Edmund Pek - Academia.edu (original) (raw)

Papers by Edmund Pek

The Republic of Singapore Air Force (RSAF) conducts Logistics Support Analysis (LSA) studies in v... more The Republic of Singapore Air Force (RSAF) conducts Logistics Support Analysis (LSA) studies in various engineering and logistics efforts on the myriad of air defense weapon systems. In these studies, inventory spares provisioning, availability and sustainability analyses are key focus areas to ensure asset sustenance. In particular, OPUS10, a commercial-off-the-shelf software, is extensively used to conduct reparable spares optimization in acquisition programs. However, it is limited in its ability to conduct availability and sustainability analyses of time-varying operational demands, which are crucial in Operations & Support (O&S) and contingency planning. As the RSAF seeks expansion in its force structure to include more sophisticated weapon systems, the operating environment will become more complex. Agile and responsive logistics solutions are needed to ensure the RSAF engineering community stays abreast and consistently push for deepening competencies, particularly in LSA capabilities. This research is aimed at the development of a model solution that combines spares optimization and sustainability capabilities to meet the dynamic requirements in O&S and contingency operations planning. In particular, a unique dynamic operational profile conversion model was developed to realize these capabilities in the combined solution. It is envisaged that the research effort would afford the ease of use, versatility, speed and accuracy required in LSA studies, in order to provide the necessary edge in inventory reparable spares modeling. v Dedication This thesis is dedicated to my Wife and soon to be born Son for their patience and understanding throughout my time at the Air Force Institute of Technology. vi Acknowledgments My most sincere thanks go to my family for their patience and understanding throughout my AFIT experience, but especially for the many endless hours I spent developing this research. Also, I would like to express my gratitude to Dr. Alan Johnson for his valuable guidance, complete trust and autonomy shown to me, without whom I could not have imagined putting this research together in a short span of time. Likewise, I would like to acknowledge my thesis reader, LtCol. (Dr.) Joseph Huscroft, for his frequent and pertinent advice throughout my research and coursework in AFIT. In addition, I wish to acknowledge the friendship and hard work of my fellow logistics management students, who have made my journey this one year all the more meaningful. Finally, I would like to thank my colleagues in both Air Engineering and Logistics Department and Defence Science & Technology Agency who provided the valuable support which I so crucially required in the course of this research.

The Republic of Singapore Air Force (RSAF) conducts Logistics Support Analysis (LSA) studies in v... more The Republic of Singapore Air Force (RSAF) conducts Logistics Support Analysis (LSA) studies in various engineering and logistics efforts on the myriad of air defense weapon systems. In these studies, inventory spares provisioning, availability and sustainability analyses are key focus areas to ensure asset sustenance. In particular, OPUS10, a commercial-off-the-shelf software, is extensively used to conduct reparable spares optimization in acquisition programs. However, it is limited in its ability to conduct availability and sustainability analyses of time-varying operational demands, which are crucial in Operations & Support (O&S) and contingency planning. As the RSAF seeks expansion in its force structure to include more sophisticated weapon systems, the operating environment will become more complex. Agile and responsive logistics solutions are needed to ensure the RSAF engineering community stays abreast and consistently push for deepening competencies, particularly in LSA capabilities. This research is aimed at the development of a model solution that combines spares optimization and sustainability capabilities to meet the dynamic requirements in O&S and contingency operations planning. In particular, a unique dynamic operational profile conversion model was developed to realize these capabilities in the combined solution. It is envisaged that the research effort would afford the ease of use, versatility, speed and accuracy required in LSA studies, in order to provide the necessary edge in inventory reparable spares modeling. v Dedication This thesis is dedicated to my Wife and soon to be born Son for their patience and understanding throughout my time at the Air Force Institute of Technology. vi Acknowledgments My most sincere thanks go to my family for their patience and understanding throughout my AFIT experience, but especially for the many endless hours I spent developing this research. Also, I would like to express my gratitude to Dr. Alan Johnson for his valuable guidance, complete trust and autonomy shown to me, without whom I could not have imagined putting this research together in a short span of time. Likewise, I would like to acknowledge my thesis reader, LtCol. (Dr.) Joseph Huscroft, for his frequent and pertinent advice throughout my research and coursework in AFIT. In addition, I wish to acknowledge the friendship and hard work of my fellow logistics management students, who have made my journey this one year all the more meaningful. Finally, I would like to thank my colleagues in both Air Engineering and Logistics Department and Defence Science & Technology Agency who provided the valuable support which I so crucially required in the course of this research.

The Republic of Singapore Air Force (RSAF) conducts Logistics Support Analysis (LSA) studies in v... more The Republic of Singapore Air Force (RSAF) conducts Logistics Support Analysis (LSA) studies in various engineering and logistics efforts on the myriad of air defense weapon systems. In these studies, inventory spares provisioning, availability and sustainability analyses are key focus areas to ensure asset sustenance. In particular, OPUS10, a commercial-off-the-shelf software, is extensively used to conduct reparable spares optimization in acquisition programs. However, it is limited in its ability to conduct availability and sustainability analyses of time-varying operational demands, which are crucial in Operations & Support (O&S) and contingency planning. As the RSAF seeks expansion in its force structure to include more sophisticated weapon systems, the operating environment will become more complex. Agile and responsive logistics solutions are needed to ensure the RSAF engineering community stays abreast and consistently push for deepening competencies, particularly in LSA capabilities. This research is aimed at the development of a model solution that combines spares optimization and sustainability capabilities to meet the dynamic requirements in O&S and contingency operations planning. In particular, a unique dynamic operational profile conversion model was developed to realize these capabilities in the combined solution. It is envisaged that the research effort would afford the ease of use, versatility, speed and accuracy required in LSA studies, in order to provide the necessary edge in inventory reparable spares modeling. v Dedication This thesis is dedicated to my Wife and soon to be born Son for their patience and understanding throughout my time at the Air Force Institute of Technology. vi Acknowledgments My most sincere thanks go to my family for their patience and understanding throughout my AFIT experience, but especially for the many endless hours I spent developing this research. Also, I would like to express my gratitude to Dr. Alan Johnson for his valuable guidance, complete trust and autonomy shown to me, without whom I could not have imagined putting this research together in a short span of time. Likewise, I would like to acknowledge my thesis reader, LtCol. (Dr.) Joseph Huscroft, for his frequent and pertinent advice throughout my research and coursework in AFIT. In addition, I wish to acknowledge the friendship and hard work of my fellow logistics management students, who have made my journey this one year all the more meaningful. Finally, I would like to thank my colleagues in both Air Engineering and Logistics Department and Defence Science & Technology Agency who provided the valuable support which I so crucially required in the course of this research.

The Republic of Singapore Air Force (RSAF) conducts Logistics Support Analysis (LSA) studies in v... more The Republic of Singapore Air Force (RSAF) conducts Logistics Support Analysis (LSA) studies in various engineering and logistics efforts on the myriad of air defense weapon systems. In these studies, inventory spares provisioning, availability and sustainability analyses are key focus areas to ensure asset sustenance. In particular, OPUS10, a commercial-off-the-shelf software, is extensively used to conduct reparable spares optimization in acquisition programs. However, it is limited in its ability to conduct availability and sustainability analyses of time-varying operational demands, which are crucial in Operations & Support (O&S) and contingency planning. As the RSAF seeks expansion in its force structure to include more sophisticated weapon systems, the operating environment will become more complex. Agile and responsive logistics solutions are needed to ensure the RSAF engineering community stays abreast and consistently push for deepening competencies, particularly in LSA capabilities. This research is aimed at the development of a model solution that combines spares optimization and sustainability capabilities to meet the dynamic requirements in O&S and contingency operations planning. In particular, a unique dynamic operational profile conversion model was developed to realize these capabilities in the combined solution. It is envisaged that the research effort would afford the ease of use, versatility, speed and accuracy required in LSA studies, in order to provide the necessary edge in inventory reparable spares modeling. v Dedication This thesis is dedicated to my Wife and soon to be born Son for their patience and understanding throughout my time at the Air Force Institute of Technology. vi Acknowledgments My most sincere thanks go to my family for their patience and understanding throughout my AFIT experience, but especially for the many endless hours I spent developing this research. Also, I would like to express my gratitude to Dr. Alan Johnson for his valuable guidance, complete trust and autonomy shown to me, without whom I could not have imagined putting this research together in a short span of time. Likewise, I would like to acknowledge my thesis reader, LtCol. (Dr.) Joseph Huscroft, for his frequent and pertinent advice throughout my research and coursework in AFIT. In addition, I wish to acknowledge the friendship and hard work of my fellow logistics management students, who have made my journey this one year all the more meaningful. Finally, I would like to thank my colleagues in both Air Engineering and Logistics Department and Defence Science & Technology Agency who provided the valuable support which I so crucially required in the course of this research.