2012
DOI: 10.1080/00207543.2011.637091
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Impact of the pull and push‐pull policies on the performance of a three‐stage supply chain

Abstract: We investigate the performance of two common operating policies (i.e., pull and push-pull) for a maketo-stock product in an un-capacitated, three-stage supply chain. The pull policy operates based on periodic orders received from the immediate downstream facility. However, in the push-pull policy, while processes upstream of the order decoupling point are managed by the push policy, the downstream processes are managed by the pull policy. Simulation experiments are conducted to examine the impact of each opera… Show more

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Cited by 11 publications
(2 citation statements)
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References 26 publications
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“…The traditional supply chain operation mode can be divided into three forms: push style, pull style and radical style. For the push style, the upstream enterprises create their production plans after making predictions on the market, and then the downstream enterprises create plans based on upstream enterprises (Santosh Mahapatra et al , 2012). In this mode, the upstream enterprises play a leading role in the operation of the entire supply chain, and coordinate the activities of each member enterprise through planning.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The traditional supply chain operation mode can be divided into three forms: push style, pull style and radical style. For the push style, the upstream enterprises create their production plans after making predictions on the market, and then the downstream enterprises create plans based on upstream enterprises (Santosh Mahapatra et al , 2012). In this mode, the upstream enterprises play a leading role in the operation of the entire supply chain, and coordinate the activities of each member enterprise through planning.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Kumar, Chandra, and Seppanen () enhanced their single‐player beer game simulation (e.g., using Visio and Crystal Reports) to facilitate student learning about challenges in production logistics systems. Other extensions of software‐based simulations include Mahapatra, Yu, and Mahmoodi () which focused on push‐pull policies in three‐stage supply chains and Siddiqui, Khan, and Akhtar () which developed an e‐learning simulator that imitated an end‐to‐end supply chain. Recently (2016), Sarkar and Kumar reported positive learning outcomes about supply chain disruptions using their online version of the beer game.…”
Section: Introductionmentioning
confidence: 99%