於商家在進行行銷策略的主軸，以發現潛在的目標客戶，主動的提供/發送行銷資訊，將更有效率的達到提升營收的目的，以及避免過多無效的行銷成本的投放，減降營業費用以達到企業經營獲利目標。