International Journal of Advanced Production and Industrial Engineering (IJAPIE)Volume 4 Issue 1 


Analysis of Factors Causing Wastes in FMCG Using Lean Tools

Posted      :  05  Jan  2019 4:00 PM PST

File        :  IJAPIE-2019-01-131.pdf

Title: Analysis of Factors Causing Wastes in FMCG Using Lean Tools

Authors: Prabha Singh, Hemant Kumar, Jai Rohilla, Mohd. Tayyab, Ranganath. M Singari

Abstract: In this research paper, we have used lean tools that are applicable in various faster growing industries like FMCG, pharmaceuticals; hospitality, manufacturing etc are used. The tool that is given the priority over others in identifying the waste is Value stream mapping. Value stream mapping is a lean tool that is used to translate both information and flow of data through which those processes that are not adding any positive value in our study can be easily eliminated. This paper is an effective effort to find out the waste production during manufacturing of a perishable goods in discrete manufacturing system. Pareto chart has been used to categories the factors that are responsible for the 80 percent of waste. Here Ishikawa diagram has played a vital role for finding of their possible causes and effect. Other contemporary lean tools like Kanban, Kaizen, and FIFO are used for future state map processing. The result obtained through the future state value stream map states the changeover time of various processes, the cycle time near to the takt time, improvement in lead time and total cycle time of the manufacturing process.

Fabrication of surface nano composites of Al/B4C

at selected regions by Friction stir processing

Posted      :  05  Jan  2019 4:00 PM PST

File        :  IJAPIE-2019-01-132.pdf

Title: Fabrication of surface nano composites of Al/B4C at selected regions by Friction stir processing

Authors: N yuvaraj

Abstract: Friction stir Processing is an important surface modifying technique to produce composite surface layer. This paper evaluates the effect of tool rotational speed, traverse speed and shoulder diameter on hardness and wear behavior of Al-B4C surface nano composite produced by FSP method. A Five level rotatable central composite design is used to predict the optimum input process parameters to fabricate the sound composite layer. Response surface methodology (RSM) Technique was used for analyzing the relationship between responses and process parameters. The results revealed that the shoulder diameter has more influence on achieving maximum hardness and wear resistance. To study the wear mechanisms, the selected wear worn out samples are analyzed through SEM studies.             

Recycled polypropylene Tiles: - From waste to wealth         

Posted      :  05  Jan  2019 4:00 PM PST

File        :  IJAPIE-2019-01-133.pdf

Title: Recycled polypropylene Tiles: - From waste to wealth             

Authors: Aleena Naseer Siddiquee, Swati Varshney, Kanwarjeet Singh, Gaurav Arora

Abstract:  The main objective of this research work is the development of multipurpose light weight polypropylene (PP) tiles by injection moulding technique from recycled polypropylene. The base material selected for this product is polypropylene (PP) which is a common thermoplastic commodity plastic having melting point of 140°C. PP is a polymer material that offers good quality of elasticity, toughness, high mechanical strength with great aesthetic properties. Various compositions of recycled PP composite along with PP copolymer and acrylo butadiene styrene (ABS) have been formulated. These recycled composite materials have been processed by an injection molding machine to tiles and characterized for various properties to confirm its feasibility for commercial application. PP tiles having PP copolymer and ABS shows highest value to tensile strength i.e. 36.2 N/mm2. These tiles can be used as a better substitute in order to replace conventional tiles and can also resolves plastic land filling problem.       


Effect of Coconut Shell Particles, Coir Fiber and Husk Powder on Static & Dynamic Characteristic of Polymer Composites

Posted      :  05  Jan  2019 4:00 PM PST

File        :  IJAPIE-2019-01-134.pdf

Title: Effect of coconut shell particles, coir fiber and husk powder on static & dynamic characteristic of polymer composites

Authors: Jitendra Bhaskar, Satyendra Kumar

Abstract: Polymer composites based on agriculture waste or wood industry waste are becoming popular due to better utilization of natural wastes and availability of low cost material for structural and dynamic applications. Availability of coconut shell, coir fiber and husk powder have attracted the development and characterization of coconut reinforced wood plastic composites. Coconut shell particles have capability of introducing the behaviour of particulate composites and coir fibers have the capability of long fibers. But chopping of coir fiber into small sizes and crushing coconut shell into various sizes of particles is the source of managing the structural and dynamic properties. Husk powders consist of very fine and light particles. So, reinforcing husk powder into polymer matrix would enhance the properties of polymer. Various samples consisting of these coconut fruit waste were fabricated for structural and dynamic characterization. Effects of these elements were evaluated. Non-contact type vibration measuring system-Laser Doppler Vibrometer was used for better accuracy in results in dynamic characteristic.    

Deep Learning Framework for Steel Surface Defects Classification

Posted      :  05  Jan  2019 4:00 PM PST

File        :  IJAPIE-2019-01-135.pdf

Title: Deep Learning Framework for Steel Surface Defects Classification 

Authors: Karun Singla*, Gangesh Chawla, Ranganath M. Singari

Abstract: Deep learning has offered new avenues in the field of industrial management. Traditional methods of quality inspection such as Acceptance Sampling relies on a probabilistic measure derived from inspecting a sample of finished products. Evaluating a fixed number of products to derive the quality level for the complete batch is not a robust approach. Visual inspection solutions based on deep learning can be employed in the large manufacturing units to improve the quality inspection units for steel surface defect detection. This leads to optimization of the human capital due to reduction in manual intervention and turnaround time in the overall supply chain of the industry. Consequently, the sample size in the Acceptance sampling can be increased with minimal effort vis-à-vis an increase in the overall accuracy of the inspection. The learning curve of this work is supported by Convolutional Neural Network which has been used to extract feature representations from grayscale images to classify theinputs into six types of surface defects. The neural network architecture is compiled in Keras framework using Tensorflow backend with state of the art Adam RMSProp with Nesterov Momentum (NADAM) optimizer.  The proposed classification algorithm holds the potential to identify the dominant flaws in the manufacturing system responsible for leaking costs.

Developing a Framework of strategic positioning for the order penetration point/decoupling point

Posted      :  05  Jan  2019 4:00 PM PST

File        :  IJAPIE-2019-01-136.pdf

Title: Developing a Framework of strategic positioning for the order penetration point/decoupling point

Authors: Mukesh Kumar,  Dixit Garg,  Ashish Agarwal

Abstract:  Recent global challenges to appropriate implementation of manufacturing value chain, their specific product is linked to specific customer order. The order penetration point defined to value addition of manufacturing value chain. According to strategic perspective, different factors such as Market, product, and production factors are identified that affect the OPP positioning and the shifting of the OPP upstream or downstream in the manufacturing value chain. The major factors such as demand volume and volatility and their relationship between delivery lead time and production lead time and logistic service integration have identified. Comparison of manufacturing strategies must be generate between pre-OPP operations (i.e. upstream; forecast-driven) and post-OPP operations (i.e. downstream, customer order-driven), which has fundamental differences examine. And finally develop a framework to the order penetrations point or decoupling point which has affected in different factors and strategic decision categories to such as production planning and control. 

Effectiveness of Faculty Development Programmes, A Tool to Production Enahancement in Higher Education Sector

Posted      :  05  Jan  2019 4:00 PM PST

File        :  IJAPIE-2019-01-137.pdf 

Title: Effectiveness of Faculty Development Programmes, A Tool to Production Enahancement in Higher Education Sector

Authors: Suman Dhawan*

Abstract:  Faculty Development Programmes have become an integral part of Indian Higher Education system. Teachers are expected to undergo these programmes not only for professional development but also for their career advancement. Through the present research an effort has been made to explore their effectiveness as perceived by participants, in the fast changing knowledge world which is highly affected by the technological developments particularly information technology. Measures for improvement in these courses have also been explored on the basis of perception of participants.  


Magnetorheological Fluid Finishing of Soft Materials: A Critical Review

Posted      :  05  Jan  2019 4:00 PM PST

File        :  IJAPIE-2019-01-138.pdf

Title: Magnetorheological Fluid Finishing of Soft Materials: A Critical Review

Authors: Anand Sharma, M.S. Niranjan

Abstract: Magnetorheological Finishing (MRF) is one of the precision finishing processes and recently commercialized method for finishing of various materials like optical glasses, metals, non-metals etc. This method utilizes a suspension consisting of a fluid carrier which can be water or oil, both magnetic and non-magnetic particles and stabilizing agents. Rheological behavior of this mixture of magnetorheological (MR) fluid with abrasives changes under the influence of magnetic field which in turn regulates the finishing forces during finishing processes. Present study critically reviews the MRF process used for achieving nano-level finishing of soft materials and the advancements made in this process.       

A Review of Lean Manufacturing Tools in Automobile Industries

Posted      :  05  Jan  2019 4:00 PM PST

File        :  IJAPIE-2019-01-139.pdf

Title:  A Review of Lean Manufacturing Tools in Automobile Industries

Authors:  T. Prakash, M. Sindhu kavi, C. Arun

Abstract: Lean manufacturing is a concept which is developed for the purpose of reducing the waste generated with increase in the utilization of resources. The term lean was formulated and designed in order to respond to the fluctuations and to challenge business environmental competition. In today’s scenario, business environments are rapidly changing. Thus, forcing organizations to face the challenges along with the complexities. Many of the organizations, such as manufacturing or service oriented related to survive are dependent ultimately to the systematic and continuous respond for the changes which are enhanced with the product values. In order to achieve this perfection, value adding process plays a major role. Thus, for many type of organizations, implementation of a lean manufacturing system becomes a core competency in order to sustain. From analyzing the studies based on lean management major part of study describes only a single part of the lean element, only very few studies focus on a greater number of aspects of lean element. In order for successful lean manufacturing implementation, the organization have to focus on many aspects such as Cellular Manufacturing (CM), Line Balancing, 5S Techniques, Value Stream Mapping (VSM), Inventory Control, U-Line system, Kanban, Pull system, Just-In-Time (JIT), Single Minute Exchange of Dies (SMED), Production levelling, Bottleneck effect etc.… From this paper, we have analyzed and developed lean route map which can able to implement lean manufacturing system in organizations.        


Study the effect of process parameters on Electric Discharge Machining: Literature Review 

Posted      :  05  Jan  2019 4:00 PM PST

File        :  IJAPIE-2019-01-140.pdf

Title:  Study the effect of process parameters on Electric Discharge Machining: Literature Review

Authors: Priya*, Sandeep Yadav, Deepak, Sarthak Sharma, Lalit Vashishth 

Abstract: Electrical discharge machining (EDM) is one of the earliest non-conventional method of manufacturing processes. This process based on thermoelectric energy between work piece and electrodeand they must have electrical conductivity to generate the spark. A spark generated between work piece and electrode, and removes the material from work piece through melting and vaporizing. EDM produced various types of products such as dies and moulds. EDM is used to manufacture the parts of aerospace, automotive industry and surgical components. The effect of the machining parameters on surface roughness, metal removal rateand tool wear rate are studied.