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41 to 50 of 1,206 Results

Exemplares_Classe3.docx Mar 3, 2026 - Exemplary classes generated for the study of generalized resource allocation with priorities MS Word - 177.8 KB - MD5: ac44d78aabf7cac91ffcc1a13c1f3893 Five instances were created by varying the number of available shifts. The goal was to understand how working time extensions affect the results and the efficiency of resource allocation.
Exemplares_Classe4.docx Mar 3, 2026 - Exemplary classes generated for the study of generalized resource allocation with priorities MS Word - 315.4 KB - MD5: d6b291ab10cd93ed33dce75a692acf49 This class reuses data from Class 1 but introduces resource prioritization. The objective was to assess how prioritization affects the optimal allocation of resources of type m.
Exemplares_Classe5.docx Mar 3, 2026 - Exemplary classes generated for the study of generalized resource allocation with priorities MS Word - 252.8 KB - MD5: d95c657b11243d0654b1942a3bddfd91 Based on Class 2 data, this class adds prioritization among resources, allowing analysis of how this additional constraint impacts results under different workload conditions.
Exemplares_Classe6.docx Mar 3, 2026 - Exemplary classes generated for the study of generalized resource allocation with priorities MS Word - 182.2 KB - MD5: 356fee95daa010b84da61f8c3895f43e Derived from Class 3, this class also incorporates resource priorities, enabling the study of their influence on optimal allocation when varying numbers of shifts are available.
Exemplar_Real_Portfolio_II_vFinal.docx Mar 3, 2026 - Exemplary classes generated for the study of generalized resource allocation with priorities MS Word - 136.9 KB - MD5: 220d537676ccd7b867f0c326892c9f83 This instance was based on a real-world problem from the graphic industry, as described in the literature. It was used as a benchmark to validate the proposed model in practical scenarios, reinforcing its applicability and robustness.
Chapter 2 statistics (1).py Mar 2, 2026 - Fermentação de bagaço de cana-de-açúcar por bactérias termofílicas em crescentes concentração de sólidos: experimentos de caracterização e análise técnico-econômica Python Source Code - 2.9 KB - MD5: 88ae9268b78e05f101ba27321425f3d9 Code for chapter 2 statistics
INFO-ANALISE-MS3000-25-013.rtf Mar 2, 2026 - Fermentação de bagaço de cana-de-açúcar por bactérias termofílicas em crescentes concentração de sólidos: experimentos de caracterização e análise técnico-econômica MS Word - 59.7 KB - MD5: 935a93a1750baf0574dc60dafcf1c614 Informações referentes a analise de distribuiçao de partículas
particle_size_analysis_code.py Mar 2, 2026 - Fermentação de bagaço de cana-de-açúcar por bactérias termofílicas em crescentes concentração de sólidos: experimentos de caracterização e análise técnico-econômica Python Source Code - 7.2 KB - MD5: 5e0c470616076aadefc45f9a4651fbc1 Code for particle size distribution analysis
Summary LRAC.tab Mar 2, 2026 - Fermentação de bagaço de cana-de-açúcar por bactérias termofílicas em crescentes concentração de sólidos: experimentos de caracterização e análise técnico-econômica Tabular Data - 19.4 KB - 14 Variables, 100 Observations - UNF:6:K4TIIAJX44PuDeRGliZWIw== Dados referentes a analise de distribuiçao de partículas
Supplementary tables chapter 2.tab Mar 2, 2026 - Fermentação de bagaço de cana-de-açúcar por bactérias termofílicas em crescentes concentração de sólidos: experimentos de caracterização e análise técnico-econômica Tabular Data - 30.5 KB - 47 Variables, 63 Observations - UNF:6:IlAiB0M4EbM6CDbasdEwkw== Dados referentes ao capítulo 2 da tese de doutorado associada.

Exemplares_Classe3.docx

Mar 3, 2026 - Exemplary classes generated for the study of generalized resource allocation with priorities

MS Word - 177.8 KB -

Five instances were created by varying the number of available shifts. The goal was to understand how working time extensions affect the results and the efficiency of resource allocation.

Exemplares_Classe4.docx

Mar 3, 2026 - Exemplary classes generated for the study of generalized resource allocation with priorities

MS Word - 315.4 KB -

This class reuses data from Class 1 but introduces resource prioritization. The objective was to assess how prioritization affects the optimal allocation of resources of type m.

Exemplares_Classe5.docx

Mar 3, 2026 - Exemplary classes generated for the study of generalized resource allocation with priorities

MS Word - 252.8 KB -

Based on Class 2 data, this class adds prioritization among resources, allowing analysis of how this additional constraint impacts results under different workload conditions.

Exemplares_Classe6.docx

Mar 3, 2026 - Exemplary classes generated for the study of generalized resource allocation with priorities

MS Word - 182.2 KB -

Derived from Class 3, this class also incorporates resource priorities, enabling the study of their influence on optimal allocation when varying numbers of shifts are available.

Exemplar_Real_Portfolio_II_vFinal.docx

Mar 3, 2026 - Exemplary classes generated for the study of generalized resource allocation with priorities

MS Word - 136.9 KB -

This instance was based on a real-world problem from the graphic industry, as described in the literature. It was used as a benchmark to validate the proposed model in practical scenarios, reinforcing its applicability and robustness.

Chapter 2 statistics (1).py

Mar 2, 2026 - Fermentação de bagaço de cana-de-açúcar por bactérias termofílicas em crescentes concentração de sólidos: experimentos de caracterização e análise técnico-econômica

Python Source Code - 2.9 KB -

Code for chapter 2 statistics

INFO-ANALISE-MS3000-25-013.rtf

Mar 2, 2026 - Fermentação de bagaço de cana-de-açúcar por bactérias termofílicas em crescentes concentração de sólidos: experimentos de caracterização e análise técnico-econômica

MS Word - 59.7 KB -

Informações referentes a analise de distribuiçao de partículas

particle_size_analysis_code.py

Mar 2, 2026 - Fermentação de bagaço de cana-de-açúcar por bactérias termofílicas em crescentes concentração de sólidos: experimentos de caracterização e análise técnico-econômica

Python Source Code - 7.2 KB -

Code for particle size distribution analysis