Supply chain relational capital and the bullwhip effect
نویسندگان
چکیده
منابع مشابه
The Bullwhip Effect in Supply Chain
In a supply chain the variability of the orders received by the supplier can be greater than the demand variability. This phenomenon is named bullwhip effect. Some researchers are quantified the bullwhip by measuring the differences between observed variances in the different stages of the supply chain. The bullwhip effect refers to the phenomenon of amplification and distortion of demand in a ...
متن کاملThe bullwhip effect in the closed loop supply chain
A simple system dynamics model of a traditional/closed loop supply chain system is investigated. Particularly, the effect of remanufacture, remanufacturing lead-time and the return rate on the inventory variance and bullwhip effect were studied. Our results clearly showed that the bullwhip in the closed loop supply chain is bigger than one in traditional supply chain and foreign to the collecti...
متن کاملThe impact of the supply chain structure on bullwhip effect
The aim of this paper is to study how the structural factors of supply chain networks, (i.e. the number of echelons, the number of nodes and the distribution of links) impact on its dynamics performance (i.e. bullwhip effect). To do so, we systematically model multiple structures according to a robust design of experiments and simulate such structures under two different market demand scenarios...
متن کاملBullwhip Effect Reduction: the Impact of Supply Chain Flexibility
The study addresses the impact of flexibility on the bullwhip effect, i.e. the increase of demand variability moving upstream along the SC. With this aim, a three stages SC is investigated, where producers/suppliers/retailers are connected by appropriate inventories. A reorder quantity ROQ (constant time interval) as stock policy has been adopted. The analysis takes into consideration two extre...
متن کاملSimulation Analysis for the Bullwhip Effect in Supply Chain Model
This paper introduces the confidence interval estimate for measuring the bullwhip effect, which has been observed across most industries. Calculating a confidence interval usually needs the assumption about the underlying distribution. Bootstrapping is a non-parametric, but computer intensive, estimation method. In this paper, a simulation study on the behavior of the 95% bootstrap confidence i...
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ژورنال
عنوان ژورنال: International Journal of Operations & Production Management
سال: 2019
ISSN: 0144-3577
DOI: 10.1108/ijopm-03-2018-0186