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).
The book presents a discussion about productivity and efficiency, illustrating the potentials of use and conceptual differences. It covers the concepts and techniques for analysis of productivity and efficiency, analyzing critical benefits and limitations, explains in detail how to use DEA for analysis, provides innovative methods for using DEA, offers a free online computer tool with a direction guide, shows real empirical applications, and covers other techniques that can be used to complement the analysis performed.
The book is for professionals, managers, consultants, students working and taking courses in productive systems of goods and services.
Ancillary materials include a free online computer tool to operationalize the concepts and methods proposed in the book, a guide on how to use the method and the software developed for the DEA application. Solutions manual, instructor’s manual, PowerPoint slides, and figure slides also will be available upon qualified adoption.
Table of Contents
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.
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.
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