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Industrial Engineering and Productional Research - Volume:26 Issue: 1, Mar 2015

International Journal of Industrial Engineering and Productional Research
Volume:26 Issue: 1, Mar 2015

  • تاریخ انتشار: 1394/05/01
  • تعداد عناوین: 6
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  • Sachin Mahakalkar *, Dr Vivek Tatwawadi, Jayant Giri, Dr Jayant Modak Pages 1-11
    Response surface methodology (RSM) is a statistical method useful in the modeling and analysis of problems in which the response variable receives the influence of several independent variables, in order to determine which are the conditions under which should operate these variables to optimize a corrugated box production process. The purpose of this research is to create response surface models through regression on experimental data which has been reduced using DA to obtain optimal processing conditions. Studies carried out for corrugated sheet box manufacturing industries having man machine system revealed the contribution of many independent parameters on cycle time. The independent parameters include anthropometric data of workers, personal data, machine specification, workplace parameters, product specification, environmental conditions and mechanical properties of corrugated sheet. Their effect on response parameter cycle time is totally unknown. The developed model was simulated and optimized with the aid of MATLAB R2011a and the computed value for cycle time is obtained and compared with experimental value. The results obtained showed that the correlation R, adjusted R2 and RMS error were valid.
    Keywords: Response Surface Methodology (RSM), Dimensional Analysis (DA), Independent Variables, Response Variable, Correlations, Root Mean Square Error (RMS), MATLAB
  • Virender Narula *, Dr. Sandeep Grover Pages 13-26
    There has been considerable number of papers published related to Six Sigma applications in manufacturing and service organizations. However, very few studies are done on reviewing the literature of Six Sigma in all the areas including manufacturing, construction, education, financial service, BPOs and healthcare etc. Considering the contribution of Six Sigma in recent time, a more comprehensive review is presented in this paper. The authors have reviewed Six Sigma literature in the way that would help research academicians and practitioners to take a closer look at the growth, development, and applications of this technique. The authors have reviewed various journal papers and suggested different schemes of classification. In addition, certain gap areas are identified that would help researchers in further research.
    Keywords: Six Sigma, literature, classification, research methodology, research contents, manufacturing, services, quality initiatives
  • Mir Mehdi Seyyed Esfahani * Pages 27-38
    In today''s competitive market, quality has an important role in manufacturing system. The manufacturers attempt to maintain their production system in a proper condition to produce high quality products. One of the key factors to achieve this goal is maintenance policy. Most studies on maintenance focused on machines and less attention has been paid to human resources as the most important factor in manufacturing system. In this paper we propose a mixed integer nonlinear model to schedule the maintenance of machines and rest of human resources based on reliability factor. This model aims to minimize the cost of machines and human resources idleness and products quality cost. The performance of proposed model was examined by two instances and the obtained results indicated this model can provide efficient and effectiveness work and rest schedule for machines and human resources in manufacturing systems.
    Keywords: Reliability, Scheduling, Human Resource, Optimization
  • Hossein Shams Shemirani *, Faride Bahrami, Mohammad Modarres Pages 39-44
    In this paper we develop a new approach for land leveling in order to improve the topology of a large area for irrigation or civil projects. The objective in proposed model is to minimize the total volume of cutting so that technical requirements of land leveling such as suitable slope and standard ratio of cutting to filling and maximum penstock point’s height are considered. We develop a warped surface pattern and apply a linear programming model to determine the land optimal topology. Our approach is more practical to apply, in comparison with the existing “fit to plane” methods which apply bivariate regression statistical techniques because in these methods finding optimal solution, considering technical requirements, needs trial and error. Our proposed method does not need any trial and error, furthermore its results is global optimum. Also the warped surface pattern is adoptable to plane or curved patterns, and it is applicable for any land with any magnitude.
    Keywords: Land leveling, Land grading, Land forming, Earthwork optimization, Linear programming, Plane shape, Curved surface, warped surface
  • Dr. Yahia Zare Mehrjerdi * Pages 45-61
    Purpose of this paper: This paper presents an analysis toward understanding the business value components that a health care organization can drive by adopting RFID technology into its system. This researcher proposes a framework for evaluating the business value of RFID technology. To do so, emphasis is put on delivering business value through refining business processes and expanding the business model. Author illustrates the concepts drawing on the experience of nine case studies already presented on the health care topics and service industries. Thereafter, a framework, as a set of propositions based on relevant literature, case studies from the field, and author''s intuition, is formulated. The proposed propositions need to be validated through empirical evidence. To fully understand this topic some applications of radio frequency identification in health care management and other industries are briefly discussed and nine cases from health care industry are studied. Design/methodology/approach: Identifies key elements of radio frequency identification through the review of healthcare management literature and case studies. For this purpose, nine cases are reviewed from the health care industry and then key features of those cases are employed to determine four proposals for further studies.
    Findings
    To make healthcare management systems functional and successfully operational we can use radio frequency identification solutions to reduce operating costs through decreasing the labor costs, including automation, improving tracking and tracing, and preventing the lost of materials under any circumstances. Practical implications (if applicable): What is original/value of paper: The emphasis is put on delivering business value through refining business processes and expanding the business model. A framework, as a set of propositions based on relevant literature, case studies from the field, and author''s intuition is formulated and presented for further studies using true case studies.
    Keywords: RFID, based systems, business values, healthcare management, case studies
  • Aliakbar Hasani, Seyed Hessameddin Zegordi * Pages 63-84
    In this study, an optimization model is proposed to design a Global Supply Chain (GSC) for a medical device manufacturer under disruption in the presence of pre-existing competitors and price inelasticity of demand. Therefore, static competition between the distributors’ facilities to more efficiently gain a further share in market of Economic Cooperation Organization trade agreement (ECOTA) is considered. This competition condition is affected by disruption occurrence. The aim of the proposed model is to maximize the expected net after-tax profit of GSC under disruption and normal situation at the same time. To effectively deal with disruption, some practical strategies are adopted in the design of GSC network. The uncertainty of the business environment is modeled using the robust optimization technique based on the concept of uncertainty budget. To tackle the proposed Mixed-Integer Nonlinear Programming (MINLP) model, a hybrid Taguchi-based Memetic Algorithm (MA) with an adaptive population size is developed that incorporates a customized Adaptive Large Neighborhood Search (ALNS) as its local search heuristic. A fitness landscape analysis is used to improve the systematic procedure of neighborhood selection in the proposed ALNS. A numerical example and computational results illustrate the efficiency of the proposed model and algorithm in dealing with global disruptions under uncertainty and competition pressure.
    Keywords: Global supply chain network design, Competition, Disruptions, Robust optimization, Memetic algorithm, Adaptive large neighborhood search, landscape analysis