A study on behaviour of bullwhip effect in (R, S) inventory control system considering DWT-MGGP demand forecasting model
| Autor: | Sanjita Jaipuria, Siba Sankar Mahapatra |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Inventory control
021103 operations research Supply chain management Strategy and Management 0211 other engineering and technologies General Decision Sciences Genetic programming 02 engineering and technology Management Science and Operations Research Demand forecasting Transformation (function) Bullwhip effect Statistics 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Autoregressive integrated moving average Smoothing Mathematics |
| Zdroj: | Journal of Modelling in Management. 14:385-407 |
| ISSN: | 1746-5664 |
| DOI: | 10.1108/jm2-04-2018-0053 |
| Popis: | Purpose The purpose of this paper is to propose a forecasting model to predict the demand under uncertain environment to control the bullwhip effect (BWE) considering review-period order-up-to level ((R, S)) inventory control policy and its different variants such as (R, βS) (R, γO) and (R, γO, βS) proposed by Jakšič and Rusjan, (2008) and Bandyopadhyay and Bhattacharya (2013). Design/methodology/approach A hybrid forecasting model has been developed by combining the feature of discrete wavelet transformation (DWT) and an intelligence technique, multi-gene genetic programming (MGGP), denoted as DWT-MGGP. Performance of DWT-MGGP model has been verified under (R, S) inventory control policy considering demand from three different manufacturing companies. Findings A comparison between DWT-MGGP model and autoregressive integrated moving average forecasting model has been done by estimating forecast error and BWE. Further, this study has been extended with analysing the behaviour of BWE considering different variants of (R, S) policy such as (R,βS) (R, γO) and (R,γO,βS) and found that BWE can be moderated by controlling the inventory smoothing (β) and order smoothing parameters (γ). Research limitations/implications This study is limited to different variants of (R, S) inventory control policy. However, this study can be further extended to continuous review policy. Practical implications The proposed DWT-MGGP model can be used as a suitable demand forecasting model to control the BWE when (R, S), (R,βS) (R,γO) and (R,γO,βS)inventory control policies are followed for replenishment. Originality/value This study analyses the behavior of BWE through controlling the inventory smoothing (β) and order smoothing parameters (γ) when demand is predicted using DWT-MGGP forecasting model and order is estimated using (R, S), (R,βS) (R,γO) and (R,γO,βS) inventory control policies. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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