fuzzy inventory model, periodic review, two echelon, service level

This research discussesthe issue of fuzzy two echelon inventory model for new products with periodic review and service level constraint. This problem arises when there is no historical data for new products, so that subjective expert opinions are used to estimate certain information. Problem also a...

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Bibliographic Details
Main Author: Dilianaputri, Ashaeurizky
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/36829
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:This research discussesthe issue of fuzzy two echelon inventory model for new products with periodic review and service level constraint. This problem arises when there is no historical data for new products, so that subjective expert opinions are used to estimate certain information. Problem also arises for supply chain system consisting of 2 (two) entities with periodic review. In addition, total inventory cost is used as performance measure in this model while also maintaining the service level at certain limits. This type of problem is also experienced by PT Paragon Technology & Innovation (PT PTI). As a cosmetics industry that is strongly influenced by trends, PT PTI has hundreds of new product plans every year. Parameters such as demand and leadtime are estimated by experts using linguistic expressions that is suitable with fuzzy models. PT PTI has a logistics system consisting of 2 (two) entities, which are national warehouse and distribution center. PT PTI uses a periodic review system to facilitate routine schedule coordination between entities. To solve this problem, an ?-cuts approach is used to find the fuzzy solution, and defuzzification was performed using centroid method to get a crisp final solution. The proposed/fuzzy policy is then compared with the classical/crisp policy and existing PT PTI policy. It is found that the proposed/fuzzy policy has the best performance measure, it can save inventory costs of Rp 8 million per month compared to the existing PT PTI policy, and has Rp 14 million per month difference compared to the classical/crisp policy, with still meet the required service level constraint.