Abstract
This article presents a straightforward production/inventory model that can capture the trade-offs among average inventory, production capacity and customer service levels in a semi-process industry setting. The model is based on well-known approximations from queuing literature, and it supports midterm planning procedures at SEPPIC, a large specialty chemicals company. Different features are specific to a semi-process setting, such as differences in reactor yield, variations in quality requirements across products, the need for cleaning reactors when switching between product types, and the requirement to produce products in campaign sizes that are integer multiples of the reactor’s batch size. This article discusses how SEPPIC’s operational reality is reflected in the model and illustrates the resulting insights with real-life data from two SEPPIC product families.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
