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A Neural Network For Collaborative Forecasting, Abdulrahman M. Enani
A Neural Network For Collaborative Forecasting, Abdulrahman M. Enani
Masters Theses
As the supply chain activities’ backbone, demand forecasting must be accurate. This paper proposes an artificial neural network forecasting model, which integrates and synchronizes shared information, such as sales or consumption rate among different partners, to improve the forecasting’s accuracy. This information sharing is part of the collaborative planning, forecasting and replenishment (CPFR) model, which is a supply chain model aiming to enhance the supply chain’s efficiency by jointly planning and forecasting between two or more supply chain partners that will be used as the base for production and replenishment activities. The model is validated using a tuna product sales …
A Mixed Integer Linear Programming Approach For Developing Salary Administration Systems, Taner Cokyasar
A Mixed Integer Linear Programming Approach For Developing Salary Administration Systems, Taner Cokyasar
Masters Theses
Determining salary increases of executive personnel is a challenging decision process for many companies. Salary administration policies that aid in the determination of salary increases and other compensation benefits have a wide variety of advantages for both a company and its employees. This thesis develops a mathematical programming approach to create a salary administration system that recognizes the importance of performance and potential of employees for future promotions as major components of a salary increase policy for executive personnel. A number of companies all over the world use salary administration systems that integrate work performance and potential for advancement to …
Simulation Of 48-Hour Queue Dynamics For A Semi-Private Hospital Ward Considering Blocked Beds, Wei Chen
Simulation Of 48-Hour Queue Dynamics For A Semi-Private Hospital Ward Considering Blocked Beds, Wei Chen
Masters Theses
This thesis study evaluates access to care at an internal medicine unit with solely semi-private rooms at Baystate Medical Center (BMC). Patients are divided into two types: Type I patient consumes one bed; Type II patient occupies two beds or an entire semi-private room as a private space for clinical reasons, resulting in one empty but unavailable (blocked) bed per Type II patient. Because little data is available on blocked beds and Type II patients, unit-level hospital bed planning studies that consider blocked beds have been lacking. This thesis study bridges that gap by building a single-stream and a two-stream …