Abstract
Instabilities in production planning and control have received considerable attention due to their negative impact on planning performance. However, extant research has been limited to theoretical (e.g. simulation) settings and has focused on specific methodologies (e.g. mathematical) to overcome instabilities. The objective of this chapter is to make two contributions to the theory development on production planning instabilities. First, it aims to make an empirical contribution through an in-depth case study, and second, it introduces a holistic framework that supports analysis of hierarchical planning systems and their potential instabilities.
The in-depth case study is carried out on an industrial company that has difficulty to meet its customer deadlines and faces a significant order backlog. Planners of the company at different hierarchical levels and order chasers on the shop floor end up rescheduling open orders and updating lead times continuously when trying to meet deadlines, but eventually are not able to improve order fulfillment. Only after the introduction of an Advanced Planning System and centralization of planning decisions in a single department, on-time delivery was significantly improved and order back log drastically reduced. This case study allows studying of the underlying mechanism of such planning instabilities, with a particular focus on the impact on stability of human and organizational factors. On the basis of our findings and additional conceptual research we have then developed a framework constituted by six key planning systems attributes. By taking into consideration these factors, a firm can address the root causes of planning instabilities, rather than merely focus on its symptoms.
This book chapter is a revised and extended version of a previously published article: Moscoso, P. G., Fransoo, J. C., & Fischer, D. (2010). An empirical study on reducing planning instability in hierarchical planning systems. Production Planning & Control, 21(4), 413–426.
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Notes
- 1.
For a better understanding of the chapter we will differentiate here conceptually between the planning lead time (MRP information) and the production lead time (performance measure).
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Moscoso, P., Fransoo, J., Fischer, D., Wäfler, T. (2010). The Planning Bullwhip: A Complex Dynamic Phenomenon in Hierarchical Systems. In: Fransoo, J., Waefler, T., Wilson, J. (eds) Behavioral Operations in Planning and Scheduling. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13382-4_8
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