Papers by Charalambos Marangos
ABSTRACT Thesis (Ph. D.)--Lehigh University, 2003. Includes bibliographical references (leaves 15... more ABSTRACT Thesis (Ph. D.)--Lehigh University, 2003. Includes bibliographical references (leaves 150-154). Includes vita.
Supply Chain Management, Aug 14, 2007
Purpose-The purpose of this paper is to propose a tool, the Agile Supply Chain Transformation Mat... more Purpose-The purpose of this paper is to propose a tool, the Agile Supply Chain Transformation Matrix (ASCTM), and the implementation methodology for a systematic approach to achieve agility in the supplier-buyer supply chain. Design/methodology/approach-The conceptual framework for agile capability creation is developed based on literatures in the supply chain management and manufacturing agility field and the ASCTM tool is constructed using the quality function deployment (QFD) and the analytic hierarchy process (AHP) technique. The implementation methodology including the tools to support the implementation of the ASCTM tool are developed based on the QFD/AHP approach and the agility concepts established through the Agility Program at Lehigh University. A practical case study is used to illustrate the applicability of the ASCTM tool. Findings-This tool can help companies create and improve their agility by relating the business changes with the appropriate approaches for supplier-buyer supply chain configuration and supplier-buyer relationship establishment and determine the business processes and the infrastructures needed to support the creation of agile capability. Research limitations/implications-The ASCTM tool constitutes an important effort to bridge the gap between theory and practice as it is used to achieve supply chain agility in practice. Additional case studies need to be conducted to validate the practicability of the ASCTM tool. Originality/value-The ASCTM tool is developed with the aim to help companies identify the most appropriate way to improve their supply chain agility by contrasting the environmental dynamics and changes to the company's ability to keep pace using the systematic approach. This tool is necessary because different companies experience different sets of changes and require different degree of agility and combination of strategies and practices to achieve agility. For practitioners, the ASCTM tool provides a basis for assessing their business situations and a guideline for identifying capability required for creating/improving supply chain agility.
The objective of this paper is to describe the design, implementation and utilization of the Adva... more The objective of this paper is to describe the design, implementation and utilization of the Advanced Analytics Laboratory within the Enterprise Systems Center (ESC) at Lehigh University. This new capability is supported by many industry partners and Lehigh alumni, and has received needed resources and encouragement from the SAS Institute. The Laboratory has facilitated additional company partnerships and provided significantly enhanced project-based learning experiences for undergraduate and graduate students. This paper includes examples that describe how Lehigh's Industrial and Systems Engineering Department works in cooperation with the Advanced Analytics Laboratory to incorporate real-world project learning within the curriculum.
problem as an ILP was invaluable. His steadfast su~por; and / direction during the time of the au... more problem as an ILP was invaluable. His steadfast su~por; and / direction during the time of the author's study lS much appreciated. Thanks go to Dr. John W. Adams and Dr. Robert H. storer for their insights to the mathematical structure of the problem. I would like to thank Off icer Robert Haffner for assisting me in the constraint definition phase of the problem, and for constantly keeping me on my toes with my work by inquir ing about my progress during any time around the clock. Many thanks to my colleagues Laura Louise Lansing and Yesim Erke for their insights into the problem and their constant moral support. I thank Margaret •P. Church for sharing her knowledge with me about the psychological effects of scheduling. Last, but not least, I thank my parents for their continuous moral support.
Computers & Industrial Engineering, Oct 1, 1998
This paper presents algorithms to minimize the variance of completion time (CTV) when n jobs have... more This paper presents algorithms to minimize the variance of completion time (CTV) when n jobs have to be processed on two machines. All the jobs visit the machines in the same order or technological sequence. These algorithms are applicable in manufacturing systems where both the facilities could be within the factory or situations where one facility represents the bottleneck machine within the shop floor while the other represents the subcontractor facility. The problem is also applicable in file handling systems where two individuals have to process files in a fixed sequence. The paper presents heuristic algorithms that identify the sequence of jobs that minimizes completion time variance. The solutions are compared with a lower bound and are found to give results in the range of 5-10% deviation from the lower bound. In addition, the simulated annealing algorithm developed in this paper gives the optimum solution for all the problems tested up to 11 jobs.
The objective of this paper is to describe the design, implementation and utilization of the Adva... more The objective of this paper is to describe the design, implementation and utilization of the Advanced Analytics Laboratory within the Enterprise Systems Center (ESC) at Lehigh University. This new capability is supported by many industry partners and Lehigh alumni, and has received needed resources and encouragement from the SAS Institute. The Laboratory has facilitated additional company partnerships and provided significantly enhanced project-based learning experiences for undergraduate and graduate students. This paper includes examples that describe how Lehigh’s Industrial and Systems Engineering Department works in cooperation with the Advanced Analytics Laboratory to incorporate real-world project learning within the curriculum. The physical facilities of the Advanced Analytics Laboratory have three major components. One is an open concept Analytics Research and Industry Project Work Area where all levels of participants freely interact. The second is a Project Work Station an...
Computers have a prominent, often controlling role throughout the life cycle of engineering produ... more Computers have a prominent, often controlling role throughout the life cycle of engineering products and manufacturing processes. Their role is vital as global competitive pressures call for improvements in product performance and quality coupled with significant reductions in product design, development, and manufacturing timetables. Design engineers vastly improve their work productivity using computers. For example, performance of a product or process can be evaluated prior to fabricating a prototype using appropriate simulation software. Computer-aided design (CAD) uses the mathematical and graphic processing power of the computer to assist the engineer in the creation, modification, analysis, and display of designs. Many factors have contributed to CAD technology being a necessary tool in the engineering
This article outlines a strategic approach for applying data mining methodologies to maintenance ... more This article outlines a strategic approach for applying data mining methodologies to maintenance operations at a transportation services agency, but it is transferable to other organizations. The article is a case study that shows how advanced software and emerging analytics techniques, including data modeling and data mining, can analyze and transform current and historical data into insights to guide decision-making in maintenance operations and related areas. It includes strategic development and how data mining tools were used to identify opportunities and pinpoint specific job characteristics or best practices most likely to improve performance and reduce cost.
Under today’s volatile business environment, companies are reaching the point where they need to ... more Under today’s volatile business environment, companies are reaching the point where they need to be more agile – intelligent, fast, flexible, and responsive to changes. Leveraging supplier-buyer relationships to create agile supply chains is one of the strategies that can help companies make a successful transition to an agile enterprise. Under this new paradigm shift, companies need a new set of tools and methodologies to dynamically choose suppliers in order to maintain their competitive advantage. The goal of this research is to address this need by developing a comprehensive framework for evaluating suppliers’ agile performance. Two new sets of metrics, “change response proficiency” and “Agility intangible infrastructure,” are introduced. The first one addresses the ability of suppliers to respond to each specific change by considering the balance point across four dimensions, which are time, cost, robustness and scope. The second one addresses the organizational skills, informa...
Thesis (Ph. D.)--Lehigh University, 2003. Includes bibliographical references (leaves 150-154). I... more Thesis (Ph. D.)--Lehigh University, 2003. Includes bibliographical references (leaves 150-154). Includes vita.
Thesis (M.S.)--Lehigh University, 1993. Includes bibliographical references (leaves 69-72). Inclu... more Thesis (M.S.)--Lehigh University, 1993. Includes bibliographical references (leaves 69-72). Includes vita. Microfilm. s
Mechanical Engineers' Handbook, 2015
Computer-aided design (CAD) uses the mathematical and graphic processing power of the computer to... more Computer-aided design (CAD) uses the mathematical and graphic processing power of the computer to assist the engineer in the creation, modification, analysis, display of designs. This chapter commences with a discussion on the design process of CAD in general. Then, it talks about individual tasks within the overall design process that can be performed using a computer. The computer is especially well suited to design in four areas, which correspond to the latter four stages of the general design process. Computers function in the design process through geometric modeling capabilities, engineering analysis calculations, automated evaluative procedures, and automated drafting. There are various analytical methods available to the designer using a CAD system, such as finite-element analysis (FEA), static and dynamic analysis, and kinematic analysis. Input and output devices, CAD software, CAD standards and translators, and applications of CAD are also discussed. Keywords: automated drafting; automated evaluative procedures; collaborative product design; computer-aided design (CAD); engineering analysis calculations; geometric modeling capabilities
Supply Chain Management: An International Journal, 2007
PurposeThe purpose of this paper is to propose a tool, the Agile Supply Chain Transformation Matr... more PurposeThe purpose of this paper is to propose a tool, the Agile Supply Chain Transformation Matrix (ASCTM), and the implementation methodology for a systematic approach to achieve agility in the supplier‐buyer supply chain.Design/methodology/approachThe conceptual framework for agile capability creation is developed based on literatures in the supply chain management and manufacturing agility field and the ASCTM tool is constructed using the quality function deployment (QFD) and the analytic hierarchy process (AHP) technique. The implementation methodology including the tools to support the implementation of the ASCTM tool are developed based on the QFD/AHP approach and the agility concepts established through the Agility Program at Lehigh University. A practical case study is used to illustrate the applicability of the ASCTM tool.FindingsThis tool can help companies create and improve their agility by relating the business changes with the appropriate approaches for supplier‐buyer...
International Journal of Value Chain Management, 2007
Under today's volatile business environment, companies are reaching the point where they need to ... more Under today's volatile business environment, companies are reaching the point where they need to be more agile-intelligent, fast, flexible, and responsive to changes. Leveraging supplier-buyer relationship to create an agile supply chain is one of the strategies that can help companies make a successful transition to an agile enterprise. Here we introduce a model that can be used to successfully transform a business: the Agile Supply Chain Transformation Matrix (ASCTM), a tool based on the Quality Function Deployment (QFD), and the Analytic Hierarchy Process (AHP). More specifically, we have created a tool that can relate the business changes with the appropriate approaches for supply chain configuration and supplier-buyer relationship establishment and determine the business processes and the infrastructures needed to support agility. This tool is built upon the concepts developed through the Agility Program at Lehigh University in partnership with company project sponsors and the Commonwealth of Pennsylvania Department of Community and Economic Development..
Computers & Industrial Engineering, 1998
This paper presents algorithms to minimize the variance of completion time (CTV) when n jobs have... more This paper presents algorithms to minimize the variance of completion time (CTV) when n jobs have to be processed on two machines. All the jobs visit the machines in the same order or technological sequence. These algorithms are applicable in manufacturing systems where both the facilities could be within the factory or situations where one facility represents the bottleneck machine within the shop floor while the other represents the subcontractor facility. The problem is also applicable in file handling systems where two individuals have to process files in a fixed sequence. The paper presents heuristic algorithms that identify the sequence of jobs that minimizes completion time variance. The solutions are compared with a lower bound and are found to give results in the range of 5-10% deviation from the lower bound. In addition, the simulated annealing algorithm developed in this paper gives the optimum solution for all the problems tested up to 11 jobs.
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Papers by Charalambos Marangos