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- All Subjects: management
- All Subjects: Construction industry--Saudi Arabia--Management.
- Creators: Kashiwagi, Jacob
- Creators: Fowler, John
- Resource Type: Text
- Status: Published
Description
Abstract The purpose of this project is to utilize the models and concepts from Information Measurement Theory (IMT) to help minimize future decision making with respect to my career path. When I began this project, my future was clouded, my initial conditions were unknown, my stress over future career-path decisions was high, and I had eight possible career paths in mind. I have narrowed my career-path options from eight to four. In addition, I have determined a one-year plan that enables me to be prepared to pursue any of the four career paths that I have found align with me. In this project, I explored my dominant initial conditions with respect to my career path. I tracked the job history of my grandparents and parents. These efforts allowed me to identify the strengths and weaknesses that I was exhibiting by the age of three. Natural law dictates that the strengths and weaknesses of my younger self will be the same strengths and weakness that I excel at and struggle with today. I then used my understanding of natural law and the event model process to map the strengths and weaknesses of my parents and grandparents and to compare and contrast these to my strengths and weaknesses, including those that were apparent by the time that I was three years old. Focusing in on what I really want from a job, four main goals were established to grade the various future career-path options. Finally, I documented my transition from uncertainty to clarity. It began with my sobriety and ended with a milestone one-year plan that will give me information that I need to commit to my career path. This transition has had significant impact. The elusive "who am I" has been addressed, not completely but addressed sufficiently so that the question no longer plagues me. I know from where I have come. I have gained significant insight from those around me who know me. All of this has been documented for my own personal use, and for my children someday. This process permitted me to eliminate outliers from my eight original career paths, reducing them to four. In addition, application of IMT models and concepts has allowed me to see one year into the future. With my new-found knowledge, I will listen and watch the doors close on three of the remaining four career paths, as there is only one path I am meant to take.
ContributorsRichardson, Trevor Woods (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor) / Del E. Webb Construction (Contributor)
Created2014-05
Description
Yield is a key process performance characteristic in the capital-intensive semiconductor fabrication process. In an industry where machines cost millions of dollars and cycle times are a number of months, predicting and optimizing yield are critical to process improvement, customer satisfaction, and financial success. Semiconductor yield modeling is essential to identifying processing issues, improving quality, and meeting customer demand in the industry. However, the complicated fabrication process, the massive amount of data collected, and the number of models available make yield modeling a complex and challenging task. This work presents modeling strategies to forecast yield using generalized linear models (GLMs) based on defect metrology data. The research is divided into three main parts. First, the data integration and aggregation necessary for model building are described, and GLMs are constructed for yield forecasting. This technique yields results at both the die and the wafer levels, outperforms existing models found in the literature based on prediction errors, and identifies significant factors that can drive process improvement. This method also allows the nested structure of the process to be considered in the model, improving predictive capabilities and violating fewer assumptions. To account for the random sampling typically used in fabrication, the work is extended by using generalized linear mixed models (GLMMs) and a larger dataset to show the differences between batch-specific and population-averaged models in this application and how they compare to GLMs. These results show some additional improvements in forecasting abilities under certain conditions and show the differences between the significant effects identified in the GLM and GLMM models. The effects of link functions and sample size are also examined at the die and wafer levels. The third part of this research describes a methodology for integrating classification and regression trees (CART) with GLMs. This technique uses the terminal nodes identified in the classification tree to add predictors to a GLM. This method enables the model to consider important interaction terms in a simpler way than with the GLM alone, and provides valuable insight into the fabrication process through the combination of the tree structure and the statistical analysis of the GLM.
ContributorsKrueger, Dana Cheree (Author) / Montgomery, Douglas C. (Thesis advisor) / Fowler, John (Committee member) / Pan, Rong (Committee member) / Pfund, Michele (Committee member) / Arizona State University (Publisher)
Created2011
Description
In today's global market, companies are facing unprecedented levels of uncertainties in supply, demand and in the economic environment. A critical issue for companies to survive increasing competition is to monitor the changing business environment and manage disturbances and changes in real time. In this dissertation, an integrated framework is proposed using simulation and online calibration methods to enable the adaptive management of large-scale complex supply chain systems. The design, implementation and verification of the integrated approach are studied in this dissertation. The research contributions are two-fold. First, this work enriches symbiotic simulation methodology by proposing a framework of simulation and advanced data fusion methods to improve simulation accuracy. Data fusion techniques optimally calibrate the simulation state/parameters by considering errors in both the simulation models and in measurements of the real-world system. Data fusion methods - Kalman Filtering, Extended Kalman Filtering, and Ensemble Kalman Filtering - are examined and discussed under varied conditions of system chaotic levels, data quality and data availability. Second, the proposed framework is developed, validated and demonstrated in `proof-of-concept' case studies on representative supply chain problems. In the case study of a simplified supply chain system, Kalman Filtering is applied to fuse simulation data and emulation data to effectively improve the accuracy of the detection of abnormalities. In the case study of the `beer game' supply chain model, the system's chaotic level is identified as a key factor to influence simulation performance and the choice of data fusion method. Ensemble Kalman Filtering is found more robust than Extended Kalman Filtering in a highly chaotic system. With appropriate tuning, the improvement of simulation accuracy is up to 80% in a chaotic system, and 60% in a stable system. In the last study, the integrated framework is applied to adaptive inventory control of a multi-echelon supply chain with non-stationary demand. It is worth pointing out that the framework proposed in this dissertation is not only useful in supply chain management, but also suitable to model other complex dynamic systems, such as healthcare delivery systems and energy consumption networks.
ContributorsWang, Shanshan (Author) / Wu, Teresa (Thesis advisor) / Fowler, John (Thesis advisor) / Pfund, Michele (Committee member) / Li, Jing (Committee member) / Pavlicek, William (Committee member) / Arizona State University (Publisher)
Created2010
Description
Industry is changing. Businesses are plagued with problems of inefficiency, ineffectiveness, and waste. Many of these issues arise from some common mistakes within established management structures; these issues include lack of expertise in leadership positions, lack of unity across the organization, and imbalance within the business. Using Information Measurement Theory, the Kashiwagi Solution Model, and leadership theories, this thesis presents a simple approach to creating a business structure through explaining the basic tenets of a successful modern business. It was determined that the first and most important task of a business is to set realistic long-term goals for the organization. This thesis proposes that the basic needs of a successful business also includes having the right individuals, team formation, positive leadership, and the proper alignment of resources. It was found that it is best to hire individuals that exhibit some Type A characteristics because those individuals are likely to effectively carry out the goals of the business. Forming these individuals into small teams increases their processing speeds and encourages a balance of accountability, innovative solutions, and a network of learning. Furthermore, consistent, positive leadership that lives the company culture is a key element to successfully maintaining the business vision and maximizing associate effectiveness. It was also determined that aligning the organization to work towards the business vision can be performed through implementing a flat structure, placing individuals in roles that maximize effectiveness, and establishing the right business goals so that there is a consistent business vision at all levels of the organization. This thesis also provides guidance on how to implement these tenets in a simple, dominant way. Ultimately, the four proposed tenets working in unison towards business goals can lead to a successful and adaptable modern business.
ContributorsMeade, Payton Drew (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The construction industry in India suffers from major time and cost overruns. Data from government and industry reports suggest that projects suffer from 20 to 25 percent time and cost overruns. Waste of resources has been identified as a major source of inefficiency. Despite a substantial increase in the past few years, demand for professionals and contractors still exceeds supply by a large margin. The traditional methods adopted in the Indian construction industry may not suffice the needs of this dynamic environment, as they have produced large inefficiencies. Innovative ways of procurement and project management can satisfy the needs aspired to as well as bring added value. The problems faced by the Indian construction industry are very similar to those faced by other developing countries. The objective of this paper is to discuss and analyze the economic concerns, inefficiencies and investigate a model that both explains the Indian construction industry structure and provides a framework to improve efficiencies. The Best Value (BV) model is examined as an approach to be adopted in lieu of the traditional approach. This could result in efficient construction projects by minimizing cost overruns and delays, which until now have been a rarity.
ContributorsNihas, Syed (Author) / Kashiwagi, Dean (Thesis advisor) / Sullivan, Kenneth (Committee member) / Kashiwagi, Jacob (Committee member) / Arizona State University (Publisher)
Created2013
Description
Delays are a major cause for concern in the construction industry both globally and locally in Saudi Arabia. This paper identifies the main causes of delay in infrastructure projects in the holy city of Makkah (Saudi Arabia) and compares these with projects around the rest of the country and other Gulf countries as well. Data were obtained from 49 infrastructure projects that were undertaken by the owner and were analyzed quantitatively to understand the severity and causes of delay. 10 risk factors were identified in this study and these factors were grouped into four categories. The average delay in infrastructure projects in the city of Makkah was found to be 39%. The most severe cause of delay was found to be the land acquisition factor. This highlights the critical land ownership and acquisition issues that is prevailing in Makkah. In addition to this, other factors include contractors’ lack of expertise, haphazard underground utilities (line services), and re-designing. It is concluded that majority of delays were caused from the owner’s side as compared to contractors, consultants, and other project’s stakeholders. This finding was in line with the research findings of the Gulf Countries Construction (GCC) Industry’s literature as well. This study will fill an important practice and research gap for improving the efficiency in project delivery for infrastructure projects in the holy city of Makkah and the Gulf countries at large.
ContributorsElawi, Ghazi Saad A (Author) / Kashiwagi, Dean (Thesis advisor) / Sullivan, Kenneth (Committee member) / Kashiwagi, Jacob (Committee member) / Arizona State University (Publisher)
Created2015
Description
Saudi Arabia has been having many issues with large construction projects such as delays, low performance and high cost. Some studies show that around 70% of the public projects in Saudi Arabia are delayed. These issues have resulted from many factors. One of the factors believed to be delaying projects is the Saudi procurement system. The Saudi procurement system only selects contracts based on the lowest bid price offered. However, the Saudi procurement system has been found to not only produce delayed low quality projects, but also has resulted in higher costs.
This paper shows how to modify the Saudi procurement system by implementing a clarification phase, which is the most important phase in the Performance Information Procurement System (PIPS). The clarification phase requires the bid’s winning contractor to submit a project scope, a project schedule, to identify risks that not their responsibility, performance measurements and a milestone schedule. The PIPS system has been one of the most successful systems around the world and has shown a 98% success rate in six different countries with risks and cost reductions up to 30%.
This research conducted a survey of 157 engineers, 33 consultants, 9 owners, 5 vendors, 13 academics, and 28 architects to develop the public procurement system in Saudi Arabia. The participants work in government sectors with an interest in the Saudi Arabian procurement system. 80.61 % of participants believe that the traditional Saudi procurement system consistently selects poor performing contractors. Moreover, 95.97% of participants think that the selection of contractors based only on the lowest price criterion affects projects negatively. Also, 96.20% of participants in the survey feel that there needs to be a change in the traditional Saudi Arabian procurement system. 88.7% of participants agree to require the contractor to identify risks, and 96.03 % of participants agree that the contractors must have a plan. Moreover, 95.45% of participants agree to require a contractor review the scope of a project and verify that it is correct. Finally, 82.18% of participants agree to require a contractor to resolve all owner concerns before signing a contract to improve construction projects performance. The paper shows the need to change the Saudi procurement system and a solution to this growing problem.
This paper shows how to modify the Saudi procurement system by implementing a clarification phase, which is the most important phase in the Performance Information Procurement System (PIPS). The clarification phase requires the bid’s winning contractor to submit a project scope, a project schedule, to identify risks that not their responsibility, performance measurements and a milestone schedule. The PIPS system has been one of the most successful systems around the world and has shown a 98% success rate in six different countries with risks and cost reductions up to 30%.
This research conducted a survey of 157 engineers, 33 consultants, 9 owners, 5 vendors, 13 academics, and 28 architects to develop the public procurement system in Saudi Arabia. The participants work in government sectors with an interest in the Saudi Arabian procurement system. 80.61 % of participants believe that the traditional Saudi procurement system consistently selects poor performing contractors. Moreover, 95.97% of participants think that the selection of contractors based only on the lowest price criterion affects projects negatively. Also, 96.20% of participants in the survey feel that there needs to be a change in the traditional Saudi Arabian procurement system. 88.7% of participants agree to require the contractor to identify risks, and 96.03 % of participants agree that the contractors must have a plan. Moreover, 95.45% of participants agree to require a contractor review the scope of a project and verify that it is correct. Finally, 82.18% of participants agree to require a contractor to resolve all owner concerns before signing a contract to improve construction projects performance. The paper shows the need to change the Saudi procurement system and a solution to this growing problem.
ContributorsAlofi, Ahmed Abdulrahman (Author) / Kashiwagi, Dean (Thesis advisor) / Sullivan, Kenneth (Committee member) / Kashiwagi, Jacob (Committee member) / Arizona State University (Publisher)
Created2015
Description
In this dissertation research, I expand the definition of the supply network to include the buying firm’s competitors. Just as one buyer-supplier relationship impacts all other relationships within the network, the presence of competitor-supplier relationships must also impact the focal buying firm. Therefore, the concept of a “competitive network” made up of a focal firm, its competitors and all of their combined suppliers is introduced. Utilizing a unique longitudinal dataset, this research explores how the organic structural changes within the new, many-to-many supply network impact firm performance. The investigation begins by studying the change in number of suppliers used by global auto manufacturers between 2004 and 2013. Following the Great Recession of 2008-09, firms have been growing the number of suppliers at more than twice the rate they had been reducing suppliers just a few years prior. The second phase of research explores the structural changes to the network resulting from this explosive growth in the number of suppliers. The final investigation explores a different flow – financial flow -- and evaluates its association with firm performance. Overall, this dissertation research demonstrates the value of aggregating individual supply networks into a macro-network defined as the competitive network. From this view, no one firm is able to control the structure of the network and the change in structure directly impacts firm performance. A new metric is introduced which addresses the subtle changes in buyer-supplier relationships and relates significantly to firm performance. The analyses expand the body of knowledge through the use of longitudinal datasets and uncovers otherwise overlooked dynamics existing within supply networks over the past decade.
ContributorsHuff, Jerry (Author) / Fowler, John (Thesis advisor) / Rogers, Dale (Committee member) / Carter, Craig (Committee member) / Arizona State University (Publisher)
Created2016
Description
Economic and environmental concerns necessitate the preference for retrofits over new construction in manufacturing facilities for incorporating modern technology, expanding production, becoming more energy-efficient and improving operational efficiency. Despite the technical and functional challenges in retrofits, the expectation from the project team is to; reduce costs, ensure the time to market and maintain a high standard for quality and safety. Thus, the construction supply chain faces increasing pressure to improve performance by ensuring better labor productivity, among other factors, for efficiency gain. Building Information Modeling (BIM) & off-site prefabrication are determined as effective management & production methods to meet these goals. However, there are limited studies assessing their impact on labor productivity within the constraints of a retrofit environment. This study fills the gap by exploring the impact of BIM on labor productivity (metric) in retrofits (context).
BIM use for process tool installation at a semiconductor manufacturing facility serves as an ideal environment for practical observations. Direct site observations indicate a positive correlation between disruptions in the workflow attributed to an immature use of BIM, waste due to rework and high non-value added time at the labor work face. Root-cause analysis traces the origins of the said disruptions to decision-factors that are critical for the planning, management and implementation of BIM. Analysis shows that stakeholders involved in decision-making during BIM planning, management and implementation identify BIM-value based on their immediate utility for BIM-use instead of the utility for the customers of the process. This differing value-system manifests in the form of unreliable and inaccurate information at the labor work face.
Grounding the analysis in theory and observations, the author hypothesizes that stakeholders of a construction project value BIM and BIM-aspects (i.e. geometrical information, descriptive information and workflows) differently and the accuracy of geometrical information is critical for improving labor productivity when using prefabrication in retrofit construction. In conclusion, this research presents a BIM-value framework, associating stakeholders with their relative value for BIM, the decision-factors for the planning, management and implementation of BIM and the potential impact of those decisions on labor productivity.
BIM use for process tool installation at a semiconductor manufacturing facility serves as an ideal environment for practical observations. Direct site observations indicate a positive correlation between disruptions in the workflow attributed to an immature use of BIM, waste due to rework and high non-value added time at the labor work face. Root-cause analysis traces the origins of the said disruptions to decision-factors that are critical for the planning, management and implementation of BIM. Analysis shows that stakeholders involved in decision-making during BIM planning, management and implementation identify BIM-value based on their immediate utility for BIM-use instead of the utility for the customers of the process. This differing value-system manifests in the form of unreliable and inaccurate information at the labor work face.
Grounding the analysis in theory and observations, the author hypothesizes that stakeholders of a construction project value BIM and BIM-aspects (i.e. geometrical information, descriptive information and workflows) differently and the accuracy of geometrical information is critical for improving labor productivity when using prefabrication in retrofit construction. In conclusion, this research presents a BIM-value framework, associating stakeholders with their relative value for BIM, the decision-factors for the planning, management and implementation of BIM and the potential impact of those decisions on labor productivity.
ContributorsGhosh, Arundhati (Author) / Chasey, Allan D (Thesis advisor) / Laroche, Dominique-Claude (Committee member) / Fowler, John (Committee member) / Arizona State University (Publisher)
Created2015
Description
Saudi Arabia has been facing issues with completing construction projects on time and on budget. It has been documented that 70% of public construction projects are delayed. Studies have identified the low-bid delivery method as an important factor in causing such delays. The procurement system (low-bid) ignores contractors’ performance, and that is reflected in projects’ performance. A case study was performed, at a University campus in northern Saudi Arabia, identifying the major causes of project delays and cost overruns. The University was experiencing delays from 50% to 150%. Also, the actual project costs for four projects were examined and found that all four projects’ costs were higher than the original bid. The delay and cost overruns factors were gathered from the University engineers. A literature research identified one construction management method, best value performance information procurement system (BV PIPS), has documented multiple times its ability to improve project performance. In a comparison using the result of a case study and the results of (BV PIPS), Saudi Arabia’s delivery system was identified as a potential cause of project performance issues. The current procurement system was analyzed and modified to adapt with the (BV PIPS). The proposed procurement system using BV PIPS, which can be implemented in Saudi Arabia, was created with owner side. A large survey was conducted of 761 classified contractors and 43 universities’ representatives who rated causes of delay factors and cost overruns. The delay factors were then compared to delay factors experienced on Saudi construction projects, identified by performing a literature research. The comparison identified 14 important causes of delays. Moreover, the survey showed that classified contractors and universities’ representatives unsatisfied with low-bid, and they agreed with BV PIPS which selecting vendors based on performance with price. The proposed model required a submitted level of experience (LE), risk assessment (RA), and value added (VA). Besides, project managers of vendors should be interviewed during the clarification phase. In addition, venders should submit the project’s scope, technical schedule, milestone schedule, and risk management plan. In the execution phase, vendors should submit a weekly risk report (WRR) and director’s report (DR).
ContributorsAlzara, Majed (Author) / Kashiwagi, Dean (Thesis advisor) / Kashiwagi, Jacob (Committee member) / Al-Tassan, Abdulrahman (Committee member) / Arizona State University (Publisher)
Created2016