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11. Sri Indrawati, Tio Sampurno, Yogi Thanjaya, and Rahmadani R. Octaviani . (2014). Design of Confectionery Slicer for SME’s Product Quality Improvement. International Journal of Materials, Mechanics and Manufacturing. Unduh

Managing product quality is crucial for small and medium enterprises. Customer satisfaction and loyalty will be maintained by quality products. In order to improve the quality of product, this research is conducted to develop a confectionery slicer for a small and medium enterprise using quality function deployment. The first stage in this research is doing a customer survey to determine the customer needs and their priorities in processing the product. The customers for this research are SME's SB workers. Then a data verification using statistics is done and subsequently used to develop confectionery slicer. The prioritized technical specifications of the product based on design deployment matrix formulation are size of the blade, blade number, level of mechanization, the distance between blades, the quality test and blade materials. The research proves that the developed concept of confectionery slicer is able to improve the quality and productivity of SME’s products..

12. S. M. Ali and K. Nakade. (2014). A Stochastic Programming Approach to Supply Chain Disruptions Planning and Management. International Journal of Materials, Mechanics and Manufacturing. Unduh

In this paper, we propose a stochastic programming approach to manage supply chain disruptions of an enterprise with an emphasis on demand and disruptions uncertainty. The supply chain considered here is multi-product, multi-agent in nature. However, the model considers purchasing cost, inventory cost and emergency ordering cost. Decisions such as ordering quantities in pre-disruptions and post-disruptions situation are taken into consideration. On the other hand, quality and delivery performance requirements are also included in the proposed analytical framework. We use Monte Carlo sampling approach for the purpose of sampling for a given probability distribution of stochastic parameters. In addition, we consider a disruptions planning case study and apply Benders decomposition (BD)/L-shaped algorithm to solve the model. The model is coded on GAMS 24.1.3 and run by CPLEX (12.5.1.0) and DECIS solver. We minimize total cost that includes first stage cost and second stage disruptions scenario cost. Several test instances with different disruptions scenarios are considered. We then compare the total costs under several disruptions scenarios. We hope that the model could be used as an effective tool to analyze and decide on supply chain disruptions planning and management of an enterprise thus it could contribute in continuity of manufacturing/business operations and therefore help in building a resilient supply chain..

13. Chaminda S. Bandara, Sudath C. Siriwardane, Udaya I. Dissanayake, and Ranjith Dissanayake. (2014). Fatigue Strength Prediction Formulae for Steels and Alloys in the Gigacycle Regime. International Journal of Materials, Mechanics and Manufacturing. Unduh

Most existing fatigue strength prediction models contain parameters related to the critical size of non metallic inclusions or defects. Finding the critical size of the inclusion or defect which causes the fatigue failure is not easy. Further, obtaining experimental stress life curves for gigacycles is expensive and time consuming. Therefore it is important to discover simple but reliable fatigue strength prediction formulae that use easily obtainable material parameters while being independent from the size of inclusions or defects. This paper proposes a new formula for predicting fatigue strengths of steels in the gigacycle regime using the ultimate tensile strength and Vickers hardness as material parameters while introducing a reliable substitute to the critical inclusion size. The formula is verified using published experimental results for forty five steels. Another formula for predicting fatigue strengths of steels and alloys is proposed using more than hundred experimental fatigue strength values at various numbers of failure cycles in the gigacycle regime..

14. W. Grzechca. (2014). Complex Production Structures in Assembly Processes. International Journal of Materials, Mechanics and Manufacturing. Unduh

Product modularity has become an important issue. It allows producing different products through combination of standard components. One of the characteristics of modular products is that they share the same assembly structure for many assembly operations. The special structure of modular products provides challenges and opportunities for operational design of assembly lines. In this paper, an approach for design of assembly lines for modular products is proposed. This approach divides the assembly line into two parts: a subassembly line for basic assembly operations and a production structure for variant assembly operations. The design of the subassembly line for basic operations can be viewed as a single product assembly line balancing problem and be solved by existing line balancing methods. The subassembly line for the variant operations is designed as a job shop structure and is sequenced by priority heuristic methods. A final result of tasks assigning to the complex production structure is given and a quality of final solutions is discussed..

15. Chaminda S. Bandara, Sudath C. Siriwardane, Udaya I. Dissanayake, and Ranjith Dissanayake. (2014). Fatigue Strength Prediction Formulae for Steels and Alloys in the Gigacycle Regime. International Journal of Materials, Mechanics and Manufacturing. Unduh

Most existing fatigue strength prediction models contain parameters related to the critical size of non metallic inclusions or defects. Finding the critical size of the inclusion or defect which causes the fatigue failure is not easy. Further, obtaining experimental stress life curves for gigacycles is expensive and time consuming. Therefore it is important to discover simple but reliable fatigue strength prediction formulae that use easily obtainable material parameters while being independent from the size of inclusions or defects. This paper proposes a new formula for predicting fatigue strengths of steels in the gigacycle regime using the ultimate tensile strength and Vickers hardness as material parameters while introducing a reliable substitute to the critical inclusion size. The formula is verified using published experimental results for forty five steels. Another formula for predicting fatigue strengths of steels and alloys is proposed using more than hundred experimental fatigue strength values at various numbers of failure cycles in the gigacycle regime..

16. Zohreh Molamohamadi and Napsiah Ismail. (2014). Developing a New Scheme for Sustainable Manufacturing. International Journal of Materials, Mechanics and Manufacturing. Unduh

Due to the increasing expenses of energy, industrial contamination, deficiencies of strategic raw materials and natural resources, and ecological disasters, sustainability has become one of the most prominent areas in the recent researches. Having a profound effect on all of the organizational aspects of human life, sustainability related issues maintain a strong mutual relationship with manufacturing, as the main aspect of the modern lifestyle. Having considered the previous suggested frameworks for sustainable manufacturing, this paper proposes a new structure where not only do the three major pillars of sustainability have interlink connections, but also two more enablers are introduced to be added to the previous ones to develop the existing frameworks. Moreover, a holistic review of sustainability, its definitions, background and current issues are represented here to offer appropriate options to the manufacturing systems for moving faster and safer toward a sustainable future..

17. Mohammad Rizal Firmansyah and Yousef Amer. (2014). A Review of Collaborative Manufacturing Network Models. International Journal of Materials, Mechanics and Manufacturing. Unduh

Tough competition in the current global economies has forced manufacturing enterprises, especially small and medium manufacturing enterprises (SMMEs) to collaborate with other companies to survive. They strive to manage their products to achieve a high level of customer satisfaction at a competitive price in a timely manner with the best quality. Collaborative models covering part of the whole production process have been developed providing advantages to the participating companies. Integration of these current collaborative models into a holistic collaborative manufacturing model could provide operational cost savings as well as significantly increasing competitive advantage. However, there is no current review which provides a comprehensive picture of such integration. Therefore, this study aims to provide a thorough literature review of the current collaborative models, their advantages and their collaborative components which are used to support the collaboration process. Four areas of collaborative models namely; collaborative forecasting, collaborative design and product development, collaborative manufacturing and collaborative distribution are discussed. The majority of previous works tend to overlook combinations of collaborative models in the concerned aspects. Hence, future research opportunities to bring those areas more closely linked to each other is proposed so that manufacturing enterprises can take maximum benefit from all of the current models of collaborative manufacturing..

18. Hye-Ri Gye, Byeong-Uk Song, Yong-Seok Lim, Yong-Wook Shin, Sung-Hui Jang, and Tae-Il Seo. (2014). Prediction of Cutting Force and Tool Deflection in Micro Flat End Milling. International Journal of Materials, Mechanics and Manufacturing. Unduh

Tough competition in the current global economies has forced manufacturing enterprises, especially small and medium manufacturing enterprises (SMMEs) to collaborate with other companies to survive. They strive to manage their products to achieve a high level of customer satisfaction at a competitive price in a timely manner with the best quality. Collaborative models covering part of the whole production process have been developed providing advantages to the participating companies. Integration of these current collaborative models into a holistic collaborative manufacturing model could provide operational cost savings as well as significantly increasing competitive advantage. However, there is no current review which provides a comprehensive picture of such integration. Therefore, this study aims to provide a thorough literature review of the current collaborative models, their advantages and their collaborative components which are used to support the collaboration process. Four areas of collaborative models namely; collaborative forecasting, collaborative design and product development, collaborative manufacturing and collaborative distribution are discussed. The majority of previous works tend to overlook combinations of collaborative models in the concerned aspects. Hence, future research opportunities to bring those areas more closely linked to each other is proposed so that manufacturing enterprises can take maximum benefit from all of the current models of collaborative manufacturing..

19. Gusti Fauza, Yousef Amer, and Sang-Heon Lee. (2014). Model of an Integrated Procurement-Production System for Food Products Incorporating Quality Loss during Storage Time. International Journal of Materials, Mechanics and Manufacturing. Unduh

Research on procurement-production systems for deteriorating items has been done. The majority of studies assume that the perishable characteristics affect only the quantity of inventoried items. For food products, however, their quantity remains constant during their shelf life period, but the quality deteriorates over time. This paper proposes a new procurement-production model incorporating this situation. The quality change behavior of food products is approached differently depending on their forms either as raw materials or finished goods. As raw materials, the kinetic model is used to represent the quality degradation during storage time, while as finished goods the shelf-life dependent pricing is utilized to describe the value loss due to the quality perception of customers. A mathematical model representing the integrated procurement-production of raw materials and finished goods at a manufacturer is established in this research. The objective is to maximize the total profit per unit time of the system by controlling a number of variables, namely the production cycle (T), the number of raw materials’ procurement over one production cycle (m) and the number of finished goods delivery over one production cycle (n)..

20. U. Dombrowski, K. Schmidtchen, and D. Ebentreich. (2014). Balanced Key Performance Indicators in Product Development. International Journal of Materials, Mechanics and Manufacturing. Unduh

In today’s business environment many enterprises react to changing conditions by the implementation of lean production systems. Lean offers an approach to eliminate waste and increase customer value in all processes. In the past, the focus of lean has been on the production and is now enhanced to other processes in the enterprise, e.g. product development or sales & services. In particular research approaches, so called lean development, has been introduced to improve efficiency, effectiveness and the skills of staff and organization. Enterprises like Toyota, who work with lean principles in development, can develop products in significant shorter time-to-markets with higher quality and lower costs. Enterprises that applied lean to product development process are facing the challenge of defining key performance indicators to ensure the sustainability of the continuous improvement process. Therefore, the article gives an advice what requirements the performance indicators have to meet. Based on an analysis of 11 performance indicator systems the article shows that yet not all targets are covered by performance indicators. Thus the article shows an approach to develop an enterprise specific KPI-Set..