Forest Harvesting Equipment Ownership and Operating Costs in 1984

1986 ◽  
Vol 10 (1) ◽  
pp. 10-15 ◽  
Author(s):  
Dennis A. Werblow ◽  
Frederick W. Cubbage
Keyword(s):  
Fuel Consumption ◽  
Operating Cost ◽  
Forest Harvesting ◽  
Cost Data ◽  
Operating Costs ◽  
Fixed Costs ◽  
Historical Records ◽  
The South ◽  
Consumption Data ◽  
Harvesting Systems

Abstract Forest harvesting equipment purchase costs in 1984 were determined by a survey of equipment dealers and manufacturers operating in the South. Based on delivered purchase prices, fixed costs for equipment ownership were calculated using machine rate formulas. Equipment operating costs were estimated based on general guidelines, fuel consumption data, and historical records. The fixed and operating cost data can be used when considering equipment investments and analyzing actual or potential harvesting systems.

scholarly journals Economic and Productive Assessment of an Ordinary Small-Sized Dairy Enterprise in Southeast Brazil: A Multi-Year Study

2017 ◽  
Vol 9 (8) ◽  
pp. 143
Author(s):  
Severino D. J. Villela ◽  
Leandro P. Assis ◽  
Marcos A. Lopes ◽  
Luiz H. A. Silvestre ◽  
Roseli A. Santos ◽  
...  
Keyword(s):  
Milk Production ◽  
Economic Performance ◽  
Operating Cost ◽  
Operating Costs ◽  
Fixed Costs ◽  
Production Parameters ◽  
Southeast Brazil ◽  
High Profit ◽  
General Production ◽  
Break Even Point

The objectives were to analyze the economic performance over time of a dairy enterprise located in southeast Brazil and to identify the key production parameters that contributed to economic performance, using a 10-year database. Two distinct approaches to evaluate production cost were analyzed. Briefly, the first approach involves variable and fixed costs (more traditional economic analysis), and the second involves total operating cost, consisting of effective operating costs and depreciation. From these two distinct approaches, we obtain as economic indicators the profitability I and profitability II, respectively. In addition, correlation between economic and productivity parameters was performed. Considering the first approach, revenue was not sufficient to cover the total cost and on average profitability I was negative. During three years, the break-even point was not achieved. Considering the second approach, gross profit margin was positive throughout the period, and consequently profitability II was positive. In general, production parameters were within the ordinary range observed in small-sized Brazilian dairy farms. From the correlations between economic and production parameters, we noted that correlation between average milk production per lactating cow and both measures of profit was present, indicating that if the average milk production per lactating cow was high, profit was positive. We conclude that this type of evaluation is important to assess the performance of a business, and consequently, for decision-making of dairy producers.

scholarly journals EVALUATION OF COSTS OF HARVESTER IN CUT AND PROCESSING OF EUCALYPTUS WOOD1

2017 ◽  
Vol 41 (5) ◽  
Author(s):  
Larissa Nunes dos Santos ◽  
Haroldo Carlos Fernandes ◽  
Remo Macieira Figueiredo Silva ◽  
Márcio Lopes da Silva ◽  
Amaury Paulo de Souza
Keyword(s):  
Sensitivity Analysis ◽  
Financial Analysis ◽  
Operating Cost ◽  
Forest Harvesting ◽  
Operating Costs ◽  
Total Cost ◽  
Wood Processing ◽  
Planning And Control ◽  
Hours Of Work ◽  
And Control

ABSTRACT Before performing any financial analysis costs must be calculated. These costs should allow the planning and control over the use of the machines as well as the comparison between different investments alternatives since this is easily calculated. Generally the operating costs of forest harvesting machines are estimated until the maximum of 25,000 hours of work, and it is not possible to know whether the activity remains profitable thereafter or not. For this reason the objective of this study was to evaluate the costs from cutting activities and wood processing carried out by a forestry tractor harvester up to approximately 30,000 hours of work. Ten forest machines composed of two models of harvester (John Deere, model 1270D and 1470D) were used. A spreadsheet provided by a forestry company located in the state of Minas Gerais, containing the necessary data to estimate the operating cost of the machines and subsequent achievement of the sensitivity analysis was used. The operating cost was obtained by the sum of the fixed and variable costs. For sensitivity analysis the variation ± 20% of the most representative elements of the total cost of the machine was performed. The results for the operating cost of the harvester and forwarder was U.S. $ 190.85 h-1. Costs for repairs and maintenance, labor, fuel, and depreciation represented approximately 90% of the total cost of the machine. Despite the fact that the age of the machine has a direct influence on its operating cost, the costs did not behave in a linear fashion over the years.

scholarly journals Analysis of operating cost variability in selected sectors of the Czech Republic for the period 2007–2010

2012 ◽  
Vol 60 (2) ◽  
pp. 165-174
Author(s):  
Martin Landa
Keyword(s):  
Cost Model ◽  
Operating Cost ◽  
Essential Element ◽  
Operating Costs ◽  
Substantial Part ◽  
Fixed Costs ◽  
Economic Sectors ◽  
Cost Variability ◽  
The Relationship ◽  
Business Sectors

One of the major approaches to the analysis of economic performance is the concept of variable and fixed costs. This concept analyzes the relationship between corporate costs and profits. The tightness of this relationship (i.e. the costs variability rate) is an essential element of cost and profit management in different periods of a business life cycle. The type of business activity (production, trade and services) has a significant influence on the relationship between costs and profit (in particular of the operating type). This relationship can be examined mainly on the basis of the financial development of economic sectors. This article deals with the relationship between operating costs and operating profits in selected business sectors. For the analysis, the concept of synthetic and analytic cost model is used. The tightness of the relationship between operating costs and operating profits is determined by the method of correlation analysis. The quarterly data on the development of the Czech economy for the period of 2007–2010 represent the basis of the analysis; this period includes a phase of growth, of decline and of stagnation. The analysis of the costs variability allows us to understand the behavior of the “average” companies in various sectors in creating their costs and their management with the aim of achieving a profit. The results of the analysis show that the most companies are able to “control” their operating costs significantly in the relation to realized outputs; at the same time this means that a substantial part of the operating costs has a character of variable costs.

scholarly journals Optimal placement design for picking and packing in distribution centers

2021 ◽  
Vol 13 (4) ◽  
pp. 168781402110106
Author(s):  
John Rios ◽  
Rodrigo Linfati ◽  
Daniel Morillo-Torres ◽  
Iván Derpich ◽  
Gustavo Gatica
Keyword(s):  
Optimal Allocation ◽  
Programming Model ◽  
Operating Cost ◽  
Nonlinear Integer Programming ◽  
Operating Costs ◽  
Optimal Placement ◽  
Distribution Centers ◽  
Suitable Space ◽  
Efficient Distribution

An efficient distribution center (DC) is one that receives, stores, picks and packs products into new logistics units and then dispatches them to points of sale at the minimal operating cost. The picking and packing processes represent the highest operating cost of a DC, and both require a suitable space for their operation. An effective coordination between these zones prevents bottlenecks and has a direct impact on the DC’s operational results. In the existing literature, there are no studies that optimize the distribution of the picking and packing areas simultaneously while also reducing operating costs. This article proposes an integer nonlinear integer programming model that minimizes order preparation costs. It does so by predicting customer demand based on historical data and defining the ideal area for picking and packing activities. The model is validated through a real case study of seven clients and fifteen products. It achieves a [Formula: see text] reduction in operating costs when the optimal allocation of the picking and packing areas is made.

APEKS - a method of making decisions

2021 ◽  
Vol 12 (1) ◽  
pp. 45-50
Author(s):  
Jan Szybka ◽  
Sylwester Pabian
Keyword(s):  
Fuel Consumption ◽  
Evaluation Criteria ◽  
Operating Costs ◽  
Passenger Car ◽  
Utility Values ◽  
Decision Method ◽  
Individual Comparison ◽  
Wide Range ◽  
Aesthetic Values ◽  
Selection Of

The APEKS method was developed in the 1970s. It has a wide range of applications for making a decision. The article describes the APEKS method, which is a multi-criteria method and consists of 10 steps. The application of this method was presented in the example of car selection. The problem of choosing a passenger car was analyzed taking into account 6 evaluation criteria: fuel consumption, power, price, annual operating costs, aesthetic values, and utility values. Following the APEKS method, the analysis was completed with the selection of the best variant, using the forced decision method, consisting of an individual comparison of all criteria with one another. The APEKS variant is used for this, which has all the best features of the variants to choose from. This indicates that APEKS is an idealized and fictional variant.

Optimum Conditions for the Operation of Airline Aircraft

1953 ◽  
Vol 57 (516) ◽  
pp. 823-824
Author(s):  
J. M. Stephenson
Keyword(s):  
Fuel Consumption ◽  
Operating Cost ◽  
Practical Case ◽  
Optimum Conditions ◽  
Realistic Approach ◽  
Direct Operating Cost ◽  
Usual Concept ◽  
Airline Company

In A. H. Stratford's interesting note in the August Journal, he assumes that an airline is presented with an aircraft of given performance, and must decide what is the best range for it to fly. Surely the practical case is the exact opposite: that an operator wishes to carry passengers or freight between two given points, and must choose between perhaps three or four available types of aircraft. Moreover, it is up to the operator to tell the manufacturers which feature he wants improved (e.g. fuel consumption, take-off distance, and so on), when he is ready to order replacements.Secondly, Mr. Stratford wishes to replace the usual concept of direct operating cost per payload ton mile by that of per cent, profit, as a measure of the efficiency of operation over a certain route. While this may be a more realistic approach to the problem of a private airline company, operating over a single route, its merit is not so obvious for the large national or subsidised airlines, which are often required to fly unprofitable routes.

scholarly journals A Firefly Algorithm Optimization-Based Equivalent Consumption Minimization Strategy for Fuel Cell Hybrid Light Rail Vehicle

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2665 ◽  
Author(s):  
Han Zhang ◽  
Jibin Yang ◽  
Jiye Zhang ◽  
Pengyun Song ◽  
Xiaohui Xu
Keyword(s):  
Fuel Cell ◽  
Fuel Consumption ◽  
Firefly Algorithm ◽  
Operating Cost ◽  
Operating Mode ◽  
Light Rail ◽  
Power Sources ◽  
Rail Vehicle ◽  
Mode Control ◽  
Equivalent Consumption Minimization Strategy

To coordinate multiple power sources properly, this paper presents an optimal control strategy for a fuel cell/battery/supercapacitor light rail vehicle. The proposed strategy, which uses the firefly algorithm to optimize the equivalent consumption minimization strategy, improves the drawback that the conventional equivalent consumption minimization strategy takes insufficient account of the global performance for the vehicle. Moreover, the strategy considers the difference between the two sets of optimized variables. The optimization objective is to minimize the daily operating cost of the vehicle, which includes the total fuel consumption, initial investment, and cycling costs of power sources. The selected case study is a 100% low-floor light rail vehicle. The advantages of the proposed strategy are investigated by comparison with the operating mode control, firefly algorithm-based operating mode control, and equivalent consumption minimization strategy. In contrast to other methods, the proposed strategy shows cost reductions of up to 39.62% (from operating mode control), 18.28% (from firefly algorithm-based operating mode control), and 13.81% (from equivalent consumption minimization strategy). In addition, the proposed strategy can reduce fuel consumption and increase the efficiency of the fuel cell system.

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