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Operations Research, Systems Engineering and Industrial Engineering Commons™

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2014

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Articles 241 - 270 of 362

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

A Hybrid Genetic Algorithm And Particle Swarm Optimization With Type-2 Fuzzy Sets For Generating Systems Of Systems Architectures, Siddhartha Agarwal, Louis E. Pape, Cihan H. Dagli Jan 2014

A Hybrid Genetic Algorithm And Particle Swarm Optimization With Type-2 Fuzzy Sets For Generating Systems Of Systems Architectures, Siddhartha Agarwal, Louis E. Pape, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Both modeling and simulating a system of systems (SoS) are difficult due not only to a changing environment but also the unique behavior that is linked to different participating systems. Generating architectures for a SoS is a multi-objective optimization problem with large number of variables and constraints. The paper presents several of computational intelligence techniques that can generate SoS architectures, such as genetic algorithms (GA), and particle swarm optimization (PSO) combined with Type 2 Fuzzy logic nets. The Maritime search and rescue (SAR) were used as a SoS domain scenario to both implement and demonstrate the architecting methodology. SAR utilizes …

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Joint Decisions On Inventory Replenishment And Emission Reduction Investment Under Different Emission Regulations, Ayşegül Toptal, Haşim Özlü, Dinçer Konur Jan 2014

Joint Decisions On Inventory Replenishment And Emission Reduction Investment Under Different Emission Regulations, Ayşegül Toptal, Haşim Özlü, Dinçer Konur

Engineering Management and Systems Engineering Faculty Research & Creative Works

Carbon emission regulation policies have emerged as mechanisms to control firms' carbon emissions. To meet regulatory requirements, firms can make changes in their production planning decisions or invest in green technologies. In this study, we analyze a retailer's joint decisions on inventory replenishment and carbon emission reduction investment under three carbon emission regulation policies. Particularly, we extend the economic order quantity model to consider carbon emissions reduction investment availability under carbon cap, tax and cap-and-trade policies. We analytically show that carbon emission reduction investment opportunities, additional to reducing emissions as per regulations, further reduce carbon emissions while reducing costs. We …

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Long-Term Time Series Prediction Using Op-Elm, Alexander Grigorievskiy, Yoan Miche, Anne Mari Ventelä, Eric Séverin, Amaury Lendasse Jan 2014

Long-Term Time Series Prediction Using Op-Elm, Alexander Grigorievskiy, Yoan Miche, Anne Mari Ventelä, Eric Séverin, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, an Optimally Pruned Extreme Learning Machine (Op-Elm) is Applied to the Problem of Long-Term Time Series Prediction. Three Known Strategies for the Long-Term Time Series Prediction I.e. Recursive, Direct and Dirrec Are Considered in Combination with Op-Elm and Compared with a Baseline Linear Least Squares Model and Least-Squares Support Vector Machines (Ls-Svm). among These Three Strategies Dirrec is the Most Time Consuming and its Usage with Nonlinear Models Like Ls-Svm, Where Several Hyperparameters Need to Be Adjusted, Leads to Relatively Heavy Computations. It is Shown that Op-Elm, Being Also a Nonlinear Model, Allows Reasonable Computational Time for …

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Evaluating The Impact Of Auto Id Technologies On Oil And Gas Erp System Data Accuracy And Reliability, Gowthaman Ananta Krishnan Jan 2014

Evaluating The Impact Of Auto Id Technologies On Oil And Gas Erp System Data Accuracy And Reliability, Gowthaman Ananta Krishnan

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Most of Enterprise Resource Planning (ERP) systems currently use manual entry or mass upload methods to enter data collected from warehouse operations. These methods are highly unreliable and prone to manual error affecting the data accuracy. Data accuracy and accurate real-time data are required by businesses for many critical decisions. Unreliable data becomes invalid and have a negative performance impact on ERP systems that can lead to economic loss to the organization. Automatic Identification (Auto-ID) technologies are used to track and collect data in real time or near real time. They can be integrated into ERP systems automatically to provide …

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Model-Based Systems Engineering Approach To Distributed And Hybrid Simulation Systems, John Pastrana Jan 2014

Model-Based Systems Engineering Approach To Distributed And Hybrid Simulation Systems, John Pastrana

Electronic Theses and Dissertations

INCOSE defines Model-Based Systems Engineering (MBSE) as "the formalized application of modeling to support system requirements, design, analysis, verification, and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases." One very important development is the utilization of MBSE to develop distributed and hybrid (discrete-continuous) simulation modeling systems. MBSE can help to describe the systems to be modeled and help make the right decisions and partitions to tame complexity. The ability to embrace conceptual modeling and interoperability techniques during systems specification and design presents a great advantage in distributed and hybrid simulation systems …

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A Framework Of Critical Success Factors For Business Organizations That Lead To Performance Excellence Based On A Financial And Quality Systems Assessment., Melissa Francisco Jan 2014

A Framework Of Critical Success Factors For Business Organizations That Lead To Performance Excellence Based On A Financial And Quality Systems Assessment., Melissa Francisco

Electronic Theses and Dissertations

One of the most important tasks that business leaders undertake in order to achieve a superior market position is strategic planning. Beyond this obligation, business owners desire to maximize profit and maintain steady growth. In order to do this, resources must be invested in the most efficient way possible in order to achieve performance excellence. Adjusting business operations quickly, however, especially in times of economic uncertainty, is extremely difficult. Business leaders therefore need insight into which elements of organizational improvement are most effective in order to strategically invest their resources to achieve superior performance in the most efficient way possible. …

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Shop Scheduling In The Presence Of Batching, Sequence-Dependent Setups And Incompatible Job Families Minimizing Earliness And Tardiness Penalties, Patricia Buchanan Jan 2014

Shop Scheduling In The Presence Of Batching, Sequence-Dependent Setups And Incompatible Job Families Minimizing Earliness And Tardiness Penalties, Patricia Buchanan

Electronic Theses and Dissertations

The motivation of this research investigation stems from a particular job shop production environment at a large international communications and information technology company in which electro-mechanical assemblies (EMAs) are produced. The production environment of the EMAs includes the continuous arrivals of the EMAs (generally called jobs), with distinct due dates, degrees of importance and routing sequences through the production workstations, to the job shop. Jobs are processed in batches at the workstations, and there are incompatible families of jobs, where jobs from different product families cannot be processed together in the same batch. In addition, there are sequence-dependent setups between …

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Successful Organizational Change: Aligning Change Type With Methods, Serina Al-Haddad Jan 2014

Successful Organizational Change: Aligning Change Type With Methods, Serina Al-Haddad

Electronic Theses and Dissertations

The motivation behind this research is the prevalence of challenges and ambiguity associated with successful organizational change and the numerous available approaches in dealing with these challenges and ambiguity. Many definitions and methods have been suggested to manage change; however, organizations still report a high failure rate of their change initiatives. These high failure rates highlight the continuing need for research and investigation, and imply a lack of a valid framework for managing successful organizational change. This dissertation critically reviews the concept of having one change approach as the “silver-bullet”. In pursuit of this goal, this research contributes a roadmap …

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Inventory Management Problem For Cold Items With Environmental And Financial Considerations, Ali Hajiaghabozorgi Jan 2014

Inventory Management Problem For Cold Items With Environmental And Financial Considerations, Ali Hajiaghabozorgi

Electronic Theses and Dissertations

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 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 …

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A Framework For Assessing The Quality And Effectiveness Of A National Employment System: A Case Study Of Saudi Arabia, Hemaid Alsulami Jan 2014

A Framework For Assessing The Quality And Effectiveness Of A National Employment System: A Case Study Of Saudi Arabia, Hemaid Alsulami

Electronic Theses and Dissertations

National employment systems have been established in several countries to tackle the unemployment dilemma between citizens while the labor market flooded by expatriates. Lack of performance measurement indices among these systems caused failure to provide jobs to citizens and caused a state of confusion and dissatisfaction among employing entities. In Saudi Arabia, unemployment rate has increased in the last few decades and have since become a very political issue for the Saudi government. Compared to other countries, the problem is different since many expatriates in Saudi Arabia are already employed in their markets while citizens are seeking jobs. In Saudi …

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A Design And Analysis Of Computer Experiments-Based Approach To Approximate Infinite Horizon Dynamic Programming With Continuous State Spaces, Asama Kulvanitchaiyanunt Jan 2014

A Design And Analysis Of Computer Experiments-Based Approach To Approximate Infinite Horizon Dynamic Programming With Continuous State Spaces, Asama Kulvanitchaiyanunt

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Dynamic programming (DP) is an optimization approach that transforms a complex problem into a sequence of simpler sub-problems at different points in stage. The original DP approach used Bellman's equation to compute the "cost-to-go' function. This method is useful when considering a few states and decisions. However, when dealing with high-dimensional data set with continuous state space, the limit called 'curse of dimensionality' obstructs the solution as the size of the state space grows exponentially. Given recent advances in computational power, approximate dynamic programming (ADP) is introduced by not seeking to compute the future value function exactly and at each …

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Inventory Pooling In Petroleum Upstream Logistics Network, Sulaiman Hamad Al Jedaie Jan 2014

Inventory Pooling In Petroleum Upstream Logistics Network, Sulaiman Hamad Al Jedaie

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

The petroleum industry is heading toward the era of efficiency and cost reduction. Oilfield service companies have to raise their efficiency to stay competitive. This dissertation explores the efficiency issues facing an existing upstream petroleum logistics network, with 30 products, 30 countries and two hubs, for an international Oilfield Service Company (OSC). Inventory control was found to be a main source for inefficiency. Safety stock was studied by implementing inventory pooling concept, joint ordering, demand outliers analysis, demand bucket size analysis and regional distribution centers.Six-sigma (DMAIC) approach was used to diagnose the issues in this network and propose alternative solutions. …

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Unmanned Aerial Vehicle Routing In The Presence Of Threats, Kamil A. Alotaibi Jan 2014

Unmanned Aerial Vehicle Routing In The Presence Of Threats, Kamil A. Alotaibi

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

The use of Unmanned Aerial Vehicles (UAVs) and the importance of its role have evolved and increased recently in both civilian and military operations. In this research, we study the routing of Unmanned Aerial Vehicles (UAVs) in the presence of the risk of enemy threats. The main goal for this research is to find optimal routes that consider the targets visited, expected fuel burn, threat exposure, and travel time. We formulate two mixed integer linear programs. In first formulation, we minimize the total expected fuel burn for multiple UAVs in order to visit multiple targets while maintaining the total threat …

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An Exploration And Exploitation Pareto Approach To Surrogate Optimization, John F. Dickson Jan 2014

An Exploration And Exploitation Pareto Approach To Surrogate Optimization, John F. Dickson

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

The experiments or simulations conducted by computers can be a tedious task,requiring substantial computational time. To find a global solution using a computerexperiments process, we usually need to perform many function evaluations of thecomputer model. This research focuses on developing an optimization method to find aglobally optimal solution efficiently using surrogates. The surrogates represent thecomputer model or the system that reads the inputs and generates the output responsesof interest, so that these surrogate models can be used in place of time-consumingsimulations runs. In surrogate based optimization, we iteratively build a surrogate model(a.k.a, approximate model or a metamodel) and conduct an …

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A Systems Thinking Approach To Apply Water Sustainability In Hospitals, Misagh Faezipour Jan 2014

A Systems Thinking Approach To Apply Water Sustainability In Hospitals, Misagh Faezipour

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

One of the most critical challenges the world is facing is to ensure everyone has access to an adequate and quality supply of water. As the population increases, the demand for water rises. Water needs to be sustained for current and future generations. Sustainability acts to balance the resource supply and demand. Hospitals are a major consumer of water. Unfortunately water is facing the challenges of diminishing resources and increasing demands. Therefore, considering water sustainability in hospitals is of significant importance. Water sustainability in hospitals is also important since hospitals offer services to help people improve the quality and health …

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Evaluating The Impact Of A Shared Pharmaceutical Supply Chain Model To Minimize Counterfeit Drugs, Diverted Drugs, And Drug Shortages, Jae Bong Choi Jan 2014

Evaluating The Impact Of A Shared Pharmaceutical Supply Chain Model To Minimize Counterfeit Drugs, Diverted Drugs, And Drug Shortages, Jae Bong Choi

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

The pharmaceutical supply chain in the United States of America (USA) is getting complicated and is often not controllable due to a globally open market, increasing online market, and many illegal activities. Consumers who cannot afford to buy high priced genuine products are tempted by easily accessible counterfeit drugs on illegal web site pharmacies in or out of the USA. Many corrupt participants, such as wholesalers or pharmacies in the supply chain, take advantage of weak enforcement and a flawed drug supply chain for financial gain. The public health system and numerous patients are in, or could be in, painful …

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Facility Capital Equipment And Labor Decision Support System Using A Discrete-Event Simulation And Bottleneck Detection Approach, Mohammed Almansouri Jan 2014

Facility Capital Equipment And Labor Decision Support System Using A Discrete-Event Simulation And Bottleneck Detection Approach, Mohammed Almansouri

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Market demand is constantly changing. Therefore, it is critical for companies to be flexible and willing to adapt in order to remain competitive. This study will evaluate bottleneck detection techniques that have been identified in previous research by comparing the performance of each method on all case study models that can be replicated from the literature. The purpose of this analysis is to identify the most efficient and reliable bottleneck detection algorithm(s) which are capable of supporting constraint identification on a wide range of production system classes and configurations. The primary objective will be to identify a robust bottleneck detection …

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Rmse-Elm: Recursive Model Based Selective Ensemble Of Extreme Learning Machines For Robustness Improvement, Bo Han, Bo He, Mengmeng Ma, Tingting Sun, Tianhong Yan, Amaury Lendasse Jan 2014

Rmse-Elm: Recursive Model Based Selective Ensemble Of Extreme Learning Machines For Robustness Improvement, Bo Han, Bo He, Mengmeng Ma, Tingting Sun, Tianhong Yan, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

For Blended Data, the Robustness of Extreme Learning Machine (Elm) is So Weak Because the Coefficients (Weights and Biases) of Hidden Nodes Are Set Randomly and the Noisy Data Exert a Negative Effect. to Solve This Problem, a New Framework Called "RMSE-ELM" is Proposed in This Paper. It is a Two-Layer Recursive Model. in the First Layer, the Framework Trains Lots of Elms in Different Ensemble Groups Concurrently and Then Employs Selective Ensemble Approach to Pick Out an Optimal Set of Elms in Each Group, Which Can Be Merged into a Large Group of Elms Called Candidate Pool. in the …

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Interpolation-Based Super-Resolution Reconstruction: Effects Of Slice Thickness, Amir Pasha Mahmoudzadeh, Nasser H. Kashou Jan 2014

Interpolation-Based Super-Resolution Reconstruction: Effects Of Slice Thickness, Amir Pasha Mahmoudzadeh, Nasser H. Kashou

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Standard clinical magnetic resonance imaging (MRI) is acquired in two-dimensions where the in-plane resolution is higher than the slice select direction. These acquisitions include axial, coronal, and sagittal planes. To date, there have been few attempts to combine the information of these three orthogonal orientations. This paper aims to take advantage of the different in-plane resolution acquired from each plane orientation and combine them into one volume in order to attain a higher resolution image. This combination of MRI data will allow the detection of smaller areas that would otherwise be missed using only one slice orientation. A comparison of …

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An Unsupervised Consensus Control Chart Pattern Recognition Framework, Siavash Haghtalab Jan 2014

An Unsupervised Consensus Control Chart Pattern Recognition Framework, Siavash Haghtalab

Electronic Theses and Dissertations

Early identification and detection of abnormal time series patterns is vital for a number of manufacturing. Slide shifts and alterations of time series patterns might be indicative of some anomaly in the production process, such as machinery malfunction. Usually due to the continuous flow of data monitoring of manufacturing processes requires automated Control Chart Pattern Recognition(CCPR) algorithms. The majority of CCPR literature consists of supervised classification algorithms. Less studies consider unsupervised versions of the problem. Despite the profound advantage of unsupervised methodology for less manual data labeling their use is limited due to the fact that their performance is not …

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Phase I Monitoring With Applications In Manufacturing And Healthcare, Smriti Neogi Jan 2014

Phase I Monitoring With Applications In Manufacturing And Healthcare, Smriti Neogi

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

This research develops statistical methods for quality monitoring in complex systems. Quality monitoring typically consists of two phases called Phase I analysis (or offline monitoring) and Phase II analysis (or online monitoring). This research is focused on Phase I monitoring. Two application areas are considered, complex manufacturing processes and healthcare delivery processes. In the first application, a robust strategy for Phase I analysis of optical profiles in low-E glass manufacturing is developed. The proposed approach aims to solve the problems such as violation of normality, high dimensionality, detection of multiple change points, etc. It will provide a convenient process monitoring …

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การลดสิ่งแปลกปลอมในกระบวนการสร้างเส้นลายวงจรในโรงงานผลิตแผงวงจรไฟฟ้าชนิดอ่อน, ปิยะนันท์ สยนานนท์ Jan 2014

การลดสิ่งแปลกปลอมในกระบวนการสร้างเส้นลายวงจรในโรงงานผลิตแผงวงจรไฟฟ้าชนิดอ่อน, ปิยะนันท์ สยนานนท์

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้มีวัตถุประสงค์เพื่อลดปริมาณของเสียที่เกิดจากปัญหาสิ่งแปลกปลอมในกระบวนการสร้างเส้นลายวงจรในโรงงานผลิตแผงวงจรไฟฟ้าชนิดอ่อน โดยการประยุกต์ใช้แนวคิด ซิกซ์ ซิกมา งานวิจัยเริ่มจากการนิยามปัญหาสิ่งแปลกปลอมในกระบวนการสร้างเส้นลายวงจร การวัดเพื่อกำหนดสาเหตุของปัญหาได้เลือกปัจจัยนำเข้าหลักมาพิสูจน์ความมีนัยสำคัญ การวิเคราะห์สาเหตุของปัญหาโดยการประยุกต์ใช้การออกแบบการทดลองเชิงแฟคทอเรียลแบบ 2 ระดับ (2k Factorial Design) เพื่อศึกษาอิทธิพลของปัจจัยที่มีผลต่อการทำให้เกิดของเสีย โดยพบว่ามี 3 ปัจจัยหลักที่เกี่ยวข้องกับของเสียที่เกิดขึ้น คือ ความเข้มของแสง UV ในกระบวนการถ่ายเส้นลายวงจร ความเข้มข้นของสารละลายโซเดียมไฮดรอกไซด์ และอุณหภูมิของสารละลายโซเดียมไฮดรอกไซด์ในกระบวนการลอกลายเส้นลายวงจร ซึ่งเมื่อทําการทดลองเพื่อหาระดับปัจจัย สรุปได้ว่าระดับของปัจจัยที่เหมาะสมในการลดปัญหาสิ่งแปลกปลอม คือ ความเข้มของแสง UV 50 mJ/cm2 ในกระบวนการถ่ายเส้นลายวงจร อุณหภูมิของสารละลายโซเดียมไฮดรอกไซด์ 48°C และ ความเข้มข้นของสารละลายโซเดียมไฮดรอกไซด์ 3.5%wt ในกระบวนการลอกลายเส้นลายวงจร จากนั้นจึงกำหนดแผนการควบคุมตัวแปรต่างๆ โดยจัดทำเป็นมาตรฐานวิธีการปฏิบัติงาน ผลหลังการปรับปรุงพบว่าค่าเฉลี่ยของเสียลดลงจาก 0.27% เหลือเพียง 0.004% โดยการประเมินปริมาณการผลิตคาดว่ามูลค่าความสูญเสียจะลดลงได้ถึง 336,770 บาทต่อเดือน

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Dispatch, Delivery, And Location Logistics For The Aeromedical Evacuation Of Time-Sensitive Military Casualties Under Uncertainty, Benjamin Grannan Jan 2014

Dispatch, Delivery, And Location Logistics For The Aeromedical Evacuation Of Time-Sensitive Military Casualties Under Uncertainty, Benjamin Grannan

Theses and Dissertations

Effective aeromedical evacuation of casualties is one of the most important problems in military medical systems because high-priority casualties will not survive without timely medical care. The decision making process for aeromedical evacuation consists of the following components: (1) identifying which aeromedical evacuation asset (see figure 1) to dispatch to the casualty, (2) locating aeromedical evacuation assets strategically in anticipation of incoming demand, and (3) deciding which medical treatment facility to transport the casualty. These decisions are further complicated because prioritization of casualties is based on severity of injury while aeromedical evacuation assets and medical treatment facilities operate with varying …

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Rheological Model Of Force Transmission Through The Helmet And Concussion Sensitivity, Isiah Kendall, Anthony Vicini, Tarun Goswami Jan 2014

Rheological Model Of Force Transmission Through The Helmet And Concussion Sensitivity, Isiah Kendall, Anthony Vicini, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

In contact sports, head-to-head collisions can lead to concussions, which pose serious health risks to players. This research aims to understand the force transfer from the helmet to the brain that causes concussions in collisions using a rheological model. Experimental data was gathered from players in the National Football League and testing of one type of helmet and padding. The rheological model was verified with published data and good correlation was achieved. Further sensitivity analysis of concussion risk was performed with respect to force, body weight, mass, and impact duration fit to normal and Weibull distributions using Monte Carlo simulations …

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Positioning Automated Guided Vehicles In A General Guide-Path Layout, Abraham Mendoza, Jose A. Ventura Jan 2014

Positioning Automated Guided Vehicles In A General Guide-Path Layout, Abraham Mendoza, Jose A. Ventura

13th IMHRC Proceedings (Cincinnati, Ohio. USA – 2014)

The locations of dwell points for idle vehicles in an automated guided vehicle (AGV) system determine the response times for pick-up requests and thus affect the performance of automated manufacturing systems. In this study, we address the problem of optimally locating dwell points for multiple AGVs in general guide-path layouts with the objective of minimizing the maximum response time in the system. We propose a mixed integer linear programming (MILP) formulation for the problem. We also develop a generic genetic algorithm (GA) to find near optimal solutions. The MILP model and GA procedure are illustrated using a two-dimensional grid layout …

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Integrating Analysis Into A Warehouse Design Workflow, Leon Mcginnis, Timothy Sprock Jan 2014

Integrating Analysis Into A Warehouse Design Workflow, Leon Mcginnis, Timothy Sprock

13th IMHRC Proceedings (Cincinnati, Ohio. USA – 2014)

Supply chain analyses, including those related to material handling systems, are typically purpose-built to answer specific questions and therefore have many different implementations depending on the question, the instance data, and the solver. The purpose-built nature of these models makes it difficult to integrate them into an iterative design workflow. Despite the myriad analysis implementations, the fundamental structure of these systems and their problem domain remains unchanged, suggesting that perhaps analyses could be automatically generated on demand, given an appropriate specification of the particular system to be analyzed. We apply model-based systems engineering (MBSE) methodologies to explore this possibility in …

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Throughput Analysis Of S/R Shuttle Systems, Georg Kartnig, Jörg Oser Jan 2014

Throughput Analysis Of S/R Shuttle Systems, Georg Kartnig, Jörg Oser

13th IMHRC Proceedings (Cincinnati, Ohio. USA – 2014)

Shuttle systems are used in high performance automated storage/retrieval unit load systems. Each storage level is serviced by one transfer car travelling in dual command operation. One buffer slot is located at both ends of each level. This decouples horizontal travel from vertical input/output moves, which in this case requires two independent vertical reciprocating lifts at each end of the aisle. Other systems work with only one lift used in lower throughput applications. The content of this paper is treated in the following sections starting with a problem definition and a literature survey. This is followed by a detailed functional …

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Variation In Lifting Behavior During A Highly Repetitive Manual Material Task, Steven A. Lavender Jan 2014

Variation In Lifting Behavior During A Highly Repetitive Manual Material Task, Steven A. Lavender

13th IMHRC Proceedings (Cincinnati, Ohio. USA – 2014)

Presenters will provide.

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Clickstream Big Data And “Delivery Before Order Making” Mode For Online Retailers, Yeming Yale Gong, Haoxuan Xu Jan 2014

Clickstream Big Data And “Delivery Before Order Making” Mode For Online Retailers, Yeming Yale Gong, Haoxuan Xu

13th IMHRC Proceedings (Cincinnati, Ohio. USA – 2014)

Our research is inspired by a leading online retailer using clickstream big data to estimate customer demand and then ship items to customers or hubs near customers by a mode of “delivery before order making” (DBOM) mode. Using clickstream data to obtain advance demand information in order quantities, we integrate the forecasting with a singleitem uncapacitated dynamic lot sizing problem in a rolling-horizon environment. Using the simulated clickstream data, we evaluate the performance of DBOM mode.

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Comparing Industry And Academic Perspectives On Cross-Docking Operations, Paul Buijs, Iris F.A. Vis Jan 2014

Comparing Industry And Academic Perspectives On Cross-Docking Operations, Paul Buijs, Iris F.A. Vis

13th IMHRC Proceedings (Cincinnati, Ohio. USA – 2014)

This paper performs a comparative analysis on the industry and academic perspectives on cross-docking operations. Detailed descriptions are provided for three typical cross-dock settings by means of case illustrations. The purpose of these descriptions is to inspire break-through innovations in future cross-docking research by identifying constraints, decision problems, and performance indicators that are thoroughly anchored in current practice.

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