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A memory module industry's supply chain usually consists of multiple manufacturing sites and multiple distribution centers. In order to fulfill the variety of demands from downstream customers, production planners need not only to decide the order allocation among multiple manufacturing sites but also to consider memory module industrial characteristics and supply chain constraints, such as multiple material substitution relationships, capacity, and transportation lead time, fluctuation of component purchasing prices and available supply quantities of critical materials (e.g., DRAM, chip), based on human experience. In this research, a directed graph-based supply network planning (DGSNP) model is developed for memory module industry. In addition to multi-site order allocation, the DGSNP model explicitly considers production planning for each manufacturing site, and purchasing planning from each supplier. First, the research formulates the supply network's structure and constraints in a directed-graph form. Then, a proposed genetic algorithm (GA) solves the matrix form which is transformed from the directed-graph model. Finally, the final matrix, with a calculated maximum profit, can be transformed back to a directed-graph based supply network plan as a reference for planners. The results of the illustrative experiments show that the DGSNP model, compared to current memory module industry practices, determines a convincing supply network planning solution, as measured by total profit.
In a product environment where various product-service systems (PSSs) are already being provided, the provision of a different type of PSS is difficult for second movers but necessary for their sustainability and differentiation. Despite the importance of providing distinguishing PSSs to market, prior PSS studies have not effectively considered the influence of existing PSSs in their methods. In response, we suggest an approach to generate new PSS concepts by employing general needs (GNs) and business system evolution patterns (BSEPs). Our approach 1) identifies customer GNs fulfilled by existing PSSs, 2) generates advanced PSS ideas from an evolutionary perspective by mapping the existing PSSs onto BSEPs, and 3) selects PSS ideas that can meet the unfulfilled or insufficiently considered GNs using a GN-PSS linking matrix, thereby generating new PSS concepts based on the selected ideas. The workings and practicability of this approach are illustrated using a PSS case study of furniture industry. This approach would provide PSS planners with an ability to generate the differentiated PSS concepts that handle the customer needs that have been untapped throughout a product's lifecycle. In addition, this approach as a module will have a synergetic effect when incorporated with other PSS methodologies.
A need to develop a multi-perspective assessment tool that will measure the institutional quality of service of public HEIs in the Philippines has been realized. Thus this study aims to propose a hierarchical conceptual model of service quality in public HEIs. Moreover, this study offers an industry-specific model of service quality, which can provide a foundation for further research regarding perceived service quality and a practical assessment tool for assessing quality in HEIs. The model underwent three phases of development. Analysis of data from 872 respondents from three state universities indicates that the proposed model passed the tests for sample adequacy, reliability, and discriminant /convergent validity. Moreover, model showed strong absolute and incremental fit indices. The model is composed of three levels with 71 variables representing 6 quality dimensions (Teaching Achievement, Research Capability, Delivery, Student Competence, Continuous Improvement, and Content) and 19 sub-dimensions.
Offshore wind power has been extremely popular in recent years, and in the energy technology field, relevant research has been increasingly conducted. However, research regarding patent portfolios is still insufficient. The purpose of this research is to study the status of mainstream offshore wind power technology and patent portfolios and to investigate major assignees and countries to obtain a thorough understanding of the developmental trends of offshore wind power technology. The findings may be used by the government and industry for designing additional strategic development proposals. Data mining methods, such as multiple correspondence analyses and k-means clustering, were implemented to explore the competing technological and strategic-group relationships within the offshore wind power industry. The results indicate that the technological positions and patent portfolios of the countries and manufacturers are different. Additional technological development strategy recommendations were proposed for the offshore wind power industry.
Due to an increased today's consciousness of environmental challenges, having green suppliers has become an essential concern for organizations about their supply chains. These considerations can help them to achieve their environmental goals and a competitive position in the industry. Thus, a robust framework to select the suppliers with environmental features and concerns is needed for today's organizations. This study presents an integrated approach included interpretive structural modeling, Fuzzy MICMAC analysis, Fuzzy AHP and Vikor method. Initially, related factors to the green supplier selection are identified and the using the ISM and MICMAC analysis to determine the interaction of the categories and their subfactors driving and dependence power. The results depict that subfactors of "company resources and administrative capacity" category are the most important and fundamental affecting supplier selection problem. AHP is used to determine each weight of criteria and then using Vikor method and devotions analysis to select the most appropriate supplier. To evaluate the proposed framework a case example of brake pad factory is selected. Results is shown that supplier "C" got the highest rank in overall dimensions of study but in the second rank regard to the environmental dimensions.
This study examines how green operations affect firm's environmental performance with green innovation as a mediator in the context of electronic industry. We carry out an empirical study with 141 valid questionnaires collected from high-tech manaufactures in Taiwan. The results show that positive relationships exist among green operations, green innovation and environmental performance (in both operational performance and managerial performance). However, an integration of green operations with green innovation would influence firm's environmental performance more positively than the sole effects of green operations. It suggests that high-tech manufacturers should pay greater attention to green innovative strategies in order to cope with customer demand and, thereby, enhancing customer satisfaction and sustainable operations. This study has contributed to the extant literature by providing valuable academic references and pragmatic guidelines for firms to gain competitive advantages through green operations and green innovation.
In this paper, an interactive planning and scheduling framework are proposed for optimising operations from pits to crushers in ore mining industry. Series of theoretical and practical operations research techniques are investigated to improve the overall efficiency of mining systems due to the facts that mining managers need to tackle optimisation problems within different horizons and with different levels of detail. Under this framework, mine design planning, mine production sequencing and mine transportation scheduling models are integrated and interacted within a whole optimisation system. The proposed integrated framework could be used by mining industry for reducing equipment costs, improving the production efficiency and maximising the net present value.
Measurement technology plays an important role in discrete manufacturing industry. Probe-type coordinate measuring machines (CMMs) are normally used to capture the geometry of part features. The measured points are then fit to verify a specified geometry by using the least squares method (LSQ). However, it occasionally overestimates the tolerance zone, which leads to the rejection of some good parts. To overcome this drawback, minimum zone approaches defined by the ANSI Y14.5M-1994 standard have been extensively pursued for zone fitting in coordinate form literature for such basic features as plane, circle, cylinder and sphere. Meanwhile, complex features such as torus have been left to be dealt-with by the use of profile tolerance definition. This may be impractical when accuracy of the whole profile is desired. Hence, the true deviation model of torus is developed and then formulated as a minimax problem. Next, a relatively new and simple population based evolutionary approach, particle swarm optimization (PSO), is applied by imitating the social behavior of animals to find the minimum tolerance zone torusity. Simulated data with specified torusity zones are used to validate the deviation model. The torusity results are in close agreement with the actual torusity zones and also confirm the effectiveness of the proposed PSO when compared to those of the LSQ.
This article describes a 2-in-1 methodology utilizing simulation optimization technique and Data Envelopment Analysis in measuring an accurate efficiency score. Given the high level of stochastic data in real environment, a novel methodology known as Data Collection Budget Allocation-Data Envelopment Analysis (DCBA-DEA) is developed. An example of the method application is shown in banking institutions. In addition to the novel approach presented, this article provides a new insight to the application domain of efficiency measurement as well as the way one conducts efficiency study.
The purpose of this paper is to provide a review of the background information regarding to the role of workplace on affecting people's performance. In today's industry creativity has a very special and important place because of the dynamic organizational changes and rapid growth of technology. To support these new working styles and specifically, to support creativity within an organization, flexible workplaces are often suggested. Since open-plan office offers more flexibility when compared to completely closed and private ones, they are seen to have more capabilities and are highly valued in today's industry. So the result of this study will contribute towards enhancing the understanding of the effect office design to enhance employees' performance, especially in creative tasks.