An integrated vendor-buyer model with equal shipments, normally distributed demand and empirically distributed lead-time.pdf
Creators: name: Seifbarghy, Mehdi
name: S. Barzegar, 
Publisher: name: figshare
Year: 2020
Subjects: subject: 90603 Industrial Electronics
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: 90505 Infrastructure Engineering and Asset Management
subject: FOS: Civil engineering
subject: FOS: Civil engineering
subject: 91599 Interdisciplinary Engineering not elsewhere classified
subject: FOS: Other engineering and technologies
subject: FOS: Other engineering and technologies
subject: 91003 Machine Tools
subject: 91004 Machining
subject: 91099 Manufacturing Engineering not elsewhere classified
subject: 91005 Manufacturing Management
subject: 91006 Manufacturing Processes and Technologies (excl. Textiles)
subject: 91007 Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics)
subject: 91008 Manufacturing Safety and Quality
subject: 91199 Maritime Engineering not elsewhere classified
subject: FOS: Environmental engineering
subject: FOS: Environmental engineering
subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering
subject: FOS: Materials engineering
subject: Mechanical Engineering
subject: FOS: Mechanical engineering
subject: FOS: Mechanical engineering
subject: 91399 Mechanical Engineering not elsewhere classified
subject: 90304 Medical Devices
subject: FOS: Medical engineering
subject: FOS: Medical engineering
subject: 90404 Membrane and Separation Technologies
subject: FOS: Chemical engineering
subject: FOS: Chemical engineering
subject: 91207 Metals and Alloy Materials
subject: 91306 Microelectromechanical Systems (MEMS)
subject: 90604 Microelectronics and Integrated Circuits
subject: 91009 Microtechnology
subject: 91404 Mineral Processing/Beneficiation
subject: 91405 Mining Engineering
subject: 91102 Naval Architecture
subject: 90904 Navigation and Position Fixing
subject: 90405 Non-automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels)
subject: Nuclear Engineering
subject: 91506 Nuclear Engineering (incl. Fuel Enrichment and Waste Processing and Storage)

description: This study addresses joint economic lot-sizing (JELS) problem with a vendor and a buyer which replenishes a given product from the vendor. Shipments transferred from the vendor to the buyer are assumed to have equal sizes. In addition, unlike the previous studies, demand and delivery are assumed to be stochastic and following normal and experimental distributions respectively. In the given model, we assume that the combination of the two types of backordered and lost demand can exist. In addition, service level constraint is also considered. The purpose is to find the optimal order values, the number of shipments, reorder point and safety stock. We present a heuristic method in order to reach the decision variables of the model. Numerical examples indicated frugality in chain cost in the integrated model and efficiency in the heuristic method. In addition, the results showed that chain costs increase by increasing delivery time, but the values of reorder point and safety stock depend on the changes in the level of services and they increase as the service level increases.