Efficiency Frontier Identification on the Context of Operations Strategy – A Study on Representative Constructs and Variables
| Autor: | Sergio Eduardo Gouvea da Costa, Gabriela Lobo Veiga, Edson Pinheiro de Lima, Eileen M. Van Aken |
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| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Decision support system education.field_of_study Operations research Computer science Process (engineering) Population Efficient frontier Context (language use) 02 engineering and technology Organizational performance Industrial and Manufacturing Engineering Identification (information) 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Artificial Intelligence Production (economics) education |
| Zdroj: | Procedia Manufacturing. 39:745-755 |
| ISSN: | 2351-9789 |
| DOI: | 10.1016/j.promfg.2020.01.436 |
| Popis: | The efficiency frontier is a function that indicates the maximum level of attainable performance result by a given set of inputs. The frontier is estimated based on the observation population of companies’ inputs and outputs, considering a representative sample. On the operations strategy context, inputs can be understood as the competitive priorities, with should be managed to lead through a superior organizational performance. Some methods for calculating technical efficiency are proposed in literature and all of them requires inputting and output variables. This paper presents a process for defining variables based on statically analysis of the round 4 of High-Performance Manufacturing (HPM) data. The HPM project seeks to identify the practices adopted by high performance organizations and applies a survey with companies in 18 countries. The survey includes 1597 questions in 12 categories, culminating in a huge set of variables. Multivariate Data Analysis techniques are performed to establish a representative set of variables. As a result, we present the constructs to evaluate each input and output performance. This is an important contribution for the development of a Decision Support Systems for Manufacturing based on the frontier estimation techniques, which could be seen as a representative innovation to operations management and production research. |
| Databáze: | OpenAIRE |
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