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Inventory Optimization Analysis Based on Reducing the Manufacturing Bullwhip Effect

Author: JinLan
Tutor: ChangJianE
School: Wuhan University of Technology
Course: Industrial Engineering
Keywords: Bullwhip Effect Simulation and Modeling Kanban pull of the Association of (s, S) inventory policy
CLC: F224
Type: Master's thesis
Year: 2010
Downloads: 188
Quote: 0
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Abstract

Bullwhip effect is the amplification effect of demand variability in the supply chain, conduction through all levels of enterprise supply chain to the ultimate suppliers have a greater demand variability tiny fluctuations in demand by the customer end. Affected by the cause at all levels of the supply chain enterprises illusion of an increase in demand, the manufacturers designed production capacity is greater than the actual demand, thus misleading the production plan, and lead to further increase in the cost of production, and eventually led to temporary shortages or excess inventory backlog . Reduce the bullwhip effect of the manufacturing sector's inventory optimization, the first pulling production caused the bullwhip effect of supply chain modeling and simulation, simulation graph will occur at every level of orders out of stock and expanding demand for inventory phenomenon, do affect the value of the input variables of the bullwhip effect, select the order point inventory analysis to weaken the bullwhip effect. Bullwhip effect from the perspective of organizational structure, information structure, decision-making mechanism analysis, combined with the automotive industry to reduce the bullwhip effect take delay manufacturing of thinking, to choose reflect the corporate form a dynamic alliance, the timely sharing of information outsourcing Kanban pull alternating logistics cycle mode. According to the orders of customer demand and the factory production capacity, the amount of inventory in the line side, the amount of supermarket assurance of safety stock and parts demand and the size of the package amount to calculate the number of kanban cards. Outsourcing to see the ordering operation between the supply and demand requirements determined fixed quantities do cards and point-in-time information to guide manufacturers and suppliers, to achieve alternating logistics cycle. Combined with the actual car industry (s, S) inventory policy, Kanban Pull ordering inventory (s, S) operation from the customer demand, disk inventory ordering and inventory levels and costs, three modules simulation analysis. Simulation comparative analysis of the operation of the of its inventory fluctuations graphics and total operating costs with non-the Kanban pull-ordering inventory (s, S), to Kanban Pull ordering inventory (s, S) operation while pulling alternating logistics cycle also reduces in the manufacturing sector, inventory levels, reduced inventory operating costs, and to make a contribution to reduce the bullwhip effect of the manufacturing sector and improve the economic efficiency of supply chain operations link. Further set of (s, S) inventory analysis for Kanban pull production orders, further optimization in order to reduce the cost of the mode of operation of the entire inventory.

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