Relevant bibliographies by topics / Operational Constraints

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Operational Constraints'

Author: Grafiati
Published: 5 June 2025
Last updated: 25 June 2025

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Journal articles on the topic "Operational Constraints"

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Clements, Stephen E., Patrick L. Dallain, and Mark S. Jamnick. "An operational, spatially constrained harvest scheduling model." Canadian Journal of Forest Research 20, no. 9 (1990): 1438–47. http://dx.doi.org/10.1139/x90-190.

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A Monte Carlo integer programming algorithm was developed to generate short-term (25-year), spatially feasible timber harvest plans for a New Brunswick Crown license. Solutions for the short-term plan are considered feasible if they meet spatial and temporal harvest-flow and adjacency constraints. The solution search procedure integrates a randomly generated harvesting sequence and checks of harvest-flow and adjacency constraints. The model was used to determine the annual allowable cut under three constraint formulations. The three formulations represented increasing levels of adjacency constraints, from no constraints to levels similar to current provincial requirements. The annual allowable cut under the most strict constraint formulation was reduced by 9% from the unconstrained formulation, for a given mapping strategy of a long-term harvest schedule. These applications of the model indicate that it is suitable for spatially constrained harvest scheduling on Crown licenses in New Brunswick.
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Marley, Anthony D. "Special operations in conflict resolution: Operational capabilities versus political constraints." Small Wars & Insurgencies 7, no. 1 (1996): 35–40. http://dx.doi.org/10.1080/09592319608423128.

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Vardiero, Pedro, Amaro Olimpio Pereira, Fabio A. Diuana, and Rafael Morais. "Enhancements to the Insufficient Ramping Resource Expectation (IRRE) for Energy-Constrained Power Systems with Application to the Brazilian Electricity Grid." Energies 18, no. 7 (2025): 1560. https://doi.org/10.3390/en18071560.

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The increasing integration of variable renewable energy sources (VRESs) into modern power systems presents significant challenges in ensuring operational flexibility, highlighting the need for robust methodologies to evaluate and ensure system reliability. The Insufficient Ramping Resource Expectation (IRRE) has emerged as a critical metric for quantifying the probability of ramping deficiencies in power systems. However, its traditional application, designed primarily for capacity-constrained systems, may not fully capture the operational dynamics of energy-constrained systems, such as those dominated by hydropower generation. This study analyzes the IRRE methodology and proposes enhancements to incorporate additional constraints, including seasonal and monthly hydrological variability and operational reserve requirements, to better reflect the flexibility limitations in energy-constrained systems. A case study of the Brazilian electricity system evaluates these modifications by comparing traditional and enhanced IRRE results across varying scenarios, including higher VRES penetration. Results reveal that, under stricter constraints, IRRE values increased by over 11 times for monthly hydrological limits in the Northeast subsystem, compared to the traditional IRRE. Additionally, combining these constraints with a 5% operational reserve requirement led to ramping deficits in up to 5% of the hours in a year for the same subsystem, highlighting the critical impact of operational constraints. Furthermore, scenarios with 30% and 100% VRES growth resulted in deficits increasing by 56 times and 418 occurrences, respectively, in certain subsystems. These findings demonstrate the enhanced IRRE’s effectiveness in evaluating flexibility challenges and its relevance for supporting planning and operational strategies in systems undergoing rapid renewable energy expansion.
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JPT staff, _. "Drill-Bit Solutions for Operational Constraints." Journal of Petroleum Technology 49, no. 12 (1997): 1324. http://dx.doi.org/10.2118/1297-1324-jpt.

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Chen, Rusi, Haiguang Liu, Yan Liu, Sicong Han, and Xiaodong Yu. "Load Restoration Flexible Optimization in Wind Power Integrated System Based on Conditional Value at Risk." Electronics 12, no. 1 (2022): 178. http://dx.doi.org/10.3390/electronics12010178.

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In order to better accommodate the uncertainty induced from a high penetration of wind power during load recovery, a method of load restoration flexible optimization is developed in this paper. First, the idea of adopting flexible operational constraints when optimizing schemes is presented so as not to be too conservative in the application of wind power output during restoration. Further, conditional value at risk (CVaR) is employed to define an operational constraint slacking factor (OCSF) through analyzing the extent of constraint exceeding the prescribed limits when wind speed is taking the value outside its confidence interval. Adopting OCSF, a mixed integer linear programming (MILP) model of flexible load restoration, is constructed based on the primary model by substituting adjustable constraints for rigid constraints, which can be solved with CPLEX. Finally, the New England 10-unit 39-bus power system is used to demonstrate the proposed method, and the results explicitly indicate that the amount of load picked up can be effectively increased and an operational security can be guaranteed as well.
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Bruggemann, Troy, Aaron McFadyen, and Brendan Williams. "Airspace Constrained Free-Flight Analysis: Implications for Uncrewed Air Traffic Management." Drones 8, no. 10 (2024): 603. http://dx.doi.org/10.3390/drones8100603.

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This paper provides a study of free-flight air traffic behaviour in increasingly constrained airspace environments. Traffic assumes three different free-flight operational constructs with airspace constraints considered as restricted (no-fly) regions. Simulations combine path planning and Monte Carlo techniques to qualitatively analyse emergent traffic behaviour and quantitatively assess spatial–temporal airspace conflict as the airspace constraints vary. Findings indicate that airspace constraints have a much stronger influence on aircraft behaviour than the free-flight operational construct, with any benefits of free flight rapidly diminishing as the airspace becomes more constrained. We conclude that structured traffic route (or network) designs and associated risk modelling approaches should be considered for safe and efficient traffic management of highly constrained and congested (or dense) airspace. This work therefore provides evidence to inform new airspace design and management initiatives, including low-altitude uncrewed traffic.
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Dr., David Augustine Bull. "Operational Bottlenecks and Workforce Efficiency: A Quantitative Evaluation Using the Theory of Constraints in Healthcare." International Journal of Interdisciplinary Research and Innovations 13, no. 2 (2025): 60–78. https://doi.org/10.5281/zenodo.15585196.

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<strong>Abstract:</strong> This study examined the predictive and operational value of bottleneck analysis for optimizing healthcare staff utilization through the integration of the Theory of Constraints (TOC) and predictive analytics. Using a quantitative, explanatory research design, data was collected from departmental workflows, performance metrics, and staff schedules in a mid-sized urban hospital over a 12-month period. Bottlenecks were identified and categorized into human, procedural, and technological constraints. To address the first research question, predictive models, including multiple linear regression and random forest algorithms were developed to assess the relationship between bottlenecks and staff utilization. The random forest model demonstrated higher predictive accuracy, indicating that identified constraints can meaningfully forecast staffing efficiency. To answer the second research question, descriptive statistics revealed that procedural and human bottlenecks were the most frequent and disruptive. One-way ANOVA showed significant differences in staff efficiency across departments based on constraint type and severity, while chi-square tests confirmed associations between bottleneck types and inefficiencies. For the third research question, TOC-informed interventions were implemented in departments with high constraint levels. Pre- and post-intervention analyses using paired t-tests showed significant improvements in staff efficiency, reduced idle time, and increased patient throughput, with effect sizes indicating meaningful practical changes. The study&rsquo;s findings have several implications. For practice, healthcare leaders should adopt TOC-driven bottleneck analysis combined with machine learning models to anticipate and alleviate staffing inefficiencies. Regular audits of workflow constraints can help in deploying staff more effectively and improving patient flow. For research, this study lays the groundwork for longitudinal and multi-site investigations to generalize findings across various healthcare settings. Future studies should explore real-time constraint detection using artificial intelligence tools. Theoretically, this study supports and extends the Theory of Constraints by demonstrating its compatibility with predictive modeling, contributing to a more data-driven approach to operational decision-making in healthcare. Recommendations include training healthcare managers in constraint identification and predictive analytics to enhance systemic responsiveness and sustainability in workforce management. <strong>Keywords:</strong> Predictive analytics, Operational value, Process flow mapping, Staff utilization, Theory of constraint. <strong>Title:</strong> Operational Bottlenecks and Workforce Efficiency: A Quantitative Evaluation Using the Theory of Constraints in Healthcare <strong>Author:</strong> Dr. David Augustine Bull <strong>International Journal of Interdisciplinary Research and Innovations</strong> <strong>ISSN 2348-1218 (print), ISSN 2348-1226 (online)</strong> <strong>Vol. 13, Issue 2, April 2025 - June 2025</strong> <strong>Page No: 60-78</strong> <strong>Research Publish Journals</strong> <strong>Website: www.researchpublish.com</strong> <strong>Published Date: 03-June-2025</strong> <strong>DOI: https://doi.org/10.5281/zenodo.15585196</strong> <strong>Paper Download Link (Source)</strong> <strong>https://www.researchpublish.com/papers/operational-bottlenecks-and-workforce-efficiency-a-quantitative-evaluation-using-the-theory-of-constraints-in-healthcare</strong>
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Vascik, Parker D., R. John Hansman, and Nicholas S. Dunn. "Analysis of Urban Air Mobility Operational Constraints." Journal of Air Transportation 26, no. 4 (2018): 133–46. http://dx.doi.org/10.2514/1.d0120.

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Amaro, Ana Cristina dos Santos, and Ana Paula F. D. Barbosa-Póvoa. "Design of distribution manifolds with operational constraints." Computers & Chemical Engineering 23 (June 1999): S3—S6. http://dx.doi.org/10.1016/s0098-1354(99)80002-7.

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Gardiner, Mark Q. "Operational constraints and the model-theoretic argument." Erkenntnis 43, no. 3 (1995): 395–400. http://dx.doi.org/10.1007/bf01135380.

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Dissertations / Theses on the topic "Operational Constraints"

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Evans, Antony. "Simulating airline operational responses to environmental constraints." Thesis, University of Cambridge, 2010. https://www.repository.cam.ac.uk/handle/1810/226855.

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This dissertation describes a model that predicts airline flight network, frequency and fleet changes in response to policy measures that aim to reduce the environmental impact of aviation. Such airline operational responses to policy measures are not considered by existing integrated aviation-environment modelling tools. By not modelling these effects the capability of the air transport system to adjust under changing conditions is neglected, resulting in the forecasting of potentially misleading system and local responses to constraints. The model developed follows the overriding principle of airline strategic decision making, i.e., airline profit maximisation within a competitive environment. It consists of several components describing different aspects of the air transport system, including passenger demand forecasting, flight delay modelling, estimation of airline costs and airfares, and network optimisation. These components are integrated into a framework that allows the relationships between fares, passenger demand, infrastructure capacity constraints, flight delays, flight frequencies, and the flight network to be simulated. Airline competition is modeled by simulating a strategic game between airlines competing for market share, each of which maximizes its own profit. The model is validated by reproducing historical passenger flows and flight frequencies for a network of 22 airports serving 14 of the largest cities in the United States, using 2005 population, per capita income and airport capacities as inputs. The estimated passenger flows and flight frequencies compare well to observed data for the same network (the R2 value comparing flight segment frequencies is 0.62). After validation, the model is applied to simulate traffic growth and carbon dioxide and nitrogen oxide emissions within the same network from 2005 to 2030 under a series of scenarios. These scenarios investigate airline responses to (i) airport capacity constraints, (ii) regional increases in costs in the form of landing fees, and (iii) major reductions in aircraft fuel burn, as would be achieved through the introduction of radically new technology such as a blended wing body aircraft or advanced open rotor engines. The simulation results indicate that, while airport capacity constraints may have significant system-wide effects, they are the result of local airport effects which are much greater. In particular, airport capacity constraints can have a significant impact on flight delays, passenger demand, aircraft operations, and emissions, especially at congested hub airports. If capacity is available at other airports, capacity constraints may also induce changes in the flight network, including changes in the distribution of connecting traffic between hubs and the distribution of true origin-ultimate destination traffic between airports in multi-airport systems. Airport capacity constraints are less likely to induce any significant increase in the size of aircraft operated, however, because of frequency competition effects, which maintain high flight frequencies despite reductions in demand in response to increased flight delays. The simulation results also indicate that, if sufficiently large, regional increases in landing fees may induce significant reductions in aircraft operations by increasing average aircraft size and inducing a shift in connecting traffic away from the region. The simulation results also indicate that the introduction of radically new technology that reduces aircraft fuel burn may have only limited impact on reducing system CO2 emissions, and only in the case where the new technology can be taken up by the majority of the fleet. The reason for this is that the reduced operating costs of the new technology may result in an increase in frequency competition and thus aircraft operations. In conclusion, the modelling of airline operational responses to environmental constraints is important when studying both the system and local effects of environmental policy measures, because it captures the capability of the air transport system to adjust under changing conditions.
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Tursel, Eliiyi Deniz. "Operational Fixed Job Scheduling Problem." Phd thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/2/12605482/index.pdf.

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In this study, we consider the Operational Fixed Job Scheduling Problem on identical parallel machines. The problem is to select a subset of jobs for processing among a set of available jobs with fixed arrival times and deadlines, so as to maximize the total weight. We analyze the problem under three environments: Working time constraints, Spread time constraints, and Machine dependent job weights. We show that machine eligibility constraints appear as a special case of the last environment. We settle the complexity status of all problems, and show that they are NP-hard in the strong sense and have several polynomially solvable special structures. For all problems, we propose branch and bound algorithms that employ powerful reduction mechanisms and efficient lower and upper bounds. The results of our computational runs reveal that, the algorithms return optimal solutions for problem instances with up to 100 jobs in reasonable solution times.
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Dunn, Nicholas (Nicholas S. ). "Analysis of urban air transportation operational constraints and customer value attributes." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117987.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2018.<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, in conjunction with the Leaders for Global Operations Program at MIT, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 87-88).<br>Urban Air Mobility (UAM) is a concept that proposes to provide short-range transportation solutions that enable customers to travel point-to-point more quickly than they can today using cars or public transportation. The concept of Urban Air Mobility is not new, but there has been rapidly increasing interest in providing air transportation services within major metropolitan areas. The combination of increasing congestion and advancements in electric aircraft and automation makes the Urban Air Mobility market more attractive for vehicle manufactures and transportation companies. There are many potential applications for new aircraft. However, these applications cannot be based solely on what is technological feasible, but must consider the market, demand, and customer needs. This thesis investigates these factors in order to identify operational challenges that may develop during the implementation and operation of an Urban Air Mobility system. The study focuses on Dallas-Fort Worth to set the scope to one potential early adoption market. The objective is to understand the Dallas-Fort Worth environment better in two dimensions. The first is resident's current perceptions and values. The second is the operational challenges and constraints associated with operating a UAM system. In order to meet this objective, a survey of community members and potential early adopters is conducted to determine customer's perceptions of a UAM system and identify operational challenges that may develop based on customer needs. Next, a case study is completed using 10 reference missions in the Dallas-Fort Worth metropolitan area. The missions represented potential commuter trips, point-to-point trips like sporting events, and randomly generated missions. Through this case study, nineteen operational challenges are identified that may impact the development, implementation, and operation of an Urban Air Mobility system. After reviewing each reference mission, community acceptance of aircraft noise and take off and landing area availability were identified as the operational constraints likely to cause the greatest challenges for UAM operations in Dallas Fort Worth.<br>by Nicholas Dunn.<br>M.B.A.<br>S.M.
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Rambalee, Prevlen. "Identification of desired operational spaces via numerical methods." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/25314.

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Plant efficiency and profitability are becoming increasingly important and operating at the most optimal point is a necessity. The definition of proper operational bounds on output variables such as product quality, production rates etc., is critical for plant optimisation. The use of operational bounds that do not lie within the region of the output operational space of the plant can result in the control system attempting to operate the plant in a non attainable region. The use of operational bounds that lie within the bounds of the output operational space of the plant and if the output operational space is non convex can also result in the control system attempting to operate the plant in a non attainable region. This results in non feasible optimisation. A numerical intersection algorithm has been developed that identifies the feasible region of operation known as the desired operational space. This is accomplished by finding the intersection of the required operational space and the achievable output operational space. The algorithm was simulated and evaluated on a case study under various scenarios. These scenarios included specifying operational bounds that lie partially within the bounds of the achievable operational space and also specifying operational bounds that lie within the bounds of the operational space which was non convex. The results yielded a desired operational space with bounds that were guaranteed to lie within an attainable region on the output operational space. The desired operational space bounds were also simplified into a rectangle with high and low limits that can be readily used in control systems.<br>Dissertation (MEng)--University of Pretoria, 2012.<br>Chemical Engineering<br>unrestricted
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Altarazi, Safwan A. Cheraghi S. Hossein. "Operational tolerance allocation and machine assignment under process capability and product value constraints." Diss., Click here for available full-text of this dissertation via Current Research@Gateway, 2005.

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Thesis (Ph.D.)--Wichita State University, College of Engineering.<br>"May 2005." Title from PDF title page (viewed on August 2, 2006). UMI No.: AAT 3189235 Thesis advisor: S. Hossein Cheraghi. Includes bibliographic references (leaves 136-161).
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Arvesen, Oystein, and Vegard Gjelsvik Medbø. "Valuation of a Combined Cycle Gas Turbine : under price uncertainty and operational constraints." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for industriell økonomi og teknologiledelse, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-21056.

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In this thesis we combine multivariate time series modelling with real options theory to value a combined cycle gas turbine. We propose a novel price model with co-integrated power, gas and carbon prices, with multivariate stochastic volatility and MNIG distributed errors. The estimated model is found to outperform competing specications in terms of higher likelihood and lower information criteria. We implement a Least Squares Monte Carlo (LSM) simulation to value the plant, incorporating ramp times, startup costs and variable plant eciency. We take into account that day-ahead prices are settled the day before prices take eect, which is often overlooked in related literature. We nd that ignoring this leads to suboptimal choices and a lower value estimate. An analysis of the regressions in the LSM algorithm reveals that the choice of basis functions has a signicant eect on the estimated value of the plant. Particularly, for a low-eciency plant, a regression on the spark spread underestimates the value by 20% compared to a regression on both the electricity price and the fuel cost components. This implies that in spread option valuations where the LSM is applicable, simulating all asset or commodity prices may be advantageous over simulating the spread alone.
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Kettner, Claudia, Angela Köppl, and Sigrid Stagl. "Towards an operational measurement of socio-ecological performance." European Commission, bmwfw, 2014. http://epub.wu.ac.at/4718/1/WWWforEurope_WPS_no052_MS29.pdf.

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Questioning GDP as dominant indicator for economic performance has become commonplace. For economists economic policy always aims for a broader array of goals (like income, employment, price stability, trade balance) alongside income, with income being the priority objective. The Stiglitz-Sen-Fitoussi Commission argued for extending and adapting key variables of macroeconomic analysis. International organisations such as the EC, OECD, Eurostat and UN have proposed extended arrays of macroeconomic indicators (see 'Beyond GDP', 'Compendium of wellbeing indicators', 'GDP and Beyond', 'Green Economy', 'Green Growth', 'Measuring Progress of Societies'). Despite these high profile efforts, few wellbeing and environmental variables are in use in macroeconomic models. The reasons for the low uptake of socio-ecological indicators in macroeconomic models range from path dependencies in modelling, technical limitations, indicator lists being long and unworkable, choices of indicators appearing ad hoc and poor data availability. In this paper we review key approaches and identify a limited list of candidate variables and - as much as possible - offer data sources.<br>Series: WWWforEurope
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Kchaou, Mouna. "Modeling and solving a distribution network design problem with multiple operational constraints : Application to a case-study in the automotive industry." Phd thesis, Ecole Centrale Paris, 2013. http://tel.archives-ouvertes.fr/tel-00978486.

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L'objet de notre projet de recherche est le développement d'un modèle de conception d'un réseau de distribution composé de trois niveaux : les usines, les centres de distribution (CD) et les clients. Nous supposons que le nombre et la localisation des usines ainsi que le nombre et la localisation des clients sont connus. Etant donné la demande des clients et une liste de CD potentiels, l'objectif est de déterminer la localisation des CD à ouvrir et d'y affecter les clients de manière à minimiser le coût total. En termes de modélisation, nous considérons divers aspects opérationnels qui sont inspirés d'une étude de cas dans l'industrie automobile. Ces aspect ont été pris en compte séparément dans la littérature mais jamais combinés dans un même modèle. Plus particulièrement, nous introduisons un " clustering " en prétraitement afin de modéliser les tournées de camions. Nous intégrons également des contraintes de volume minimum sur les axes de transport, des contraintes de volume minimum et de capacité maximale sur les centres de distribution, des contraintes de distance de couverture maximale et des contraintes d'uni-affectation. Par ailleurs, nous étudions une extension multi-périodes du problème en utilisant un " clustering " dynamique pour modéliser des tournées de camions multi-périodes. En termes de résolution, comme le problème étudié est NP-difficile au sens fort, nous proposons différentes méthodes heuristiques performantes basées sur la relaxation linéaire. A travers les tests effectués, nous montrons que ces méthodes fournissent des solutions proches de l'optimale en moins de temps de calcul que l'application directe d'un solveur linéaire. Nous analysons également la structure des réseaux de distribution obtenus et nous comparons les résultats issus de plusieurs versions du modèle afin de montrer la valeur ajoutée du " clustering " ainsi que de l'approche multi-périodes.
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Kchaou-Boujelben, Mouna. "Modeling and solving a distribution network design problem with multiple operational constraints. Application to a case-study in the automotive industry." Phd thesis, Ecole Centrale Paris, 2013. http://tel.archives-ouvertes.fr/tel-00946890.

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A cause de leur aspect strat égique et des divers challenges qu'ils repr ésentent en termes de mod élisation et de r ésolution, les probl èmes de localisation et de conception de r éseaux ont été largement étudi es par les sp écialistes en recherche opérationnelle. Par ailleurs, bien que les études de cas dans ce domaine soient rares dans la litt érature, plusieurs travaux r écents ont int égr é certains aspects op érationnels afi n de rendre ces probl èmes d'optimisation plus r éalistes. L'objet de notre projet de recherche est le d éveloppement d'un mod èle de conception d'un r éseau de distribution prenant en compte plusieurs aspects op érationnels inspir és d'une étude de cas dans le domaine de l'automobile. Bien que nos choix de mod élisation soient motiv és par cette étude de cas, ils restent applicables dans d'autres secteurs industriels. Le r éseau de distribution consid ér é se compose de trois niveaux : les usines au premier niveau, les centres de distribution (CD) au deuxi ème niveau et les clients au dernier niveau. Nous supposons que le nombre et la localisation des usines ainsi que le nombre et la localisation des clients sont connus. Etant donn é la demande des clients et une liste de CD potentiels, l'objectif est de d éterminer la localisation des CD a ouvrir et d'y a ffecter les clients de mani ère a minimiser le coût total. Nos contributions par rapport aux travaux existants concernent la mod élisation et la r ésolution du probl ème ainsi que les tests num ériques eff ectu és. En termes de mod élisation, nous consid érons divers aspects op érationnels qui ont été pris en compte s épar ément dans la litt érature mais jamais combin és dans un même mod èle. Plus particuli èrement, nous introduisons un "clustering" en pr étraitement afi n de mod éliser les tourn ées de camions. Nous int égrons également des contraintes de volume minimum sur les axes de transport pour assurer l'utilisation de camions pleins, des contraintes de volume minimum et de capacit é maximale sur les centres de distribution, des contraintes de distance de couverture maximale et des contraintes d'uni-aff ectation. Par ailleurs, nous étudions une extension multi-p ériodes du probl ème en utilisant un "clustering" dynamique pour mod éliser des tourn ées de camions multi-p ériodes. En termes de r ésolution, comme le probl ème étudi é est NP-di ffcile au sens fort, nous proposons di fférentes m éthodes heuristiques performantes bas ées sur la relaxation lin éaire. A travers les tests eff ectu és, nous montrons que ces m éthodes fournissent des solutions proches de l'optimale en moins de temps de calcul que l'application directe d'un solveur lin éaire. Nous analysons également la structure des r éseaux de distribution obtenus et nous comparons les r ésultats issus de plusieurs versions du mod èle afi n de montrer la valeur ajout ée du "clustering" ainsi que de l'approche multi-p ériodes.
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Abubakar, Aminu Sahabi. "Contribution to the development of new maintenance strategies integrated to control charts for a production process under service levels, operational, and quality constraints." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0055.

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L'industrie de la production actuelle est caractérisée par des progrès significatifs : une augmentation massive de la haute technologie, l'émergence de clients exigeants, des marchés compétitifs, une qualité de produit variée et des demandes aléatoires ont exigé la collaboration des aspects interdépendants de la production. La production, la maintenance et la qualité sont les aspects les plus critiques du système industriel. Nous nous intéressons à l'optimisation de la maintenance qui joue un rôle essentiel dans la satisfaction du client, la durabilité et le développement des entreprises. Notre étude est centrée sur le développement de la production et de la maintenance intégrées dans une carte de contrôle de la politique de qualité. Nous proposons de nouvelles stratégies de maintenance intégrée avec une analyse approfondie des améliorations continues de la fiabilité du processus de production et traitées sous les contraintes des exigences du client (Service, qualité et coût). L'intégration et la coordination optimale de ces facteurs de production n'est pas facile et représente un défi pour les entreprises industrielles, et sont plus difficiles avec les causes multi-assignables de la variation du processus de production. Pour répondre à ce problème, ce travail de recherche a utilisé l'outil carte de contrôle en combinaison avec les principes de l'AFNOR connus sous le nom de Règle des sept comme impliqués dans la gestion de la qualité. Pour surveiller, analyser et diriger les actions de maintenance appropriées pour l'amélioration continue de la fiabilité du système le long des différents scénarios de processus multiples comme niveaux de décision. Nous utilisons les interactions entre le processus de production et la qualité du produit pour des stratégies de maintenance qui réduisent la défaillance du système de production en améliorant la fiabilité du processus et en réduisant les produits non conformes. L'étude a porté de manière significative sur la qualité, les outils de qualité et leurs applications dans le contrôle de la production et de la maintenance. La technique que nous avons utilisée pour optimiser la maintenance et le contrôle de la qualité d'un système de production intégré est un outil de carte de contrôle basé sur la mesure et l'analyse statistique des paramètres de qualité. Nous modélisons différents problèmes de production et développons une politique de contrôle pour des systèmes de production à défaillance aléatoire qui doivent satisfaire les exigences des clients de manière dynamique tout au long de l'horizon de production fini. Nous avons introduit un modèle mathématique pour minimiser les coûts totaux de production, d'inventaire, de maintenance et de contrôle de la qualité. L'optimisation de la stratégie de maintenance a été intégrée dans un outil d'information sur les cartes de contrôle. Sur la base de la variation du taux de production et de son impact sur la dégradation de la machine, le nombre de maintenance, les temps et les intervalles nécessaires à une prise de décision prudente sont déterminés par l'algorithme développé. Dans ce contexte, cette recherche présente la dérivation pour différents cas de toutes les probabilités pour le processus d'être dans ou hors de contrôle, les durées moyennes d'exécution, et les durées de cycle de restauration. Sur la base du facteur de dégradation, de nouvelles équations de taux de défaillance sont formulées, puis le taux de défaillance moyen pour chaque cas, nous avons formulé différents modèles d'optimisation des coûts de maintenance. L'approche proposée est utile pour le calcul précis et la minimisation du coût total de maintenance. Elle optimise le coût total de production en considérant tous les états possibles du processus de production dus à des causes multiples. Notre travail contribue à l'émergence de techniques de gestion de la qualité et d'amélioration des performances qui contribueront au développement des entreprises de production<br>The current production industry is characterise by significant progress: a massive increase in high technology, the emergence of exigent customers, competitive markets, varied product quality, and random demands required the collaborations of the inter-related aspects of production. The production, maintenance, and quality are the most critical aspects of the industrial system. We are interested in optimising maintenance that plays a critical role in customer satisfaction, sustainability, and the development of companies. Our study is centred on developing production and maintenance integrated into a control chart of quality policy. We propose new integrated maintenance strategies with an in-depth analysis of the continuous production process reliability improvements and treated under customer requirements (Service, quality, and cost) constraints. The integration and optimal coordination of these factors of production is not easy and represent a challenge for industrial companies, and are more challenging with multi-assignable causes of production process variation. To address this problem, this research work employed the use of a control chart tool in combination with the AFNOR principles known as Rule of seven as involved in quality management. To monitor, analyses and direct appropriate maintenance actions for continuous system reliability improvements along the different multiple process scenarios as decision levels. We use the interactions between the production process and product quality for strategies of maintenance which reduce the failure of the production system by improving process reliability and reducing the no conformal products. The study Significantly focused on quality, quality tools, and their applications in production and maintenance control. The technique we used to optimise the maintenance and quality control of an integrated production system is a control chart tool based on statistical measurement and analysis of quality parameters. We model different production problems and develop a control policy for randomly failing production systems that must satisfy customer requirements dynamically throughout the finite production horizon. We introduced a mathematical model to minimise the total costs of production, inventory, maintenance, and quality control. The optimisation of the maintenance strategy was integrated into a control chart tool information. Based on the production rate variation and its impact on machine degradation the number of maintenance, times, and intervals needed for prudent decision-making is determined by the developed algorithm. In this context, this research presents the derivation for different cases of all the probabilities for the process to be in or out of control, the average run lengths, and the restoration cycle durations. Based on the degradation factor, new failure rate equations are formulated, and then the average failure rate for each case, we formulated different maintenance cost optimisation models. The proposed approach is useful for precise calculation and minimisation of the total maintenance cost. Which optimises total production cost considering all possible production process statuses due to multiple causes. Our work contributes to the emergence of quality management and performance improvement techniques that will contribute to the development of production companies
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Books on the topic "Operational Constraints"

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Kameri-Mbote, Patricia. The operational environment and constraints for NGOs in Kenya: Strategies for good policy and practice. Advocates Coalition for Development and Environment, 2000.

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Kameri-Mbote, Patricia. The operational environment and constraints for NGOs in Kenya: Strategies for good policy and practice. Advocates Coalition for Development and Environment, 2000.

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Guam. Police Dept. Special Programs Section. Crime and traffic analysis report: An analysis of crime and traffic trends on Guam, and the operational ramifications of budget constraints. Guam Police Dept., 1994.

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Christopher, Beck J., and Smith Barbara 1948-, eds. Integration of AI and OR techniques in constraint programming for combinatorial optimization problems: Third international conference, CPAIOR 2006, Cork, Ireland, May 31 - June 2, 2006 ; proceedings. Springer, 2006.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., ed. Lighting constraints on lunar surface operations. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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International, Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimisation Problems (4th 2007 Brussels Belgium). Integration of AI and OR techniques in constraint programming for combinatorial optimization problems: 4th international conference, CPAIOR 2007, Brussels, Belgium, May 23-26, 2007 : proceedings. Springer, 2007.

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Mavroedis, John. Update operations in indefinite temporal constraint databases. UMIST, 1995.

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Baptiste, Philippe. Constraint-Based Scheduling: Applying Constraint Programming to Scheduling Problems. Springer US, 2001.

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Luo, Zhi-Quan. Mathematical programs with equilibrium constraints. Cambridge University Press, 1996.

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Achterberg, Tobias. Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems: 8th International Conference, CPAIOR 2011, Berlin, Germany, May 23-27, 2011. Proceedings. Springer Berlin Heidelberg, 2011.

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Book chapters on the topic "Operational Constraints"

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Abdennadher, Slim, and Thom Frühwirth. "Operational Equivalence of CHR Programs and Constraints." In Principles and Practice of Constraint Programming – CP’99. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-540-48085-3_4.

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Andreeva-Mori, Adriana, Shinji Suzuki, and Eri Itoh. "Sequencing of Arrival Aircraft with Operational Constraints." In Lecture Notes in Electrical Engineering. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5651-9_5.

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Goh, T. N. "Some Strategies for Experimentation under Operational Constraints." In Six Sigma. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470062002.ch17.

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Manieri, Lucrezia. "Control of Large-Scale MLD Systems via Multi-agent Reformulation and Decentralized Optimization." In SpringerBriefs in Applied Sciences and Technology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80268-3_9.

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Abstract Motivated by the challenges emerging in the energy sector, this brief presents a comprehensive framework for the optimal operation of large-scale Mixed Logical Dynamical (MLD) systems modeling engineering systems characterized by interleaved physical, logical, and digital components and subject to operational constraints. When the performance index is linear, the problem translates into a Mixed Integer Linear Program (MILP) that is NP-hard and becomes prohibitive as the size of the system increases. In the case of multi-agent systems that are constraint-coupled, decentralized schemes with provable feasibility guarantees are introduced to recover computational tractability by reducing the global MILP to multiple smaller ones that are iteratively solved in parallel. If the matrix modeling the MILP constraints is sparse, a method is proposed to possibly recover a hidden constraint-coupled multi-agent structure to which the decentralized resolution schemes can then be applied. Finally, multi-agent constraint-coupled MILPs with uncertain local constraints are considered and probabilistic feasibility guarantees are derived for their data-based decentralized solution. The framework is tested on an application in the energy sector concerning the provision of ancillary services to the power distribution grid.
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Maggi, Fabrizio Maria, Marco Montali, and Wil M. P. van der Aalst. "An Operational Decision Support Framework for Monitoring Business Constraints." In Fundamental Approaches to Software Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28872-2_11.

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Briot, N., C. Bessiere, B. Tisseyre, and P. Vismara. "Integration of operational constraints to optimize differential harvest in viticulture." In Precision agriculture '15. Wageningen Academic Publishers, 2015. http://dx.doi.org/10.3920/978-90-8686-814-8_60.

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Ozturk, Onur, Mehmet A. Begen, and Gregory S. Zaric. "Impact of Operational Constraints on the Implied Value of Life." In Lecture Notes in Management and Industrial Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08782-0_24.

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Arona, Lorenzo, Martyn Fogg, Mark Loveday, Brit Wengenmayr, and Ini Ituen. "Regulatory Constraints and Operational Best Practices to Ensure the Safety of Non-routine Space Operations." In Space Operations. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94628-9_2.

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Balram, Ramu Dubey, and Lakshmi Narayan Mishra. "Symmetric Duality for a Multiobjective Fractional Programming with Cone Objectives as Well as Constraints." In Applications of Operational Research in Business and Industries. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8012-1_22.

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Krieg, Andreas. "Civil–Military Constraints on Strategic and Operational Decision-Making in Humanitarian Intervention." In Commercializing Cosmopolitan Security. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33376-2_6.

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Conference papers on the topic "Operational Constraints"

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Tomy, Milan, Konstantin M. Seiler, and Andrew J. Hill. "MCTS Based Dispatch of Autonomous Vehicles under Operational Constraints for Continuous Transportation." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711554.

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Zhou, Qiang, PengFei Gao, QingQuan Lv, JianMei Zhang, ZhenZhen Zhang, and JiaLin Zhang. "Integrating Fuzzy Chance Constraints with Operational Mechanisms in Concentrated Solar Power Plants." In 2024 8th International Conference on Smart Grid and Smart Cities (ICSGSC). IEEE, 2024. https://doi.org/10.1109/icsgsc62639.2024.10813916.

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Scott, Robert. "A Historical Survey of Operational Effectiveness in Relation to Preliminary Design." In Vertical Flight Society 71st Annual Forum & Technology Display. The Vertical Flight Society, 2015. http://dx.doi.org/10.4050/f-0071-2015-10230.

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A survey of rotorcraft design studies is presented with particular focus placed on operationally significant aircraft characteristics as they are expressed as design requirements. The requirements, assumptions, and results of the design studies are tracked against both the year of the analysis and the estimated projected technology year of the aircraft concept. The historical trends, if any, of operational requirements and their projected design impact are examined in light of possible future requirements and constraints.
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Kovácsházy, Tamás. "Utilizing Network Adapters for Network Timing Performance Evaluation and Monitoring, Practical Approaches and Operational Constraints." In 2024 IEEE International Symposium on Precision Clock Synchronization for Measurement, Control, and Communication (ISPCS). IEEE, 2024. http://dx.doi.org/10.1109/ispcs63021.2024.10747726.

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Lin, Danning, Ning Ma, Donghan Feng, Yun Zhou, Wenlong Li, and Zihao Tian. "The Impact of Operational Constraints on the Uniqueness of Locational Marginal Price: Simulation and Analysis." In 2024 8th International Conference on Smart Grid and Smart Cities (ICSGSC). IEEE, 2024. https://doi.org/10.1109/icsgsc62639.2024.10813751.

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Mew, G. R. "MHFCS. Constraints on operational frequencies." In IEE Colloquium. Frequency Selection and Management Techniques for HF Communications. IEE, 1999. http://dx.doi.org/10.1049/ic:19990088.

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Muñoz Osorio, Juan D., Mario D. Fiore, and Felix Allmendinger. "Operational Space Formulation Under Joint Constraints." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86058.

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In this paper, the problem of including hard constraints in the stack of tasks for torque-controlled serial manipulators is treated. The classic potential field approach is studied and a novel implementation of it is proposed. This implementation reduces the kinetic energy in the proximity of joint limits. Furthermore, a novel approach is proposed in order to include not only joint positions but also joint velocities and acceleration limits. This approach is called “Saturation in Joint Space” (SJS). The algorithm proceeds by creating a task with the highest priority in a stack of tasks scheme. This high priority task saturates the acceleration of the joints that would exceed their motion limits. The methods are tested and compared in simulation for the KUKA LBR iiwa. The SJS approach presents smoother behaviour near to the joint limits, while a Cartesian trajectory is traced. Experiments are performed to test the efficiency of this method in a real environment and under interaction with a human. The on-line saturation of the joint acceleration generates a friendly behaviour with the human even when he pushes the robot towards its limits.
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Lavretsky, Eugene. "Withdrawn: Servo-Controllers With Operational Constraints." In AIAA SCITECH 2025 Forum. American Institute of Aeronautics and Astronautics, 2025. https://doi.org/10.2514/6.2025-2591.

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KORUNOVIĆ, ANA, MILOŠ MILIĆ, DUŠAN SAVIĆ, ILIJA ANTOVIĆ, and SINIŠA VLAJIĆ. "DESIGNING VALUE AND STRUCTURAL CONSTRAINTS USING DESIGN PATTERNS." In 51ST SYMPOSIUM ON OPERATIONAL RESEARCH. Faculty of Technical Sciences, Novi Sad, 2024. http://dx.doi.org/10.24867/symopis-2024-51-028.

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Mellinkoff, Benjamin J., Matthew M. Spydell, Wendy Bailey, and Jack O. Burns. "Quantifying operational constraints of low-latency telerobotics for planetary surface operations." In 2018 IEEE Aerospace Conference. IEEE, 2018. http://dx.doi.org/10.1109/aero.2018.8396673.

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Reports on the topic "Operational Constraints"

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Munson, Tom. Operation ALLIED FORCE: Operational Planning and Political Constraints. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada378603.

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Yip, Eugene, and Gerald Lüttgen. Heterogeneous Specification of Spacecraft Software. Otto-Friedrich-Universität, 2024. http://dx.doi.org/10.20378/irb-97634.

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The operational behaviour of a reactive system is commonly specified or modelled as concurrent state machines, where each machine models the possible states or modes of a software component and its interactions with the environment. However, state machines can quickly become verbose when execution constraints between concurrent states need to be modelled. Alternatively, constraints could be modelled declaratively as special edges between states. Such a heterogeneous modelling approach is employed by Virtual Satellite (VirSat), a model-based systems engineering tool from the German Aerospace Center (DLR). The challenge has been to develop a heterogeneous modelling framework that supports an operational and declarative syntax, defines a unified semantics suitable for formal reasoning, and supports the independent and incremental development of software components. We address this challenge with our Component State Machine (CSM) formalism as a means to operationalise VirSat: the operational syntax of VirSat is preserved in CSM, the declarative VirSat constraints are transformed into CSM atomic propositions and parallel conditions, the CSM parallel operator incrementally composes CSMs and resolves the parallel conditions, and design errors are analysed as inconsistent transitions. CSM permits new constraints to be defined without needing to modify the core VirSat semantics. We also propose an intuitive, practical, and mathematically rigorous notion of refinement that aims to encourage a more systematic development of spacecraft software. Lastly, we offer a modular implementation of CSMs as hierarchically scheduled Executable State Machines (ESMs) that remains open to further composition and refinement.
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Jorge, Guillermo. Identification and Exchange of Information on Politically Exposed Persons in Central American Countries. Inter-American Development Bank, 2018. http://dx.doi.org/10.18235/0010714.

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In the fight against money laundering, information on politically exposed persons (PEPs) is highly relevant for financial institutions as it is about customers deemed to be high-risk due to their public functions and the degree of influence they can exert. This document reviews the regulatory and operational frameworks to access and exchange of information on PEPs in Central American countries, as well as the enhanced due diligence measures under implementation in these countries. The main findings indicate that there are legal constraints in relation to the definition of PEPs and the obligation to declare beneficial owners. There are also operational constraints in terms of the measures implemented to identify PEPs and to ensure the integrity of information systems. Likewise, this document presents recommendations to address the barriers identified and analyzes best practices to help strengthen the detection and prevention mechanisms used by Central American governments and financial institutions for cases in which PEPs use the financial system to launder money obtained through corruption and related crimes.
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Hibbert, Angela, and Begona Pérez Gómez. Operational monitoring systems available at the three sites. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d5.9.

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Tide gauges can capture sea level variability on multiple timescales, from high frequency events like waves, tides and tsunamis, to seasonal and interannual changes and the longer-term trends associated with Climate Change. However, financial constraints dictate that they are often maintained to lower standards than the stringent accuracy requirements demanded by the IOC-UNESCO’s Global Sea Level Observing System (GLOSS) for monitoring sea level rise. In addition, a sparsity of Global Navigation Satellite System (GNSS) receivers at the coast means that there are large uncertainties in rates of land motion at tide gauges, which also hampers the estimation of long-term sea level trends. Task 5.1.1 has devised prototype low maintenance tide gauge systems, powered by renewable energy and which monitor both land motion and sea level using novel techniques such as ground-based GNSS Interferometric Reflectometry (GNSS-IR). These systems eliminate the need for costly ongoing levelling exercises and also incorporate customisations to local monitoring needs, such as sensors for lightning detection and wave height. Despite a number of unforeseen setbacks, these prototype systems are now operating at 2 locations in the Mediterranean Sea and a third system is in transit to Colombia for installation by local stakeholders who have been trained in the installation methodology by the WP5 team. It is hoped that there is potential to advance these technological solutions as a global standard, via the GLOSS community. (EuroSea Deliverable, D5.9)
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Mohammadian, Abolfazl, Mohammad Miralinaghi, Alireza Talebpour, Sajad Askari, and Sanaz Kazemzadehazad. State Department of Transportation Support for Operationalizing Transit Signal Priority. Illinois Center for Transportation, 2025. https://doi.org/10.36501/0197-9191/25-005.

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Transit signal priority (TSP) systems have become an integral part of regional intelligent transportation systems integration. They modify signal operations to facilitate faster transit through intersections, improve transit service reliability, reduce delays, and enhance overall transit operational efficiency. Agencies are planning and implementing next-generation TSP systems. However, multifaceted challenges complicate TSP implementation, particularly in urban regions with high traffic density and multiple stakeholders. Exploring these challenges can help develop more efficient deployment strategies and improve system performance. This study’s researchers, therefore, examined TSP implementation challenges in the metropolitan Chicago area and interviewed stakeholders and experts from Illinois and other states to identify successes and obstacles in TSP deployment. They applied a thematic analysis and a non-negative matrix factorization method to identify key barriers. To prioritize these challenges, they developed a survey using the fuzzy analytic hierarchy process framework and had experts directly involved in TSP operations in the Chicago region participate in this survey. Study findings indicated that organizational factors—such as interagency coordination issues and labor shortages—are significant challenges. Regulatory and policy constraints, including the absence of standardized regional guidelines and concerns over equipment compatibility, further hinder TSP deployment. Financial constraints, particularly the reliance on fragmented funding sources, create uncertainty in project execution. Technological limitations, such as integration difficulties with legacy traffic control systems and the high costs of infrastructure upgrades, also impede implementation.
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West, George, Marco Velarde, and Alejandro Soriano. IDB-9: Operational Performance and Budget. Inter-American Development Bank, 2013. http://dx.doi.org/10.18235/0010526.

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In IDB-9 the Board of Governors of the Inter-American Development Bank (IDB) mandated the adoption of a results-based budgeting process (RBB) that would be aligned to and would help achieve the key performance targets of the Corporate Results Framework (CRF), as well as improve accountability and transparency. In addition, they mandated the use of a Balanced Score Card Performance Management System (BSC) that would incorporate the results from an External Feedback System (EFS). The Governors also requested that the Bank continue its efforts to improve organizational efficiency. The IDB has made significant progress in improving the quality and availability of information related to the budget and the associated work program, and in developing and enhancing the systems to support the budget planning and monitoring process. Many of the actions defined in the RBB Framework document can be considered complete from a technical perspective, but the RBB is still a work in process. One major area that RBB planners underestimated was the effort and time it would take to create an organization that uses data to manage for results. This effort must involve all levels of Management and be accompanied by appropriate incentives. Work on this cultural change has started but will extend beyond the planned three-year RBB implementation period. The BSC effort resulted in organizational learning and the development of a number of performance indicators, but it failed to achieve its objective of implementing a BSC that would provide the Bank with a Strategic Planning and Management system to help ensure the alignment of business activities with organizational strategy and provide a focused, comprehensive perspective of the Bank¿s organizational performance.The EFS is just being restarted, and preliminary results are expected in early 2013. Work is under way to improve operational efficiency, but the RBB data provide limited support to this activity, as most of the efficiency indicators are related to cycle times and not budget. OVE provides several suggestions for future work: (i) increase the focus, attention, and resources devoted to the RBB change management process to help achieve the culture change needed to create an organization that "manages for results"; (ii) plan for the involvement of all levels of Management, use internal and external experts in this process, and recognize that the process will take time; (iii) with Human Resources, create and implement incentives to recognize and reward behavior and good practices that can change the Bank¿s culture; (iv) consider raising the sponsorship level of the RBB, possibly combining it with the Program Optima governance structure; (v) focus on creating a limited set of performance indicators that drive the Bank¿s business and that link to its strategy, objectives and priorities; and (vi) reexamine the budget process to identify key constraints (for example, the head count ceiling) and reexamine the timing of performance reporting and budget allocations/reallocations to ensure alignment.
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Mas, Ignacio. Using Broadband to Enhance Financial Inclusion. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0007007.

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The progress of financial inclusion in the Latin American and Caribbean region is constrained by the high cost of providing and accessing financial services. On the client side, micro- and small-sized firms, as well as low-income households, face high transaction costs as a result of the challenges of getting to points of service and meeting documentation requirements. On the provider side, the lack of economies of scale for financial service transactions and the difficulty to obtain reliable information on these kinds of clients generate high operational costs. These elevated costs can undermine the profitability of serving these market segments that, in turn, weaken competition. This paper provides basic information relating to the prospects and constraints of using broadband channels and applications to increase financial inclusion in the region. It is a useful resource for policymakers, financial institutions, and the broader development community in the Latin American and Caribbean region.
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Revina, Shintia, Rezanti Putri Pramana, Rizki Fillaili, and Daniel Suryadarma. Systemic Constraints Facing Teacher Professional Developmentin a Middle-Income Country: Indonesia’s Experience Over Four Decades. Research on Improving Systems of Education (RISE), 2020. http://dx.doi.org/10.35489/bsgrisewp_2020/054.

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Despite government efforts to reform teacher professional development (TPD) in the past four decades, Indonesian teacher quality remains low. Why have the improvement efforts failed? In the present study we investigate what caused these reforms to fail from two angles. First, we examine the efficacy of the latest teacher professional development (TPD) initiative in Indonesia, Pengembangan Keprofesian Berkelanjutan or PKB (Continuing Professional Development), and identify the factors affecting its efficacy. We found that some essential features of effective TPD are missing in PKB. The PKB programme has not targeted teachers based on years of experience, has not followed up teachers with post-training activities, has not incorporated teaching practice through lesson enactment, and has not built upon teacher existing practice. Second, our analysis demonstrates that PKB's weaknesses have existed in Indonesia's previous TPD initiatives as far back as four decades ago. This indicates that the long-term problem of TPD’s ineffectiveness is driven by different elements of the education system beyond the TPD’s technical and operational aspects. Our system-level analysis points out that merely improving the technical aspects of TPD would be insufficient given the Indonesian education system’s lack of coherence surrounding teacher quality. The problems surrounding the provision of effective TPD is more complex than simply a matter of replacing the “old” with the “new” initiative. The change requires a reorientation of the education system to produce high-quality teachers.
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Revina, Shintia, Rezanti Putri Pramana, Rizki Fillaili, and Daniel Suryadarma. Systemic Constraints Facing Teacher Professional Development in a Middle-Income Country: Indonesia’s Experience Over Four Decades. Research on Improving Systems of Education (RISE), 2020. http://dx.doi.org/10.35489/bsg-rise-wp_2020/054.

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Despite government efforts to reform teacher professional development (TPD) in the past four decades, Indonesian teacher quality remains low. Why have the improvement efforts failed? In the present study we investigate what caused these reforms to fail from two angles. First, we examine the efficacy of the latest teacher professional development (TPD) initiative in Indonesia, Pengembangan Keprofesian Berkelanjutan or PKB (Continuing Professional Development), and identify the factors affecting its efficacy. We found that some essential features of effective TPD are missing in PKB. The PKB programme has not targeted teachers based on years of experience, has not followed up teachers with post-training activities, has not incorporated teaching practice through lesson enactment, and has not built upon teacher existing practice. Second, our analysis demonstrates that PKB's weaknesses have existed in Indonesia's previous TPD initiatives as far back as four decades ago. This indicates that the long-term problem of TPD’s ineffectiveness is driven by different elements of the education system beyond the TPD’s technical and operational aspects. Our system-level analysis points out that merely improving the technical aspects of TPD would be insufficient given the Indonesian education system’s lack of coherence surrounding teacher quality. The problems surrounding the provision of effective TPD is more complex than simply a matter of replacing the “old” with the “new” initiative. The change requires a reorientation of the education system to produce high-quality teachers.
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Chandra, Amit, ed. High performance building retrofit: IIHS Bengaluru campus Annexe II - commercial building case study. Indian Institute for Human Settlements, 2024. https://doi.org/10.24943/9788198702388.

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The IIHS Bengaluru City Campus (BCC) expansion necessitated the retrofitting of an existing commercial building into a high-performance teaching and learning space. With urban land constraints and the need for rapid execution, IIHS opted for a sustainable retrofit approach, transforming the 1,350 sqm structure into an energy-efficient and resource-conscious facility. The project focused on optimizing thermal comfort, occupant well-being, and operational efficiency through advanced design techniques, IoT-based monitoring, and innovative material choices. This book documents the planning, execution, and impact of the retrofit, demonstrating how adaptive reuse can meet the evolving demands of urban education while minimizing environmental and financial costs.
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