Operational Efficiency of Perishable Product Supply Chain Using Petri Net Technique (original) (raw)
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Operational Management of Supply Chains: A Hybrid Petri Net Approach
The emergence of Supply Chains (SCs) is an outcome of the recent advances in logistics and information technology. SCs are complex networks interconnecting different independent manufacturing and logistics companies integrated with material, information and financial flows (Viswanadham & Raghavan, 2000).
Performance Analysis and Design of Supply Chains: A Petri Net Approach
The Journal of the Operational Research Society, 2000
In this paper, we investigated a dynamic modelling technique for analysing supply chain networks using generalised stochastic Petri nets (GSPNs). The customer order arrival process is assumed to be Poisson and the service processes at the various facilities of the supply chain are assumed to be exponential. Our model takes into account both the procurement process and delivery logistics that exist between any two members of the supply chain. We compare the performance of two production planning and control policies, the make-to-stock and the assemble-to-order systems in terms of total cost which is the sum of inventory carrying cost and cost incurred due to delayed deliveries. We formulate and solve the decoupling point location problem in supply chains as a total relevant cost (sum of inventory carrying cost and the delay costs) minimisation problem. We use the framework of integrated GSPN-queuing network modellingÐ with the GSPN at the higher level and a generalised queuing network at the lower levelÐto solve the decoupling point location problem.
Hybrid Petri-nets for modelling and performance evaluation of supply chains
International Journal of Production Research, 2011
Modelling and analysis of complex and coordinated supply chains is a crucial task due to its inherent complexity and uncertainty. Therefore, the current research direction is to devise an efficient modelling technique that maps the dynamics of a real life supply chain and assists industrial practitioners in evaluating and comparing their network with other competing networks. Here an effective modelling technique, the hybrid Petri-net, is proposed to efficiently handle the dynamic behaviour of the supply chain. This modelling methodology embeds two enticing features, i.e. cost and batch sizes, in deterministic and stochastic Petri-net for the modelling and performance evaluation of supply chain networks. The model is subsequently used for risk management to investigate the issues of supply chain vulnerability and risk that has become a major research subject in recent years. In the test bed, a simple productive supply chain and an industrial supply chain are modelled with fundamental inventory replenishment policy. Subsequently, its performance is evaluated along with the identification and assessment of risk factors using analytical and simulation techniques respectively. Thus, this paper presents a complete package for industrial practitioners to model, evaluate performance and manage risky events in a supply chain.
Modeling and Performance Evaluation of a Supply Chain via Petri Nets
Abstract–Supply Chains (SC) are distributed manufacturing systems integrating international logistics and information technologies with production. Analytical SC models include discrete event models, that are particularly suitable for the verification of manufacturing systems. This paper presents a discrete event model for SC operational analysis based on timed Petri nets. A case study proposed in the related literature is modeled by way of the presented technique.
IEEE Transactions on Automation Science and Engineering, 2005
Supply Chains (SC) are distributed manufacturing systems integrating international logistics and information technologies with production. Analytical SC models include discrete event models, that are particularly suitable for the verification of manufacturing systems. This paper presents a discrete event model for SC operational analysis based on timed Petri nets. A case study proposed in the related literature is modeled by way of the presented technique. The Petri net behavior is simulated in order to study the system performance and to compare it with competing SCs.
Performance analysis of supply chain networks using Petri nets
Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304), 1999
In this paper, we investigate dynamic modeling tcchniques for analyzing supply chain networks using generalized stochastic Petri nets (GSPN). The customer order arrival process is assumed to be Poisson and the service processes at the various facilities of the supply chain are assumed to be exponential. Our modeling method accounts for both the logistics process as well as the interface processes that exist between any two members of the supply chain. We compare two production planning and control policies, the make-tostock and the assemble-to-order systems and discuss their merits. Locating the decoupling point in the supply chain is a crucial decision. We formulate the problem as a total cost minimization problem with the total cost comprising the inventory carrying cost and delay costs. We use the framework of integrated GSPN-queueing network modeling, with the GSPN at the higher level and a generalized queueing network at the lower level.
IEEE Conference FoodSim 2002
Effective management of perishable goods is a major problem faced by the retailers of perishable goods. Time- Temperature-Indicator (TTI) labels available today can indicate the remaining shelf life of these perishable products. This technology can change the way perishable goods inventory is managed today, from a First-In-First-Out (FIFO) and Fixed Sell-By-Date basis to Least Shelf Life First Out (LSFO) . In this paper a futuristic solution combining TTI and wireless technologies is proposed. Although the TTI and wireless based solution proposed in the paper is considered better, the benefits of the proposed solution have to be analyzed in quantitative terms. These have been analyzed using a Petri Net based approach for system simulation. The analysis shows that a retailer of perishable goods can reduce the losses suffered due to the expiry of perishable items before they can be sold, by more than 90% and increase the net profits by more than 10% in the test scenario. Thus we can conclude that adoption of the proposed system will benefit the retailer to a great extent.
Stochastic evaluation of supply chains and replenishment policies with Petri net components
International Journal of Services Operations and Informatics, 2008
The outbound logistics deals with the transportation and storage of finished goods. It is one of the most complex and expensive activity of the supply chain management and is decisive for the Quality of Service (QoS). This paper proposes the use of pre-defined Petri net components to model and evaluate this activity. The model that represents an outbound logistics scenario is obtained with a bottom-up approach, guaranteeing some expected Petri nets properties. Furthermore, the use of pre-defined, validated components allows modelling and evaluating the supply chain entities and processes through a systematic procedure. In the end of this paper, results related to a real case study, conducted by considering the proposed models, is depicted.
A first-order hybrid Petri net model for supply chain management
2009
Abstract A supply chain (SC) is a network of independent manufacturing and logistics companies that perform the critical functions in the order fulfillment process. This paper proposes an effective and modular model to describe material, financial and information flow of SCs at the operational level based on first-order hybrid Petri nets (PNs), ie, PNs that make use of first-order fluid approximation.