An Advanced System for Supporting the Decision Process within Large-scale Retail Stores

Bruzzone, Agostino G.; Longo, Francesco

doi:10.1177/0037549709348801

Cited by 36 publications

(18 citation statements)

References 32 publications

(32 reference statements)

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“…There are many recent studies concerning supply chain models (De Sensi et al 2008, Bruzzone and Longo 2009, Buil et al 2010, Wadhwa et al 2010. Many studies are based on simulation modelling, which is an effective way to test policies and operational rules.…”

Section: Literature Reviewmentioning

confidence: 99%

A decomposition approach for the performance analysis of a serial multi-echelon supply chain

Saetta

Paolini

Tiacci

et al. 2012

International Journal of Production Research

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Over the last decade, supply chain coordination has attracted much attention in the context of industrial logistics systems, because of the role played in production support logistics. There is a growing interest in the analysis and measurement of performances, because performance analysis allows us to build supporting decision tools for the design, planning and management of the supply chain. This paper presents an analytical approach for performance analysis based on a decomposition principle. The approach is applied to a serial supply chain that consists of two levels of suppliers, a production plant and a distribution centre, and operates as a pull system. This configuration is typical for bulk materials such as grain. The method allows us to approximately calculate performance indicators (such as customer satisfaction and inventory levels) taking into account all the interactions between the different echelons of the supply chain. The accuracy of the approximations is confirmed by the results obtained via a simulation model. Numerical analysis allows us to outline interesting and non-intuitive behaviour of the performance indicators for different stages of the supply chain.

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Section: Literature Reviewmentioning

confidence: 99%

A decomposition approach for the performance analysis of a serial multi-echelon supply chain

Saetta

Paolini

Tiacci

et al. 2012

International Journal of Production Research

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“…Other research studies on warehouse dimensioning can be found in Pliskin and Dori (1982), Azadivar (1989) and Heragu et al (2005). A specific study (also focused on warehouse department dimensioning in a retail store) using advanced 3D simulation tools and artificial intelligence techniques is proposed by Bruzzone and Longo (2010 Moder and Thornton (1965) focus on different ways of stacking pallets within a warehouse. Berry (1968) discusses the tradeoffs between storage efficiency and material handling costs through analytic models.…”

Section: Internal Logistics: a Survey On Warehouse Managementmentioning

confidence: 99%

Supply Chain Management Based on Modeling & Simulation: State of the Art and Application Examples in Inventory and Warehouse Management

Longo¹

2011

Supply Chain Management

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“…A significant number of systems of technological, social, or financial interest may present a high degree of complexity in their composition, in the interrelation among their components, in their behavior, or in all of these features [1,2]. Many of these systems can be considered as discrete event systems (DES) [3,4], such as manufacturing facilities, food industry, supply chains, airports, or traffic networks [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Equivalent and Efficient Optimization Models for an Industrial Discrete Event System with Alternative Structural Configurations

2018

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Discrete event systems in applications, such as industry and supply chain, may show a very complex behavior. For this reason, their design and operation may be carried out by the application of optimization techniques for decision making in order to obtain their highest performance. In a general approach, it is possible to implement these optimization techniques by means of the simulation of a Petri net model, which may require an intensive use of computational resources. One key factor in the computational cost of simulation-based optimization is the size of the model of the system; hence, it may be useful to apply techniques to reduce it. This paper analyzes the relationship between two Petri net formalisms, currently used in the design of discrete event systems, where it is usual to count on a set of alternative structural configurations. These formalisms are a particular type of parametric Petri nets, called compound Petri nets, and a set of alternative Petri nets. The development of equivalent models under these formalisms and the formal proof of this equivalence are the main topics of the paper. The basis for this formal approach is the graph of reachable markings, a powerful tool able to represent the behavior of a discrete event system and, hence, to show the equivalence between two different Petri net models. One immediate application of this equivalence is the substitution of a large model of a system by a more compact one, whose simulation may be less demanding in the use of computational resources.

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An Advanced System for Supporting the Decision Process within Large-scale Retail Stores

Cited by 36 publications

References 32 publications

A decomposition approach for the performance analysis of a serial multi-echelon supply chain

A decomposition approach for the performance analysis of a serial multi-echelon supply chain

Supply Chain Management Based on Modeling & Simulation: State of the Art and Application Examples in Inventory and Warehouse Management

Equivalent and Efficient Optimization Models for an Industrial Discrete Event System with Alternative Structural Configurations

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