Michael Kay

• North Carolina State University

One of the biggest challenges in designing a logistics network is predicting the demand flows between all pairs of points in the network. Currently, the gravity model is mainly used for estimating the demand flow between points. However, the gravity model uses historical data to estimate values for its multiple parameters and distance between pairs...

Purpose - Demonstrate proof-of-concept for conducting NFL Draft trades on a blockchain network using smart contracts. Design/Methodology/Approach - Using Ethereum smart contracts, we model several types of draft trades between teams. An example scenario is used to demonstrate contract interaction and draft results. Findings - We show the feasibilit...

Purpose The study aims to investigate the impact of additive manufacturing (AM) on the performance of a spare parts supply chain with a particular focus on underlying spare part demand patterns. Design/methodology/approach This work evaluates various AM-enabled supply chain configurations through Monte Carlo simulation. Historical demand simulatio...

Purpose: This paper aims to investigate the current state, technological challenges, economic opportunities and future directions in the growing “indirect” hybrid manufacturing ecosystem, which integrates traditional metal casting with the production of tooling via additive manufacturing (AM) process including three-dimensional sand printing (3DSP...

In recent years, companies have increased their focus on sustainability to achieve environmental-friendly improvements, to manage pressures from society and regulations, and to attract customers that appreciate sustainability efforts. While companies have mainly aimed short-term/operational improvements, long-term improvements are difficult to reac...

Purpose The purpose of this paper is to investigate US noncombatant evacuation operations (NEO) in South Korea and devise planning and management procedures that improve the efficiency of those missions. Design/methodology/approach It formulates a time-staged network model of the South Korean noncombatant evacuation system as a mixed integer linea...

In this study, procedures are presented that can be used to determine the routes of the packages transported within a modular storage system. The problem is a variant of robot motion planning problem. The structures of the procedures are developed in three steps for the simultaneous movement of multiple unit-sized packages in a modular warehouse. T...

Purpose: Although the adoption of metal additive manufacturing (AM) for production has continuously grown, in-house access to production grade metal AM systems for small and medium enterprises (SMEs) is a major challenge due to costs of acquiring metal AM systems, specifically powder bed fusion AM. On the other hand, AM technology in directed ener...

Uncertainty is rampant in military expeditionary operations spanning high intensity combat to humanitarian operations. These missions require rapid planning and decision-support tools to address the logistical challenges involved in providing support in often austere environments. The U.S. Army's adoption of an enterprise resource planning (ERP) sy...

This paper presents a proof of concept for a Military Logistics Network Planning System (MLNPS) to be used during mission planning to quickly identify a robust logistical footprint that can adequately sustain units deployed in an expeditionary environment. The logistical network is modeled using an efficient form of goal seeking deterministic discr...

Hybrid Manufacturing is defined as the integration of Additive Manufacturing (AM), specifically metal AM, with traditional manufacturing post-processing such as heat treatment and machining. Hybrid AM enables Small and Medium Enterprises (SME) who can offer post-processing services to integrate into the growing AM supply chain. Most near-net metal...

In vehicle routing problems, the initial solutions of the routes are important for improving the quality and solution time of the algorithm. For a better route construction algorithm, the obtained initial solutions must be basic, fast, and flexible with reasonable accuracy. In this study, initial solutions are introduced to improve the final soluti...

The ever-growing applications of Additive Manufacturing (AM) in the production of low volume- high value metal parts can be attributed to improving AM processing capabilities and complex design freedom. However, secondary post-processing using traditional processes such as machining, grinding, heat treatment and hot isostatic pressing, i.e., Hybrid...

The integration of additive manufacturing (AM) with traditional manufacturing methods into 'hybrid manufacturing' has increased the potential uses of AM in the manufacturing industry. This paper explores the role of production resources in a traditional manufacturing facility and economic effects on the adoption of AM via hybrid manufacturing. A pr...

The U.S. is an important wood pellets producer for Europe, but in recent years there is special attention in the domestic market. This project developed mathematical logistics models in MatLab® that estimate distribution channels, transportation, and volumes for the domestic wood pellet demand. The models consider only demand in the northeastern U....

It warning airborne is important platform system to using, such establish as for a high instance, an altitude early an long endurance (HALE) unmanned aerial vehicle (UAV) to address security issues, such as threats of a missile strike by a militant neighbor on a friendly country’s territories. The problem we investigate deals with an imagery intell...

In this study, two software projects are considered: Julog: Logistics Engineering Julia Toolbox and Matlog: Logistics Engineering Matlab Toolbox both of which can be used for solving vehicle routing problems. Then, a comparison is made with respect to their solution times. Matlab is a widely used software in engineering applications because of its...

Biomass logistics operations account for a major portion of the feedstock cost of running a biorefinery, and make up a significant portion of total system operational costs. Biomass is a bulky perishable commodity that is required in large quantities year round for optimal biorefinery operations. As a proof of concept for a decision making tool for...

Bu çalışmada, iki projeye odaklanılmıştır: JuLog: Lojistik Mühendisliği Julia Araç Kutusu ve MatLog: Lojistik Mühendisliği Matlab Araç Kutusu. Herbir araç kutusu Araç Rotalama Problemlerini çözmek için kullanılabilir. Çalışmada karşılaştırmalar her bir araç kutusunun çözüm süreleri dikkate alınarak yapılmaktadır. Matlab mühendislik uygulamalarında...

The Economic Lot Scheduling Problem is a classical scheduling problem with the objective of minimising the long-run inventory and set-up costs of a single machine, multi-product inventory system. Demand rates, production rates and set-up times are assumed to be deterministic. The problem has been extensively studied and methods exist to obtain cycl...

In the second article of a two-article sequence, the focus is on a simulation model for screening and treatment of breast cancer in U.S. women of age 65+. The first article details a natural-history simulation model of the incidence and progression of untreated breast cancer in a representative simulated population of older U.S. women, which ultima...

Efficient packing of multiple parts in a build chamber can significantly reduce unit cost and cycle time in additive manufacturing (AM). Due to the nature of the AM process, the packing layout also determines the surface roughness and volume of any required support structures, which are critical factors that affect the quality, cost, and post proce...

We develop a simulation modeling framework for evaluating the effectiveness of breast cancer screening policies for US women of age 65+. We introduce a two-phase simulation approach to modeling the main components in the breast cancer screening process. The first phase is a natural-history model of the incidence and progression of untreated breast...

In an effort to support MHI’s thrust to become the “authoritative provider of material handling and logistics information that improves the supply chain”, CICMHE has undertaken the first step into assessing the state of the education in the area of material handling at the college level. At the MHI annual meetings in the fall of 2012, a one-year st...

Accurate information on dual prices of capacitated resources is of interest in a number of applications, such as cost allocation and pricing. To gain insight we focus on the dual prices of capacity and demand in a single-stage single-product production-inventory system, and discuss their interpretation. In particular, we examine the behavior of two...

We develop a shipper-oriented model to estimate less-than-truckload (LTL) truck rates for transporting goods between origin–destination (O–D) pairs located anywhere in the continental United States. The rate estimate is developed from internet-accessible tariff tables and allows straightforward computation of optimal shipment sizes (minimising tota...

A critical decision companies are faced with on a regular basis is the ordering of products and/or raw materials. Poor decisions can lead to excess inventories that are costly or to insufficient inventory that cannot meet its customer demands. These decisions may be as simple as "How much to order" or "How often to order" to more complex decision f...

A critical decision companies are faced with on a regular basis is the ordering of products and/or raw materials. Poor decisions can lead to excess inventories that are costly or to insufficient inventory that cannot meet its customer demands. These decisions may be as simple as "how much to order" or "how often to order" to more complex decision f...

Genetic algorithms (GAs) have been shown to be quite effective at solving a wide range of difficult problems. They are very efficient at exploring the entire search space; however, they are relatively poor at finding the precise local optimal solution in the region in which the algorithm converges. Hybrid GAs are the combination of local improvemen...

A public logistics network is proposed as a means to extend many of the features associated with public warehouses to the entire supply chain. The average transport time of a hypothetical public logistics network covering the southeastern United States is compared to the times of a hub-and-spoke and a point-to-point network covering the same region...

Hybridizing evolutionary algorithms with local search has been quite successful. EAs are designed to exponentially exploit promising regions of the search space; however, by doing so may waste computation effort by duplicating local searches. Therefore, an adaptive memory method is used to determine when to apply a local search

A critical decision companies are faced with on a regular basis is the ordering of products and/or raw materials. Poor decisions can lead to excess inventories that are costly or to insufficient inventory that cannot meet its customer demands. These decisions may be as simple as "How much to order" or "How often to order" to more complex decision f...

A large number of heuristic search algorithms are available for function optimization. Each of these heuristics, e.g., simulated annealing, genetic algorithms, tabu search, etc., has been shown to be effective at finding good solutions efficiently. However, little work has been directed at determining what are the important problem characteristics...

Several numerical methods have been developed for finding the minimum zone of a cylinder. This paper presents a combinatorial method termed the Minimum Shell for cylindricity evaluation. For a given set of measured data points, the method efficiently searches for the six points that determine the minimum zone of cylindricity. This method is self-co...

Several numerical methods have been developed for finding the minimum zone of a cylinder. This paper presents a combinatorial method termed the Minimum Shell for cylindricity evaluation. For a given set of measured data points, the method efficiently searches for the six points that determine the minimum zone of cylindricity. This method is self-co...

INTRODUCTION Algorithms for function optimization are generally limited to convex regular functions. However, many functions are multi-modal, discontinuous, and nondifferenName: Christopher R. Houck Address: North Carolina State University, Box 7906, Raleigh, NC, 27695-7906,USA,(919) 5155188, (919) 515-1543,chouck@eos.ncsu.edu Affiliation: North Ca...

We fuse a self-organizing hyperellipsoid clustering (HEC) Kohonen neural network with the Julier-Uhlmann-Kalman filter (JUKF) to perform map building and low-level position estimation. The HEC Kohonen uses the Mahalanobis distance to learn elongated shapes (typical of sonar data) and obtain a stochastic measurement of data-node association. The num...

this paper is to evaluate the benefits of dynamic vehicle routing strategies versus conventional static strategies for controlling the operation of an AGV system. The experimental tool for performing this comparison is a flexible, hierarchical simulation model that can be used to simulate an arbitrary AGV system configuration operating under an arb...

A seven-step methodology is presented to determine a dimensionally correct optimal layout of a console panel for a single operator. This methodology integrates the steps in the layout design process and uses a mathematical optimization model from facility design to obtain the optimal panel layout. A major difference in this methodology from previou...

Fuzzy linguistic rules provide an intuitive and powerful means for defining control behavior. Most applications that use fuzzy control feature a single layer of fuzzy inference, mapping a function from one or two inputs to equally few outputs. Highly complex systems, however, may benefit from qualitative rules as well if the control task is properl...

Global competition is demanding innovative ways of achieving manufacturing flexibility and reduced costs. One approach is through cellular manufacturing, an implementation of the concepts of group technology. The design of a cellular manufacturing system requires that a part population be at least minimally described by its use of process technolog...

Approaches in global motion planning (GMP) and geometric beacon collection (for self-localization) using traversability vectors have been developed and implemented in both computer simulation and actual experiments on mobile robots. Both approaches are based on the same simple, modular, and multifunctional traversability vector (t-vector). Through...

Genetic algorithms (GAs) are very efficient at exploring the entire search space; however, they are relatively poor at finding the precise local optimal solution in the region in which the algorithm converges. Hybrid GAs are the combination of improvement procedures, which are good at finding local optima, and GAs. There are two basic strategies fo...

A large number of heuristic search algorithms are available for function optimization. Each of these heuristics, e.g., simulated annealing, genetic algorithms, tabu search, etc., has been shown to be effective at finding good solutions efficiently. However, little work has been directed at determining what are the important problem characteristics...

A multisensor-based control system for an active pan/tilt/zoom camera is presented. Acoustic and visual information from multimedia sensors is used to locate the person currently speaking and track people moving about in a room. Pixel-level fusion of skin color with an image produced from interaural sound delay provides a simple means of detecting...

Fuzzy linguistic rules provide an intuitive and powerful means for defining control behavior. Most applications that use fuzzy control feature a single layer of fuzzy inference, mapping a function from one or two inputs to equally few outputs. Highly complex systems, with large numbers of inputs, may also benefit from the use of qualitative linguis...

Genetic algorithms(GA) are very efficient at exploring the entire search space; however, they are relatively poor at finding the precise local optimal solution in the region at which the algorithm converges. Hybrid genetic algorithms are the combination of improvement procedures, usually working as evaluation functions, and genetic algorithms. Ther...

This paper examines the application of a genetic algorithm used in conjunction with a local improvement procedure for solving the location-allocation problem, a traditional multifacility location problem. This problem is difficult to solve using traditional optimization techniques because of its multimodal, nonconvex nature. The alternate location-...

To analyze the operation of an arbitrary AGV system under selected vehicle routing strategies, we present a simulation model that can handle multiple system layouts, a varying number of AGVs, and a varying number of pedestrians moving around the system. We introduce a dynamic vehicle routing strategy based on hierarchical simulation that operates a...

When navigating an environment a mobile robot can update its position and orientation by searching known landmarks and compare predictions with observations. This paper presents a method of mobile-robot self-referencing where every mapped object (obstacles to the global motion planner) in the environment can be used as potential sources of position...

Companies using just-in-time principles are currently moving from centralized to decentralized storage areas. A question that needs to be addressed is whether this move is cost efficient. Presents a costing model which can be used to determine if further consideration should be given to decentralized storage in a facility currently utilizing centra...

An approach to global motion planning for autonomous mobile robots has been developed on the basis of traversability vectors (t-vectors). Through the overall course of this research it was found that t-vectors provide a utility, efficiency and mathematical stability for collision detection and visibility that cannot be matched by commonly used alge...

A modular architecture for real-time fuzzy mapping of sensors to control signals is presented. The function is broken down into multiple agents, each of which samples a subset of a large sensor input space. Additional fuzzy agents are employed to fuse the recommendations of the local agents. Real-time implementation without special hardware is poss...

A motion planning and self-referencing approach has been developed, simulated and applied to an actual robot. Although there are several novelties to these approaches, the fact that both are based on traversability vectors (t-vectors) is one aspect of this research that is unique. Through their application it has been found that t-vectors enhance t...

It is commonly argued that C-space buffering is too computationally expensive, consumes too much free space, keeps the robot too close to objects, seals off marginally traversable regions and does not allow for curved path segments. However, the research described in this paper uses half-planes and doors to extend C-space so that mobile robot globa...

The need for intelligent systems that can operate in an unstructured dynamic environment has created a growing demand for the use of multiple, distributed sensors. While most research in multisensor fusion has revolved around applications in object recognition-including military applications for automatic target recognition-developments in microsen...

When navigating through an environment, a mobile robot updates its position and orientation by searching for known objects called geometric beacons. This operation of comparing predicted sonar ranges with observed ones is referred to as self-referencing. There are two fundamental steps necessary for solving the self-referencing problem: how to repr...

A method termed global vision that provides the information necessary for the control of free-ranging automated guided vehicle (AGV) systems is described. Global vision refers to the use of cameras placed at fixed locations in a workspace to extend the local sensing available on board each AGV. The characteristics of an overall global vision-based...

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A hierarchical 3-D multiview representation is used to modeltargets so that they can be efficiently recognized using sensorplatforms distributed over a common geographical area. Thehierarchical structure reduces storage requirements and thecommunication bandwidth required for data association betweenplatforms at each stage of the recognition proces...

A tutorial introduction to the subject of multisensor integration and fusion is presented. The role of multisensor integration and fusion in the operation of intelligent systems is defined in terms of the unique type of information multiple sensors can provide. Multisensor integration is discussed in terms of basic integration functions and multise...

The issues involved in integrating multiple sensors into the operation of a system are presented in the context of the type of information these sensors can uniquely provide. A survey is provided of the variety of approaches to the problem of multisensor integration and fusion that have appeared in the literature in recent years ranging from genera...

This paper describes a rule-based expert system, MATHES (MATerial Handling Equipment Selection), that selects appropriate types of material handling equipment for intra-factory moves of unitized material. The equipment types are chosen by applying heuristic selection rules (acquired from a human expert) to responses from a user concerning relevant...

Issues concerning the effective integration of multiple sensors into the operation of intelligent systems are presented, and a description of some of the general paradigms and methodologies that address this problem is given. Multisensor integration, and the related notion of multisensor fusion, are defined and distinguished. The potential advantag...

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A public logistics network (PLN) is proposed as an alternative to private logistics networks for the ground transport of parcels [1]. Using the analogy between the packages transported in the network and the packets transmitted through the Internet, a package would be sent from a store and then routed through a sequence of public distribution cente...

Thesis (Ph. D.)--North Carolina State University. Includes bibliographical references (leaves 149-167).