Cooperative and responsive manufacturing enterprises

Váncza, József; Monostori, László; Lutters, Diederick; Kumara, Soundar; Tseng, Mitchell M.; Valckenaers, Paul; Brussel, Hendrik Van

doi:10.1016/j.cirp.2011.05.009

Cited by 137 publications

(61 citation statements)

References 202 publications

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“…Determining the type of unexpected event is important because the system will be affected differently by each type of event, and requires different decisions to be made. Production systems that are able to react to various unexpected events, have to achieve the goal of a coordinated adaptive behaviour during execution of production activities, by responding dynamically to changes that occur while customer demand is satisfied in a cost-effective way [28]. In this type of system, it is important that the system acquires historical data and information to learn from past events [29].…”

Section: Hierarchical Production Planning (Hpp)mentioning

confidence: 99%

Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning

Vargas

Boza

Patel

et al. 2016

Data & Knowledge Engineering

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Abstract:The novel idea of inter-enterprise architecture from the enterprise engineering perspective allows collaborative networks to integrate and coordinate different organizations. Therefore, interenterprise architecture offers multiple benefits, including: joint process harmonization, business strategy and information technology alignment, technological cost reduction, risk and redundancies reduction, customer services improvement and enhanced responsiveness. Inter-enterprise architecture can be used to solve the different issues that collaborative networks face on a daily basis. A conceptual model that addresses the problem of unexpected events management in the context of hierarchical production planning to improve decision making in collaborative environments is proposed using of inter-enterprise architecture. The proposed conceptual model comprises of a framework, a modelling language and the methodology. The conceptual model has been applied to a Spanish collaborative network from the ceramic tile sector.

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Section: Hierarchical Production Planning (Hpp)mentioning

confidence: 99%

Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning

Vargas

Boza

Patel

et al. 2016

Data & Knowledge Engineering

View full text Add to dashboard Cite

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“…Thus, manufacturing enterprises need to be responsive to secure a competitive advantage in such an environment. Being responsive requires retaining a wide variety of manufacturing resources, however, it is seriously difficult for small and medium sized enterprises (SMEs) to do so [2]. Particularly, collaboration between SMEs has received attention as an effective solution.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Graphical Framework for Estimating Collaboration Levels in Cloud Manufacturing

2017

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Cloud manufacturing (CM) is an emerging manufacturing model based on collaboration among manufacturing enterprises in a cloud computing environment. Naturally, collaboration is one of main factors that impacts performance in a variety of ways such as quality, lead time, and cost. Therefore, collaboration levels should be considered when solving operational issues in CM. However, there has been no attempt to estimate these levels between enterprises participating in CM. The collaboration level among enterprises in CM is defined as the ability to produce a manufacturing service that satisfies a customer by means of collaborative production amongst enterprises. We measure it as the conditional probability that collaborative performances are high given collaborative performance factors (e.g., resource sharing, information sharing, etc.). In this paper, we propose a framework for estimating collaboration levels. We adopt a probabilistic graphical model (PGM) to develop the framework, since the framework includes a lot of random variables and complex dependencies among them. The framework yields conditional probabilities that two enterprises will reduce the total cost, improve resource utilization or quality through collaboration between them given each enterprise's features, collaboration possibility, and collaboration activities. The collaboration levels the proposed framework yields will help to handle diverse operational problems in CM.

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“…In these works, the quality deterioration due to the parts residence time along the stages of the manufacturing system is neglected. Other works considered supply chain coordination mechanisms in presence of product obsolescence [3]. Furthermore, production control policies based on WIP [4] and part release [5,6] regulation could support the achievement of improved production quality performance under product deterioration, although they do not provide mechanisms to directly control production lead times.…”

Section: Introduction Motivation and Objectivesmentioning

confidence: 99%

Production quality performance in manufacturing systems processing deteriorating products

2015

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In several manufacturing contexts including food industry, semiconductor manufacturing, and polymers forming, the product quality deteriorates during production by prolonged exposure to the air caused by excessive lead times. Buffers increase the system throughput while also increasing the production lead time, consequently affecting the product quality. This paper proposes a theory and methodology to predict the lead time distribution in multi-stage manufacturing systems with unreliable machines. The method allows to optimally set inventory levels to achieve target production quality performance in these systems. The industrial benefits are demonstrated in a real manufacturing system producing micro-catheters for medical applications.Manufacturing System, Quality, Deteriorating Product.

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Cooperative and responsive manufacturing enterprises

Cited by 137 publications

References 202 publications

Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning

Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning

Probabilistic Graphical Framework for Estimating Collaboration Levels in Cloud Manufacturing

Production quality performance in manufacturing systems processing deteriorating products

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