SWMRD: a Semantic Web-based manufacturing resource discovery system for cross-enterprise collaboration

Wong

International Journal of Production Research

2013

This paper addressed the order tracking and allocation problem in an apparel manufacturing environment with multiple plants. A cloud-based intelligent decision-making system was developed to tackle this problem, which combined radio frequency identification and cloud computing technologies to capture real-time production records and make remote production order tracking, and employed computational intelligence techniques to generate effective order allocation solutions to appropriate plants. To evaluate the effectiveness of the proposed system, the system was implemented in an apparel manufacturing company with multiple plants, which reported distinct reductions in production costs and increases in production efficiency. This paper also investigated learning phenomenon in production and its effects on production efficiency and decision-making performance.

Section: Introductionmentioning

confidence: 99%

A cloud-based intelligent decision-making system for order tracking and allocation in apparel manufacturing

Wong

International Journal of Production Research

2013

International Journal of Computer Integrated Manufacturing

“…Therefore, the modeling of the PPDRC ontology was carried out through OWL/SWRL, which are widely used within globally extended manufacturing teams, because they enhance the semantic interoperability and reuse of knowledge resources (Cai et al 2010;Lin et al 2011). SWRL (Semantic Web Rule Language) improves the semantic expressivity of OWL (Ontology Web Language) as it allows the expression of knowledge that cannot be directly defined with the OWL axioms (Lin 2008).…”

Section: Methodsmentioning

confidence: 99%

“…are some works which demonstrate the need to discover manufacturing resources and services in an efficient way to improve the agility of the manufacturing process (Jang et al 2008;Ameri and Dutta 2008;Cai et al 2010). With this objective in mind, ontological models base on OWL are used.…”

Section: State Of the Artmentioning

confidence: 99%

Knowledge representation for product and processes development planning in collaborative environments

Solano

Rosado

Romero

2013

Efficiency in the management of integrated product and processes development is a basic requisite to guarantee competitiveness and success for manufacturing companies. This means that operational management of activities, and human and material resources is extremely important, especially in virtual OKP (One-of-aKind Production) systems, and must cover related aspects of their capabilities and social character as well as assignment criteria. In this context, and to facilitate collaborative resources management, an ontology focused on resources and capabilities is proposed in this work. This ontology supports the necessary knowledge for generic and collaborative process planning, providing a shared common semantic for all the members of the virtual company. This work differs from other proposed ontologies in the area of process planning in that the resources considered are all those elements that participate in the execution of the different activity types involved in this wide and complex process. The ontology directly covers the shared, social nature of the resources, the agentive behavior of many of them and a characterization of their capabilities, thus providing specific solutions to the needs of the Collaborative Integrated Development of Products, Processes and Resources (CIDP 2 R) process.

IFIP Advances in Information and Communication Technology

“…A literature survey shows that most discovery methods use product requirements only to match with the supplier's manufacturing capability at a semantic level [2][3][4][5]. These methods are not appropriate for building a long-term strategic supply chain, but for a single trading of specific products [6].…”

Section: Dimensions Of Buyer's Requirements and Supplier's Capabilitymentioning

confidence: 99%

Semantic Web-Based Supplier Discovery Framework

Lee

Jung

Kim

et al. 2013

Abstract. As companies move forward to source globally, supply chain management has gained attention more than ever before. In particular, the discovery and selection of capable suppliers has become a prerequisite for a global supply chain operation. Manufacturing e-marketplaces have helped companies discover new suppliers and/or buyers fast and effective for their products and services. Due to the description of requirements and capabilities in isolation, their true meanings may not be uniformly interpreted from each other. The issue of semantics between suppliers and buyers, then, remains an obstacle.The main objective is to propose a semantic web-based supplier discovery framework for building a long-term strategic supply chain. Specifically, 1) a collaboration ontology is developed to represent the supplier's capability information and the buyer's requirements. 2) Supplier's potential capability is reasoned. 3) Buyer's requirements are semantically matched with supplier's capability information. In addition, a prototype demonstrates the practicality of the framework.