线形规划法在我国医药经销商遴选中的应用

目的 本文运用线性规划的方法对我国经销商遴选问题进行优化设计，实现在既定约束下，将利润最大化、方法线性规划法、比较静态分析，结果运用线性规划的遴选方法优于传统的单目标决策方法。     

炼厂用氢的低成本战略探讨

我国炼厂现在已越来越认识到加强氢气管理,优化氢气利用和降低氢气成本的重要性。从炼厂氧气资源和氧气成本、炼厂常规制氧、理论产氧量和制氢原料优化、炼厂废氢回收技术、炼厂氢气的优化利用和管理等方面进行了讨论,并通过案例分析来说明其现实性。     

制氢装置对重整加氢车间的影响及优化方案

工业革命以来,传统的化石燃料能源的储藏数量日益枯竭,同时,由于大量使用,温室气体浓度迅速上升,导致了明显的气候变化,引发了一系列资源与环境问题。氢能一起储藏丰富、高效清洁、运输简易的特点逐渐受人青睐,并成为21世纪的新型能源,因此制氢装置也逐渐普遍,但是氢气通过于嘉庆反应器后,压降会逐渐升高,对重整加氢车间造成一定的不良影响,本文重点介绍了制氢装置的作用和对重整加氢车间的影响及优化方案,致力于更好的使用氢能。     

煤及天然气两种制氢路线的比较

对煤及天然气两种制氢路线进行了技术和经济比较,就影响制氢成本的两个主要因素制氢规模和原料成本分别进行了分析.结合实例计算结果,指出在大规模制氢的条件下煤气化制氢路线在氢气的成本和原料的来源上具有很强的竞争力.     

企业级精确PIMS的建模与应用

1．PIMS在企业的应用现状 我国线性规划LP（Linear Programming）优化技术应用于炼油生产计划编制和优化始于八十年代初期，由石科院和一些企业进行合作开发模型和应用。在八十年代初期到九十年代中期。线性规划在炼油生产计划优化的应用随着计算机技术的飞速发展而不断成熟，特别是国外的LP软件在建模技术上取得了较大的突破，使得LP软件在炼油生产计划优化的应用真正达到了实用的阶段。     

水利工程工期费用优化中最优工期计算的线性规划法

建立了水利工程工期-费用优化中最优工期计算的线性规划法模型,结合实例采用Excel中的规划求解功能进行了计算,并与传统的循环推导方法进行了对比分析。计算结果表明该方法可行,且计算简单,避免了繁琐的推导计算,便于应用。     

环氧氯丙烷装置优化运行的实践

本文针对齐鲁石化公司环氧氯丙烷装置运行中存在的一系列问题,通过改进工艺流程,研究合理的参数指标,优化装置设备等措施,确保了环氧氯丙烷装置的长周期运行。     

齐鲁石化：优化产业布局走出特色发展路

<正>9月19日,秋高气爽,蔚蓝的天空下,一辆辆装载液态二氧化碳的运输车缓缓驶出齐鲁石化第二化肥厂厂区,送往胜利油田位于高青的注气站。2021年7月,中国石化启动建设我国首个百万吨级CCUS（碳捕集、利用与封存）项目——齐鲁石化-胜利油田CCUS项目。齐鲁石化煤制氢装置产生的二氧化碳经捕集提纯后,被送到胜利油田用于驱油,并封存地下。首个百万吨级CCUS项目的建成是齐鲁石化优化产业布局、实施绿色低碳发展战略的一个缩影。     

制氢PSA环保优化方案

近几年来在运用PSA时经常会出现由于氢气收率低脱附气量大而导致环保不达标的问题，在环保问题日益受到重视的背景下，企业迫切需要解决此类问题。介绍提高氢气收率降低脱附气保证环保达标问题的必要性，分析PSA系统的相关理论及解决氢气收率并降低脱附气的问题。PSA优化的目的是，提高氢气产品收率、减少脱附气量并达到环保需求。     

甲醇制氢在线还原技术的开发及应用

以甲醇和脱盐水为原料,用Cu系催化剂进行连续性的工业化生产氢气过程中,最重要的就是产品纯度的控制,从而达到最终产品的质量合格,并且要尽可能降低原料的消耗。文章主要讨论了甲醇裂解制氢在线还原催化剂工艺及控制。     

扬子石化利用尾气提纯氢气的经济可行性分析

扬子石化公司对氢气的需求量不断增加，拟建一套利用尾气提纯氢气的装置来填补缺口，为此对扬子石化公司利用尾气提纯项目进行成本，盈利能力及不确定性分析，研究项目的经济可行性。     

DS18B20与单片机的接口及编程技术

介绍了DS18B20的性能、内部结构及优越性,并详述了单线数字温度传感器DS18B20与单片机的接口技术以及在温度测量中的硬件和软件设计,最后以一个程序实例进行了说明。     

可化为单约束的线性规划问题

本文主要讨论可以化为单约束的多约束线性规划问题。对于这类问题,在寻求较简单解法时提出了主约束概念和判别主约束的方法,并探讨了此法在化简其它一些线性规划问题方面的应用。     

A DC programming heuristic applied to the logistics network design problem

This paper proposes a new heuristic method for the logistics network design and planning problem based on linear relaxation and DC (difference of convex functions) programming. We consider a multi-period, multi-echelon, multi-commodity and multi-product problem defined as a large scale mixed integer linear programming (MILP) model. The method is experimented on data sets of various size. The numerical results validate the efficiency of the heuristic for instances with up to several dozens facilities, 18 products and 270 retailers.     

Fuzzy logic in manufacturing: A review of literature and a specialized application

Manufacturing decisions inherently face uncertainties and imprecision. Fuzzy logic, and tools based on fuzzy logic, allow for the inclusion of uncertainties and imperfect information in decision making models, making them well suited for manufacturing decisions. In this study, we first review the progression in the use of fuzzy tools in tackling different manufacturing issues during the past two decades. We then apply fuzzy linear programming to a less emphasized, but important issue in manufacturing, namely that of product mix prioritization. The proposed algorithm, based on linear programming with fuzzy constraints and integer variables, provides several advantages to existing algorithm as it carries increased ease in understanding, in use, and provides flexibility in its application.     

An R & D planning and control servosystem: A case study*

This paper describes a planning and control system (PACS) to aid R & D decision-making which has been developed and used at the Monsanto Company, St. Louis, Missouri, U.S.A. The planning model portion of the integrated system is a two-dimensional dynamic programming resource allocation algorithm which performs project selection, budgeting and scheduling. Behavioral parameters that can be used to simulate certain organizational factors are included in the planning model. The control model portion of the integrated system develops cost-effectiveness measures of variances between actual and planned performances for ongoing projects over time, which provide early warnings of pending project failures and guide control action. Applications of the system at Monsanto indicate that it significantly aids the development of satisfactory organizational decisions and also provides a laboratory for pretesting decisions.     

Linear programming for bank portfolio management in Singapore

James Tobin's portfolio theory can be applied to bank portfolio management in that a bank would maximise the rates of return of its portfolio of assets, subject to the expected degree of risk and liquidity. Chambers and Charnes (1961), Cohen and Hammer (1967), Booth and Dash (1979) and others apply the linear programming model to the management of bank funds. This paper carries out a linear programming analysis on the consolidated balance sheets of commercial banks in Singapore for the period 1978–1983. The results show that by and large banks do try to maximise the returns of their portfolio, subject to legal, policy, bounding and total asset constraints, which denote riskiness and liquidity of the portfolio of assets. In a direct way, banks conform to the portfolio choice theory; they have to balance yield and liquidity against security. Although the computer cannot replace a manager, linear programming can serve as a useful guide.Dr Lee Sheng-Yi is an Associate Professor (retired) in the National University of Singapore and a Visiting Senior Research Fellow in Chung Hua Institution for Economic Research, Taipei; and Dr Yeong Wee Yong is a Senior Lecturer, School of Management Faculty of Business Administration, National University of Singapore.     

Duality Results for Discrete Capital Budgeting Models

The application of linear and non-linear programming duality theory to capital budgeting models had resulted in the identification of various properties of optimal solutions and has provided economic interpretations of the models. This paper illustrates that similar results may be obtained for discrete capital budgeting models by applying recent advances in duality theory for integer programming problems (1), (2), and (3).In addition, a dual solution method is developed that permits a degree of decentralization of a firm's capital budgeting decision.     

Optimal Farm-to-Market Transportation and Storage of Certain Agriculture Commodities: Bogota,Colombia ∗

Decision rules for the make-buy decision most often assume the form of single-item, incremental cost rules which, for application, require decisions to be made for each item in isolation from all others. While it has been recognized that such decision rules may be non-optimal in situations where equipment capacity limits exist, the literature has not considered other cases where non-optimality arises. The purpose of this paper is to use linear programming as a framework for evaluating the optimality of single-item, incremental cost rules. The major conclusion of this paper is that the presence of any type of binding constraint in the planning problem, regardless of its origin, renders a single-item decision rule potentially non-optimal. A set of optimal screening decision rules is developed to be used in conjunction with a linear programming model for make-buy decisions in cases where such binding constraints exist.