...Written Analysis & Communication @ Soft skills II @ Employability Skills @ IT & MIS 2 Soft skills I @ Computing skills 2 Social Media Marketing @ 2 Legal Aspects of Business 2 Business Strategy 3 Management Control Systems 3 Micro Economics 3 Macro Economics 3 Business Environment 3 Business Ethics & Corporate Governance 2 Quantitative Methods-1 3 Business Research Methods 3 Quantitative Methods-2 3 Core Elective-1 3 Core Elective1 3 Core Elective-2 3 Core Elective2 3 Elective-1 3 Elective-1 3 Elective-2 3 Elective-2 3 Grand Project-1 3 Grand Project-2 3 Principles of Management Basic Building Blocks Autumn Break Executive Skills Organisational Behavior Human Resources Management 3 Marketing Management 1 3 Marketing Management -2 3 Understanding Financial Statements 3 Financial Mgt 3 Operation Management Management Domain 3 3 Basics of Business Planning 2 Electives Credits Autumn Break credit SUMMER INTERNSHIP Course S 1 22 S 2 24 Total Credits 2 8 S 3 21 S 4 20 95 Index Sr.No Subject Faculty Credits 1 Written Analysis & Communication Prof. Dhriti Banerjee @ 2 Soft Skills Prof. Dhriti Banerjee @ 3 Computing Skills Dr. Nidhi Arora ...
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...OPERATION RESEARCH Credits: 4 SYLLABUS Development Definition, Characteristics and phase of Scientific Method, Types of models. General methods for solving operations research models. Allocation: Introduction to linear programming formulation, graphical solution, Simplex ethod, artificial variable technique, Duality principle. Sensitivity analysis. Transportation Problem Formulation optimal solution. Unbalanced transportation problems, Degeneracy. Assignment problem, Formulation optimal solution, Variation i.e., Non-square (m x n) matrix restrictions. Sequencing Introduction, Terminology, notations and assumptions, problems with n-jobs and two machines, optimal sequence algorithm, problems with n-jobs and three machines, problems with n-jobs and m-machines, graphic solutions. Travelling salesman problem. Replacement Introduction, Replacement of items that deteriorate with time – value of money unchanging and changing, Replacement of items that fail completely. Queuing Models M.M.1 & M.M.S. system cost considerations. Theory of games introduction, Two-person zero-sum games, The Maximum –Minimax principle, Games without saddle points – Mixed Strategies, 2 x n and m x 2 Games – Graphical solutions, Dominance property, Use of L.P. to games, Algebraic solutions to rectangular games. Inventory Introduction, inventory costs, Independent demand systems: Deterministic models – Fixed order size systems – Economic order quantity (EOQ) – Single items, back ordering...
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...Objective: Operations Research is the science of decision making and the art of decision modelling. It is a set of quantitative tools used by the managers to take decisions and formulate their business strategies. The basic objective of this course is to provide an understanding of the important techniques used in decision making. A certain level of mathematical hands-on expertise will be required to ensure understanding of the tools in operations research. At the end of the course you are expected to • Formulate real world decision making situations as mathematical optimisation problems • Solve linear programming problems • Be able to understand what the solution means • Understand basic concepts of transportation, assignment and integer programming problems. Reference [1] F.S.Hillier and M.S.Hillier, Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets, Tata McGraw-Hill, New Delhi,. [2] H.A.Taha, Operations Research An Introduction, Prentice Hall of India Private Limited, New Delhi. [3] Hiller and Lieberman, Introduction to Operations Research, Tata McGraw Hill, New York,. [4] N. Balakrishnan, B. Render and R.M.Stair, Managerial Decision Modeling With Spreadsheets, Pearson Education. Objective: Operations Research is the science of decision making and the art of decision modelling. It is a set of quantitative tools used by the managers to take decisions and formulate their business strategies. The basic...
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...CON100 Recitation: (Check your section time) Course Website: http://blackboard.rutgers.edu COURSE DESCRIPTION Key quantitative techniques essential for analyzing and improving business operations. Spreadsheet modeling of business decision problems, both with and without data uncertainty. Linear and integer programming optimization models. Elementary applied probability modeling and Monte Carlo simulation. COURSE MATERIALS Required Textbook(s): Introduction to Management Science, 11/E (Available in Book Store) Bernard W. Taylor ISBN - 10: 0132751917 ISBN - 13: 9780132751919 Course items in Blackboard LEARNING GOALS AND OBJECTIVES LGO1. Students will understand and be able to apply Key quantitative techniques essential for analyzing and improving business operations A. Students will be able to use spreadsheet modeling of business decision problems, both with and without data uncertainty in preparing assignments, projects, or term papers in other courses in the functional area business disciplines as well as in research projects in the workplace. B. Students will be able to employ spreadsheet software (e.g. Microsoft Excel) as a tool to assist in the solution of business problems. C. Students will have an awareness of ethical issues in conducting research, in optimization problems and in the presentation of results. LGO2. Students will be able to understand risk from the perspective of Elementary applied probability modeling and Monte Carlo...
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...Op"erations Research This page intentionally left blank Copyright © 2007, 2005 New Age International (P) Ltd., Publishers Published by New Age International (P) Ltd., Publishers All rights reserved. No part of this ebook may be reproduced in any form, by photostat, microfilm, xerography, or any other means, or incorporated into any information retrieval system, electronic or mechanical, without the written permission of the publisher. All inquiries should be emailed to rights@newagepublishers.com ISBN (13) : 978-81-224-2944-2 PUBLISHING FOR ONE WORLD NEW AGE INTERNATIONAL (P) LIMITED, PUBLISHERS 4835/24, Ansari Road, Daryaganj, New Delhi - 110002 Visit us at www.newagepublishers.com PREFACE I started my teaching career in the year 1964. I was teaching Production Engineering subjects till 1972. In the year 1972 I have registered my name for the Industrial Engineering examination at National Institution of Industrial Engineering, Bombay. Since then, I have shifted my field for interest to Industrial Engineering subjects and started teaching related subjects. One such subject is OPERATIONS RESEARCH. After teaching these subjects till my retirement in the year 2002, it is my responsibility to help the students with a book on Operations research. The first volume of the book is LINEAR PORGRAMMING MODELS. This was published in the year 2003. Now I am giving this book OPERATIONS RESEARCH, with other chapters to students, with a hope that it will help them to understand...
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...PRINCIPLES AND APPLICATIONS OF OPERATIONS RESEARCH * Jayant Rajgopal Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania ABSTRACT This chapter will provide an overview of Operations Research (O.R.) from the perspective of an industrial engineer. The focus of the chapter is on the basic philosophy behind O.R. and the so-called “O.R. approach” to solving design and operational problems that industrial engineers commonly encounter. In its most basic form, O.R. may be viewed as a scientific approach to solving problems; it abstracts the essential elements of the problem into a model, which is then analyzed to yield an optimal solution for implementation. The mathematical details and the specific techniques used to build and analyze these models can be quite sophisticated and are addressed elsewhere in this handbook; the emphasis of this chapter is on the approach. A brief review of the historical origins of O.R. is followed by a detailed description of its methodology. The chapter concludes with some examples of successful real-world applications of O.R. * Maynard's Industrial Engineering Handbook, 5th Edition, pp. 11.27-11.44. 1.1 INTRODUCTION Although it is a distinct discipline in its own right, Operations Research (O.R.) has also become an integral part of the Industrial Engineering (I.E.) profession. This is hardly a matter of surprise when one considers that they both share many of the same objectives, techniques and application areas...
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...Journal of Business & Economics Research – July 2005 Volume 3, Number 7 Operations Research And Operations Management: From Selective Optimization To System Optimization Jack A. Fuller, (E-mail: jfuller@wvu.edu), West Virginia University C. Lee Martinec, West Virginia University ABSTRACT The focus of this research paper is to discuss the development of Operations Management (OM) and Operations Research (OR) with respect to their use within the organization’s decision-making structure. In addition, the difference in the tools and techniques of the two fields is addressed. The question is raised as to how distinct the two academic fields have become in light of the application of their models to the service industry. Suggestions are made regarding the possibility of incorporating OM/OR models and their output into the decision making structure of the organization towards the goal of “system optimization”. ORIGINS OF OPERATIONS MANAGEMENT AND OPERATIONS RESEARCH A comparison of the origins of operations management and operations research reveals that both are an innovation of the 20th century. The origin of operations research was in England, circa 1937, and has its roots in scientific management, with its first significant applications to military operations in both World War I and World War II. Operations management had its origins in the early factory system, and was more associated with physical production in a factory environment and it too was strongly influenced...
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...MATHEMATICAL PROGRAMMING - INDR. 363 (1) 2011 FALL Class Meeting Location ENG Z27 Class Meeting Times TH B3,TU B3 Instructor Office Hours Office Location Office Phone Email Web Address Number of Credits ETC Credit Prerequisites Language ONUR KAYA W 14:00-16:00 ENG 206 1583 okaya@ku.edu.tr 3 6 INDR. 262 English Assistant TA/RA/Lab Assistant Name AYLİN LELİZAR POLAT GÜLÇİN ERMİŞ Email aypolat@ku.edu.tr gulermis@ku.edu.tr Office Hours Office Location Course Description Introduction to modeling with integer variables and integer programming; network models, dynamic programming; convexity and nonlinear optimization; applications of various optimization methods in manufacturing, product design, communications networks, transportation, supply chain, and financial systems. Course Objectives The course is designed to teach the concepts of optimization models and solution methods that include integer variables and nonlinear constraints. Network models, integer, dynamic and nonlinear programming will be introduced to the students. Students will be exposed to applications of various optimization methods in manufacturing, product design, communications networks, transportation, supply chain, and financial systems. Several different types of algorithms will also be presented to solve these problems. The course also aims to teach how to use computer programs such as Matlab and GAMS to solve mathematical models. Learning Outcomes Students are expected to model...
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...Year | 2015-16 | Academic Term | T1☐ T2☐ T3☐ T4☐ T5☐T6☐ | Functional Areas | OPERATIONS MANAGEMENT | Core ☐ Elective x☐x | Title | Quantitative Methods II | Abbreviation | QM-II | Course Coordinator | Prof. RAVI SHANKAR | Teaching Members | | Course Revision Record Version | Version Date | Recommendation | 1 | 05 Sept 2015 | | Credits | 3 | Contact Hours | 30 | Learning Hours | 60 | Office Hours | 30 | Contact Details | 09811033937 | Course eMail | r.s.reaches@gmail.com | Course Descriptor Course Overview(200 words) | Quantitative Methods-II, focuses on ‘Operations Research’ tools which helps in solving problems in different functional domain of business. It also helps to optimize business operations/processes. The Quantitative Method-II tools act as aids to decision makers to take best decision for effective & efficient use of resources which ultimately lead to profit maximization or to achieve multiple goals or objective. | Course must be aligned with a strategic objective of the program Prerequisites/Co-requisites | Quantitative Methods I | Learning Objectives | To learn basic optimization techniques and their managerial applications with a focus on methodologies such as Linear Programming, Transportation models, Assignment Models, Transhipment Models, Games Theory, Queuing Models, Goal Programming, Integer Programming, Non-linear Programming, Simulation and Decision Theory. | Learning objectives must be aligned with learning...
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...Organizational Structures (Author’s name) (Institutional Affiliation) Date Introduction The organization of corporate structures is important in the allocation of duties and roles, supervision of employees at the workplace as well as the efficient coordination of workflow in an organization. These plans form the basis of effective operations of any company’s projects, and give accurate insights on the exploration of the minimal resources available to an organization’s disposal. Besides, it enables any company to manage the work force in the process of timely completion of projects and extension of the businesses longevity. Therefore, it is important to define the roles of each party in any project assigned to the organization. Analysis of the case: designing the authorities of a project manager The Beijing EAP Inc. is a company that provided EAPs to many customers. The nature of its operations required the employees to have strong academic backgrounds that qualified them to operate in this multinational service company. Being the largest market holder in the mainland China, the Company had a huge customer base that categorized it as a big corporation. Amongst some customers of BEC were IBM, Siemens, Samsung, Lenovo, Guadong Mobile and the China Development Bank. Consequently, the Company had many projects that prompted the management to subdivide the projects to different segment managers. In this case study, for instance, Mr. Yang represents a training department...
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...ADVANCED OPERATION RESEARCH ASSIGNMENT OF O.R. METHODOLOGY DEVELOPMENT DEVELOPMENT OF TRANSPORTATION METHODOLOGY IN OPERATION RESEARCH “PENGEMBANGAN METODE TRANSPORTASI DALAM OPERASI PENELITIAN” TYPE II – COMPARE & CONTRAST IQBAL TAWAKKAL - 1506694736 PROGRAM MAGISTER TEKNIK INDUSTRI - SALEMBA UNIVERSITAS INDONESIA 1. INTRODUCTION A special class of linear programming problem is Transportation Problem, where the objective is to minimize the cost of distributing a product from a number of sources (e.g. factories) to a number of destinations (e.g. warehouses) while satisfying both the supply limits and the demand requirement. Because of the special structure of the Transportation Problem the Simplex Method of solving is unsuitable for the Transportation Problem. The model assumes that the distributing cost on a given rout is directly proportional to the number of units distributed on that route. Generally, the transportation model can be extended to areas other than the direct transportation of a commodity, including among others, inventory control, employment scheduling, and personnel assignment. Transportation was one of the earliest application areas of operations research, and important transportation problems, such as the traveling salesman problem, vehicle routing problem, and traffic assignment problem, contributed to fundamental knowledge in operations research. Transportation remains one of the most important and vibrant areas of operations research...
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...Operational Research 203 (2010) 539–549 Contents lists available at ScienceDirect European Journal of Operational Research journal homepage: www.elsevier.com/locate/ejor Invited Review Research on warehouse design and performance evaluation: A comprehensive review Jinxiang Gu a, Marc Goetschalckx b,*, Leon F. McGinnis b a b Nestle USA, 800 North Brand Blvd., Glendale, CA 91203, United States Georgia Institute of Technology, 765 Ferst Dr., Atlanta, GA 30332-0205, United States a r t i c l e i n f o a b s t r a c t This paper presents a detailed survey of the research on warehouse design, performance evaluation, practical case studies, and computational support tools. This and an earlier survey on warehouse operation provide a comprehensive review of existing academic research results in the framework of a systematic classification. Each research area within this framework is discussed, including the identification of the limits of previous research and of potential future research directions. Ó 2009 Elsevier B.V. All rights reserved. Article history: Received 5 December 2005 Accepted 21 July 2009 Available online 6 August 2009 Keywords: Facilities design and planning Warehouse design Warehouse performance evaluation model Case studies Computational tools 1. Introduction This survey and a companion paper (Gu et al., 2007) present a comprehensive review of the state-of-art of warehouse research. Whereas the latter focuses on warehouse operation problems...
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...Disruption Management in the Airline Industry: Dealing with the Airline Recovery Problem Andr´as Mavrocordatos e i6015437 Maastricht University School of Business and Economy Econometrics & Operations Research Master Thesis Supervisor: Tjark Vredeveld August 23, 2015 Abstract This thesis approaches the disruption management problem in the airline industry. The problem is proposed by the ROADEF 2009 Challenge and considers multiple objectives: minimize passenger disutility while maximizing revenue. Moreover, the airline operations should be back to normal after a given recovery period. The method used in this thesis is to firstly create an initial feasible schedule by focusing on different constraints and maximizing the number of passengers arriving to their destination, and secondly, to improve the schedule by using a form of Tabu Search to create and cancel routes in order to diversify the schedule. During the improvement algorithm, routes are created based on characteristics related to disrupted routes in the initial schedule, and routes are deleted based on a selective criterion related to aircraft. 1 Contents 1 Introduction 4 2 Problem Description 6 2.1 Stakeholders . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.1.1 Airports . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.1.2 Aircraft . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ....
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...FT 6202: Management Science (2012-2013) Class 1: Introduction to Transportation Problem Re-cap of linear programming, Classic transportation problem, LP formulation, Solution using MS Excel Text: BRS 5.1, 5.2, 5.3 Class 2: Transportation Problem (cont.) Basic feasible solution of TP, properties, Analysis of Excel output, Sensitivity analysis Text: BRS 5.1, 5.2, 5.3 Class 3: Transshipment problem Formulation of LP model, different variations (unbalanced case, combining with production scheduling, multi-modal and multi-SKU transportation), Conversion of transshipment model into classic transportation model. Text: BRS 5.4, 5.5 Class 4: Assignment problem Binary ILP formulation, solution by Hungarian method Text: BRS 5.6 Class 5: Network models Shortest path problem, Minimal spanning tree Text: BRS 5.8, 5.9 Class 6: Game theory Introduction to game theory: Types of game, Two person zero-sum game, concept of saddle point, dominance rule Text: WW 14.1, 14.2 Class 7: Game theory (contd.) Mixed startegy, Linear programming formulation Text: WW 14.2, 14.3 Class 8: Mid-term Test Class 9: Markov chain Introduction to stochastic processes, markov chains, transition probability matrix, steadystate probabilities. Text: Handouts and WW 17.1, 17.2, 17.3 Class 10: Decision theory Decision making under uncertainty, Decision criteria, Decision Tree Text: BRs 8.1, 8.2, 8.3, 8.4, 8.6 Class 11: Decision theory (contd.) Decision making under risk, EVPI, EVSI Text: 8.5, 8.8, 8.9 Class 12: Travelling...
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...Operational Research and Business Analysis 1 Assignment 2013/14 Author: Thibaut Achard de Leluardière Abstract: Looking through the infinite number of theories and models developed in organisations, this assignment aims at finding out the founding principles of a good OR/MS model and general issues encountered in the setting-up of OR interventions. To try out and compare the insights presented, this assignment proposes to study a specific case about OR modelling in Fishery management. Fishery Management is related to the preservation of fish resources and optimisation of catch and profit of this industry, in a context of high-yield practices and increasingly more complex environmental issues present. This case applies to a large and complex system linked to today’s topics issues of sustainable development. In addition, a personal experience of analytical project related to an internship position as assistant project manager in a leading oil company is proposed to illustrate this essay. This essay concludes by giving recommendations about what could be the characteristics of an ideal portrait of OR/MS model. Introduction: In a letter addressed to English universities after the Second World War, general Pile, a popular British officer who commended the Anti-Aircraft Command, claims for men of sciences ‘able to quickly understand complex issues and to find them simple’. Thus, supporting the fast economic growth in Europe after war, operational research (OR) and...
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