scholarly journals Assessment and Selection of Technologies for the Sustainable Development of an R&D Center

2020 ◽  
Vol 12 (23) ◽  
pp. 10087
Author(s):  
Rafael Lizarralde ◽  
Jaione Ganzarain ◽  
Mikel Zubizarreta

The central role of R&D centers in the advancement of technology within industrial enterprises is undeniable and clearly affects their strategies, their competitiveness and their business sustainability. R&D centers assume responsibility for technology recognition, collection, acquisition, development and transition. Among their activities, the efficient choice of emerging technologies in the Technology Management Process is becoming a real challenge. In such heterogeneous scenarios, Multiple Criteria Decision Making (MCDM) models are commonly proposed as an appropriate decision-making approach. Multiple research works address the selection of particular technologies in industrial applications, but very few references can be found related to research institutions, and R&D centers in particular. Therefore, a decision-making model is provided in this study following the MIVES multi criteria method for the assessment of one or more technologies. The model is then applied to two case studies related to the selection process of new technologies at a Spanish R&D Center specialized in manufacturing.

2019 ◽  
Vol 84 ◽  
pp. 49-58 ◽  
Author(s):  
Gabrijela Popovic ◽  
Dragisa Stanujkic ◽  
Miodrag Brzakovic ◽  
Darjan Karabasevic

2012 ◽  
Vol 18 (6) ◽  
pp. 834-842 ◽  
Author(s):  
Edmundas Kazimieras Zavadskas ◽  
Saulius Sušinskas ◽  
Alfonsas Daniūnas ◽  
Zenonas Turskis ◽  
Henrikas Sivilevičius

Numerous alternatives exist for foundation systems and construction technologies. The systems can be described by different criteria values which are incorporated in the conventional design process. Decision on the most suitable construction technology is vital for success and depends on many effectiveness criteria. The business success depends on the right choice. The mandate of a construction management researcher is to use rational, systematic, science-based techniques to inform and improve various decisions. The paper presents multiple criteria decision making model for selection of a pile-column technology. The technological criteria are determined by an experimental study. Based on in-situ investigation of natural soil conditions, criteria values are determined. The decision making model incorporates five different methods and techniques. To solve a problem, it uses three multiple criteria decision making methods. Integrated criteria weights are determined by using the analytic hierarchy process and the expert judgement method. This model could be used to solve complicated problems pertaining to the selection of a construction technology.


2016 ◽  
Vol 29 (4) ◽  
pp. 65-81 ◽  
Author(s):  
Maria Manuela Cruz-Cunha ◽  
Joaquim P. Silva ◽  
Joaquim José Gonçalves ◽  
José António Fernandes ◽  
Paulo Silva Ávila

Selecting the best desirable Enterprise Resources Planning (ERP) system has been a critical problem for organizations for a long time, as the failure on the selection process may have a highly negative impact in terms of costs and market share of a company. It is one of the most important decision making issues covering both qualitative and quantitative factors for organization. Multiple-criteria decision-making has been proved to be a useful approach to analyze these conflicting qualitative and quantitative factors. Literature offers proposals and approaches to handle this kind of problem; Analytic Hierarchy Process (AHP) has been applied successfully in most cases of software packages selection problems. This paper proposes an AHP model for the selection of an ERP system. The model's set of criteria was extracted from the literature review and validated by Portuguese organizations. This model can be applied in the ERP system selection using a software application that is under development. This software application eases the application of the AHP process to the selection of ERP packages and will provide input from real-world cases that will allow updating and refining the model.


Author(s):  
Maria Manuela Cruz-Cunha ◽  
Joaquim P. Silva ◽  
Joaquim José Gonçalves ◽  
José António Fernandes ◽  
Paulo Silva Ávila

Selecting the best desirable Enterprise Resources Planning (ERP) system has been a critical problem for organizations for a long time, as the failure on the selection process may have a highly negative impact in terms of costs and market share of a company. It is one of the most important decision making issues covering both qualitative and quantitative factors for organization. Multiple-criteria decision-making has been proved to be a useful approach to analyze these conflicting qualitative and quantitative factors. Literature offers proposals and approaches to handle this kind of problem; Analytic Hierarchy Process (AHP) has been applied successfully in most cases of software packages selection problems. This paper proposes an AHP model for the selection of an ERP system. The model's set of criteria was extracted from the literature review and validated by Portuguese organizations. This model can be applied in the ERP system selection using a software application that is under development. This software application eases the application of the AHP process to the selection of ERP packages and will provide input from real-world cases that will allow updating and refining the model.


2021 ◽  
Vol 8 (5) ◽  
pp. 879
Author(s):  
Dyna Marisa Khairina ◽  
Indra Cahya Pramukti ◽  
Heliza Rahmania Hatta ◽  
Septya Maharani

<p class="Abstrak">Kesulitan dalam mencari bibit unggul pada ternak sapi bali, menyebabkan bibit unggul yang terpilih semakin tidak produktif dalam hal penggemukan ternak. Penentuan bibit unggul pada ternak sapi bali merupakan hal yang sangat krusial bagi para pengambil keputusan yang terkait dalam hal ini adalah peternak sapi bali. Jika tidak dilakukan secara tepat dan akurat, maka pemilihan bibit unggul  pada sapi bali yang keliru seringkali mengakibatkan berbagai permasalahan. Model pengambilan keputusan dapat digunakan untuk membantu manusia khususnya peternak sapi dalam mengambil keputusan. Metode <em>Weighted Product</em> adalah metode yang sangat efektif dan efisien dalam pemilihan bibit unggul, karena waktu yang diperlukan untuk perhitungan jauh lebih singkat. Tujuan penelitian ini adalah membuat suatu model pengambilan keputusan untuk pemilihan bibit unggul terbaik pada ternak sapi bali. Adapun model pengambilan keputusan ini membantu memberikan rekomendasi kepada peternak dalam proses pemilihan bibit unggul sapi bali sebagai bahan pertimbangan dalam memilih secara tepat, akurat dan mempermudah proses pemilihan dengan keputusan terbaik.</p><p class="Abstrak"> </p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Abstract"><em>The difficulty to look for superior seeds of Bali cattle causes the selected superior germ plasm being more unproductive in case of fattening cattle. The decision of superior seeds of Bali cattle is a crucial thing for the decision maker, related with this case is Bali cattle breeder. If it is not organized accurately, then the selection of superior seeds on the wrong bali cows often lead to various problems. Decision-making models can be used to help humans, especially cattle ranchers in making decisions. Weighted Product Method is a very effective and efficient method for selecting superior seeds, because the timing needed for calculation is much shorter. The purpose of this research is to make a model of decision making for selection superior seeds of Bali cattle. The decision-making model helps provide recommendations to farmers in the process of selecting superior bali cattle seeds as a material consideration in choosing the right, accurate and simplify the selection process with the best decision.</em></p><p class="Abstrak"><em><strong><br /></strong></em></p>


2019 ◽  
Vol 25 (6) ◽  
pp. 1188-1212 ◽  
Author(s):  
Huchang Liao ◽  
Zhi Wen ◽  
Lili Liu

In the era of intelligence and informatization, digital supply chain finance (DSCF) has become one of the important trends in the development of supply chain finance. With the gradual increase of DSCF suppliers and various requirements of small and medium-sized enterprises for suppliers in providing financing services, selecting the most suitable DSCF supplier is of great significance for most small and medium-sized enterprises to expand reproduction and improve competitiveness. To address such a decision-making problem, this paper proposes a new multi-expert multiple criteria decision-making model by integrating the Best Worst Method (BWM) and Additive Ratio ASsessment (ARAS) method under the hesitant fuzzy linguistic environment, in which the hesitant fuzzy linguistic BWM method is applied to determine the weights of criteria while the hesitant fuzzy linguistic ARAS method is proposed to rank the candidate suppliers. A case study is given to demonstrate the procedure of the proposed method for the selection of optimal DSCF suppliers, which shows the feasibility of the proposed method. Finally, sensitivity analysis and comparative analyses are provided to testify the applicability and superiority of the proposed method.


2021 ◽  
Author(s):  
Aleksandrs Kotlars ◽  
◽  
Inguna Jurgelane-Kaldava ◽  
Valerijs Skribans ◽  
◽  
...  

Nowadays different approaches are used by the companies to systematically compare and evaluate logistics service providers. The purpose of this study is to define and classify requirements, evaluation criteria and quality criteria set towards logistics service providers. In this study, information is gathered about the selection arrangements for logistics providers, which were collected from several companies. Authors looked for information related to the following questions: what are the criteria for evaluating logistics service providers; what are the requirements that logistics providers need to ensure to become a partner; what are the objectives of the selection contests (procurement tenders) defined by the companies; what are the main service quality indicators that are used to measure the performance of logistics service providers. Companies originated in the European Union from various countries have been examined. A literature review was conducted that helped to collect information regarding application of multiple-criteria decision-making for selection of logistics service providers and extract proposed selection criteria. Analysis of procurement documentation by logistics service providers was done to extract and group data that will be used to develop decision-making framework in further research. Authors created unique groups of logistics service providers selection criteria, requirements towards logistics service providers, selection goals and key performance indicators. Finally, general market research of pre-defined industries was made. There are very few studies dedicated to selection of criteria and requirements towards logistics service providers. Companies tend to formulate selection criteria of logistics service providers in general manner, at the same time, not paying attention to formulating selection process goals.


2013 ◽  
Vol 694-697 ◽  
pp. 3472-3475 ◽  
Author(s):  
Amy H.I. Lee ◽  
He Yau Kang ◽  
Chun Yu Lin ◽  
Hsin Wei Wu

High-tech firms are usually under a dynamically changing and fierce competitive environment these days. In order to survive in such an intensive competitive international market, a firm not only needs to manufacture outstanding products that meet the demands of its customers, it also needs to have a comprehensive supply chain management. To achieve the benefits of buyer-supplier integration, in terms of increased internal efficiency and profitability of the players in a supply chain, the identification of viable suppliers is a preliminary step that needs to be properly managed. Thus, to be cost competitive and to acquire decent profit in the market, the selection of the most appropriate suppliers is essential. In this paper, a supplier selection model is constructed by applying methodologies including decision making trial and evaluation laboratory (DEMATEL) and analytic network process (ANP) to determine the interrelationship among the evaluation criteria and to select the most appropriate suppliers for cooperation.


2012 ◽  
Vol 17 (4) ◽  
pp. 645-666 ◽  
Author(s):  
Violeta Keršulienė ◽  
Zenonas Turskis

The philosophy of decision making in economics is to assess and select the most preferable solution, implement it and to gain the biggest profit. Important issues such as competitive market, changing technical, political and social environment have a key role in personnel selection. It is the crucial task which determines the company's present and future. Many decisions made cannot be accurately forecast or assessed. Understanding of the multiple criteria method and knowledge to calculate the algorithm of the method allows a decision maker to trust solutions offered by solution support systems to a greater extent. Many individual attributes considered for personnel selection such as organizing ability, creativity, personality, and leadership exhibit vagueness and imprecision. The fuzzy set theory appears as an essential tool to provide a decision framework that incorporates imprecise judgments inherent in the personnel selection process. In this paper, a fuzzy multi-criteria decision making (MCDM) algorithm using the principles of fusion of fuzzy information, additive ratio assessment (ARAS) method with fuzzy numbers (ARAS-F) and step-wise weight assessment ratio analysis (SWARA) technique are integrated. The proposed method is apt to manage information assessed using both linguistic and numerical scales in a decision making problem with a group of information sources. The aggregation process is based on the unification of information by means of fuzzy sets on a basic linguistic term set. The computational procedure of the proposed framework is illustrated through an architect's selection problem. Santrauka Sprendimų priėmimas ekonomikoje pagrįstas galimų sprendinių įvertinimu, tinkamiausio sprendinio atrinkimu, įgyvendinimu ir didžiausio pelno gavimu. Tokie svarbūs klausimai, kaip užsitikrinti vietą konkurencingoje rinkoje, besikeičianti techninė, politinė ir socialinė aplinka, yra vieni svarbiausių parenkant personalą. Tai labai svarbus uždavinys, tiesiogiai veikiantis bendrovės gyvavimą dabar ir ateityje. Daug sprendinių negali būti tiksliai prognozuojami arba įvertinti. Supratimas apie daugiatikslius metodus ir skaičiavimo metodo algoritmo išmanymas yra prielaidos sprendimų priėmėjui pasitikėti sprendiniais, kuriuos pateikia sprendimų priėmimo sistemos. Yra pateikiama daug atskirų rodiklių personalui atrinkti: organizaciniai gebėjimai, kūrybiškumas, asmeninės ir lyderio savybės. Visi šie rodikliai turi vieną bendrą savybę – jie negali būti tiksliai apirėžti. Tokiems uždaviniams spręsti neraiškiųjų aibių teorija gali pateikti sprendimo būdus, kurie įvertina netikslumus, būdingus personalo atrankos procesui. Šiame straipsnyje neraiškusis daugiatikslis sprendimų priėmimo (MCDM) algoritmas, taikant neraiškiosios informacijos sintezės principus, suminį santykinių dydžių vertinimo (ARAS) metodą, kurio reikšmės aprašomos neraiškiaisiais skaičiais (ARAS-F), ir laipsnišką rodiklių svorio santykinių dydžių analizės (SWARA) metodą, yra integruotas. Siūlomas metodas tinkamas informacijai, vertinamai tiek žodžiais, tiek skaitmenimis, išreiškiamoms skalėms, uždaviniui, kurio informacija surenkama iš grupės informacijos šaltinių, apdoroti. Sujungimo procesas grindžiamas informacija, taikant neraiškiųjų aibių teoriją pagrindinėms žodžiais aprašomoms reikšmėms pakeisti. Siūlomo algoritmo taikymas pavaizduotas sprendžiant architekto parinkimo uždavinį.


Author(s):  
Mark W. Wiggins

The utilization of cues is a process that underpins a wide range of naturalistic models of decision-making, often differentiating the performance of experts and non-experts. However, the domain-specific and idiosyncratic nature of cue utilization means that the existence of cues in memory, together with their application, has been difficult to assess. This paper explains a valid and reliable approach to the assessment of cue utilization that accounts for idiosyncrasy and confirms the role of cues in facilitating performance amongst skilled practitioners. It also enables comparative analyses between operators, thereby facilitating a more robust process for the selection of subject-matter experts, assessments of gaps in performance that might be explained by differences in cue utilization, especially following the introduction of new technologies, the evaluation of training outcomes against baseline performance, and the identification of changes in cue utilization that might be associated with absences or other workplace demands.


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