Inventory management improvement suggestion through time-siries forecasting for financial service company
Management is consistently facing fast-flowing and lots of changes in business, including in the inventory management. Especially for fast-moving inventories, the correct stocking, controlling, checking and safety stock calculation is highly needed to have an exquisite inventory management and to...
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my.utm.820102019-10-14T05:13:21Z http://eprints.utm.my/id/eprint/82010/ Inventory management improvement suggestion through time-siries forecasting for financial service company Adipriyana, Raditianto Jamaludin, Rosmahaida Abdul Talib, Hayati Habibah HD28 Management. Industrial Management Management is consistently facing fast-flowing and lots of changes in business, including in the inventory management. Especially for fast-moving inventories, the correct stocking, controlling, checking and safety stock calculation is highly needed to have an exquisite inventory management and to reduce the possibility of running out of inventory which leads to unavailability to meet the demand. One of the ways to overcome this is by doing an excellent and appropriate forecasting. Therefore, the objective of this concept paper is to analyse and recommend tools to improve inventory management using the appropriate time-series forecasting method. The firm studied in this study is serving its employees as customers that demand the routine items including stationeries and other routine products to support their job as auditors and consultants for its client. However, there are occasions when there is out-of-stock situation for fast-moving items, especially in the peak season period. Furthermore, the firm is only applying replenishment based on the used inventories from the previous month. Therefore, this study suggests to eliminate out-of-stock items situation by applying precaution initiatives such as time-series forecasting. This study is planned to employ 10 time-series forecasting methods such as moving average, exponential smoothing, regression analysis, Holt-Winters analysis, Seasonal analysis and Autoregressive Integrated Moving Average (ARIMA) using Risk Simulator Software. By simulating those methods, the most appropriate method is selected based on the forecasting accuracy measurement. Penerbit Akademia Baru 2018 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/82010/1/RaditiantoAdipriyana2018_InventoryManagementImprovementSuggestionthroughTime.pdf Adipriyana, Raditianto and Jamaludin, Rosmahaida and Abdul Talib, Hayati Habibah (2018) Inventory management improvement suggestion through time-siries forecasting for financial service company. Journal Of Advanced Research Design, 49 (1). pp. 7-14. ISSN 2289-7984 http://www.akademiabaru.com/doc/ARDV49_N1_P7_14.pdf |
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HD28 Management. Industrial Management Adipriyana, Raditianto Jamaludin, Rosmahaida Abdul Talib, Hayati Habibah Inventory management improvement suggestion through time-siries forecasting for financial service company |
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Management is consistently facing fast-flowing and lots of changes in business, including in the inventory management. Especially for fast-moving inventories, the correct stocking, controlling, checking and safety stock calculation is highly needed to have an exquisite inventory management and to reduce the possibility of running out of inventory which leads to unavailability to meet the demand. One of the ways to overcome this is by doing an excellent and appropriate forecasting. Therefore, the objective of this concept paper is to analyse and recommend tools to improve inventory management using the appropriate time-series forecasting method. The firm studied in this study is serving its employees as customers that demand the routine items including stationeries and other routine products to support their job as auditors and consultants for its client. However, there are occasions when there is out-of-stock situation for fast-moving items, especially in the peak season period. Furthermore, the firm is only applying replenishment based on the used inventories from the previous month. Therefore, this study suggests to eliminate out-of-stock items situation by applying precaution initiatives such as time-series forecasting. This study is planned to employ 10 time-series forecasting methods such as moving average, exponential smoothing, regression analysis, Holt-Winters analysis, Seasonal analysis and Autoregressive Integrated Moving Average (ARIMA) using Risk Simulator Software. By simulating those methods, the most appropriate method is selected based on the forecasting accuracy measurement. |
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Article |
author |
Adipriyana, Raditianto Jamaludin, Rosmahaida Abdul Talib, Hayati Habibah |
author_facet |
Adipriyana, Raditianto Jamaludin, Rosmahaida Abdul Talib, Hayati Habibah |
author_sort |
Adipriyana, Raditianto |
title |
Inventory management improvement suggestion through time-siries forecasting for financial service company |
title_short |
Inventory management improvement suggestion through time-siries forecasting for financial service company |
title_full |
Inventory management improvement suggestion through time-siries forecasting for financial service company |
title_fullStr |
Inventory management improvement suggestion through time-siries forecasting for financial service company |
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Inventory management improvement suggestion through time-siries forecasting for financial service company |
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inventory management improvement suggestion through time-siries forecasting for financial service company |
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Penerbit Akademia Baru |
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2018 |
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http://eprints.utm.my/id/eprint/82010/1/RaditiantoAdipriyana2018_InventoryManagementImprovementSuggestionthroughTime.pdf http://eprints.utm.my/id/eprint/82010/ http://www.akademiabaru.com/doc/ARDV49_N1_P7_14.pdf |
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