An Integrated Project Delivery-Based Supply Chain Management for Modular Construction in the Philippines

Prove the effectiveness and efficiency of supply chain management through the application of a StartUp product. The methodology used in this research is a qualitative approach, namely through participatory observation, depending on experience, case studies and other literature related to measuring the effectiveness and efficiency of Supply Chain Management through the application of a StartUp product. It seeks to integrate work in supply chain management, by implementing a StartUp product into one partnership. Cooperation that results in effectiveness and efficiency in the scope of work. The findings obtained are effective ProductStartUp and efficiency of Supply Chain Management, namely by facilitating information, logistics, making references, strategies and reducing risks as well as reducing costs and reducing the risk of reducing complaints, and increasing satisfaction. This research provides many fields, where researchers can complete additional research and develop further research agendas. Originality value - This paper provides some insight into the effectiveness and efficiency of Supply Chain Management, focusing on facilitating information, logistics, making references, strategies and reducing risks while also reducing the cost of reducing complaints, and increasing satisfaction. towards supply chain management.

ABSTRACTAs an emerging trend, Integrated Project Delivery (IPD) aims to address the issue of mistrust by using a relational contracting approach. Given that trust demonstrates a perceived reliability of an individual through time, one may question the role that a project delivery or contract could possibly play in building trust. The objective of this research is to analyze the relationship between trust and IPD. The research findings indicate that IPD and trust have a symbiotic relationship. While committing to an IPD arrangement requires an established trust, the IPD arrangement also further promotes trust. Committing to an IPD arrangement requires trust due to the existence of shared risks and rewards model and waivers of liabilities provision. On the other hand, IPD organizational and contractual principles further promote system-based trust, and IPD communication and behavioral principles further promote cognition-based trust. This manuscript contributes to the body of knowledge by providing insights into the symbiotic relationship between IPD and trust and identifying the trust-building attributes in construction contracting and more specifically IPD.

The relationship between integrated project delivery (IPD) and information and communication technology (ICT) in the context of public sector construction in the United States is critically examined in this paper. While IPD is gaining significant attention lately from educators and researchers alike, the current body of knowledge lacks information about how project owners—the key stakeholders in construction who decide on the type of project delivery system—perceive IPD. In addition, there has been little to no research investigating the relationship between IPD and ICT, taking the degree (extent) of use and type of ICT (internal versus external) into consideration. This study attempts to fill these research gaps. Using 59 survey data points collected from various public sector owners in the United States, this study investigates two research questions: (1) the perception of IPD characteristics on project delivery effectiveness, and (2) the perception that ICT fosters IPD. The perception regarding...

The Building Information Modelling (BIM) implementation is to create a centralised knowledge sharing resource that contains all the necessary design and operational information about the project. BIM is a collaborative approach and integrated project delivery to design and delivery embraced by various construction teams in the construction projects. In the context of the most suitable project delivery to be used, with regards to the use of BIM, the Integrated Project Delivery (IPD) approach is highlighted as the best method which correlates building procurement of the design-to-construction business process through literature review analysis. IPD is developed as project delivery system that integrates people in effective collaborative approach between the key players in the project. IPD is going to be particularly beneficial for BIM because the contracts relation between the contractor, designers, consultants, constructors, sub-contractors and suppliers were binded and expressly determined at earlier stage. This relationship between these two subjects will helped the project team to achieve the project goals in terms of timely schedule, life cycle costs, quality and sustainability in construction project. Therefore, this study investigates on the propensity of the best methodology of project delivery system which can correlate with procurement adoption for projects adapt BIM concept. This is a descriptive study and the method used is based on review of the literature in relation to BIM and IPD. The analysis revealed that propensity of adopting IPD project delivery and the adoption of BIM are based on these factors: improve the communication, closer collaboration; liability and legal relationships are specifically determined, the best quality outcome; and lastly with reductions in design and construction period, it provides a cost effectiveness and a saving in overall construction period.

This study aims to analyze the effect of the effectiveness of the implementation of supply chain management and operational cost efficiency on the company's performance with competitive advantage as a moderating variable. The research population is the decision maker on the CV. Eight Eight as many as 36 people. The results showed that the effect of the effectiveness of the implementation of supply chain management and operational cost efficiency had a positive effect on company performance. Meanwhile, competitive advantage weakens the effect of the effectiveness of implementing supply chain management and operational cost efficiency on company performance.
 Keywords: Supply Chain Management Effectiveness; Operational Cost Efficiency; Company Performance; Competitive Advantage.

Due to the inherent inefficiencies in conventional approaches followed in the construction industry and the global demand for lean and sustainable construction techniques, modular construction has witnessed a resurge especially in high-rise buildings. As such, much efforts have been put in studying the use of mass timber for the main structure of high-rise buildings in order to ensure more sustainable developments with high levels of adaptability. In this regard, previous research efforts have primarily focused on the added benefits of mass timber, its structural design and performance, and associated safety requirements. However, owing to the novelty in combining modular processes with timber materials and associated lack of data, several regulatory barriers and contractual issues still exist. To mitigate these issues, this paper studies the specifics of permit approvals and contracting issues in timber high-rise modular buildings. The objective is to develop a comprehensive up-to-date review and analysis of the relevant practices and to conduct interviews with industry experts to analyze their concerns, given the insufficient number of guides and building codes that dealt with these issues. Hence, our study investigates the process of obtaining permit approvals from local jurisdictions in Ontario in addition to the requirements for submission of additional documentation, engineering analysis, and testing. Moreover, it analyzes the initial stage of contractual agreement of stakeholders under the uncertainties imposed on these buildings and evaluates the suitability of Integrated Project Delivery (IPD) contracting method. Presenting detailed analysis of the initial planning stages for timber high-rise modular buildings can in turn suggest the best practices to be taken into consideration for the successful implementation of these buildings under the current building code.

Inventory optimization is pivotal in mitigating economic losses and enhancing efficiency in supply chain management. This paper examines the challenges associated with traditional inventory practices, including inefficiencies, demand variability, and supply chain disruptions, which lead to substantial financial and operational setbacks. Building on theoretical foundations and insights from existing research, a comprehensive inventory optimization framework is proposed, integrating advanced technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and cloud-based systems. The framework emphasizes data-driven decision-making, real-time tracking, lean inventory management, and sustainability, offering scalable solutions for diverse industries. Practical recommendations for implementation include investments in advanced technologies, collaborative supply chain practices, and continuous performance monitoring. The proposed framework aims to reduce costs, improve operational resilience, and align inventory management with broader economic and environmental goals. By adopting this innovative approach, organizations can navigate the complexities of modern supply chains and achieve long-term success.. Keywords: Inventory Optimization, Supply Chain Management, Economic Losses, Advanced Technologies, Lean Inventory, Sustainability.

The development of globalization has made digital technology play an important role in increasing the efficiency of supply chain management to ensure that its products are truly halal at the point of purchase for consumers. The technology that plays an active role in supply chain management is artificial intelligence (AI). This study aims to determine the effectiveness of implementing AI in halal product supply chain management. The object of this study is a scientific article that implements AI technology in halal product supply chain management with a qualitative approach through the Systematic Literature Review (SLR) method. Literature studies were conducted using Google Scholar and Science Direct to obtain detailed and up-to-date information on the topics to be studied. This study found 12 AI models that can be used in supply chain management. However, its implementation in the field of halal supply chains has not been widely implemented. This study also found that the implementation of AI in the halal product supply chain can improve operational efficiency and improve supply chain performance. However, successful adoption depends on technological readiness, good collaboration between technology and human expertise, and consumer trust. Investing in AI-based systems can significantly improve supply chain integrity and consumer trust.

The benefits of adopting collaborative approaches in the construction industry, such as Building Information Modelling (BIM), Integrated Project Delivery (IPD), and Lean Construction (LC), in an integrated manner are widely acknowledged in academia and industry. Once organizations have embraced BIM, IPD, and LC integration (BIL), a measurement method for evaluating their progress and planning for continuous improvement is required. However, there is no widely accepted capability assessment model, such as Maturity Models (MMs), to effectively assess productivity improvements in organizations adopting all three approaches based on the interdependencies between them. The first step in the process of BIL MM development is identifying the critical attributes of BIM, IPD, and LC integration. This research investigates the interrelationships of BIM, IPD, and LC for use in the maturity models, determining how BIM and IPD can support the application of LC principles. The mixed methods approach was adopted, and a literature review and a two-round Delphi survey were conducted for the data collection. The findings revealed a number of complementarities between BIM, IPD, and LC. The panel of experts agreed upon the five major attributes and 24 sub-attributes of BIM, IPD, and LC, which formed the structure of the presented integrated BIL framework. The significance of this study is to provide the basis for organizations that intend to implement BIM, IPD, and LC in an integrated manner. Interrelating these attributes in a maturity framework also supports the planning and evaluation of organizations’ progress towards realistic goals for continuous improvement.

Comparative analysis between integrated project delivery and lean project delivery

Currently, the problem of insufficient efficiency of supply chain management is relevant. One of the problems solved within the limits of the specified problem is the optimization problem of inventory management. Optimization methods that find an approximate solution using a directed search have a high probability of reaching a local extremum. Optimization methods that find an exact solution have a high computational complexity. Random search methods do not guarantee convergence. In this connection, there is a problem of insufficient efficiency of optimization methods, which needs to be solved. The article considers the task of inventory management as a component of the task of effective supply chain management. To solve this problem, the existing multi-agent metaheuristic methods were investigated. To improve the quality of solving this problem, particle swarm optimization and artificial fish swarm algorithm were chosen, which are modified by introducing dynamic parameters and Cauchy and Gaussian distributions. Parallel algorithms based on CUDA technology are proposed for these methods. This made it possible to ensure high speed and accuracy of the decision. The proposed methods are designed for software implementation in the Matlab package using the Parallel Computing Toolbox, which speeds up the process of finding a solution. The software that implements the proposed methods was developed and researched based on the data of the logistics company "Ekol Ukraine". The conducted experiments confirmed the functionality of the developed software and allow us to recommend it for practical use in solving supply chain management problems. Prospects for further research are to test the proposed methods on a wider set of test databases.

The emergence and rapid development of e-commerce and information technology has revolutionized the supply chain management model of enterprises. The e-commerce platform has created an intelligent “ecosphere” for the enterprise supply chain. Therefore, the various relationships between enterprises are more stable under the constraints of third parties, and the efficiency of supply chain management is significantly improved. However, there are still many problems, so continuous optimization management is needed to meet the expanding supply chain management needs.

Blockchain technology and smart contracts are emerging as transformative tools for enhancing transparency and efficiency in supply chain management and vendor relations. Traditional supply chains often face challenges such as inefficiencies, lack of transparency, and susceptibility to fraud (Kouhizadeh & Sarkis, 2018). Blockchain, a decentralized ledger technology, coupled with smart contracts, which are self-executing contracts with the terms directly written into code, offers promising solutions to these challenges (Wang, Han, & Beynon-Davies, 2019). This paper explores the application of blockchain and smart contracts in these domains, examining their potential to provide immutable records, streamline processes, and mitigate risks (Casado-Vara et al., 2018). Through a comprehensive analysis of current literature and case studies, we identify key benefits including improved transparency, enhanced efficiency, and better risk management (Christidis & Devetsikiotis, 2016; Tian, 2016). Our findings suggest that blockchain and smart contracts can significantly improve supply chain transparency and vendor management, though their implementation requires careful consideration of technical, regulatory, and organizational factors (Saberi et al., 2019). Notable case studies, such as Walmart’s blockchain pilot for food safety and De Beers' diamond tracking initiative, illustrate the practical benefits and challenges of adopting these technologies in real-world scenarios (Casino, Dasaklis, & Patsakis, 2019; Kshetri, 2018). Despite the promising outlook, further research is needed to address scalability, interoperability, and regulatory compliance issues to fully realize the potential of blockchain and smart contracts in supply chain management (Hughes et al., 2019).

Supply chain management is a crucial aspect of a company's operations. This study aims to examine the application of the Economic Order Quantity (EOQ) method in managing finished product inventory at Evodis Aroma, a company engaged in the essential oil aromatherapy industry. Efficiency in supply chain management, particularly inventory management, is key for companies to meet customer demand while minimizing operational costs. The EOQ method is applied to determine the optimal quantity of products to order or produce in order to minimize storage and ordering costs. In addressing the challenges of demand fluctuations and storage constraints, the EOQ method is expected to optimize inventory and enhance operational efficiency at Evodis Aroma. The findings of this study indicate that the implementation of EOQ significantly contributes to reducing storage costs and improving product availability to meet market demand, thereby increasing the company's overall efficiency.

Today successful business success relies on efficient supply chain management (SCM) in the ever-changing global marketplace. Traditional SCM processes are subject to inefficiency, manual intervention, destruction, etc. This paper evaluates the contribution of Pega’s Robotic Process Automation (RPA) in effecting transformation in SCM efficiency. Powered by AI and Machine Learning, Pega’s RPA streamlines processes like order management, inventory tracking, demand forecasting and so much more, moving supply chains from reactive to predictive. This was a mixed methods approach combining case studies, surveys, and interviews with industry professionals. Results indicate significant operational improvements: This resulted in a 40 percent reduction in processing times, an 85 percent decrease in manual errors, and a 30 percent reduction in operational costs. Another case example illustrates how Pega’s RPA improves scalability, decreases errors and is cost-efficient. While the technology is beneficial, the initial costs are high, there is workforce adaptation, and enough makes the integration challenging. The findings underscore the need for strategic planning and workforce readiness for implementation success. Finally, the study concludes that Pega’s RPA is not just another tool for automation, but an investment in supply chain modernization that provides actionable insights to organizations and serves as a foundation for future RPA research on scalability and integration with new technology. Keywords: Supply Chain Management (SCM), Robotic Process Automation (RPA), Pega, Operational Efficiency, AI and Machine Learning, Cost Reduction, Scalability