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Enregistrement W4213066012 · doi:10.1287/inte.1100.0553

Contributors

2011· article· en· W4213066012 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
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Notice bibliographique

RevueINFORMS Journal on Applied Analytics · 2011
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueRisk and Safety Analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBusinessComputer scienceEngineering

Résumé

récupéré en direct d'OpenAlex

Gerkotze Bonthuys (“ Innovative Decision Support in a Petrochemical Production Environment ”) has an MSc degree in chemical engineering. He has been working for Sasol as a process engineer since 2008. He started in the Secunda gas production environment and currently works in the gas and utilities environment focusing on air separation. He has used the gas factory model to study the feasibility of the expansion of production capacity at gasification and the effect of installing additional cooling capacity at gas cooling on production throughput. He enjoys stochastic modeling because he can use his skills as a process engineer and his experience in the gas production environment to analyze and scrutinize the stochastic results and ultimately improve productivity across a larger value chain. Ebert Cawood (“ Innovative Decision Support in a Petrochemical Production Environment ”) is a chemical engineer at Sasol. He was introduced to stochastic modeling while looking for a better way to model a solids-handling batch-operating plant. He worked in the operations research group in 2008 where he built a stochastic model of Sasol's Benfield units. This forms part of the gas factory model. Although no longer part of the operations research group, he still uses a stochastic model, primarily to do stock predictions and to plan statutory shutdowns for the Sasol synfuels catalyst plant. Jay Cunningham (“ Taking the Politics Out of Paving: Achieving Transportation Asset Management Excellence Through OR ”) has worked as a professional engineer in private, university, and public sectors. He is assistant director of maintenance and environment with the New Brunswick Department of Transportation (NBDoT). He has worked in various positions within the NBDoT, including asset management, corridor planning, fleet services, policy development, and highway operations. Jay holds a bachelor's degree in civil engineering and a master's of science degree in transportation engineering from the University of New Brunswick, Canada. Miguel de Lascurain (“ INDEVAL Develops a New Operating and Settlement System Using Operations Research ”) is a professor in the Department of Industrial and Operations Engineering at the Instituto Tecnológico Autónomo de México. He earned his PhD in systems engineering from the University of Waterloo and a postdoctoral degree in finance from Tulane University. He is interested in the applications of OR in finance. Luis de los Santos (“ INDEVAL Develops a New Operating and Settlement System Using Operations Research ”) is head of the subdivision of securities settlement systems and central counterparties at the Bank of Mexico. He earned a master's degree in finance from the Instituto Tecnológico Autónomo de México and has worked in the Mexican Central Bank's payment system division for 13 years. Esmi Dreyer (“ Innovative Decision Support in a Petrochemical Production Environment ”) is an assistant operations researcher in Sasol's stochastic operations modelling team. This is her first job after completing a BSc (honors) in chemistry with mathematics and applied mathematics in 2008. Her stochastic modeling experiences have included the sizing of various product tanks and upgrading the interface of the gas factory model. She enjoys working in OR because it allows her to illuminate the underlying structure of the world around her while satisfying her need to do something practical, sensible, and useful. Ingrid Farasyn (“ Inventory Optimization at Procter & Gamble: Achieving Real Benefits Through User Adoption of Inventory Tools ”) leads the European branch of the PS Analytics organization of Procter & Gamble. She focuses on supply network design, inventory modeling, and decision analysis. She holds an MSc in engineering from the Catholic University of Leuven, Belgium and the University of Calgary, Canada. She is CPIM and CSCP certified. She has coauthored several papers that have been published in Interfaces and the European Journal of Operational Research. Andrea Feunekes (“ Taking the Politics Out of Paving: Achieving Transportation Asset Management Excellence Through OR ”) is a founding partner and co-CEO of Remsoft. An award-winning entrepreneur, she is responsible for the company's strategic direction and plays a leading role in the day-to-day operations of the business. Under her leadership, Remsoft has grown from a start-up with a handful of key clients in the early 1990s to a leading provider of software and services for sustainable management in use on six continents. Andrea holds a bachelor's degree in outdoor recreation (honors) and a BA in geography from Lakehead University in Thunder Bay, a postgrad diploma in secondary education (geography) from McGill University in Montreal, and a master's of science in forestry from the University of New Brunswick, Canada. Ugo Feunekes (“ Taking the Politics Out of Paving: Achieving Transportation Asset Management Excellence Through OR ”) is cofounder and chief technology officer of Remsoft. He is regarded as the leading developer of software for integrated land management using linear programming technologies. He leads Remsoft's research and development program and overall product development and provides direction for the company's training, service, and maintenance programs. Under his direction, the Remsoft system has become the most widely used software application for resource management in public and private sector organizations around the world. Ugo holds a BS degree in forestry from Lakehead University, a BS in computer science and mathematics from McGill University, and an MS in forestry from the University of New Brunswick, Canada. Marc Fischer (“ Managing Global Brand Investments at DHL ”) holds the Chair of Business Administration with specialization in marketing and services at the University of Passau, Germany. His expertise includes the measurement and management of marketing performance, brand management, and the optimization of the marketing mix. His research appears in journals such as Marketing Science, the Journal of Marketing Research, and Quantitative Marketing and Economics. Michele Fisher (“ Innovative Decision Support in a Petrochemical Production Environment ”) stumbled on a career in OR after completing a BSc (honors) in mathematics at Queen's University in Canada. The subsequent 20 years have exposed her to a range of problems in support of operations at the Department of National Defence in Canada, the North Atlantic Treaty Organization in the Netherlands, peacekeeping operations in Bosnia-Herzegovina and Afghanistan, and now for Sasol in South Africa. She is a generalist with many techniques in her OR toolbox. She loves the challenge of problem definition and the rewards of presenting results that provide immediate and relevant decision support. She is a senior operations researcher in the stochastic operations modeling team at Sasol Technology. Her work is focused on discrete event simulation modeling of energy and steam in the petrochemical production processes and on human resources modeling. Tjark Freundt (“ Managing Global Brand Investments at DHL ”) is a partner at McKinsey & Company, based in Hamburg, Germany. He serves clients mainly in logistics, travel, and utilities on marketing and sales topics. His specific expertise includes brand management and sales. Tjark studied business administration at the Leipzig Graduate School of Management, where he also earned a PhD for his work on branding. Wolfgang Giehl (“ Managing Global Brand Investments at DHL ”) is head of global branding and advertising at Deutsche Post DHL. He joined the company, at that time Deutsche Post World Net, in 1995 and subsequently led key projects such as the IPO and the launch of DHL as a global logistics brand. He manages all brand-related matters for DHL across all DHL entities, express, supply chain, and global forwarding/freight. Francisco J. Herrería (“ INDEVAL Develops a New Operating and Settlement System Using Operations Research ”) is chief settlement officer at INDEVAL, the Mexican central securities depository. He graduated from the Banking and Commercial School with a bachelor's degree in accountancy and earned a master's degree in business administration from the Instituto Panamericano de Alta Dirección de Empresa (IPADE). Salal Humair (“ Inventory Optimization at Procter & Gamble: Achieving Real Benefits Through User Adoption of Inventory Tools ”) is a visiting associate professor at the Harvard School of Public Health, and an associate professor at the School of Science and Engineering, Lahore University of Management Sciences in Pakistan. He received his doctorate in OR at the Massachusetts Institute of Technology. His current research interests are in applying OR to large-scale systems such as health-care and water systems. Johan Janse van Rensburg (“ Innovative Decision Support in a Petrochemical Production Environment ”) has an MSc degree in OR and was previously employed by South Africa's Council for Scientific and Industrial Research, where he was involved in various OR projects, including some stochastic simulation projects with Sasol. In 2008 he joined the Sasol OR group. He is a senior operations researcher in the stochastic operations modeling team and is responsible for the fuels blending model of the petrol and diesel blending facilities at Sasol. Jaco Joubert (“ Innovative Decision Support in a Petrochemical Production Environment ”) has a BEng in industrial engineering and began his career at Sasol in 2001. He is a senior operations researcher. He has been involved in stochastic simulation modeling since 2002. Throughout hi

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,902
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,133
Tête enseignante GPT0,342
Écart entre enseignants0,209 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle