Panel session: opportunities for simulation in supply chain management

Banks, Jerry; Buckley, Stephen J.; Jain, Sanjay; Lendermann, Peter; Manivannan, M.

doi:10.1109/wsc.2002.1166447

Cited by 44 publications

(30 citation statements)

References 7 publications

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“…Simulation provides firms with a perspective on supply chain dynamics and its efficacy [8]. Simulating a supply chain implies a behaviour that integrates logistic and production networks which represent complex inter-and intra-organisational facilities characteristics, physical entities and resources [9][10][11]. In supply chain simulation, some studies about bullwhip avoidance techniques are found in Cannella et al [12][13][14][15].…”

Section: Literature Reviewmentioning

confidence: 99%

Improvement of a Distribution Network of a Direct Sale Cosmetics Supply Chain

Díez¹,

Bolarín²

2014

Int. j. simul. model.

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Consistent studies assessing the impact of the strategic decision of distribution nodes with no-financial key performance indicators are lacking. This work focuses on studying how the distribution system of a direct sale cosmetics supply chain behaves and on generating decision-making scenarios relating to the definition and size of distribution nodes. A systems dynamics-based simulation tool deals with a strategic decision and size of distribution nodes in a reduced direct sale supply chain of cosmetic products. The methodological approach presented herein allows to analyse how existing facilities operate and to verify their performance. Finally, this work provides a reference conceptual model for the strategic definition of distribution nodes.

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Section: Literature Reviewmentioning

confidence: 99%

Improvement of a Distribution Network of a Direct Sale Cosmetics Supply Chain

Díez¹,

Bolarín²

2014

Int. j. simul. model.

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“…They include to a large extent the general optimization tasks which are to be performed by SCM (Archibald et al 1999(Archibald et al , p. 1207. The target variables of simulation studies concentrate mainly on a reduction of cost, the optimization of material and information flows, the reduction of processing and lead times, or a consequent process-related orientation of the company (Banks et al 2002). A recent study analyzes over 80 articles which describe an application of Supply Chain Simulation either in an industrial pilot project, commercially available software, or a simulation test within a logistics chain (Terzi and Cavalieri 2004).…”

Section: Discrete Event Simulation For Supporting Industrial Process mentioning

confidence: 99%

Simulation Based Decision Support System For Cut-To-Size Plants

Robert¹,

Schmid²,

Hillbrand³

2011

ECMS 2011 Proceedings Edited By: T. Burczynski, J. Kolodziej, A. Byrski, M. Carvalho

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Cut-to-size plants are very complex systems, which are used to process several kinds of panels. The acquisition, planning, implementation and operation of these systems impose lots of challenges. To support the process from retail to operation of cut-to-size plants, a new simulation based decision support tool has been developed. This planning tool offers entirely new opportunities for system experts to model, animate, simulate and emulate cut-to-size processes. In this paper, we discuss centrally and hierarchically controlled real time systems and derive a conceptual design to explain the implemented reproduction of the virtual system. We introduce the system architecture for our simulation based decision support tool and examine our approach to model largescale plant systems. Apart from this, we present our method to process the orders which are generated on the control system and to handle them as discrete event tasks in the virtual system. Finally, based on the findings of the realization and testing of the tool, this paper discusses the opportunities arising from this approach as well as its future potential.

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“…Discrete event simulation is an important method in supply chain management (Kleijnen, 2003). A survey of supply chain simulation applications, including commonly used commercial packages, is found in Banks et al (2002).…”

Section: Research Approachmentioning

confidence: 99%