• Martin Grunow
  • Poorya Farahani
Part of the Management for Professionals book series (MANAGPROF)


This chapter discusses how to develop a detailed distribution plan (deployment plan) to appropriately fill confirmed sales orders and how to replenish inventories at warehouses or distribution centers (DCs) in anticipation of their future demand. In Section 8.1, the deployment problem is discussed. A basic variant of this problem is explained, and a general framework is developed which classifies di erent extensions. Section 8.2 discusses the planning tasks and data relevant for solving the deployment problem for the Frutado company. The LP formulation of the deployment problem for the Frutado company is presented and explained in Section 8.3. Section 8.4 outlines the implementation procedure of this deployment planning problem in SAP APO and introduces the potential solution methods that can be selected to solve the problem. The learning units for deployment planning are discussed in Section 8.5.


Supply Chain Demand Forecast Customer Order Safety Stock Inventory Capacity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Jonsson, P.; Kjellsdotter, L.; Rudberg, M. (2007) Applying advanced planning systems for supply chain planning: three case studies., International Journal of Physical Distribution & Logistics Management, vol. 37, no. 10, 816 834CrossRefGoogle Scholar
  2. Karaesmen, I. Z.; Scheller-Wolf, A.; Deniz, B. (2011) Managing perishable and aging inventories: Review and future research directions, in: K. G. Kempf; P. Keskinocak; R. Uzsoy (Eds.) Planning Production and Inventories in the Extended Enterprise, International Series in Operations Research & Management Science, vol. 151, SpringerGoogle Scholar
  3. Nagarajan, M.; Rajagopalan, S. (2008) Inventory models for substitutable products: Optimal policies and heuristics, Management Science, vol. 54, no. 8, 1453 1466CrossRefGoogle Scholar
  4. Zhao, Q.-H.; Cheng, T. (2009) An analytical study of the modification ability of distribution centers, European Journal of Operational Research, vol. 194, no. 3, 901 910CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Martin Grunow
    • 1
  • Poorya Farahani
    • 1
  1. 1.Chair of Production and Supply Chain ManagementTechnische Universität MünchenMunichGermany

Personalised recommendations