Volume 7 - 2016

Quality Improvement With Statistical Process Control in the Automotive Industry (pp. 1-8)

Radu Godina, Joao Matias, Susana Azevedo

In this context of a worldwide market opening, the economy defies firms with numerous challenges, is no longer enough to produce, the current principles are based on quality as a condition for achieving productivity and competitiveness. And given that the quality is not static, it is constantly being changed, and because customers are increasingly demanding, any business organization that aims to be competitive it has to innovate. In the competitive environment in which we live organizations increasingly seek to produce quality at the lowest possible cost, to ensure their own survival. One response to this claim is the Statistical Process Control (SPC) - a powerful management method which enables quality improvement and waste elimination. This paper suggests the improvement of the quality of a process through the use of SPC in an enterprise of the automotive industry makes a brief review of concepts related with the methodology and aims to demonstrate all the advantages associated with its use as a method for improving quality and reducing waste. To accomplish this, after being completed the sample collection, the interpretations of control charts and its analysis, it was made a study of the existing methodology of implementation of SPC in the same process, and it was sought a way to adapt it to the reality of the company.

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Review on Optimization of Hole-Making Operations for Injection Mould Using Non-Traditional Algorithms (pp. 9-14)

A.M. Dalavi, P.J. Pawar, T.P. Singh, A.S. Warke, P.D. Paliwal

Optimization of hole-making operations plays a crucial role in which tool travel and tool switch scheduling are the two major issues. Industrial products such as moulds, dies, engine block etc. consists of large number of holes having different diameters, depths and surface finish. This requiers large number of machining operations like drilling, reaming or tapping to achieve the final size of individual hole. This gives rise to large number of possible sequences to achieve final size of the hole. Optimal sequence of operations which reduces the overall processing cost of these hole-making operations are essential. Hence it is necessary to use non-traditional optimization techniques which are strong enough to handle these complex problems as well which gives optimal results. This paper reviews about the various non-traditional optimization techniques which are already implemented to solve optimization of hole-making operation problems.

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Theory of Constraints (TOC) Production and Manufacturing Performance (pp. 15-23)

Roberto Panizzolo

This paper is based on an empirical study of the relationship between Theory of Constraints (TOC) production and operational performance in manufacturing plants. The study uses a survey questionnaire to collect data from a sample of 61 European firms which have implemented the TOC approach. Analysis of variance (ANOVA) technique and regression models have been employed to test the research hypotheses. The results detect many differences and similarities in adoption of TOC practices across the countries and suggest that manufacturing managers should consider adopting some TOC practices instead of others. In particular the Drum-buffer-rope methodology, the development of a Master Production Schedule based on constraints and the use of Non-constraint resources with excess capacity are among the most important practices to enhance competitive performance of manufacturing plants.

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A Management Trinity: Employee Satisfaction, Customer Satisfaction and Economic Performance (pp. 25-30)

Luis Miguel Ciravegna Martins da Fonseca, Ricardo Lopes Ferro

Management and Total Quality Management Theories support the importance of employee satisfaction and customer satisfaction for companies economic results and ensuring success. However, there are still some gaps concerning evidence of relationships between these three constructs. This research aims to access if there are indeed positive relationships between employee satisfaction, customer satisfaction and companies economic performance. By using a large database from a Portuguese Official Agency, framed according to the EFQM Business Excellence Model, with inputs of small and medium companies in stable industries over 10 years, 3 hypotheses were statistically tested. The results support the propositions of valid relationships between EFQM Model results criteria with evidence of positive relationships between employees satisfaction and customer satisfaction and economic performance, and between customers satisfaction and companies economic performance, which is relevant both from a theoretical and practical point of view.

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Managing Innovation: Are Project Management Methods Enemies or Allies (pp. 31-41)

Danijela Ciric, Bojan Lalic, Danijela Gracanin

To achieve the long-term competitiveness companies are invited to a continuous process of innovation. When talking about innovation we are dealing with opportunities that offer the promise of new growth platforms. This high impact level comes with a set of challenges which lead us to the question how to build innovation capability and make these processes more manageable. Innovations are today mostly implemented through projects that require divergent thinking, willingness to devote resources to projects which are likely to fail and these seem incompatible with project management thinking involving the enforcement of strict standards most corporate cultures embrace. To address this problem, the paper examines whether project management methods are obstacles and constraints or can be used to make this process be more reliable instead of high-risk varied attempts of trial-and error. It is shown that it is of utmost importance to find the best fit between innovation project characteristics and project management approach. An overview of the state of the art about this matter is given.


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Can IoT be Used to Mitigate Food Supply Chain Risk? (pp. 43-48)

Ivan Beker, Milan Delic, Stevan Milisavljevic, Dusan Gosnik, Gordana Ostojic, Stevan Stankovski

The Internet-of-Things are new, but extremely promising multiple technologies that will revolutionize food supply chain and the way we are selecting and buying food. Combination of ubiquitous cell-phone usage, ability to “communicate” with food packaging and transfer specific information regarding risks immediately at the any point on the globe is offering much higher standard of consumer safety.


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A QFD-based Decision Making Model for Computer-Aided Design Software Selection (pp. 49-58)

Kanika Prasad, Shankar Chakraborty
With the progress in technology and innovation in product development, the contribution of computer-aided design (CAD) software in the design and manufacture of parts/products is growing on significantly. Selection of an appropriate CAD software is not a trifling task as it involves analyzing the appositeness of the available software packages to the unique requirements of the organization. Existence of a large number of CAD software vendors, presence of discordance among different hardware and software systems, and dearth of technical knowledge and experience of the decision makers further complicate the selection procedure. Moreover, there are very few published research papers related to CAD software selection, and majority of them have either employed criteria weights computed utilizing subjective judgements of the end users or floundered to incorporate the voice of customers in the decision making process. Quality function deployment (QFD) is a well known technique for determining the relative importance of customers’ defined criteria for selection of any product or service. Therefore, this paper deals with design and development of a QFD-based decision making model in Visual BASIC 6.0 for selection of CAD software for manufacturing organizations. In order to demonstrate the applicability and potentiality of the developed model in the form of a software prototype, two illustrative examples are also provided.

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Management model for Successful Business Processes: the Case of Transition Countries (pp. 75-84)

Dušan Gošnik, Ivan Beker, Jana Suklan, Klemen Kavčič
The paper presents the results of empirical research about the effect of management activities such as planning, organising, leading and controlling on the success of business processes` improvement performance. We report the results of a survey conducted in various types of organisations in transition economies. Results show us important differences about how certain management activities affect the success of business processes` improvement implementation. The findings are useful for business practice in general and for managers in countries having a similar history, social system background and transition economy (e.g. Serbia, Slovenia, etc.) as they will understand better the key influences and the role of management activities in business processes improvement initiatives and implementation.

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Development of Synchronized Logistics Scenarios (pp. 85-94)

Diamantino Torres, Ana Raquel Xambre, Leonor Teixeira
Internal Logistics is the industrial department responsible, within an organization, for overseeing the information flow and for controlling the physical movements of materials in the warehouse, factory and between workstations. Currently the improvement of Internal Logistics processes is a key factor for delivering products to customers on time and at a competitive price. There is an increasing need for eliminating non-value added tasks and reducing operating costs. In this context, the synchronization of supply routes is very important in order to create standards and improve the use of resources. The purpose of this study is to describe the way Logistics Scenarios were developed in an industrial environment and also to show the importance of Internal Logistics.

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A conceptual Framework for Supply Chain Performance in Desalination Industry (pp. 95-101)

Hasan Balfaqih, Zulkifli Mohd Nopiah, Nizaroyani Saibani
Academic and corporate interest in sustainable supply chain management has risen considerably in recent years. In this article, a conceptual framework is proposed for measuring supply chain (SC) performance in water desalination industry. The research methodology is based on literature analysis concerning performance measurement and metrics to be applied for companies belonging to the water desalination industry. Since the study focuses on a specific industry, this could be considered as a limitation of the work as the results presented are not suitable to be generalized or extended to other contexts, although some extrapolations can be made. The paper provides the first conceptual performance measurement framework specific for the water desalination supply chain. The proposed framework could serve as a reference for the desalination industry to establish applicable performance appraisal indicators. It is believed that both researchers and practitioners would benefit from the framework developed.

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