COURSE TITLE : HOSPITALITY REVENUE MANAGEMENT CODE : HH302 PRE-REQUISITE : None CREDIT HOURS : 3 (Notional hours: 120) YEAR : Year 3 LECTURER : Lee Choon Kin SYNOPSIS Revenue management is one of the essential core areas in sustainable hospitality business. Students learn about the different aspects of revenue management concepts and the application of revenue management skills to result-oriented strategies in the hospitality industry. OBJECTIVES This course
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IEOR 4000: Production Management Lecture 5 1 Professor Guillermo Gallego 9 October 2001 Aggregate Production Planning Aggregate production planning is concerned with the determination of production‚ inventory‚ and work force levels to meet fluctuating demand requirements over a planning horizon that ranges from six months to one year. Typically the planning horizon incorporate the next seasonal peak in demand. The planning horizon is often divided into periods. For example‚ a one
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ECON90015 Managerial Economics Managerial Economics‚ Custom Book Edition‚ Pearson‚ 2012. This is available from the main bookshop. Assessment Task Individual or Group Hard copy or Electroni c Hardcopy in lecture Due Assessment Weighting Mid-semester exam Individual In the week commencing Monday April 15 (Week 6) 4pm on Monday May 6 (Week 9) 10% Assignment Group Electronic 20% End-of semester exam Individual Hardcopy 70% FNCE90060 Financial Management
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The name of the paper is solving one dimensional cutting stock problem with discrete demands and capacitated planning objective. Cutting stock problems are NP-hard problems and mentioned about what is NP-hard problems. One of classical NP-hard problems which could not be solved within the polynomial computation time is a cutting stock problem. Wongprakornkul and Charnsethikul said that the most powerful algorithm for solving linear problems with many columns is the column generation procedure and
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Managerial Decision Modeling w/ Spreadsheets‚ 3e (Balakrishnan/Render/Stair) Chapter 4 Linear Programming Sensitivity Analysis 4.1 Chapter Questions 1) Surplus is typically associated with which type of constraints? A) ≤ B) ≥ C) = D) ≠ E) ± Answer: B Page Ref: 124 Topic: Sensitivity Analysis Using Graphs Difficulty: Easy 2) Assume that the shadow price of a non-binding "≤" constraint is 5. This implies that: A) if the right-hand side value of the constraint increases by 1 unit‚ the objective
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HP-UPS: The main cost difference in two scenarios should be the following: Cost Without UPS With UPS Inventory High Low Trans-shipment Low High Exchange rate impact Low High Interest Impact High Low Base material cost Low High Lost sales High Low Obsolescence High Low If the costs increase in transshipment‚ exchange rate and base material cost is more than that reduced through inventory reduction(combined should have less variation than separate individual)‚ interest
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Adopt Algorithm for Distributed Constraint Optimization Pragnesh Jay Modi Information Sciences Institute & Department of Computer Science University of Southern California http://www.isi.edu/~modi Distributed Optimization Problem “How do a set of agents optimize over a set of alternatives that have varying degrees of global quality?” Examples l allocating resources l constructing schedules l planning activities Difficulties l No global control/knowledge l Localized communication l Quality
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Economic order quantity is the order quantity that minimizes total inventory holding costs and ordering costs. It is one of the oldest classical production scheduling models. The framework used to determine this order quantity is also known as Barabas EOQ Model or Barabas Formula. The model was developed by Ford W. Harris in 1913‚ but R. H. Wilson‚ a consultant who applied it extensively‚ is given credit for his in-depth analysis EOQ applies only when demand for a product is constant over the year
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Differential Evolution Algorithm for Solving Multi-Stages Assignment Problem: a case study of chicken transportation. I. Introduction The transportation in this case study is a chicken transportation from chicken farm to egg farm. There are 4 types of truck which are ten-wheel truck‚ eight-wheel truck‚ modified four-wheel truck and ordinary four-wheel truck. Each type of truck has different capacity moreover each hen’s farm has different in quantity supplied as same as each egg’s farm also have
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Case Problem Truck Leasing Strategy By: Alex Somerville November 8‚ 2014 In this problem‚ Bob Reep the owner and president of Reep Construction‚ needs to figure out a way to accommodate a short term leasing plan for trucks within budget to complete this project. In order to appropriately illustrate and solve Reep’s problem‚ I will be using the concept of a sensitivity analysis. This analysis will show how changes in this problem will affect the overall optimal solution. The following sensitivity
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