Current Search:  Supply Chain Management (x)

View All Items

  • CSV Spreadsheet
(1 - 7 of 7)
A MULTI-VIEW FRAMEWORK FOR DEFINING THE SERVICES SUPPLY CHAIN USING OBJECT ORIENTED METHODOLOGY
Title
A MULTI-VIEW FRAMEWORK FOR DEFINING THE SERVICES SUPPLY CHAIN USING OBJECT ORIENTED METHODOLOGY.
Creator
Barnard, James, Mollaghasemi, Mansooreh, University of Central Florida
Abstract / Description
Supply-chain management is the practice combining theory from logistics, operations management, production management and inventory control. Therefore, it is often associated exclusively with manufacturing or materials management industries. Application of supply-chain management to other industries often results in implementations that do not satisfy the needs of the involved enterprises. To improve the implementation of supply-chain solutions outside of the materials management and...
Show moreSupply-chain management is the practice combining theory from logistics, operations management, production management and inventory control. Therefore, it is often associated exclusively with manufacturing or materials management industries. Application of supply-chain management to other industries often results in implementations that do not satisfy the needs of the involved enterprises. To improve the implementation of supply-chain solutions outside of the materials management and manufacturing industries there is a need for industry specific standards. One industry sector in need of a standard is the services industry. The current problem facing the services sector is the inability to adapt current frameworks to the provisioning of a service. Provisioning a service translates into the supply-chain for the services industry since it influences the services supply and demand. A solution to the problem is development of a supply-chain standard specific to the provisioning of a service. Objectives of the research are to define comprehensively, a new services supply-chain model that is applicable to the United States government classification of a service and to ensure the scalability and integration capability of the model. To satisfy these objectives, it is necessary to understand the characteristics describing the services supply-chain process. The characteristics are the input into deriving the processes and terminology of the generalized services supply-chain. Terminology and processes are then used to create a supply-chain framework using input from the Supply-Chain Council's Supply-Chain Operations Reference (SCOR) model. SCOR provides a foundation for describing the processes and defining the terminology in an already accepted format. A final verification of the model by industry experts insures conceptually that the framework is applicable to the current problem. This research developed a three-level framework similar in structure to the SCOR framework. Presentation of the framework is a specification that defines and sequences the processes for implementation. A detailed case study applies the model using the framework and the definition of a comprehensive supply-chain.
Show less
Date Issued
2006
Identifier
CFE0001485, ucf:47097
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0001485
OPTIMIZING THE GLOBAL PERFORMANCE OF BUILD-TO-ORDER SUPPLY CHAINS
Title
OPTIMIZING THE GLOBAL PERFORMANCE OF BUILD-TO-ORDER SUPPLY CHAINS.
Creator
Shaalan, Tarek, Geiger, Christopher, University of Central Florida
Abstract / Description
Build-to-order supply chains (BOSCs) have recently received increasing attention due to the shifting focus of manufacturing companies from mass production to mass customization. This shift has generated a growing need for efficient methods to design BOSCs. This research proposes an approach for BOSC design that simultaneously considers multiple performance measures at three stages of a BOSC – Tier I suppliers, the focal manufacturing company and Tier I customers (product delivery...
Show moreBuild-to-order supply chains (BOSCs) have recently received increasing attention due to the shifting focus of manufacturing companies from mass production to mass customization. This shift has generated a growing need for efficient methods to design BOSCs. This research proposes an approach for BOSC design that simultaneously considers multiple performance measures at three stages of a BOSC – Tier I suppliers, the focal manufacturing company and Tier I customers (product delivery couriers). We present a heuristic solution approach that constructs the best BOSC configuration through the selection of suppliers, manufacturing resources at the focal company and delivery couriers. The resulting configuration is the one that yields the best global performance relative to five deterministic performance measures simultaneously, some of which are nonlinear. We compare the heuristic results to those from an exact method, and the results show that the proposed approach yields BOSC configurations with near-optimal performance. The absolute deviation in mean performance across all experiments is consistently less than 4%, with a variance less than 0.5%. We propose a second heuristic approach for the stochastic BOSC environment. Compared to the deterministic BOSC performance, experimental results show that optimizing BOSC performance according to stochastic local performance measures can yield a significantly different supply chain configuration. Local optimization means optimizing according to one performance measure independently of the other four. Using Monte Carlo simulation, we test the impact of local performance variability on the global performance of the BOSC. Experimental results show that, as variability of the local performance increases, the mean global performance decreases, while variation in the global performance increases at steeper levels.
Show less
Date Issued
2006
Identifier
CFE0001411, ucf:47063
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0001411
Inventory Management Problem for Cold Items with Environmental and Financial Considerations
Title
Inventory Management Problem for Cold Items with Environmental and Financial Considerations.
Creator
Hajiaghabozorgi, Ali, Pazour, Jennifer, Karwowski, Waldemar, Zheng, Qipeng, Nazzal, Dima, University of Central Florida
Abstract / Description
The overarching theme of this dissertation is analytically analyzing the cold supply chain from a financial and environmental perspective. Specifically, we develop inventory policy models in the cold supply chain that consider holding and transportation unit capacities. The models provide insights for the decision maker on the tradeoff between setting order quantities based on the cost or the emission function.In Chapter 2, we review two major bodies of literature: 1) supply chain design, and...
Show moreThe overarching theme of this dissertation is analytically analyzing the cold supply chain from a financial and environmental perspective. Specifically, we develop inventory policy models in the cold supply chain that consider holding and transportation unit capacities. The models provide insights for the decision maker on the tradeoff between setting order quantities based on the cost or the emission function.In Chapter 2, we review two major bodies of literature: 1) supply chain design, and 2) sustainability in supply chain design. We benefit from this literature review to map the current body of research on traditional supply chain for further comparison with the cold supply chain. Sustainability in supply chain network design is often measured by the carbon footprint; other sustainability metrics such as water footprint and sustainable energy are not included. Literature on supply chain design can be further broken down into its three major components: 1) facility location/allocation, 2) inventory management, and 3) facility location/allocation combined with inventory management. In Chapter 3, we study and present an overview of the cold chain. In accordance to the three levels of supply chain management decision making, the study is divided into the following three sections: (1) strategic level, (2) tactical level, and (3) operational level. Specifically, we capture how these decisions will impact the three main components of sustainability: economic, environmental, and social components. In addition, we explain how these components are different in the cold chain, in comparison to the traditional supply chain, and why such unique differences are worth studying. The intent of this chapter is to provide an overview of cold chains and to identify open areas for research. Examples from industrial cases, in addition to data and information from white papers, reports and research articles are provided.In Chapter 4, the cold item inventory problem is formulated as a single-period model that considers both financial and emissions functions. A new formulation for holding and transportation cost and emission is proposed by considering unit capacity for holding and transportation. This model applies to cold items that need to be stored at a certain, non-ambient temperature. Holding cold items in a warehouse is usually done by dividing the warehouse into a set of cold freezer units inside rather than refrigerating the entire warehouse. The advantage of such a design is that individual freezer units can be turned off to save cost and energy, when they are not needed. As a result, there is a fixed (setup) cost for holding a group of items, which results in a step function to represent the fixed cost of turning on the freezer units, in addition to the variable cost of holding items based on the number of units held in inventory. Three main goals of studying this problem are: 1) deriving the mathematical structure and modeling the holding and transportation costs and environmental functions in cold chains, 2) proposing exact solution procedures to solve the math models, and 3) analyzing the tradeoffs involved in making inventory decisions based on minimizing emissions vs. minimizing cost in cold chains.This problem demonstrates the tradeoff between the cost and the emission functions in an important supply chain decision. Also, the analytical models and solution approaches provide the decision maker with analytical tools for making better decisions.In Chapter 5, we expand the developed model from Chapter 4 to include multiple types of products. We consider a group of products that share capacities as a family of products. According to the problem formulation, we have two types of decision variables: (1) determining if a product is a member of a family or not, and (2) how much to order and how frequently to order for products within each family. We propose a solution procedure in accordance with the decision variable types: (1) a procedure for grouping (partitioning) the products into different families, and (2) a procedure to solve the inventory problem for each family. A set of experiments are designed to answer a number of research questions, and brings more understandings of the developed models and solutions algorithms.Finally, the conclusions of this dissertation and suggestions for future research topics are presented in Chapter 6.
Show less
Date Issued
2014
Identifier
CFE0005501, ucf:50365
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0005501
VALUE MAPPING FRAMEWORK INVOLVING STAKEHOLDERS FOR SUPPLY CHAIN IMPROVEMENT WHEN IMPLEMENTING INFORMATION TECHNOLOGY PROJECTS
Title
VALUE MAPPING FRAMEWORK INVOLVING STAKEHOLDERS FOR SUPPLY CHAIN IMPROVEMENT WHEN IMPLEMENTING INFORMATION TECHNOLOGY PROJECTS.
Creator
Moore, Karla, Rabelo, Luis, University of Central Florida
Abstract / Description
Successful Supply Chain Management (SCM) depends on how well an organization performs internal and external communications with trading partners, executes the logistics component, and understands/monitors related costs of conducting its business. The use of information technology (IT) is considered a prerequisite for the effective control of today's complex supply chains. Increased communication technology has redefined how businesses work together, raised customer expectations, and...
Show moreSuccessful Supply Chain Management (SCM) depends on how well an organization performs internal and external communications with trading partners, executes the logistics component, and understands/monitors related costs of conducting its business. The use of information technology (IT) is considered a prerequisite for the effective control of today's complex supply chains. Increased communication technology has redefined how businesses work together, raised customer expectations, and placed new demands on supply chain performance. IT components with proven and rapid return-on-investment are favored to support critical supply chain processes such as leaner manufacturing processes, consumer-driven supply chains, and customer responsiveness. The use of IT in the digital era has become critical and it is treated as a major competitive tool for success. Complex and comprehensive IT infrastructures support the firm's communications network, databases, and operating systems. Information technology facilitates the creation of value. However, the creation of value is defined by the different groups of stakeholders. Therefore, stakeholders must be integrated into this process of change management that uses IT as the enabler. Supply chains are due to change when higher levels of performance and/or adaptation are required as mandated by changes in the business structure and/or benchmarking and/or regulations. One of the major problems for any supply chain executive is to understand and manage these changes. These changes usually require the implementation of an IT project. Therefore, the successful design, execution, and completion of these IT projects are important for the supply chain. SCM is now a strategic function addressed at the highest levels of the organization in concert with multiple stakeholders on both the supplier and customer side of the table. The aim of this dissertation is to develop a value mapping framework involving stakeholders to improve supply chain performance when implementing IT projects. The framework has components that help define the supply chain, measure the size of the issues, identify necessary changes in the metrics to improve performance, measure the organizational consequences of these changes, and develop and follow a plan to implement IT projects to achieve the new goals of performance. Through this new framework, these IT projects will be able to bring the supply chain from a current state "As is" to a future state "To be"; capturing the existing and desired states of the proposed changes which are aligned with the objectives and goals of the organization. Therefore, the IT project can be designed, executed, and completed. One unique component of this framework is the inclusion of the stakeholders at different stages. This framework identifies the group of stakeholders to be taken into consideration in order to define the future "To be" state. In addition, the framework identifies the value creation of the "To be" system as seen by the stakeholders.
Show less
Date Issued
2008
Identifier
CFE0002108, ucf:47541
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0002108
MULTIOBJECTIVE COORDINATION MODELS FOR MAINTENANCE AND SERVICE PARTS INVENTORY PLANNING AND CONTROL
Title
MULTIOBJECTIVE COORDINATION MODELS FOR MAINTENANCE AND SERVICE PARTS INVENTORY PLANNING AND CONTROL.
Creator
Martinez, Oscar, Geiger, Christopher, University of Central Florida
Abstract / Description
In many equipment-intensive organizations in the manufacturing, service and particularly the defense sectors, service parts inventories constitute a significant source of tactical and operational costs and consume a significant portion of capital investment. For instance, the Defense Logistics Agency manages about 4 million consumable service parts and provides about 93% of all consumable service parts used by the military services. These items required about US$1.9 billion over the fiscal...
Show moreIn many equipment-intensive organizations in the manufacturing, service and particularly the defense sectors, service parts inventories constitute a significant source of tactical and operational costs and consume a significant portion of capital investment. For instance, the Defense Logistics Agency manages about 4 million consumable service parts and provides about 93% of all consumable service parts used by the military services. These items required about US$1.9 billion over the fiscal years 1999-2002. During the same time, the US General Accountability Office discovered that, in the United States Navy, there were about 3.7 billion ship and submarine parts that were not needed. The Federal Aviation Administration says that 26 million aircraft parts are changed each year. In 2002, the holding cost of service parts for the aviation industry was estimated to be US$50 billion. The US Army Institute of Land Warfare reports that, at the beginning of the 2003 fiscal year, prior to Operation Iraqi Freedom the aviation service parts alone was in excess of US$1 billion. This situation makes the management of these items a very critical tactical and strategic issue that is worthy of further study. The key challenge is to maintain high equipment availability with low service cost (e.g., holding, warehousing, transportation, technicians, overhead, etc.). For instance, despite reporting US$10.5 billion in appropriations spent on purchasing service parts in 2000, the United States Air Force (USAF) continues to report shortages of service parts. The USAF estimates that, if the investment on service parts decreases to about US$5.3 billion, weapons systems availability would range from 73 to 100 percent. Thus, better management of service parts inventories should create opportunities for cost savings caused by the efficient management of these inventories. Unfortunately, service parts belong to a class of inventory that continually makes them difficult to manage. Moreover, it can be said that the general function of service parts inventories is to support maintenance actions; therefore, service parts inventory policies are highly related to the resident maintenance policies. However, the interrelationship between service parts inventory management and maintenance policies is often overlooked, both in practice and in the academic literature, when it comes to optimizing maintenance and service parts inventory policies. Hence, there exists a great divide between maintenance and service parts inventory theory and practice. This research investigation specifically considers the aspect of joint maintenance and service part inventory optimization. We decompose the joint maintenance and service part inventory optimization problem into the supplier's problem and the customer's problem. Long-run expected cost functions for each problem that include the most common maintenance cost parameters and service parts inventory cost parameters are presented. Computational experiments are conducted for a single-supplier two-echelon service parts supply chain configuration varying the number of customers in the network. Lateral transshipments (LTs) of service parts between customers are not allowed. For this configuration, we optimize the cost functions using a traditional, or decoupled, approach, where each supply chain entity optimizes its cost individually, and a joint approach, where the cost objectives of both the supplier and customers are optimized simultaneously. We show that the multiple objective optimization approach outperforms the traditional decoupled optimization approach by generating lower system-wide supply chain network costs. The model formulations are extended by relaxing the assumption of no LTs between customers in the supply chain network. Similar to those for the no LTs configuration, the results for the LTs configuration show that the multiobjective optimization outperforms the decoupled optimization in terms of system-wide cost. Hence, it is economically beneficial to jointly consider all parties within the supply network. Further, we compare the model configurations – LTs versus no LTs, and we show that using LTs improves the overall savings of the system. It is observed that the improvement is mostly derived from reduced shortage costs since the equipment downtime is reduced due to the proximity of the supply. The models and results of this research have significant practical implications as they can be used to assist decision-makers to determine when and where to pre-position parts inventories to maximize equipment availability. Furthermore, these models can assist in the preparation of the terms of long-term service agreements and maintenance contracts between original equipment manufacturers and their customers (i.e., equipment owners and/or operators), including determining the equitable allocation of all system-wide cost savings under the agreement.
Show less
Date Issued
2008
Identifier
CFE0002459, ucf:47723
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0002459
A Methodology for Data-Driven Decision-Making in Last Mile Delivery Operations
Title
A Methodology for Data-Driven Decision-Making in Last Mile Delivery Operations.
Creator
Gutierrez Franco, Edgar, Rabelo, Luis, Karwowski, Waldemar, Zheng, Qipeng, Sarmiento, Alfonso, University of Central Florida
Abstract / Description
Across all industries, from manufacturing to services, decision-makers must deal day to day with the outcomes from past and current decisions that affect their business. Last-mile delivery is the term used in supply chain management to describe the movement of goods from a hub to final destinations. This research proposes a methodology that supports decision making for the execution of last-mile delivery operations in a supply chain. This methodology offers diverse, hybrid, and complementary...
Show moreAcross all industries, from manufacturing to services, decision-makers must deal day to day with the outcomes from past and current decisions that affect their business. Last-mile delivery is the term used in supply chain management to describe the movement of goods from a hub to final destinations. This research proposes a methodology that supports decision making for the execution of last-mile delivery operations in a supply chain. This methodology offers diverse, hybrid, and complementary techniques (e.g., optimization, simulation, machine learning, and geographic information systems) to understand last-mile delivery operations through data-driven decision-making. The hybrid modeling might create better warning systems and support the delivery stage in a supply chain. The methodology proposes self-learning procedures to iteratively test and adjust the gaps between the expected and real performance. This methodology supports the process of making effective decisions promptly, optimization, simulation, and machine learning models are used to support execution processes and adjust plans according to changes in conditions, circumstances, and critical factors. This research is applied in two case studies. The first one is in maritime logistics, which discusses the decision process to find the type of vessels and routes to deliver petroleum from ships to villages. The second is in city logistics, where a network of stakeholders during the city distribution process is analyzed, showing the potential benefits of this methodology, especially in metropolitan areas. Potential applications of this system will leverage growing technological trends (e.g., machine learning in supply chain management and logistics, internet of things). The main research impact is the design and implementation of a methodology, which can support real-time decisions and adjust last-mile operations depending on the circumstances. The methodology allows taking decisions under conditions of stakeholder behavior patterns like vehicle drivers, customers, locations, and traffic. As the main benefit is the possibility to predict future scenarios and plan strategies for the most likely situations in last-mile delivery. This will help determine and support the accurate calculation of performance indicators. The research brings a unified methodology, where different solution approaches can be used in a synchronized form, which allows researches and other interested people to see the connection between techniques. With this research, it was possible to bring advanced technologies in routing practices and algorithms to decrease operating cost and leverage the use of offline and online information, thanks to connected sensors to support decisions.
Show less
Date Issued
2019
Identifier
CFE0007645, ucf:52505
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0007645
The Effects of Risk and Trust on the Achievement of Sustainable Competitive Advantage from B2B E-Commerce Trading Relationships
Title
The Effects of Risk and Trust on the Achievement of Sustainable Competitive Advantage from B2B E-Commerce Trading Relationships.
Creator
Hampton, Clark, Sutton, Steven, Roberts, Robin, Arnold, Vicky, Khazanchi, Deepak, Benford, Tanya, University of Central Florida
Abstract / Description
This dissertation consists of three interrelated studies focusing on the use of business-to-business (B2B) electronic commerce (e-commerce) to facilitate supply chain transactions. B2B e-commerce enabled supply chains produce substantial savings for organizations by reducing the amount of time and money necessary to negotiate contracts, processes orders, and pay suppliers. However, doubt exists as to whether reduced transaction costs are a sustainable competitive advantage for organizations....
Show moreThis dissertation consists of three interrelated studies focusing on the use of business-to-business (B2B) electronic commerce (e-commerce) to facilitate supply chain transactions. B2B e-commerce enabled supply chains produce substantial savings for organizations by reducing the amount of time and money necessary to negotiate contracts, processes orders, and pay suppliers. However, doubt exists as to whether reduced transaction costs are a sustainable competitive advantage for organizations. The advent of widespread and cost effective B2B e-commerce enabled supply chains coupled with increasingly complex, dynamic, and global competitive markets are encouraging organizations to form long-term relationships with their trading partners to achieve sustainable competitive advantage from improved supply chain performance. Competition is no longer restricted to large firms and end-product producers, but now encompasses the extended organizational supply chain. Using three separate, but related theories, these studies investigate 1) the factors affecting satisfaction with B2B e-commerce trading relationships, 2) the antecedents and effects of risk and trust on assurance desirability in B2B e-commerce partnerships, and 3) the impact of enterprise risk management procedures on the achievement of sustainable competitive advantage from B2B e-commerce enabled transnational alliances. Critical to achieving sustainable competitive advantage from B2B e-commerce capabilities is the existence of long-term mutually satisfying buyer(-)supplier relationships. The first study examines the antecedents of relationship satisfaction between B2B e-commerce trading partners. Using the relational view of the firm, a theoretical model is developed to investigate the direct and countervailing effects of trust and risk on relationship satisfaction. In addition, the indirect effects of justice and commitment on relationship satisfaction are also investigated. A field survey is used to collect data from 205 industry professionals concerning B2B e-commerce trading partnerships. Structural equation modeling is used to evaluate the hypothesized model relationships. The results support all hypotheses and indicate good model fit with strong explanatory power. This study contributes to the accounting information systems and strategic management literature by investigating the interactive but independent roles of risk and trust within B2B e-commerce trading relationships. The second study examines the integrative effects of power, risk, and trust, along with their antecedents, on the desirability of assurance over a trading partner's e-commerce processes. Using the resource advantage theory of competition as a foundation, a research model is developed to examine the relationships among the various trading partners and organizational factors that drive demand for a high information governance structure such as assurance. A field survey is used to collect data from 205 industry professionals to enable the evaluation of the complex relationships in the overall research model using structural equation modeling. The results support all hypotheses and provide good model fit, strong explanatory power, and strong support for the theory. This study expands the literature on management control systems within interorganizational relationships by addressing three contemporary concerns in the literature: (1) the minimal consideration of the impact of information technology in these relationships, (2) the minimal consideration of the impact of variances in the relative power of the trading partners, and (3) the need to consider the dual influence of risk and trust. Globalization places greater emphasis on the development of transnational alliances. The greatest benefits from alliances are derived from high-level information sharing, but risk escalates with information sharing. The purpose of the third study is to examine the influence of enterprise risk management (ERM) on risk and trust associated with transnational alliances and the resulting impact on interorganizational information sharing. Survey data is gathered from 200 senior-level managers monitoring transnational alliances. Structural equation modeling is used to test the hypothesized relationships. The results provide strong support for the hypothesized relationships and the overall research model, showing that high ERM leads to decreased risk, increased trust, and improved information sharing.
Show less
Date Issued
2011
Identifier
CFE0004117, ucf:49108
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0004117