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]
ECPR 8550 - Business Fundamentals
Summer 2015 - MIIS
ITDG 8541 - Business Statistics
Fall 2015 - MIIS
MBAG 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 2014 - MIIS
MBAG 8541 - Business Statistics
Fall 2015 - MIIS
MBAG 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.
Spring 2015 - MIIS
MBAG 8662 - Supply Chain Value Creation
This course is targeted toward MBA students as well as managers in business consulting and industry interested in operations, supply chain management, and logistics. It covers not only high-level supply chain strategy and concepts, but also analytical tools necessary to solve supply chain problems. The course identifies facilities, inventory, transportation, information, sourcing, and pricing as key drivers of supply chain performance and sustainability, and discusses practical managerial levers and concepts that may be used during supply chain design, planning, and operations to create and improve supply chain value. The strategic frameworks and concepts discussed in this course are tied together through a variety of examples and case studies that show how a combination of approaches is needed to achieve significant increases in supply chain performance, value, and sustainability.
A major part of the course will discuss solution tools to supply chain problems. These tools comprise a varied assortment of quantitative methods that address problems in distribution, transportation, inventory management, purchasing, supply chain design, and customer service. Competency with these analytical tools provides students in this course value added beyond the knowledge that may be gained simply by reading various non-technical books on the subject that cover issues broadly but forgo the depth that quantitative analysis provides. Another portion of the course will address the strategic, integrative issues of the supply chain, like information exchange, buyer-supplier relationships, distribution strategies, outsourcing decisions, strategic alliances, and sustainable supply chain management initiatives.
Fall 2014 - MIIS, Fall 2015 - MIIS
MBAG 8663 - Supply Chain Efficiency & Risk
Supply chain risk has become a primary concern to many businesses today. The consequences of supply chain risk include not just financials losses but also disruption of supplies and interruption of operations which impede the ability of the firm to meet demand. In addition to identifying supply chain risks, their classification, and measurement, the course discusses a select number of conceptual models for risk detectability and recovery, and presents tools, techniques, and approaches for managing supply chain operations for efficiency in the presence of risks.
Spring 2015 - MIIS