Capacity Management is described in most key ITSM frameworks: ITIL, ISO 20000 Microsoft Operations Framework (MOF) and the Application Service Library (ASL) all note the importance of Capacity Management. This major title meets the need for an in-depth practical guide to this critical process. Written and reviewed by some of the world s most respected experts in this field it shows how Capacity Management best practice can support provision of a consistent, acceptable service level at a known and controlled cost. Practical advice covers the essential control of two balances: Supply versus demand and resources versus cost. In times of mean, frugal economic measures, it is essential to focus on those practices that are effective and yield practical results. In enlightened times of sustainability, it is also a requirement to find solutions that satisfy the criteria for 'greenness'. This excellent title shows how Capacity Management works not only within an IT environment but also why it is pivotal in meeting high profile business demands. Aligns with ISO/IEC 20000 and ITIL® ISO/IEC lists a set of required capacity management deliverables ITIL outlines what should be done in capacity management this book starts to describe how to do it Covers details of what capacity management is all about: what is capacity management why do it benefits and cost-benefit analysis how to do it data-flows and activities who does it roles and perspectives implementation, maintenance, improvement, tools Provides comprehensive templates and checklists: objectives, interfaces and data-flows, sub-practices and activities metrics, application sizing parameters, data for modelling deliverables, reports, CMMI levels, KPIs, risk matrix sample capacity plan

POLCA (Paired-cell Overlapping Loops of Cards with Authorization) is a card-based visual control system that manages the flow of jobs through the shop floor: at each operation, it controls which job should be worked on next to meet delivery targets. POLCA ensures that upstream operations use their capacity effectively by working on jobs that are needed downstream, while at the same time preventing excessive work-in-process (WIP) build-ups when bottlenecks appear unexpectedly. POLCA is particularly suited to companies manufacturing high-mix, low-volume and customized products. Such companies struggle with long lead times, late deliveries, and daily expediting to meet delivery dates. ERP systems are not designed to deal with this highly variable environment, and add-on software such as Finite Capacity Scheduling systems can require complex installation. Also, the Kanban system does not work well with low-volume or custom production. POLCA has delivered impressive results in such environments. It does not require any complex software implementation: it can be used without an ERP system or it can seamlessly complement an existing ERP system. This book: Provides a step-by-step roadmap on how to implement POLCA; invaluable for both companies that wish to implement POLCA as well as consultants and academics advising such companies. Explains the concepts in practical and easy-to-understand terms by showing detailed shop-floor examples. Includes more than 100 illustrations for understanding how POLCA works as well as for elaborating on details of the implementation steps. Contains case studies written by company owners and executives documenting their POLCA implementation process and the results achieved in various industries in six countries.

The second publication in the Create, Protect, and Deliver Digital Business value series provides practitioners with detailed guidance on creating a NIST Cybersecurity Framework risk management program using NIST Special Publication 800-53, the DVMS Institute’s CPD Model, and existing digital business systems

TRB’s second Strategic Highway Research Program (SHRP 2) Report S2-C08-RR-1: Linking Community Visioning and Highway Capacity Planning explores community visioning efforts, identifies steps and activities that might be considered when engaging in visioning, and highlights the links between vision outcomes and transportation planning and project development processes.

Capacity management is a core activity when designing and operating distributed software systems. Particularly, enterprise application systems are exposed to highly varying workloads. Employing static capacity management, this leads to unnecessarily high total cost of ownership due to poor resource usage efficiency. This thesis introduces a model-driven online capacity management approach for distributed component-based software systems, called SLAstic. The core contributions of this approach are a) modeling languages to capture relevant architectural information about a controlled software system, b) an architecture-based online capacity management framework based on the common MAPE-K control loop architecture, c) model-driven techniques supporting the automation of the approach, d) architectural runtime reconfiguration operations for controlling a system’s capacity, as well as e) an integration of the Palladio Component Model. A qualitative and quantitative evaluation of the approach is performed by case studies, lab experiments, and simulation.

Data governance looks simple on paper, but in reality it is a complex issue facing organizations. In this practical guide, data experts Uma Gupta and San Cannon look to demystify data governance through pragmatic advice based on real-world experience and cutting-edge academic research.

Discover what does—and doesn’t—work when designing and building a data governance program In A Practitioner’s Guide to Operationalizing Data Governance, veteran SAS and data management expert Mary Anne Hopper walks readers through the planning, design, operationalization, and maintenance of an effective data governance program. She explores the most common challenges organizations face during and after program development and offers sound, hands-on advice to meet tackle those problems head-on. Ideal for companies trying to resolve a wide variety of issues around data governance, this book: Offers a straightforward starting point for companies just beginning to think about data governance Provides solutions when company employees and leaders don’t—for whatever reason—trust the data the company has Suggests proven strategies for getting a data governance program that’s gone off the rails back on track Complete with visual examples based in real-world case studies, A Practitioner’s Guide to Operationalizing Data Governance will earn a place in the libraries of information technology executives and managers, data professionals, and project managers seeking a one-stop resource to help them deliver practical data governance solutions.