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2014年 第2卷 第2期 刊出日期:2014-06-28
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Guest editorial of ‘‘Intelligent logistics and supply chains’’
Yi Wang ? Jan Ola Strandhagen ? Ke-Sheng Wang
2014, 2(2): 95-96. doi:
10.1007/s40436-014-0076-z
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861
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Ontology-based interoperability solutions for textile supply chain
Rishad Rayyaan ? Yi Wang ? Richard Kennon
2014, 2(2): 97-105. doi:
10.1007/s40436-014-0073-2
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1167
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864
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Existence of interoperability within the enterprises is essential for textile supply chain to efficiently face the challenges from contemporary competitors, to find new business opportunities and to render better customer service.Exchange of business documents, being semantically consistent, is the way to achieve interoperability. However,heterogeneity of the structures of the enterprises poses challenges for establishing interoperability. Ontology based semantic interoperability framework has now been proven as an effective solution for enterprise interoperability. In this paper, the existing ontology-based interoperability solutions in the context of textile supply chain have been compiled and research gaps have been identified.The ontological methods, such as unified process for ontology (UPON) and methontology have been analyzed, and UPON have been shown as a suitable ontology development method for textile supply chain.
Intelligent and integrated RFID (II-RFID) system for improving traceability in manufacturing
Ke-Sheng Wang
2014, 2(2): 106-120. doi:
10.1007/s40436-014-0053-6
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2375
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In the wake of globalization, many modern manufacturing companies in Norway have come under intense pressure caused by increased competition, stricter government regulation, and customer demand for higher value at low cost in a short time. Manufacturing companies need traceability, which means a real-time view into their production processes and operations. Radio frequency identification (RFID) technology enables manufacturing companies to gain instant traceability and visibility because it handles manufactured goods, materials and processes transparently. RFID has become an important driver in manufacturing and supply chain activities. However, there is still a challenge in effectively deploying RFID in manufacturing. This paper describes the importance for Norwegian manufacturing companies to implement RFID technology, and shows how the intelligent and integrated RFID (II-RFID) system, which has been developed in the Knowledge Discovery Laboratory of Norwegian University of Science and Technology, provides instant traceability and visibility into manufacturing processes. It supports the Norwegian manufacturing industries survive and thrive in global competition. The future research work will focus on the field of RFID data mining to support decision-making process in manufacturing.
RFID unreliable data filtering by integrating adaptive sliding window and Euclidean distance
Li-Lan Liu ? Zi-Long Yuan ? Xue-Wei Liu ?Cheng Chen ? Ke-Sheng Wang
2014, 2(2): 121-129.
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958
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997
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Through improving the redundant data filtering of unreliable data filter for radio frequency identification (RFID) with sliding-window, a data filter which integrates self-adaptive sliding-window and Euclidean distance is proposed. The input data required being filtered have been shunt by considering a large number of redundant data existing in the unreliable data for RFID and the redundant data in RFID are the main filtering object with utilizing the filter based on Euclidean distance. The comparison between the results from the method proposed in this paper and previous research shows that it can improve the accuracy of the RFID for unreliable data filtering and largely reduce the redundant reading rate.
Approaching lean product development using system dynamics:investigating front-load effects
Alemu Moges Belay ? Torgeir Welo ?Petri Helo
2014, 2(2): 130-140. doi:
10.1007/s40436-014-0079-9
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1364
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Competing with successful products has become perplexing with several uncertainties and transmutes from time to time as customers’ expectations are dynamic. That is why manufacturing firms exhaustively strive to look for a better competitive frontier using wellestablished and innovative product development (PD) processes. In this paper, we would like to answer three research questions: (i) What would be the effects of frontloading in PD? (ii) Can we improve our PD process endlessly? (iii) When is the critical time that the firm should take remedial action for improvements? As a contribution to the vast numbers of improvement methods in new product development (NPD), this paper investigates the effects of front-loading using set-based concurrent engineering (SBCE) on cost and lead time. Models are developed and treated using a system dynamics (SD) approach. We assign a hypothetical upfront investment for SBCE and compare its effects on total cost and lead time of the development process. From the research, it is found that the total cost of PD is reduced almost by half—although the front loading is higher in order to encompass multiple design alternatives. The total product lead time is reduced by almost 20 %. The model reveals the critical time for improvement of the PD process. We use SD tool (e.g., STELLA) for simulation and visualization of the complex PD model, using SBCE as one of several strategies to frontload activities in the NPD process.
Implications of automation in engineer-to-order production:a case study
B?rge Sj?bakk ? Maria Kollberg Thomassen ?Erlend Alfnes
2014, 2(2): 141-149. doi:
10.1007/s40436-014-0071-4
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1135
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In order to retain a certain level of production in Norway, suppliers to the Norwegian maritime industry need to lower their production costs. Automation is generally an effective way of achieving this in standardized high-volume, low variety production. However, manufacturing companies in the Norwegian maritime industry typically supply capital-intensive, advanced and customized products in low volumes. In this engineer-to-order production situation, manual labor is traditionally preferred over automation. Nonetheless, such companies increasingly automate parts of their production. This paper presents a case of a supplier that has chosen to automate its welding operations, the implications and determinants of this decision.
Incentive regulation of banks on third party logistics enterprises in principal-agent-based inventory financing
Xue-Hua Sun ? Xue-Jian Chu ? Zhong-Dai Wu
2014, 2(2): 150-157. doi:
10.1007/s40436-014-0072-3
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1181
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In inventory financing, asymmetric information between banks and the third party logistics enterprises may incur moral risks, often causing economic losses of banks.To effectively solve this problem, a pure incentive scheme and a regulatory incentive scheme are designed with the principal-agent theory. By comparison, it is found that the pure incentive model is not applicable to practical conditions, and regulatory incentive model can not only solve practical problems substantially but also outbalance pure incentive model under certain conditions. The research results from example analysis given in this paper offer theoretical instruction and a practical method for effective regulation of banks.
A framework for ICT-enabled real-time production planning and control
Emrah Arica ? Daryl J. Powell
2014, 2(2): 158-164. doi:
10.1007/s40436-014-0070-5
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This paper aims to develop a conceptual framework for real-time production planning and control (PPC).Firstly, we discuss the most prominently applied contemporary information and communication technologies for PPC. Enterprise resource planning (ERP) systems that integrate the value chain in an enterprise, manufacturing execution systems that manage and control the production on shopfloor, and advanced planning and scheduling (APS) systems that develop solutions for complex planning problems are the planning and control systems that have been analyzed. We emphasize the application of radio frequency identification as the most advanced and promising emerging real-time data capture technology that is currently available to manufacturers. Having analyzed the features and shortcomings of the individual systems perse, and by considering the advantages that may be realized through effective integration of these otherwise discrete systems, we propose a framework for real-time PPC.
The fit of planning methods for the part manufacturing industry,a case study
Philipp Spenhoff ? Marco Semini ? Erlend Alfnes ? Jan Ola Strandhagen
2014, 2(2): 165-172. doi:
10.1007/s40436-014-0075-0
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945
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This paper investigates the specific planning environment of an automotive part manufacturer and characterizes this environment based on variables regarding the product, its demand and the manufacturing process.The fit of different planning methods, namely material requirements planning, reorder point, cyclic planning, kanban, and heijunka to this specific planning environment is analyzed and evaluated by exploratory research. The results show that different product characteristics make it hard to apply a single planning method. None of the investigated methods show the ability to cover the complex requirements of a combined planning environment of two partly divergent product types with a deep value chain.
The dynamic of professional knowledge utilized in software applications for process controlling
Wladimir Bodrow
2014, 2(2): 173-178. doi:
10.1007/s40436-014-0078-x
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986
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Main objective of the presented paper is the examination of the professional knowledge used in intelligent software applications for process controlling. It concerns in particular the user instruction and the realization of corresponding interaction as well as the interface design. Regular approach for service of the different user groups is evaluated and extended in means of flexibility in the time. The rules decisive for the user interaction with the application are outlined. They represent the interdependency between quality of professional knowledge to be utilized and user group characteristics alter in time. An application scenario for knowledge visualization is presented to show the practicability of the concept developed.
Product portfolio map: a visual tool for supporting product variant discovery and structuring
So¨ren Ulonska ? Torgeir Welo
2014, 2(2): 179-191. doi:
10.1007/s40436-014-0077-y
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1046
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A fundamental criterion for reusing and continuously improving knowledge in product development is ensuring that the knowledge is explicit and visual. This paper is based on the situation of an engineer-to-order (ETO) manufacturing company, where historically grown product variety and related knowledge are diffuse (tacit).Consequently, several resources are used in (re)developing derivatives of previous products rather than innovating new ones. To establish a more competitive configure-to-order (CTO) product strategy, product knowledge needs to be revealed, systemized, and structured, and thus made explicit. Hence, product-specific knowledge and product variants have been analyzed and subsequently mapped at architectural, functional, and physical levels in one unified map and tested in the form of a proof-of-concept (POC) demonstrator with the introduced SME company. The result is a product portfolio map that forms a base for defining a systemized, transparent, unified product variant overview, which can be used as a basis for implementing a cross-variant product architecture and supporting knowledge-based approaches.
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