7 research outputs found
A mixed integer linear programming model for operational planning of a biodiesel supply chain network from used cooking oil
A joint inventory policy under permissible delay in payment and stochastic demand (Case study: Pharmacy Department of Pariaman Hospital)
Optimal integrated production and inventory cycles in a whole green manufacturing supply chain network with coordination
An integrated production and inventory model for a whole green manufacturing supply chain with limited contract period and capacity constraints for suppliers
A Regular Production-Remanufacturing Inventory Model for a Two-Echelon System with Price-dependent Return Rate and Environmental Effects Investigation
A Multiple Items EPQ/EOQ Model for a Vendor and Multiple Buyers System Considering Continuous and Discrete Demand Simultaneously
This is the author accepted manuscript. The final version is available from IOP Publishing via the DOI in this record.APCOMS-IMEC 2017: joint conference of The 4th Asia Pacific Conference on Manufacturing Systems and The 3rd International Manufacturing Engineering Conference, 7-8 December 2017, Yogyakarta, IndonesiaThis paper proposed a mathematical model for multiple items Economic Production
and Order Quantity (EPQ/EOQ) with considering continuous and discrete demand
simultaneously in a system consisting of a vendor and multiple buyers. This model is used to
investigate the optimal production lot size of the vendor and the number of shipments policy of
orders to multiple buyers. The model considers the multiple buyers’ holding cost as well as
transportation cost, which minimize the total production and inventory costs of the system. The
continuous demand from any other customers can be fulfilled anytime by the vendor while the
discrete demand from multiple buyers can be fulfilled by the vendor using the multiple
delivery policy with a number of shipments of items in the production cycle time. A
mathematical model is developed to illustrate the system based on EPQ and EOQ model. Solution procedures are proposed to solve the model using a Mixed Integer Non Linear
Programming (MINLP) and algorithm methods. Then, the numerical example is provided to
illustrate the system and results are discussed
