دانلود مقاله ISI انگلیسی شماره 5607
عنوان فارسی مقاله

برنامه ریزی تولید در شرکت های تنظیم مجدد و تنظیم مجدد سیستم های تولید

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
5607 2005 4 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
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عنوان انگلیسی
Production planning in reconfigurable enterprises and reconfigurable production systems
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : CIRP Annals - Manufacturing Technology, Volume 54, Issue 1, 2005, Pages 433–436

کلمات کلیدی
- تولید توزیع شده - سیستم چند عامله
پیش نمایش مقاله
پیش نمایش مقاله برنامه ریزی تولید در شرکت های تنظیم مجدد و تنظیم مجدد سیستم های تولید

چکیده انگلیسی

Reconfigurable enterprises and reconfigurable production systems represent nowadays one of the key responses towards the organisational and manufacturing needs arising in the new era known as mass customization. The paper proposes an Agent Based approach for the production planning activities in reconfigurable enterprises, characterized by complex, articulated and geographically distributed production capacities contended by many product families and composed by reconfigurable production systems that allow quick adjustment of production capacity and functionality consenting to manufacture different products of the same part family.

مقدمه انگلیسی

Mass customization consequences, such as shorter product life cycles and low-cost variety, have brought critical pressures to improve production efficiency, re- sponsiveness to market changes, and substantial cost reduction. Scientific papers, as well as Government and Industry expectations, seem to acknowledge that the challenge keyword is "reconfiguration" [I]. Specifically, two major industrial responses to mass customization can be acknowledged: Reconfigurable Manufacturing and Reconfigurable Enterprise (RE). From a manufactur- ing perspective, the most agreed response to mass cus- tomization is connected to the concepts of modularity and reconfigurability of production systems. Thanks to their modularity Reconfigurable manufacturing systems (RMS) allow to achieve low cost customization [2]. On the other side, from an organizational point of view, Reconfigurable Production Networks or Enterprises are nowadays considered the industrial response to the great challenges conveyed by this new era characterized by the global market and the impressive advances of infor- mation and communication technology [3]. Market global- ization, indeed, has offered to companies the possibility to split geographically their production capacity; business opportunities lead companies to work together in tempo- rary organizations; in the same firm, business units be- have as autonomous profit centres and compete each other for the production capacity allocation. In other words, REs represent production networks made of dif- ferent and geographically dispersed plants which can be reconfigured in order to gather a specific production process or product family. However, the RE members need to be properly coordinated to achieve reduction in lead times and costs, alignment of interdependent deci- sion-making processes, and improvement in the overall performance of each member, as well as of the RE. In this context, operations management and coordination of RE and RMS are challenging issues involving distributed problem solving tasks. Specifically, in production plan- ning and control activities, the concern on internal pro- duction planning is replaced by the complexity of external supply chain. Indeed, as soon as a manufacturing unit tries to achieve coordination with its partners, it quickly faces difficulties associated with different operational conventions, locally specific constraints, software legacy and properties, conflicting objectives and misaligned in- centives. This task becomes even more difficult when each RE member or plant consist of reconfigurable pro- duction system; indeed, the reconfiguration capability makes planning and scheduling processes even more com plex. Multi Agent Systems (MAS) techniques have been largely used for their suitability in modelling complex sys- tems involving multiple autonomous agents with internal knowledge and reasoning engines which communicate and negotiate with each other by exchanging messages according to specific negotiation protocols [4]. The aim of this paper is to give an overview on the new problems associated with production planning and control in RE and RMS and to present how distributed decision mak- ing, MAS technology and negotiation mechanisms can be utilized for solving these kinds of problems.

نتیجه گیری انگلیسی

This paper addresses the problem of production planning in RE. Starting from a production planning analysis con- ducted in collaboration with one world leader semicon- ductor Company, the authors propose a classification of PP problem in RE and believe that successful tools for operation management in RE need to be based on the decentralisation of the decisions, where each entity in charge of specific planning decisions makes its own de- cision autonomously, while global planning decisions are achieved by means of coordination and negotiation among them. The paper describes the adoption of a MAS model where automated agents negotiate for solving the problem of allocating production plants to product groups. The negotiation model is tested by comparing its results with the ones obtained by using a centralized planning approach based on a MIP model. A numerical example has been presented and the results confirm the competi- tive benefits that negotiation could bring.

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