International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 05 | May 2025
p-ISSN: 2395-0072
www.irjet.net
Digitizing Fitout Procurement: Primavera-Driven Bid Evaluation and Negotiation Framework for High-Value Interiors Vijay H Ahire1, Paras Kumar2 1Research Scholar, Mewar University, Chittorgarh, Rajasthan
2Assistant Professor, Civil Engg. Department, Mewar University, Chittorgarh, Rajasthan
---------------------------------------------------------------------***--------------------------------------------------------------------2. LITERATURE REVIEW Abstract - This study presents a comprehensive and scalable framework for evaluating bids and selecting vendors in high-value office fitout projects, incorporating multicriteria decision-making (MCDM) techniques, a structured negotiation model, and Primavera-based schedule simulations. Traditional lowest-bid (L1) procurement often leads to suboptimal performance, especially in projects demanding high customization, rapid delivery, and quality adherence. Through a case-based approach involving the ABC Corporate Office fitout project in Mumbai, India, this research demonstrates the efficacy of a Quality and Cost-Based Selection (QCBS) model combined with digital project management simulations. Technical and financial assessments, visualized via dashboards and Gantt chart comparisons, enable balanced, data-backed decision-making. Post-selection negotiation and post-award vendor performance tracking further strengthen the framework’s robustness. The methodology proposed bridges the gap between theoretical procurement models and practical implementation, offering standardized templates, evaluation matrices, and visual analytics for broader industry adoption.
A review of international studies revealed limitations in existing models of procurement and vendor evaluation:
Perera et al. (2009) and Waara & Brochner (2006) emphasized the value of multi-criteria frameworks.
Al-Harbi (2001) and Ng & Tang (2010) applied AHP-based models, though complexity limits implementation.
Love et al. (2008) and CBRE India (2021) highlighted fitout-specific risks.
Zhang et al. (2018) and Naqvi et al. (2021) examined BIM and Primavera tools for project forecasting.
These studies provided valuable insights into methods such as MCDM, FAHP, risk-based selection, and digital procurement modeling, but rarely integrated these techniques holistically within a single procurement framework tailored to office fitouts.
Key Words: Bid Evaluation, Vendor Selection, Primavera P6, Office Fitout, QCBS
1.INTRODUCTION
Table 1: Summary of Literature Gaps
Vendor selection in commercial office fitout projects has grown increasingly complex due to the demand for rapid, high-quality, and cost-sensitive execution. Traditional procurement methods relying on L1 (lowest cost) bidding frequently result in challenges such as quality compromise, execution delays, and disputes. The rising expectations of clients and complexities of interior project scope necessitate the development of a framework that is transparent, datadriven, and scalable. This research aims to address the inefficiencies in traditional bidding systems by designing a comprehensive bid evaluation and vendor selection framework specifically for office fitout projects. Using Primavera P6 for schedule simulation and incorporating structured negotiation templates, the proposed system facilitates strategic procurement decisions.
Theme
Key Findings
Gap Identified
Bid Evaluation
Multi-criteria scoring enhances accuracy
No real-time visualization of impact
Vendor Selection
AHP & FAHP methods used
Not applied to Indian fitout sector
Negotiati on
Ad hoc processes lead to ambiguity
Primaver a Use
Used in planning
Lack of templates/checklists Not integrated in bid selection
3. METHODOLOGY This study adopts a mixed-method approach, combining qualitative tools (interviews, expert validation) and quantitative analytics (technical & financial matrices,
© 2025, IRJET
|
Impact Factor value: 8.315
|
ISO 9001:2008 Certified Journal
|
Page 1293