Application of multi-steps forecasting for restraining the bullwhip effect and improving inventory performance under autoregressive demand

Chandra, Charu; Grabis, Jānis

doi:10.1016/j.ejor.2004.02.012

Cited by 78 publications

(32 citation statements)

References 12 publications

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“…Chen et al (2000) earlier obtained similar results, statistically deriving a closed form expression for the lower bound of the bullwhip effect in a two-stage supply chain employing Order-Up-To with moving average forecasting method and facing an autoregressive AR(1) demand process. Many studies have attempted to quantify the combined impact of Order-Up-To policy with different forecasting methods (Chen et al, 2000;Dejonckheere et al, 2003;Zhang, 2004;Chandra & Grabis, 2005;Kelepouris, Miliotis, & Pramatari, 2008;Wright & Yuan, 2008), and lead-time (Chen et al, 2000;Chatfield et al, 2004;Zhang, 2004;Chandra & Grabis, 2005;Kelepouris et al, 2008;Agrawal, Sengupta, & Shanker, 2009). Furthermore, the impact of collaboration and information sharing, as a bullwhip effect avoidance approach, has been evaluated and quantified in supply chains employ the order-up-to policy (Chen et al, 2000;Chatfield et al, 2004;Kelepouris et al, 2008;Costantino, Di Gravio, Shaban, & Tronci, 2013b, 2014c.…”

Section: Retailermentioning

confidence: 99%

The impact of information sharing on ordering policies to improve supply chain performances

Costantino

Gravio

Shaban

et al. 2015

Computers & Industrial Engineering

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Section: Retailermentioning

confidence: 99%

The impact of information sharing on ordering policies to improve supply chain performances

Costantino

Gravio

Shaban

et al. 2015

Computers & Industrial Engineering

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“…Obviously, the influence factors of trend value and seasonal fluctuation should be introduced in wire rope of navigation marks prediction research. Therefore, single exponential smoothing forecast can be unsuited for navigation marks' spare parts' prediction research [7][8] .…”

Section: Navigation Marks' Spare Parts Demand In Yangtze Rivermentioning

confidence: 99%

Spare Parts Demand Prediction Research of Navigation Marks Based on the Method of Quadratic Exponential Smoothing

Wen¹

2017

Proceedings of the 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017)

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This paper aims to research and provide a reasonable prediction method that can be applied on routine work of navigation marks. On one hand, the reasonable prediction method can help maintenance and management unit to reduce cost and relative risk. On the other hand, according to Yangtze river waterway practical condition and historical consumption data of navigation marks' spare parts, the study has shown the quadratic exponential smoothing method be adopted in actual consumption research can satisfy the requirement of demand prediction.

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“…Ng, Partington and Sculli (1993) are of the opinion that long lead times and large usage fluctuation call for higher re-order stock levels and viceversa. Chandra and Grabis (2005) argue that a reduction in the inventory replenishment lead-time allows reducing safety stock and improving customer service. Wallin, Rugtusanatham and Rabinovitch (2006) also view lead-time as an important inventory element.…”

Section: Inventory Management In Smes: a Review Of Literaturementioning

confidence: 99%

Inventory management performance in machine tool SMEs: What factors do influence them?

Pillai

2010

JIEM

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Small and Medium Enterprises (SMEs) are one of the principal driving forces in the development of an economy because of its significant contribution in terms of number of enterprises, employment, output and exports in most developing as well as developed countries. But SMEs, particularly in developing countries like India, face constraints in key areas such as technology, finance, marketing and human resources. Moreover these SMEs have been exposed to intense competition since early 1990s because of globalization.However, globalization, the process of continuing integration of the countries in the world has opened up new opportunities for SMEs of developing countries to cater to wider international market which brings out the need for these SMEs to develop competitiveness for their survival as well as growth. It is observed from literature that pursuing appropriate IM practice is one of the ways of acquiring competitiveness among others, by effectively managing and minimizing inventory investment. Inventory management can therefore be one of the crucial determinants of competitiveness as well as operational performance of

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Application of multi-steps forecasting for restraining the bullwhip effect and improving inventory performance under autoregressive demand

Cited by 78 publications

References 12 publications

The impact of information sharing on ordering policies to improve supply chain performances

The impact of information sharing on ordering policies to improve supply chain performances

Spare Parts Demand Prediction Research of Navigation Marks Based on the Method of Quadratic Exponential Smoothing

Inventory management performance in machine tool SMEs: What factors do influence them?

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