The elaboration of a manufacturing flow connectivity model, based on Multi Agent System

MATEC Web of Conferences, Jan 2017

Nowadays, manufacturing industries are operating in a highly complex and unforeseeable economic context. Therefore, they tend, by necessity toward short term inter-firms coordination. Thus, found increasingly located at the intersection of corporate networks, to overcome their inability to quickly meet the needs of clients, facing thereby several complications related to the coordination between heterogeneous entities. Managing the flow of a network, made up of different links became a major challenge. The appeals to decision support tools and simulation are wished all the more to correlate the dynamics of the system and the targeted objectives, to assess the configurations effectiveness. Thus, enhance their performance.The aim of this paper was to establish a model of the industrial flow connectivity; Afterward, we’ve detailed a network configuration model based on the multi-agents systems, to study the interactions between all the actors and give a more realistic vision onto manufacturing coordination in the supply chain.

The elaboration of a manufacturing flow connectivity model, based on Multi Agent System

MATEC Web of Conferences 105, 00011 (2017 ) DOI: 10.1051/ matecconf/201710500011 IWTSCE'16 The elaboration of a manufacturing flow connectivity model, based on Multi Agent System Lamyae Fahhama1,*, Abdellah Zamma1, Khalifa Mansouri1, and Zayer Elmajid1 1 Laboratory SSDIA, ENSET Mohammedia, Hassan II University of Casablanca Abstract. Nowadays, manufacturing industries are operating in a highly complex and unforeseeable economic context. Therefore, they tend, by necessity toward short term inter-firms coordination. Thus, found increasingly located at the intersection of corporate networks, to overcome their inability to quickly meet the needs of clients, facing thereby several complications related to the coordination between heterogeneous entities. Managing the flow of a network, made up of different links became a major challenge. The appeals to decision support tools and simulation are wished all the more to correlate the dynamics of the system and the targeted objectives, to assess the configurations effectiveness. Thus, enhance their performance. The aim of this paper was to establish a model of the industrial flow connectivity; Afterward, we’ve detailed a network configuration model based on the multi-agents systems, to study the interactions between all the actors and give a more realistic vision onto manufacturing coordination in the supply chain. 1 Introduction At the beginning of the industrial era, the productivity has been for a long time the principle guiding for a company. Today, with the mutation of the competition and the market globalization, companies became aware that a local effort of improvement of their means of production are not any more enough to reach the level of reactivity and flexibility required to meet the needs of demanding customers. Thus, a tight collaboration and an integration of the various actors of the supply chain turn out, essential to face the exacerbated requests to meet client’s satisfaction through the deadline, the cost, the quality of service provided, etc. Hence, to face these stakes, manufacturing companies, broke more and more of their design activities of production and assembly to the inside of their chain, therefore they’re brought to search and benefits from the expertise of potential partners. Thereby, having a multisite, multi-trades design, so they can better respond to the needs of the customers. Changing from a one-level structure to a complex multi-level configuration, that is manufacturing network. In this perspective, the configuration of manufacturing networks constitutes a problematic major industrial, more particularly in a context of heterogeneous levels. The piloting of the dynamics of the flow of production and the assessment of the performance of the logistics chain incorporated is crucial. It is concerned more precisely to the configuration of a new link or a company Ein combines with a level below a manufacturing network, also named the connectivity of flows [1]. This organizational coalition can be characterized by a number of attributes describing the operating system and the * control one of the manufacturing company. These attributes allow defining firms profile able to integrate a manufacturing network. Therefore, supply chain coordination (SCC) offers means to understand and analyze a SC as a set of dependencies both in physical flows, as well as in informational flows. Our contribution approach is to appraise how efficient the process connectivity in supply chain, made up of heterogeneous, but yet compatible profiles of companies can be. Using communicating agent architecture. The objective of this approach is the anticipation and the evaluation of different scenarios and the detection of the less performing configurations. Our article is organized as follows: The next section presents a literature review in relation to our work is given; the section 3 introduces our model of flow connectivity in the manufacturing supply chain. In sections 4 we formalize the method of coalitions linking adapted to the distributed coordination by a multi-agent approach. Furthermore, we explain the interactions necessary for its implementation. Finally, we conclude on this work. 2 The modeling and the simulation of flow connectivity in manufacturing networks 2.1 The flow connectivity In the Supply chain, manufacturer maintains various types of flow. It may be an information flow, relating to supplies or to the design of products, a financial flow, or even a materials flow raw materials and parts of assembly up to finished products. Coordinating the flow between Corresponding author: © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/). MATEC Web of Conferences 105, 00011 (2017 ) DOI: 10.1051/ matecconf/201710500011 IWTSCE'16 the mathematical optimization and the DAI modeling for the development of its system. It is obvious that, what has been discussed, in the literature around the connectivity of the process of manufacturing networks, established in a supply chain are, either centered on particular industrial problems, or have a qualitative character and thus not reflecting reality. The taking into account of the special features related to planning modes, control of type of production and response to the demand are rarely discussed. Yet they make this system more efficient (reduce delays and stocks and make consistent links). A better model for process connectivity can be proposed, allowing the assets of the performance in an early phase. two companies then returns, to ensure that the information flows reliably and rapidly between them and that the satisfaction of the customer need be realized in time, with the least cost and the minimum levels of inventory [2-3]. The problems of flow management discussed in the literature are focused as well at the global level between several actors in the SC (inter), that within the activities of one of the actors (intra) [4]. Whereas, researchers were interested in the integration and coordination of the actors of the SC, in order to make the flow more fluid, agile and responsive to the dynamics of the market [4-6]. They had proposed solutions for the management of the SC often requiring a modification of the organizational, facilitated by the implementation of the new technologies of information and communication. However, the cumbersome and the difficulty of implementing these approaches, often pose problems. In particular, small and medium-sized enterprises, the fact of the rigidity and the limitation of their financial means, cannot always be involved in projects of major restructuration of their organizations [7]. 2.2 The modeling and connectivity the simulation of Our contribution fallows the same approach of modeling and simulation, to respond to the problem of the configuration of the manufacturing links, (...truncated)


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Lamyae Fahhama, Abdellah Zamma, Khalifa Mansouri, Zayer Elmajid. The elaboration of a manufacturing flow connectivity model, based on Multi Agent System, MATEC Web of Conferences, 2017, 105, DOI: 10.1051/matecconf/201710500011