Thesis (Ph.D.)--The Johns Hopkins University, 1996. / Advisers: Andrew Cherlin, Christopher Chase-Dunn. Includes bibliographical references.

No description available.

Thesis (M.P.A.)--University of Hong Kong, 1990.

Kuo, Yong Hong. / "August 2010." / Thesis (M.Phil.)--Chinese University of Hong Kong, 2010. / Includes bibliographical references (p. 130-133). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Ground Staff Allocation at Airports --- p.4 / Chapter 2.1 --- Background --- p.4 / Chapter 2.2 --- Literature Review --- p.8 / Chapter 2.3 --- Model --- p.12 / Chapter 2.3.1 --- Notation --- p.13 / Chapter 2.3.2 --- Basic Model --- p.17 / Chapter 2.3.3 --- Model Structure --- p.20 / Chapter 2.3.4 --- Definition of Tasks --- p.22 / Chapter 2.3.5 --- Job x Language Model --- p.25 / Chapter 2.3.6 --- Job + Language Model --- p.27 / Chapter 2.4 --- Methodology --- p.35 / Chapter 2.4.1 --- Branch-and-Cut Algorithm --- p.36 / Chapter 2.4.2 --- Constraint-Driven Approach --- p.40 / Chapter 2.5 --- Optimization Tool --- p.51 / Chapter 2.6 --- Computational Results --- p.53 / Chapter 2.6.1 --- Branch-and-Cut Algorithm --- p.53 / Chapter 2.6.2 --- Constraint-Driven Approach --- p.59 / Chapter 2.7 --- Conclusions and Future Work --- p.64 / Chapter 3 --- Staff Scheduling in Emergency Departments --- p.67 / Chapter 3.1 --- Background --- p.67 / Chapter 3.1.1 --- Patient Flows --- p.69 / Chapter 3.1.2 --- Doctor Duties --- p.71 / Chapter 3.2 --- Simulation Model --- p.72 / Chapter 3.2.1 --- Assumptions --- p.73 / Chapter 3.2.2 --- Event-Scheduling --- p.74 / Chapter 3.2.3 --- Arrival Events --- p.80 / Chapter 3.2.4 --- Service Activities --- p.82 / Chapter 3.2.5 --- Paperwork-Processing --- p.84 / Chapter 3.2.6 --- Impact of Doctors' Schedules --- p.85 / Chapter 3.3 --- Parameter Estimation --- p.87 / Chapter 3.3.1 --- Data Scarcity --- p.87 / Chapter 3.3.2 --- Estimation of Service Time Distributions --- p.87 / Chapter 3.3.3 --- Search Procedure for Parameter Estimation --- p.90 / Chapter 3.3.4 --- Parameter Estimation by Descent Method --- p.91 / Chapter 3.3.5 --- Parameter Estimation by Simulated An- nealing --- p.93 / Chapter 3.4 --- Data Analysis and Simulated Results --- p.97 / Chapter 3.5 --- Conclusions and Future Work --- p.114 / Chapter A --- Mathematical Proofs --- p.116 / Chapter B --- Getting Started with the Manpower Optimization Tool --- p.122 / Chapter B.l --- Required Files or Programs --- p.122 / Chapter B.2 --- Input Parameters --- p.123 / Chapter B.3 --- Operational Tasks --- p.125 / Chapter B.4 --- Language Requirements --- p.126 / Chapter B.5 --- Flight Schedules --- p.126 / Chapter B.6 --- Availabilities of Workers --- p.128 / Chapter B.7 --- Staff Assignments --- p.128 / Bibliography --- p.130

Accurately forecasting future personnel inventory levels by rank and occupational specialty is a fundamental prerequisite for development of an effective and functional staffing plan. This thesis develops and evaluates univariate time series models to create six- and twelve-month forecasts of Marine Corps enlisted manpower levels. Models are developed for 44 representative population groups using Holt-Winters exponential smoothing, multiplicative decomposition, and Box-Jenkins autoregressive integrated moving average (ARIMA) forecasting methods. The forecasts are evaluated against actual, out-of-sample inventory levels using several goodness-of-fit indicators including Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), and Sum of Squared Errors (SSE). Among the modeling techniques evaluated, the multiplicative decomposition performed the best overall and represents an improvement over the Marine Corps' current forecasting method. This thesis recommends Marine Corps Systems Command, Total Force Information Technology Systems develop and introduce a multiplicative decomposition forecasting model into the Enlisted Staffing Goal Model. This forecasting technique should be implemented in phases, starting with the E-1 through E-4 population groups.

Náklady na posádky v aerolinkách jsou po nákladech na palivo druhé největší. Cílem aerolinky je zajistit bezpečný provoz s minimálním počtem posádek a tím optimalizovat náklady. Práce popisuje metodiku odhadu počtu posádek na roční období. Používá přiřazení, ve kterém je každému dnu člena posádky přiřazena činnost, kterou vykonává. V práci je popsán nelineární model, který využívá přiřazení a následně agreguje dny pro získání celkového počtu posádek. Model je řešen v programu Premium Solver Platform a Lingu 7.

Intense competitive pressures have led to compressed product life cycles and frequent introduction of new products. This creates demand volatility and a consequent pressure on manufacturing to meet this variable demand. In this paper we model the manpower planning issues for a computer manufacturer during the product introduction phase when a quick ramp-up of production to meet rapidly increasing demand is a key requirement. A mix of permanent and contingent workers with different skill sets is considered. Some important issues addressed in this research are (a) how to assign workers with different skills to maximize production (b) what is the induction rate of contingent workers to achieve the desired ramp-up and (c) what are the key decision factors that impact manufacturing performance An LP model is proposed to minimize overall costs subject to complex scheduling, skills, and learning rate requirements. Our analysis indicates that cost of induction of contingent workers, overtime cost premium, and the amount of overtime have significant impact on performance. The findings of the study will be useful to managers in planning and allocation of workers of different skills to various manufacturing processes and to determine the optimal number of contingent workers to induct. / Singapore-MIT Alliance (SMA)

published_or_final_version / Public Administration / Master / Master of Public Administration

Thesis (DBA(DoctorateofBusinessAdministration))--University of South Australia, 2001.

Thesis (M.S. in Management)--Naval Postgraduate School, March 2005. / Thesis Advisor(s): W. Hatch, C.A. Simon. Includes bibliographical references (p. 105-106). Also available online.