RFID systems known to improve supply chains performances are not well-implemented in industry, particularly in the field of transport, due to the high economic investment it requests in comparison to other existing solutions. However, their benefits may be theoretically proved by using a distributed simulation platform to support the design and test of any technical solution and organisational approach devoted to optimize RFID-based logistics systems. This paper deals with the development of this simulation platform, based on G-DEVS (Generalized Discrete Event Specification) models and HLA (High Level Architecture) standard. The different partner's components of the networked logistics enterprise are described. The proposed solution is applied to a freight transportation system and emulates the behaviour of the various components (RFID coupled to geolocation and mobile technology) required to optimise the products routing. The behaviour of the main components is G-DEVS formalized including the logistics supplier server, the smart product and the vehicle onboard device to interface the products with a centralized server. Delivery scenarios are then elaborated and simulated to check the behavior and the level of communication network utilization between distributed G-DEVS models and other simulation components. The strength of the approach lies in the interoperability of the platform to simulate scenarios including discrete event models and real hardware and software devices via an HLA connection. From these results a discussion is given to validate or reject the conceptual choices about logistics components behavior and their theoretical network solicitation level regarding GSM, GPRS, Bluetooth and RFID networks capacity.
a b s t r a c tIn fulfilling customers' orders, one of the goals of tactical supply chain planning is to satisfy the customers in terms of delivery efficiency, delivery quantity accuracy and on-time delivery. These performance ob jectives can b e impacted b y the way firms plan each of the three phases of the supply chain: procurement, production and distrib ution. Though the link b etween each of these phases and supply chain performance has b een studied in extant literature, very few authors have considered all three phases at the same time. By adopting an integrated approach, this paper therefore aims to study the manner in which, taken together in one model, the planning determinants of the different phases impact on supply chain performance. It is important for managers to understand, from a holistic and integrated perspective, how a given comb ination of the planning determinants of the supply chain functions impacts positively or negatively on the performance of the supply chain. To carry out this study, this paper starts b y proposing an integrated framework that is b ased on the SCOR model and the customer order decoupling point (CODP), followed b y a five-step methodology for tactical supply chain planning. Then, using an analytical model and simulations, and b ased on a numerical example, it shows how the proposed methodology can b e applied in a given decision-making situation. Our results enab led to identify the worst and the b est comb inations of planning determinants.
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