An advanced supply chain management tool based on modeling and simulation

Longo, Francesco; Mirabelli, G.

doi:10.1016/j.cie.2007.09.008

Cited by 123 publications

(56 citation statements)

References 14 publications

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“…The literature is unanimous on the positive role of M&S in the study, analysis and performance evaluation of complex systems. For example, some authors (Ingalls, 1998;Lee et al, 2002;Longo and Mirabelli, 2008) highlight the features and advantages of a decision-making tool based on modeling and discrete event simulation.…”

Section: Literature Review Supply Chain Modeling Approachmentioning

confidence: 99%

“…M&S translates the supply chain conceptual model and recreates the complexity and highly stochastic environment of a supply chain. The conceptual model defines concepts (involved entities) and parameters that give a supply chain manager the possibility to analyze different scenarios by changing the input parameters (Longo and Mirabelli, 2008).…”

Section: Literature Review Supply Chain Modeling Approachmentioning

confidence: 99%

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A multi-agent knowledge model for SMEs mechatronic supply chains

et al. 2011

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Abstract:The main concern of this research work is to analyse and model supply chains (SCs) in the particular context of small and medium enterprises (SMEs) in the field of mechatronic. The study is based on the analysis of the organisational features, the actors' behaviour, and performance considerations. The development of the model relies on an iterative framework that progressively integrates different aspects into the model. This framework is the ArchMDE process, which is based on MDE (Model Driven Engineering). A major feature of this work lies in its contribution to two different areas of research. The first contribution of the work is to propose a generic metamodel for SCs. Based on a literature review, an incremental framework is proposed for the modelling of SCs in terms of concepts, structure and relationships. The application of the framework to the studied context is described and its result is a domain-metamodel for SCs. The second contribution of this work lies in the formalisation of the dynamic behaviour of the concepts in the metamodel. This formalisation is based on the multi-agent approach. An agentification of the metamodel is thus drawn, thanks to the natural links between multiagent theory and SC reality.This step leads to an agentified-domain-metamodel which also includes the monitoring of the SC and synchronisation protocols. By adding relationships and dynamic behavior aspects, we obtain a 2 metamodel of the domain that can be implemented, with its static and dynamic aspects. To validate this model, an industrial case study is detailed and has been instantiated and encoded in JAVA.

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Section: Literature Review Supply Chain Modeling Approachmentioning

confidence: 99%

Section: Literature Review Supply Chain Modeling Approachmentioning

confidence: 99%

A multi-agent knowledge model for SMEs mechatronic supply chains

et al. 2011

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“…Inventory is held for a variety of reasons and these could be due to unexpected changes in customer demand, the presence of many situations of a significant uncertainty, lead times or economies of scale offered by transportation companies (Simchi-Levi et al, 2009). Hence, Longo and Mirabelli (2008) suggested the use of a decision making tool and compared the effects of demand versus inventory control policies, lead times, customer's demand intensity and variability in an advanced supply chain management tool based on modeling and simulation. Hence, when inventory is held, inventory control systems are used to control the level of inventory and for the fast-moving consumer goods industry, inventory control systems are usually favored.…”

Section: Inventory Control Systemsmentioning

confidence: 99%

Target Days versus Actual Days of Finished Goods Inventory in Fast Moving Consumer Goods

Vaz¹,

Mansori²

2017

IBR

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In a bid to maximize corporate profits, many multi-national corporations and even small medium enterprises create many products and place them on shelves at hypermarkets or supermarkets. We can observe an abundance of stock keeping units on shelves as well as observe a variety of such finished goods held by various fast moving consumer goods industries in the home appliance, beverage, canned food, clothes, soft-drinks, cordials and confectionery product ranges, just to name a few. From supplier, manufacturer, distributor, wholesaler and retailer, it appears that there is a constant flow of new products and stock keeping units held for these fast moving consumer goods. We can say that we humans are a rather wasteful species because a large proportion of products become obsolete or slow moving over time and organizations push products into the marketplace to gain competitive advantage and optimize profits. Hence, there is need to address this issue in the field of Supply Chain Management because resources on this planet are limited and we humans live in a very fragile planet. Yet, as population grows, we humans have become used to this over-abundance even though the resources within this planet are becoming more and more scarce. Consumption levels have increased with population growth and with capitalist thinking, virtually anybody can develop businesses that will create products to meet human needs. In the field of Supply Chain Management, managers set polices on when to order and how much to order and the average inventory that results from these inventory replenishment policies become targets. This paper attempts to compare target days of inventory with actual days of inventory held in warehouses for a single organization with many warehouses/ stock keeping units, in an attempt to understand further approaches that can be used to improve inventory waste within supply chains.

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“…• Develop of a simulation model of an automotive SC partner; following a similar approach to the one presented by [30], where a discrete event simulation model (of a SC) is implemented and an application example is proposed for a better understanding of the simulation model potential. The reason for choosing the case of an automotive SC partner obeys to the following reason: [31] presents a SC modeling methodology and uses the automotive SC in order to exemplify it.…”

Section: Practical Application Of the Demand Fulfillment Capability Imentioning

confidence: 99%

Quantifying the Demand Fulfillment Capability of a Manufacturing Organization

Martínez-Olvera¹

2011

Supply Chain Management

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An advanced supply chain management tool based on modeling and simulation

Cited by 123 publications

References 14 publications

A multi-agent knowledge model for SMEs mechatronic supply chains

A multi-agent knowledge model for SMEs mechatronic supply chains

Target Days versus Actual Days of Finished Goods Inventory in Fast Moving Consumer Goods

Quantifying the Demand Fulfillment Capability of a Manufacturing Organization

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