50 research outputs found

    New Shop Floor Control Approaches for Virtual Enterprises

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    The virtual enterprise paradigm seems a fit response to face market instability and the volatile nature of business opportunities increasing enterpriseโ€™s interest in similar forms of networked organisations. The dynamic environment of a virtual enterprise requires that partners in the consortium own reconfigurable shop floors. This paper presents new approaches to shop floor control that meet the requirements of the new industrial paradigms and argues on work re-organization at shop floor level.virtual enterprise; networked organisations

    Multi Agent Systems in Logistics: A Literature and State-of-the-art Review

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    Based on a literature survey, we aim to answer our main question: โ€œHow should we plan and execute logistics in supply chains that aim to meet todayโ€™s requirements, and how can we support such planning and execution using IT?โ€ Todayโ€™s requirements in supply chains include inter-organizational collaboration and more responsive and tailored supply to meet specific demand. Enterprise systems fall short in meeting these requirements The focus of planning and execution systems should move towards an inter-enterprise and event-driven mode. Inter-organizational systems may support planning going from supporting information exchange and henceforth enable synchronized planning within the organizations towards the capability to do network planning based on available information throughout the network. We provide a framework for planning systems, constituting a rich landscape of possible configurations, where the centralized and fully decentralized approaches are two extremes. We define and discuss agent based systems and in particular multi agent systems (MAS). We emphasize the issue of the role of MAS coordination architectures, and then explain that transportation is, next to production, an important domain in which MAS can and actually are applied. However, implementation is not widespread and some implementation issues are explored. In this manner, we conclude that planning problems in transportation have characteristics that comply with the specific capabilities of agent systems. In particular, these systems are capable to deal with inter-organizational and event-driven planning settings, hence meeting todayโ€™s requirements in supply chain planning and execution

    Business strategy driven IT systems for engineer-to-order and make-to-order manufacturing enterprises

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    This thesis reports research into the specification and implementation of an Information Technology (IT) Route Map. The purpose of the Route Map is to enable rapid design and deployment of IT solutions capable of semi-automating business processes in a manufacturing enterprise. The Map helps structure transition processes involved in โ€œidentification of key business strategies and design of business processesโ€ and โ€œchoice of enterprise systems and supporting implementation techniquesโ€. Common limitations of current Enterprise Resource Planning (ERP) systems are observed and incorporated as Route Map implications and constraints. Scope of investigation is targeted at Small to Medium Sized Enterprises (SMEs) that employ Engineer-To-Order (ETO) and Make-To-Order (MTO) business processes. However, a feature of the Route Map is that it takes into account contemporary business concerns related to โ€œglobalisationโ€, โ€œmergers and acquisitionsโ€ and โ€œtypical resource constraint problems of SMEsโ€. In the course of the research a โ€œBusiness Strategy Driven IT System Conceptโ€ was conceived and examined. The main purpose of this concept is to promote the development of agile and innovative business activity in SMEs. The Road Map encourages strategy driven solutions to be (a) specified based on the use of emerging enterprise engineering theories and (b) implemented and changed using componentbased systems design and composition techniques. Part-evaluation of the applicability and capabilities of the Road Map has been carried out by conducting industrial survey and case study work. This assesses requirements of real industrial problems and solutions. The evaluation work has also been enabled by conducting a pilot implementation of the thesis concepts at the premises of a partner SME

    Estimation and Allocation of Cost Savings from Collaborations

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์‚ฐ์—…๊ณตํ•™๊ณผ, 2021.8. ๋ฌธ์ผ๊ฒฝ.The physical internet (PI) is a state-of-the-art open global supply chain network that is gaining attention from both participants and researchers of supply chains. The PI uses standardized containers to dispatch shipments through an interconnected network within a supply chain, where information, storage facilities, and transportation methods are shared participants of the physical internet. The network aims to save costs, handle volatile demand and information, and be socially and environmentally responsible. Up until now, however, almost all studies concerning the PI have focused primarily on its conceptual development and the advantages of putting it into practical, widespread use. Studies that consider realistic constraints of its use, such as empty runs of transportation, limited capacity of resources, or an equitable allocation of the cost savings obtained from its implementation are limited. While in general the PI can offer greater efficiency and sustainability compared to the traditional supply chain network, in certain situations some users of it experience loss through its use because of the inherent setup it presents of sharing capacitated resources. Therefore, compensating companies that experience loss when joining a PI is essential in building a solid network. In this thesis, in order to address the minimization of a total cost problem in the production-inventory-distribution decision of a PI, we first propose a mixed-integer linear programming (MILP) model formulation that takes into account capacitated factory and warehouse capacity, the penalty sustained by empty runs of transportation, and the maximum delivery distance of freight runs. Next, we use the model to compare the costs incurred by individual players when they do not participate in the PI and the costs of collaboration in the PI in which players do participate. After comparing the costs saved by participating in the PI, we then allocated the cost savings among independent supply chains, allotting them through three different allocation methods, including the Shapley value method, which is a cooperative game theory solution method.ํ”ผ์ง€์ปฌ ์ธํ„ฐ๋„ท์€ ์ตœ์ฒจ๋‹จ์˜ ๊ณต์œ  ๊ธ€๋กœ๋ฒŒ ๊ณต๊ธ‰๋ง ๋„คํŠธ์›Œํฌ๋กœ ๋‹ค์–‘ํ•œ ํ•™์ž ๋ฐ ์‹ค๋ฌด์ž๋“ค์˜ ๊ด€์‹ฌ์„ ๋Œ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํ”ผ์ง€์ปฌ ์ธํ„ฐ๋„ท์€ ํ‘œ์ค€ํ™”๋œ ์ปจํ…Œ์ด๋„ˆ๋ฅผ ์ด์šฉํ•˜์—ฌ ์ƒํ˜ธ ์—ฐ๊ฒฐ๋œ ๋„คํŠธ์›Œํฌ๋ฅผ ํ†ตํ•ด ์ œํ’ˆ ๋ฐ ์žฌํ™”๋ฅผ ๋ฐœ์†กํ•ฉ๋‹ˆ๋‹ค. ์ด ๋•Œ, ์ •๋ณด, ๋ณด๊ด€ ์‹œ์„ค ๋ฐ ์šด์†ก ์ˆ˜๋‹จ์€ ์ฐธ์—ฌ์ž๋“ค ๊ฐ„์— ๊ณต์œ ๋ฉ๋‹ˆ๋‹ค. ์ด ๋„คํŠธ์›Œํฌ๋Š” ๋น„์šฉ์„ ์ ˆ๊ฐํ•˜๊ณ  ๋ณ€๋™์„ฑ์ด ํฐ ์ˆ˜์š”์™€ ์ •๋ณด๋ฅผ ์ฒ˜๋ฆฌํ•˜๊ณ  ์‚ฌํšŒ์ , ํ™˜๊ฒฝ์ ์œผ๋กœ ์ง€์†๊ฐ€๋Šฅ์„ฑ์„ ์œ ์ง€ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•ฉ๋‹ˆ๋‹ค. ์ง€๊ธˆ๊นŒ์ง€ ํ”ผ์ง€์ปฌ ์ธํ„ฐ๋„ท์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ์ฃผ๋กœ ๊ทธ ๊ฐœ๋…๊ณผ ํ”„๋ ˆ์ž„์›Œํฌ์˜ ๊ฐœ๋ฐœ, ๊ทธ๋ฆฌ๊ณ  ์‚ฌํšŒ์— ๋„์ž…ํ•˜์˜€์„ ๋•Œ์˜ ์žฅ์ ์„ ์ฃผ๋กœ ๋‹ค๋ฃจ์—ˆ์Šต๋‹ˆ๋‹ค. ํ”ผ์ง€์ปฌ ์ธํ„ฐ๋„ท ์†์—์„œ ์šด์†ก ์ˆ˜๋‹จ์˜ ๊ณต์ฐจ ์šดํ–‰, ์ž์›์˜ ํ•œ๊ณ„ ์šฉ๋Ÿ‰, ์ ˆ๊ฐํ•œ ๋น„์šฉ์˜ ๋ฐฐ๋ถ„ ๋“ฑ๊ณผ ๊ฐ™์€ ํ˜„์‹ค์ ์ธ ์š”์†Œ๋“ค์— ๋Œ€ํ•œ ๊ณ ๋ ค๋ฅผ ํ•œ ์—ฐ๊ตฌ๋“ค์€ ์•„์ง ์ œํ•œ์ ์ž…๋‹ˆ๋‹ค. ํ”ผ์ง€์ปฌ ์ธํ„ฐ๋„ท์€ ์ „์ฒด์ ์œผ๋กœ ๋ณด์•˜์„ ๋•Œ ๊ธฐ์กด์˜ ๊ณต๊ธ‰๋ง์— ๋น„ํ•ด ๋” ํฐ ํšจ์œจ์„ฑ๊ณผ ์ง€์† ๊ฐ€๋Šฅ์„ฑ์„ ์–ป์„ ์ˆ˜ ์žˆ์ง€๋งŒ ํŠน์ •ํ•œ ์ƒํ™ฉ์—์„œ๋Š” ์ผ๋ถ€ ์ฐธ๊ฐ€์ž๋Š” ํ˜„์‹ค์ ์ธ ์ œ์•ฝ ์ƒํ™ฉ์œผ๋กœ ์ธํ•ด ์˜คํžˆ๋ ค ์†ํ•ด๋ฅผ ๋ณด๋Š” ๊ฒฝ์šฐ๊ฐ€ ์กด์žฌํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋” ํฐ ํšจ์œจ์„ฑ๊ณผ ์ง€์† ๊ฐ€๋Šฅ์„ฑ์„ ์–ป์„ ์ˆ˜ ์žˆ๋Š” ํ”ผ์ง€์ปฌ ์ธํ„ฐ๋„ท์— ๊ธฐ์—…๋“ค์„ ์ฐธ์—ฌ์‹œํ‚ค๊ธฐ ์œ„ํ•ด์„  ๊ทธ๋“ค์ด ์ฐธ์—ฌํ•จ์œผ๋กœ์จ ์†ํ•ด๋ฅผ ๋ณด๋Š” ์ƒํ™ฉ์„ ๋งŒ๋“ค์ง€ ์•Š๋Š” ๊ฒƒ์ด ํ•„์ˆ˜์ ์ธ ์กฐ๊ฑด์ž…๋‹ˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋จผ์ € ์šด์†ก ์ˆ˜๋‹จ์˜ ๊ณต์ฐจ ์šดํ–‰ ํŽ˜๋„ํ‹ฐ ๋น„์šฉ, ์ตœ๋Œ€ ์šด์†ก ๊ฐ€๋Šฅ ๊ฑฐ๋ฆฌ, ์ฐฝ๊ณ ์˜ ํ์‡„๋ฅผ ๊ณ ๋ คํ•œ ํ†ตํ•ฉ ์ƒ์‚ฐ-์žฌ๊ณ -๋ฌผ๋ฅ˜ ์ตœ์†Œ ๋น„์šฉ ํ˜ผํ•ฉ ์ •์ˆ˜ ์„ ํ˜• ๊ณ„ํš๋ฒ• ๋ชจํ˜•์„ ์ œ์•ˆํ•˜์˜€์Šต๋‹ˆ๋‹ค. ๊ทธ ํ›„, ๊ฐœ๋ณ„์ ์ธ ๊ณต๊ธ‰๋ง์˜ ๋น„์šฉ๊ณผ ํ”ผ์ง€์ปฌ ์ธํ„ฐ๋„ท ํ•˜์—์„œ ํ˜‘์—…ํ•œ ํ†ตํ•ฉ ๊ณต๊ธ‰๋ง์˜ ๋น„์šฉ์„ ๋น„๊ตํ•˜์—ฌ ๋น„์šฉ ์ ˆ๊ฐ ํšจ๊ณผ๋ฅผ ๊ณ„์‚ฐํ•œ ํ›„ ํ˜‘๋ ฅ ๊ฒŒ์ž„์˜ ์ผ์ข…์ธ ์„€ํ”Œ๋ฆฌ ๊ฐ’์„ ํฌํ•จํ•œ ์„ธ ๊ฐ€์ง€ ๋ฐฐ๋ถ„ ๋ฐฉ๋ฒ•์„ ํ†ตํ•ด ๋น„์šฉ ์ ˆ๊ฐ ํšจ๊ณผ ๋ฐฐ๋ถ„์„ ์‚ดํŽด๋ณด์•˜์Šต๋‹ˆ๋‹ค.Chapter 1 Introduction 1 Chapter 2 Literature Review 5 2.1 The Physical Internet 5 2.2 Cost Savings Allocation Problem 8 Chapter 3 Model Formulation 10 3.1 Problem Definition 10 3.2 Assumptions 15 3.3 Notaions and Formulations 17 Chapter 4 Numerical Analysis of the MILP model 22 4.1 Experimental Design 22 4.2 Results Analysis 26 4.3 Cost Parameter Sensitivity Analysis 29 Chapter 5 Cost Savings Allocation Problem 31 5.1 No Pre-set Rules 31 5.2 Proportional to Customer Demand 33 5.3 The Shapley Value 35 Chapter 6 Conclusions 37 Bibliography 39 ๊ตญ๋ฌธ์ดˆ๋ก 42์„

    Aplicaรงรฃo de sistemas holonicos a manufatura inteligente

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    Orientador: Antonio BatocchioTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia MecanicaDoutorad
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