Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
MC7 - IL3: Manufacturing
Time:
Monday, 27/June/2022:
MC 14:00-15:30

Session Chair: Florian E. Sachs
Location: Forum 11


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Presentations

Stochastic Capacity Investment and Flexible vs. Dedicated Technology Choice in the Presence of Subscription Programs

Liling Lu, Onur Boyabatli, Yini Gao

Singapore Management University

We study flexible versus dedicated technology choice and capacity investment of a two-product firm under demand uncertainty in the presence of subscription programs. With subscription programs, a proportion of customers allocated to a particular product are allowed to switch to the other product. We analyze how the switching proportion and demand correlation between two subscription demands affect capacity investment and profitability with each technology, and shape optimal technology choice.



Synchronization in a two-supplier assembly system: Combining a fixed lead-time module with capacitated make-to-order production

Mirjam Meijer, Willem van Jaarsveld, Ton de Kok

Eindhoven University of Technology, the Netherlands

High-tech products consist of many modules. We study an assembly system with one module sourced from a supplier with a fixed lead-time and one module produced in-house in a make-to-order (MTO) production system. Since unavailability of modules is costly, it is important to coordinate between the ordering policy for one module and the production of the other. We show optimality of an order policy for the lead-time module with base-stock levels depending on the state of the MTO production system.



Design of unreliable flow lines with limited buffer capacities and spare part provisioning

Florian E. Sachs1, Gudrun P. Kiesmüller1, Stefan Helber2

1Technical University of Munich, Germany; 2Leibniz University Hannover, Germany

The buffer allocation problem is a fundamental optimization problem if flow line planners need to cope with stochastic influences. Additionally, practitioners include spare part planning for manufacturing systems to increase the machine's availability directly. Hence, we tackle this crucial question and are the first to present a joint optimization of buffer capacities and spare part stocks for flow lines of arbitrary length. Among others, we generate new insights on spare part allocations.



 
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