• Title/Summary/Keyword: Decision Cost

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Cost-Benefit Analysis in Software Acquisition Decision Making Two Dimensional Approach (소프트웨어 확보 의사결정을 위한 손익계산의 상쇄효과 : 2차원적 접근법)

  • 이동만;장명희
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 1998.03a
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    • pp.169-176
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    • 1998
  • This article investigates the software acquisition problems as two dimensional : custom/pacakage and insource /outsource. The analysis adopts the cost-benefit frame work in explaining software acquisition problems and takes two leveled approach. The first level examines the cost-benefit relationship of the determinants affecting both dimensions, and these determinants are derived from theories of transaction cost, incomplete contracting, and agency. The second level focuses on the impact of general cost-benefit frivers of the software acquisition decisions. The results facilitate a broader and more detailed understanding on the software acquisition problems.

Development on Reconstruction Cost Model for Decision Making of Bridge Maintenance (교량 유지관리 의사결정 지원을 위한 개축비용 산정모델 개발)

  • Sun, Jong-Wan;Lee, Dong-Yeol;Lee, Min-Jae;Park, Kyung-Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.9
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    • pp.533-542
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    • 2016
  • The periodic maintenance of bridges is necessary once they have been constructed and its cost depends on various factors, such as their condition, environmental conditions and so on. To make a decision support system, it is essential to establish a basic reconstruction cost model. In this study, a regression model is suggested for calculating the reconstruction cost for typical cases and influential factors, depending on the type of bridge and its components, by analyzing the basic bridge specifications based on the data of the Bridge Management System (BMS). The details for each case were estimated in consideration of the cost calculation variables. The details for each case were estimated in consideration of the cost calculation variables. The cost model for the new construction of the superstructure, substructure and foundation and the temporary bridge construction and demolition costs were drawn from the regression analysis of the estimation results of typical cases according to the cost calculation variables. The reconstruction costs for different types of bridge were obtained using the cost model and compared with those in the literature. The cost model developed herein is expected to be utilized effectively in maintenance decision making.

Cost and Profit Efficiency of Banks: Stochastic Frontier Analysis vs Data Envelopment Analysis

  • Baten, Md. Azizul;Kasim, Maznah Mat;Rahman, Md. Mafizur
    • Asia-Pacific Journal of Business
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    • v.6 no.2
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    • pp.1-17
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    • 2015
  • This study compares the most widely used parametric and non-parametric techniques to measure cost and profit efficiency of banks, namely the Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA). We formulate the specification form of both stochastic cost and profit frontier models and constant return to scale Cost DEA and Profit DEA models and provide an empirical assessment of the cost and profit frontiers based on a panel dataset of National Commercial Banks (NCBs) and Private Banks (PBs) in Bangladesh over the 2001-2010 period. The cost inefficiency and profit efficiency are slightly higher for PBs than NCBs in case of both SFA and DEA. The coefficients of advance and off-balance sheet items are significant that positively influence the banks in stochastic cost frontier model while the advance, other earning assets, price of borrowed fund are significant and negative effects on the banks in stochastic profit frontier model. The average cost inefficiency and average profit efficiency are recorded with 16.3% and 91% respectively. The highest and lowest cost inefficiency are observed for Janata Bank and United Commercial Bank Limited whilst the highest and lowest profit efficiency are recorded for Eastern Bank Limited and Janata Bank respectively. The average technical and allocative efficiency are 68.8% and 35.9%, respectively in case of CRS cost-DEA model whereas they are 70.3% and 31.8% in case of CRS profit-DEA model. The average cost inefficiency is recorded 6.3% by SFA whereas it is 24.5% by DEA. The average profit efficiency is found 91% by SFA while it is 22.1% by DEA, and SFA method shows better bank efficiency than DEA.

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Developing Technology Influence Matrix to Support Decision-making for Long-life Housing Planning - Focused on Exclusive Housing Unit of Long-life Housing -

  • Song, Sanghoon;Bang, Jong-Dae;Park, Ji-Young
    • KIEAE Journal
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    • v.16 no.1
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    • pp.47-55
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    • 2016
  • Purpose: Long-life housing causes unavoidable cost increase while providing higher durability, flexibility, and repair easiness compare to those of normal apartment. The effectiveness should be evaluated considering the level of passing mandatory Long-life housing Certification System when supplying specific size of apartment complex. Thus, it is essential to identify the estimated costs and the obtainable grade by applying the optional element technologies selectively during the design phase. This study aimed to suggest the technology influence matrix(TIM) to support decision-making of element technologies in planning stage of long-life housing. Method: The technology influence matrix was established based on the property information about applicable element technologies for long-life housing such as construction methods, interface types, cost data, and certification-related characteristics. The usefulness of TIM was verified through case study, in which TIM was applied to the exclusive housing unit and the influences from four areas of quantity, cost, certification, and schedule were identified and calculated. Result: TIMs covering four areas representing the essential planning factors were developed, and are expected to contribute to sound decision-making in planning long-life housing.

A Decision Support System for the Selection of a Rapid Prototyping Process (쾌속조형공정 선정을 위한 지원 시스템)

  • 변홍석;이관행
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.5-8
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    • 2003
  • This paper presents a methodology to be able to select an appropriate RP system that suits the end use of a part. Evaluation factors used in process selection include major attributes such as accuracy, roughness, strength, elongation, part cost and build time that greatly affect the performance of RP systems. Crisp values such as accuracy and surface roughness are obtained with a new test part developed. The test part is designed with conjoint analysis to reflect users' preference. The part cost and build time that have approximate ranges due to cost and many variable parameters are presented by linguistic values that can be described with triangular fuzzy numbers. Based on the evaluation values obtained, an appropriate RP process for a specific part application is selected by using the modified TOPSIS(Technique of Order Preference by Similarity to Ideal Solution) method. It uses crisp data as well as linguistic variables, and each weight on the alternatives is assigned by using pair-wise comparison matrix. The ranking order helps the decision making of the selection of RP systems.

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A Study on the Identification of Key Role Players in Enhancing Port Competitiveness - Focused on Busan Port -

  • Kim, Gil-Soo
    • Journal of Navigation and Port Research
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    • v.31 no.9
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    • pp.801-806
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    • 2007
  • The analytical hierarchy process (AHP) enables decision makers to represent the interaction of multiple factors in complex and unstructured situations. The process requires the decision maker to develop a hierarchical structure of the factors in the given problem and to provide judgments about the relative importance of each of these factors and ultimately to specify a preference for each decision alternative with respect to each factor. The research presented in this paper applies the AHP to identify key players in promoting port competitiveness. The literature survey revealed four major criteria and 15 sub-criteria. The four factors are cost, service quality, facility/capacity and economic-social variable. 150 questionnaires suitable for AHP analysis were made and 77 were returned. It is found that in terms of cost, the first key player is terminal operator and the second key player is shipping companies calling Busan port; in terms of service quality, the first key player is terminal operator, and the second key player is shipping companies calling Busan port; in terms of facility/capacity, the first key player is port authority and the second key player is terminal operator; in terms of economic-social variable, the first key player is terminal operator, and the second key player is shipping companies calling Busan port.

Strategy for Task Offloading of Multi-user and Multi-server Based on Cost Optimization in Mobile Edge Computing Environment

  • He, Yanfei;Tang, Zhenhua
    • Journal of Information Processing Systems
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    • v.17 no.3
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    • pp.615-629
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    • 2021
  • With the development of mobile edge computing, how to utilize the computing power of edge computing to effectively and efficiently offload data and to compute offloading is of great research value. This paper studies the computation offloading problem of multi-user and multi-server in mobile edge computing. Firstly, in order to minimize system energy consumption, the problem is modeled by considering the joint optimization of the offloading strategy and the wireless and computing resource allocation in a multi-user and multi-server scenario. Additionally, this paper explores the computation offloading scheme to optimize the overall cost. As the centralized optimization method is an NP problem, the game method is used to achieve effective computation offloading in a distributed manner. The decision problem of distributed computation offloading between the mobile equipment is modeled as a multi-user computation offloading game. There is a Nash equilibrium in this game, and it can be achieved by a limited number of iterations. Then, we propose a distributed computation offloading algorithm, which first calculates offloading weights, and then distributedly iterates by the time slot to update the computation offloading decision. Finally, the algorithm is verified by simulation experiments. Simulation results show that our proposed algorithm can achieve the balance by a limited number of iterations. At the same time, the algorithm outperforms several other advanced computation offloading algorithms in terms of the number of users and overall overheads for beneficial decision-making.

The Effect of Corporate International Diversification on Cost Stickiness (기업의 국제다각화가 하방경직적인 원가행태에 미치는 영향)

  • Rhee, Chang Seop;Woo, So Hee;Rhee, Hyun Jung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.9
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    • pp.100-107
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    • 2018
  • This study investigated the effect of corporate international diversification on cost stickiness. A cost behavior that indicates a lower rate of cost reduction when the volume of sales decreases than the rate of cost increase when the volume of sales is increased is called cost stickiness. This cost behavior is caused by decisions made by considering the adjusting costs of the manager, and for corporate international diversification, the decision making on the adjustment cost of the manager has been reduced by the offsetting accruals hypothesis. From the empirical results, we observed that the cost stickiness of international diversified companies decreases. It is expected to contribute to the capital market and academia by identifying whether corporate international diversification can have a significant impact on management decision making related to costs.

Customers' Needs Analysis for Investment Decision Making in Residential Facility for Retired Seniors (유료노인주거시설에 대한 투자 의사결정을 위한 수요자 요구 분석)

  • Chin, Mee-Youn;Choi, Jong-Soo
    • Journal of the Korea Institute of Building Construction
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    • v.8 no.2
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    • pp.53-61
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    • 2008
  • It is expected that the market of residential facility for retired seniors will be a new investment field for construction firms. This study describes the questionnaire survey analysis results of potential customers' demand for the facility. For comparison purpose, direct construction cost was estimated by estimation experts. In addition, a case analysis was conducted to compare direct cost and indirect project cost with the experts' estimation. According to the questionnaire survey analysis, it is observed that there were significant differences in demand between groups which are classified by the regions, living expenditures, the level of property ownership and the scales of residence. From an investor's perspective, investment decision on residential facility for retired seniors should be made considering bothe the level of returns which can be generated from the investment and the customers' needs.

Optimal Release Policies of Software System with Scheduled Delivery Time (예정된 인도시기를 가진 Software시스템의 최적방출정책)

  • 정영배;신현재
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.9 no.13
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    • pp.29-32
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    • 1986
  • A decision procedure to determine when computer software should be released after testing is described. This paper extends optimum release policies minimizing the total expected software cost with a scheduled software delivery time under reliability requirement constraint. Such cost considerations enable us to make a release decision as to when transfer a software system from testing phase to operational phase. The underlying model is software reliability growth model described by a nonhomogeneous poisson process. It is assumed that the penalty cost function due to delay for a scheduled software delivery time is linearly proportional to time. Numerical examples are shown to illustrate the results.

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