Professor Dahel was a faculty member in the Department of Information Systems and Operations Management at the University of Toledo, Ohio. He has also taught at the University of Wisconsin-Milwaukee and Central Michigan University.
His current research interests involve the selection and evaluation of suppliers and the analysis of strategic sourcing decisions. Another component of his research focuses on investigating routing and transportation decisions and their impact on distribution efficiency in a supply chain. His prior research focused on the design and operations of cellular manufacturing systems.
Professor Dahel's recent journal publications have appeared in the International Journal of Production Research, the International Journal of Supply Chain Management, and the proceeding of Decision Sciences.
Active in professional organizations, he has presented papers, served as session chair, paper reviewer, and discussant at conferences of the Decision Sciences Institute, the Institute of Management Sciences, the Operations Research Society of America, and the Production and Operations Management Society.
International supply chain management, logistics, management science, operations management
PhD, Management Sciences, MBA, Operations Management, Illinois Institute of Technology; BS, Business, UniversitÃ© de Constantine, Algeria
"Optimizing Routing Decisions in Crossdocking Distribution Systems"
"Vendor Selection and Order Quantity Allocation in Volume Discount Environments"
"A Multiobjective Mixed Integer Program for Procurement Decisions with Volume Discounts"
"Design of Cellular Manufacturing Systems in Tandem Configuration"
"Local and Centralized Purchasing Constructs under Demand Capacity Quality and Lead Time Constraints"
Courses offered in the past four years.
▲ indicates offered in the current term
▹ indicates offered in the upcoming term[s]
IMGT 8541 - Business Statistics
Statistics is one of the most important analytical tools business people use to solve everyday business problems. Many areas of business are becoming increasingly dependent on data. Learn how to get information from data and interpret statistical results, and you will be able to make informed decisions. This course is designed so that all major topics in introductory applied statistics can be covered in a single semester. Areas covered include data analysis and acquisition, descriptive and numerical methods, statistical inference, regression analysis and statistical process control. Following American Statistical Association guidelines on making statistics more effective in schools of business, the course focuses on fostering statistical thinking, not just teach methods. Attention is given to the analysis of business data and interpretation of the results, with less emphasis on calculations. Because of the important role software packages play in the computation and presentation of statistical results, the course shows how to perform statistical analysis with
Microsoft Excel, a modern spreadsheet.
Fall 2009 - MIIS, Fall 2010 - MIIS, Spring 2011 - MIIS
MBAG 8540 / IMGT 8540 - QuantitatvAnlysis for Business ▲
Making good business decisions is rarely an easy task. The problems faced by decision makers in today’s competitive, fast-paced business environment are often extremely complex and cannot be solved by intuition and subjective judgment alone. This course is about the use of quantitative methods for making better management decisions. It introduces key mathematical models from the fields of statistics, decision analysis, and management science, describes the purpose of a particular model, explains how to formulate and solve the model, and discusses how managers can interpret the use of the solutions to improve their decision making. The real-world application and managerial orientation of the course is designed to motivate students apply analytical approaches and to help them decide which quantitative tools to use in support of specific decision making situations. Topics covered include cost/revenue models and breakeven analysis, probability and probability distributions, decision analysis, forecasting, regression analysis, linear programming, distribution and network models, project scheduling: PERT/CPM, and waiting line models.
Fall 2011 - MIIS, Spring 2012 - MIIS, Fall 2012 - MIIS, Spring 2013 - MIIS, Fall 2013 - MIIS
MBAG 8546 / IMGT 8546 - Operations Management
Operations is the core function of most business organizations. It is directly responsible for the value-added transformation of inputs into useful goods and services and their delivery to customers. The overall goal of operations management is to maximize the effectiveness and efficiency of the transformation and delivery process. Successful organizations have demonstrated that operations can be a powerful competitive weapon for making major penetrations into markets worldwide. This course introduces the principles, concepts and analytical tools of operations management. It is designed to address the key operations and logistical issues in service and manufacturing organizations that have strategic as well as tactical implications.
Fall 2010 - MIIS, Spring 2011 - MIIS, Fall 2011 - MIIS, Spring 2012 - MIIS, Spring 2013 - MIIS
MBAG 8632 / IMGT 8632 - SixSigmaQuality&ProcssImprvmnt ▲
ix Sigma is a business improvement approach that seeks to find and eliminate causes of defects, errors, and variations in a process by focusing on outputs that are critical to customers. It is driven by the disciplined use of data, statistical analysis, and diligent attention to managing, improving, and reinventing business processes. This course provides a succinct introduction to Six Sigma concepts principles and methodology, and presents the keys to successfully implementing and sustaining a Six Sigma program.
Fall 2012 - MIIS, Fall 2013 - MIIS
MBAG 8648 / IMGT 8648 - Supply Chain Management
Supply chain management is unique and, to some degree, represents a paradox because it is concerned with one of the oldest and also the most newly discovered activities of business. Supply chain system activities – communication, inventory management, warehousing, transportation, and facility location – have been performed since the start of commercial activity. It is difficult to visualize any product that could reach a customer without logistical support. Yet it is only over the last few years that firms have started focusing on logistics and supply chain management as a source of competitive advantage. There is a realization that no company can do any better than its supply chain. This becomes even more important given that product life cycles are shrinking and competition is intense. Supply chain management today represents a great challenge as well as a tremendous opportunity for most firms. In this course we will present and explain concepts, insights, practical tools and decision support systems important for the effective management of the supply chain. Our goal is to understand how supply chain decisions impact the performance of the firm as well as the entire supply chain. The key will be to understand the link between supply chain structures and logistical capabilities in a firm or supply chain.
Fall 2009 - MIIS, Fall 2010 - MIIS, Spring 2013 - MIIS