2002
DOI: 10.1016/s0272-6963(02)00039-6
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Robust planning: a new paradigm for demand chain planning

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 vi… Show more

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Cited by 171 publications
(77 citation statements)
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“…The main difficulties of stochastic programming approach are: (a) lack of existence of distribution function of data and (b) computational challenges [25].The concept and advantages of robust approach in general, and in supply chain planning in particular, can be illustrated in Figure 1. Deterministic approaches obtain the solution based on averaging or "good guess".…”
Section: Methodology Of Robust-fuzzymentioning
confidence: 99%
“…The main difficulties of stochastic programming approach are: (a) lack of existence of distribution function of data and (b) computational challenges [25].The concept and advantages of robust approach in general, and in supply chain planning in particular, can be illustrated in Figure 1. Deterministic approaches obtain the solution based on averaging or "good guess".…”
Section: Methodology Of Robust-fuzzymentioning
confidence: 99%
“…Sodhi (2003) and Van Landeghem and Vanmaele (2002) argue that tactical planning encompasses determining how much should be produced in which production plant and when, with planning horizon about months or weeks. This calls for an extensive information sharing with suppliers and integrating them in the planning process.…”
Section: Supply Chain Planningmentioning
confidence: 99%
“…One potential system which could be used is the Beer game system, which has previously been used to study the dynamic behaviour of production-distribution systems (Van Landeghem and Vanmaele, 2002;O'Donnell et al, 2006), but not specifically rogue seasonality.…”
Section: Relevant Studies On Rogue Seasonalitymentioning
confidence: 99%