Project Workforce Estimating
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Project Workforce Estimating
Place the right people in the right roles at the right time with this essential guide Project estimating, or project workforce planning, involves a systematic process of identifying and managing the key human resources required for efficient and effective completion of a project. This process necessarily balances a huge range of factors, from forecasting labor costs to managing team composition to incorporating relevant legislation and projecting the impact of artificial intelligence, and market conditions. Effective workforce planning contributes to overall project success by ensuring that the right people are in the right roles at the right time. Project Workforce Estimating: Best Practices for Project Managers offers a comprehensive overview of workforce planning, from foundational principles to advanced techniques. It offers a range of techniques and strategies that can be incorporated into planning for virtually any kind of project, along with detailed guidance to ensure accurate projections. Closely aligned with industry standards, it is a must-own for project managers looking to systematize a critical stage of project management. Project Workforce Estimating: Best Practices for Project Managers readers will also find: Aligned with standards such as the PMBOK Guide and Earned Value Management Systems Detailed exploration of global workforce estimation, project life cycle costing, and more A range of techniques and strategies suitable for any possible industry Project Workforce Estimating: Best Practices for Project Managers is ideal for project managers, PMPs, business analysts and consultants, executives and senior managers, and HR professionals.
Recent Advances in Artificial Intelligence in Cost Estimation in Project Management
This book focuses on the practical application of AI tools and techniques in software project management, offering detailed theoretical explanations and practical examples of over 40 state-of-the-art machine learning and deep learning algorithms applied across each project phase, as well as in risk and resource management. Helping the business world estimate projects more accurately while saving costs and resources is crucial in today’s rapidly changing, fast-paced technological landscape. Moreover, it presents specific aspects of combined approaches through ensemble models, incorporating Taguchi’s optimization method to further improve estimation accuracy, advancing this area of software project management. A valuable resource for students and professionals to deepen their knowledge and skills, it also serves as a great manual for companies adopting smarter strategies to manage and develop projects more efficiently and effectively.
Planning, Estimating, and Control of Chemical Construction Projects
Contains added chapters emphasizing the importance of choosing the correct project and defining project goals. Stresses the need for adequate front end loading (FEL) and outlines the responsibility of the venture manager in project selection. Provides updated case studies and examples on technical evaluation criteria, construction progress monitori