Personnel Scheduling at United Airlines 1. T. J. Holloran and J. E. Bryn‚ “United Airlines Station Manpower Planning System‚” Interfaces‚ 16(1): 39–50‚ Jan.–Feb. 1986. Despite unprecedented industry competition in 1983 and 1984‚ UNITED AIRLINES managed to achieve substantial growth with service to 48 new airports. In 1984‚ it became the only airline with service to cities in all 50 states. Its 1984 operating profit reached $564 million‚ with revenues of $6.2 billion‚ an increase of 6 percent
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Programming: Sensitivity Analysis and Interpretation of Solution Linear Programming Applications in Marketing‚ Finance and Operations Management Advanced Linear Programming Applications Distribution and Network Models Integer Linear Programming Nonlinear Optimization Models Project Scheduling: PERT/CPM Inventory Models Waiting Line Models Simulation Decision Analysis Multicriteria Decisions Forecasting Markov Processes Linear Programming: Simplex Method Simplex-Based Sensitivity Analysis and Duality Solution
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to a single-member 12-ward system. The authors of this paper designed the redistricting plan. This paper describes the algorithm we applied to solve the problem and the decision support system we used. The algorithm is based on a multicriteria mathematical model‚ which is solved by a tabu search heuristic embedded within a geographic information system (GIS)-based decision support system. The resulting district plan meets districting criteria‚ including population balance‚ contiguity‚ compactness
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ask publishers to send me copies of such books. 1994 Franz Edelman Competition Videotapes SiNHA‚ GOPAL P.; MnTER‚ N.; SINGH‚ S. B.; DUTTA‚ G.; ROY‚ P. N.; CHANDRASEKARAN‚ B. S.; and CHOUDHURY‚ A. R. 1995‚ Strategic and Operational Management with Optimization in Tata Steel‚ No. 94.01‚1" VHS: $150‚1" U-Matic: $185. CosARES‚ STEVEN; DEUTSCH‚ D . ; SANIEE‚ I.; and W A S E M ‚ O . 1995‚ Copyright © 1996‚ Institute for Operations Research and the Management Sciences 0092-2102/96/2604/0078$01.25 SONET
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Dublin Institute of Technology ARROW@DIT Conference papers School of Marketing 2002-01-01 Flow Shop Scheduling Problem: a Computational Study Amr Arisha Dublin Institute of Technology‚‚ amr.arisha@dit.ie Paul Young Dublin City University Mohie El Baradie Dublin City University Follow this and additional works at: http://arrow.dit.ie/buschmarcon Part of the Other Operations Research‚ Systems Engineering and Industrial Engineering Commons Recommended Citation Arish‚ A.‚ Young
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«Programação Linear»‚ Vol. I‚ McGraw-Hill de Portugal‚ Lisboa. WAGNER‚ Harvey M.‚ 1972‚ “Principles of Operations Research (with applications to managerial decisions)”‚ Prentice-Hall International‚ London. WILLIAM‚ H. P.‚ 1978‚ “Model Building in Mathematical Programming”‚ John Wiley & Sons‚ UK. v
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Ruteplanlægning i hjemmeplejen. Master’s thesis‚ Informatics and Mathematical Modelling‚ Technical University of Denmark. Li‚ Y.‚ Lim‚ A.‚ Rodrigues‚ B.‚ 2005. Manpower allocation with time windows and jobteaming constraints. Naval Research Logistics 52 (4)‚ 302–311. Lim‚ A.‚ Rodrigues‚ B.‚ Song‚ L.‚ 2004. Manpower allocation with time windows. Journal of the Operational Research Society 55 (11)‚ 1178–1186. Lougee-Heimer‚ R.‚ 2003. The common optimization interface for operations research: Promoting open-source
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periods. We model a joint manufacturing/pricing decision problem‚ accounting for that portion of demand realized in each period that is induced by the interaction of pricing decisions in the current period and in previous periods. We formulate a mathematical programming model and develop solution techniques. We identify structural properties of our models and develop closed-form solutions and effective heuristics for various special cases of our models. Finally‚ we conduct extensive computational experiments
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.......................................................................... 2 2. Approach ............................................................................................................................. 2 2.1. 2.2. 3. Mathematical formulation ............................................................................................ 2 Solution........................................................................................................................ 4 Numerical
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3.4 Linear Programming Linear programming is one of the most useful types of word problems we learn in Algebra 2. It takes a collection of information and produces the best possible solution. However‚ each problem is unique. This requires an overall understanding of how to set these up. You need to buy some filing cabinets. You know that Cabinet X costs $10 per unit‚ requires six square feet of floor space‚ and holds eight cubic feet of files. Cabinet Y costs $20 per unit‚ requires eight square
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