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<title>Department of Business Studies (BUIC)</title>
<link>http://hdl.handle.net/123456789/10310</link>
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<rdf:li rdf:resource="http://hdl.handle.net/123456789/21837"/>
<rdf:li rdf:resource="http://hdl.handle.net/123456789/21838"/>
<rdf:li rdf:resource="http://hdl.handle.net/123456789/21665"/>
<rdf:li rdf:resource="http://hdl.handle.net/123456789/21666"/>
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<dc:date>2026-10-17T01:49:31Z</dc:date>
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<item rdf:about="http://hdl.handle.net/123456789/21837">
<title>Sustainable Transportation Management in TCS Pakistan: Enhancing Supply Chain Efficiency through Green Logistics</title>
<link>http://hdl.handle.net/123456789/21837</link>
<description>Sustainable Transportation Management in TCS Pakistan: Enhancing Supply Chain Efficiency through Green Logistics
Muhammad Uzair, 01-321251-021; Raja Awais Khan, 01-321251-032; Muhammad Hizbullah, 01-321251-045
The study aims to examine the sustainable transportation management practices in TCS Pakistan and finding the way to enhance the efficiency of supply chain by green logistics. The study emphasizes the rising significance of sustainability in the logistics sector because of the rising prices in fuel, the global warming problem, and customers' growing demand for the efficient supply of goods. TCS is one of the largest logistics and courier Services Company of Pakistan with a wide transportation system, which has a significant impact on the fuel consumption and carbon emissions. The study highlights the significant operational challenges faced by the company, such as inadequate route planning, excessive reliance on fuel, suboptimal load utilization, the lack of real-time monitoring tools, and the absence of a robust sustainability framework. To deal with these problems, a Sustainable Transportation Management Model (STMM) that involves route optimization, load consolidation, eco-driving, digital fleet monitoring and a gradual introduction of electric vehicles is proposed. The model aims to lower operational expenses, optimize delivery times, optimize vehicle utilization and decrease environmental footprint. The results of the simulation test conducted with the operations in Karachi showed considerable improvement in transportation efficiency. The results revealed that there was a reduction in travel distance, fuel consumption, and carbon emission, improve in delivery reliability, and improve in fleet utilization. A pilot implementation plan for Karachi South District has also been framed to test the feasibility of the proposed system. The study also outlines deployment strategies, financial considerations, implementation timelines, and future enhancements, including machine learning-based forecasting and scaling up EV fleets. The study findings suggest that sustainable transportation practices have the potential to enable TCS to improve its long-term operational efficiency, environment, and competitive edge. The suggested framework is also relevant and useful for other logistics providers in Pakistan who are interested in modernizing their transportation infrastructure and promoting sustainable supply chain practices.
Supervised by Dr. Asima Saleem
</description>
<dc:date>2026-01-01T00:00:00Z</dc:date>
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<item rdf:about="http://hdl.handle.net/123456789/21838">
<title>Dynamic Supply Chain Synergy in VUCA world Insights from Kulsum International Hospital</title>
<link>http://hdl.handle.net/123456789/21838</link>
<description>Dynamic Supply Chain Synergy in VUCA world Insights from Kulsum International Hospital
Muhammad Ahsan Uddin, 01-321251-016; Shahab Ud-Din, 01-221251-017; Sameera Aamir, 01-221251-016
This project explores the concept of dynamic supply chain synergy within a VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) environment, using Kulsum International Hospital as a case study. It examines how rapid demand fluctuations, uncertainty in medical supply availability, complex interdepartmental coordination, and unclear decision-making conditions affect healthcare supply chain performance. A qualitative phenomenological approach was used to gain real-world insights, involving semi-structured interviews with management, procurement, logistics, and clinical staff, along with workplace observations and analysis of documents such as procurement procedures, inventory records, vendor contracts, and performance reports. The findings highlight that strong cross-functional collaboration, flexible processes, real-time information sharing, and responsive leadership significantly improve efficiency, reduce delays, and enhance resilience in uncertain environments. Improved coordination helps prevent stockouts and ensures timely patient care despite ongoing disruptions. The study concludes by emphasizing the importance of adopting adaptive supply chain strategies and collaborative practices to effectively manage VUCA conditions and achieve long-term operational success in healthcare organizations
Supervised by Dr. Asima Saleem
</description>
<dc:date>2026-01-01T00:00:00Z</dc:date>
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<item rdf:about="http://hdl.handle.net/123456789/21665">
<title>Improving Logistics Transparency and Inventory Management in Retail Supply Chains through Digital Tracking and Supplier Communication Systems : A Case Study of Al Hadeed Company</title>
<link>http://hdl.handle.net/123456789/21665</link>
<description>Improving Logistics Transparency and Inventory Management in Retail Supply Chains through Digital Tracking and Supplier Communication Systems : A Case Study of Al Hadeed Company
Maheen Haider, 01-111222-069; Abdullah Shahab, 01-111222-010
This research looks into the significance of digital monitoring systems and vendor communication networks in enhancing transportation integrity and stock control throughout physical store construction-related supply networks, with particular attention to Al Hadeed . The investigation is on operational tasks of cement product and steel reinforced bars and storage facility coordinating procedures. A method of quantitative research founded on positivist theory alongside deductive approach was implemented to study the connections among electronic logistical standards, vendor collaboration, inventory management efficacy along with supply network outcomes. Basic information is extracted by way of structured polls shared across a number of personnel employed by distribution, store operations, purchase, control of stock, coordinating suppliers alongside operations oversight responsibilities. Stata was used for evaluating the data. 92 correct answers were considered. Statistical approaches were used to analyse the investigation targets, comprising descriptive statistical techniques, regression analysis, correlation analysis, a reliable testing alongside accuracy determination. The results show that electronic monitoring systems increase awareness of inventories, management of deliveries, precision of inventories alongside operational openness considerably. Techniques for vendor interaction also affect purchasing management, stock preparation and distribution timetables favourably. The evaluation of correlations revealed significant positive relationships between online tracking platforms, disclosure of transportation, stock management productivity, and production network effectiveness. Regression modelling further confirmed the predominant effect of internet-based monitoring tools on operational accuracy alongside stock effectiveness. The study finds that investments in computerized storage infrastructure and integrated vendor communications tools can exert a substantial beneficial effect on efficiency in operations in construction materials supply chains. The results provide practical recommendations for commerce construction companies to enhance stock control, minimize inventories, strengthen supplier relationships, and boost complete business transparency.
Supervised by Ms. Ghousia Awan
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<dc:date>2026-01-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/123456789/21666">
<title>Improving Supply Chain Efficiency through Forecasting and Digital Inventory Management : A Case Study of Sunlight Bakery</title>
<link>http://hdl.handle.net/123456789/21666</link>
<description>Improving Supply Chain Efficiency through Forecasting and Digital Inventory Management : A Case Study of Sunlight Bakery
Sundas Pervez, 01-111222-258; Haider Hasan Tiwana, 01-111222-264
The operational activities and supply chain problems of a bakery business, “Sunlight Bakery,” located in Pakistan, that sells cakes, pastries, breads, cookies, and customized bakery products to individual and commercial customers were explored in this project. The study revealed that several key challenges exist: variation of demand, complexity of customized orders, inventory management problems, limited storage space, and manual operational processes. The external factors, such as fluctuations in raw material prices, seasonal fluctuations in demand, growing competition in the market, and power outages, and internal factors such as the limited use of technology, non-automated inventory systems, and limited production space, all further compound the problems. The study suggested practical and cost-effective solutions such as improved demand forecasting methods and digital order and inventory management systems. The recommendations are intended to increase operational efficiency, reduce waste, enhance supply chain performance, and improve customer satisfaction. The findings of this research may be useful for small and medium-sized bakery businesses in Pakistan.
Supervised by Ms. Javeria Aftab
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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