Although urban plans may appear simple once completed, they are the outcomes of a highly complex decision-making process. This complexity makes it difficult to develop Planning Support Systems (PSS) that are comprehensive, flexible, intelligent and, yet, understandable to users. Great improvements a
Robust planning: a new paradigm for demand chain planning
β Scribed by Hendrik Van Landeghem; Hendrik Vanmaele
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 453 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0272-6963
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
This paper proposes a new paradigm for tactical demand chain planning (DCP), called robust planning, based on risk assessment of the supply and demand chain. The concepts of supply chain management (SCM), and its extension demand chain management (DCM), have been at the center of much recent research. One of the reasons for this is that, over the last years, a significant number of information systems have emerged, which claim to support the concept. The paper argues that these systems mostly adopt a myopic view of planning, based on pure deterministic planning methods. It demonstrates that such an approach fails to coop with the considerable uncertainty of the planning information. The proposed robust planning paradigm is then introduced and its impact explained, using the wellβknown example of the beer game. It holds the promise of reducing the number of reβplanning cycles, through a better characterization of the expected service level performance over a medium planning horizon. Finally, a case study will show the value of robust planning in a European chemical enterprise.
π SIMILAR VOLUMES
Identification of a demand model, when all the independent and dependent variables are noisy, is one of the major problems in systems planning. Generally, regression or time-series models are used for such problems. It has been suggested that the existing methods to tackle noisy variables are not us