Conjoining an Input-Output Model and a Policy Analysis Model: A Case Study of the Regional Economic Effects of Expanding a Port Facility

1981 ◽  
Vol 13 (8) ◽  
pp. 1029-1038 ◽  
Author(s):  
B H Stevens ◽  
G I Treyz ◽  
J K Kindahl
Keyword(s):  
Policy Analysis ◽  
Simulation Models ◽  
Economic Effects ◽  
Input Output ◽  
Analysis Model ◽  
General Applicability ◽  
Distinctive Features ◽  
The Cost ◽  
Port Facility

A 484-sector Massachusetts static input-output (MIO) model is conjoined with the Massachusetts Economic Policy Analysis (MEPA) model which includes supply relationships, industrial location responses to changing costs, and a production function allowing substitution among inputs. This makes it possible to draw upon the distinctive features of both models. The technique is demonstrated by a study that analyzes the effect on the Massachusetts economy of the expansion of a container port facility at Boston. The approach presented here has general applicability to policy analysis and planning studies that require both the detailed regional interindustry interactions captured by a disaggregated input-output model and the cost, price, supply, location, and demand interdependencies which are endogenous in the best regional forecasting and policy simulation models.

The Use of Simulation Models in Policy Analysis: An Australian Case Study

1988 ◽  
Vol 1 (3) ◽  
pp. 33-37
Author(s):  
P L Galbraith
Keyword(s):  
Policy Analysis ◽  
Simulation Models ◽  
Australian Case

scholarly journals THE EFFECT OF CLIMATE CHANGE ON THE COST OF DAIRY FARMS IN TURKEY; CASE STUDY OF THRACE REGION

New Medit ◽  
2019 ◽  
Vol 18 (3) ◽  
pp. 31-46
Author(s):  
Gökçe Koç ◽  
Ayse Uzmay
Keyword(s):  
Climate Change ◽  
Dairy Farms ◽  
Economic Effects ◽  
Dairy Farmers ◽  
Investment Projects ◽  
The Cost ◽  
Cattle Farms ◽  
Thrace Region ◽  
Impacts Of Climate Change

In Turkey, studies investigating the economic effects of climate change on agriculture are limited and there is little or no research that focuses on livestock production as regards changes in climate. In this context, the main objective of this research is to analyze the impacts of climate change on dairy cattle farms in terms of costs, according to different future scenarios and farms scales. Interviews were conducted with 140 dairy farmers in Thrace Region. To analyze the change in costs, the model developed by Calil et al. (2012) was used. According to the results of cost analysis, it was determined that climate change will lead to a 10-50% cost increase on dairy farms by the year 2044. The heat stress is responsible for 48-71% of the increase in the cost of production, where 24-52% is due to an increase in feed prices. Based on the outcome of this research, it was suggested that agricultural extension activities should be carried out in order for farms to get adapted to climate change. Agricultural supports and investment projects should be related to climate change.

scholarly journals Management of Energy Recourses, Marginal Input- Output Coefficients, and Layers of Techniques: A Case Study of US Chemical Industry

2007 ◽  
Vol 46 (4II) ◽  
pp. 517-536 ◽  
Author(s):  
Toseef Azid ◽  
Mumtaz Anwar ◽  
M. Junaid Khawaja
Keyword(s):  
Interest Rates ◽  
Input Output ◽  
Change Over Time ◽  
New Approach ◽  
Price Structure ◽  
Fixed Price ◽  
Current Price ◽  
The Cost ◽  
Over Time

The embodied technical change should reduce the cost of production of the commodity. However, price structure, wages and interest rates also will change over time. Thus if a commodity is following a fixed price regime, the adjustment of a historical input-output table to current price wage level will leaves less and less profit per unit of output. The extent of this reduction will indicate the extent of technological change. There are different approaches to the prediction of changes in input-output coefficients. The first approach, attributable to Leontief (1941) and Stone (1962), assumes that input-output matrices change over time in a “biproportional” way. The other approach is to estimate trends in individual coefficients using statistical data. Former approach is used by a number of experts, including Fontela, et al. (1970), Almon, et al. (1974) and Carter (1970). Arrow and Hoffenberg (1959), Henry (1974), Savaldson (1970, 1976), Ozaki (1976), Aujac (1972) and Buzunov (1970). These are examples of the application of the quantitative approach for forecasting input-output coefficients. Still another approach which could not get much attention for forecasting input-output coefficients, is constructing the marginal input-output coefficients [Tilanus (1967); Middelhoek (1970)]. Marginal coefficients for forecasting constructed by Tilanus and Middelhoek are based on average input-output tables, which shows that still new approach (marginal) is based on the old (average) one

scholarly journals Localizer-to-Mapper Knowledge Transfer: Real-time Diagnosis of Deep SLAM in Everyday Navigation

2021 ◽  
Author(s):  
kanji tanaka
Keyword(s):  
Neural Networks ◽  
Fault Diagnosis ◽  
Real Time ◽  
Deep Neural Networks ◽  
Black Box ◽  
Input Output ◽  
Diagnosis Algorithm ◽  
The Cost ◽  
Time Diagnosis

In this study, we address a novel "domain-shift localization (DSL)" problem, by which "user robots" of a deep SLAM system localize a domain-shifted region in the robot workspace during their daily navigation. Furthermore, we present a case study pertaining to a simple deep SLAM system comprising a visual place classifier and visual odometry as exteroceptive and proprioceptive modules, respectively. Such a DSL method enables "mapper robots" to focus on available resources (e.g., time, energy, and computation) in the domainshifted region, rather than the entire workspace, thereby significantly reducing the cost of per-domain DNN maintenance. Unlike conventional scenarios of SLAM diagnosis, the deep SLAM system comprises deep neural networks (DNNs) with black-box characteristics, which render it difficult to directly diagnose the internal signals of SLAM modules. Hence, we present a novel diagnosis algorithm that does not rely on internal signals but uses only the input/output signals of DNNs as input to DSL. Experiments demonstrate that, compared with a vanilla deep SLAM system that does not reflect fault diagnosis, the proposed deep SLAM framework can achieve a path that is more similar to the actual measured GPS path. This study is a first step towards a real-time approach to diagnose aging of deep SLAM systems.

The Cost the Non-Compliance to the Legal Requirements in a Public Work in the Field of Civil Construction Industry: a Case Study

2014 ◽  
Vol 5 (5) ◽  
pp. 163
Author(s):  
Marcelo C. P. De Souza ◽  
Thays P. Silveira ◽  
Rodrigo Eduardo Catai
Keyword(s):  
Construction Industry ◽  
Legal Requirements ◽  
Public Work ◽  
The Cost

Developing Schedule With Linear Programming (Case Study: STTF II Project Komplek Sukamukti Banjaran)

2020 ◽  
Vol 4 (02) ◽  
pp. 34-45
Author(s):  
Naufal Dzikri Afifi ◽  
Ika Arum Puspita ◽  
Mohammad Deni Akbar
Keyword(s):  
Linear Programming ◽  
Objective Function ◽  
Project Scheduling ◽  
Time Limit ◽  
Minimum Time ◽  
Service Cost ◽  
Trade Off ◽  
Overtime Work ◽  
The Cost

Shift to The Front II Komplek Sukamukti Banjaran Project is one of the projects implemented by one of the companies engaged in telecommunications. In its implementation, each project including Shift to The Front II Komplek Sukamukti Banjaran has a time limit specified in the contract. Project scheduling is an important role in predicting both the cost and time in a project. Every project should be able to complete the project before or just in the time specified in the contract. Delay in a project can be anticipated by accelerating the duration of completion by using the crashing method with the application of linear programming. Linear programming will help iteration in the calculation of crashing because if linear programming not used, iteration will be repeated. The objective function in this scheduling is to minimize the cost. This study aims to find a trade-off between the costs and the minimum time expected to complete this project. The acceleration of the duration of this study was carried out using the addition of 4 hours of overtime work, 3 hours of overtime work, 2 hours of overtime work, and 1 hour of overtime work. The normal time for this project is 35 days with a service fee of Rp. 52,335,690. From the results of the crashing analysis, the alternative chosen is to add 1 hour of overtime to 34 days with a total service cost of Rp. 52,375,492. This acceleration will affect the entire project because there are 33 different locations worked on Shift to The Front II and if all these locations can be accelerated then the duration of completion of the entire project will be effective

Perancangan dan Pembuatan Alat Bantu Meja Putar untuk Mesin Cnc 4 Axis

2016 ◽  
Vol 10 (2) ◽  
pp. 162-171
Author(s):  
Hafid Hafid ◽  
Tatang Sutisna
Keyword(s):  
Processing Time ◽  
Rotary Table ◽  
Engineering Process ◽  
Cnc Machine ◽  
Economical Analysis ◽  
Machining Center ◽  
Design And Manufacturing ◽  
The Cost ◽  
Productivity And Competitiveness

The design and manufacturing of the rotary table with the specification Ø 170 mm (6 inches) for CNC machine 4 axis has been done. The objective of manufacturing a rotary table is to increase the efficiency of CNC machine Hardford 4 axis to be above 80% in line machining center CV. IM’s workshop. The engineering methods was taken, consist of: working preparation, manufacturing of working drawing, engineering process, the manufacturing and testing. The prototype has been tested and operated, the resulting of increasing productivity of which were as follows: the process of assembling was increased to be 3 time ( before 1 time) and processing time for a specific case reduced from 5 hours to 3 hours, number of operators for the case of assembling the rotary reduced to 1 person (before 4 persons), safety and security become to be better. The results show increased efficiency of CNC machine Hardford, from under 50% to be above 80%. Based on the economical analysis obtained by the cost of good sold (C.G.S) of the rotary table is IDR 34.060.000. The results presented in this paper is expected to be case study for developing a business of the metal and engineering SMEs domestic to the effort of improving efficiency, quality, productivity and competitiveness in global market.ABSTRAKPerancangan dan pembuatan alat bantu meja putar (rotary table) dengan spesifikasi teknis Ø 170 mm (6 inci) untuk mesin CNC 4 axis telah dilakukan. Tujuan pembuatan rotary table adalah untuk meningkatkan efisiensi mesin CNC Hardford 4 axis di atas 80% pada line machining center Bengkel CV. IM. Metode rancang bangun yang dilakukan, meliputi: persiapan kerja, pembuatan gambar kerja, proses engineering, pembuatan dan uji coba. Prototip tersebut telah diuji coba dan dioperasikan dengan hasil peningkatan produktivitas sebagai berikut: proses pengerjaan bongkar pasang meningkat menjadi 3 kali (sebelumnya 1 kali) dan waktu pengerjaan untuk kasus tertentu berkurang dari 5 jam menjadi 3 jam, jumlah operator untuk kasus bongkar pasang rotary berkurang menjadi 1 orang (sebelumnya 4 orang), keselamatan kerja dan keamanan menjadi lebih baik. Hasil peningkatan berupa efisiensi mesin CNC Hardford 4 axis dari sebelumnya di bawah 50% menjadi di atas 80%. Berdasarkan hasil perhitungan analisis ekonomi diperoleh harga pokok produksi (HPP) alat bantu meja putar adalah sebesar Rp. 34.060.000. Bahasan ini diharapkan menjadi contoh kasus bagi pengembangan usaha IKM logam dan mesin dalam negeri untuk meningkatkan efisiensi, mutu, produktivitas dan keunggulan daya saing di pasar global.Kata kunci: alat bantu meja putar, mesin CNC, harga pokok produksi

The Internal and External Economic Effects of Smart Tourism City, Busan : Analysis Using an Inter-Regional Input-Output Model

2019 ◽  
Vol 31 (4) ◽  
pp. 87-101
Author(s):  
Hyunae Lee ◽  
Sung Byung Yang ◽  
Namho Chung
Keyword(s):  
Economic Effects ◽  
Input Output ◽  
Smart Tourism

Case Study—Failure Analysis of a Multiplexer

2016 ◽  
Author(s):  
Michael Woo ◽  
Marcos Campos ◽  
Luigi Aranda
Keyword(s):  
Failure Analysis ◽  
High Reliability ◽  
Component Failure ◽  
Root Cause ◽  
Knowing That ◽  
Cause Of Failure ◽  
The Cost

Abstract A component failure has the potential to significantly impact the cost, manufacturing schedule, and/or the perceived reliability of a system, especially if the root cause of the failure is not known. A failure analysis is often key to mitigating the effects of a componentlevel failure to a customer or a system; minimizing schedule slips, minimizing related accrued costs to the customer, and allowing for the completion of the system with confidence that the reliability of the product had not been compromised. This case study will show how a detailed and systemic failure analysis was able to determine the exact cause of failure of a multiplexer in a high-reliability system, which allowed the manufacturer to confidently proceed with production knowing that the failure was not a systemic issue, but rather that it was a random “one time” event.

Sign in / Sign up

Export Citation Format

Share Document