scholarly journals The Use of Value Engineering in the Evaluation and Selection of Digitization Projects

2007 ◽  
Vol 2 (3) ◽  
pp. 76 ◽  
Author(s):  
Michael H. Boock ◽  
May Chau

Objective - The authors describe a simple and effective tool for selecting digitization projects from competing alternatives, providing decision makers with objective, quantitative data. Methods - The paper adopts the value engineering methodology for the selection, evaluation and ranking of digitization project proposals. Project selection steps are described. Selection criteria are developed. Digitization costs are presented as an equation. Project value is determined by calculating projected performance of digital collections based on the established criteria over cost. Results - Scenarios are presented that evaluate and rank projects based on an evaluation of performance criteria and cost. The communication and use of rating criteria provides selectors with information about how proposed collections are evaluated. The transparency of the process output is easily communicated to stakeholders. Conclusions - Value engineering methodology provides a tool and a process that gives decision makers a set of objective, quantitative data upon which selection of digitization projects is based. This approach simplifies the selection process, and creates transparency so that all stakeholders are able to see why a decision was made.

Author(s):  
Ahmad A. Mousa ◽  
Mohab Hussein ◽  
Ahmed Farouk Kineber

Maintaining and enhancing the functionality of the infrastructure at an affordable cost are major challenges for decision makers, particularly given the need to cope with growing societal and transportation demands. This study introduces a systematic multi-criteria value engineering (VE) approach for the selection of a sustainable bridge system. A thorough VE analysis for a proposed long-span bridge in New Jersey, USA was carried out as a pilot study. The function analysis system technique was used to develop logical relationships between the project’s functions. A detailed 100-year life-cycle cost analysis (LCCA) was conducted. The study developed and evaluated eight alternative designs for deck and superstructure systems against set VE criteria comprising constructability, maintenance strategies, and environmental impact. A relative value index was used as an unbiased measure for the selection of the optimal structural system. With total savings of approximately 21% of the original design ($132.5 million), steel plate girders with a high-performance lightweight steel grid deck system have proven to “outvalue” the other alternatives, including the preferred preliminary alternative (PPA). Design engineers and decision makers can use this methodology as a systematic and convenient guide for the selection of economical and sustainable bridge systems. As such, it is necessary to re-evaluate the current practices and policies used for this purpose.


Author(s):  
Martin Flegl ◽  
Carlos Alberto Jiménez-Bandala ◽  
Carmen Lozano ◽  
Luis Andrade

Selection of personnel in organizations is usually a difficult task. The process gets even more complicated when the selection takes place in complex organizations where different areas can work towards multiple objectives. As many areas might be involved in the selection, the process can become complex and hard to manage. Therefore, it is desirable to use decision-making tools to make the process easier. In this article, we propose new methodology for personnel selection based on Multi-criteria Decision Analysis and the integration of qualitative and quantitative data. We demonstrate the selection process on the case of the Mexican football team selection for the 2018 World Cup in Russia. For the purpose of the article, experts’ opinions are used to evaluate the crucial parameters for the selection.


2020 ◽  
Vol 12 (24) ◽  
pp. 10535
Author(s):  
Thomas Sedlin ◽  
Volker Beckmann ◽  
Rong Tan

Airport projects can have a significant impact on sustainable development. In Germany, as in many other developed countries, airport development is confronting a dilemma because, on the one hand, airports are important infrastructural components and, on the other hand, airport development faces strong resistance from local populations and interest groups. Thus, uncertainties and long time periods, up to 20 years from the beginning of planning to breaking ground, are quite normal. To ease airport development in Germany, administrative procedures and public participation were enhanced. Nevertheless, even with improved public participation, siting decisions in the case of Berlin Brandenburg Airport (BER) were lengthy as usual and remain controversial today due to the selection of Schönefeld as the site. Against this background, it seems that public participation in the case of the BER site selection did not particularly deliver the hoped-for results, but why? To answer this question, Creighton’s principles of effective public participation are employed as benchmarks. Moreover, the benchmarking indicates that public participation was not effectively applied. Thus, the possible benefits of public participation could not or could only be partly reaped. Furthermore, from a broader politico-economic perspective, the analysis exposes that public participation was just “a small cog in the machine” of the BER site selection process. It seems that other factors had a more substantial influence on the siting decision than public participation and led decision makers, in addition to regular challenges, into a predicament that might have made Schönefeld the only possible siting solution. In this context, different counterfactual scenarios are discussed to show under which circumstances other outcomes might have occurred regarding the BER site selection.


1992 ◽  
Vol 2 (3) ◽  
pp. 256-279 ◽  
Author(s):  
John Williams ◽  
Linda Pantili

The selection of a school principal is a very important personnel function in a school system. Considerable effort has been expended by school systems to improve the selection process. In an endeavor to establish objectivity in an apparently subjective procedure for principal selection, the National Association for Secondary School Principals (NASSP) developed an assessment process to enhance the identification and selection of potential school principals. Research studies to date have been individually inconclusive in identifying the best criteria for assessment and selection of school administrators. The primary questions of this study centered on concerns about the criteria used for evaluating leadership potential. First, are NASSP-style assessment centers effective in evaluating desirable criteria for the principalship? Which criteria used in assessment are the most and least correlated with job performance criteria? If the criterion validity of current dimension estimators is relatively low, which alternate criteria might augment the current assessment process? This study used a series of meta-analyses to integrate the factors identified within and outside of the NASSP assessment center process into a consistent theoretical framework for the improvement of principal preparation, assessment, selection and performance. A model for future assessment center programs is then proposed on the basis of this analysis.


2022 ◽  
Vol 14 (1) ◽  
pp. 0-0

This paper proposes an optimization strategy for the best selection process of suppliers. Based on recent literature reviews, the paper assumes a selection of commonly used variables for selecting suppliers, and using Logistic regression algorithm technique, to build a model of optimization that learns from customer’s requirements and supplier’s data, and then make predictions and recommendations for best suppliers. The supplier selection process can quickly at times, turn into a complex task for decision-makers, to dealing with the growing number of supplier base list. But Logistics regression technique makes the process easier in the ability to efficiently fetch customer’s requirements with the entire supplier base list and determine by predicting a list of potential suppliers meeting the actual requirements. The selected suppliers make up the recommendation list for the best suppliers for the requirements. And finally, graphical representations are given to showcase the framework analysis, variable selection, and other illustrations about the model analysis


Author(s):  
Mohd Abbas ◽  
◽  
Mohd Parvez ◽  
Narayan Agarwal ◽  
Rahul Katna ◽  
...  

Cutting fluids are important elements of manufacturing industries and are used in large quantities. But its use poses a serious health issue to the surrounding people working in its atmosphere. Hence, the disposal should be only after neutralization thereby protecting worker and aquatic life. This leads to select an optimal alternative that is not only environmentally friendly but also safe for human beings and aquatic life. Further, it should also perform at par with the mineral oil-based cutting fluid. In the present research, a framework has been proposed to assist the decision-makers in the selection and evaluation of lubricant by the Analytical hierarchical process (AHP) and VIKOR method. In the proposed research three cutting fluids i.e. Neem oil with 5% emulsifier, Neem oil with 10% emulsifier, and a conventional mineral oil-based cutting fluid have been considered as alternatives. These have been evaluated on the basis of different significant parameters like the temperature at the tooltip, surface roughness, and tool wear. The basic aim of this paper is to present the logical selection process of a cutting fluid as well as to show that ranking or choice of cutting fluid may also change if the priority of the parameter is changed.


1979 ◽  
Vol 44 (2) ◽  
pp. 535-544 ◽  
Author(s):  
Louise Arnold ◽  
Virginia Calkins ◽  
Mary Brumwell

In the evaluation of selection of students for medical school, little systematic effort has been given to the influence of the characteristics of decision-makers on the outcomes of the selection process. This paper addresses that issue by exploring whether decision-makers' demographic, social, or psychological characteristics, either singly or together with companion characteristics of applicants, played a role in the final outcomes of the process. The decision-makers were interviewers and admission committee members who selected 80 students from a pool of 245 applicants to a B.A.—M.D. degree program. The findings suggest that future work on selection needs to take the characteristics of decision-makers into account to ascertain a more complete evaluation of the process.


Author(s):  
Soraya Masthura Hasan ◽  
T Iqbal Faridiansyah

Mosque architectural design is based on Islamic culture as an approach to objects and products from the Islamic community by looking at their suitability and values and basic principles of Islam that explore more creative and innovative ideas. The purpose of this system is to help the team and the community in seeing the best mosque in the top order so that the system can be used as a reference for the team and the community. The variables used in the selection of modern mosques include facilities and infrastructure, building structure, roof structure, mosque area, level of security and facilities. The system model used is a fuzzy promethee model that is used for the modern mosque selection process. Fuzzy inference assessment is used to determine the value of each variable so that the value remains at normal limits. Fuzzy values will then be included in promethee assessment aspects. The highest promethee ranking results will be made a priority for the best mosque ranking. This fuzzy inference system and promethee system can help the management team and the community in determining the selection of modern mosques in aceh in accordance with modern mosque architecture. Intelligent System Modeling System In Determining Modern Mosque Architecture in the City of Aceh, this building will be web based so that all elements of society can see the best mosque in Aceh by being assessed by all elements of modern mosque architecture.Keywords: Fuzzy inference system, Promethe, Option of  Masjid


2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.


2021 ◽  
Vol 13 (8) ◽  
pp. 4236
Author(s):  
Tim Lu

The selection of advanced manufacturing technologies (AMTs) is an essential yet complex decision that requires careful consideration of various performance criteria. In real-world applications, there are cases that observations are difficult to measure precisely, observations are represented as linguistic terms, or the data need to be estimated. Since the growth of engineering sciences has been the key reason for the increased utilization of AMTs, this paper develops a fuzzy network data envelopment analysis (DEA) to the selection of AMT alternatives considering multiple decision-makers (DMs) and weight restrictions when the input and output data are represented as fuzzy numbers. By viewing the multiple DMs as a network one, the data provided by each DM can then be taken into account in evaluating the overall performances of AMT alternatives. In the solution process, we obtain the overall and DMs efficiency scores of each AMT alternative at the same time, and a relationship in which the former is a weighted average of the latter is also derived. Since the final evaluation results of AMTs are fuzzy numbers, a ranking procedure is employed to determine the most preferred one. An example is used to illustrate the applicability of the proposed methodology.


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