SUPPORTING LEAN CONCEPTS IMPLEMENTATION IN SMALL MEDIUM ENTERPRISES (SMEs): A CASE STUDY FROM THE ROMANIAN INDUSTRY
This paper proposes a solution to the fundamental problem of maximizing productivity by reducing the costs in a small sized manufacturing company. The steps taken in tackling this commonly faced issue are prompted by the review of existing literature on Lean and Just in Time manufacturing, some of...
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| Format: | Article |
| Language: | English |
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Studia Universitatis Babes-Bolyai
2020-06-01
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| Series: | Studia Universitatis Babeş-Bolyai Negotia |
| Subjects: | |
| Online Access: | http://193.231.18.162/index.php/subbnegotia/article/view/2504 |
| _version_ | 1827390003986038784 |
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| author | Vlad TOMUS Emanuel-Emil SAVAN |
| author_facet | Vlad TOMUS Emanuel-Emil SAVAN |
| author_sort | Vlad TOMUS |
| collection | DOAJ |
| description |
This paper proposes a solution to the fundamental problem of maximizing productivity by reducing the costs in a small sized manufacturing company. The steps taken in tackling this commonly faced issue are prompted by the review of existing literature on Lean and Just in Time manufacturing, some of the concepts being first introduced at Toyota in the 20th century. The approached case study is based on a small manufacturing company of P.V.C. related products. Both qualitative and quantitative aspects are taken into account when analyzing the implementation of the proposed management process e.g. number of employees directly involved in the manufacturing process, relationship with suppliers, sales, inventories, incomes, expenses (up to 60 months of historic data). For providing an insight into expected future sales, this paper conducts a detailed time series analysis. In developing the forecasting model, three smoothing methods have been tested: simple moving average, autoregressive integrated moving average (ARIMA), and exponential smoothing. Also, different regression models have been considered e.g. simple linear and polynomial. Simple linear regression was considered to provide the best balance between model complexity and the accuracy of the predictions.
JEL Classification: C22
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| first_indexed | 2024-03-08T16:45:08Z |
| format | Article |
| id | doaj.art-5a62c2967472459db812aa4052e0a1d4 |
| institution | Directory Open Access Journal |
| issn | 2065-9636 |
| language | English |
| last_indexed | 2024-03-08T16:45:08Z |
| publishDate | 2020-06-01 |
| publisher | Studia Universitatis Babes-Bolyai |
| record_format | Article |
| series | Studia Universitatis Babeş-Bolyai Negotia |
| spelling | doaj.art-5a62c2967472459db812aa4052e0a1d42024-01-05T09:42:25ZengStudia Universitatis Babes-BolyaiStudia Universitatis Babeş-Bolyai Negotia2065-96362020-06-0165210.24193/subbnegotia.2020.2.04SUPPORTING LEAN CONCEPTS IMPLEMENTATION IN SMALL MEDIUM ENTERPRISES (SMEs): A CASE STUDY FROM THE ROMANIAN INDUSTRYVlad TOMUS0Emanuel-Emil SAVAN1Bachelor, Faculty of Business, Babes-Bolyai University, Cluj-Napoca, Romania, vladtom98@gmail.comAssist. Prof. dr., Faculty of Business, Babes-Bolyai University, Cluj-Napoca, Romania, emanuel.savan@tbs.ubbcluj.ro This paper proposes a solution to the fundamental problem of maximizing productivity by reducing the costs in a small sized manufacturing company. The steps taken in tackling this commonly faced issue are prompted by the review of existing literature on Lean and Just in Time manufacturing, some of the concepts being first introduced at Toyota in the 20th century. The approached case study is based on a small manufacturing company of P.V.C. related products. Both qualitative and quantitative aspects are taken into account when analyzing the implementation of the proposed management process e.g. number of employees directly involved in the manufacturing process, relationship with suppliers, sales, inventories, incomes, expenses (up to 60 months of historic data). For providing an insight into expected future sales, this paper conducts a detailed time series analysis. In developing the forecasting model, three smoothing methods have been tested: simple moving average, autoregressive integrated moving average (ARIMA), and exponential smoothing. Also, different regression models have been considered e.g. simple linear and polynomial. Simple linear regression was considered to provide the best balance between model complexity and the accuracy of the predictions. JEL Classification: C22 http://193.231.18.162/index.php/subbnegotia/article/view/2504lean, just-in-time, time series analysis, forecasting, simple moving average (SMA), autoregressive integrated moving average (ARIMA), exponential smoothing. |
| spellingShingle | Vlad TOMUS Emanuel-Emil SAVAN SUPPORTING LEAN CONCEPTS IMPLEMENTATION IN SMALL MEDIUM ENTERPRISES (SMEs): A CASE STUDY FROM THE ROMANIAN INDUSTRY Studia Universitatis Babeş-Bolyai Negotia lean, just-in-time, time series analysis, forecasting, simple moving average (SMA), autoregressive integrated moving average (ARIMA), exponential smoothing. |
| title | SUPPORTING LEAN CONCEPTS IMPLEMENTATION IN SMALL MEDIUM ENTERPRISES (SMEs): A CASE STUDY FROM THE ROMANIAN INDUSTRY |
| title_full | SUPPORTING LEAN CONCEPTS IMPLEMENTATION IN SMALL MEDIUM ENTERPRISES (SMEs): A CASE STUDY FROM THE ROMANIAN INDUSTRY |
| title_fullStr | SUPPORTING LEAN CONCEPTS IMPLEMENTATION IN SMALL MEDIUM ENTERPRISES (SMEs): A CASE STUDY FROM THE ROMANIAN INDUSTRY |
| title_full_unstemmed | SUPPORTING LEAN CONCEPTS IMPLEMENTATION IN SMALL MEDIUM ENTERPRISES (SMEs): A CASE STUDY FROM THE ROMANIAN INDUSTRY |
| title_short | SUPPORTING LEAN CONCEPTS IMPLEMENTATION IN SMALL MEDIUM ENTERPRISES (SMEs): A CASE STUDY FROM THE ROMANIAN INDUSTRY |
| title_sort | supporting lean concepts implementation in small medium enterprises smes a case study from the romanian industry |
| topic | lean, just-in-time, time series analysis, forecasting, simple moving average (SMA), autoregressive integrated moving average (ARIMA), exponential smoothing. |
| url | http://193.231.18.162/index.php/subbnegotia/article/view/2504 |
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