Tedarikçi yönetimli envanter sistemi hızlı tüketim sektöründe uygulama örneği

Supply chain efficiency is one of the most discussed subjects of the companies. VMI system is one of the supply chain mechanisms that allows vendors to reach and manage customer's stock level and prepare their own production, inventory and delivery plans in accordance with them. In a VMI system, demand forecasting and quick response to the customers' demand fluctuations are extremely important for the system's performance. In this study, we have investigated a FMCG company that uses traditional supply chain methods and proposed a new order prediction methodology as a part of VMI system. The problem is constructed as Multi-Criteria Decision Making Problem that affected by eight criterions in which some of them are quantitative while others are quantitative. Due to the imprecision and insufficient information or ambiguity, we prefer linguistic evaluations. Additionally, in order to solve the uncertainty, subjectivity and hesitancy of human judgments interval-valued intuitionistic fuzzy sets have applied to the proposed methodology. In the proposed methodology, different combinations, sensitivity analysis and comparisons are also conducted to measure the stability of decision makers' evaluations, effectiveness of criteria weights and applicability to the different customers. It is found that the proposed methodology gives stable and logical results for a VMI system in a FMCG company. Keywords: Vendor Managed Inventory, Interval-valued intuitionistic fuzzy sets, Multi-Criteria Fuzzy Decision Making, Demand forecasting