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Factors Affecting Demand Predict to Reduce Bullwhip Effect in Supply Chain
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Milad Rezaeefard    ، Nazanin Pilevari* ، Farshad Faezy Razi ، Reza Radfar |
| Department of Industrial Management, Islamic Azad university, West Tehran Branch ,Visitor Professor Tehran Science & Research Branch ,Tehran, Iran ، nazanin.pilevari@gmail.com |
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چکیده: (1591 مشاهده) |
| Demand planning based on demand data in the supply chain includes the most significant steps in production planning. Therefore, the supply chain's correct demand forecasting may reduce this effect, known as the bullwhip effect or uncertainty concerning customer demand, thus reducing companies' and organizations' costs and surplus activities. Therefore, this article examined the statistical population characteristics to test the hypotheses through the path analysis drawn using descriptive statistics and FCM(fuzzy cognitive map) method. Then, the model strength was investigated using structural equation modeling (SEM) in AMOS software, and structural equations were presented. This article selected the Aftab oil factory as a case study. The findings of this study emphasized that demand management performance is highly essential for industries. Companies can design the sector independently as a demand management sector for evaluating customer demands at different levels of the supply chain. According to the fit of the main model, CFI and NFI indices are equal to 0.99 and 0.97, respectively, which are close to the optimal fit threshold. RMSEA and SRMR indices are equal to 0.01 and 0.01, respectively, both showing a relatively good fit of the model. |
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متن کامل [PDF 656 kb]
(3080 دریافت)
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نوع مطالعه: پژوهشی |
موضوع مقاله:
Mathematical Modeling and Applications of OR
دریافت: 1402/5/15 | پذیرش: 1401/9/17 | انتشار: 1401/9/17
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