A Simulation-Based Decision Making Framework for the Anticipatory Change Planning of Intralogistics Systems

TitleA Simulation-Based Decision Making Framework for the Anticipatory Change Planning of Intralogistics Systems
Publication TypeConference Paper
Year of Publication2014
AuthorsGüller, M, Hegmanns, T, Henke, M, Straub, N
EditorBlecker, T, Kersten, W, Ringle, CM
Title of ProceedingsInnovative Methods in Logistics and Supply Chain Management
Volume19
Page201
Publisherepubli
Conference LocationHamburg
ISBN Number978-3-8442-9878-9; 978-3-8442-9880-2
ISSN NumberISSN (print) 2365-4430, ISSN (online) 2365-5070
Keywordsanticipatory change planning, Flexibility, performance availability, Simulation
Abstract


In many industries flexibility and changeability are becoming a more important
characteristic for providing responses to fluctuating conditions without
significant loss in time, costs and efforts. In order to cope with turbulences and
the increasing level of unpredictability, future intralogistics systems have to
feature short reaction times, high flexibility in processes and the ability to adapt
to frequent changes. However, the flexibility planning of the design and
operations of intralogistics systems as a mean for improved supply chain agility
has been ignored. There are many forecasting methods in the literature that
can be used to predict future conditions, such as market development, product
portfolio or future customer expectations. Nevertheless, analyzing the impact of
these forecasts on the performance and costs measures of intralogistics
systems is still experiencing insufficient methodical and tool support.
Anticipatory change planning can be a usable approach for managers to make
contingency plans for intralogistics systems to deal with the rapidly changing
marketplace. In this context, this paper proposes a simulation-based decision
framework for the anticipatory change planning of intralogistics systems in
order to cope with unpredictable events in the future. This approach includes
the quantitative assessments based on the simulation in defined scenarios as
well as the analysis of performance availability in terms of the degree of
fulfillment of customer requirements. The implementation of the approach is
illustrated on a new intralogistics technology called the Cellular Transport
System.