CONSTRAINTS IDENTIFICATION AND ANALYSIS USING PARETO CHART AND CAUSE & EFFECT DIAGRAM IN THE GARMENT INDUSTRY: A CASE STUDY OF THE APPAREL INDUSTRY IN PAKISTAN, KARACHI
AbstractReadymade garments are a major textile value chain industry and play a significant role in Pakistan’s economic growth, as they make up approximately 54% of export revenues in the textile sector. Because of its importance, companies face intense local and international competition in this region. Currently, textile companies compete for consistency, reliability, customer loyalty, process efficiency, consistency, and distribution costs. Bottlenecks are the key causes of the decreased production, performance, and power of the entire system. It is often within the scheme in various forms, such as management constraints, resources, materials, facilities, procedures, policies, environment, etc., but the approaches and methods for finding the bottlenecks are almost the same. The primary purpose of this paper is to provide a wider range of bottlenecks in the garment production unit, identify root causes, and evaluate and suggest possible solutions to eliminate these bottlenecks from a selected garment industry in Karachi, Pakistan. To do this, we have worked in a specific section (i.e., cutting and stitching) on a specific product (i.e., woven pants). Data from factory records, management, and observations have been collected for two months. Pareto Analysis is carried out on the data to find the bottleneck’s key area. Cause-Effect Diagrams are then arranged to define hierarchies of causes for individual problems. Finally, potential solutions are being presented for eliminating these bottlenecks to improve the company’s performance and productivity.
Cecil C. Bozarth & Robert B. Handfield, (2008), “Introduction to Operations and Supply Chain Management.” published by Pearson Prentice Hall.
Chakravorty, S. &Atwaters, J. (2007) “Bottleneck management: Theory and practice” Production planning and control, The management of operations, Vol. 17 Issue: 5, pp. 441-447.
Cox, Jeff; Goldratt, Eliyahu M. (1986). The goal: a process of ongoing improvement. [Croton-on-Hudson, New York]: North River Press. ISBN 0-88427-061-0.
Huff, B. & Al Mansouri, M. (2017). “Systematic evaluation for bottleneck detection methods”, International Journal of Industrial and system engineering, Vol. 27 Issue :3, pp. 365-389.
Jadayil, W. Khraisat, W.&Shakoor, M. (2017). “Different strategies to improve the production to reach the optimum capacity in the plastic company”. Cogent Engineering, Vol.4 Issue: 1.
Kolinska, J. &Domansci, R. (2017). “The Analysis of Production Line Bottlenecks - Identification and Ways of Management”, Osijek, Croatia: 17th International scientific conference Business logistics in modern management, October 12-13.
Li, L., Chang, Q., and Ni, J., (2008), “Data-driven bottleneck detection of manufacturing systems”, International Journal of Production Research, Vol. 47, No. 18, pp. 5019-5036.
Li, L. Chang, Q. Ni, J & Biller, S. (2009). “Real-time production improvement through bottleneck control”, International journal of production research, Vol. 47 Issue: 21, pp. 6145- 6158.
Lawrence, S. & Buss, A. (1995) “Economic analysis of production bottlenecks”. Colorado, Boulder: Mathematical problems in engineering, Vol. 1 Issue: 4, pp. 341-363.
Pegels, C. &Watrous, C. (2005) “Application of the theory of constraints to a bottleneck operation in a manufacturing plant”, Journal of manufacturing technology management, Vol. 16 Issue: 3, pp. 302-311.
Roser, C. Lorentzen, K. &Deuse, J. (2015). “Reliable shop floor bottleneck detection for flow lines through process and inventory observations: the bottleneck walk” , Logistics Research, Vol. 8 Issue: 1, p.1.
Sekaran, U. (2003) Research Methods for Business: A Skill-Building Approach. 4th Edition, John Wiley & Sons, New York.
Sitatunga, T. Wright, A. &Sridharan, R. (2004) “Applying the theory of constraints to a supply chain collaboration” Palmerston North, New Zealand: Supply chain management: An international journal, Vol. 9 Issue: 1, pp. 57-70.
Vilarinho, P. M., and Simaria, A. S., (2002), “A two-stage heuristic method for balancing mixedmodel assembly lines with parallel workstations”, International Journal of Production Research, Vol. 40, No. 6, pp. 1405-1420.
Yemane, A. Haque, S. &Malfanti, I. (2017) “Bottleneck identification using time study and simulation modelling of apparel industries” Bogota, Columbia: Proceedings of the International conference on industrial engineering and operations management.