Engineering Commons^™

Survey Of Lean Management Practices In Pakistani Industrial Sectors, Khurrum Bhutta, Gokhan Egilmez, Kamran Chatha, Faizul Huq

Mechanical and Industrial Engineering Faculty Publications

This research was undertaken to study the implementation and adoption of Lean management practices across several industrial sectors in Pakistan. A total of 100 companies were surveyed across five industries. The objective was to determine if there was disparity in the implementation of Lean practices and to provide a yardstick to measure that disparity. Furthermore, this study identified Lean management best practices across several industries in Pakistan, thus providing benchmarks for other industrial sectors. The data collected was analysed using various descriptive statistical methods. The results indicated robust adoption and implementation of Lean practices in Pakistani industry, though there were …

From Green Buildings To Green Supply Chains: An Integrated Input Output Life Cycle Assessment And Optimization Framework For Carbon Footprint Reduction Policy Making, N. Muhammad Aslaam, Gokhan Egilmez, Murat Kucukvar, M.Khurrum S. Butta

Mechanical and Industrial Engineering Faculty Publications

Purpose: This paper focuses on tracing GHG emissions across the supply chain industries associated with the U.S. residential, commercial and industrial building stock and provides optimized GHG reduction policy plans for sustainable development.

Design/Methodology/Approach: A two-step hierarchical approach is developed. Firstly, Economic Input Output-based Life Cycle Assessment (EIO-LCA) is utilized to quantify the GHG emissions associated with the U.S. residential, commercial and industrial building stock. Secondly, a mixed integer linear programming (MILP) based optimization framework is developed to identify the optimal GHG emissions’ reduction (%) for each industry across the supply chain network of the U.S. economy.

Findings: The results …

Developing Innovation Capability In A Mass Production Organization, Mark Douglas Dolsen

Wayne State University Dissertations

ABSTRACT

DEVELOPING INNOVATION CAPABILITY IN A MASS PRODUCTION ORGANIZATION

by

MARK DOLSEN

May 2017

Advisor: Dr. Ratna Babu Chinnam

Major: Industrial Engineering

Degree: Doctor of Philosophy

Auto parts manufacturing is a key element of the North American automotive supply chain, and a significant component of the economy of Ontario, Canada. Employment in this sector declined 40% from 2003 to 2010 as the industry experienced a recession, and many firms relocated to lower wage jurisdictions as the Canadian currency strengthened against the US dollar. Experts contend that the solution for the industry lies in innovation; however, recommendations found in the current …

Product Development Resilience Through Set-Based Design, Stephen H. Rapp

Wayne State University Dissertations

Often during a system Product Development program external factors or requirements change, forcing system design change. This uncertainty adversely affects program outcome, adding to development time and cost, production cost, and compromise to system performance. We present a development approach that minimizes the impacts, by considering the possibility of changes in the external factors and the implications of mid-course design changes. The approach considers the set of alternative designs and the burdens of a mid-course change from one design to another in determining the relative value of a specific design. The approach considers and plans parallel development of alternative designs …

Evolving Clustering Algorithms And Their Application For Condition Monitoring, Diagnostics, & Prognostics, Fling Finn Tseng

Wayne State University Dissertations

Applications of Condition-Based Maintenance (CBM) technology requires effective yet generic data driven methods capable of carrying out diagnostics and prognostics tasks without detailed domain knowledge and human intervention. Improved system availability, operational safety, and enhanced logistics and supply chain performance could be achieved, with the widespread deployment of CBM, at a lower cost level. This dissertation focuses on the development of a Mutual Information based Recursive Gustafson-Kessel-Like (MIRGKL) clustering algorithm which operates recursively to identify underlying model structure and parameters from stream type data. Inspired by the Evolving Gustafson-Kessel-like Clustering (eGKL) algorithm, we applied the notion of mutual information to …

Assimilation Of Tracking Technology In The Supply Chain, Rahul Basole, Maciek Nowak

Information Systems and Operations Management: Faculty Publications & Other Works

While tracking technology has become increasingly accessible, firms still struggle with deploying these technologies into the supply chain. Using the complementary perspectives of transaction cost and institutional theory, we develop an understanding of how supply network, product, and environmental characteristics jointly impact tracking technology assimilation. We empirically test our model on a global dataset of 535 supply chain executives and decision makers. The results suggest that assimilation is frequently initiated by an external stakeholder in a firm's supply chain and that firms must develop strong collaborative ties with their partners in order to take full advantage of this technology.

Built-In Bicycle Rack For Cars, Scott A. Hansberry

All Undergraduate Projects

Transporting a bicycle after riding somewhere and then needing to be pickup can be problematic. Bicycles will not fit in most vehicles without removing components. There is also the risk of damaging the inside of the vehicle. Expecting everyone to have a bike rack for their vehicle is unrealistic because the bike rack could be considered unappealing visually, take up to much space in the trunk, or limit the vehicle owner’s access to the trunk. The solution to this problem is a bike rack that mounts onto your car and then mounts your bike onto the rack. Most people don’t …

Complex Adaptive Behavior Of Hybrid Teams, Mustafa Canan, Andres Sousa-Poza, Anthony Dean

Engineering Management & Systems Engineering Faculty Publications

The challenges in uncertain, dynamic and complex military operation environments exceed the problem-solving capabilities of individuals. Problem-solving has become a team task. These [hybrid] teams, which typically include machine and human elements, utilize autonomy and artificial intelligence to enhance the quality of actionable information and decision-making capabilities in solving complex problems. For this to be effective, shared mental models must be developed by teams. This demands adaptive behavior of team members to establish a common understanding, and its members to respond to the changes in complex dynamic environments.

In this paper, we introduce a mathematical formalization of an interaction platform …

Creative Confidence In Organizational Knowledge Creation: A Synthesis Of The Literature, Elnaz Dario, Rafael Landaeta, Resit Unal, E.H. Ng. (Ed.), B. Nepal (Ed.), E. Schott (Ed.)

Engineering Management & Systems Engineering Faculty Publications

Creative confidence is a newly rising topic in the innovation study area. In a world where creativity has become a vital source of knowledge creation, not believing in one's own creative capacity could be a barrier. At the organizational level, many good ideas are disappearing before ever being written down or shared. Organizations may lose talented people who have great creative potential by either not giving them the opportunity to express their creative ideas or due to a lack of confidence from the employee side, in sharing these ideas. This paper will contribute to the research stream on the role …

Integrating Idef0 Into A Systems Framework For Statistical Engineering, Teddy Steven Cotter

Engineering Management & Systems Engineering Faculty Publications

Driven by a growing requirement during the 21st century for the integration of rigorous statistical analyses in engineering research, there has been a movement within the statistics and quality communities to evolve a unified statistical engineering body of knowledge (Horel and Snee, 2010; Anderson-Cook, 2012). Outside of the 2014 Statistical Engineering Agreement among the ASQ Statistics Division, DOT&E, NASA, and IDA, there has been little formal progress toward this goal since the May 2011 NASA Symposium on Statistical Engineering in Williamsburg Virginia. In the ASEM-IAC 2012, Cotter (2012) identified the gaps in knowledge that statistical engineering needs to address, explored …

Cockpit In The Systems Engineering Lenses, Aysen K. Taylor, Charles B. Keating, T. Steven Cotter

Engineering Management & Systems Engineering Faculty Publications

The commercial transport aircraft of today vary greatly from early aircraft in regards to how they are controlled and the feedback provided from the machine to the human operator. Automation has improved operational precision and efficiency but at the cost of providing less feedback. Pilots are the last line of defense and current technology cannot provide the human ability to solve novel problems for which no computer logic can be written. The automated cockpits of today have may sub-components that interact in a manner often opaque and unpredictable when a sensor or sub-component fails or even in situations where no …

Improved Multi-Task Learning Based On Local Rademacher Analysis, Niloofar Yousefi

Electronic Theses and Dissertations

Considering a single prediction task at a time is the most commonly paradigm in machine learning practice. This methodology, however, ignores the potentially relevant information that might be available in other related tasks in the same domain. This becomes even more critical where facing the lack of a sufficient amount of data in a prediction task of an individual subject may lead to deteriorated generalization performance. In such cases, learning multiple related tasks together might offer a better performance by allowing tasks to leverage information from each other. Multi-Task Learning (MTL) is a machine learning framework, which learns multiple related …

Optimization Approaches For Electricity Generation Expansion Planning Under Uncertainty, Yiduo Zhan

Electronic Theses and Dissertations

In this dissertation, we study the long-term electricity infrastructure investment planning problems in the electrical power system. These long-term capacity expansion planning problems aim at making the most effective and efficient investment decisions on both thermal and wind power generation units. One of our research focuses are uncertainty modeling in these long-term decision-making problems in power systems, because power systems' infrastructures require a large amount of investments, and need to stay in operation for a long time and accommodate many different scenarios in the future. The uncertainties we are addressing in this dissertation mainly include demands, electricity prices, investment and …

A Framework For Measuring Return On Investment For Healthcare Simulation-Based Training, Hatim Bukhari

Electronic Theses and Dissertations

In the healthcare sector, providing high-quality service in a safe environment for both patient and staff is an obvious and ultimate major objective. Training is an essential component for achieving this important objective. Most organizations acknowledge that employee simulation-based training programs are an important part of the human capital strategy, yet few have effectively succeeded in quantifying the real and precise ROI of this type of investment. Therefore, if the training is perceived as a waste of resources and its ROI is not clearly recognized, it will be the first option to cut when the budget cut is needed. The …

The Complementary Perspective Of System Of Systems In Collaboration, Integration, And Logistics: A Value-Chain Based Paradigm Of Supply Chain Management, Raed Jaradat, Frank Adams, Sawsan Abutabenjeh, Charles Keating

Engineering Management & Systems Engineering Faculty Publications

The importance and complexity of the problems associated with coordinating multiple organizations to configure value propositions for customers has drawn the attention of multiple disciplines. In an effort to clarify and consolidate terms, this conceptual research examines both supply chain management (SCM) and system of systems (SoS) literature to postulate, from a value-chain perspective, what roles integration and collaboration play in helping supply chains satisfy customer requirements. A literature review analysis was used to identify the commonalities and differences between supply chain management and system of systems approaches to examining interfirm coordination of value creation efforts. Although a framework of …

A Systems Theoretic-Based Framework To Discover Pathologies In Acquisition System Governance, Charles B. Keating, Joseph M. Bradley, Polinpapilinho F. Katina, Ra'ed M. Jaradat

Engineering Management & Systems Engineering Faculty Publications

The acquisition field continues to face increasing pressures to perform under conditions of escalating complexity, uncertainty, and ambiguity. These conditions suggest that traditional approaches, practices, and acquisition technologies might be incongruent with support demands for acquisition practitioners. This research is focused on exploiting and extending recent developments in Complex System Governance (CSG) to advance the acquisition field. CSG is focused on the design, execution, and evolution of fundamental system functions necessary for control, communications, coordination, and integration of complex systems (e.g., acquisition). CSG is based in Systems Theory (fundamental laws governing complex systems), Management Cybernetics (the science of effective system …

The Impact Of Requirements Management Documentation On Software Project Outcomes In Health Care, Sujatha Alla, Pilar Pazos, Rolando Delaguila

Engineering Management & Systems Engineering Faculty Publications

Despite considerable time and resources spent on the initiation phase of software projects, discrepancies often exist between formal project documentation, customer requirements, and final project specifications. Such discrepancies in the requirements management process can have a very negative impact on final project outcomes. The Business Requirements Document (BRD) constitutes the formal software requirements documentation, which typically includes stakeholders’ needs and expectations and project scope while providing a clear project roadmap and project plan. According to IEEE standards, a BRD should be a structured document that includes specific elements such as functional and technical requirements while incorporating certain traits such as …

Impact Of A Localized Lean Six Sigma Implementation On Overall Patient Safety And Process Efficiency, Luvianca Gil, Pilar Pazos, Mamadou Seck, Rolando Delaguila

Engineering Management & Systems Engineering Faculty Publications

Continuous quality improvement tools have caught the attention of the Health Care Industry as a solution to process efficiency, patient safety and cost reduction. This research explores the impact of a Lean Six Sigma (LSS) process improvement initiative in overall process efficiency and patient safety in two Labor and Delivery (L+D) units of two large hospital providers. This study focuses on the application of modeling and simulation methodology to investigate the influence of a localized process improvement intervention on the overall L+D unit output, by considering patient flow, system capacity and unit performance. The simulation models capacity profiles and patient …

Managing Cities With Urban Computing, Singapore Management University

Research@SMU: Connecting the Dots

SMU Professors Lau Hoong Chuin and Lim Yun Fong are combining their mathematical, computational and business know-how to address challenges facing the inner-city deliveries of orders and shipments.

See the papers:

• A rolling horizon auction mechanism and virtual pricing of shipping capacity for urban consolidation centers
• Achieving economic and environmental sustainabilities in urban consolidation center with bicriteria auction
• Retail precinct management: A case of commercial decentralization in Singapore

Probabilistic Analysis Of Wear Of Polymer Material Used In Medical Implants, V. Perel, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Probabilistic methods are applied to the study of fatigue wear of sliding surfaces. A variance of time to failure (to occurrence of maximum allowable wear depth) is evaluated as a function of a mean wear rate of normal wear and a size of wear particles. A method of estimating probability of failure-free work during a certain time interval (reliability) is presented. An effect of the bedding-in phase of wear on the reliability is taken into account. Experimental data for Ultra High Molecular Weight Polyethylene (UHMWPE) cups of artificial hip implants is used to make numerical calculations.

Weighting Policies For Robust Unsupervised Ensemble Learning, Ramazan Unlu

Electronic Theses and Dissertations

The unsupervised ensemble learning, or consensus clustering, consists of finding the optimal com- bination strategy of individual partitions that is robust in comparison to the selection of an algorithmic clustering pool. Despite its strong properties, this approach assigns the same weight to the contribution of each clustering to the final solution. We propose a weighting policy for this problem that is based on internal clustering quality measures and compare against other modern approaches. Results on publicly available datasets show that weights can significantly improve the accuracy performance while retaining the robust properties. Since the issue of determining an appropriate number …

Space Utilisation Strategy For Thailand Underground Transit Station. A Case Study Of Thailand Cultural Centre Underground Station, Wirasinee Tongsoo

Chulalongkorn University Theses and Dissertations (Chula ETD)

The ridership of Thailand underground station continuously increases every year. On the other hand, space management of terminal of underground station does not success as expected. The main reason is space does not have strategy to handle. majority of renter rarely stay until the completion of the rental contract, and they prefer to break the contract, pay the fine and move business elsewhere. According to research, there is no research study about this for Thailand underground station. In order to create appreciate plan for Thailand underground station in 2022. The strategy is core to integrate plan. Passengers would be attracted …

Monopile Foundation Offshore Wind Turbine Simulation And Retrofitting, William A. Schaffer

Electronic Theses and Dissertations

Offshore wind turbines (OWT) provide a renewable source of energy with great proximity to many large cities. This has caused a major increase in OWT development and implementation, primarily in Europe, but spreading throughout the world. There are a multitude of different foundation options, each with their own benefits. The most common types are: monopile, jacket, TLP, Semi-Submersible, and SPAR. The monopile foundation OWT has been proven to be the most economic selection for water depths up to approximately 25m. This thesis has analyzed strictly monopile foundations due to their previous success and popularity. Three different chapters have been created …

Approachiing Complex Problematical Situations In Management Of Learning, Teaching And Assessment With Soft Systems Thinking - An Instantiation Of The Fma Model For Research, Xiaoping Shen, Junkang Feng

Journal of International Technology and Information Management

Higher education in China has moved into a popularized and international stage, which makes the management of Learning, Teaching and Assessment (LTA) challenging and sometimes problematic. However, research into its theory and practice is sparse and in demand. This paper explores how to approach complex problematic situations in LTA management with soft systems thinking, which embodies a phenomenological investigation, at the Business College of the Beijing Union University (BCBUU) China with our instantiation of Checkland’s FMA model of Research. Through this substantial study of seven years we made sense of and improved the problematic situation and one tangible result is …

Models For The Residual Life Of Railroad Bearing Grease In Laboratory And Industry Applications, Douglas Timmer, Constantine Tarawneh, Robert Jones

Manufacturing & Industrial Engineering Faculty Publications

Adequate lubrication in railroad bearings is crucial to the safe operation of these components. An investigation of the residual life of railroad bearing grease was conducted in a laboratory setting. The data was collected using a split-split-plot design of experiments. The Oxidation Induction Time (OIT), which is the time required for the remaining antioxidants in a sample of grease to be consumed in a test, is the response variable for this study. Low values of OIT indicate small remaining amounts of antioxidants in the grease and thus small remaining residual life in the grease. OIT measurements were made using differential …

Condition Assessment Of End-Of-Use Products For Remanufacturing, Jovan Morgan

Research Opportunities for Engineering Undergraduates (ROEU) Program 2016-17

The goal of the project is to use the automated 3-D laser scanner using a Capnut as a test object to detect surface defects, corrosion and calculation error through offline quality inspection. potentially reducing labor time and cost for both consumers and manufacturers.

Reusable Medical Equipment Inventory Assessment At A Detroit Medical Center, Tannaz Khaleghi

Wayne State University Theses

In recent years an outstanding growth has been observed in utilizing various medical devices due to growing demand. When both the quantity and quality into account, the price of medical devices becomes a critical factor to maintain cost/profit balances in financial systems. As a result healthcare systems should put more emphasis on how many of the trays they buy and store as their inventory due to high costs. Adequate levels of reusable medical equipment (RME) inventory is crucial for many healthcare systems

due to the RME equipment being expensive. On the other, the RME availability for vital departments such as …

The Long Term Effects Of An Aging Fleet On Operational Availability And Cost: Evidence From The Us Coast Guard, Christopher W. Lavin, Robert M. Mcnab, Ryan S. Sullivan

Economics Faculty Publications

This paper empirically examines whether the aging of a fleet affects operational availability and operating cost using a unique data-set on the 117 47-foot Motor Lifeboats (MLBs) of the United States Coast Guard (USCG). Procured from 1997 to 2003, the 47-foot MLB is the standard lifeboat of the USCG and all 117 MLBs remain in service. The aging of the MLB fleet has resulted in higher annual operating costs and lower operational availability, although the nature of this relationship remains unclear. Our estimation strategy utilizes an error components estimator to examine these issues. We employ three variants of the dependent …

Conceptual Design Process Improvement For Drainage Systemusing Project Management, Wantanee Kongpanya

Chulalongkorn University Theses and Dissertations (Chula ETD)

The major concern in the architecture, engineering, and construction (AEC) industry is time, cost, and quality. The design for industrial building project usually complex, particularly in a field of mechanical and piping process due to the large involvement of project stakeholders. The case company, which is the specialist supplier of industrial piping solution in Thailand, reported the issue of redesigns regarding to their poor project management of conceptual design process in construction project that effect to their work performance and customer satisfaction. Thus, the purpose of this study was to improve the process of conceptual design using project management concept …

A New Reinforcement Learning Algorithm With Fixed Exploration For Semi-Markov Decision Processes, Angelo Michael Encapera

Masters Theses

"Artificial intelligence or machine learning techniques are currently being widely applied for solving problems within the field of data analytics. This work presents and demonstrates the use of a new machine learning algorithm for solving semi-Markov decision processes (SMDPs). SMDPs are encountered in the domain of Reinforcement Learning to solve control problems in discrete-event systems. The new algorithm developed here is called iSMART, an acronym for imaging Semi-Markov Average Reward Technique. The algorithm uses a constant exploration rate, unlike its precursor R-SMART, which required exploration decay. The major difference between R-SMART and iSMART is that the latter uses, in addition …