Management and Marketing - Research Publications

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Now showing 1 - 10 of 12
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    Applied operational research with SAS
    Emrouznejad, A ; Ho, W (CRC Press (Taylor & Francis Group), 2011-12)
    Using a wide range of operational research (OR) optimization examples, Applied Operational Research with SAS demonstrates how the OR procedures in SAS work. The book is one of the first to extensively cover the application of SAS procedures to OR problems, such as single criterion optimization, project management decisions, printed circuit board assembly, and multiple criteria decision making. The text begins with the algorithms and methods for linear programming, integer linear programming, and goal programming models. It then describes the principles of several OR procedures in SAS. Subsequent chapters explain how to use these procedures to solve various types of OR problems. Each of these chapters describes the concept of an OR problem, presents an example of the problem, and discusses the specific procedure and its macros for the optimal solution of the problem. The macros include data handling, model building, and report writing. While primarily designed for SAS users in OR and marketing analytics, the book can also be used by readers interested in mathematical modeling techniques. By formulating the OR problems as mathematical models, the authors show how SAS can solve a variety of optimization problems.
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    Integrated component scheduling models for chip shooter machines
    Ho, W ; Ji, P (ELSEVIER SCIENCE BV, 2010-01)
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    Design of a genetic algorithm for bi-objective flow shop scheduling problems with re-entrant jobs
    Lee, CKM ; Lin, D ; Ho, W ; Wu, Z (SPRINGER LONDON LTD, 2011-10)
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    Strategic sourcing: a combined QFD and AHP approach in manufacturing
    Ho, W ; Dey, PK ; Lockstrom, M ; Xie, C (EMERALD GROUP PUBLISHING LTD, 2011)
    Purpose This paper aims to develop an integrated analytical approach, combining quality function deployment (QFD) and analytic hierarchy process (AHP) approach, to enhance the effectiveness of sourcing decisions. Design/methodology/approach In the approach, QFD is used to translate the company stakeholder requirements into multiple evaluating factors for supplier selection, which are used to benchmark the suppliers. AHP is used to determine the importance of evaluating factors and preference of each supplier with respect to each selection criterion. Findings The effectiveness of the proposed approach is demonstrated by applying it to a UK‐based automobile manufacturing company. With QFD, the evaluating factors are related to the strategic intent of the company through the involvement of concerned stakeholders. This ensures successful strategic sourcing. The application of AHP ensures consistent supplier performance measurement using benchmarking approach. Research limitations/implications The proposed integrated approach can be principally adopted in other decision‐making scenarios for effective management of the supply chain. Practical implications The proposed integrated approach can be used as a group‐based decision support system for supplier selection, in which all relevant stakeholders are involved to identify various quantitative and qualitative evaluating criteria, and their importance. Originality/value Various approaches that can deal with multiple and conflicting criteria have been adopted for the supplier selection. However, they fail to consider the impact of business objectives and the requirements of company stakeholders in the identification of evaluating criteria for strategic supplier selection. The proposed integrated approach outranks the conventional approaches to supplier selection and supplier performance measurement because the sourcing strategy and supplier selection are derived from the corporate/business strategy.
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    Design and development of logistics workflow systems for demand management with RFID
    Lee, CKM ; Ho, W ; Ho, GTS ; Lau, HCW (PERGAMON-ELSEVIER SCIENCE LTD, 2011-05)
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    Supply chain knowledge management: A literature review
    Marra, M ; Ho, W ; Edwards, J (Elsevier BV, 2012)
    This paper aims to contribute to the debate on the role of knowledge management in supply chain management by reviewing the published literature. A total of 58 selected referred journal articles were systematically analyzed. This review identifies various theoretical and methodological characteristics of the way in which knowledge management applications are proposed in the supply chain context. The review shows that little evidence exists of the positive relation between the use of IT solutions and firms’ performance. Some issues remain unexplored such as the problem of knowledge obsolescence in supply chain management. A deeper understanding of the knowledge accumulation process could give new insights. The paper concludes with some future directions for theory construction and empirical research.
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    Strategic logistics outsourcing: An integrated QFD and fuzzy AHP approach
    Ho, W ; He, T ; Lee, CKM ; Emrouznejad, A (Elsevier BV, 2012)
    This paper develops an integrated approach, combining quality function deployment (QFD), fuzzy set theory, and analytic hierarchy process (AHP) approach, to evaluate and select the optimal third-party logistics service providers (3PLs). In the approach, multiple evaluating criteria are derived from the requirements of company stakeholders using a series of house of quality (HOQ). The importance of evaluating criteria is prioritized with respect to the degree of achieving the stakeholder requirements using fuzzy AHP. Based on the ranked criteria, alternative 3PLs are evaluated and compared with each other using fuzzy AHP again to make an optimal selection. The effectiveness of proposed approach is demonstrated by applying it to a Hong Kong based enterprise that supplies hard disk components. The proposed integrated approach outperforms the existing approaches because the outsourcing strategy and 3PLs selection are derived from the corporate/business strategy.
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    An alternative formulation for the fuzzy assignment problem
    Emrouznejad, A ; Zerafat Angiz, M ; Ho, W (Taylor & Francis, 2012)
    The existing assignment problems for assigning n jobs to n individuals are limited to the considerations of cost or profit measured as crisp. However, in many real applications, costs are not deterministic numbers. This paper develops a procedure based on Data Envelopment Analysis method to solve the assignment problems with fuzzy costs or fuzzy profits for each possible assignment. It aims to obtain the points with maximum membership values for the fuzzy parameters while maximizing the profit or minimizing the assignment cost. In this method, a discrete approach is presented to rank the fuzzy numbers first. Then, corresponding to each fuzzy number, we introduce a crisp number using the efficiency concept. A numerical example is used to illustrate the usefulness of this new method.