The participatory annual planning procedure

2021 ◽  
pp. 130-162
Author(s):  
Robin Hahnel
Keyword(s):  
Planning Procedure ◽  
Annual Planning

scholarly journals Annual planning of harvesting resources in the forest industry

2010 ◽  
Vol 17 (2) ◽  
pp. 155-177 ◽  
Author(s):  
David Bredström ◽  
Petrus Jönsson ◽  
Mikael Rönnqvist
Keyword(s):  
Forest Industry ◽  
Annual Planning

Centralizing Integrated Long Range Planning and Budgeting

2011 ◽  
pp. 55-75
Author(s):  
Taylor Valore
Keyword(s):  
Long Range ◽  
State Of The Art ◽  
Technical Aspects ◽  
American University ◽  
Independent Events ◽  
Long Range Planning ◽  
American University In Cairo ◽  
Annual Planning

Upon relocation to a new, state-of-the-art, 260-acre campus outside of Cairo, Egypt, the American University in Cairo (AUC) sought to revamp its annual planning and budgeting processes to address several deficiencies. Primarily, long-range planning and annual budgeting were two independent events with little synchronization. This case study will detail the process and technical aspects of AUC’s transition to a centralized and synchronized planning and budgeting cycle focused on determining appropriate workflows and leveraging database technologies to track planning initiatives throughout an approvals process. Readers will be able to weigh the drawbacks of centralization against the benefits of standardized budget review and planning.

Comparison of Planning and Operational Analysis Procedures for Signalized Intersections from the Highway Capacity Manual

1996 ◽  
Vol 1555 (1) ◽  
pp. 59-64
Author(s):  
Mark R. Virkler ◽  
Shashi Gannavaram ◽  
Anand Ramabhadran
Keyword(s):  
Level Of Service ◽  
Signal Timing ◽  
Highway Capacity ◽  
Operational Procedure ◽  
Highway Capacity Manual ◽  
Operational Analysis ◽  
Planning Procedure ◽  
Adjustment Factors ◽  
Cycle Lengths ◽  
Traffic Signal Timing

The 1994 update of the Highway Capacity Manual (HCM) includes a planning procedure to estimate the capacity condition of a signalized intersection (Xcm). The planning method results can also be extended to a planning application of the more data-intensive HCM operational procedure to estimate intersection critical flow-to-capacity ratio (Xc) and level of service with only planning-level data. Both the planning procedure and the planning application of the operational procedure involve default adjustment factors and synthesized traffic signal timing (called the “default signal timing”). Data from 166 Missouri intersections were used to determine how well the planning approaches predict operational analysis results. In general, the default signal timings had shorter cycle lengths than the timing plans used at pretimed signals. The shorter cycle lengths led to slightly higher flow-to-capacity ratios, since a higher proportion of each cycle was devoted to lost time. The default signal timings also had more equal flow-to-capacity ratios within critical lane groups. The shorter cycle lengths and more equal flow-to-capacity ratios led to a predicted level of service that was the same or better than that calculated for actual conditions. For the subject intersections, locally calibrated default adjustment factors yielded better predictions of flow-to-capacity ratios and level of service than the HCM defaults. The planning value for Xcm was often less than the actual Xc for operational analysis of actual conditions. This was to be expected since Xcm is based on the maximum allowable cycle length. The HCM planning procedure is expected to receive wide use in a variety of planning and design applications. Calibration of appropriate local default values should improve the accuracy of the planning procedure results.

A Multiobjective Model for Regional Planning of Health Facilities

1979 ◽  
Vol 11 (5) ◽  
pp. 517-525 ◽  
Author(s):  
V F Dökmeci
Keyword(s):  
Regional Planning ◽  
Computational Procedure ◽  
Health Centers ◽  
Planning Model ◽  
Regional Center ◽  
Alternative Systems ◽  
Planning Procedure ◽  
Multiobjective Planning ◽  
System Effectiveness ◽  
Facility System

Presented herein is a multiobjective planning model for a regional health-facility system. The system consists of a regional center, intermediate and local hospitals, and health centers. This planning model is based on the maximization of the system effectiveness. A step-by-step planning procedure which includes all interactions among facility levels is applied. First, by means of an iterative algorithm, the sizes and locations are obtained for each chosen number of facilities. Next the optimal system is determined by evaluating alternative systems according to their effectiveness, in terms of cost and utilization criteria. A numerical example is given to illustrate the computational procedure.

Sizing Software of a Solar Farm System

2015 ◽  
Vol 785 ◽  
pp. 611-615
Author(s):  
Nuril Yaqin Ab Rahim ◽  
Shahril Irwan Sulaiman ◽  
Zulkifli Othman
Keyword(s):  
Performance Ratio ◽  
Specific Yield ◽  
Array Configuration ◽  
Pv Module ◽  
Planning Procedure ◽  
In Series ◽  
Final Yield ◽  
Tariff Rates ◽  
And Performance ◽  
Farm System

This paper presents sizing software for the design of a solar farm system. The sizing software provides few guidelines to the designer for the planning procedure before the final of optimum array configuration is decided. Some specifications that the designer may consider are the type of PV module, the type of inverter, the available space for installation, the required energy per year and also the sum of money to be allocated for the instalment. The output result of this software will be the suggestion of possible configuration of the total number of modules in series per string with the total number of strings in parallel. This software also does the prediction of the system performances such as final yield, specific yield and performance ratio. The expected income is provided by the software is based on the Feed-in Tariff rates and the energy generated by the system.

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