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Safety Stock under Fuzzy Environment Research

Author: ShiZuo
Tutor: HuJinSong
School: Qingdao University
Course: Management Science and Engineering
Keywords: Safety stock Service Level Credibility Theory Fuzzy Demand Fuzzy lead
CLC: F253.4
Type: Master's thesis
Year: 2008
Downloads: 320
Quote: 1
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Abstract


Competition between supply chains has been considered to be the main trend of the company's future competitiveness . In order to make the supply chain as a whole can better meet market demand, the supply chain enterprises each node needs to maintain a certain inventory levels. Safety stock is to deal with the uncertainty in the supply chain are held over the forecast quantity of inventory. Supply chain is the key to the successful operation without compromising customer service levels under the premise of minimizing corporate safety stock levels . Thus use the scientific method to determine the amount of safety stock enterprise is critical . This article discusses the use of fuzzy theory given service level method for determining the amount of safety stock . Consider the market demand and supply in advance of the two most common uncertainty , using a normal fuzzy numbers and triangular fuzzy numbers two ways of describing the amount of blur way to take a recharge cycle and product supply level CSL FR supply rates and other services level metrics , respectively, for node enterprises and collaborative supply chain , inventory and periodic study of continuity under the safety stock inventory strategies to determine the problem . The main research content and innovation summarized as follows : 1 ) First, based on credibility theory , fuzzy variables derived normal distribution function of the credibility and expectations formula for the theoretical basis for later studies . 2 ) For the node enterprises were discussed continuity inventory and periodic inventory strategy, the demand for the amount of blur , blur amount and period of advance demand and lead time are the amount of blur in the case , the formula to determine the safety stock . When demand is only one of the early period when the fuzzy variables , mainly based on theoretical modeling credibility and solved using MATLAB software assisted ; when demand and lead time are fuzzy variables , the introduction of fuzzy pessimistic values ??and fuzzy simulation method auxiliary solution. Meanwhile, through numerical examples , got some help on future research qualitative conclusions . 3 ) The node enterprise safety stock policy extended to collaborative supply chain , focused on the sequential supply chain , supply chain and convergent divergent supply chain three special structure of the supply chain safety stock policy .

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CLC: > Economic > Economic planning and management > Material economic > Supplies business and management > Management of inventory reserves and transporting
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