China
Africa
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Managing Service Delivery
Published in Stephen Holloway, Airlines: Managing to Make Money, 2017
In practice, airline costs can be extraordinarily difficult to manage (see Holloway, 1997). Depending upon the time-scale adopted, a high proportion of them can be considered fixed. Capacity management is a major operational challenge in the industry, both at the macro-level (i.e., maximising revenues and optimising load factors) and the micro-level (i.e., managing queues at various stages in the service delivery process). Furthermore, several important variable costs are either prone to sudden and sizeable swings (e.g., fuel prices) or are set by monopoly suppliers such as providers of airway and airport facilities. Historically thin operating margins leave airline profitability exposed to the impact of the industry’s typically high financial and operating leverage (ibid).
Ships’ Size, Ports’ Size: A New Era Ahead
Published in Maria G. Burns, Port Management and Operations, 2018
Both capacity management and capacity planning aim to ensure that the port’s infrastructure, services, and superstructure meet the market’s demand. In other words, they aim to monitor and control the ships’ time costs and the port’s costs. While capacity management works with the existing resources, capacity planning entails the elements of strategic forecasting and proactiveness; it plans ahead based on future market trends, as well as clients’ needs. Both capacity management and capacity planning are strategic tools that seek for an attractive market equilibrium between supply and demand.
Artificial Intelligence and IT Management
Published in Frank M. Groom, Stephan S. Jones, Artificial Intelligence and Machine Learning for Business for Non-Engineers, 2019
Capacity Management is the process by which to ensure that the capacity of IT services and the IT infrastructure can deliver the agreed Service Level targets in a cost-effective and timely manner. Capacity Management considers all resources required to deliver the IT service, and plans for short-, medium-, and long-term business requirements. AI has already made a noticeable impact on Capacity Management in terms of scheduling resources and changes (Krazit, 2017).
Integrating performance and risk aspects of supply chain design processes
Published in Production Planning & Control, 2018
Capacity management is a function whereby decisions are made regarding optimum upper and lower limits of production, including production planning, scheduling, material requirements and output or delivery. Capacity management involves planning with regard to resource requirements and capacity trade-offs, such as how changes to inputs or outputs affect overall capacity. Capacity reflects various capabilities across workers, equipment, machinery, management and the organisation as a whole to produce outputs over a given time period. Particularly in global environments, various unexpected events can result in unreliable production capacity, with resultant negative effects on supply chain networks (Wu et al., 2010).