Open AccessFixed Order Interval Model for Multi Item Single Supplier Considering Lifetime and Minimum Order Quantity
Author(s) -
Dadang Arifin,
Edhi Yusuf,
Cantri Charisma
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1179/1/012022
Subject(s) - order (exchange) , procurement , vendor , economic order quantity , total cost , computer science , variable cost , operations research , fixed cost , interval (graph theory) , operations management , holding cost , mathematical optimization , supply chain , mathematics , economics , business , microeconomics , marketing , finance , combinatorics
This paper presents of a material procurement model for multi-item single supplier material considering the life time and minimum order quantity. Procurement of several types of material (multi items) is carried out simultaneously from one supplier with consideration of the savings in ordering costs. The problem is when the order must be performed simultaneously, and how much material must be ordered to obtain a minimum total cost. The cost variables considered in this model are purchase costs, ordering costs, storage costs, and expired cost. This modeling was inspired by a real case found in a manufacturing company located in Bandung. Facts in the field show there were frequently waste due to material has expired. This happens because the material age is relatively short, while the order size must follow the minimum quantity stipulated by the vendor or supplier. Until now the authors have not found a model which fits to this case. However the authors found several articles which have similarities to, and the authors made it as comparison. The developed model departs from the basic model which be developed by several experts. The author modified little bit by adding the cost variable such as the expired cost. Then the authors engaged the model with completely algorithm. This model is a continuation of the single item model developed by Arifin D, and Charisma C, which has been presented and published in the IEOM Conference Proceedings 2018.