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1

Liu, Zhongming, Hang Luo, Peng Chen, Qibin Xia, Zhihao Gan, and Wenyu Shan. "An efficient isomorphic CNN-based prediction and decision framework for financial time series." Intelligent Data Analysis 26, no. 4 (July 11, 2022): 893–909. http://dx.doi.org/10.3233/ida-216142.

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Financial time series prediction and trading decision-making are priorities of computational intelligence for researchers in academia and the finance industry due to their broad application areas and substantial impact. However, these methods remain challenging because they retain various complex statistical properties, and the mechanism behind the processes is unknown to a large extent. A significant number of machine learning-based methods are proposed and demonstrate impressive results, especially deep learning-based models. Nevertheless, due to the high complexity of massive, nonlinear, and nonindependent data and the difficulties and time consumption of complicated training models of deep learning, the performance of online trading decisions is still inadequate for practical application. This paper proposes the Integrated Framework of Forecasting Based Online Trading Strategy (IFF-BOTS) to satisfy better prediction performance and dynamic decisions for real-world online trading systems. Our method adopts a novel isomorphic convolutional neural network (CNN)-based forecaster-classifier-executor architecture to exploit CNN-based price and trend integrated prediction and direct-reinforcement-learning-based trading decision-making. IFF-BOTS can also achieve better real-time performance for online trading. We empirically compare the proposed approach with state-of-the-art prediction and trading methods on real-world S&P and DJI datasets. The results show that the IFF-BOTS outperforms its competitors in predicting metrics, trading profits, and real-time performance.
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Bucx, T. H. M., C. J. M. van Ruiten, G. Erkens, and G. de Lange. "An integrated assessment framework for land subsidence in delta cities." Proceedings of the International Association of Hydrological Sciences 372 (November 12, 2015): 485–91. http://dx.doi.org/10.5194/piahs-372-485-2015.

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Abstract. In many delta cities land subsidence exceeds absolute sea level rise up to a factor of ten by excessive groundwater extraction related to rapid urbanization and population growth. Without change, parts of Jakarta, Ho Chi Minh City, Bangkok and numerous other delta (and coastal) cities will sink below sea level. Increased flooding and also other widespread impacts of land subsidence result already in damage of billions of dollars per year. In order to gain insight in the complex, multi-sectoral aspects of subsidence, to raise awareness and to support decision making on appropriate adaptation strategies and measures, an Integrated Assessment Framework (IAF) for subsidence is introduced, illustrated by several (delta) case studies. Based on that a list of 10 generic key issues and possible solutions is presented in order to further develop and support a (generic) approach how to deal with subsidence in current and future subsidence-prone areas. For exchange of experiences and knowledge development.on subsidence in deltas the Delta Alliance, a knowledge network of deltas worldwide, can be supportive.
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Aghazadeh, Ebrahim, Hasan Yildirim, and Murat Kuruoglu. "A Hybrid Fuzzy MCDM Methodology for Optimal Structural System Selection Compatible with Sustainable Materials in Mass-Housing Projects." Sustainability 14, no. 20 (October 20, 2022): 13559. http://dx.doi.org/10.3390/su142013559.

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The present paper aimed to propose a new support approach to choosing the optimal structural system in accordance with sustainable materials in mass-housing projects. To this end, an integrated fuzzy multi-criteria-decision-making (fuzzy MCDM) method was used to identify the criteria affecting sustainable material selection. The proposed approach consists of a three-phase protocol: In phase I, the literature was used to create a database encompassing 42 factors affecting the selection of materials. These factors were classified as four indicators (economic, environmental, socio-cultural, technical-executive) in accordance with the sustainable development aspects. In phase II, the fuzzy Delphi method (FDM) was used to screen the key factors. In phase III, an integrated fuzzy SWARA–ARAS method was used to prioritize the optimal structural system for a case project: evidence from Iran. The results of selecting the structural systems based on 14 efficient key factors showed that the Light Steel Frame (LSF), Insulation Concrete framework (ICF), and the Prefabricated Reinforced Concrete System (PRC) systems have the highest priority to achieve the goals of sustainable material selection, respectively.
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Breton, Jessica, Zhang Yuchen, Trusha Patel, Janine McDermott, Jamie Stevenson, Erica Schwab, Maura Downing, Elizabeth Maxwell, Shazia Siddique, and Andrew Grossman. "27 UTILIZATION OF AN ELECTONIC MEDICAL RECORD (EMR)-INTEGRATED DASHBOARD IMPROVES IDENTIFICATION AND TREATMENT OF IRON DEFICIENCY IN PEDIATRIC INFLAMMATORY BOWEL DISEASE." Inflammatory Bowel Diseases 26, Supplement_1 (January 2020): S58. http://dx.doi.org/10.1093/ibd/zaa010.148.

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Abstract Background Anemia is frequently encountered in inflammatory bowel disease (IBD) with studies reporting an even greater prevalence among children (16–72%) than adults (4–67%) at any given time during disease course. Anemia is commonly a result of chronic iron deficiency (ID) and inflammation, with the two conditions often overlapping. Many studies have shown that gastroenterologists underecognize and undertreat these conditions. Moreover, there are currently no pediatric-specific guidelines. To align clinical practice with adult guideline recommendations and evidence-based publications, we developed a quality improvement (QI) initiative incorporating an algorithmic framework for recognition and treatment of iron deficiency anemia (IDA) in pediatric IBD. Methods The goals were twofold: improvement in 1) detection and 2) treatment rates of IDA in IBD patients. A multifaceted approach with a series of plan-do-study-act (PDSA) cycles was executed: 1. Public review of our current performance of anemia screening and treatment with all divisional providers (n=60) (11/2017), 2. Development of a new divisional clinical pathway for screening and treatment of IDA in patients with IBD (01/2018), 3. Educational sessions (02-04/2018), 4. Creation of an Epic order set and patient and family education (PFE) (02/2018), 5. Online availability of our pathway (11/2018), and 6. Utilization of an electronic medical record (EMR)-integrated dashboard to track our outcome metrics. A designated coordinator identified patients in the EMR and sent monthly reports to providers based on our automated dashboard which captured the percentage of patients with ordered hemoglobin (Hb) and ferritin, percentage of patients with anemia and/or iron deficiency, and percentage of patients with ordered iron therapy. Baseline data from July 2016 were compared to data after pathway implementation. Results In the pre-intervention period (July 2016-November 2017), 73.5% of our outpatient IBD population had a Hb ordered, with anemia prevalence of 36.3%. Only a minority of patients with anemia were being screened for ID (19.3%). Iron supplementation was prescribed in 38.1% of patients with documented anemia. Following the implementation of this QI initiative, rate of patients with biannual Hb testing completed increased to 80.1%, while prevalence of anemia decreased to 32.1%. Significant improvement was observed with screening and treatment rate increasing to 43.1% and 50.4% respectively by July 2019 as shown in Fig. 1–2. Notably, patients with moderate to severe anemia improved significantly from 48.7% to 62.1%. Conclusion ID and anemia are commonly underdiagnosed and undertreated in children with IBD. An evidence and expert based pathway combined with implementation of provider-based monthly reports using the EMR to support clinical decision may help increase screening and intervention and decrease rates of anemia prevalence. https://www.chop.edu/clinical-pathway
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Obradovikj Grncarovska, Teodora, Vladimir Dukovski, and Manu Sharma. "An integrated product policy decision framework." Management of Environmental Quality: An International Journal 25, no. 1 (January 7, 2014): 63–74. http://dx.doi.org/10.1108/meq-05-2013-0046.

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Purpose – The purpose of this paper is to formulate an integrated product policy (IPP) framework for the Republic of Macedonia, taking into account unique circumstances faced by the country, particularly the mandatory transposition of European Union (EU) environmental legislation, limited country-specific data availability and the low level of environmental awareness. Design/methodology/approach – The proposed IPP indicators at EU level and the available indicators in Macedonian conditions were used in order to create a composite IPP index as a method of measurement of the level of IPP implementation in the country. Markov Decision Processes (MDPs) are used as a policy decision approach for IPP. The purpose is to evaluate what decisions (taken now and in the future) would lead to the best possible level of IPP implementation. The approach applicability for long-term policy planning is demonstrated using a simple numerical example. Findings – A stylized numerical example utilizing the composite IPP index and the MDP approach indicate that policy makers should focus not only on transposing the mandatory EU legislation related to IPP, but simultaneously work to raise public awareness of IPP and environmental issues, since this opens the door for more beneficial policy alternatives in the future. Considering the long-term consequences of actions taken in the present time should be an essential part of policy design, given the pervasive and long-term nature of the effects of IPP policy. It is also very important to revisit the assumptions at regular intervals and incorporate into this framework the new learning and data obtained with time. Originality/value – This IPP framework and quantitative policy decision approach, in spite of its limitations, is a valuable and informative guide for IPP policy makers in the Republic of Macedonia. By incorporating a long-term view, explicit measurement of progress towards IPP implementation and the consideration of possible future consequences of policy decisions made in the present, it should be possible to significantly increase the likelihood of successful IPP implementation and improve environmental outcomes than those obtained using more conventional approaches.
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M.U. Noormanshah, Wan, Puteri N.E. Nohuddin, and Zuraini Zainol. "Document Categorization Using Decision Tree: Preliminary Study." International Journal of Engineering & Technology 7, no. 4.34 (December 13, 2018): 437. http://dx.doi.org/10.14419/ijet.v7i4.34.26907.

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This preliminaries study aims to propose a good classification technique that capable of doing document classification based on text mining technique and create an algorithm to automatically classify document according to its folder based on document’s content while able to do sentiment analyses to data sets and summarize it. The objective of this paper to identify an efficient text mining classification technique which can resulted with highest accuracy of classifying document into document folder, capable of extracting valuable information from context-based term that can be used as an output for algorithm to do automatic classification and evaluate the classification technique. Methodology of this study comprises in 5 modules which is 1) Document collection, 2) Pre-Processing Stage, 3) Term Frequency-Inversed Document Frequency, 4) Classification Technique and Algorithm, and lastly 5) Evaluation and Visualization of the classification result. The proposed framework will have utilized Term Frequency-Inversed Document Frequency (TF-IDF) and Decision Tree technique which TF-IDF used as purposes to rank all the terms based on most frequent to least frequent terms so, while decision tree function as decision making in terms of deciding which folder the document belongs to.
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Timperio, Giuseppe, Sunil Tiwari, José Manuel Gaspar Sánchez, Rafael Adrián García Martín, and Robert de Souza. "Integrated decision support framework for distribution network design." International Journal of Production Research 58, no. 8 (October 24, 2019): 2490–509. http://dx.doi.org/10.1080/00207543.2019.1680894.

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8

Ryu, Young U. "Constraint logic programming framework for integrated decision supports." Decision Support Systems 22, no. 2 (February 1998): 155–70. http://dx.doi.org/10.1016/s0167-9236(97)00053-5.

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Partridge, Mike, and Lew Perren. "An integrated framework for activity‐based decision making." Management Decision 36, no. 9 (November 1998): 580–88. http://dx.doi.org/10.1108/00251749810239469.

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Escobar-González, Diego, Mélany S. Singaña-Chasi , Juan González-Vergara , Bolívar Erazo , Miguel Zambrano, Darwin Acosta , Marcos Villacís , Mario Guallpa , Braulio Lahuatte, and Diego H. Peluffo-Ordóñez. "Intensity-Duration-Frequency Curve for Extreme Rainfall Event Characterization, in the High Tropical Andes." Water 14, no. 19 (September 23, 2022): 2998. http://dx.doi.org/10.3390/w14192998.

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In fields such as hydrology, meteorology, and civil engineering, the study of extreme precipitation events is useful to prevent rainfall related disasters. A widely-used practice to address such a problem is by using statistical inferences about precipitation intensity, duration and frequency (IDF). Despite of its great usefulness, the selection of the adequate data and methodology to characterize precipitation’s IDF in the urban area of high-altitude Andean cities remains an open issue for practitioners and decision makers. In this sense, the present paper develops an approach to schematically build the IDF curves for a sub-basin of the study case Andean city, Quito–Ecuador. The here-used data holds information from 12 meteorological stations. Then, the IDF curves are obtained by using both a parametrization followed by a Gamma distribution and a 3-parameter cumulative distribution function, also called mnp. Finally, the curve-fitting process is estimated numerically by adjusting the Sherman equation. Results (average R2=0.9) demonstrated that the framework is well-suited for the high-altitude regime. As a noticeable outcome, a novel spatial interpolation-based analysis is introduced, which enabled the identification of extreme rainfall events according to its duration.
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Jelassi, M. Tawfik, and Renée A. Beauclair. "An integrated framework for group decision support systems design." Information & Management 13, no. 3 (October 1987): 143–53. http://dx.doi.org/10.1016/0378-7206(87)90022-x.

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Ramesh, R., and G. Chandra Sekar. "An integrated framework for decision support in corporate planning." Decision Support Systems 4, no. 3 (September 1988): 365–75. http://dx.doi.org/10.1016/0167-9236(88)90023-1.

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Sari, Yuslena, Andreyan RIzky Baskara, Puguh Budi Prakoso, and Noorhanida Royani. "Perbandingan Metode Pembobotan Tf-Rf Dan Tf-Idf Dikombinasikan Dengan Weighted Tree Similarity Untuk Sistem Rekomendasi Buku." Jurnal Teknologi Informasi dan Ilmu Komputer 9, no. 6 (December 22, 2022): 1323. http://dx.doi.org/10.25126/jtiik.2022935709.

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<p class="Abstrak">Unit Pusat Terpadu Perpustakaan merupakan perpustakaan pusat yang ada di Universitas Lambung Mangkurat. Perpustakaan ini mempunyai sistem pencarian buku namun sistem tersebut belum adanya fitur rekomendasi buku sehingga anggota menjadi kesulitan dalam melakukan pencarian buku yang sesuai dengan keinginan anggota. Oleh karena itu, dengan adanya rekomendasi buku atau saran buku yang lain dapat menjadi alternatif untuk membantu anggota dalam melakukan pencarian buku yang sesuai. Dalam penelitian ini menggunakan perbandingan pembobotan kata TF-IDF dan TF-RF dengan weighted tree similarity sebagai pengukur kemiripan diantara beberapa data dengan parameter tree yang sudah ditentukan dan dilakukan perbandingan perhitungan dengan menghitung tf-idf dengan tf-rf menggunakan perhitungan excel mendapatkan nilai yang berbeda antara tf-idf dengan tf-rf, pembobotan tf-idf dapat mengukur kemiripan antara dokumen dan kata kunci buku yang paling mirip dengan buku yang dianggap paling relevan. Sehingga anggota memasukan kata kunci kemudian akan menemukan kemiripan buku dari kata kunci yang dimasukan sebelumnya namun untuk pembobotan tf-rf memberikan kata kunci dari setiap kategori. Hasil perbandingan yang di dapat yaitu 96% untuk tf-idf dan 98% untuk tf-rf. Sistem ini menggunakan bahasa pemrograman python dengan web framework django.</p><p class="Abstrak"> </p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Abstract"><em>The Central Integrated Library Unit is the central library at Lambung Mangkurat University. This library has a book search system but the system does not have a book recommendation feature so that members find it difficult to search for books that match the wishes of members. Therefore, the existence of book recommendations or other book suggestions can be an alternative to assist members in searching for suiTabel books. In this study using a comparison of the weighting of the words TF-IDF and TF-RF with weighted tree similarity as a measure of the similarity between several data and a comparison of calculations is carried out by calculating tf-idf with tf-rf using excel calculations to get different values between tf-idf and tf -rf, tf-idf weighting can measure the similarity between documents and keywords of the book that is most similar to the book that is considered the most relevant. So that members enter keywords and then find the similarity of books from the keywords entered previously but for weighting tf-rf provides keywords from each category. The comparison results obtained are 76% for tf-idf and 80% for tf-rf. This system uses the python programming language with the django web framework.</em></p><p class="Abstrak"><em><strong><br /></strong></em></p>
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Rajeswara Rao, D., and J. V.R Murthy. "Integrated Framework for Prognosis of Coronary Artery Disease." International Journal of Engineering & Technology 7, no. 2.32 (May 31, 2018): 1. http://dx.doi.org/10.14419/ijet.v7i2.32.13514.

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Coronary Artery Disease, commonly known as Heart Disease, has resulted in casualties all over the world. Currently, diagnosis of these conditions mainly relies on experience of doctors and partly on few decision support systems. Most decision support systems built for this domain have limitations. The major limitation is requirement of huge quantity of historical conditions data and appropriate related diagnosis labels. Proposed framework addresses this limitation by providing diagnosis comparable with existing systems while only taking available data in absence of labels. This is achieved by forming a novel framework using Self Organizing Networks and Learning Vector Quantization. Here, competitive learning paradigm of soft computing is primary focus. Proposed framework is compared with four well established existing systems namely Support Vector Machine, Decision Tree, Random Forest and Multi Layer Perceptron. After comparison and analysis it has been proved that proposed framework gives comparable results even without supplying labeled data.In future this framework can be extended to variegated applications in various domains.
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KIM, KEEHYUNG, HYUKGEUN CHOI, and RI (BOB) McKAY. "AN INTEGRATED FRAMEWORK FOR SUSPECT INVESTIGATION." International Journal on Artificial Intelligence Tools 20, no. 02 (April 2011): 349–66. http://dx.doi.org/10.1142/s021821301100019x.

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In a complex crime scene with many possible suspects and conflicting evidence, crime investigation requires scientific and logical steps to narrow down the suspects. Since human investigators have difficulty in fully handling all reasoning in this highly complex hypothesis space, we propose a decision support system to aid the investigation process. The system integrates a rule-based reasoner, a Bayesian network for criminal profiling, and an assumption-based truth maintenance system for evidential reasoning to determine the most plausible suspect. The reasoning process reasons about a profiling classification and an alibi credibility measure. It proved effective in a realistic simulation.
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van Dorsser, Cornelis, and Poonam Taneja. "An integrated three-layered foresight framework." foresight 22, no. 2 (March 9, 2020): 250–72. http://dx.doi.org/10.1108/fs-05-2019-0039.

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Purpose The paper aims to present an integrated foresight framework and method to support decision-makers who are confronted with today’s complex and rapidly changing world. The method aims at reducing the degree of uncertainty by addressing the inertia or duration of unfolding trends and by placing individual trends in a broader context. Design/methodology/approach The paper presents a three-layered framework and method for assessing megatrends based on their inertia or duration. It suggests that if long-term trends and key future uncertainties are studied in conjunction at a meta-level and placed in a broader multi-layered framework of trends, it can result in new insights. Findings The application of the proposed foresight method helps to systematically place a wide range of unrelated trends and key uncertainties in the context of a broader framework of trends, thereby improving the ability to understand the inertia, direction and mutual interaction of these trends. Research limitations/implications The elaboration of identified trends and key uncertainties is partly case-specific and subject to interpretation. It is aimed at illustrating the potential use of the framework. Practical implications The paper presents a new approach that may, by itself or in combination with existing foresight methods, offer new means for anticipating future developments. Social implications The use of the proposed framework has potential to provide better insight in the complexity of today’s rapid-changing world and the major transitions taking place. It aims to result in sharper foresight by reducing epistemic uncertainty for decision-makers. Originality/value The paper demonstrates how megatrends, Kondratieff waves and century-long trends can be placed in an integrated framework and analysed in conjunction.
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Ryder, Joan M., Allen L. Zaklad, Wayne W. Zachary, and Janine A. Purcell. "A Cognitive Framework for Integrated Embedded Training and Decision Aiding." Proceedings of the Human Factors Society Annual Meeting 36, no. 17 (October 1992): 1269–73. http://dx.doi.org/10.1518/107118192786749360.

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This research has developed a theoretically-based cognitive model and design framework for Integrated Decision Aiding/Training Embedded Systems (IDATES). Based on a review of empirical studies of noviceexpert differences and of theoretical and computational models of skill acquisition, we defined a three-stage cognitive hierarchy model as the basis for our IDATES framework. The levels of novice, intermediate, and expert are discrete stages which differ along two primary dimensions: problem representation and problem-solving procedure. Both decision aiding and training must be targeted to the problem representation and cognitive processes of the user/trainee. Thus, there must be three levels of decision aiding targeted to novice, intermediate, and expert decision makers. Furthermore, there are two types of training: incremental training to improve performance within each of the three expertise levels, and representational training to elicit a jump to the next higher level of problem representation. Two implications arise from the IDATES cognitive model. First, integrated cognitive/behavioral task analyses are able to drive both the embedded training requirements and the decision aiding requirements, although the three skill levels must be separately addressed. Second, a single integrated architecture can underlie all the decision aiding and embedded training components of a given IDATES application.
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Liu, Shuai, Meng Huang, Chenxi Li, Wenchao Lv, and Zhonghao Wang. "An Earthquake Emergency Web Data Cleaning and Classification Method Based on Word Frequency and Position Weighting." Computational Intelligence and Neuroscience 2022 (September 10, 2022): 1–10. http://dx.doi.org/10.1155/2022/6555392.

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The speed of earthquake emergency web document data cleaning is one of the key factors affecting emergency rescue decision-making. Data classification is the core process of data cleaning, and the efficiency of data classification determines the speed of data cleaning. This article is based on earthquake emergency Web document data and HTML structural features, combined with TF-IDF Algorithm and information calculation model, improves the word frequency factor and location factor parameters, and proposes the weighted frequency algorithm P-TF-IDF for earthquake emergency Web documents. To filter out less frequent words and optimize the FastText model, N-gram Feature word vectors effectively improve the efficiency of Web document data classification; for text classification data, use missing data recognition rules, data classification rules, and data repair rules to design an artificial intelligence-based earthquake emergency network information data cleaning framework to detect invalid data sets value, complete data comparison and redundancy judgment, clean up data conflicts and data errors, and generate a complete data set without duplication. The data cleaning framework not only completes the fusion of earthquake emergency network information but also provides a data foundation for the visualization of earthquake emergency data.
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Heidari, Hadi, Mazdak Arabi, Mahshid Ghanbari, and Travis Warziniack. "A Probabilistic Approach for Characterization of Sub-Annual Socioeconomic Drought Intensity-Duration-Frequency (IDF) Relationships in a Changing Environment." Water 12, no. 6 (May 27, 2020): 1522. http://dx.doi.org/10.3390/w12061522.

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Changes in climate, land use, and population can increase annual and interannual variability of socioeconomic droughts in water-scarce regions. This study develops a probabilistic approach to improve characterization of sub-annual socioeconomic drought intensity-duration-frequency (IDF) relationships under shifts in water supply and demand conditions. A mixture Gamma-Generalized Pareto (Gamma-GPD) model is proposed to enhance characterization of both the non-extreme and extreme socioeconomic droughts. Subsequently, the mixture model is used to determine sub-annual socioeconomic drought intensity-duration-frequency (IDF) relationships, return period, amplification factor, and drought risk. The application of the framework is demonstrated for the City of Fort Collins (Colorado, USA) water supply system. The water demand and supply time series for the 1985–2065 are estimated using the Integrated Urban water Model (IUWM) and the Soil and Water Assessment Tool (SWAT), respectively, with climate forcing from statistically downscaled CMIP5 projections. The results from the case study indicate that the mixture model leads to enhanced estimation of sub-annual socioeconomic drought frequencies, particularly for extreme events. The probabilistic approach presented in this study provides a procedure to update sub-annual socioeconomic drought IDF curves while taking into account changes in water supply and demand conditions.
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Won, S., and K. Kim. "An integrated framework for various operation plans in container terminals." Polish Maritime Research 16, no. 3 (October 1, 2009): 51–61. http://dx.doi.org/10.2478/v10012-008-0034-4.

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An integrated framework for various operation plans in container terminals This study provides a framework for integrating various planning activities in container terminals. First, we introduce various planning activities in container terminals and identify decision-making problems for each planning activity. Input parameters, decision variables, objectives, constraints, time buckets, and the planning horizon for each decision activity are identified. Next, we introduce the concept of a resource profile and planning procedure simultaneously by considering availabilities of various resources and resource requirements in a planning activity.
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Rosyidi, C. N. "A Framework of Integrated Sustainable Make or Buy Decision Model." IOP Conference Series: Materials Science and Engineering 1096, no. 1 (March 1, 2021): 012004. http://dx.doi.org/10.1088/1757-899x/1096/1/012004.

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Madaan, Jitendra, Subhash Wadhwa, and Mudit Verma. "INTEGRATED FRAMEWORK FOR REVERSE LOGISTICS SYSTEM: IMPROVED DECISION MAKING PROSPECTIVE." IFAC Proceedings Volumes 40, no. 18 (September 2007): 655–60. http://dx.doi.org/10.3182/20070927-4-ro-3905.00108.

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Aven, Terje. "An integrated framework for decision support on risk and uncertainty." Risk Management 12, no. 4 (October 2010): 285–300. http://dx.doi.org/10.1057/rm.2010.6.

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Fabbri, Karen P. "A strategic decision support framework for integrated coastal zone management." International Journal of Environmental Technology and Management 6, no. 1/2 (2006): 206. http://dx.doi.org/10.1504/ijetm.2006.008262.

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Janjevic, Milena, Desirée Knoppen, and Matthias Winkenbach. "Integrated decision-making framework for urban freight logistics policy-making." Transportation Research Part D: Transport and Environment 72 (July 2019): 333–57. http://dx.doi.org/10.1016/j.trd.2019.05.006.

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Azapagic, Adisa, and Slobodan Perdan. "An integrated sustainability decision-support framework Part I: Problem structuring." International Journal of Sustainable Development & World Ecology 12, no. 2 (June 2005): 98–111. http://dx.doi.org/10.1080/13504500509469622.

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Azapagic, Adisa, and Slobodan Perdan. "An integrated sustainability decision-support framework Part II: Problem analysis." International Journal of Sustainable Development & World Ecology 12, no. 2 (June 2005): 112–31. http://dx.doi.org/10.1080/13504500509469623.

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Rezaei, Mahdi, Mohsen Akbarpour Shirazi, and Behrooz Karimi. "IoT-based framework for performance measurement." Industrial Management & Data Systems 117, no. 4 (May 8, 2017): 688–712. http://dx.doi.org/10.1108/imds-08-2016-0331.

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Purpose The purpose of this paper is to develop an Internet of Things (IoT)-based framework for supply chain (SC) performance measurement and real-time decision alignment. The aims of the proposed model are to optimize the performance indicator based on integrated supply chain operations reference metrics. Design/methodology/approach The SC multi-dimensional structure is modeled by multi-objective optimization methods. The operational presented model considers important SC features thoroughly such as multi-echelons, several suppliers, several manufacturers and several products during multiple periods. A multi-objective mathematical programming model is then developed to yield the operational decisions with Pareto efficient performance values and solved using a well-known meta-heuristic algorithm, i.e., non-dominated sorting genetic algorithm II. Afterward, Technique for Order of Preference by Similarity to Ideal Solution method is used to determine the best operational solution based on the strategic decision maker’s idea. Findings This paper proposes a dynamic integrated solution for three main problems: strategic decisions in high level, operational decisions in low level and alignment of these two decision levels. Originality/value The authors propose a human intelligence-based process for high level decision and machine intelligence-based decision support systems for low level decision using a novel approach. High level and low level decisions are aligned by a machine intelligence model as well. The presented framework is based on change detection, event driven planning and real-time decision alignment.
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Schenkman, Margaret, Judith E. Deutsch, and Kathleen M. Gill-Body. "An Integrated Framework for Decision Making in Neurologic Physical Therapist Practice." Physical Therapy 86, no. 12 (December 1, 2006): 1681–702. http://dx.doi.org/10.2522/ptj.20050260.

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Abstract Decision-making frameworks are used by clinicians to guide patient management, communicate with other health care providers, and educate patients and their families. A number of frameworks have been applied to guide clinical practice, but none are comprehensive in terms of patient management. This article proposes a unifying framework for application to decision making in the management of individuals who have neurologic dysfunction. The framework integrates both enablement and disablement perspectives. The framework has the following attributes: (1) it is patient-centered, (2) it is anchored by the patient/client management model from the Guide for Physical Therapist Practice, (3) it incorporates the Hypothesis-Oriented Algorithm for Clinicians (HOAC) at every step, and (4) it proposes a systematic approach to task analysis for interpretation of movement dysfunction. This framework provides a mechanism for making clinical decisions, developing clinical hypotheses, and formulating a plan of care. Application of the framework is illustrated with a case example of an individual with neurologic dysfunction.
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Baser, Abdul Alim, Zakiah Saleh, and Mazni Abdullah. "The Relevance of Integrated Reporting in Investment Decision Making: A Proposed Framework." Asian Journal of Accounting Perspectives 15, no. 2 (November 10, 2022): 22–43. http://dx.doi.org/10.22452/ajap.vol15no2.2.

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Research aim: Although Integrated Reporting (IR) has been widely adopted worldwide, literature on its usefulness in stock investment decision making is still scant and inconclusive. As such, this paper aims to articulate a conceptual framework to catechize the nexus between IR information, and stock investment decision making. Design/ Methodology/ Approach: The extant literature on IR is critically reviewed to identify gaps in knowledge, and finally to propose a framework that can link the IR and investment decision making. Research finding: This paper argues that IR information disclosed through six types of capital information (Financial, Human, Intellectual, Manufactured, Natural, and Social and Relational) can impact stock investment decision making both directly and indirectly. The indirect or mediation effect is performed by the reporting engendered firm’s reputation as perceived by the investors. Theoretical contribution/ Originality: Bearing stockholders’ information needs, this paper broadens the demand-side IR literature by showing an otherwise overlooked interlinkage between IR information, and investment decision making. Practitioner/ Policy implication: This paper offers new insights to investors, regulators, and researchers who had been arguing and searching for the usefulness of IR in the capital market. Research limitation: Since IR is a growing field of research, future research might include different behavioural biases or personal values in the proposed investment decision making framework. Keywords: Integrated Reporting (IR), Investment decision, Corporate reputation, Corporate reporting.
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31

Rødseth, Harald, and Per Schjølberg. "Maintenance backlog for improving integrated planning." Journal of Quality in Maintenance Engineering 23, no. 2 (May 8, 2017): 195–225. http://dx.doi.org/10.1108/jqme-01-2016-0002.

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Purpose The purpose of this paper is to develop a novel model for maintenance backlog (MB) of physical assets and structure it in a framework for integrated planning (IPL). Design/methodology/approach Reliability theory principles for modelling MB are used. Furthermore, to structure a framework for IPL, literature study combined with earlier case studies is used. Findings The framework for IPL facilitates the model of MB. In addition to providing real-time diagnosis indicators, MB is regarded as valuable information for decision support in IPL. Originality/value Development of MB applied to IPL.
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Siraj, Khairiyah Mohd, Nooryusmiza Yusoff, Mahadzir Shuhaimi, and Syed Faizan Ali. "An Integrated Framework for Refinery Scheduling and Operational Optimization." Applied Mechanics and Materials 625 (September 2014): 390–93. http://dx.doi.org/10.4028/www.scientific.net/amm.625.390.

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This work deals with an integrated decision at the refinery scheduling and operational optimization levels. Re-scheduling is performed as a means to integrate both of these levels. Results indicate that the total benefit obtained by the proposed integrated method managed to increase 16% of the base case profit.
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33

Valos, Michael J., Vanya Louise Maplestone, Michael Jay Polonsky, and Mike Ewing. "Integrating social media within an integrated marketing communication decision-making framework." Journal of Marketing Management 33, no. 17-18 (November 22, 2017): 1522–58. http://dx.doi.org/10.1080/0267257x.2017.1410211.

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34

Chmutina, Ksenia, Lee Bosher, Jon Coaffee, and Rob Rowlands. "Towards Integrated Security and Resilience Framework: A Tool for Decision-makers." Procedia Economics and Finance 18 (2014): 25–32. http://dx.doi.org/10.1016/s2212-5671(14)00909-5.

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35

Alptekin, S. Emre, and E. Ertugrul Karsak. "An integrated decision framework for evaluating and selecting e-learning products." Applied Soft Computing 11, no. 3 (April 2011): 2990–98. http://dx.doi.org/10.1016/j.asoc.2010.11.023.

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36

Lai, Yen Yi, Kelvin Chu How Yik, Han Peng Hau, Chai Peng Chow, Nishanth G. Chemmangattuvalappil, and Lik Yin Ng. "Enterprise Decision-making Framework for Chemical Product Design in Integrated Biorefineries." Process Integration and Optimization for Sustainability 3, no. 1 (March 12, 2018): 25–42. http://dx.doi.org/10.1007/s41660-018-0037-2.

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37

Amber, Quratulain. "Knowledge Sharing in Knowledge Economy: An integrated framework for decision making." Academy of Management Proceedings 2015, no. 1 (January 2015): 15480. http://dx.doi.org/10.5465/ambpp.2015.15480abstract.

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38

Doukas, Haris, Vangelis Marinakis, and John Psarras. "“Greening” the Hellenic Corporate Energy Policy: An Integrated Decision Support Framework." International Journal of Green Energy 9, no. 6 (August 2012): 487–502. http://dx.doi.org/10.1080/15435075.2011.622023.

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39

Stank, Theodore P., and Thomas J. Goldsby. "A framework for transportation decision making in an integrated supply chain." Supply Chain Management: An International Journal 5, no. 2 (May 2000): 71–78. http://dx.doi.org/10.1108/13598540010319984.

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40

Muñoz, Edrisi, Elisabet Capón-García, Antonio Espuña, and Luis Puigjaner. "Ontological framework for enterprise-wide integrated decision-making at operational level." Computers & Chemical Engineering 42 (July 2012): 217–34. http://dx.doi.org/10.1016/j.compchemeng.2012.02.001.

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41

Jin, Haifeng, and Paul M. Goodrum. "Integrated Decision Support Framework of Optimal Scaffolding System for Construction Projects." Algorithms 16, no. 7 (July 20, 2023): 348. http://dx.doi.org/10.3390/a16070348.

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Selecting the appropriate temporary facilities is important for reducing cost and improving the productivity and safety of craft professionals in construction projects. However, the manual planning process for scaffolding systems is typically prone to inefficiencies. This paper aims to develop a knowledge-based framework for a scaffolding decision support system for industry. An integrated two-phase system was established, including a technical evaluation module and a knowledge-based module. First, the system identifies feasible scaffolding alternatives from the database through a rule-based algorithm. Second, a knowledge-based module was designed to assess the alternative performance. The framework effectively generated the ranking of scaffolding alternatives, and the top three influential factors were identified, including the site accessibility, protection to workers and health risk. Thus, an application study of an industrial steel project was proffered to validate the effectiveness of the framework. The proposed framework may help decision-making regarding the implementation of temporary facility planning in industry practices. It has wider applicability because it simultaneously considers site conditions, productivity, safety, and financial benefits, and is designed and implemented through a computerized path. The paper contributes to the industry by developing an integrated decision support system for temporary facilities. Additionally, the practical contribution of this research is the provision of an optimized scaffolding planning method that could be utilized as a guide when implementing the decision support system.
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42

Prato, Tony, Chris Fulcher, Shunxiang Wu, and Jian Ma. "Multiple-Objective Decision Making for Agroecosystem Management." Agricultural and Resource Economics Review 25, no. 2 (October 1996): 200–212. http://dx.doi.org/10.1017/s1068280500007863.

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Multiple-objective decision making (MODEM) provides an effective framework for integrated resource assessment of agroecosystems. Two elements of integrated assessment are discussed and illustrated: (1) adding noneconomic objectives as constraints in an optimization problem; and (2) evaluating tradeoffs among competing objectives using the efficiency frontier for objectives. These elements are illustrated for a crop farm and watershed in northern Missouri. An interactive, spatial decision support system (ISDSS) makes the MODEM framework accessible to unsophisticated users. A conceptual ISDSS is presented that assesses the socioeconomic, environmental, and ecological consequences of alternative management plans for reducing soil erosion and nonpoint source pollution in agroecosystems. A watershed decision support system based on the ISDSS is discussed.
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43

Van Schoubroeck, Sophie, Gwenny Thomassen, Steven Van Passel, Robert Malina, Johan Springael, Sebastien Lizin, Richard A. Venditti, Yuan Yao, and Miet Van Dael. "An integrated techno-sustainability assessment (TSA) framework for emerging technologies." Green Chemistry 23, no. 4 (2021): 1700–1715. http://dx.doi.org/10.1039/d1gc00036e.

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The integrated techno-sustainability assessment (TSA) deals with the dynamic quantification of application-specific environmental, economic, and social indicators, and flexible decision-making for emerging (biobased) technologies.
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44

Mitchell, Sarah-Louise, and Moira Clark. "Volunteer choice of nonprofit organisation: an integrated framework." European Journal of Marketing 55, no. 1 (September 11, 2020): 63–94. http://dx.doi.org/10.1108/ejm-05-2019-0427.

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Purpose This paper aims to explore how volunteers choose one nonprofit organisation (NPO) rather than another. It identifies the drivers of choice, and the relationship between them, to enable NPOs to strengthen their volunteer recruitment. Design/methodology/approach A total of 51 service-delivery volunteers were interviewed, drawn from 5 leading NPOs. A laddering technique was used to understand the context in which the choice of organisation was made and the underlying personal needs and goals. The data was analysed using means-end chain (MEC) methodology to uncover the relationships between, and hierarchy of, the decision drivers. Findings Brand, cause, and role were found to be important in meeting personal needs and goals through volunteering. The paper makes three contributions. Firstly, it presents a clearer understanding of NPO choice through adopting an integrated theoretical perspective. Secondly, it identifies the decision-making process and key relationships between the attributes of the NPO, the consequences for the volunteer, and the connection to their personal needs. Finally, the study makes an important contribution to literature through presenting a new conceptual framework of volunteer decision-making in the nonprofit context to act as a catalyst for future research. Research limitations/implications This research is both impactful through, and limited by, its context selection: regular service-delivery volunteers from five NPOs within two causes. The paper presents a rich research stream to extend this understanding to other nonprofit stakeholders, other causes including medical volunteer, and smaller NPOs. Practical implications In an increasingly competitive nonprofit environment with a growing need to support the vulnerable in society, NPO sustainability is dependent on their ability to recruit new volunteers. NPOs compete not only with other organisations with similar causes but also those offering similar volunteering roles, and other uses of time to meet personal needs such as sport, career, or community. Understanding how volunteers make their choice of NPO rather than other uses of their time is of vital importance to make the most effective use of scarce marketing resources. This paper contributes to that practitioner understanding. Originality/value To the best of the authors’ knowledge, this study is the first to extend the understanding of generic motivations of volunteers to consider specific choice of NPO. Unlike previous literature, the authors bring together theory on brand, cause, and role with personal needs. The authors are also the first to apply MEC methodology to the nonprofit context to uncover the personal underlying, less salient reasons behind NPO choice and the relationship between them.
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Goldsby, Thomas J., Thu Trang Hoang, Theodore P. Stank, and John E. Bell. "A Modernized Framework for Transportation Decision-Making in a Hyper-Integrated Global Supply Chain Environment." Transportation Journal 62, no. 1 (January 1, 2023): 16–42. http://dx.doi.org/10.5325/transportationj.62.1.0016.

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Abstract At the turn of the century, firms struggled to make transportation decisions in increasingly integrated supply chains that routinely stretched around the world. In “A Framework for Transportation Decision Making in an Integrated Supply Chain” (Supply Chain Management: An International Journal 5 [2]: 71–77) T. P. Stank and T. J. Goldsby proposed an original transportation decision-making framework to address the need. The framework is cited over 250 times in the academic literature and referenced by firms seeking to optimize cost-service tradeoffs in an environment characterized by higher levels of market freedoms, service innovation, and supply chain collaboration. Since the year 2000, though, the digital revolution, customer expectations, and supply chain resilience concerns have given rise to new demands for transportation decision-making, with operations residing in a hyper-integrated and further globally entrenched state. Therefore, we revisit Stank and Goldsby’s original framework to review major transportation decision areas and devise contemporary mechanisms to address the modern business environment. Our framework highlights the rapid and interdependent nature of today’s corporate transportation decisions to help firms tackle current business needs and long-term strategic interests. We also seek to illuminate prospective avenues for research endeavor.
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46

Gu, Jian, and Wei Min Mao. "A Production Scheduling Framework Integrated with Simulation Module." Advanced Materials Research 602-604 (December 2012): 1831–34. http://dx.doi.org/10.4028/www.scientific.net/amr.602-604.1831.

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It is necessary to achieve high system performances in terms of throughput rate and service level in today’s business environment. This can be achieved by implementing efficient and effective production planning methods complemented with precise and fast scheduling predictions. A framework is proposed to integrate real-time production data, scheduling mechanisms and simulation for providing realistic scheduling policies that could be used for operational and tactical decision-making. The focus is on the use of discrete event simulation utilizing relevant shop floor data, provided by an ERP system. A primary objective is to evaluate and characterize scheduling policies in a discrete manufacturing environment.
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Qiu, Chang Hua, Shang Liu, and Dong Yan Shi. "Fuzzy Design Scheme Selection Method Based on QFD Integrated with TRIZ." Key Engineering Materials 419-420 (October 2009): 61–64. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.61.

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A new framework of decision-making is proposed in this paper to accommodate the application of quality function deployment (QFD) integrated with TRIZ. In the proposal framework, Ideal Final Result (IFR) oriented decision-making process is introduced for the innovation design process in order to select the best solution from alternatives which are generated by TRIZ and consistent with the laws of technical system evolution. Overall customer satisfaction oriented decision-making process is applied for the alternatives generated from both innovation design process and adaptive design process. The correlation matrix, which affects the weight of criteria, is modified according to the style of broken contradiction for the application of TRIZ. Meanwhile, triangular fuzzy numbers are utilized to deal with vagueness of human thought. Finally, an example is taken to show application of the framework.
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48

Kasie, Fentahun Moges, Glen Bright, and Anthony Walker. "Decision support systems in manufacturing: a survey and future trends." Journal of Modelling in Management 12, no. 3 (August 14, 2017): 432–54. http://dx.doi.org/10.1108/jm2-02-2016-0015.

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Purpose This paper aims to propose a theoretical decision support framework, which integrates artificial intelligence (AI), discrete-event simulation (DES) and database management technologies so as to determine the steady state flow of items (e.g. fixtures, jigs, tools, etc.) in manufacturing. Design/methodology/approach The existing literature was carefully reviewed to address the state of the arts in decision support systems (DSS), the shortcomings of pure simulation-based and pure AI-based DSS. A conceptual example is illustrated to show the integrated application of AI, simulation and database components of the proposed DSS framework. Findings Recent DSS studies have revealed the limitations of pure simulation-based and pure AI-based DSS. A new DSS framework is required in manufacturing to address these limitations, taking into account the problems of flowing items. Research limitations/implications The theoretical DSS framework is proposed using simple rules and equations. This implies that it is not complex for software development and implementation. Practical data are not presented in this paper. A real DSS will be developed using the proposed theoretical framework and realistic results will be presented in the near future. Originality/value The proposed theoretical framework reveals how the integrated components of DSS can work together in manufacturing in order to determine the stable flow of items in a specific production period. Especially, the integrated performance of case-based reasoning (CBR) and DES is conceptually illustrated.
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49

VAN DER VORST, RITA, ANNE GRAFÉ-BUCKENS, and WILLIAM R. SHEATE. "A SYSTEMIC FRAMEWORK FOR ENVIRONMENTAL DECISION-MAKING." Journal of Environmental Assessment Policy and Management 01, no. 01 (March 1999): 1–26. http://dx.doi.org/10.1142/s146433329900003x.

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The context of sustainable development poses new challenges for traditional environmental decision-making tools, such as environmental impact assessment, environmental management system and life cycle assessment. Today these tools are expected to provide multi-disciplinary information to aid sustainability decisions, not just to inform decisions about environmental effects. This paper brings together the different perspectives of authors from EIA, EMS and clean technology/LCA to examine critically the separate tools in the context of sustainable development, and their inter-relationships, and identifies a "tool-user's dilemma": whether to use a tool as intended, to adapt it or develop something new. The paper examines the similarities of these key tools and recognises both a paradigm shift and a congruence in the way in which they have developed: from being merely tools, through being techniques to approaches. The paper concludes by suggesting an integrated framework within which the tools can continue to operate effectively, and one that helps resolve the tool-user's dilemma. Clean Technology is seen as providing a useful philosophical understanding for the operation of this outline framework.
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Bhowmik, Chiranjib, Sumit Bhowmik, and Amitava Ray. "Optimal green energy source selection: An eclectic decision." Energy & Environment 31, no. 5 (October 23, 2019): 842–59. http://dx.doi.org/10.1177/0958305x19882392.

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Various researchers have suggested many qualitative and quantitative criteria for green energy management, which are mostly operational in nature and specific to a particular application. The main aim of this investigation is to develop an innovative integrated analytical framework as a benchmark for selecting the optimal green energy source under various sustainable dimensions. Nine major areas likely; energy management, source selection, environmental dimension, social dimension, economic dimension, technical dimension, institutional dimension, sustainability and importance measurement have been considered for this study. The proposed framework for green energy source selection is relatively innovative as the various key factors are integrated for sustainability level of constructs (environmental, social, economic, technical and institutional) with expert judgment levels (both strategic and tactic). The framework helps to identify the optimum green energy source (solar energy) for cleaner future using analytical hierarchy process. The research can potentially help energy managers, policy makers as well as decision makers to measure and improve the utilization of green energy sources for sustainable future.
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