Conference Session

Industrial Engineering Division Tech Session 2, IE-ing the Classroom

Collection

2017 ASEE Annual Conference & Exposition

Authors

Alejandro Salado, Virginia Tech; John Ray Morelock, Virginia Tech; Arash Baghaei Lakeh, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

inaccordance with conditions that continually changed in response to competitors’ actions.Adaptability involved managing uncertainty through negotiations with other teams andinnovating within the game’s ruleset to secure advantages. Third, the game was built to promoteconstrained decision-making, as students needed to understand what information was needed toapply certain engineering techniques or make engineering decisions, as well as distinguish whichdecisions were appropriate for the given amount of information and time they had to completethe game.The purpose of this qualitative study was to identify evidence of learning during the game and todetermine, for future iterations, (1) what learning frameworks fit the data to inform the game’sdesign and

Conference Session

Assessment and Accreditation in Engineering Management

Collection

2012 ASEE Annual Conference & Exposition

Authors

Maxwell Reid, Auckland University of Technology

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

codes, data bases and literature, design andconduct experiments to provide valid. The Education Act of 1989 requires teaching inbachelor degree programmes by staff mainly engaged in research, with an emphasis on thegeneral principles and basic knowledge as the basis for self-directed work and learning2.Accreditation is confirmation that an institution or registered provider has shown it is capableof delivering an approved course. . Courses leading to degrees approved by NZQA may onlybe delivered by providers accredited to do so by the New Zealand Qualifications authority(NZQA). The AUT degree programmes conform to the NZQA definitions of a degree in sofar as that our graduates of a Bachelors degree programme are able to: 1. Demonstrate

Conference Session

Engineering Economy Division Technical Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Omar Ashour, The Pennsylvania State University, The Behrend College; Faisal Aqlan, Penn State Behrend; Paul C. Lynch, Penn State Erie, The Behrend College

Tagged Divisions

Engineering Economy

until this semester (Fall 2016). Figure 1 shows a graphicalrepresentation of mastery learning and assessment. In this study, a variation of the masterylearning and assessment approach is implemented in this course. The Engineering Economycourse is a hybrid in the sense that the mastery learning and assessment is used in the first thirdof the course where students are required to successfully solve problems before receiving creditfor their work. The pace of the course is led by the instructor. The remaining two thirds of thecourse is taught using the traditional learning and assessment approach where grades are basedon partial credit and no retakes are allowed. Table 1 shows the topics of the EngineeringEconomy course and the portions where

Conference Session

Engineering Economy -- The Introductory Course

Collection

2008 Annual Conference & Exposition

Authors

Christopher Jablonowski, University of Texas at Austin

Tagged Divisions

Engineering Economy

curricula include chapters ormodules on decision analysis, and decision trees are often introduced and promoted as a decisionmaking tool. The teaching of value of information (VOI) analysis within the decision analysisframe is less prevalent, notwithstanding the variety of potential applications to everydaydecisions in engineering practice. This paper seeks to remedy this gap by providing an accessibledemonstration of how decision trees can be used to teach important VOI concepts, including ananalysis of the role of risk preferences.It is often most efficient to set up and solve VOI problems in a generalized analytical framework,and this is often the approach taken in applied research.1-3 But analytical representations of VOIproblems are not

Conference Session

Engineering Economy -- The Introductory Course

Collection

2008 Annual Conference & Exposition

Authors

Joseph Hartman, University of Florida

Tagged Divisions

Engineering Economy

lingering questionat the end of class and submitting it upon exit or working out a problem in the middle of classwith a neighbor might have been viable. These will be examined in future course offerings.Using Projects and Open-Ended ExamsTeaching engineering economy in a decision-making context lends itself to the study of anumber of real, open-ended problems. To this end, I assign four projects (the first is minorcompared to the other three) throughout the semester: 1. Find and evaluate two loans (from a newspaper or the Web) for the car of your choice and illustrate which is better. (Performed with two randomly selected partners.) 2. Develop an automated spreadsheet that takes user inputs about a project (investment, horizon

Conference Session

Effective Tools for Teaching Engineering Economy

Collection

2007 Annual Conference & Exposition

Authors

Sarah Ryan, Iowa State University; John Jackman, Iowa State University; Rahul Marathe, Iowa State University; Pavlo Antonenko, Iowa State University; Piyamart Kumsaikaew, Iowa State University; Dale Niederhauser, Iowa State University; Craig Ogilvie, Iowa State University

Tagged Divisions

Engineering Economy

students improve their information-reductionskill, we need to assess students’ ability to select relevant information in a realistic problem-solving environment. Therefore, the goals of this study are to: 1. Examine methods for assessing information reduction, 2. Observe changes in information reduction behavior as students solve progressively less- structured problems in an engineering economic analysis course.MethodsThis section describes a web-based system used to administer ill-structured problems andanalysis methods for the data collected.Problem Solving Learning PortalThe Problem Solving Learning Portal (PSLP) is a web-based collaborative environment that wasdesigned to help students improve their problem solving skills using ill

Conference Session

Innovation in Teaching Engineering Economics

Collection

2006 Annual Conference & Exposition

Authors

Joseph Hartman, Lehigh University

Tagged Divisions

Engineering Economy

supplemental information and merely asked whether a capitalinvestment should be pursued or not. It is expected that they will justify their decision, althoughthere are no requirements as to how. We describe our experiences with this approach, which hasbeen implemented for five years now.IntroductionProblem-based learning attempts to engage students in the learning process by having students(1) work on problems that are perceived as relevant or meaningful and (2) fill in gaps whenpresented with a situation that is “incomplete.” Both of these traits are inherent in real problems– data is incomplete, problems are ill-defined, and results are requested without formal paths ofinquiry. Establishing relevance with coursework has been shown to be a critical

Conference Session

New Topics in Engineering Economics

Collection

2006 Annual Conference & Exposition

Authors

Leslie Pagliari, East Carolina University; Gene Dixon, East Carolina University; Paul Kauffmann, East Carolina University; Merwan Mehta, East Carolina University

Tagged Divisions

Engineering Economy

for graduate students in professional master’s programs.East Carolina University (ECU) offers distance education (DE) graduate masters program (MS inTechnology Systems and MS in Occupational Safety) for technology-based managers. Thestudents in the program encompass backgrounds ranging from engineering and business, tonetworking and bio manufacturing. From a curricular content and focus perspective, theseprograms are positioned between the MBA and the master’s in engineering management asshown in Exhibit 1. For example, a primary program goal of the MS in Technology Systems(MS TS) is the professional development of individuals in technology leadership positions. Thismay include individuals with undergraduate engineering degrees, but more

Conference Session

Innovation in Teaching Engineering Economics

Collection

2006 Annual Conference & Exposition

Authors

Ahmad Sarfaraz, California State University-Northridge; Tarek Shraibati, California State University-Northridge

Tagged Divisions

Engineering Economy

based on realdata, formulate the analytical problem to be solved, calculate the rate of return, apply presentworth analysis and after tax analysis. Thorough understanding of these methods will enable themto successfully complete the economic portion of the FE exam.Survey Methodology Page 11.750.3Students in one section of engineering economy classes were anonymously surveyed at the endof the semester to determine their perceptions of the course with respect to types of strategiesimplemented. Students were asked to respond by selecting from a set of given responses. Asample of the survey questions and responses appears in Table 1.Questions 1

Conference Session

The Evolution of Engineering Economy

Collection

2007 Annual Conference & Exposition

Authors

Gerald Thuesen, Georgia Institute of Technology

Tagged Divisions

Engineering Economy

Division had 83members while the Engineering Economy Committee had 23 members16.At the end of World War II, 1945, there was no Annual Meeting of S.P.E.E. The 54thAnnual Meeting during June, 1946 in St. Louis saw a report of the Committee onRevision of the Constitution and By-Laws. This report printed in the April, 1946 issue ofthe Journal of Engineering Education was unanimously accepted by the Council tochange the name of the society to the American Society for Engineering Education(A.S.E.E.). Page 12.807.7On September 1, 1947, William E. Wickenden died at age 65 only a few hours after hisretirement from Case Institute of Technology. He had been President

Conference Session

Improving course effectiveness

Collection

2013 ASEE Annual Conference & Exposition

Authors

Terri M. Lynch-Caris, Kettering University; Mark A. Palmer P.E., Kettering University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

found in various classrooms across thecampus: (1) seating and room layout, (2) boards and projection and (3) computers and videocapture. In addition to the survey data, comments were solicited and compiled for continuousimprovement.A total of 75 students, faculty and staff responded to the survey. Within the three categories ofinstructional technology, three survey questions were asked to determine: (1) which technologieswere used, (2) which technologies did individuals enjoy and (3) which technologies didindividuals feel would enhance learning?There were several conclusions resulting from the data analysis including differences betweenfaculty and student preferences. The most interesting result was the compelling relationshipbetween enjoyment

Conference Session

Innovative IE Curricula

Collection

2013 ASEE Annual Conference & Exposition

Authors

David Paul Sly, Iowa State University; Daniel P Bumblauskas, University of Missouri Harvard University; Adam R Carberry, Arizona State University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

engineering students enrolled in the sales engineering courses between the Fall 2010and Fall 2012 semester were surveyed both at the beginning and end of the semester (N = 33).An instrument was developed for this study to specifically assess demographics, beliefs, andtechnical sales skills taught in the course (Appendix I). Student beliefs were specifically utilizedbecause only the individual can truly express their own attitudes, emotions, and internal stateswithin a specific domain6. The beliefs portion of the survey included six items rated from low tohigh on a scale from 1 to 10. A pre-post analysis of item means was undertaken for these items.The sales skill items were designed around the sales minor and the course content providinginitial

Conference Session

Innovative IE Course Content

Collection

2013 ASEE Annual Conference & Exposition

Authors

Julie Ann Layton, Rensselaer Polytechnic Institute; Thomas Reed Willemain, Rensselaer Polytechnic Institute

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

competitive edge. As they do, theymust resolve unique demands on their information technology, their structure, their processes,and their culture. Most critical, however, is the challenge posed by analytical talent, the peopleat all levels who help turn data into better decisions and better business results.” [1]The above quote is from a publication by Accenture, a global consulting firm, about theimportance of recruiting analytic talent for businesses. In response to this need several collegeshave developed graduate programs in analytics, one of the first being North Carolina StateUniversity’s Institute of Advanced Analytics, which boasts job placement rate of 100% [2].Several other articles echo the need for trained data analysts in the information

Conference Session

Engineering Economy Division Technical Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Neal A Lewis, University of Bridgeport; Ted Eschenbach, University of Alaska Anchorage

Tagged Divisions

Engineering Economy

calculation. The index is updated annually based on average wages, notthe cost of living. The most recent update was October 2012, which added 2011 wageinformation.19A person’s monthly benefit is based on their primary insurance amount (PIA). The PIA is themonthly benefit that a person would receive if they start benefits at their full retirement age(FRA). The computation of the PIA uses a formula which contains two “bend points” thatincrease with inflation. For 2012, the bend points were $767 and $4624. For 2013, the bendpoints are $791 and $4768.20 For 2013, the PIA calculation is as follows: If AIME < $791, PIA = (0.90)(AIME) If $791 < AIME < $4768, PIA = (0.90)(791) + (0.32)(AIME – 791) (1) If AIME >

Conference Session

Innovations in Teaching Engineering Economy

Collection

2014 ASEE Annual Conference & Exposition

Authors

Weihang Zhu, Lamar University; Alberto Marquez P.E., Lamar University; Julia H. Yoo, Lamar University

Tagged Divisions

Engineering Economy

devices. 116 students participated in this study. Surveys and interviewresults showed that the majority of the students who used the app said that the app aided theirlearning. 94% of the users said that they would recommend using the app to others who studyEngineering Economics.* Acknowledgment: This project is partially supported by a grant from the National ScienceFoundation DUE-1140457 to Lamar University. Page 24.3.2 1. Introduction Engineering Economics is a core class in the field of engineering and is also covered on theFundamentals of Engineering (FE) exam, which is the first step to be a Professional Engineer(PE). This course teaches

Conference Session

Integrating Engineering Economy into Curricula

Collection

2014 ASEE Annual Conference & Exposition

Authors

Heath J. LeBlanc, Ohio Northern University; Bryan O'Neil Boulanger, Ohio Northern University

Tagged Divisions

Engineering Economy

performance report detailing the successes and failuresof each individual, the ECE group, and the CE group with whom they worked. A similarreflection piece was required of the CE students.1. IntroductionEach department within our College of Engineering teaches its own section of engineeringeconomy. Engineering economic analysis in practice, however, evaluates projects withcontributions from several different engineering disciplines. In an effort to close the gap betweenthe educational experience and experience in practice, we have developed a project-basedapproach to foster cross-disciplinary interactions between Electrical and Computer Engineering(ECE) students and Civil Engineering and Engineering Technology (CE) students during the Fall2013

Conference Session

Engineering Economy Division Technical Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Weihang Zhu, Lamar University; Alberto Marquez P.E., Lamar University; Julia Yoo, Lamar University

Tagged Divisions

Engineering Economy

LamarUniversity. It will give students more opportunity to learn and practice Engineering Economicswhenever they have spare time. The preliminary assessment results in Fall 2012 semester arepresented in this paper. Surveys and interviews are conducted with randomly selected students toget a better understanding of the impact of the mobile app. The authors are now in the process oftransforming the app into game-style. Further development and improvement with formativeassessment is planned in the next three years.* Acknowledgment: This project is partially supported by a grant from the National ScienceFoundation DUE-1140457 to Lamar University. 1. Introduction Engineering Economics is a core class in engineering and is often required in

Conference Session

Innovative IE Curricula

Collection

2013 ASEE Annual Conference & Exposition

Authors

Susan L. Murray, Missouri University of Science & Technology; Terri M. Lynch-Caris, Kettering University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

protect the health, safety, and welfare of the public. This mission is supported through its member boards, board of directors, staff, board administrators, and volunteers by: • Providing outstanding nationally normed examinations for engineers and surveyors • Providing uniform model laws and model rules for adoption by the member boards • Promoting professional ethics among all engineers and surveyors • Coordinating with domestic and international organizations to advance licensure of all engineers and surveyors Figure 1. NCEES Vision and Mission [NCEES, 2012]II. The Process of Developing Professional TopicsThe NCEES process of re-evaluating

Conference Session

Improving course effectiveness

Collection

2013 ASEE Annual Conference & Exposition

Authors

Susan L. Murray, Missouri University of Science & Technology; Julie Phelps, Missouri S&T, Educational Technology

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

project we exploreengineering students’ willingness and interest in using electronic flashcards.For each class, the resulting flashcards were embedded in the class’s Blackboard page. Studentscould choose to review the cards in a variety of formats and from different devices. Figure 1 is ascreenshot of two electronic flashcards. The top card displays the term and its definition at thesame time (for initial study). The lower card is showing just one side, allowing the students totest themselves. After answering the question, the student can electronically “flip” to the see thecorrect answer. The card sets from each chapter can be combined and shuffled. The material canbe presented in a random matching exercise as well. The electronic flashcards

Conference Session

Innovative IE Curricula

Collection

2013 ASEE Annual Conference & Exposition

Authors

Yunchen Huang, Mississippi State University; Lesley Strawderman, Mississippi State University; John M. Usher P.E., Mississippi State University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

’ questions) andteaching tips and skills.Comparison with Approaches of Mentoring in Current ProgramsComparison of current teaching mentoring practices and our mentoring model is provided inTable 1. Many universities provide TA workshops for graduate students to learn basic teachingtechniques. This provides an opportunity for graduate students to learn how to teach and the TAworkshop help to cultivate their teaching philosophy. However, little hands-on opportunity isgiven to let graduate students practice what they learn from the workshop. Many preparing futurefaculty programs (PFF) share the same limitation. While PFF focuses on developing doctoralstudent’s teaching philosophy and prepare them for a teaching career in academia, few in

Conference Session

Improving course effectiveness

Collection

2013 ASEE Annual Conference & Exposition

Authors

Richard L Marcellus, Northern Illinois University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

engineering while learning basic theory.IntroductionThe heart of engineering practice is design. Thus (ideally), engineering design should beomnipresent in the engineering curriculum, including basic theory courses. This paper discussesstrategies for incorporating a design presence in applied probability courses. The content of thesecourses is basic probability, reliability models, Markov chains, the Poisson process, and queuingmodels. In a previous paper1, it was proposed that engineering design activity be incorporatedthrough 1. homework and test problems that emphasize parametric analysis, variations of standard models, and comparison of alternative systems; 2. loosely stated open-ended problems intended to allow creative response

Conference Session

Student Development and Assessment in IE Programs

Collection

2012 ASEE Annual Conference & Exposition

Authors

Mahesh C. Aggarwal, Gannon University; Karinna M. Vernaza, Gannon University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

. Universities must continue to take an active role tostrengthen and grow these partnerships which provide benefits to all involved. Thispaper will focus on models established at a medium size Master’s I Institution. GannonUniversity has established programs in collaboration with local industry that have provento achieve the following objectives: (1) to establish an academia-industry collaborativegraduate program and a Graduate Research Program (GRP), (2) to demonstrate theeffectiveness of programs as a strategy to build up a talent pool of engineeringprofessionals, and (3) to extend the pipeline for engineering professionals who enterexisting leadership programs at local industries.This paper presents general models by which universities approach these

Conference Session

Integrating Research

Collection

2012 ASEE Annual Conference & Exposition

Authors

Kellie Grasman, Missouri University of Science & Technology; Suzanna Long, Missouri University of Science & Technology; Sean Michael Schmidt, Missouri University of Science & Technology

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

instructor-directed environments. While generalized results, these findingsencouraged the Instructor’s hybrid/buffet approach to the course.In order to offer students a buffet of learning resources, a variety of course components wereutilized. The course components were categorized as: 1. Online Resources a. Instructor-Created Modules, consisting of Introduction videos with learning objectives, Lessons in both PowerPoint™ and video form, and Example problem videos. b. WileyPLUS3, the online learning environment associated with Principles of Engineering Economic Analysis 5e by White, Case and Pratt4, consisting of a digital copy of the text as well as Reading and graded Practice

Conference Session

Technology and Equipment to Improve IE Instruction

Collection

2012 ASEE Annual Conference & Exposition

Authors

Richard A. Pitts Jr., Morgan State University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

. These environments are generally automated, complex systems withcomponents such as conveyors, computer-numerically controlled (CNC) machine workstations,automated guided vehicles (AGVs), and robots. Industrial automation can be classified into threeclasses: (1) fixed automation, (2) programmable automation, and (3) flexible automation. Withfixed automation, specially designed equipment is utilized to produce a single product only.Programmable automation uses equipment to make batches of products at a time. Once a singlebatch is finished, the equipment can be reprogrammed to make another batch of products. Onthe other hand, flexible automation allows for the manufacture of different parts to be made atthe same time within the same manufacturing

Conference Session

Methods, Cases, and Directions

Collection

2012 ASEE Annual Conference & Exposition

Authors

Joseph C. Hartman, University of Florida

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

thismaterial can be covered in a large-class setting, including how it can be examined. Our datasuggests that spreadsheets must be incorporated into quizzes and or examinations in order toassess student abilities in these areas. Thus, while our teaching has evolved to includespreadsheets, so must our examination procedures.IntroductionCapital investments require analyses by engineers with tools and insight into whether theinvestment is sound. The field of engineering economy provides these tools. In order to make asound decision, a three-phase approach to evaluate the risk of a project is necessary: 1. Identify the risk, or risks, of an investment project. 2. Analyze the identified risk(s) of the project. 3. Assess how the identified risks

Conference Session

Methods, Cases, and Directions

Collection

2012 ASEE Annual Conference & Exposition

Authors

Pil-Won On, University of Missouri, Columbia; Luis Occena, University of Missouri

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

experienced a dramaticdifference from receiving appropriate instructional design and development support. Table 1summarizes the path of transformation reflected on the instructor’s perspectives. It highlights 10key features which demonstrate significant difference that the instructor perceived during the Page 25.787.2transformation. Key Features Before Receiving After Working with Instructional Support Instructional Designer 1 Course layout Unit based (6 units) Weekly topic based (15 main

Conference Session

Instructional Design

Collection

2012 ASEE Annual Conference & Exposition

Authors

Naveen Seth, New Community College at CUNY; Donald P. O'Keefe, Farmingdale State College

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

are shown below b in Tabble 1, reprodduced from thhe Bureau oofLabor Staatistics.Table 1 Page 25.800.5 urse schedulling softwaree, MS Projecct is used to expose the cclass to project managemIn the cou mentmethods such as Gan ntt Charts an nd Critical Paath Method ((CPM). Thee “Commerccial ConstrucctionProject Plan” P is a tem mplate availaable on the website w that iincludes the sequenced aactivities

Conference Session

Innovations in the IE Curriculum

Collection

2012 ASEE Annual Conference & Exposition

Authors

Ana Vila-Parrish, North Carolina State University; Dianne Raubenheimer, Meredith College

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

approach that integrates project management methods andtools with Lean-Six Sigma methods. An additional objective of this research is to develop abetter understanding of the unique aspects of the engineering problem solving process. Weassessed the student’s problem solving strategies, products, and design process reflections usingWolcott’s “Steps for Better Thinking” rubric 1.IntroductionCapstone courses give students the opportunity to solve large, unstructured problems in aclassroom setting. These team-based projects mimic the industrial setting that most students willenter upon graduation. Throughout the capstone experience students find themselves faced withcomplexities not found in a traditional course, especially when the projects are

Conference Session

Assessment and Accreditation in Engineering Management

Collection

2012 ASEE Annual Conference & Exposition

Authors

Pawel Pawlewski, Poznan University of Technology; Zbigniew J. Pasek, University of Windsor

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

also participate in project competitions. The best projects can also be accepted as undergraduate theses (required for completionof the Stage 1 degree, equivalent to BEng) and can also be continued in the 3rd course of thesequence, focused on application of optimization techniques. This course is offered to 4thyear students in the first year of their master’s program. It focuses on the supply chains andlogistic processes, assessment of their performance, lifecycle analysis and management. Thestudent group project will be carried out in an industrial setting, dealing with real-lifeassignments. The fourth course focused on the service engineering concepts and still in the planningphase, is intended to integrate knowledge acquired by the

Conference Session

Integrating Research

Collection

2012 ASEE Annual Conference & Exposition

Authors

Alison M. Knight, Mayo Clinic; Gillian M. Nicholls, University of Alabama, Huntsville; Paul J. Componation, University of Alabama, Huntsville

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

industrial and systems engineering and engineering manage- ment and a 2009-10 Gray Faculty Fellow at the University of Alabama, Huntsville. Her research interests are in applying statistical analysis and optimization to supply chain management, transportation man- agement, and engineering education. She holds a B.S. in industrial engineering (Lehigh University), a master’s in business administration (Penn State University), a M.S. in industrial engineering (University of Pittsburgh), and a Ph.D. in industrial engineering (University of Pittsburgh). Address: N149 Technol- ogy Hall, The University of Alabama in Huntsville, Huntsville, AL 35899; Phone: (+1) 256-824-6637; Fax: (+1) 256-824-6733; Email: gillian.nicholls