scholarly journals Optimal Kiln Dry Allocation for Dry Timber Preparation with Minimal Cost and Available Capacity

2019 ◽  
Vol 21 (1) ◽  
pp. 43-48
Author(s):  
Juliet Theresia ◽  
I Gede Agus Widyadana ◽  
Didik Wahjudi
Keyword(s):  
Natural Resources ◽  
Minimum Cost ◽  
Minimal Cost ◽  
Planning And Scheduling ◽  
Total Cost ◽  
Wood Board ◽  
Objective Value ◽  
Two Parameters ◽  
The Cost ◽  
Sawing Process

Optimization models are increasingly developed for planning and scheduling natural resources manufacture. However, the uncertainty of material from natural resources makes it more difficult to develop a model.  In this paper, we concern on the cost of dry timber preparation to finishing sections in a wood-board manufacturer. Based on the characteristic of the material and wood-board production process, we develop two models to a minimize transportation and production cost of wood supply chain which is consist of dry timber preparation process after the sawing process. The models consider facilities capacity, the distance between facilities and drying periods based on timber specification. The model is solved using linear programming, result in drying allocation on the chamber in kiln dry with a minimum cost of the process. A sensitivity analysis is conducted to verify the models and show the effect of variation of two parameters to the objective value. The results show varies of external capacity of kiln dry is more sensitive to total cost than varies of internal capacity.

APPLICATION OF THE JUMPING FROGS METHOD FOR THE OPTIMIZATION OF THREE-LEVEL PLANS OF A MULTIPLE FACTOR EXPERIMENT

2019 ◽  
pp. 35-42
Author(s):  
N. Koshevoy ◽  
E. Kostenko ◽  
V. Muratov
Keyword(s):  
Mathematical Model ◽  
Mathematical Models ◽  
High Speed ◽  
Minimum Cost ◽  
Optimization Method ◽  
Experimental Designs ◽  
Minimal Cost ◽  
Taboo Search ◽  
Time Costs ◽  
The Cost

he planning of the experiment allows us to solve the problem of obtaining a mathematical model with minimal cost and time costs. The cost of implementing an experiment is significantly affected by the order of alternating levels of change in factors. Thus, it is required to find a procedure for the implementation of experiments that provides the minimum cost (time) for conducting a multivariate experiment. This task becomes especially relevant when studying long and expensive processes. The purpose of this article is the further development of the methodology of optimal planning of the experiment in terms of cost (time), which includes a set of methods for optimizing the plans of the experiment and hardware and software for their implementation. Object of study: optimization processes for the cost of three-level plans for multivariate experiments. Subject of research: optimization method for cost and time costs of experimental designs based on the use of the jumping frog method. Experimental research methods are widely used to optimize production processes. One of the main goals of the experiment is to obtain the maximum amount of information about the influence of the studied factors on the production process. Next, a mathematical model of the object under study is built. Moreover, it is necessary to obtain these models at the minimum cost and time costs. The design of the experiment allows you to get mathematical models with minimal cost and time costs. For this, a method and software were developed for optimizing three-level plans using the jumping frog method. Three-level plans are used in the construction of mathematical models of the studied objects and systems. An analysis is made of the known methods for the synthesis of three-level plans that are optimal in cost and time costs. The operability of the algorithm was tested when studying the roughness of the silicon surface during deep plasma-chemical etching of MEMS elements. Its effectiveness is shown in comparison with the following methods: swarm of particles, taboo search, branches and borders. Using the developed method and software for optimizing three-level plans using the jumping frog method, one can achieve high winnings compared to the initial experimental plan, optimal or close to optimal results compared to particle swarm, taboo search, branches and borders methods, and also high speed of solving the optimization problem in comparison with previously developed optimization methods for three-level experimental designs.

Thermoeconomic Optimization of a Combined Heating and Humidification Coil for HVAC Systems

2016 ◽  
Vol 41 (3) ◽  
Author(s):  
Liliana Teodoros ◽  
Bjarne Andresen
Keyword(s):  
Minimum Cost ◽  
Total Cost Of Ownership ◽  
Total Cost ◽  
Air Handling Unit ◽  
Operation Costs ◽  
Cost Of Ownership ◽  
Optimization Function ◽  
Length Width ◽  
The Cost ◽  
The Relationship

AbstractThe total cost of ownership is calculated for a combined heating and humidification coil of an air-handling unit taking into account investment and operation costs simultaneously. This total cost represents the optimization function for which the minimum is sought. The parameters for the cost dependencies are the physical dimensions of the coil: length, width and height. The term “coil” is used generically since in this setup it generates heating as well as humidification in a single unit. The first part of the paper deals with the constructive optimization and finds the relationship between the dimensions for a minimum cost. The second part of the paper takes the results of the constructive optimization further and, based on the data derived in our previous papers, analyzes the minimum total cost for the humidification coil while balancing the amount of water used to humidify the air and modify its temperature.

scholarly journals Two Point Minimum Cost Path Approach for CTA Coronary Centerline Extraction

2008 ◽  
Author(s):  
Coert Metz ◽  
Michiel Schaap ◽  
Theo van Walsum ◽  
Wiro Niessen
Keyword(s):  
Coronary Artery ◽  
Minimum Cost ◽  
Window Function ◽  
Minimal Cost ◽  
Centerline Extraction ◽  
End Point ◽  
Coronary Centerline ◽  
Definition Of ◽  
The Cost

In this work a minimum cost path approach is adopted to extract coronary artery centerlines from CTA data. The algorithm depends on the manual definition of the start and end point of the vessel. The cost image used in the minimal cost path approach is based on a vesselness measure and a smooth window function on intensity. In the majority of the cases the method was able to extract the centerlines successfully (overlap > 90%). Accuracy of the method is around two times the voxelsize of the datasets. To conclude, minimum cost path approaches have potential for coronary artery centerline extraction, but improvements, especially regarding the accuracy of the method, still need investigations.

scholarly journals Linkages between Oil Spill Removal Activities and Natural Resource Damages

1991 ◽  
Vol 1991 (1) ◽  
pp. 377-383
Author(s):  
Richard W. Dunford ◽  
Sara P. Hudson ◽  
William H. Desvousges
Keyword(s):  
Natural Resources ◽  
Oil Spill ◽  
Natural Resource ◽  
Damage Assessment ◽  
Oil Spills ◽  
Oil Pollution ◽  
Open Water ◽  
Total Cost ◽  
The Cost

ABSTRACT The new Oil Pollution Act of 1990 defines natural resource damages from oil spills as the sum of the cost to restore foregone natural resource services, the diminution of value of natural resource services prior to restoration, and damage assessment costs. Natural resource damages are usually determined once removal activities (containment, protection, and cleanup) are completed. Nevertheless, removal activities affect the magnitude of all three natural resource damage components. Consequently, to minimize the total cost of oil spills, decisions on removal activities should consider the linkages between removal activities and natural resource damages. Successful containment results in minimal natural resource damages, because oil generally does far less damage to natural resources in open water than on shore. If oil cannot be contained, the potential natural resource damages from oil coming ashore in certain areas can help determine priorities for protection activities. In particular, oil may harm natural resource services much more in some areas than in others. Furthermore, some natural resource services are more costly to restore and assess than others. Finally, some cleanup activities do more harm than good to natural resource services. If the effects of cleanup activities on natural resource damages are ignored, “excessive” cleanup activities are likely.

scholarly journals Minimizing the cost of a curved corner trapezoidal canal section

2020 ◽  
Author(s):  
Ehab M. Fattouh ◽  
Neveen Y. Saad
Keyword(s):  
Sensitivity Analysis ◽  
Objective Function ◽  
Mathematical Optimization ◽  
Minimum Cost ◽  
Point Of View ◽  
Minimal Cost ◽  
Channel Section ◽  
Trapezoidal Channel ◽  
The Cost

Abstract Designing a curved corner trapezoidal channel section with a minimal cost, which is the study's objective function, encompasses minimizing the channel lining and excavation costs. The discharge, as the prime constraint, and the permissible velocities, as subsidiary constraints, were considered to solve the problem. Mathematical optimization was used to obtain the optimum canal dimensions. The results were represented in chart form to facilitate easy design of the optimal channel dimensions with minimum cost. To demonstrate the practicability of the proposed method, a design example has been included. A comparison between the parameters and the cost of the proposed section with the conventional trapezoidal section revealed that the proposed section is more economic, and more suitable from a maintenance point of view. At last, sensitivity analysis was derived to show the effect of changing the canal dimensions on the cost.

scholarly journals Implementation of Value Engineering in Optimizing Project Cost for Sustainable Energy Infrastructure Asset Development

2020 ◽  
Vol 15 (7) ◽  
pp. 1045-1057
Author(s):  
Sarmad Dashti Latif ◽  
Fathoni Usman ◽  
Bilal M. Pirot
Keyword(s):  
Value Engineering ◽  
Total Cost ◽  
Utility Company ◽  
Asset Development ◽  
Distribution Station ◽  
Objective Value ◽  
The Cost ◽  
Building Project

The purpose of this study is to optimize costs by analyzing a case study of the Energy Utility Company (EUC) project in Malaysia and building the main electric distribution station (MEDS) project specifically. In order to achieve this objective, Value Engineering (VE) technique as one of the proven tools was selected, and three alternatives were applied. The first alternative was to reduce the room sizes of the building. The second alternative was to replace the plaster painting with normal painting, and the last one was to replace painting up to 1.5 meters with 1 meter of the high of walls from the floor. Results approved that the implementation of VE has successfully reduced the cost of the project without compromising the quality of the materials. For the first alternative, 17.1% of the cost was saved. Regarding the second alternative, 69.8% of the total cost for ceiling painting was saved, and for the third alternative, 41.6% of the total cost of walls from the floor was saved. The findings of this research may serve as a guide for engineers, scholars, and constructors to reduce the cost of the building project.

A generalized fuzzy cost efficiency model

2020 ◽  
Vol 54 (6) ◽  
pp. 1775-1791
Author(s):  
Nazila Aghayi ◽  
Samira Salehpour
Keyword(s):  
Cost Efficiency ◽  
Minimum Cost ◽  
Extensive Literature ◽  
Data Envelopment ◽  
Fuzzy Environment ◽  
Decision Making Unit ◽  
Production Possibility Set ◽  
Fuzzy Cost ◽  
The Cost ◽  
Generalized Cost

The concept of cost efficiency has become tremendously popular in data envelopment analysis (DEA) as it serves to assess a decision-making unit (DMU) in terms of producing minimum-cost outputs. A large variety of precise and imprecise models have been put forward to measure cost efficiency for the DMUs which have a role in constructing the production possibility set; yet, there’s not an extensive literature on the cost efficiency (CE) measurement for sample DMUs (SDMUs). In an effort to remedy the shortcomings of current models, herein is introduced a generalized cost efficiency model that is capable of operating in a fuzzy environment-involving different types of fuzzy numbers-while preserving the Farrell’s decomposition of cost efficiency. Moreover, to the best of our knowledge, the present paper is the first to measure cost efficiency by using vectors. Ultimately, a useful example is provided to confirm the applicability of the proposed methods.

Main approaches to estimating the cost of shareholder equity of oil and gas producers

2020 ◽  
Vol 26 (3) ◽  
pp. 685-697
Author(s):  
O.V. Shimko
Keyword(s):  
Oil And Gas ◽  
Oil Prices ◽  
Minimum Cost ◽  
Free Cash Flow ◽  
Annual Reports ◽  
Comparative Approach ◽  
Economic Activities ◽  
Advantages And Disadvantages ◽  
Oil And Gas Producers ◽  
The Cost

Subject. The study analyzes generally accepted approaches to assessing the value of companies on the basis of financial statement data of ExxonMobil, Chevron, ConocoPhillips, Occidental Petroleum, Devon Energy, Anadarko Petroleum, EOG Resources, Apache, Marathon Oil, Imperial Oil, Suncor Energy, Husky Energy, Canadian Natural Resources, Royal Dutch Shell, Gazprom, Rosneft, LUKOIL, and others, for 1999—2018. Objectives. The aim is to determine the specifics of using the methods of cost, DFC, and comparative approaches to assessing the value of share capital of oil and gas companies. Methods. The study employs methods of statistical analysis and generalization of materials of scientific articles and official annual reports on the results of financial and economic activities of the largest public oil and gas corporations. Results. Based on the results of a comprehensive analysis, I identified advantages and disadvantages of standard approaches to assessing the value of oil and gas producers. Conclusions. The paper describes pros and cons of the said approaches. For instance, the cost approach is acceptable for assessing the minimum cost of small companies in the industry. The DFC-based approach complicates the reliability of medium-term forecasts for oil prices due to fluctuations in oil prices inherent in the industry, on which the net profit and free cash flow of companies depend to a large extent. The comparative approach enables to quickly determine the range of possible value of the corporation based on transactions data and current market situation.

A claims problem approach to the cost allocation of a minimum cost spanning tree

2021 ◽  
Author(s):  
José-Manuel Giménez-Gómez ◽  
Josep E. Peris ◽  
Begoña Subiza
Keyword(s):  
Spanning Tree ◽  
Cost Allocation ◽  
Minimum Cost ◽  
Claims Problem ◽  
The Cost

scholarly journals The Development of Patient Scheduling Groups for an Effective Appointment System

2016 ◽  
Vol 07 (01) ◽  
pp. 43-58 ◽  
Author(s):  
Yu Li Huang
Keyword(s):  
Access To Care ◽  
Treatment Time ◽  
Optimization Technique ◽  
Urgent Care ◽  
Patient Scheduling ◽  
Total Cost ◽  
Patient Type ◽  
Clinic Efficiency ◽  
The Cost ◽  
The Impact

SummaryPatient access to care and long wait times has been identified as major problems in outpatient delivery systems. These aspects impact medical staff productivity, service quality, clinic efficiency, and health-care cost.This study proposed to redesign existing patient types into scheduling groups so that the total cost of clinic flow and scheduling flexibility was minimized. The optimal scheduling group aimed to improve clinic efficiency and accessibility.The proposed approach used the simulation optimization technique and was demonstrated in a Primary Care physician clinic. Patient type included, emergency/urgent care (ER/UC), follow-up (FU), new patient (NP), office visit (OV), physical exam (PE), and well child care (WCC). One scheduling group was designed for this physician. The approach steps were to collect physician treatment time data for each patient type, form the possible scheduling groups, simulate daily clinic flow and patient appointment requests, calculate costs of clinic flow as well as appointment flexibility, and find the scheduling group that minimized the total cost.The cost of clinic flow was minimized at the scheduling group of four, an 8.3% reduction from the group of one. The four groups were: 1. WCC, 2. OV, 3. FU and ER/UC, and 4. PE and NP. The cost of flexibility was always minimized at the group of one. The total cost was minimized at the group of two. WCC was considered separate and the others were grouped together. The total cost reduction was 1.3% from the group of one.This study provided an alternative method of redesigning patient scheduling groups to address the impact on both clinic flow and appointment accessibility. Balance between them ensured the feasibility to the recognized issues of patient service and access to care. The robustness of the proposed method on the changes of clinic conditions was also discussed.

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