Strategic Management Analysis – Apple Watch

Apple smartwatch strategy is analyzed in this paper in comparison to its competitors like Samsung and Pebble. The features, cost, market share and sales of smartwatches are compared. The position of Apple smart watch in the technology adoption lifecycle is identified based on the sales. This paper also discusses the Porter’s five-force model and SWOT analysis as applied to Apple’s smart watch. Strength and weakness are analyzed for Apple smart watch and opportunities and threats in comparison to its competitors. The goal of this paper is to identify the position of Apple smartwatch in the smartwatch industry

Apollo Hospital Patient Database Upgrade

The purpose of this project to centralize, standardize, unify the Apollo Hospital’s patient management database across all locations. This will allow for reduced overhead and conflicts due to patient scheduling, patient records review/requests, and information sharing. This will result in a more efficient, streamlined, and error-free experience for our patients and our staff

Drone Technology and Applications

Drones, also named as unmanned aerial vehicles (UAVs), are becoming increasingly popular around the world. The objective of this paper is to understand different type of drones and its applications. This paper focuses mainly in agricultural, transport and aerial photography sector. It explores the UAV market, challenges and future opportunities in these three sectors. Regulations play an important role in the growth of UAV. Therefore, Regulations are also explored in this paper

Optimization Model For Multiple Project Management

In any company, there are plenty of factors which can move a project past its deadline. It\u27s very common for some project tasks (Activities) to be complex than anticipated or to have turnover on the project that requires to bring new resources up to speed. Sometimes, many project activities are simply underestimated and they end up taking more time than predicted. Regardless of how it happens, most of the times managers discover that projects are trending beyond committed deadlines. If it’s still the beginning of the project, some corrective actions could be taken to bring project back on track. But, closer to project deadline, choices dwindle. In spite of such situations, project deadlines can’t be easily delayed or postponed as most of the projects in a company are interdependent in nature while sharing resources to maintain economies of scale. Changing customer demands or pressure of stiff competition in the market also force managers to get the project done before deadline.In such cases, companies prefer the option of ‘Project Crashing’ which simply means applying additional resources to the critical path or the sequence of activities that must be completed in required schedule. It\u27s always possible to just throw more resources on the critical path, but crashing also means to get the biggest schedule gain for the least amount of incremental costs. To study the issue of Project Crashing and high crashing cost related to it, we examine the case of Siemens Energy Inc. Siemens Energy Inc. is a division of a large European company Siemens AG which has operations in manufacturing and electronics worldwide. Similar to all companies, Siemens Inc. also deals with the issue of managing multiple projects in a given period of time. Management at Siemens Inc. would like to prefer developing a standardized method or model that can help managers to make informed and rational decision which can help them to accomplish all the project activities in time with the least extra cost incurred. To begin with, we reviewed past literature available on Project Management. Most of them mainly focus on approaches used for schedule compression. In addition, we also reviewed past literature on optimization methods used for project crashing. Understading the past researches and the need of a robust and widely applicable optimization model for this classic but important problem, an attempt was made to address this Project Management. Hence, a model was developed using Linear Programming and Excel Solver which aims at meeting the project deadline with minimum cost

Home Energy Storage Options and Economic Values

This paper aims to analyze the economic benefit of installing a residential solar array in Portland, Oregon. Economic analysis is also performed for the excess energy generated which can be stored in the battery or can be sold back to the utility. On a basic level, solar panels convert the sun’s rays into electricity. Three solar systems with varied sizes were evaluated to identify the system size with maximum benefit. Through the analysis, a system size of less than 5kW was found to have the maximum cost-to-benefit ratio. The benefits of installing solar panel include: federal and state tax credit, along with an incentive from Energy Trust of Oregon (ETO). Five batteries were analyzed namely Tesla, LG Chem Resu 10, RedFlow Zcell, BYD B-Box LV Residential and Sonnen. Real customer data of an already installed solar array in Hillsboro was used for analysis. The electric bills before and after the array installation were analyzed. A 20 year cash flow was developed from the data gathered, and the internal rate of return, net present value and payback period were calculated. Then, sensitivity analysis was also performed by varying the energy consumption, size of the system, electricity rate, the forecasted increase in electricity rate over the next 20 years. We found that energy consumption did not have any impact on the internal rate of return and net present value of a system at this time. However, electricity rate increase and system size had an impact on the internal rate of return and net present value. Sensitivity analysis showed that investing in a solar system is a good economic decision, but that it would take a while to get the money back. Finally, the analysis also showed that smaller solar systems have good internal rates of return, and net present values and that there is no economic benefit in installing battery system in Oregon at this tim