Operations Research, Systems Engineering and Industrial Engineering Commons^™

Development Of A Heuristics For A Criteria Based Planning Of Pallet Storage Systems, Detlef Spee, Michael Schmidt, Steffen Schieweck

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

Reproducible and quantitative reasoning as the foundation for high-quality planning processes evolves to be key to achieve high quality of speed for logistical processes. This article strives to fulfill this demand by developing a coherent heuristics for the planning of pallet storage systems. The heuristics uses quantitative approaches provided by the available literature. In case of nonexistent sources, the missing components are developed and integrated. To be applicable in an industrial environment, the comparison and assessment of the created implementation alternatives is mainly monetary based. The heuristics follows a modular structure to achieve adaptability and extensibility. It explicitly does not …

Data Model And Software Tools For Modeling Picking Operations, Jeffrey S. Smith

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

Presenter will provide.

An Analysis Of Single-Command Operations In A Mobile Rack (As/Rs) Served By A Single Order Picker, Amine Hakim Guezzen, Zaki Sari

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

A Mobile rack Automated Storage and Retrieval Systems (MAS/ RS) are picker-to-stock retrieval model which are a variation of the multi aisles AS/RS. This mobile storage system is composed of racks moving laterally on rails so that one can open an aisle between any two adjacent racks, the input/output system, the storage and retrieval (S/R) machine and the computer management system or the control system. Evaluating an AS/RS could be done using several performance indicators, the two most important ones are: The utilization rate of the S/R machine and the average time necessary to serve storage or retrieval requests (the …

Order Batching With Time Constraints In A Parallel-Aisle Warehouse: A Multiple-Policy Approach, Soondo Hong, Andrew L. Johnson, Brett A. Peters

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

A commitment of delivery time is critical in some online businesses (De Koster, 2003). An important challenge to meeting customers’ needs is timely order picking which is also relevant to worker safety, item freshness, overall operational synchronization, and reduced overtime. We analyze an order batch picking situation where a trip is constrained by vehicle capacity and must be completed within a specified time. We develop a model which partitions orders to batches to minimize the total travel time such that each trip meets the orders’ time constraints and capacity limit, and also determines a suitable operational policy for each batch. …

Designing Retail Facilities To Improve Product Exposure, Pratik J. Parikh, Corinne Mowrey

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

A retail facility should effectively engage consumers during their shopping trips if they want to convert demand into purchases. Unfortunately, the complexity of the retailing environment and lack of scientific tools often results in gut-feel approaches experimented in practice. A key factor to retail design often alluded to, but rarely analyzed, is product exposure to the travelling shopper. We define the extent of the shopper's field of vision in order to determine the actual exposure of products experienced by a traveling shopper. In so doing, we can explore the effect rack orientation has on product exposure. Our main contributions include …

Modular Design Of Physical Internet Transport, Handling And Packaging Containers, Benoit Montreuil, Eric Ballot, William Tremblay

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

This paper proposes a three‐tier characterization of Physical Internet containers into transport, handling and packaging containers. It first provides an overview of goods encapsulation in the Physical Internet and of the generic characteristics of Physical Internet containers. Then it proceeds with an analysis of the current goods encapsulation practices. This leads to the introduction of the three tiers, with explicit description and analysis of containers of each tier. The paper provides a synthesis of the proposed transformation of goods encapsulation and highlights key research and innovation opportunities and challenges for both industry and academia.

An Experimental Study Of The Impact Of Warehouse Parameters On The Design Of A Case-Picking Warehouse, Russell D. Meller, Lisa M. Thomas

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

The best design for a warehouse is based on its ability to meet the demands placed on the warehouse, which are typically characterized by warehouse parameters like the order , inventory requirements, etc. Consequently, these parameters should be considered in the design process. In this paper we characterize the design of a case-picking ware- house with design variables and identify the warehouse parameters that have the greatest impact in setting the values of these variables. With our analysis, the search for the optimal design can be reduced by limiting the design space considered.

A Frame Work And Analysis To Inform The Selection Of Piece-Level Order-Fulfillment Technologies, Jennifer A. Pazour, Russell D. Meller

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

Thepiece-levelorder-fulfillmenttechnologyselectionproblemisanimportantstrategicproblemthatsignificantlyimpactsdistributioncentercosts andoperations,andistypicallysolvedbasedonempiricalexperiences.Given ademandcurveandasuiteofavailablepiece-levelorder-fulfillmenttechnologies, weanalyzewhereinthedemandcurvedifferentorder-fulfillment technologiesshouldbeapplied. Todoso, wedevelopaframeworkthat jointlydeterminesthebestcombinationofpiece-levelorder-fulfillmenttechnologiesandtheassignmentofSKUstothesetechnologies, whichrelaxes thesequential-modelingapproachofpreviousresearch. Wevalidateour methodologywithindustrydataandshowthatour modelprovidestechnologyrecommendationsandSKUassignmentsthatareconsistent with successfulimplementations. Throughasetofnumericalexperimentsand statisticalanalysis,weidentifykeyfactorsinimplementingmanualversus automatedorder-fulfillmenttechnologiesandprovideobservationsintothe applicationofdifferentorder-fulfillmenttechnologystrategies.Finally,we presentconclusionsandfutureresearchdirections.

Optimization Of Skus' Locations In Warehouse, David Sourek, Vaclav Cempirek

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

Many companies, which deal with warehousing, optimize their warehouses. The main business of these companies is to offer to customers the warehousing services. It is possible to note that these companies are specialized in warehousing. On the other hand, we can find companies, which have as the main business the selling of goods to customers. These companies use the warehouses too but in a little bit different way. The arrangement of their warehouses can be very unsuitable and convenient for optimization. Our paper is focused on optimization of stored goods’ locations based on market basket analysis. The solution of this …

Grid Facilities Design: Dynamic Modular Deployment Of Production, Handling And Storage Resources, Suzanne Marcotte, Benoit Montreuil

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

To survive and thrive in a fast-moving environment, facilities must be designed to show adaptability, flexibility and robustness. As some facilities are depicted by heavy and sophisticated equipment costly and hard to displace, others are composed of moveable workstations with highly flexible workers. In most cases, the trade-off is between the cost of redeploying the resources and the excessive cost of material handling and storage incurred by an inefficient deployment of the resources. We propose a design strategy based on (1) conceiving and designing the facility as a stable grid of modules, (2) dynamically deploying production, storage and handling resources …

Modeling And Optimization Of Radio Frequency Identification Networks For Inventory Management, Atipong Suriya, Jose D. Porter

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

Stock loss and out-of-stocks are outcomes of poorly designed inventory management systems and can lead to significant revenue losses. Inventory management systems (IMSs) based on radio frequency identification (RFID) have the potential to minimize these losses if they are properly designed and deployed. However, the placement of RFID readers to support IMSs is often done on a trial and error basis which is time consuming and results in less than optimal coverage. A methodology to find the optimal location and number of RFID readers in a warehouse facility to ensure a desired level of radio frequency signal coverage was developed …

Real-Time Dock Door Monitoring System Using A Kinect Sensor, Hector J. Carlo, Cristina Pomales- Garcia, Yeiram Martinez

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

This study presents a proof of concept where a single Microsoft Kinect sensor is used for automated monitoring of a dock door in real-time. The proposed system will automatically and in real-time: (1) detect when an object breaches the dock door perimeter, and its corresponding speed and direction, (2) count the number of pallets loaded/unloaded to/from a trailer, (3) record the loading/unloading time of each load, and (4) reconstruct an image of every loading/unloading trip at a dock door, irrespectively of the material handling travel speed and direction. Particular emphasis is given to discussing how to extend the proposed concept …

Global E-Mentoring: Overcoming Virtual Distance For An Effective Mentoring Relationship, Nancy Philippart

Wayne State University Dissertations

Mentoring can enhance an employee's career development and advancement but traditional face-to-face mentoring has become less relevant because of globalization, increased employee mobility and technology-enabled work. A new mentoring model enabled by technology has emerged to meet the needs of today's complex, fast changing global workplace. Although e-mentoring has several advantages over traditional mentoring, the absence of regular face-to-face interactions requires different strategies to develop an effective mentoring relationship. Moreover, additional complexities arise when this virtual mentoring is global.

This research utilizes the construct of virtual distance, the "psychological separation" that has been found to impact performance outcomes of geographically …

Prioritizing Offshore Vendor Selection Criteria For The North American Geospatial Industry, Simon Wolfgang Musaeus

Walden Dissertations and Doctoral Studies

The U.S. market for geospatial services totaled US $2.2 billion in 2010, representing 50% of the global market. Data-processing firms subcontract labor-intensive portions of data services to offshore providers in South and East Asia and Eastern Europe. In general, half of all offshore contracts fail within the first 5 years because one or more parties consider the relationship unsuccessful. Despite the high failure rates, no study has examined the offshore vendor selection process in the geospatial industry. The purpose of this study was to determine the list of key offshore vendor selection criteria and the efficacy of the analytic hierarchy …

Strategic Decision Support System Using Heuristic Algorithm For Practical Outlet Zones Allocation To Dealers In A Beer Supply Distribution Network, Michelle Lee Fong Cheong

Research Collection School Of Computing and Information Systems

We consider a two-echelon beer supply distribution network with the brewer replenishing the dealers and the dealers serving the outlet zones directly, for multiple product types. The allocation of the outlet zones to the dealers will determine the quantity of products the brewer replenishes each dealer, which will in turn impact the total warehousing and transportation costs. The non-linear optimization model formulated is difficult to solve to optimality, and the model itself does not include practical business considerations in the distribution business. A heuristics algorithm is designed and easily implemented using spreadsheets with Visual Basic programming to effectively and efficiently …

Human Capital Management Within The Federal Government Utilizing Generational Stratification With A Focus On Generation Y, Ian Nathaniel Barford

Engineering Management & Systems Engineering Theses & Dissertations

With many individuals in the Baby Boomer generation eligible to retire, many open positions will need to be filled by other Baby Boomers, or those from Generation X or Generation Y. Private industry has taken note of this and has been exploring workplace differences between Generation Y, Generation X, and Baby Boomers. Unfortunately for the federal government, data shows Generation Y is also separating; specifically quitting for unknown reasons. Understanding this apparent dichotomy between Generation Y and Generation X and Baby Boomer federal government employees is a current knowledge gap within the federal government's strategic human capital management focus.

From …

Analysis Of The Industrial Skill Set; Lewis County Case Study, Jonathan Shane Wallingford

Morehead State Theses and Dissertations

A Thesis Presented to the Faculty of the College of Science and Technology Morehead State University in Partial Fulfillment of the requirements for the Degree Master of Science by Jonathan Shane Wallingford on December 13, 2013.

Social Media For Supply Chain Risk Management, Xiuju Fu, Rick S. M. Goh, J. C. Tong, Loganathan Ponnanbalam, Xiaofeng Yin, Zhaoxia Wang, H. Y. Xu, Sifei Lu

Research Collection School Of Computing and Information Systems

With the rapid increase of online social network users worldwide, social media feeds have become a rich and valuable information resource and attract great attention across diversified domains. In social media data, there are abundant contents of two-way and interactive communication about products, demand, customer services and supply. This makes social media a valuable channel for listening to the voices from the market and measuring supply chain risks and new market trends for companies. In this study, we surveyed the potential value of social media in supply chain risk management (SCRM) and examined how they can be applied to SCRM …

Decision Trees To Model The Impact Of Disruption And Recovery In Supply Chain Networks, Loganathan Ponnanbalam, L. Wenbin, Xiuju Fu, Xiaofeng Yin, Zhaoxia Wang, Rick S. M. Goh

Research Collection School Of Computing and Information Systems

Increase in the frequency of disruptions in the recent times and their impact have increased the attention in supply chain disruption management research. The objective of this paper is to understand as to how a disruption might affect the supply chain network - depending upon the network structure, the node that is disrupted, the disruption in production capacity of the disrupted node and the period of the disruption - via decision trees. To this end, we first developed a 5-tier agent-based supply chain model and then simulated it for various what-if disruptive scenarios for 3 different network structures (80 trials …

A Dynamic Programming Approach To Achieving An Optimal End State Along A Serial Production Line, Shih-Fen Cheng, Blake E. Nicholson, Marina A. Epelman, Daniel J. Reaume, Robert L. Smith

Research Collection School Of Computing and Information Systems

In modern production systems, it is critical to perform maintenance, calibration, installation, and upgrade tasks during planned downtime. Otherwise, the systems become unreliable and new product introductions are delayed. For reasons of safety, testing, and access, task performance often requires the vicinity of impacted equipment to be left in a specific “end state” when production halts. Therefore, planning the shutdown of a production system to balance production goals against enabling non-production tasks yields a challenging optimization problem. In this paper, we propose a mathematical formulation of this problem and a dynamic programming approach that efficiently finds optimal shutdown policies for …

An Agent-Based Simulation Approach To Experience Management In Theme Parks, Shih-Fen Cheng, Larry Junjie Lin, Jiali Du, Hoong Chuin Lau, Pradeep Reddy Varakantham

Research Collection School Of Computing and Information Systems

In this paper, we illustrate how massive agent-based simulation can be used to investigate an exciting new application domain of experience management in theme parks, which covers topics like congestion control, incentive design, and revenue management. Since all visitors are heterogeneous and self-interested, we argue that a high-quality agent-based simulation is necessary for studying various problems related to experience management. As in most agent-base simulations, a sound understanding of micro-level behaviors is essential to construct high-quality models. To achieve this, we designed and conducted a first-of-its-kind real-world experiment that helps us understand how typical visitors behave in a theme-park environment. …

Theory Of Constraints Project Management In A Manufacturing Environment, Shihching Kraft

Mechanical & Aerospace Engineering Theses & Dissertations

The following thesis covers the concepts of Theory of Constraints (TOC) Project Management. Introduced by Eliyahu M. Goldratt in I 984, TOC is a management philosophy that focuses on the use of critical chain project management to prioritize everyday tasks in a company. In TOC Project Management, there is always at least one resource constraint that limits the speed at which projects are completed. TOC management philosophy also recognizes that most projects in the manufacturing industry face unknown schedule delays that could cause projects to be completed late or over the planned budget. During project plan creation, plans are developed …

On The Allocation Of Exclusive-Use Counters For Airport Check-In Queues: Static Vs. Dynamic Policies, Mahmut Parlar, Brian Rodrigues, Sharafali Moosa

Research Collection Lee Kong Chian School Of Business

In this paper we propose a static policy for the optimal allocation of a fixed number of exclusive-use check-in counters dedicated to a single flight. We first provide the motivation for considering the static policy by showing that the dynamic policy already available in the literature suffers from the curse of dimensionality. The objective is to minimize the (expected) total cost of waiting, counter operation, and passenger delay costs which we show to be convex in the number of counters allocated. In those cases where the passenger delay cost is difficult to estimate, we propose an alternative formulation and minimize …

The Role Of Third Party Logistics Providers (3pls) In The Adoption Of Green Supply Chain Initiatives, Edward Sweeney, Pietro Evangelista, Maria Huge-Brodin, Karin Isaksson

Practitioner Journals

The increasing importance of environmental sustainability has sharpened the focus on the need for innovative approaches to the purchasing of transport and logistics services. This article points out some of the challenges that purchasers of transport and logistics services, as well as their suppliers in the third party logistics (3PL) industry, are facing. These include the need for closer collaboration between 3PLs and their customers, as well as developing systems for the robust assessment of the environmental sustainability of services. The article is based on several years’ research experience inIreland,ItalyandSweden.

Predicting Hospital Patients' Admission To Reduce Emergency Department Boarding, Mohammadmahdi Moqri

Graduate Masters Theses

Emergency Department (ED) boarding - the inability to transfer emergency patients to inpatient beds- is a key factor contributing to ED overcrowding. This paper presents a novel approach to improving hospital operational efficiency and, therefore, to decreasing ED boarding. Using the historic data of 15,000 patients, admission results and patient information are correlated in order to identify important admission predictor factors. For example, the type of radiology exams prescribed by the ED physician is identified as among the most important predictors of admission. Based on these factors, a real-time prediction model is developed which is able to correctly predict the …

Riskvis: Supply Chain Visualization With Risk Management And Real-Time Monitoring, Rick S. M. Goh, Zhaoxia Wang, Xiaofeng Yin, Xiuju Fu, Loganathan Ponnanbalam, Sifei Lu, Xiaorong Li

Research Collection School Of Computing and Information Systems

With increased complexity, supply chain networks (SCNs) of modern era face higher risks and lower efficiency due to limited visibility. Hence, there is an immediate need to provide end-to-end supply chain visibility for efficient management of complex supply chains. This paper proposes a visualization scheme based on multi-hierarchical modular design and develops a supply chain visualization platform with risk management and real-time monitoring, named RiskVis, for realizing better Supply Chain Risk Management (SCRM). A Supply Chain Visualizer (SCV) with a graphical visualization platform is mounted as a part of a SCRM management decision-making dashboard and it provides senior management a …

A Multi-Objective Memetic Algorithm For Vehicle Resource Allocation In Sustainable Transportation Planning, Hoong Chuin Lau, Lucas Agussurja, Shih-Fen Cheng, Pang Jin Tan

Research Collection School Of Computing and Information Systems

Sustainable supply chain management has been an increasingly important topic of research in recent years. At the strategic level, there are computational models which study supply and distribution networks with environmental considerations. At the operational level, there are, for example, routing and scheduling models which are constrained by carbon emissions. Our paper explores work in tactical planning with regards to vehicle resource allocation from distribution centers to customer locations in a multi-echelon logistics network. We formulate the bi-objective optimization problem exactly and design a memetic algorithm to efficiently derive an approximate Pareto front. We illustrate the applicability of our approach …

Interacting Knapsack Problem In Designing Resource Bundles, Truong Huy D. Nguyen, Pradeep Reddy Varakantham, Hoong Chuin Lau, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

In many real-life businesses, the service provider/seller keeps a log of the visitors’ behavior as a way to assess the efficiency of the current business/operation model and find room for improvement. For example, by tracking when visitors entering attractions in a theme park, theme park owners can detect when and where congestion may occur, thus having contingency plans to reroute the visitors accordingly. Similarly, a Cable TV service provider can track channel switching events at each household to identify uninteresting channels. Subsequently, the repertoire of channels up for subscription can evolve over time to better serve the entertainment demand of …

“Network-Theoretic” Queuing Delay Estimation In Theme Park Attractions, Ajay Aravamudhan, Archan Misra, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Queuing is a common phenomenon in theme parks which negatively affects visitor experience and revenue yields. There is thus a need for park operators to infer the real queuing delays without expensive investment in human effort or complex tracking infrastructure. In this paper, we depart from the classical queuing theory approach and provide a data-driven and online approach for estimating the time-varying queuing delays experienced at different attractions in a theme park. This work is novel in that it relies purely on empirical observations of the entry time of individual visitors at different attractions, and also accommodates the reality that …

Improving Patient Length-Of-Stay In Emergency Department Through Dynamic Resource Allocation Policies, Kar Way Tan, Wei Hao Tan, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

In this work, we consider the problem of allocating doctors in the ambulatory area of a hospital's emergency department (ED) based on a set of policies. Traditional staffing methods are static, hence do not react well to surges in patient demands. We study strategies that intelligently adjust the number of doctors based on current and historical information about the patient arrival. Our main contribution is our proposed data-driven online approach that performs adaptive allocation by utilizing historical as well as current arrivals by running symbiotic simulation in real-time. We build a simulation prototype that models ED process that is close …