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Title: Quantitative methodology and applications in measuring supply chain complexity.
Creator: Morgan, Courtney Luke, Sr., Florida Atlantic University, Han, Chingping (Jim), College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Abstract/Description: The study of this paper on entropy-based methodology for measuring and analyzing the material and information complexity across organizational interfaces within a logistical framework material and Information flows within the supply chain are often complex. The complexity analysis described in this paper can be used to highlight several issues that are critical to effective supply chain management, and for internal control. My methodology is based on the understanding that the level of...
Show moreThe study of this paper on entropy-based methodology for measuring and analyzing the material and information complexity across organizational interfaces within a logistical framework material and Information flows within the supply chain are often complex. The complexity analysis described in this paper can be used to highlight several issues that are critical to effective supply chain management, and for internal control. My methodology is based on the understanding that the level of control and predictability, as well as the dynamic characteristics and static of the flows contribute to the overall level of complexity within the supply chain. This study demonstrated that supply chain complexity is realistically understood, carefully and accurately assessed it can be used to monitor and effectively control the performance of the entire supply chain and delivery system. At the supply chain interface, the methodology can provide quantitative insights into the transfer of complexity along the supply chain.
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Date Issued: 2002
PURL: http://purl.flvc.org/fcla/dt/12938
Subject Headings: Business logistics, Entropy (Information theory)
Format: Document (PDF)

Title: AN OPTIMIZATION MODEL FOR DETERMINING THE FLEET SIZE FOR A ROBOT-SHARING SYSTEM.
Creator: Tabassum, Anika, Kaisar, Evangelos I., Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Different innovative concepts are aiming to improve last-mile urban logistics and reduce traffic congestion. Congested metropolitan cities are implementing last-mile delivery robots to make the delivery cheaper and faster. A key factor for the success of Automated Delivery Robots (ADRs) in the last-mile is its ability to meet the fluctuating demand for robots at each micro-hub. Delivery companies rent robots from micro-hubs scattered around the city, use them for deliveries, and return them...
Show moreDifferent innovative concepts are aiming to improve last-mile urban logistics and reduce traffic congestion. Congested metropolitan cities are implementing last-mile delivery robots to make the delivery cheaper and faster. A key factor for the success of Automated Delivery Robots (ADRs) in the last-mile is its ability to meet the fluctuating demand for robots at each micro-hub. Delivery companies rent robots from micro-hubs scattered around the city, use them for deliveries, and return them at micro-hubs. This paper studies the dynamic assignment of the robots to satisfy their demands between the micro-hubs. A Mixed-Integer Linear Programming (MILP) model is developed, which minimizes the total transportation costs by determining the optimum required fleet size. The result determines the number of robots required for each planning period to meet all the demands. It provides algorithms to operate and schedule the robot-sharing system in the last leg of the delivery in dense urban areas.
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Date Issued: 2021
PURL: http://purl.flvc.org/fau/fd/FA00013701
Subject Headings: Intelligent transportation systems, Robotics, Logistics
Format: Document (PDF)

Title: Multiple-period supply chain contract modeling with dynamic stochastic and price-elastic demand.
Creator: Gu, Qian-nong., Florida Atlantic University, Han, Chingping (Jim), College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Abstract/Description: In this study we developed a supply chain contract model for multiple scheduling period with dynamic demand patterns of stochastic nature, and with elastic price structures. The model presented here combined and enhanced several supply chain contract models developed previously. It is unique in that it considered multiple periods, dynamic, stochastic and price-elastic demand patterns, and flexible order quantities. Using a linear demand price-elastic relation and normal distribution pattern,...
Show moreIn this study we developed a supply chain contract model for multiple scheduling period with dynamic demand patterns of stochastic nature, and with elastic price structures. The model presented here combined and enhanced several supply chain contract models developed previously. It is unique in that it considered multiple periods, dynamic, stochastic and price-elastic demand patterns, and flexible order quantities. Using a linear demand price-elastic relation and normal distribution pattern, optimal solutions for minimum cost, maximum profit, price structure, and order policies for the entire supply chain were derived. Sensitivity analyses performed in this study gave a better understanding of relative importance of various system variables.
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Date Issued: 2001
PURL: http://purl.flvc.org/fcla/dt/11964
Subject Headings: Stochastic processes, Elasticity (Economics), Business logistics
Format: Document (PDF)

Title: A Mathematical Model for Optimizing Mini-Hub Locations of Distribution Centers in Urban Areas.
Creator: Charisis, Anastasios, Kaisar, Evangelos I., Florida Atlantic University, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description: Logistics play a vital role in the prosperity of today’s cities, but current urban logistics delivery practices have proven problematic and to be causing various negative effects in cities. This study proposes an alternative method for delivering cargo with the leasing of a network of logistics hubs within urban areas for designated daily time intervals and handcart last-mile deliveries. The objective of the study is the development of a mathematical programming model for identifying the...
Show moreLogistics play a vital role in the prosperity of today’s cities, but current urban logistics delivery practices have proven problematic and to be causing various negative effects in cities. This study proposes an alternative method for delivering cargo with the leasing of a network of logistics hubs within urban areas for designated daily time intervals and handcart last-mile deliveries. The objective of the study is the development of a mathematical programming model for identifying the optimal number and locations of hubs for serving demand with the minimum cost, as well as the optimal times during the day for leasing the facilities, while also allocating hubs to customers. The problem is effectively solved by applying a Lagrangian relaxation and subgradient optimization approach. Numerical examples and a sensitivity analysis provide evidence of the robustness of the model and its ability to be effectively applied to address real problems.
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Date Issued: 2018
PURL: http://purl.flvc.org/fau/fd/FA00013129
Subject Headings: Logistics--Mathematical models, Logistics, Distribution centers, Urban areas, Lagrangian functions
Format: Document (PDF)

Title: Task Specialization In The Public Administration Profession: A Job Analysis Of Public Procurement Practitioners.
Creator: Steinfeld, Joshua M., McCue, Clifford P., Florida Atlantic University, College for Design and Social Inquiry, School of Public Administration
Abstract/Description: This dissertation examines task specialization in the public administration profession through studying the job tasks that a public procurement practitioner performs, manages, and both performs and manages. The purpose of this dissertation was to establish a baseline to benchmark what these practitioners actually do on their jobs. Factor analysis was used to study a data set of 2,549 respondents that were administered a survey by the Universal Public Procurement Certification Council (UPPCC)...
Show moreThis dissertation examines task specialization in the public administration profession through studying the job tasks that a public procurement practitioner performs, manages, and both performs and manages. The purpose of this dissertation was to establish a baseline to benchmark what these practitioners actually do on their jobs. Factor analysis was used to study a data set of 2,549 respondents that were administered a survey by the Universal Public Procurement Certification Council (UPPCC) in 2012. The research question to be answered involved addressing what job tasks public procurement practitioners perform, manage, and both perform and manage. Hypotheses were examined that predicted task specialization existing within public procurement to the extent that practitioners in more senior job positions display more task specialization and that practitioners from larger organizations also display more task specialization. A review of literature discusses the alternative perspectives on what constitutes professionalism in the public sector. The reasons for focusing on public procurement professionalism were subsequently presented through the literature. The various views of what entails professionalism in public administration were discussed as to responsibility (Stivers, 1994), sociological issues (Simon, 1947), constitutional issues (Lowi, 1995; Rohr, 1986), technical specialization and empirical rigor (Parsons, 1939), as means of contextualizing the nature of public administrators’ roles and responsibilities in conjunction with the job tasks that are executed. Factor analysis was conducted on 75 job tasks in order to identify relationships between practitioner job tasks for the purposes of finding out what it is that public procurement practitioners actually do for their work. The job tasks found to share relationships may be grouped together for further inquiry into the nature of the relationships between job tasks and overarching competency areas of related job tasks. Additionally, factor analyses were conducted to identify relationships between job tasks in public procurement and control variables such as organization size and job position, which were predicted to impact whether or not practitioners perform, manage, both perform and manage, or do neither, for each of the job tasks surveyed.
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Date Issued: 2016
PURL: http://purl.flvc.org/fau/fd/FA00004748, http://purl.flvc.org/fau/fd/FA00004748
Subject Headings: Public administration., Business logistics--Management., Applied ethics., Professional ethics.
Format: Document (PDF)

Title: Predictive discriminant analysis versus logistic regression for two-group classification problems in educational settings.
Creator: Meshbane, Alice., Florida Atlantic University, Morris, John D.
Abstract/Description: The cross-validated classification accuracy of predictive discriminant analysis (PDA) and logistic regression (LR) models was compared for the two-group classification problem. Thirty-four real data sets varying in number of cases, number of predictor variables, degree of group separation, relative group size, and equality of group covariance matrices were employed for the comparison. PDA models were built based on assumptions of multivariate normality and equal covariance matrices, and cases...
Show moreThe cross-validated classification accuracy of predictive discriminant analysis (PDA) and logistic regression (LR) models was compared for the two-group classification problem. Thirty-four real data sets varying in number of cases, number of predictor variables, degree of group separation, relative group size, and equality of group covariance matrices were employed for the comparison. PDA models were built based on assumptions of multivariate normality and equal covariance matrices, and cases were classified using Tatsuoka's (1988, p. 351) minimum chi square rule. LR models were built using the International Mathematical and Statistical Library (IMSL) subroutine Categorical Generalized Linear Model (CTGLM), available with the 32-bit Microsoft Fortran v4.0 Powerstation. CTGLM uses a nonlinear approximation technique (Newton-Raphson) to determine maximum likelihood estimates of model parameters. The group with the higher log-likelihood probability was used as the LR prediction. Cross-validated hit-rate accuracy of PDA and LR models was estimated using the leave-one-out procedure. McNemar's (1947) statistic for correlated proportions was used in the statistical comparisons of PDA and LR hit rate estimates for separate-group and total-sample proportions (z = 2.58, a =.01). Total-sample and separate-group cross-validated classification accuracy obtained by PDA was not significantly different from that obtained by LR in any of the 31 data sets for which maximum likelihood estimates of LR model parameters could be calculated. This was true regardless of assumptions made about population sizes (i.e., equal or unequal). Neither theoretical nor data-based considerations were helpful in predicting these results. Although it does not appear from these data to make a difference which classification model is used, use of the method described in this study for comparing PDA and LR models will enable researchers to select the optimal classification model for a specific data set, regardless of data conditions.
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Date Issued: 1996
PURL: http://purl.flvc.org/fcla/dt/12461
Subject Headings: Discriminant analysis, Regression analysis, Logistic distribution, Education, Higher--Research
Format: Document (PDF)

Title: Optimizing Investments in Apparel Supply Chains: A Decision Model for Country Selection.
Creator: Kra, Jason E., Menachof, David, Florida Atlantic University, Department of Information Technology and Operations Management, College of Business
Abstract/Description: Supply chain challenges have been significantly affected by both demand and supply on a global level. The selection of manufacturing countries has become critical to firms and their boards, even more so coming out of the COVID-19 global pandemic. The present study focuses on how firms select countries and regions to de-risk future global apparel sourcing, as countries that have been dependable in the past may not be in the future based on frequent environmental jolts, legacy supply chain...
Show moreSupply chain challenges have been significantly affected by both demand and supply on a global level. The selection of manufacturing countries has become critical to firms and their boards, even more so coming out of the COVID-19 global pandemic. The present study focuses on how firms select countries and regions to de-risk future global apparel sourcing, as countries that have been dependable in the past may not be in the future based on frequent environmental jolts, legacy supply chain failures, shifting government policy, and extreme volatility. The result of this study is a decision model for manufacturing country selection. This research was focused on the apparel industry; however, further research may indicate that it is applicable to other industries. A group of criteria was selected, the relative significance of these criterion was determined using the Analytical Hierarchy Process (AHP). The AHP methodology was applied in a case study as a decision-making tool to enable decision-makers to assess the most suitable countries for manufacturing country selection. The result of this study is a decision model for manufacturing country selection based on multiple criteria weighted by industry experts using Analytical Hierarchy Process (AHP). In developing the model we utilize data from 61 countries representing over 95% of all the global apparel exports, with criteria utilized originating from 10 indices.
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Date Issued: 2023
PURL: http://purl.flvc.org/fau/fd/FA00014226
Subject Headings: Supply chain management, Business logistics, Decision making, Contracting out
Format: Document (PDF)

Title: Communication and interactivity in B2B relationships.
Creator: Murphy, Micah, Sashi, C. M., College of Business, Department of Marketing
Abstract/Description: This research explores the impact of interactive communication on business-to business (B2B) relationships. In the past decade the internet and especially social media as a mode of communication has grown rapidly in both consumer and business markets. Drawing on marketing channels and communications literature this paper identifies the dimensions of interactive communication and develops a theoretical framework to examine their impact on satisfaction, commitment, and advocacy. Media...
Show moreThis research explores the impact of interactive communication on business-to business (B2B) relationships. In the past decade the internet and especially social media as a mode of communication has grown rapidly in both consumer and business markets. Drawing on marketing channels and communications literature this paper identifies the dimensions of interactive communication and develops a theoretical framework to examine their impact on satisfaction, commitment, and advocacy. Media synchronicity theory and the concept of the internet as an alternative to the real world are used to distinguish between digital and non-digital modes of communication. Relationship marketing is used to identify the dimensions of interactivity: rationality, social interaction, contact density, and reciprocal feedback. The framework developed is usedto explore the influence of face-to-face (F2F), digital, and traditional, impersonalcommunications on the dimensions of interactivity.Hypotheses linking the mode of communication: personal, digital, and impersonal with the dimensions of interactivity and relational outcomes are empirically examined with data from the commercial printing and graphic design industry. Confirmatory Factor Analysis is used to analyze the measurement and structural model. Personal, F2F communication has the greatest impact on social interaction, reciprocal feedback, and number of contacts. Digital communication has a weaker effect on these dimensions and impersonal communication has the weakest effect. Personal and Digital have equal impacts on rationality and rationality is the only dimension of interactivity positively associated with relationship satisfaction. Contact density has a negative impact on relationship satisfaction and this negative impact is greater with personal communication that it is with digital. The study shows that affective commitment leads to advocacy in a B2B channel, but trust and calculative commitment have no impact on advocacy. The findings of the study have implications for both managers and researchers regarding the mode and content of communications in B2B relationships.
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Date Issued: 2013
PURL: http://purl.flvc.org/fau/fd/FA0004040
Subject Headings: Business logistics -- Management, Customer relations, Marketing -- Social aspects, Sales management, Web services -- Management
Format: Document (PDF)

Title: A systematic evaluation of object detection and recognition approaches with context capabilities.
Creator: Giusti Urbina, Rafael J., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Contemporary computer vision solutions to the problem of object detection aim at incorporating contextual information into the process. This thesis proposes a systematic evaluation of the usefulness of incorporating knowledge about the geometric context of a scene into a baseline object detection algorithm based on local features. This research extends publicly available MATLABRª implementations of leading algorithms in the field and integrates them in a coherent and extensible way....
Show moreContemporary computer vision solutions to the problem of object detection aim at incorporating contextual information into the process. This thesis proposes a systematic evaluation of the usefulness of incorporating knowledge about the geometric context of a scene into a baseline object detection algorithm based on local features. This research extends publicly available MATLABRª implementations of leading algorithms in the field and integrates them in a coherent and extensible way. Experiments are presented to compare the performance and accuracy between baseline and context-based detectors, using images from the recently published SUN09 dataset. Experimental results demonstrate that adding contextual information about the geometry of the scene improves the detector performance over the baseline case in 50% of the tested cases.
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Date Issued: 2011
PURL: http://purl.flvc.org/FAU/3183127
Subject Headings: Imaging systems, Mathematical models, Cognitive science, Optical pattern recognition, Computer vision, Logistic regression analysis
Format: Document (PDF)

Title: Modeling and analysis of global collaborative outsourcing manufacturing systems (GCOM) using Monte Carlo simulation.
Creator: Srinuwattiwong, Prapoj., Florida Atlantic University, Han, Chingping (Jim), College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Abstract/Description: Our research establishes the platform and modeling for the new trend in today's Global Supply Chain Management Systems (GCOM). The framework consists of various practical policies with respect to booking units, reserve-price, and the preservation of relationship between the outsourcing organization and their contract manufacturers. Mathematical models have been studied and reconciled to constitute the most suitable expression. Monte Carlo Simulation is chosen to describe the outsourcing's...
Show moreOur research establishes the platform and modeling for the new trend in today's Global Supply Chain Management Systems (GCOM). The framework consists of various practical policies with respect to booking units, reserve-price, and the preservation of relationship between the outsourcing organization and their contract manufacturers. Mathematical models have been studied and reconciled to constitute the most suitable expression. Monte Carlo Simulation is chosen to describe the outsourcing's phenomena under our given conditions. The study path may be useful for both SCM's analyst and any global organization looking for the offshore outsourcing in order to establish the optimal point in reserving the production's capacity with the cognition in today's fluctuated global demand and currency exchange rate.
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Date Issued: 2002
PURL: http://purl.flvc.org/fcla/dt/12018
Subject Headings: Offshore assembly industry, Monte Carlo method, Business logistics, Physical distribution of goods--Management
Format: Document (PDF)

Title: Modeling strategic resource allocation in probabilistic global supply chain system with genetic algorithm.
Creator: Damrongwongsiri, Montri., Florida Atlantic University, Han, Chingping (Jim), College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Effective and efficient supply chain management is essential for domestic and global organizations to compete successfully in the international market. Superior inventory control policies and product distribution strategies along with advanced information technology enable an organization to collaborate distribution and allocation of inventory to gain a competitive advantage in the world market. Our research establishes the strategic resource allocation model to capture and encapsulate the...
Show moreEffective and efficient supply chain management is essential for domestic and global organizations to compete successfully in the international market. Superior inventory control policies and product distribution strategies along with advanced information technology enable an organization to collaborate distribution and allocation of inventory to gain a competitive advantage in the world market. Our research establishes the strategic resource allocation model to capture and encapsulate the complexity of the modern global supply chain management problem. A mathematical model was constructed to depict the stochastic, multiple-period, two-echelon inventory with the many-to-many demand-supplier network problem. The model simultaneously constitutes the uncertainties of inventory control and transportation parameters as well as the varying price factors. A genetic algorithm (GA) was applied to derive optimal solutions through a two-stage optimization process. Practical examples and solutions from three sourcing strategies (single sourcing, multiple sourcing, and dedicated system) were included to illustrate the GA based solution procedure. Our model can be utilized as a collaborative supply chain strategic planning tool to efficiently determine the appropriate inventory allocation and a dynamic decision making process to effectively manage the distribution plan.
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Date Issued: 2003
PURL: http://purl.flvc.org/fcla/dt/12056
Subject Headings: Business logistics--Mathematical models, Physical distribution of goods--Management, Inventory control--Mathematical models, Genetic algorithms
Format: Document (PDF)

Title: Evolving Legacy Software Systems with a Resource and Performance-Sensitive Autonomic Interaction Manager.
Creator: Mulcahy, James J., Huang, Shihong, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Retaining business value in a legacy commercial enterprise resource planning system today often entails more than just maintaining the software to preserve existing functionality. This type of system tends to represent a significant capital investment that may not be easily scrapped, replaced, or re-engineered without considerable expense. A legacy system may need to be frequently extended to impart new behavior as stakeholder business goals and technical requirements evolve. Legacy ERP...
Show moreRetaining business value in a legacy commercial enterprise resource planning system today often entails more than just maintaining the software to preserve existing functionality. This type of system tends to represent a significant capital investment that may not be easily scrapped, replaced, or re-engineered without considerable expense. A legacy system may need to be frequently extended to impart new behavior as stakeholder business goals and technical requirements evolve. Legacy ERP systems are growing in prevalence and are both expensive to maintain and risky to evolve. Humans are the driving factor behind the expense, from the engineering costs associated with evolving these types of systems to the labor costs required to operate the result. Autonomic computing is one approach that addresses these challenges by imparting self-adaptive behavior into the evolved system. The contribution of this dissertation aims to add to the body of knowledge in software engineering some insight and best practices for development approaches that are normally hidden from academia by the competitive nature of the retail industry. We present a formal architectural pattern that describes an asynchronous, low-complexity, and autonomic approach. We validate the pattern with two real-world commercial case studies and a reengineering simulation to demonstrate that the pattern is repeatable and agnostic with respect to the operating system, programming language, and communication protocols.
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Date Issued: 2015
PURL: http://purl.flvc.org/fau/fd/FA00004527, http://purl.flvc.org/fau/fd/FA00004527
Subject Headings: Business logistics -- Automation, Electronic commerce -- Management, Enterprise application integration (Computer systems), Information resources management, Management information systems, Software reengineering
Format: Document (PDF)

Business logistics (4)	+ -
Logistics (2)	+ -
Physical distribution of goods--Management (2)	+ -
Applied ethics. (1)	+ -
Business logistics -- Automation (1)	+ -

Business logistics -- Management (1)	+ -
Business logistics--Management. (1)	+ -
Business logistics--Mathematical models (1)	+ -
Cognitive science (1)	+ -
Computer vision (1)	+ -
Contracting out (1)	+ -
Customer relations (1)	+ -
Decision making (1)	+ -
Discriminant analysis (1)	+ -
Distribution centers (1)	+ -
Education, Higher--Research (1)	+ -
Elasticity (Economics) (1)	+ -
Electronic commerce -- Management (1)	+ -
Enterprise application integration (Computer systems) (1)	+ -
Entropy (Information theory) (1)	+ -
Genetic algorithms (1)	+ -
Imaging systems (1)	+ -
Information resources management (1)	+ -
Intelligent transportation systems (1)	+ -
Inventory control--Mathematical models (1)	+ -
Lagrangian functions (1)	+ -
Logistic distribution (1)	+ -
Logistic regression analysis (1)	+ -
Logistics--Mathematical models (1)	+ -
Management information systems (1)	+ -

Florida Atlantic University (10)	+ -
College of Engineering and Computer Science (8)	+ -
Han, Chingping (Jim) (4)	+ -
Department of Computer and Electrical Engineering and Computer Science (3)	+ -
Department of Ocean and Mechanical Engineering (3)	+ -

College of Business (2)	+ -
Department of Civil, Environmental and Geomatics Engineering (2)	+ -
Kaisar, Evangelos I. (2)	+ -
Charisis, Anastasios (1)	+ -
College for Design and Social Inquiry (1)	+ -
Damrongwongsiri, Montri. (1)	+ -
Department of Information Technology and Operations Management (1)	+ -
Department of Marketing (1)	+ -
Giusti Urbina, Rafael J. (1)	+ -
Gu, Qian-nong. (1)	+ -
Huang, Shihong (1)	+ -
Kra, Jason E. (1)	+ -
McCue, Clifford P. (1)	+ -
Menachof, David (1)	+ -
Meshbane, Alice. (1)	+ -
Morgan, Courtney Luke, Sr. (1)	+ -
Morris, John D. (1)	+ -
Mulcahy, James J. (1)	+ -
Murphy, Micah (1)	+ -
Sashi, C. M. (1)	+ -
School of Public Administration (1)	+ -
Srinuwattiwong, Prapoj. (1)	+ -
Steinfeld, Joshua M. (1)	+ -
Tabassum, Anika (1)	+ -

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