Degree

Master of Business Administration

Faculty / School

School of Business Studies (SBS)

Advisor

Faisal Jalal, Visiting Faculty, Department of Marketing

Client

Sajid Textile Industries.

Committee Member 1

Faisal Jalal Visiting Faculty Department of Marketing Institute of Business Administration (IBA), Karachi

Project Type

MBA Research Project

Keywords

https://ir.iba.edu.pk/do/search/?q=Textile&start=0&context=8598587&facet=">Textile; Lean Manufacturing; On Time and In Full; Supply Chain Flexibility; Towels; Sourcing; Distribution

Abstract / Summary

Textile industry is one of the most significant in the manufacturing sector with longest production chain. Sajid Textile Industries, the company in focus of this report, is among the pioneers working in the textile production in Pakistan and offers a diverse and vast product line consisting of products ranging from hosiery, linen, home fabrics and institutional fabrics. Problems being faced by Sajid Textile Industries are of low on time in full, inability to furnish smaller MOQs, inadequate measures for quality assurance and non-existence of process flows, hence analysis of these supply chain problems constituted the objective of this research.

The research included studying and reviewing various articles, research journals from around the world, to get useful insights for understanding, analyzing, and utilizing various manufacturing philosophies, practices and technologies which are adapted across the world. This project used a mix of quantitative and qualitative approach i.e., research phase and then analysis phase for achieving the research objectives and finding the answer to research questions related to supply chain flexibility. Interview questionnaire was developed based on variables of correlated four-factors first-order model. Internal interviews with Sajid Textile Industries leads and external interviews with leads of other major textile industries were conducted. Further, surveys were performed to get responses from individuals against developed questionnaire.

On the data collected from internal interviews, external interviews, and surveys, correlated four-factors first-order model of SCF was applied through SPSS software for analysis purpose. As per analysis results, the project group has provided recommendations to Sajid Textile Industries to overcome SCF problems. The recommendations include holding raw material inventory of at-least two months, customization of existing ERP software Seamnia being used at Sajid Textile Industries, maintaining ERP record of yearly average requirement of STI’s clients for efficient production planning and holding raw material inventories for next six months to twelve months orders, timely information exchange between departments through ERP software, addition of quality assurance module in ERP software Seamnia to track all changes/reductions in material lot sizes happening due to rejection of material during quality control checks at production different stages, linkage of data of rejected materials of quality assurance module with the production planning module of ERP.

Available for download on Friday, July 16, 2027

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