Applied Mechanics and Materials Vols. 592-594

Abstract: In today’s era automation in the production is a key parameter of interest. Rise in the productivity is the main aim of every industry. To sustain in the global era many companies are switching their assembly line from manual to automatic. Consequently, assembly systems should be more flexible and efficient. Even which process needs the automation should be justified to make it automatic. The amount of automation and payback period plays an important role. On that basis authors identify the back plug process needs to be automate. So an attempt is made to design an Automatic Back Plug Press Fitting Process. The paper describes the design, modeling and manufacturing aspects of this process. In automation decisions, it is necessary to consider human resources, as well as mechanical technology and information flow. The paper also includes rise in the productivity along with payback period.

Abstract: The competitive environment of global markets has forced many manufacturers to select the most appropriate logistics for the optimisation of total logistics costs, time and inventory. Cost and time are the two important factors in the competitive market that are often not addressed comprehensively by the researchers. In this study, the genetic algorithms (GAs) and the fuzzy logic techniques are used for optimising a novel mathematical model of the logistics network. The objective of the proposed model is to minimise the costs of production, distribution, holding and backorder. In addition to the optimization of logistics costs, the model can also determine the economic production quantity (EPQ), and with help of the GAs and the Fuzzy logic solver with probability parameters and various dimensions for validation of the studied model in real-life situations, and we compared the outputs to demonstrate the performance of the two optimization techniques . Using Genetic Algorithm and fuzzy logic, the optimized value of the logistics cost, and volume of the logistics network were obtained.

Abstract: In today’s customer oriented global market, Customer Delight emerges as an urging need of any industry to excel in the competition. This study finds Product Variety, Innovative Product and Quick Response to the customer demand, as the essential ingredient of Customer Delight. ‘Just In Time’ which means instantaneous production of perfect quality goods with minimum wastage; seems to encompass all these issues. But the main concern is the implementation of JIT elements to achieve Customer Delight. This paper suggests two JIT Implementation models considering the recent issues of Supply Chain. First a three stage model is developed which correlates Customer Delight with various elements of JIT. The second model is a perpetual model which portraits how to implement these elements in a more structured manner. Collectively the proposed models embrace comprehensive picture of JIT Implementation.

Abstract: In India, the manufacturing sector is striving hard to generate revenues and this is ongoing for the last one decade. This aspect of generating funds is dependent on two major factors i.e. reduction in product manufacturing cost, and enhancing the product quality to satisfy the customer needs. The production cost can be reduced by improving the design and through incorporating the newest version of materials. The improved version of materials will positively add value to the product quality and thereby attract the customers. On the other hand, the product quality can increased through application of systematic and statistical data analysis tool especially Lean, Six Sigma, SCM, JIT, TPM etc. in the manufacturing sector. This may further results in high labour efficiency. The paper comprises of literature review of published paper in various reputed journals on the concept of Lean manufacturing. "Lean" is a production process which encompasses the expenditure of all the resources to accomplish a goal and creating of value to end customer through eliminate the wastes. The paper reveals that the goal of Lean is creation and maintenance of a production system, which runs repetitively, day after day, week after week in a manner identical to the precious time period. The continuous and smooth flow, earlier delivery, reduced cost and better design are the outcomes of the systems.

Abstract: Green supply chain management (GSCM) is a powerful tool to differentiate one company from the others and it can greatly influence the success of any plan. With increased awareness about corporate responsibility and the necessary to meet the terms of the environmental policy, green supply chain management (GSCM) is becoming increasingly important for Indian manufacturers. This study aims to explore different factors whose consideration in supply chains lead to reduced environmental load. Adoption of those factors reduce environmental footprint and improve green credentials. The questionnaire used to obtain opinion of managers at different level from industries. The best factor for environmental friendly supply chain determined using Decision making trial and evaluation laboratory (DEMATEL) method. DEMATEL is a multi criteria decision making tool which has ability to convert qualitative data into quantitative analysis. DEMATEL method used to study the influence of the most important factor and to find out the ranking of critical factors in supply chain of industry. The result of paper gives best factor and adoption of same influences green performance of supply chain. Key finding from this study tells green manufacturing and green logistics has highest influence in green supply chain practices.

Abstract: Lean manufacturing is a management philosophy derived from Toyota Production System (TPS) which aims to increase the overall values of the product or service provided to the customer through elimination of non-value added activities. In the era of globalisation, to remain competitive in the global market, many medium and small sized Indian industries adopt lean manufacturing. This paper focuses on implementation of lean manufacturing in Indian MSMEs. To examine the implementation, attributes which influence lean manufacturing are obtained and industries’ performances on these criteria are rated. In this paper, the methodology selected from many of the multi criteria models is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). In the actual real world situation, because of the unreliable nature of the information gathered, the attributes are often not absolute and are imprecise. These data can be considered as fuzzy and the aim of this paper is to adopt TOPSIS decision making method to problems with fuzzy data. The rating and weights of each data are expressed as triangular fuzzy numbers. These attributes are then normalized and the TOPSIS methodology is carried out to determine the effect of implementing lean manufacturing technique in an industry. The best industry is identified by fuzzy TOPSIS on the basis of performance towards the considered attributes is consistent with results identified by TOPSIS.

Abstract: Composite material has long life, higher strength, lower weight and less maintenance cost. These properties have led to marine applications, significantly reduced energy consumption and impact to the environment. Mechanized boat deckhouses are constructed with glass fiber and polyester matrix. But the glass fiber production and utilization is hazardous. The fish net is generally made from nylon fiber and woven in a grid-like structure, which is tough possess high tensile strength, elasticity, resistant to abrasion, impact and chemicals. Fish net gets damaged and large amount of them are wasted every year. The present work focuses on the reuse of this nylon fiber, as reinforcing material, as substitute for glass fiber partially, in polyester matrix. Tensile, impact, flexural and water absorption properties of these specimens are studied according to ASTM standards. The results suggest the possibility of utilizing waste fish net in composite building for boat deckhouse.

Abstract: Eco Design integrates environmental thinking into product design and packaging including in its production, consumption and disposal of the product life cycle in the supply chain. In today’s scenario eco design is very important for saving our environment. This papers aims to investigate the technology, organization and environment factors of the eco design that influence the adoption of Green Supply Chain Management using Fuzzy Quality Function Deployment (FQFD). Quality function deployment (QFD) is a planning and problem-solving methodology used to translate customer requirements (CRs) into technical requirements (TRs) in the Course of new product development (NPD). In the proposed model, fifteen fundamental requirements of customers are identified and eight main factors of eco design are derived to satisfy the overall requirements as detailed. The importance of the customer requirements and relationship strength were identified as linguistic data. We have collected data for the criteria from the decision makers of the automotive industry. Under different situation the values of subjective data are often inaccurate so we have applied Fuzzy Quantitative Approach to overcome this deficiency of high subjectivity and low reliability. This study shows the fuzzy logic using Quality Function Deployment for easy decision making. So this proposed method shows the final ranking of the important eco design factors that influences the adoption of Green Supply Chain Management in the automotive industry. The final result of paper gives Stakeholder Cooperation is the most important factors of eco design.

Abstract: Green manufacturing is a sustainable approach, designed to use energy, water and other resources more efficiently thereby reducing the overall impact on the environment. Improved quality of life, better health conditions and diminished costs are other benefits. This paper focuses mainly on the foundry industry, as being very energy intensive, it offers immense scope for the application of green concepts. A case study conducted in a foundry in Tamil Nadu, gives an over view as to how green manufacturing can be made possible in the foundry industry. Each process involved in the foundry was analyzed using green concepts and alternatives and suggestions were made. Additional green strategies have also been discussed.

Abstract: India is the second largest 2W market in the world in terms of sales volumes after China. Motorcycles types that are marketed using sports tag are found to be anchored on performance attributes characterized by visual appeal, higher speeds, heady acceleration and superior ride, handling and braking. The chronograph of the sports segment in the Indian market is plotted. A goal defined design process is developed to produce creative ideas for aesthetic attributes-modern, youthful, aerodynamic, and aggressive. The optimal solution satisfying the aesthetic goal is determined using an operation decision making model based upon weighted generalized mean method. A motorcycle is generally straddled by the rider with manual transmission and can be considered as a constrained workstation. Some ergonomic considerations to fit users of different sizes on the same workstation should be taken into account when designing. A two-dimensional anthropometric data collection approach is followed for riders in India. The obtained anthropometric data concerning riding postures are used for posture analysis using digital human model in CAD software. The mutual trade-off between sporty riding style of the rider and comfort angles have been arrived to set up the final posture of the rider. The detailing of the appearance considering the aesthetic attributes and ergonomics are done. The developed design is aimed at improving appearance and ergonomic performance.