Ind. Eng. Chem. Res. 2010, 49, 8657–8669 8657 Single-Stage Scheduling of Multiproduct Batch Plants: An Edible-Oil Deodorizer Case Study Songsong Liu,† Jose M. Pinto,‡ and Lazaros G. Papageorgiou*,† Centre for Process Systems Engineering, Department of Chemical Engineering, UniVersity College London, Torrington Place, London WC1E 7JE, U.K., and Process Systems R&D, Praxair Inc., 39 Old Ridgebury Rad, Danbury, Connecticut 06810 This article considers the short-term scheduling of a single-stage
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A MULTI-STAKEHOLDER INDUSTRIAL PROJECTS SELECTION: AN ANALYTIC HIERARCHY PROCESS AND ZERO-ONE-GOAL PROGRAMMING APPROACH Salah R. Agha School of Industrial Engineering, Faculty of Engineering, Islamic University-Gaza, Gaza Strip, Phone: 970-599-746-533, aghasr@yahoo.com ABSTRACT This study uses Analytic Hierarchy Process (AHP) and Zero-One Goal Programming(ZOGP) to select the most favorable industrial projects from the viewpoints of three stakeholders, namely, govern mental, consultants and
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Principles Data Communications and Networks Analytical Methods for Engineers Engineering Science Telecommunication Principles Advanced Mathematics for Engineering Electrical and Electronic Principles Business Management Techniques for Engineers Computer Programming Techniques Radio Communication Engineering Electronic Principles Principles and Applications of Microcontrollers Digital and Analogue Devices and Circuits Management of Projects Project Design, Implementation and Evaluation Personal and Professional
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Analysis The goal of "Bangalore Textile Company" is to make profit through production of the suit materials and sell in the market. In order to meet the demand from the market, in case of production shortage, the company may also has to purchase some materials from other production plant and then resell to the market as well. The information of production cost, selling price and purchase price from other plants are provided. The table below shows the profit for production profit and trading from
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This Case Study deals with production-mix problem in Red Brand Canners, medium-sized company that cans and distributes a variety of fruit and vegetable products. This particular problem deals with three tomato-products: 1. Whole tomato cans 2. Tomato juice 3. Tomato paste cans Production objective is to define such product mix, which will bring maximum total profit, subject to various production constraints. General objective function can be defined as (1) Since three different products
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quantitative analysis model 5. Using spreadsheet for quantitative analysis 6. Limitation of quantitative analysis Introduction Quantitative analysis for decision-making is the application of a scientific approach to solve management problems. The purpose is to help managers make better decisions. Quantitative analysis encompasses a number of mathematically oriented techniques that have either been developed within the field of management science or adapted from other disciplines such
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OF ALGORITHMS Fall 2008 Instructor: Herbert Edelsbrunner Teaching Assistant: Zhiqiang Gu CPS 230 Fall Semester of 2008 Table of Contents 1 I 2 3 4 5 Introduction D ESIGN T ECHNIQUES Divide-and-Conquer Prune-and-Search Dynamic Programming Greedy Algorithms First Homework Assignment S EARCHING 3 4 5 8 11 14 17 18 19 22 26 29 33 34 35 38 41 44 IV 13 14 15 16 G RAPH A LGORITHMS Graph Search Shortest Paths Minimum Spanning Trees Union-Find Fourth Homework Assignment T OPOLOGICAL
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optimality by constructing simple n-block stacks that achieve an overhang of cn1/3 , for some constant c > 0. The problem of stacking a set of objects, such as bricks, books, or cards, on a tabletop to maximize the overhang is an attractive problem with a long history. J. G. Coffin [2] posed the problem in the “Problems and Solutions” section of this Monthly, but no solution was given there. The problem recurred from time to time over subsequent years, e.g., [18, 19], [12], [4]. Either deliberately or inadvertently
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directory c. ls – show contents of directory II. Variables in Python d. Variables do not need to be declared e. Must start with a letter or “_” i. can contain numbers f. **variable names are case sensitive! ii. Use camel case: 1. newValue 2. studentAverage 3. setAverageGrade g. Initializing a variable: iii. 3 2 1 iv. variable = value h. Order of Operations:
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Case 16-3: Bill French Note: This case is unchanged from the Eleventh Edition. Approach This case requires quite a few calculations, but it is a good case for introducing students to the uses and limitations of break-even analysis. It can be used to discuss many of the hidden assumptions involved in such an approach. Some instructors also find it a good vehicle for discussing some of the human problems arising when a young, well-educated person begins working in a business. Finally, at The University
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