Journal of production research & management (vol4, issue2) by STM Journals Publication

Journal of Production Research & Management (JoPRM)

May - August 2014

ISSN: 2347 â&#x20AC;&#x201C;9930

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Journal of Production Research & Management (ISSN: 2347-9930) Focus and Scope Covers ? Fundamental Behavior of Production resources ? Production systems ? Operations ? Supply Chain Management ? Manufacturing Strategy ? Policy formulation and evaluation in production research

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Group Managing Editor Dr. Archana Mehrotra Director CELNET, Delhi, India

Internal Members Puneet Pandeya Manager Associate Editors Gargi Asha Jha Nupur Anand

Monika Malhotra Assistant Manager Assistant Editors Priyanka Aswal Aditya Sanyal Anupama Garg Sona Chahal Himani Pandey

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Dr. Bimlesh Lochab Industrial Tribology Machine Dynamics & Maintenance Engineering Centre (ITMMEC) Indian Institute of Technology Delhi, India

Dr. Rajiv Prakash School of Materials Science and Technology, Institute of Technology, Banaras Hindu University, Varanasi, India

Prof. S. Ramaprabhu Alternative Energy Technology Laboratory, Department of Physics, Indian Institute of Technology, Chennai, India

Dr. Rakesh Kumar Assistant Professor, Department of Applied Chemistry, BIT Mesra, Patna, India

STM Journal (s) Advisory Board

Dr. Baldev Raj Chairman, National Institute of Technology Puducherry, India. Former Director, Indira Gandhi Centre for Atomic Research, India.

Prof. Bankim Chandra Ray Professor and Head, Department of Metallurgical and Materials Engineering National Institute of Technology, Rourkela, India.

Dr. Hardev Singh Virk Professor Emeritus, Eternal University, Baru Sahib, India.

Dr. Baskar Kaliyamoorthy Associate Professor, Department of Civil Engineering National Institute of Technology Trichy, India.

Prof. D. N. Rao Professor, Department of Biochemistry, AIIMS, New Delhi, India.

Prof. Jugal Kishore Professor, Department of Community Medicine, Maulana Azad Medical College, New Delhi, India.

Dr. Ashish Runthala

Dr. Pankaj Poddar

Lecturer, Biological Sciences Group, Birla Institute of Technology & Science, Pilani Rajasthan, India.

Scientist, Physical & Materials Chemistry Division, National Chemical Laboratory, Pune, India.

Dr. Nandini Chatterjee Singh Associate Professor, National Brain Research Centre, Manesar, India.

STM Journal (s) Advisory Board & Editorial Board

Dr. Priyavrat Thareja

Dr. Rakesh Kumar

Head, Materials and Metallurgical Engineering Department, PEC University of Technology, Chandigarh, India.

Assistant Professor, Department of Applied Chemistry, BIT Mesra, Patna, India.

Dr. Shankargouda Patil

Dr. Shrikant Balkisan Dhoot

Asst. Prof., Department of Oral Pathology, KLE Society's Institute of Dental Sciences, Bangalore, India.

Head Research & Development, Nurture Earth R&D Pvt Ltd MIT Campus, Beed bypass road, Aurangabad, India.

Prof. Subash Chandra Mishra

Prof. Sundara Ramaprabhu

Professor, Metallurgical & Materials Engineering Department, NIT, Rourkela, India.

Professor, Department of Physics Indian Institute of Technology Madras, India.

Prof. Yuwaraj Marotrao Ghugal

Dr. Kho Mei Ye

Professor and Head Department, Govt. College of Engineering Station Road, Osmanpura, Aurangabad, India.

Department of Quantity Surveying, Faculty of Built Environment Building, University of Malaya, Malaysia.

Dr. R R K Sharma

Dr. L P Singh Assistant Professor Department of Industrial & Production Engineering, Dr B R Ambedkar National Institute of Technology Jalandhar, Punjab, India.

Department of Industrial and Management Eng IIT Kanpur, India.

Editorial Board

Prof. R Raghavendra kumar Sharma Department of Industrial and Management Engineering, IIT, Kanpur, India.

Dr. Bijaya Krushna Mangaraj Professor, Production & Operations Management Area XLRI School of Business & Human Resources Jamshedpur, Jharkhand, India

Dr. K. C. James Head, Department of Statistics Cochin University of Science and Technology, Kerala, India.

Dr. Manoj P. K. Cochin University of Science and Technology (CUSAT), Kerala, India

Dr. Vinay Sharma Professor Department of Production Engineering Birla Institute of Technology, Ranchi India.

Dr. Pradeep Kumar Professor, Department of Mechanical & Industrial Engineering Indian Institute of Technology Roorkee India.

Dr. Vijay Pandey Associate Professor Department of Production Engineering Birla Institute of Technology Jharkhand, India.

Dr. Jitesh Thakkar Department of Industrial Engineering and Management, IIT Kharagpur West Bengal, India.

Dr. Sanjay Kumar Jha Associate Professor Department of Production Engineering BIT Mesra, Ranchi India.

Dr. P.Vamsi Krishna Assistant Professor Department of Mechanical Engineering NIT Warangal Warangal, India.

Dr. Atul Bansal C.Z. Patel College of Business and ManagementSICART Building, Vallabh Vidyanagar Gujarat, India

Trisht Bandyopadhyay Faculty of Production & Operations Management,XLRI, Jamshedpur, Jharkhand India

Director's Desk

STM JOURNALS

I take the privilege to present the hard copy compilation for the [Volume 4 Issue (2)] of Journal of Production Research & Management (JoPRM). The intension of JoPRM is to create an atmosphere that stimulates creativeness, research and growth in the area of Production Research & Management. The development and growth of the mankind is the consequence of brilliant Research done by eminent Scientists and Engineers in every field. JoPRM provides an outlet for Research findings and reviews in areas of Production Research & Management found to be relevant for National and International recent developments & research initiatives. The aim and scope of the Journal is to provide an academic medium and an important reference for the advancement and dissemination of Research results that support high level learning, teaching and research in the domain of Production Research & Management. Finally, I express my sincere gratitude to the Editorial board members for their continuous support to bring this issue to its present form. Undoubtedly we could not release this issue without the amazing efforts of our Editors/Reviewers and Advisory board members. I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal.

Dr. Archana Mehrotra Director STM Journals

Journal of Production Research & Management

Contents

1. Dynamic Cellular Manufacturing System: A Review P. Narendra Mohan, Ch. Srinivasa Rao

2. Dynamic Cellular Manufacturing System Design for Automated Factories P. Narendra Mohan, Ch. Srinivasa Rao

3. Reducing the Bullwhip Effect in a Supply Chain Using Artificial Intelligence Technique Om Prakash, Vijay Pandey

4. Development of Overall Process Effectiveness for Continuous Flow Line in a Semiautomated Manufacturing System Lau Joo Hao, Low Shye Nee, Shahrul Kamaruddin

Journal of Production Research & Management ISSN: 2249-4766 (online), ISSN: 2347-9930 (print) Volume 4, Issue 2 www.stmjournals.com

Dynamic Cellular Manufacturing System: A Review P. Narendra Mohan1*, Ch. Srinivasa Rao2 1

Dept.of Mechanical Engineering, Acharya Nagarjuna University, A.P, India 2 Dept. of Mechanical Engineering, Andhra University, A.P, India

Abstract Cell-formation procedures ignore any changes in demand over time caused by product redesign and uncertainties due to volume variation, part mix variation and resource unreliability till today. Nowadays for business environment product life cycles are short, demand volumes and product mix can vary frequently, in this context Cellular Manufacturing System (CMS) configuration for a period might not be an optimal or even not to be feasible for the next periods or next process. Thus now for economical production, the manufacturing cell design will sustain with only Dynamic Cellular Manufacturing System (DCMS). DCMS model gives the best multiple routings, reconfiguration and production planning, etc., for various time periods and also DCMS leads the best optimal time as well as best optimal cost to the material movements (or) transfer in assembly (or) production lines, which provides the flexibility to the cellular manufacturing system to respond for any variations in part mix demand or volume variation.

Keywords: Dynamic Cellular Manufacturing System (DCMS), Group Technology, Product demand, Production planning, Uncertainty, Multiperiod, Mathematical programming, Scheduling, Reconfiguration

Journal of Production Research & Management ISSN: 2249-4766 (online), ISSN: 2347-9930 (print) Volume 4, Issue 2 www.stmjournals.com

Dynamic Cellular Manufacturing System Design for Automated Factories P. Narendra Mohan1*, Ch. Srinivasa Rao2 1

Dept. of Mechanical Engineering, Acharya Nagarjuna University, A.P, India 2 Dept. of Mechanical Engineering, Andhra University, A.P, India

Abstract In this paper, an integrated mathematical model of the multi-period cell formation in a dynamic cellular manufacturing system (DCMS) is proposed with the aim of getting the optimal cost f o r i t . In DCMS, the formed cells in the current period may not be optimal for the next period, so the reconfiguration of the cell is needed, thus we have a tendency to use DCMS. The paper examines the influence of the trade-off between assorted manufacturing costs on the reconfiguration of the cells in Cellular Manufacturing System (CMS) under a lively environment and the proposed model is implemented to a wide range of numerical examples.

Keywords: Dynamic cellular manufacturing system, reconfiguration, alternative routing, production planning

Journal of Production Research & Management ISSN: 2249-4766 (online), ISSN: 2347-9930 (print) Volume 4, Issue 2 www.stmjournals.com

Reducing the Bullwhip Effect in a Supply Chain using Artificial Intelligence Technique Om Prakash*, Vijay Pandey Birla Institute of Technology, Mesra, Ranchi, India Abstract The bullwhip effect in a supply chain leads to various inefficiencies like excessive inventory, quality problems, higher raw material costs, and poor customer service, which can be reduced by coordination and collaboration among partners of a supply chain with time bound information sharing; it requires full integration. However, full integration of the organizations of a supply chain is not possible in real case scenario due to existing differences of functions, strategies and goals of partner organizations. Hence, in absence of full integration among partners, bullwhip effect can be reduced by increasing forecast accuracy. The results of this paper show that the artificial intelligence technique, artificial neural network forecasts accuracy is better than that of the traditional forecasting approaches including exponential smoothing, moving average and naĂŻve forecasts.

Keywords: Bullwhip effect, Artificial neural network

Forecasting,

Artificial

intelligence

techniques,

Journal of Production Research & Management ISSN: 2249-4766 (online), ISSN: 2347-9930 (print) Volume 4, Issue 2 www.stmjournals.com

Development of Overall Process Effectiveness for Continuous Flow Line in a Semiautomated Manufacturing System Lau Joo Hao*, Low Shye Nee, Shahrul Kamaruddin School of Mechanical Engineering, Universiti Sains Malaysia,Malaysia Abstract This paper presents Overall Process Effectiveness (OPE), a performance measurement approach in a manufacturing system. OPE evaluates the process parameters of continuous flow production that affect the performance and reliability of the process. Based on the overall equipment effectiveness (OEE) concept, OPE focuses on the evaluation of production processes that involve human and machines. The developed OPE is validated through a case study ininjection molding (IM) industry. OPE plays a key role in improving the inefficiencies of a specific process. From the result of case study, the value of the improved OPE is 34.71% higher than that of the pre-improvement OPE. The findings of this study show the functionality of OPE in assessing the effectiveness of a process based on the availability and quality performance of continuous flow in a manufacturing system.

Keywords: Performance measurement approach, Performance measurement, Continuous flow production, Semiautomated production line, Overall process effectiveness