How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.

The knowledge-creating company : how Japanese companies create the dynamics of innovation

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Design Of Analog Cmos Integrated Circuits

A comparative literature analysis of definitions for green and sustainable supply chain management

A B S T R A C T This paper aims to provide a systematic overview of the state of the art in energy and resource efficiency increasing methods and techniques in the domain of discrete part manufacturing, with attention for the effectiveness of the available options. For this purpose a structured approach, distinguishing different system scale levels, is applied: starting from a unit process focus, respectively the multi-machine, factory, multi-facility and supply chain levels are covered. Determined by the research contributions reported in literature, the de facto focus of the paper is mainly on energy related aspects of manufacturing. Significant opportunities for systematic efficiency improving measures are identified and summarized in this area. 2012 CIRP.

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Towards Energy and Resource Efficient Manufacturing: A Processes and Systems Approach

Despite the importance of decision-making (DM) techniques for construction of effective decision models for supplier selection, there is a lack of a systematic literature review for it. This paper provides a systematic literature review on articles published from 2008 to 2012 on the application of DM techniques for supplier selection. By using a methodological decision analysis in four aspects including decision problems, decision makers, decision environments, and decision approaches, we finally selected and reviewed 123 journal articles. To examine the research trend on uncertain supplier selection, these articles are roughly classified into seven categories according to different uncertainties. Under such classification framework, 26 DM techniques are identified from three perspectives: (1) Multicriteria decision making (MCDM) techniques, (2) Mathematical programming (MP) techniques, and (3) Artificial intelligence (AI) techniques. We reviewed each of the 26 techniques and analyzed the means of integrating these techniques for supplier selection. Our survey provides the recommendation for future research and facilitates knowledge accumulation and creation concerning the application of DM techniques in supplier selection.

Application of decision-making techniques in supplier selection: A systematic review of literature

This paper is aimed at providing a broad review of the main approaches to supplier-related issues especially supplier selection, supplier–buyer relationships, supplier–buyer flexibility in relationships in a dynamic supply chain, through the description of the main characteristics, techniques, ongoing developments and research activities. Also, the issues relating to integration of core processes across organisational boundaries through improved communication, partnerships, alliances and cooperation are addressed, with its inherent focus on Web-enabled collaboration among the suppliers and the buyers. The aim of this paper is to consolidate the existing research efforts concerning the supplier-related issues, and to identify promising emerging issues for further study in this area. More specifically, this work analyses how diverse modelling techniques such as agent technology, petri nets, fuzzy logic and data mining can be applied to support dynamic supply chain configurations with reference to supplier-r...

Select supplier-related issues in modelling a dynamic supply chain: potential, challenges and direction for future research

Owing to ill-structured, dynamic environments and the presence of multiple decision-makers with conflicting viewpoints, comprehension, analysis and support of the supplier evaluation process becomes more and more difficult. Moreover, with the complexities of issues such as the role of leadership, the influence of group formation, and analysis of disagreements, it cannot be predictable that there will ever exist a solution to cope with all imprecise, multi-criteria/multi-actor situations. A fuzzy association rules-based approach may be suited for the judgement of human subjects. In this paper, we develop an approach based on Fuzzy Association Rule Mining to support the decision makers by enhancing the flexibility in making decisions for evaluating suppliers with both tangibles and intangibles attributes. Also, by checking the fuzzy classification rules, the goal of knowledge acquisition can be achieved in a framework in which assessments could be established without constraints, and consequently checked an...

Supplier selection using fuzzy association rules mining approach

Supply chain excellence has a real impact on business strategy. Building supply chains as flexible systems represents one of the most exciting opportunities to create value and one of the most challenging tasks for the policy makers. It requires integrated decision making amongst autonomous chain partners with effective decision knowledge sharing between them. The key to success lies in knowing which decision has more impact on the overall performance and this can be achieved by appropriate knowledge sharing. In this context, knowledge management (KM) can be used as an effective approach to achieve knowledge sharing and decision synchronisation in supply chains. Flexible supply chains (FSCs) are more complex and involve multiple autonomous players with varying technical cultures (affects knowledge mindsets), managerial background (affects decision knowledge) and supply chain management (SCM) exposures (affects knowledge sharing attitudes). Thus there is a need to develop demo models that can encourage cha...

Decision knowledge sharing: flexible supply chains in KM context

This paper presents design and application of a level shifter circuit which works with a single power supply. Unlike the conventional level shifter circuits, the proposed level shifter can shift any voltage level signal to a desired higher level without any leakage current. Use of single supply level shifter greatly reduces the supply routing and layout congestion within the chip when level shifting is required between different voltage domains. It also reduces pin count if level shifting is required between two or more chips operating at different supply voltages in a multi-voltage system. The proposed circuit is generic in nature and the voltage range at which level shifting can be done is limited by the technology only. The circuits was designed in 90nm CMOS technology and simulated in SPICE. The simulation results show that the proposed level shifter circuit is able to shift the input signal from 1.2V to 2.5V at maximum frequency of 500MHz.

A single supply level shifter for multi-voltage systems

This article is aimed at providing a broad review of the main approaches to information related issues in a dynamic supply chain, through the description of the main characteristics, techniques, ongoing developments and research activities. The literature is examined from the perspective of the existing information systems that support supply chain dynamics at operational and strategic levels, with its inherent focus on web-enabled collaboration among supply chain partners. Various issues related to integration of core processes across organisational boundaries through improved communication, partnerships, alliances and cooperation in vague and uncertain conditions are also addressed. We review the recent trends in supply chain management and analyse how diverse modelling techniques such as agent technology and Petri net can be applied to support dynamic supply chain configuration. The purpose of this article is to consolidate the existing research efforts concerning the issues related to information syst...

Sanjay K. Wadhwa

Papers

Select supplier-related issues in modelling a dynamic supply chain: potential, challenges and direction for future research

Supplier selection using fuzzy association rules mining approach

Decision knowledge sharing: flexible supply chains in KM context

A single supply level shifter for multi-voltage systems

Revisiting information systems to support a dynamic supply chain: issues and perspectives