Management and Marketing - Research Publications
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ItemNo Preview AvailableA genetic algorithm for the generalised transportation problem(Inderscience, 2005-07-11)The generalised transportation problem (GTP) is an extension of the linear Hitchcock transportation problem. However, it does not have the unimodularity property, which means the linear programming solution (like the simplex method) cannot guarantee to be integer. This is a major difference between the GTP and the Hitchcock transportation problem. Although some special algorithms, such as the generalised stepping-stone method, have been developed, but they are based on the linear programming model and the integer solution requirement of the GTP is relaxed. This paper proposes a genetic algorithm (GA) to solve the GTP and a numerical example is presented to show the algorithm and its efficiency. Copyright © 2005 Inderscience Enterprises Ltd.
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ItemNo Preview AvailableA multi-depot travelling salesman problem and its iterative and integrated approaches(Inderscience, 2006)Resource allocation is one of the major decision problems arising in higher education. Resources This paper formulates a logistics distribution problem as the multi-depot travelling salesman problem (MDTSP). The decision makers not only have to determine the travelling sequence of the salesman for delivering finished products from a warehouse or depot to a customer, but also need to determine which depot stores which type of products so that the total travelling distance is minimised. The MDTSP is similar to the combination of the travelling salesman and quadratic assignment problems. In this paper, the two individual hard problems or models are formulated first. Then, the problems are integrated together, that is, the MDTSP. The MDTSP is constructed as both integer nonlinear and linear programming models. After formulating the models, we verify the integrated models using commercial packages, and most importantly, investigate whether an iterative approach, that is, solving the individual models repeatedly, can generate an optimal solution to the MDTSP.
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ItemNo Preview AvailableAn integrated multiple criteria decision making approach for resource allocation in higher education(Inderscience, 2007)Resource allocation is one of the major decision problems arising in higher education. Resources must be allocated optimally in such a way that the performance of universities can be improved. This paper applies an integrated multiple criteria decision making approach to the resource allocation problem. In the approach, the Analytic Hierarchy Process (AHP) is first used to determine the priority or relative importance of proposed projects with respect to the goals of the universities. Then, the Goal Programming (GP) model incorporating the constraints of AHP priority, system, and resource is formulated for selecting the best set of projects without exceeding the limited available resources. The projects include 'hardware' (tangible university's infrastructures), and 'software' (intangible effects that can be beneficial to the university, its members, and its students). In this paper, two commercial packages are used: Expert Choice for determining the AHP priority ranking of the projects, and LINDO for solving the GP model
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ItemOptimal production planning for PCB assembly(Springer Verlag, 2007)
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ItemStrategic Logistics Outsourcing: An Integrated QFD and AHP Approach(IEEE, 2009-01-01)
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ItemComponent scheduling for chip shooter machines: a hybrid genetic algorithm approach(PERGAMON-ELSEVIER SCIENCE LTD, 2003-12-01)
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ItemA hybrid genetic algorithm for component sequencing and feeder arrangement(SPRINGER, 2004-06-01)
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ItemPCB assembly line assignment: A genetic algorithm approach(Emerald Group Publishing Limited, 2005)Purpose - This paper sets out to study a production-planning problem for printed circuit board (PCB) assembly. A PCB assembly company may have a number of assembly lines for production of several product types in large volume. Design/methodology/approach - Pure integer linear programming models are formulated for assigning the product types to assembly lines, which is the line assignment problem, with the objective of minimizing the total production cost. In this approach, unrealistic assignment, which was suffered by previous researchers, is avoided by incorporating several constraints into the model. In this paper, a genetic algorithm is developed to solve the line assignment problem. Findings - The procedure of the genetic algorithm to the problem and a numerical example for illustrating the models are provided. It is also proved that the algorithm is effective and efficient in dealing with the problem. Originality/value - This paper studies the line assignment problem arising in a PCB manufacturing company in which the production volume is high.
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ItemMultiple criteria decision-making techniques in higher education(Emerald, 2006)Purpose – The purpose of this paper is to review the literature which focuses on four major higher education decision problems. These are: resource allocation; performance measurement; budgeting; and scheduling. Design/methodology/approach – Related articles appearing in the international journals from 1996 to 2005 are gathered and analyzed so that the following three questions can be answered: “What kind of decision problems were paid most attention to?”; “Were the multiple criteria decision-making techniques prevalently adopted?”; and “What are the inadequacies of these approaches?” Findings – Based on the inadequacies, some improvements and possible future work are recommended, and a comprehensive resource allocation model is developed taking account of these factors. Finally, a new knowledge-based goal programming technique which integrates some operations of analytic hierarchy process is proposed to tackle the model intelligently. Originality/value – Higher education has faced the problem of budget cuts or constrained budgets for the past 30 years. Managing the process of the higher education system is, therefore, a crucial and urgent task for the decision makers of universities in order to improve their performance or competitiveness.