Fabio Sartori Piran, Daniel Pacheco Lacerda, Luis Felipe Riehs Camargo

Analysis and Management of Productivity and Efficiency in Production Systems for Goods and Services (eBook, ePUB)

• Format: ePub

Produktbeschreibung

In companies that produce goods and services, productivity and efficiency improvements are a constant challenge. This book reviews the differences between productivity and efficiency. It proposes a new method and makes available a computational tool for implementation that contributes to facilitating the use of Data Envelopment Analysis (DEA).

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 229
• Erscheinungstermin: 8. Januar 2020
• Englisch
• ISBN-13: 9781000766516
• Artikelnr.: 58489618

Autorenporträt

Fabio Sartori Piran: PhD candidate in Industrial and Systems Engineering at Universidade do Vale do Rio dos Sinos - UNISINOS. Master's in industrial and Systems Engineering at UNISINOS. Bachelor in Logistics from UNISINOS. Higher Education in Production Management at Universidade Feevale. Researcher at GMAP/UNISINOS. Consultant partner in the Hahn Piran Costs Business, a company providing Consultancy and Training in the areas of Operations Management, Production Systems, Process Mapping, Cost Management and Control. Experience in costs management with emphasis on cost reduction, loss analysis, control and organization of inventory, and implementation of management tools. Also works in the industrial area with emphasis on planning, programming and production and materials control (PPCPM), chrono analysis, layout and production management. Has developed major projects in small, medium and large national and multinational companies of footwear, artifacts, textiles, engineering, food and retail. Professor at Universidade FEEVALE.

Daniel Pacheco Lacerda: PhD in Production Engineering awarded by COPPE/UFRJ. Master's in Administration from UNISINOS (2005). CNPq Research Productivity Scholar (PQ-2) in the ¿¿Production Engineering area since 2017. A co-ordinator of the Bachelor Program in Production Engineering/UNISINOS. Possesses professional and academic experience in the areas of Operations Strategy, Business Process Engineering, Data Envelopment Analysis, Design Science Research and Restriction Theory. Currently a permanent researcher in the Graduate Program in Industrial and Systems Engineering - PPGEPS/UNISINOS, and an academic co-ordinator of the GMAP/UNISINOS (Research Group on Modeling for Learning). Develops applied research projects in companies and public entities, such as FIOCRUZ/Bio-Manguinhos, PETROBRAS, TRANSPETRO, JBS, AGDI, SEBRAE/RS, SESI and VALE. Obtained academic awards: Outstanding Paper Award for Excellence of the Emerald Literati Network, orientation of dissertations awarded by ABEPRO in 2013/2014/2015, Gaúcho Researcher Award - FAPERGS 2014 (category: Researcher in Company), and a CNPq grant to study Productivity in Innovation, Technological Development and Extension (2013-2016).

Luis Felipe Riehs Camargo: PhD in Administration from UNISINOS (2013) with a period spent at Erasmus University Rotterdam (Supervisor: Guilherme Liberali Neto). Holds a Masters in Production Engineering from UNISINOS (2009) and a Bachelor degree in Electrical Engineering from Pontifícia Universidade Católica do Rio Grande do Sul (2005). Possesses experience as a researcher in computer simulation projects and mathematical modeling in projects developed at UNISINOS and Erasmus University. Also develops applied research projects in companies and other organizations, such as Samarco, Petrobras, SEBRAE, Vale and Grupo Randon.

Inhaltsangabe

1. Introduction. 2. Vision of Productivity and Efficiency from a Systemic
Perspective. 3. Practical Problems in Productivity and Efficiency. 4.
Techniques for Calculating Productivity and Efficiency. 5. Data Envelopment
Analysis (DEA). 6. DEA Modeling Method (DEAMM). 7. Illustrating the
Application of the DEAMM. 8. Applications for DEA Calculations. 9.Two-Stage
Analysis: Techniques for Joint Assessment with the DEA. 10. Examples of DEA
Application. 11. Exercises. 12. Future Perspectives.